id
stringlengths 9
16
| abstract
stringlengths 67
2.61k
| cats
list | primary
stringlengths 5
18
| secondary
stringlengths 0
18
| strlabel
stringlengths 5
315
| stratlabel
class label 7.27k
classes |
---|---|---|---|---|---|---|
1312.5318
|
There have been some recent claims in the literature about large right-handed
sneutrinos contributions to lepton flavor violating observables like $\mu \to
3e$ or $\mu - e$ conversion in nuclei in supersymmetric low-scale seesaw
models. These large contributions originate from $Z$-penguin diagrams which
show a much weaker dependence on the heavy masses than the photonic
contributions. We have traced this to an error in the evaluation of the
corresponding loop amplitudes which has propagated in the literature. We
explicitly show that after correcting this mistake the $Z$-penguins show the
expected decoupling behavior. Moreover, the reported dominance of the
$Z$-penguin over the photonic contributions disappears as well.
|
[
"hep-ph"
] |
hep-ph
|
High Energy Physics - Phenomenology
| 3,129High Energy Physics - Phenomenology
|
|
cond-mat/0402004
|
Although most known non-Fermi liquid (NFL) materials are structurally or
chemically disordered, the role of this disorder remains unclear. In
particular, very few systems have been discovered that may be stoichiometric
and well ordered. To test whether U3Ni3Sn4 belongs in this latter class, we
present measurements of the x-ray absorption fine structure (XAFS) of
polycrystalline and single-crystal U3Ni3Sn4 samples that are consistent with no
measurable local structural disorder. We also present temperature-dependent
specific heat data in applied magnetic fields as high as 8 T that show features
that are inconsistent with the antiferromagnetic Griffiths' phase model, but do
support the conclusion that a Fermi liquid/NFL crossover temperature increases
with applied field. These results are inconsistent with theoretical
explanations that require strong disorder effects, but do support the view that
U3Ni3Sn4 is a stoichiometric, ordered material that exhibits NFL behavior, and
is best described as being near an antiferromagnetic quantum critical point.
|
[
"cond-mat.str-el"
] |
cond-mat.str-el
|
Strongly Correlated Electrons
| 6,979Strongly Correlated Electrons
|
|
1406.2663
|
The AdS/CFT correspondence relates quantum entanglement between boundary
Conformal Field Theories and geometric connections in the dual asymptotically
Anti-de Sitter space-time. We consider entangled states in the n-fold tensor
product of a 1+1 dimensional CFT Hilbert space defined by the Euclidean path
integral over a Riemann surface with n holes. In one region of moduli space,
the dual bulk state is a black hole with n asymptotically AdS_3 regions
connected by a common wormhole, while in other regions the bulk fragments into
disconnected components. We study the entanglement structure and compute the
wave function explicitly in the puncture limit of the Riemann surface in terms
of CFT n-point functions. We also use AdS minimal surfaces to measure
entanglement more generally. In some regions of the moduli space the
entanglement is entirely multipartite, though not of the GHZ type. However,
even when the bulk is completely connected, in some regions of the moduli space
the entanglement is almost entirely bipartite: significant entanglement occurs
only between pairs of CFTs. We develop new tools to analyze intrinsically
n-partite entanglement, and use these to show that for some wormholes with n
similar sized horizons there is intrinsic entanglement between at least n-1
parties, and that the distillable entanglement between the asymptotic regions
is at least (n+1)/2 partite.
|
[
"hep-th",
"gr-qc",
"quant-ph"
] |
hep-th
|
gr-qc
|
High Energy Physics - Theory;General Relativity and Quantum Cosmology;Quantum Physics
| 3,334High Energy Physics - Theory;General Relativity and Quantum Cosmology;Quantum Physics
|
0902.0772
|
I examine the uncertainty of perturbative QCD factorization for (un)polarized
hadron structure functions in deep inelastic scattering at a large value of the
Bjorken variable xB. The focus will be on Target Mass Corrections and Jet Mass
Corrections in the collinear factorization framework.
|
[
"hep-ph"
] |
hep-ph
|
High Energy Physics - Phenomenology
| 3,129High Energy Physics - Phenomenology
|
|
2112.02392
|
Understanding the causes of sinkholes and determining the earth's subsurface
properties will help Engineering Geologists in designing and constructing
different kinds of structures. Also, determining subsurface properties will
increase possibilities of preventing expensive structural damages as well as a
loss of life. Among the available health monitoring techniques, non-destructive
methods play an important role. Full-waveform inversion together with the
Gauss-Newton method, which we called as the regular method, able to determine
the properties of the subsurface data from seismic data. However, one of the
drawbacks of the Gauss-Newton method is a large memory requirement to store the
Jacobian matrix. In this work, we use a different cell size approach to address
the above issue. Results are validated for a synthetic model with an embedded
air-filled void and compared with the regular method.
|
[
"math.AP",
"cs.NA",
"math.NA"
] |
math.AP
|
cs.NA
|
Analysis of PDEs;Numerical Analysis;Numerical Analysis
| 254Analysis of PDEs;Numerical Analysis;Numerical Analysis
|
1203.4888
|
A quantum mechanical model of two interacting electrons in graphene is
considered. We concentrate on the case of zero total momentum of the pair. We
show that the dynamics of the system is very unusual. Both stationary and
time-dependent problems are considered. It is shown that the complete set of
the wave functions with definite energy includes the new functions, previously
overlooked. The time evolution of the wave packet, corresponding to the
scattering problem setup, leads to the appearance of the localized state at
large time. The asymptotics of this state is found analytically. We obtain the
lower bound of the life time of this state, which is connected with the
breakdown of the continuous model on the lattice scale. The estimate of this
bound gives one a hope to observe the localized states in the experiment.
|
[
"cond-mat.str-el"
] |
cond-mat.str-el
|
Strongly Correlated Electrons
| 6,979Strongly Correlated Electrons
|
|
0704.3343
|
We consider Z_2-symmetric braneworlds arising from 5-sphere compactifications
with 5-form flux in type IIB supergravity. This Kaluza-Klein reduction produces
a D=5 theory which supports 1/2-supersymmetric Z_2-symmetric domain-wall
solutions. However, upon lifting such solutions back to D=10, one finds that
supersymmetry is broken by 5-sphere Kaluza-Klein effects. This happens owing to
the action on the Killing spinor of the Z_2 \subset SO(1,9) symmetry, which
requires an orientation-reversing transformation in the 5-sphere directions
together with the flip of the orbifold coordinate. We study the consequences of
this supersymmetry breaking for the masses of fermion fluctuation modes about
the brane background and find a natural two-scale hierarchy: some bulk modes
have characteristic masses of order 1/L_5 but other modes more closely
associated to the branes have an additional factor exp(-\rho/L_5), where L_5 is
the AdS_5 length parameter and \rho is the orbifold size.
|
[
"hep-th",
"hep-ph"
] |
hep-th
|
hep-ph
|
High Energy Physics - Theory;High Energy Physics - Phenomenology
| 3,348High Energy Physics - Theory;High Energy Physics - Phenomenology
|
1407.0604
|
The Church-Turing thesis is one of the pillars of computer science; it
postulates that every classical system has equivalent computability power to
the so-called Turing machine. While this thesis is crucial for our
understanding of computing devices, its implications in other scientific fields
have hardly been explored. Here we start this research programme in the context
of quantum physics and show that computer science laws have profound
implications for some of the most fundamental results of the theory. We first
show how they question our knowledge on what a mixed quantum state is, as we
identify situations in which ensembles of quantum states defining the same
mixed state, indistinguishable according to the quantum postulates, do become
distinguishable when prepared by a computer. We also show a new loophole for
Bell-like experiments: if some of the parties in a Bell-like experiment use a
computer to decide which measurements to make, then the computational resources
of an eavesdropper have to be limited in order to have a proper observation of
non-locality. Our work opens a new direction in the search for a framework
unifying computer science and quantum physics.
|
[
"quant-ph"
] |
quant-ph
|
Quantum Physics
| 5,985Quantum Physics
|
|
1104.1701
|
We describe a family of phase transitions connecting phases of differing
non-trivial topological order by explicitly constructing Hamiltonians of the
Levin-Wen[PRB 71, 045110] type which can be tuned between two solvable points,
each of which realizes a different topologically ordered phase. We show that
the low-energy degrees of freedom near the phase transition can be mapped onto
those of a Potts model, and we discuss the stability of the resulting phase
diagram to small perturbations about the model. We further explain how the
excitations in the condensed phase are formed from those in the original
topological theory, some of which are split into multiple components by
condensation, and we discuss the implications of our results for understanding
the nature of general achiral topological phases in 2+1 dimensions in terms of
doubled Chern-Simons theories.
|
[
"cond-mat.str-el",
"cond-mat.stat-mech"
] |
cond-mat.str-el
|
cond-mat.stat-mech
|
Strongly Correlated Electrons;Statistical Mechanics
| 7,046Strongly Correlated Electrons;Statistical Mechanics
|
1304.2372
|
Recent developments using directed acyclical graphs (i.e., influence diagrams
and Bayesian networks) for knowledge representation have lessened the problems
of using probability in knowledge-based systems (KBS). Most current research
involves the efficient propagation of new evidence, but little has been done
concerning the maintenance of domain-specific knowledge, which includes the
probabilistic information about the problem domain. By making use of
conditional independencies represented in she graphs, however, probability
assessments are required only for certain variables when the knowledge base is
updated. The purpose of this study was to investigate, for those variables
which require probability assessments, ways to reduce the amount of new
knowledge required from the expert when updating probabilistic information in a
probabilistic knowledge-based system. Three special cases (ignored outcome,
split outcome, and assumed constraint outcome) were identified under which many
of the original probabilities (those already in the knowledge-base) do not need
to be reassessed when maintenance is required.
|
[
"cs.AI"
] |
cs.AI
|
Artificial Intelligence
| 361Artificial Intelligence
|
|
2011.00984
|
In this paper, we studied the ``hyperon puzzle", a problem that nevertheless
the large number of studies is still an open problem. The solution of this
issue requires one or more mechanisms that could eventually provide the
additional repulsion needed to make the EoS stiffer and, therefore, the value
of $M_{\rm{max}, T}$ compatible with the current observational limits. In this
paper we proposed that including dark matter (DM) admixed with ordinary matter
in neutron stars (NSs), change the hydrostatic equilibrium and may explain the
observed discrepancies, regardless to hyperon multi-body interactions, which
seem to be unavoidable.
We have studied how non-self-annihilating, and self-interacting, DM admixed
with ordinary matter in NSs changes their inner structure, and discussed the
mass-radius relations of such NSs. We considered DM particle masses of 1, 10,
and 100 GeV, while taking into account a rich list of the DM interacting
strengths, $y$.
By analyzing the multidimensional parameter space, including several
quantities like: a. the DM interacting strength, b. the DM particle mass as
well as the quantity of DM in its interior, and c. the DM fraction, ${\rm
f}_{DM}$, we put constraints in the parameter space ${\rm f}_{DM} -
p^{\prime}_{\rm DM}/p^{\prime}_{\rm OM}$. Our bounds are sensitive to the
recently observed NSs total masses.
|
[
"gr-qc",
"astro-ph.HE",
"hep-ph",
"nucl-th"
] |
gr-qc
|
astro-ph.HE
|
General Relativity and Quantum Cosmology;High Energy Astrophysical Phenomena;High Energy Physics - Phenomenology;Nuclear Theory
| 2,733General Relativity and Quantum Cosmology;High Energy Astrophysical Phenomena;High Energy Physics - Phenomenology;Nuclear Theory
|
hep-ph/9411387
|
We reconsider a cosmological evolution of domain walls produced by
spontaneous breaking of an approxime discrete symmetry. We show, that domain
walls may never collapse even if the standard bound on the vacuum energy
asymmetry is satisfied. Instead of disappearing, these defects may form stable
``bound states'' - double wall systems. Possible stability of such a wall is a
dynamical question and consequently restricts the allowed range of parameters.
In particular, in the two Higgs doublet standard model with an anomalous Z(2)
symmetry, the above restriction suggests the mass of the pseudoscalar Higgs
(would be axion) being close to the mass of the scalar one.
|
[
"hep-ph"
] |
hep-ph
|
High Energy Physics - Phenomenology
| 3,129High Energy Physics - Phenomenology
|
|
1510.03621
|
In this paper we present the results of the first low frequency all-sky
search of continuous gravitational wave signals conducted on Virgo VSR2 and
VSR4 data. The search covered the full sky, a frequency range between 20 Hz and
128 Hz with a range of spin-down between $-1.0 \times 10^{-10}$ Hz/s and $+1.5
\times 10^{-11}$ Hz/s, and was based on a hierarchical approach. The starting
point was a set of short Fast Fourier Transforms (FFT), of length 8192 seconds,
built from the calibrated strain data. Aggressive data cleaning, both in the
time and frequency domains, has been done in order to remove, as much as
possible, the effect of disturbances of instrumental origin. On each dataset a
number of candidates has been selected, using the FrequencyHough transform in
an incoherent step. Only coincident candidates among VSR2 and VSR4 have been
examined in order to strongly reduce the false alarm probability, and the most
significant candidates have been selected. Selected candidates have been
subject to a follow-up by constructing a new set of longer FFTs followed by a
further incoherent analysis, still based on the FrequencyHough transform. No
evidence for continuous gravitational wave signals was found, therefore we have
set a population-based joint VSR2-VSR4 90$\%$ confidence level upper limit on
the dimensionless gravitational wave strain in the frequency range between 20
Hz and 128 Hz. This is the first all-sky search for continuous gravitational
waves conducted, on data of ground-based interferometric detectors, at
frequencies below 50 Hz. We set upper limits in the range between about
$10^{-24}$ and $2\times 10^{-23}$ at most frequencies. Our upper limits on
signal strain show an improvement of up to a factor of $\sim$2 with respect to
the results of previous all-sky searches at frequencies below $80~\mathrm{Hz}$.
|
[
"astro-ph.IM",
"astro-ph.HE",
"gr-qc"
] |
astro-ph.IM
|
astro-ph.HE
|
Instrumentation and Methods for Astrophysics;High Energy Astrophysical Phenomena;General Relativity and Quantum Cosmology
| 3,740Instrumentation and Methods for Astrophysics;High Energy Astrophysical Phenomena;General Relativity and Quantum Cosmology
|
0909.1292
|
The magnetic-field-induced variations of the microwave surface resistance,
R_s, have been investigated in ceramic Mg_{1-x}(LiAl)_xB_2, with x in the range
0.1 - 0.4. The measurements have been performed on increasing and decreasing
the DC magnetic field, H_0, at fixed temperatures. At low temperatures, we have
observed a magnetic hysteresis in the R_s(H_0) curves in all the investigated
samples. On increasing the temperature, the range of H_0 in which the
hysteretic behavior is visible shrinks; however, in the sample with x = 0.1 it
is present up to temperatures close to T_c. We show that the field dependence
of R_s can be quantitatively justified taking into account the critical-state
effects on the fluxon lattice only in the sample with x = 0.4. On the contrary,
in the samples with x < 0.4 the hysteresis exhibits an unusual shape, similar
to that observed in others two-gap MgB_2 samples, which cannot be justified in
the framework of the critical-state models.
|
[
"cond-mat.supr-con"
] |
cond-mat.supr-con
|
Superconductivity
| 7,066Superconductivity
|
|
1603.07409
|
Recent advancements in remote sensing technology, specifically Light
Detection and Ranging (LiDAR) sensors, provide the data needed to quantify
forest characteristics at a fine spatial resolution over large geographic
domains. From an inferential standpoint, there is interest in prediction and
interpolation of the often sparsely sampled and spatially misaligned LiDAR
signals and forest variables. We propose a fully process-based Bayesian
hierarchical model for above ground biomass (AGB) and LiDAR signals. The
process-based framework offers richness in inferential capabilities, e.g.,
inference on the entire underlying processes instead of estimates only at
pre-specified points. Key challenges we obviate include misalignment between
the AGB observations and LiDAR signals and the high-dimensionality in the model
emerging from LiDAR signals in conjunction with the large number of spatial
locations. We offer simulation experiments to evaluate our proposed models and
also apply them to a challenging dataset comprising LiDAR and spatially
coinciding forest inventory variables collected on the Penobscot Experimental
Forest (PEF), Maine. Our key substantive contributions include AGB data
products with associated measures of uncertainty for the PEF and, more broadly,
a methodology that should find use in a variety of current and upcoming forest
variable mapping efforts using sparsely sampled remotely sensed
high-dimensional data.
|
[
"stat.AP"
] |
stat.AP
|
Applications
| 276Applications
|
|
1412.5251
|
We used the CHARA Array to directly measure the angular diameter of HD 69830,
home to three Neptune mass planets and an asteroid belt. Our measurement of
0.674+/-0.014 milli-arcseconds for the limb-darkened angular diameter of this
star leads to a physical radius of R$_*$ = 0.9058$\pm$0.0190 R\sun and
luminosity of L* = 0.622+/-0.014 Lsun when combined with a fit to the spectral
energy distribution of the star. Placing these observed values on an
Hertzsprung-Russel (HR) diagram along with stellar evolution isochrones
produces an age of 10.6+/-4 Gyr and mass of 0.863$\pm$0.043 M\sun. We use
archival optical echelle spectra of HD 69830 along with an iterative spectral
fitting technique to measure the iron abundance ([Fe/H]=-0.04+/-0.03),
effective temperature (5385+/-44 K) and surface gravity (log g = 4.49+/-0.06).
We use these new values for the temperature and luminosity to calculate a more
precise age of 7.5+/-Gyr. Applying the values of stellar luminosity and radius
to recent models on the optimistic location of the habitable zone produces a
range of 0.61-1.44 AU; partially outside the orbit of the furthest known planet
(d) around HD 69830. Finally, we estimate the snow line at a distance of
1.95+/-0.19 AU, which is outside the orbit of all three planets and its
asteroid belt.
|
[
"astro-ph.SR"
] |
astro-ph.SR
|
Solar and Stellar Astrophysics
| 6,668Solar and Stellar Astrophysics
|
|
1307.8035
|
It was shown recently that there exists a true quantum transition-state
theory (QTST) corresponding to the t->0+ limit of a (new form of) quantum
flux-side time-correlation function. Remarkably, this QTST is identical to
ring-polymer molecular dynamics (RPMD) TST. Here we provide evidence which
suggests very strongly that this QTST (= RPMD-TST) is unique, in the sense that
the t->0+ limit of any other flux-side time-correlation function gives either
non-positive-definite quantum statistics or zero. We introduce a generalized
flux-side time-correlation function which includes all other (known) flux-side
time-correlation functions as special limiting cases. We find that the only
non-zero t->0+ limit of this function that contains positive-definite quantum
statistics is RPMD-TST.
|
[
"physics.chem-ph"
] |
physics.chem-ph
|
Chemical Physics
| 859Chemical Physics
|
|
supr-con/9508001
|
We investigate the kinetics of normal phase nucleation and flux line
condensation in the type-II superconductors by numerical study of the
time-dependent Ginzburg-Landau equation. We have shown that under the
sufficient transport current the normal phase nucleates in the superconducting
strips in a form of the macroscopic droplets having the multiple topological
charge. We discuss the stability and the dynamics of the droplets. We found
that pinning suppresses the droplet formation.
|
[
"supr-con",
"cond-mat.supr-con"
] |
supr-con
|
cond-mat.supr-con
|
Superconductivity;Superconductivity
| 7,106Superconductivity;Superconductivity
|
1909.02192
|
One of the primary challenges of system identification is determining how
much data is necessary to adequately fit a model. Non-asymptotic
characterizations of the performance of system identification methods provide
this knowledge. Such characterizations are available for several algorithms
performing open-loop identification. Often times, however, data is collected in
closed-loop. Application of open-loop identification methods to closed-loop
data can result in biased estimates. One method used by subspace identification
techniques to eliminate these biases involves first fitting a long-horizon
autoregressive model, then performing model reduction. The asymptotic behavior
of such algorithms is well characterized, but the non-asymptotic behavior is
not. This work provides a non-asymptotic characterization of one particular
variant of these algorithms. More specifically, we provide non-asymptotic upper
bounds on the generalization error of the produced model, as well as high
probability bounds on the difference between the produced model and the finite
horizon Kalman Filter.
|
[
"eess.SY",
"cs.SY"
] |
eess.SY
|
cs.SY
|
Systems and Control;Systems and Control
| 7,220Systems and Control;Systems and Control
|
2102.02220
|
Context. The paths followed by the known extreme trans-Neptunian objects
(ETNOs) effectively avoid direct gravitational perturbations from the four
giant planets, yet their orbital eccentricities are in the range between
0.69-0.97. Solar system dynamics studies show that such high values of the
eccentricity can be produced via close encounters or secular perturbations. In
both cases, the presence of yet-to-be-discovered trans-Plutonian planets is
required.
Aims. If the high eccentricities of the known ETNOs are the result of
relatively recent close encounters with putative planets, the mutual nodal
distances of sizeable groups of ETNOs with their assumed perturber may still be
small enough to be identifiable geometrically. In order to confirm or reject
this possibility, we used Monte Carlo random search techniques.
Methods. Two arbitrary orbits may lead to close encounters when their mutual
nodal distance is sufficiently small. We generated billions of random planetary
orbits with parameters within the relevant ranges and computed the mutual nodal
distances with a set of randomly generated orbits with parameters consistent
with those of the known ETNOs and their uncertainties. We monitored which
planetary orbits had the maximum number of potential close encounters with
synthetic ETNOs and we studied the resulting distributions.
Results. We provide narrow ranges for the orbital parameters of putative
planets that may have experienced orbit-changing encounters with known ETNOs.
Conclusions. Our calculations suggest that more than one perturber is
required if scattering is the main source of orbital modification for the known
ETNOs. Perturbers might not be located farther than 600 AU and they have to
follow moderately eccentric and inclined orbits to be capable of experiencing
close encounters with multiple known ETNOs.
|
[
"astro-ph.EP"
] |
astro-ph.EP
|
Earth and Planetary Astrophysics
| 2,351Earth and Planetary Astrophysics
|
|
2110.13381
|
The role played by a Lorentz-violating term on the outcomes of kink
scattering in the $\phi^6$ model is investigated by using the Fourier spectral
method. Impacts of the Lorentz-violating term on the critical velocities, the
location of two-bounce windows, and the maximal values of various types of
energy densities are analyzed. Some novel features of kink-antikink collisions
are discussed. The interactions between three and four kinks are also
considered.
|
[
"hep-th"
] |
hep-th
|
High Energy Physics - Theory
| 3,266High Energy Physics - Theory
|
|
2309.02138
|
The aim of this work is to introduce Generalized Simplicial Attention Neural
Networks (GSANs), i.e., novel neural architectures designed to process data
defined on simplicial complexes using masked self-attentional layers. Hinging
on topological signal processing principles, we devise a series of
self-attention schemes capable of processing data components defined at
different simplicial orders, such as nodes, edges, triangles, and beyond. These
schemes learn how to weight the neighborhoods of the given topological domain
in a task-oriented fashion, leveraging the interplay among simplices of
different orders through the Dirac operator and its Dirac decomposition. We
also theoretically establish that GSANs are permutation equivariant and
simplicial-aware. Finally, we illustrate how our approach compares favorably
with other methods when applied to several (inductive and transductive) tasks
such as trajectory prediction, missing data imputation, graph classification,
and simplex prediction.
|
[
"cs.LG",
"cs.AI",
"math.AT"
] |
cs.LG
|
cs.AI
|
Machine Learning;Artificial Intelligence;Algebraic Topology
| 7,267longtail
|
1503.01554
|
We consider two immobile spin $1/2$ fermions in a two-dimensional magnetic
system that is close to the $ O(3)$ magnetic quantum critical point (QCP) which
separates magnetically ordered and disordered phases. Focusing on the
disordered phase in the vicinity of the QCP, we demonstrate that the
criticality results in a strong long range attraction between the fermions,
with potential $V(r) \propto -1/r^{\nu}$, $\nu \approx 0.75$, where $r$ is
separation between the fermions. The mechanism of the enhanced attraction is
similar to Casimir effect and corresponds to multi-magnon exchange processes
between the fermions. While we consider a model system, the problem is
originally motivated by recent establishment of magnetic QCP in hole doped
cuprates under the superconducting dome at doping of about 10\%. We suggest the
mechanism of magnetic critical enhancement of pairing in cuprates.
|
[
"cond-mat.str-el",
"cond-mat.supr-con",
"quant-ph"
] |
cond-mat.str-el
|
cond-mat.supr-con
|
Strongly Correlated Electrons;Superconductivity;Quantum Physics
| 7,055Strongly Correlated Electrons;Superconductivity;Quantum Physics
|
1510.04953
|
Recurrent Neural Networks (RNNs) have long been recognized for their
potential to model complex time series. However, it remains to be determined
what optimization techniques and recurrent architectures can be used to best
realize this potential. The experiments presented take a deep look into Hessian
free optimization, a powerful second order optimization method that has shown
promising results, but still does not enjoy widespread use. This algorithm was
used to train to a number of RNN architectures including standard RNNs, long
short-term memory, multiplicative RNNs, and stacked RNNs on the task of
character prediction. The insights from these experiments led to the creation
of a new multiplicative LSTM hybrid architecture that outperformed both LSTM
and multiplicative RNNs. When tested on a larger scale, multiplicative LSTM
achieved character level modelling results competitive with the state of the
art for RNNs using very different methodology.
|
[
"stat.ML",
"cs.LG",
"cs.NE"
] |
stat.ML
|
cs.LG
|
Machine Learning;Machine Learning;Neural and Evolutionary Computing
| 4,184Machine Learning;Machine Learning;Neural and Evolutionary Computing
|
1011.2417
|
The main purpose of this paper is to construct not only generating functions
of the new approach Genocchi type numbers and polynomials but also
interpolation function of these numbers and polynomials which are related to a,
b, c arbitrary positive real parameters. We prove multiplication theorem of
these polynomials. Furthermore, we give some identities and applications
associated with these numbers, polynomials and their interpolation functions.
|
[
"math.NT"
] |
math.NT
|
Number Theory
| 4,945Number Theory
|
|
hep-lat/0004014
|
We show that, under certain general assumptions, any sensible lattice Dirac
operator satisfies a generalized form of the Ginsparg-Wilson relation (GWR).
Those assumptions, on the other hand, are mostly dictated by large momentum
behaviour considerations. We also show that all the desirable properties often
deduced from the standard GWR hold true of the general case as well; hence one
has, in fact, more freedom to modify the form of the lattice Dirac operator,
without spoiling its nice properties. Our construction, a generalized
Ginsparg-Wilson relation (GGWR), is satisfied by some known proposals for the
lattice Dirac operator. We discuss some of these examples, and also present a
derivation of the GGWR in terms of a renormalization group transformation with
a blocking which is not diagonal in momentum space, but nevertheless commutes
with the Dirac operator.
|
[
"hep-lat",
"hep-th"
] |
hep-lat
|
hep-th
|
High Energy Physics - Lattice;High Energy Physics - Theory
| 3,110High Energy Physics - Lattice;High Energy Physics - Theory
|
2001.04036
|
We study the dynamics of a droplet moving on an inclined rough surface in the
absence of inertial and viscous stress effects. In this case, the dynamics of
the droplet is a purely geometric motion in terms of the wetting domain and the
capillary surface. Using a single graph representation, we interpret this
geometric motion as a gradient flow on a Hilbert manifold. We propose
unconditionally stable first/second order numerical schemes to simulate this
geometric motion of the droplet, which is described using motion by mean
curvature coupled with moving contact lines. The schemes are based on (i)
explicit moving boundaries, which decouple the dynamic updates of the contact
lines and the capillary surface, (ii) a semi-Lagrangian method on moving grids
and (iii) a predictor-corrector method with a nonlinear elliptic solver upto
second order accuracy. For the case of quasi-static dynamics with continuous
spatial variable in the numerical schemes, we prove the stability and
convergence of the first/second order numerical schemes. To demonstrate the
accuracy and long-time validation of the proposed schemes, several challenging
computational examples - including breathing droplets, droplets on
inhomogeneous rough surfaces and quasi-static Kelvin pendant droplets - are
constructed and compared with exact solutions to quasi-static dynamics obtained
by desingularized differential-algebraic system of equations (DAEs).
|
[
"math.NA",
"cs.NA",
"physics.flu-dyn"
] |
math.NA
|
cs.NA
|
Numerical Analysis;Numerical Analysis;Fluid Dynamics
| 5,076Numerical Analysis;Numerical Analysis;Fluid Dynamics
|
2012.04012
|
While current monocular 3D face reconstruction methods can recover fine
geometric details, they suffer several limitations. Some methods produce faces
that cannot be realistically animated because they do not model how wrinkles
vary with expression. Other methods are trained on high-quality face scans and
do not generalize well to in-the-wild images. We present the first approach
that regresses 3D face shape and animatable details that are specific to an
individual but change with expression. Our model, DECA (Detailed Expression
Capture and Animation), is trained to robustly produce a UV displacement map
from a low-dimensional latent representation that consists of person-specific
detail parameters and generic expression parameters, while a regressor is
trained to predict detail, shape, albedo, expression, pose and illumination
parameters from a single image. To enable this, we introduce a novel
detail-consistency loss that disentangles person-specific details from
expression-dependent wrinkles. This disentanglement allows us to synthesize
realistic person-specific wrinkles by controlling expression parameters while
keeping person-specific details unchanged. DECA is learned from in-the-wild
images with no paired 3D supervision and achieves state-of-the-art shape
reconstruction accuracy on two benchmarks. Qualitative results on in-the-wild
data demonstrate DECA's robustness and its ability to disentangle identity- and
expression-dependent details enabling animation of reconstructed faces. The
model and code are publicly available at https://deca.is.tue.mpg.de.
|
[
"cs.CV"
] |
cs.CV
|
Computer Vision and Pattern Recognition
| 1,498Computer Vision and Pattern Recognition
|
|
0906.5470
|
We study the proximity Josephson sensor (PJS) in both bolometric and
calorimetric operation and optimize it for different temperature ranges between
25 mK and a few Kelvin. We investigate how the radiation power is absorbed in
the sensor and find that the irradiated sensor is typically in a weak
nonequilibrium state. We show in detail how the proximity of the
superconductors affects the device response: for example via changes in
electron-phonon coupling and out-of-equilibrium noise. In addition, we estimate
the applicability of graphene as the absorber material.
|
[
"cond-mat.mes-hall",
"cond-mat.supr-con"
] |
cond-mat.mes-hall
|
cond-mat.supr-con
|
Mesoscale and Nanoscale Physics;Superconductivity
| 4,554Mesoscale and Nanoscale Physics;Superconductivity
|
1401.4010
|
We explore mechanical properties of top down fabricated, singly clamped
inverted conical GaAs nanowires. Combining nanowire lengths of 2-9 $\mu$m with
foot diameters of 36-935 nm yields fundamental flexural eigenmodes spanning two
orders of magnitude from 200 kHz to 42 MHz. We extract a size-independent value
of Young's modulus of (45$\pm$3) GPa. With foot diameters down to a few tens of
nanometers, the investigated nanowires are promising candidates for
ultra-flexible and ultra-sensitive nanomechanical devices.
|
[
"cond-mat.mes-hall"
] |
cond-mat.mes-hall
|
Mesoscale and Nanoscale Physics
| 4,450Mesoscale and Nanoscale Physics
|
|
2108.05673
|
Large-scale integration of converter-based renewable energy sources (RESs)
into the power system will lead to a higher risk of frequency nadir limit
violation and even frequency instability after the large power disturbance.
Therefore, it is essential to consider the frequency nadir constraint (FNC) in
power system scheduling. Nevertheless, the FNC is highly nonlinear and
non-convex. The state-of-the-art method to simplify the constraint is to
construct a low-order frequency response model at first, and then linearize the
frequency nadir equation. In this letter, an extreme learning machine
(ELM)-based network is built to de-rive the linear formulation of FNC, where
the two-step fitting process is integrated into one training process and more
details about the physical model of the generator are considered to reduce the
fitting error. Simulation results show the superiority of the proposed method
on the fitting accuracy.
|
[
"eess.SY",
"cs.SY"
] |
eess.SY
|
cs.SY
|
Systems and Control;Systems and Control
| 7,220Systems and Control;Systems and Control
|
1210.7052
|
We provide evidence that a root-mean-square test of goodness-of-fit can be
significantly more powerful than state-of-the-art exact tests in detecting
deviations from Hardy-Weinberg equilibrium. Unlike Pearson's chi-square test,
the log--likelihood-ratio test, and Fisher's exact test, which are sensitive to
relative discrepancies between genotypic frequencies, the root-mean-square test
is sensitive to absolute discrepancies. This can increase statistical power, as
we demonstrate using benchmark datasets and through asymptotic analysis. With
the aid of computers, exact P-values for the root-mean-square statistic can be
calculated eeffortlessly, and can be easily implemented using the author's
freely available code.
|
[
"stat.ME"
] |
stat.ME
|
Methodology
| 4,557Methodology
|
|
1702.08599
|
Let $p$ be a prime. In this short note we study some families of super
congruences involving the following alternating sums \begin{equation*}
\sum_{\substack{j_1+j_2+\cdots+j_n=2 p^r p\nmid j_1 j_2 \cdots j_n}}
\frac{(-1)^{j_1+\cdots+j_b}}{j_1\cdots j_n} \pmod{p^r}, \end{equation*} which
extend similar statements proved by Shen and Cai who treated the cases when
$n=4,5$.
|
[
"math.NT"
] |
math.NT
|
Number Theory
| 4,945Number Theory
|
|
1802.06478
|
In the present paper, we propose an efficient local search for the minimum
independent dominating set problem. We consider a local search that uses
$k$-swap as the neighborhood operation. Given a feasible solution $S$, it is
the operation of obtaining another feasible solution by dropping exactly $k$
vertices from $S$ and then by adding any number of vertices to it. We show
that, when $k=2$, (resp., $k=3$ and a given solution is minimal with respect to
2-swap), we can find an improved solution in the neighborhood or conclude that
no such solution exists in $O(n\Delta)$ (resp., $O(n\Delta^3)$) time, where $n$
denotes the number of vertices and $\Delta$ denotes the maximum degree. We
develop a metaheuristic algorithm that repeats the proposed local search and
the plateau search iteratively, where the plateau search examines solutions of
the same size as the current solution that are obtainable by exchanging a
solution vertex and a non-solution vertex. The algorithm is so effective that,
among 80 DIMACS graphs, it updates the best-known solution size for five graphs
and performs as well as existing methods for the remaining graphs.
|
[
"cs.DS"
] |
cs.DS
|
Data Structures and Algorithms
| 1,908Data Structures and Algorithms
|
|
1803.08458
|
In circular colliders, as well as in damping rings and synchrotron radiation
light sources, beam halo is one of the critical issues limiting the performance
as well as potentially causing component damage and activation. It is
imperative to clearly understand the mechanisms that lead to halo formation and
to test the available theoretical models. Elastic beam-gas scattering can drive
particles to large oscillation amplitudes and be a potential source of beam
halo. In this paper, numerical estimation and Monte Carlo simulations of this
process at the ATF of KEK are presented. Experimental measurements of beam halo
in the ATF2 beam line using a diamond sensor detector are also described, which
clearly demonstrates the influence of the beam-gas scattering process on the
transverse halo distribution.
|
[
"physics.acc-ph"
] |
physics.acc-ph
|
Accelerator Physics
| 0Accelerator Physics
|
|
0808.2686
|
We consider group orders and right-orders which are discrete, meaning there
is a least element which is greater than the identity. We note that free groups
cannot be given discrete orders, although they do have right-orders which are
discrete. More generally, we give necessary and sufficient conditions that a
given orderable group can be endowed with a discrete order. In particular,
every orderable group G embeds in a discretely orderable group. We also
consider conditions on right-orderable groups to be discretely right-orderable.
Finally, we discuss a number of illustrative examples involving discrete
orderability, including the Artin braid groups and Bergman's
non-locally-indicable right orderable groups.
|
[
"math.GR"
] |
math.GR
|
Group Theory
| 2,913Group Theory
|
|
2311.07182
|
Background: Several approaches are currently trying to understand the
generation of angular momentum in the fission fragments. The microscopic TDDFT
and statistical FREYA lead to different predictions concerning the opening
angle distribution formed between the two spins in particular at 0 and 180
degrees. Purpose: This letter aims to investigate how the geometry and the
quantum nature of spins impact the distribution of opening angles to understand
what leads to different model predictions. Method: Various assumptions of K
distribution (K=0, isotropic, isotropic with total K=0, and from TDFFT) are
investigated in a quantum approach. These distributions are then compared to
the classical limit using the Clebsch-Gordan coefficients in the limit of
$\hbar$ approaches zero. Results: It is shown that in all the schematic
scenario the quantal distribution of opening angle lead to the expected
behavior in the classical limit. The model shows that the quantal nature of the
spins prevents the population of opening angles close to 0 and 180 degrees. The
difference in opening angle in the 2D and isotropic 3D distribution is
discussed and it is shown that the realistic TDFFT opening angle distribution
presents an intermediate behavior between the two cases. Conclusions: The last
comparison reveals two key differences between the two models' predictions: the
quantal spins' nature in TDDFT and the assumption of zero K values in FREYA.
|
[
"nucl-th",
"nucl-ex",
"quant-ph"
] |
nucl-th
|
nucl-ex
|
Nuclear Theory;Nuclear Experiment;Quantum Physics
| 4,927Nuclear Theory;Nuclear Experiment;Quantum Physics
|
2105.03750
|
We present 87 candidates for RR Lyrae variable stars in binary systems, based
on our new search using the light-travel time effect (LTTE) and observed -
calculated ($O-C$) diagrams in the Galactic bulge time-series photometry of the
Optical Gravitational Lensing Experiment. Out of these, 61 are new candidates,
while 26 have been announced previously. Furthermore, 12 stars considered as
binary candidates in earlier works are discarded from the list, either as they
were found to have $O-C$ diagrams incompatible with the LTTE or because their
long-term periodicity is definitely caused by the Blazhko effect. This sample
of RR Lyrae binary candidates allows us to draw the first firm conclusions
about the population of such objects: no candidate has an orbital period below
1000 days, while their occurrence rate steadily increases with increasing
period, and peaks between 3000 and 4000 days; however, the decrease in the
number of stars toward even longer periods is probably the result of
observational biases. The eccentricities show a very significant concentration
between 0.25 and 0.3, with a quarter of candidates found in this single bin,
overlaid on an otherwise flat distribution between 0.05 and 0.6. Only six stars
have higher inferred eccentricities above 0.6. Lastly, the distribution of the
mass functions is highly peculiar, exhibiting strong trimodality. We interpret
these modes as the presence of three distinct groups of companions, with
typical inferred masses of $\sim0.6$, $\sim0.2$, and
$\sim0.067\,\mathrm{M}_\odot$, which can be associated with populations of
white dwarf and main sequence, red dwarf, and brown dwarf companions,
respectively.
|
[
"astro-ph.SR"
] |
astro-ph.SR
|
Solar and Stellar Astrophysics
| 6,668Solar and Stellar Astrophysics
|
|
1210.0198
|
Maximum likelihood estimation is a fundamental optimization problem in
statistics. We study this problem on manifolds of matrices with bounded rank.
These represent mixtures of distributions of two independent discrete random
variables. We determine the maximum likelihood degree for a range of
determinantal varieties, and we apply numerical algebraic geometry to compute
all critical points of their likelihood functions. This led to the discovery of
maximum likelihood duality between matrices of complementary ranks, a result
proved subsequently by Draisma and Rodriguez.
|
[
"math.AG",
"math.OC",
"stat.CO"
] |
math.AG
|
math.OC
|
Algebraic Geometry;Optimization and Control;Computation
| 7,267longtail
|
1604.07444
|
We propose and study a model for the interplay between two different
dynamical processes --one for opinion formation and the other for decision
making-- on two interconnected networks $A$ and $B$. The opinion dynamics on
network $A$ corresponds to that of the M-model, where the state of each agent
can take one of four possible values ($S=-2,-1,1,2$), describing its level of
agreement on a given issue. The likelihood to become an extremist ($S=\pm 2$)
or a moderate ($S=\pm 1$) is controlled by a reinforcement parameter $r \ge 0$.
The decision making dynamics on network $B$ is akin to that of the
Abrams-Strogatz model, where agents can be either in favor ($S=+1$) or against
($S=-1$) the issue. The probability that an agent changes its state is
proportional to the fraction of neighbors that hold the opposite state raised
to a power $\beta$. Starting from a polarized case scenario in which all agents
of network $A$ hold positive orientations while all agents of network $B$ have
a negative orientation, we explore the conditions under which one of the
dynamics prevails over the other, imposing its initial orientation. We find
that, for a given value of $\beta$, the two-network system reaches a consensus
in the positive state (initial state of network $A$) when the reinforcement
overcomes a crossover value $r^*(\beta)$, while a negative consensus happens
for $r<r^*(\beta)$. In the $r-\beta$ phase space, the system displays a
transition at a critical threshold $\beta_c$, from a coexistence of both
orientations for $\beta<\beta_c$ to a dominance of one orientation for
$\beta>\beta_c$. We develop an analytical mean-field approach that gives an
insight into these regimes and shows that both dynamics are equivalent along
the crossover line $(r^*,\beta^*)$.
|
[
"physics.soc-ph"
] |
physics.soc-ph
|
Physics and Society
| 5,463Physics and Society
|
|
hep-th/0012062
|
There appears to be three, perhaps related, ways of approaching the nature of
vacuum energy . The first is to say that it is just the lowest energy state of
a given, usually quantum, system. The second is to equate vacuum energy with
the Casimir energy. The third is to note that an energy difference from a
complete vacuum might have some long range effect, typically this energy
difference is interpreted as the cosmological constant. All three approaches
are reviewed, with an emphasis on recent work. It is hoped that this review is
comprehensive in scope. There is a discussion on whether there is a relation
between vacuum energy and inertia. The solution suggested here to the nature of
the vacuum is that Casimir energy can produce short range effects because of
boundary conditions, but that at long range there is no overall effect of
vacuum energy, unless one considers lagrangians of higher order than Einstein's
as vacuum induced. No original calculations are presented in support of this
position. This is not a review of the cosmological constant {\it per se}, but
rather vacuum energy in general, my approach to the cosmological constant is
not standard.
|
[
"hep-th",
"astro-ph",
"gr-qc"
] |
hep-th
|
astro-ph
|
High Energy Physics - Theory;Astrophysics;General Relativity and Quantum Cosmology
| 3,282High Energy Physics - Theory;Astrophysics;General Relativity and Quantum Cosmology
|
2108.10159
|
This paper summarizes some of the relevant features exhibited by bi-nary
mixtures of Bose-Einstein condensates in the presence of coherent coupling at
zero temperature. The coupling, which is experimentally produced by proper
photon transitions, can either involve negligible momentum transfer from the
electromagnetic radiation (Rabi coupling) or large momentum transfer (Raman
coupling) associated with spin-orbit effects.The nature of the quantum phases
exhibited by coherently coupled mixtures is discussed in detail, including
their paramagnetic, ferromagnetic, and, in the case of spin-orbit coupling,
supersolid phases.The behavior of the corresponding elementary excitations is
discussed, with explicit emphasis on the novel features caused by the spin-like
degree of freedom. Focus is further given to the topological excitations
(solitons, vortices) as well as to the superfluid properties. The paper also
points out relevant open questions which deserve more systematic theoretical
and experimental investigations.
|
[
"cond-mat.quant-gas"
] |
cond-mat.quant-gas
|
Quantum Gases
| 5,914Quantum Gases
|
|
1105.0698
|
The birthday paradox states that there is at least a 50% chance that some two
out of twenty-three randomly chosen people will share the same birth date. The
calculation for this problem assumes that all birth dates are equally likely.
We consider the following two modifications of this question. If the
distribution of birthdays is non-uniform, does that increase or decrease the
probability of matching birth dates? Further, what if we focus on birthdays
shared by some particular pairs rather than any two people. Does a non-uniform
distribution on birth dates increase or decrease the probability of a matching
pair? In this paper we present our results in this generalized setting. We use
some results and methods due to Sokal concerning bounds on the roots of
chromatic polynomials to prove our results.
|
[
"math.CO"
] |
math.CO
|
Combinatorics
| 1,014Combinatorics
|
|
1612.07623
|
The Lott-Sturm-Villani Curvature-Dimension condition provides a synthetic
notion for a metric-measure space to have Ricci-curvature bounded from below
and dimension bounded from above. We prove that it is enough to verify this
condition locally: an essentially non-branching metric-measure space
$(X,{\mathsf d},{\mathfrak m})$ (so that $(\text{supp} \; {\mathfrak
m},{\mathsf d})$ is a length-space and ${\mathfrak m}(X) < \infty$) verifying
the local Curvature-Dimension condition $\mathsf{CD}_{loc}(K,N)$ with
parameters $K \in \mathbb{R}$ and $N \in (1,\infty)$, also verifies the global
Curvature-Dimension condition $\mathsf{CD}(K,N)$. In other words, the
Curvature-Dimension condition enjoys the globalization (or local-to-global)
property, answering a question which had remained open since the beginning of
the theory.
For the proof, we establish an equivalence between $L^1$ and $L^2$
optimal-transport-based interpolation. The challenge is not merely a technical
one, and several new conceptual ingredients which are of independent interest
are developed: an explicit change-of-variables formula for densities of
Wasserstein geodesics depending on a second-order temporal derivative of
associated Kantorovich potentials; a surprising third-order theory for the
latter Kantorovich potentials, which holds in complete generality on any proper
geodesic space; and a certain rigidity property of the change-of-variables
formula, allowing us to bootstrap the a-priori available regularity. As a
consequence, numerous variants of the Curvature-Dimension condition proposed by
various authors throughout the years are shown to, in fact, all be equivalent
in the above setting, thereby unifying the theory.
|
[
"math.MG",
"math.FA"
] |
math.MG
|
math.FA
|
Metric Geometry;Functional Analysis
| 4,630Metric Geometry;Functional Analysis
|
2204.03554
|
Phase retrieval consists in the recovery of a complex-valued signal from
intensity-only measurements. As it pervades a broad variety of applications,
many researchers have striven to develop phase-retrieval algorithms. Classical
approaches involve techniques as varied as generic gradient-descent routines or
specialized spectral methods, to name a few. Yet, the phase-recovery problem
remains a challenge to this day. Recently, however, advances in machine
learning have revitalized the study of phase retrieval in two ways: significant
theoretical advances have emerged from the analogy between phase retrieval and
single-layer neural networks; practical breakthroughs have been obtained thanks
to deep-learning regularization. In this tutorial, we review phase retrieval
under a unifying framework that encompasses classical and machine-learning
methods. We focus on three key elements: applications, overview of recent
reconstruction algorithms, and the latest theoretical results.
|
[
"physics.optics"
] |
physics.optics
|
Optics
| 5,146Optics
|
|
astro-ph/0403005
|
This is the written version of an invited review talk for the 13 Feb 2004
AAAS Meeting in Seattle. The talk's goal is to present a philosophical view of
extragalactic astronomy as it applies to the sub-field of galaxy evolution. The
talk is divided into three parts: 1) How we got to where we are (technology
drivers to our science goals), 2) What's new and special (how that technology
has achieved our recent science results) and 3) How an improved worldview will
help us in the near future. The intended audience for this talk is a generally
knowledgeable scientist, but not an astronomer by training. This talk is also
not intended to be a complete review of the field of galaxy evolution and only
includes a few recent results extracted from the astro-ph archives to present
the current state of our field.
|
[
"astro-ph"
] |
astro-ph
|
Astrophysics
| 463Astrophysics
|
|
2308.11402
|
Resource allocation is of crucial importance in wireless communications.
However, it is extremely challenging to design efficient resource allocation
schemes for future wireless communication networks since the formulated
resource allocation problems are generally non-convex and consist of various
coupled variables. Moreover, the dynamic changes of practical wireless
communication environment and user service requirements thirst for efficient
real-time resource allocation. To tackle these issues, a novel partially
observable deep multi-agent active inference (PODMAI) framework is proposed for
realizing intelligent resource allocation. A belief based learning method is
exploited for updating the policy by minimizing the variational free energy. A
decentralized training with a decentralized execution multi-agent strategy is
designed to overcome the limitations of the partially observable state
information. Exploited the proposed framework, an intelligent spectrum
allocation and trajectory optimization scheme is developed for a spectrum
sharing unmanned aerial vehicle (UAV) network with dynamic transmission rate
requirements as an example. Simulation results demonstrate that our proposed
framework can significantly improve the sum transmission rate of the secondary
network compared to various benchmark schemes. Moreover, the convergence speed
of the proposed PODMAI is significantly improved compared with the conventional
reinforcement learning framework. Overall, our proposed framework can enrich
the intelligent resource allocation frameworks and pave the way for realizing
real-time resource allocation.
|
[
"eess.SY",
"cs.SY",
"eess.SP"
] |
eess.SY
|
cs.SY
|
Systems and Control;Systems and Control;Signal Processing
| 7,233Systems and Control;Systems and Control;Signal Processing
|
2302.03309
|
We investigate the stochastic dynamics of a thermal machine realized by a
fast-driven Otto cycle. By employing a stochastic approach, we find that system
coherences strongly affect fluctuations depending on the thermodynamic current.
Specifically, we observe an increment in the system instabilities when
considering the heat exchanged with the cold bath. On the contrary, the cycle
precision improves when the system couples with the hot bath, where
thermodynamic fluctuations reduce below the classical Thermodynamic Uncertainty
Relation bound. Violation of the classical bound holds even when a dephasing
source couples with the system. We also find that coherence suppression not
only restores the cycle cooling but also enhances the convergence of
fluctuation relations by increasing the entropy production of the reversed
process. An additional analysis unveiled that the stochastic sampling required
to ensure good statistics increases for the cooling cycle while downsizes for
the other protocols. Despite the simplicity of our model, our results provide
further insight into thermodynamic relations at the stochastic level.
|
[
"cond-mat.mes-hall",
"quant-ph"
] |
cond-mat.mes-hall
|
quant-ph
|
Mesoscale and Nanoscale Physics;Quantum Physics
| 4,536Mesoscale and Nanoscale Physics;Quantum Physics
|
1801.05213
|
We study spanning properties of a family of functions translated along simple
model sets. We characterize tight frame and dual frame generators for such
irregular translates and we apply the results to Gabor systems. We use the
connection between model sets and almost periodic functions and rely strongly
on a Poisson summations formula for model sets to introduce the so-called
bracket product, which then plays a crucial role in our approach. As a
corollary to our main results we obtain a density statement for semi-regular
Gabor frames.
|
[
"math.FA",
"math.OA"
] |
math.FA
|
math.OA
|
Functional Analysis;Operator Algebras
| 2,591Functional Analysis;Operator Algebras
|
1410.2621
|
The Poitou-Tate sequence relates Galois cohomology with restricted
ramification of a finite Galois module $M$ over a global field to that of the
dual module under the assumption that $\#M$ is a unit away from the allowed
ramification set. We remove the assumption on $\#M$ by proving a generalization
that allows arbitrary "ramification sets" that contain the archimedean places.
We also prove that restricted products of local cohomologies that appear in the
Poitou-Tate sequence may be identified with derived functor cohomology of an
adele ring. In our proof of the generalized sequence we adopt this derived
functor point of view and exploit properties of a natural topology carried by
cohomology of the adeles.
|
[
"math.NT"
] |
math.NT
|
Number Theory
| 4,945Number Theory
|
|
1703.05048
|
A set of lines through the origin is called equiangular if every pair of
lines defines the same angle, and the maximum size of an equiangular set of
lines in $\mathbb{R}^n$ was studied extensively for the last 70 years. In this
paper, we study analogous questions for $k$-dimensional subspaces. We discuss
natural ways of defining the angle between $k$-dimensional subspaces and
correspondingly study the maximum size of an equiangular set of $k$-dimensional
subspaces in $\mathbb{R}^n$. Our bounds extend and improve a result of
Blokhuis.
|
[
"math.CO"
] |
math.CO
|
Combinatorics
| 1,014Combinatorics
|
|
math/0702835
|
This paper presents a few additions to commutant lifting theory. An operator
interpolation problem is introduced and shown to be equivalent to the relaxed
commutant lifting problem. Using this connection a description of all solutions
of the former problem is given. Also a new application, involving bounded
operators induced by $H^2$ operator-valued functions, is presented.
|
[
"math.FA",
"math.OC"
] |
math.FA
|
math.OC
|
Functional Analysis;Optimization and Control
| 2,597Functional Analysis;Optimization and Control
|
1603.08871
|
While the galactic density wave theory is over 50 years old and well known in
science, whether it fits our own Milky Way disk has been difficult to say. Here
we show a substructure inside the spiral arms. This substructure is reversing
with respect to the Galactic Meridian (longitude zero), and crosscuts of the
arms at negative longitudes appear as mirror images of crosscuts of the arms at
positive longitudes. Four lanes are delineated: mid-arm (extended 12CO gas at
mid arm, HI atoms), in-between offset by about 100 pc (synchrotron, radio
recombination lines), in between offset by about 200 pc (masers, colder dust),
and inner edge (hotter dust seen in Mid-IR and Near-IR).
|
[
"astro-ph.GA"
] |
astro-ph.GA
|
Astrophysics of Galaxies
| 464Astrophysics of Galaxies
|
|
1403.5494
|
In this contribution to the Proceedings of the Conference on Analysis,
Complex Geometry, and Mathematical Physics, an expository overview of
superstring perturbation theory to two loop order is presented to an audience
of mathematicians and physicists. Recent results on perturbative supersymmetry
breaking effects in Heterotic string theory compactified on Z_2 \times Z_2
Calabi-Yau orbifolds, and the calculation of the two-loop vacuum energy in
these theories are discussed in detail, and the appearance of a new modular
identity with respect to Sp(4,Z)/Z_4 is reviewed.
|
[
"hep-th"
] |
hep-th
|
High Energy Physics - Theory
| 3,266High Energy Physics - Theory
|
|
1504.01402
|
Write A<=B if there is an injection from A to B, and A==B if there is a
bijection. We give a simple proof that for finite n, nA<=nB implies A<=B. From
the Cantor-Bernstein theorem it then follows that nA==nB implies A==B. These
results have a long and tangled history, of which this paper is meant to be the
culmination.
|
[
"math.LO",
"math.CO"
] |
math.LO
|
math.CO
|
Logic;Combinatorics
| 3,859Logic;Combinatorics
|
2005.09813
|
We observe high optical quality factor (Q) polygonal and star coherent
optical modes in a lithium niobate microdisk. In contrast to the previous
polygon modes achieved by deformed microcavities at lower mechanical and
optical Q, we adopted weak perturbation from a tapered fiber for the polygon
mode formation. The resulting high intracavity optical power of the polygon
modes triggers second harmonic generation at high efficiency. With the combined
advantage of high mechanical Q cavity optomechanical oscillation was observed
for the first time. Finally, we observe frequency microcomb generation from the
polygon modes with an ultra stable taper-on-disk coupling mechanism.
|
[
"physics.optics"
] |
physics.optics
|
Optics
| 5,146Optics
|
|
1806.08835
|
Acute respiratory infections have epidemic and pandemic potential and thus
are being studied worldwide, albeit in many different contexts and study
formats. Predicting infection from symptom data is critical, though using
symptom data from varied studies in aggregate is challenging because the data
is collected in different ways. Accordingly, different symptom profiles could
be more predictive in certain studies, or even symptoms of the same name could
have different meanings in different contexts. We assess state-of-the-art
transfer learning methods for improving prediction of infection from symptom
data in multiple types of health care data ranging from clinical, to home-visit
as well as crowdsourced studies. We show interesting characteristics regarding
six different study types and their feature domains. Further, we demonstrate
that it is possible to use data collected from one study to predict infection
in another, at close to or better than using a single dataset for prediction on
itself. We also investigate in which conditions specific transfer learning and
domain adaptation methods may perform better on symptom data. This work has the
potential for broad applicability as we show how it is possible to transfer
learning from one public health study design to another, and data collected
from one study may be used for prediction of labels for another, even collected
through different study designs, populations and contexts.
|
[
"cs.LG",
"q-bio.PE",
"q-bio.QM",
"stat.ML"
] |
cs.LG
|
q-bio.PE
|
Machine Learning;Populations and Evolution;Quantitative Methods;Machine Learning
| 7,267longtail
|
2203.05851
|
In order to understand the evolution and feedback of Active Galactic Nuclei
(AGN) and star formation it is important to use molecular lines as probes of
physical conditions and chemistry. We use H$_{2}$S to investigate the impact of
starburst and AGN activity on the chemistry of the molecular interstellar
medium in luminous infrared galaxies. Using the APEX single dish telescope, we
have observed the $1_{10}$--$1_{01}$ transition of ortho-H$_{2}$S at 168 GHz
towards the centres of twelve nearby luminous infrared galaxies. We have also
observed the same line towards the ultra luminous infrared galaxy (ULIRG)
Mrk~231 with the NOEMA interferometer. We have detected H$_{2}$S towards
NGC~253, NGC~1068, NGC~3256, NGC~4418, NGC~4826, NGC~4945, Circinus, M~83 and
Mrk~231. Four galaxies show elevated H$_{2}$S emission relative to HCN. We
suggest that the high line ratios are caused by elevated H$_{2}$S abundances in
the dense gas. However, we do not find any clear connection between the
H$_{2}$S/HCN line intensity ratio, and the presence (or speed) of molecular
outflows in the sample galaxies. Therefore H$_{2}$S abundances do not seem to
be globally affected by the large-scale outflows. We discuss possible
mechanisms behind the suggested H$_{2}$S abundance enhancements in NGC~4418,
Circinus, NGC~3256 and NGC~4826. These include radiative processes (for example
X-rays or cosmic-rays) or smaller scale shocks. We suggest that
$L_{\mathrm{H_{2}S}}$ serves as a tracer of the dense gas content, similar to
$L_{\mathrm{HCN}}$, and that the correlation between $L_{\mathrm{H_{2}S}}$ and
$M_{\rm outflow}$(H$_2$) implies a relation between the dense gas reservoir and
the properties and evolution of the molecular feedback. This potential link
requires further study since it holds important keys to our understanding of
how the properties of molecular outflows relate to that of their host galaxies.
|
[
"astro-ph.GA"
] |
astro-ph.GA
|
Astrophysics of Galaxies
| 464Astrophysics of Galaxies
|
|
1811.03677
|
We investigate the phase behavior of colloidal suspensions of board-like
particles under the effect of an external field and assess the still disputed
occurrence of the biaxial nematic (N$_\text{B}$) liquid crystal phase. The
external field promotes the rearrangement of the initial isotropic (I) or
uniaxial nematic (N$_\text{U}$) phase and the formation of the N$_\text{B}$
phase. In particular, very weak field strengths are sufficient to spark a
direct I-N$_\text{B}$ or N$_\text{U}$-N$_\text{B}$ phase transition at the
self-dual shape, where prolate and oblate particle geometries fuse into one. By
contrast, forming the N$_\text{B}$ phase at any other geometry requires
stronger fields and thus reduces the energy efficiency of the phase
transformation. Our simulation results show that self-dual shaped board-like
particles with moderate anisotropy are able to form N$_\text{B}$ liquid
crystals under the effect of a surprisingly weak external stimulus and suggest
a path to exploit low-energy uniaxial-to-biaxial order switching.
|
[
"cond-mat.soft",
"physics.chem-ph"
] |
cond-mat.soft
|
physics.chem-ph
|
Soft Condensed Matter;Chemical Physics
| 6,558Soft Condensed Matter;Chemical Physics
|
1510.06336
|
We consider the problem of retrieving a reliable estimate of an attribute
monitored by a wireless sensor network, where the sensors harvest energy from
the environment independently, at random. Each sensor stores the harvested
energy in batteries of limited capacity. Moreover, provided they have
sufficient energy, the sensors broadcast their measurements in a decentralized
fashion. Clients arrive at the sensor network according to a Poisson process
and are interested in retrieving a fixed number of sensor measurements, based
on which a reliable estimate is computed. We show that the time until an
arbitrary sensor broadcasts has a phase-type distribution. Based on this result
and the theory of order statistics of phase-type distributions, we determine
the probability distribution of the time needed for a client to retrieve a
reliable estimate of an attribute monitored by the sensor network. We also
provide closed-form expression for the retrieval time of a reliable estimate
when the capacity of the sensor battery or the rate at which energy is
harvested is asymptotically large. In addition, we analyze numerically the
retrieval time of a reliable estimate for various sizes of the sensor network,
maximum capacity of the sensor batteries and rate at which energy is harvested.
These results show that the energy harvesting rate and the broadcasting rate
are the main parameters that influence the retrieval time of a reliable
estimate, while deploying sensors with large batteries does not significantly
reduce the retrieval time.
|
[
"cs.SY",
"cs.NI",
"math.PR"
] |
cs.SY
|
cs.NI
|
Systems and Control;Networking and Internet Architecture;Probability
| 7,267longtail
|
2308.14357
|
In this paper, we develop a geometric framework for generating non-slip
quadrupedal two-beat gaits. We consider a four-bar mechanism as a surrogate
model for a contact state and develop the geometric tools such as shape-change
basis to aid in gait generation, local connection as the matrix-equation of
motion, and stratified panels to model net locomotion in line with previous
work\cite{prasad2023contactswitch}. Standard two-beat gaits in quadrupedal
systems like trot divide the shape space into two equal, decoupled subspaces.
The subgaits generated in each subspace space are designed independently and
when combined with appropriate phasing generate a two-beat gait where the
displacements add up due to the geometric nature of the system. By adding
``scaling" and ``sliding" control knobs to subgaits defined as flows over the
shape-change basis, we continuously steer an arbitrary, planar quadrupedal
system. This exhibits translational anisotropy when modulated using the scaling
inputs. To characterize the steering induced by sliding inputs, we define an
average path curvature function analytically and show that the steering gaits
can be generated using a geometric nonslip contact modeling framework.
|
[
"cs.RO",
"cs.SY",
"eess.SY"
] |
cs.RO
|
cs.SY
|
Robotics;Systems and Control;Systems and Control
| 6,400Robotics;Systems and Control;Systems and Control
|
1506.08642
|
Galactic Archeology is about exploring the Milky Way as a galaxy by, mainly,
using its (old) stars as tracers of past events and thus figure out the
formation and evolution of our Galaxy. I will briefly outline some of the key
scientific aspects of Galactic Archeology and then discuss the associated
instrumentations. Gaia will forever change the way we approach this subject.
However, Gaia on its own is not enough. Ground-based complementary spectroscopy
is necessary to obtain full phase-space information and elemental abundances
for stars fainter than the top few percent of the bright part of the Gaia
catalogue. I will review the requirement on instrumentation for Gaia follow-up
that Galactic Archeology sets. In particular, I will discuss the requirements
on radial velocity and elemental abundance determination, including a brief
look at potential pit-falls in the abundance analysis (e.g., NLTE, atomic
diffusion). This contribution also provides a non-exhaustive comparison of the
various current and future spectrographs for Galactic Archeology. Finally, I
will discuss the needs for astrophysical calibrations for the surveys and
inter-survey calibrations.
|
[
"astro-ph.IM",
"astro-ph.SR"
] |
astro-ph.IM
|
astro-ph.SR
|
Instrumentation and Methods for Astrophysics;Solar and Stellar Astrophysics
| 3,768Instrumentation and Methods for Astrophysics;Solar and Stellar Astrophysics
|
1306.0604
|
This paper provides new algorithms for distributed clustering for two popular
center-based objectives, k-median and k-means. These algorithms have provable
guarantees and improve communication complexity over existing approaches.
Following a classic approach in clustering by \cite{har2004coresets}, we reduce
the problem of finding a clustering with low cost to the problem of finding a
coreset of small size. We provide a distributed method for constructing a
global coreset which improves over the previous methods by reducing the
communication complexity, and which works over general communication
topologies. Experimental results on large scale data sets show that this
approach outperforms other coreset-based distributed clustering algorithms.
|
[
"cs.LG",
"cs.DC",
"stat.ML"
] |
cs.LG
|
cs.DC
|
Machine Learning;Distributed, Parallel, and Cluster Computing;Machine Learning
| 4,117Machine Learning;Distributed, Parallel, and Cluster Computing;Machine Learning
|
1106.1551
|
Let A be a C*-algebra with real rank zero which has the stable weak
cancellation property. Let I be an ideal of A such that I is stable and
satisfies the corona factorization property. We prove that 0->I->A->A/I->0 is a
full extension if and only if the extension is stenotic and K-lexicographic. As
an immediate application, we extend the classification result for graph
C*-algebras obtained by Tomforde and the first named author to the general
non-unital case. In combination with recent results by Katsura, Tomforde, West
and the first author, our result may also be used to give a purely
K-theoretical description of when an essential extension of two simple and
stable graph C*-algebras is again a graph C*-algebra.
|
[
"math.OA"
] |
math.OA
|
Operator Algebras
| 5,107Operator Algebras
|
|
astro-ph/0106321
|
The combination of the unprecedented spatial resolution attainable with WFPC2
on board HST and of the large collecting area of the VLT makes it possible to
study in detail the low mass pre-Main Sequence stars in galaxies other than our
own.
Here we present the results of our studies of two star forming environments
in our closest galactic neighbor, the Large Magellanic Cloud: the region around
Supernova 1987A and the double cluster NGC 1850.
|
[
"astro-ph"
] |
astro-ph
|
Astrophysics
| 463Astrophysics
|
|
1611.03519
|
Tantalum, tantalum oxide and their hetero-interfaces are of tremendous
technological interest in several applications spanning electronics, thermal
management, catalysis and biochemistry. For example, local oxygen stoichiometry
variation in TaOx memristors comprising of metallic (Ta) and insulating oxide
(Ta2O5) have been shown to result in fast switching on the sub-nanosecond
timescale over a billion cycles, relevant to neuromorphic computation. Despite
its broad importance, an atomistic scale understanding of oxygen stoichiometry
variation across Ta/TaOx hetero-interfaces, such as during early stages of
oxidation and oxide growth, is not well understood. This is mainly due to the
lack of a variable charge interatomic potential model for tantalum oxides that
can accurately describe the ionic interactions in the metallic (Ta) and oxide
(TaOx) environment as well as at their interfaces. To address this challenge,
we introduce a charge transfer ionic potential (CTIP) model for Ta/Ta-oxide
system by training against lattice parameters, cohesive energies, equations of
state, and elastic properties of various experimentally observed Ta2O5
polymorphs. The best set of CTIP parameters are determined by employing a
single-objective global optimization scheme driven by genetic algorithms
followed by local Simplex optimization. Our newly developed CTIP potential
accurately predicts structure, thermodynamics, energetic ordering of
polymorphs, as well as elastic and surface properties of both Ta and Ta2O5, in
excellent agreement with DFT calculations and experiments. We employ our newly
parameterized CTIP potential to investigate the early stages of oxidation of Ta
at different temperatures and atomic/molecular nature of the oxidizing species.
|
[
"cond-mat.mtrl-sci"
] |
cond-mat.mtrl-sci
|
Materials Science
| 4,287Materials Science
|
|
2101.01085
|
The financial and economic crisis recently experienced by many European
countries has increased demand for timely, coherent and consistent
distributional information for the household sector. In the Euro area, most of
the NCBs collect such information through income and wealth surveys, which are
often used to inform their decisions. These surveys, however, can often suffer
from biases, usually caused by non-response and under-reporting behaviours,
leading to a mismatch with macroeconomic aggregates. In this paper, we develop
a novel allocation method which combines information from a power law (Pareto)
model and imputation procedures so to address these issues simultaneously, when
only limited external information is available. We provide two important
contributions: first, we adjust the weights of observed survey households for
non-response bias, then, we correct for measurement error. Finally, we produce
distributional indicators for four Euro-Area countries.
|
[
"econ.GN",
"q-fin.EC",
"stat.ME"
] |
econ.GN
|
q-fin.EC
|
General Economics;Economics;Methodology
| 2,611General Economics;Economics;Methodology
|
1605.07819
|
WPA2-Personal is widely used to protect Wi-Fi networks against illicit
access. While attackers typically use GPUs to speed up the discovery of weak
network passwords, attacking random passwords is considered to quickly become
infeasible with increasing password length. Professional attackers may thus
turn to commercial high-end FPGA-based cluster solutions to significantly
increase the speed of those attacks. Well known manufacturers such as Elcomsoft
have succeeded in creating world's fastest commercial FPGA-based WPA2 password
recovery system, but since they rely on high-performance FPGAs the costs of
these systems are well beyond the reach of amateurs. In this paper, we present
a highly optimized low-cost FPGA cluster-based WPA-2 Personal password recovery
system that can not only achieve similar performance at a cost affordable by
amateurs, but in comparison our implementation would also be more than 5 times
as fast on the original hardware. Since the currently fastest system is not
only significantly slower but proprietary as well, we believe that we are the
first to present the internals of a highly optimized and fully pipelined FPGA
WPA2 password recovery system. In addition, we evaluated our approach with
respect to performance and power usage and compare it to GPU-based systems. To
assess the real-world impact of our system, we utilized the well known Wigle
Wi-Fi network dataset to conduct a case study within the country and its border
regions. Our results indicate that our system could be used to break into each
of more than 160,000 existing Wi-Fi networks requiring 3 days per network on
our low-cost FPGA cluster in the worst case.
|
[
"cs.CR"
] |
cs.CR
|
Cryptography and Security
| 1,782Cryptography and Security
|
|
quant-ph/0104049
|
In the recent physics literature there have appeared contradictory statements
concerning the behaviour of scattering solutions of the 3-dimensional
Schroedinger equation at large times. We clarify the situation and point out
that the issue was rigorously resolved in the mathematics literature.
|
[
"quant-ph"
] |
quant-ph
|
Quantum Physics
| 5,985Quantum Physics
|
|
2010.08177
|
To efficiently solve online problems with complicated constraints,
projection-free algorithms including online frank-wolfe (OFW) and its variants
have received significant interest recently. However, in the general case,
existing projection-free algorithms only achieved the regret bound of
$O(T^{3/4})$, which is worse than the regret of projection-based algorithms,
where $T$ is the number of decision rounds. In this paper, we study the special
case of online learning over strongly convex sets, for which we first prove
that OFW enjoys a better regret bound of $O(T^{2/3})$ for general convex
losses. The key idea is to refine the decaying step-size in the original OFW by
a simple line search rule. Furthermore, for strongly convex losses, we propose
a strongly convex variant of OFW by redefining the surrogate loss function in
OFW. We show that it achieves a regret bound of $O(T^{2/3})$ over general
convex sets and a better regret bound of $O(\sqrt{T})$ over strongly convex
sets.
|
[
"cs.LG",
"math.OC"
] |
cs.LG
|
math.OC
|
Machine Learning;Optimization and Control
| 4,235Machine Learning;Optimization and Control
|
2005.09667
|
We measure the effective opacity ($\tau_{eff}$) of the Intergalactic Medium
(IGM) from the composite spectra of 281 Lyman-Break Galaxies (LBGs) in the
redshift range $2 \lesssim z \lesssim 3$. Our spectra are taken from the COSMOS
Lyman-Alpha Mapping And Tomographic Observations (CLAMATO) survey derived from
the Low Resolution Imaging Spectrometer (LRIS) on the W.M. Keck I telescope. We
generate composite spectra in two redshift intervals and fit them with spectral
energy distribution (SED) models composed of simple stellar populations.
Extrapolating these SED models into the Ly$\alpha$ forest, we measure the
effective Ly$\alpha$ opacity ($\tau_{eff}$) in the $2.02 \leq z \leq 2.44$
range. At $z = 2.22$, we estimate $\tau_{eff} = 0.159 \pm 0.001$ from a
power-law fit to the data. These measurements are consistent with estimates
from quasar analyses at $z<2.5$ indicating that the systematic errors
associated with normalizing quasar continua are not substantial. We provide a
Gaussian Processes model of our results and previous $\tau_{eff}$ measurements
that describes the steep redshift evolution in $\tau_{eff}$ from $z = 1.5 - 4$.
|
[
"astro-ph.CO"
] |
astro-ph.CO
|
Cosmology and Nongalactic Astrophysics
| 1,725Cosmology and Nongalactic Astrophysics
|
|
0811.1221
|
The classical asymptotic equipartition property is the statement that, in the
limit of a large number of identical repetitions of a random experiment, the
output sequence is virtually certain to come from the typical set, each member
of which is almost equally likely. In this paper, we prove a fully quantum
generalization of this property, where both the output of the experiment and
side information are quantum. We give an explicit bound on the convergence,
which is independent of the dimensionality of the side information. This
naturally leads to a family of Renyi-like quantum conditional entropies, for
which the von Neumann entropy emerges as a special case.
|
[
"quant-ph"
] |
quant-ph
|
Quantum Physics
| 5,985Quantum Physics
|
|
2302.13924
|
Quasisymmetry (QS) is a hidden symmetry of the magnetic field strength, B,
that confines charged particles effectively in a nonsymmetric toroidal plasma
equilibrium. Recent numerical breakthroughs have shown that excellent QS can be
realized in a toroidal volume. Here, we show that the hidden symmetry of QS has
a deep connection to the underlying symmetry that makes solitons possible. In
particular, we demonstrate that a class of quasisymmetric B is described by a
periodic finite-gap soliton potential of the well-known Korteweg-de Vries (KdV)
equation. Our exact and non-perturbative method drastically reduces the number
of independent B parameters on a magnetic flux surface to just three, which
could make stellarator optimization schemes significantly more efficient.
Furthermore, we deduce an upper bound on the maximum toroidal volume that can
be quasisymmetric. In the neighborhood of the outermost surface, B approaches
the form of the 1-soliton reflectionless potential.
|
[
"physics.plasm-ph"
] |
physics.plasm-ph
|
Plasma Physics
| 5,556Plasma Physics
|
|
physics/0702150
|
Some works have appeared in recent accredited literature considering the
possibility of macroscopic violations of the second law in simulated as well as
really executed experiments. We argue the inexistence of such violations in
experiments based on the so-called nonbias diode, demonstrating that the
interpretation of the authors is flawed by a confusion between the concepts of
thermal equilibrium and thermodynamic equilibrium. We also discuss an
isomorphic experimental set up based on the evaporation-condensation of a
liquid in a closed atmosphere. Some critical observations are then made
concerning recent attempts to reformulate classical equilibrium thermodynamics.
|
[
"physics.gen-ph",
"physics.class-ph"
] |
physics.gen-ph
|
physics.class-ph
|
General Physics;Classical Physics
| 2,651General Physics;Classical Physics
|
cond-mat/9908286
|
We analyze the microscopic evolution of a system undergoing a
far-from-equilibrium thermodynamic process. Explicitly accounting for the
degrees of freedom of participating heat reservoirs, we derive a hybrid result,
similar in form to both the fluctuation theorem, and a statement of detailed
balance. We relate this result to the steady-state fluctuation theorem, and to
a free energy relation valid far from equilibrium.
|
[
"cond-mat.stat-mech"
] |
cond-mat.stat-mech
|
Statistical Mechanics
| 6,821Statistical Mechanics
|
|
gr-qc/0002016
|
By the method of rho-integration we obtain all Lanczos potentials L_{ABCA'}
of the Weyl spinor that, in a certain sense, are aligned to a geodesic
shear-free expanding null congruence. We also obtain all spinors
H_{ABA'B'}=Q_{AB}o_{A'}o_{B'}, Q_{AB}=Q_{(AB)} satisfying
nabla_{(A}{}^{B'}H_{BC)A'B'}=L_{ABCA'}. We go on to prove that H_{ABA'B'} can
be chosen so that Gamma_{ABCA'}=nabla_{(A}{}^{B'} H_{B)CA'B'} defines a metric
asymmetric curvature-free connection such that L_{ABCA'}=Gamma_{(ABC)A'} is a
Lanczos potential that is aligned to the geodesic shear-free expanding
congruence. These results are a generalization to a large class of
algebraically special spacetimes (including all vacuum ones for which the
principal null direction is expanding) of the curvature-free connection of the
Kerr spacetime found by Bergqvist and Ludvigsen, which was used in a
construction of quasi-local momentum.
|
[
"gr-qc"
] |
gr-qc
|
General Relativity and Quantum Cosmology
| 2,674General Relativity and Quantum Cosmology
|
|
1303.2713
|
We consider a one-dimensional Bose-Einstein condensate in a infinite
square-well (box) potential. This is a nonlinear control system in which the
state is the wave function of the Bose Einstein condensate and the control is
the length of the box. We prove that local exact controllability around the
ground state (associated with a fixed length of the box) holds generically with
respect to the chemical potential \mu; i.e. up to an at most countable set of
\mu-values. The proof relies on the linearization principle and the inverse
mapping theorem, as well as ideas from analytic perturbation theory.
|
[
"math.OC",
"math.AP"
] |
math.OC
|
math.AP
|
Optimization and Control;Analysis of PDEs
| 5,237Optimization and Control;Analysis of PDEs
|
2309.05679
|
While enjoying the great achievements brought by deep learning (DL), people
are also worried about the decision made by DL models, since the high degree of
non-linearity of DL models makes the decision extremely difficult to
understand. Consequently, attacks such as adversarial attacks are easy to carry
out, but difficult to detect and explain, which has led to a boom in the
research on local explanation methods for explaining model decisions. In this
paper, we evaluate the faithfulness of explanation methods and find that
traditional tests on faithfulness encounter the random dominance problem, \ie,
the random selection performs the best, especially for complex data. To further
solve this problem, we propose three trend-based faithfulness tests and
empirically demonstrate that the new trend tests can better assess faithfulness
than traditional tests on image, natural language and security tasks. We
implement the assessment system and evaluate ten popular explanation methods.
Benefiting from the trend tests, we successfully assess the explanation methods
on complex data for the first time, bringing unprecedented discoveries and
inspiring future research. Downstream tasks also greatly benefit from the
tests. For example, model debugging equipped with faithful explanation methods
performs much better for detecting and correcting accuracy and security
problems.
|
[
"cs.LG",
"cs.AI",
"cs.CR"
] |
cs.LG
|
cs.AI
|
Machine Learning;Artificial Intelligence;Cryptography and Security
| 3,927Machine Learning;Artificial Intelligence;Cryptography and Security
|
2306.02038
|
Responding to the increasing need for automated writing evaluation (AWE)
systems to assess language use beyond lexis and grammar (Burstein et al.,
2016), we introduce a new approach to identify rhetorical features of stance in
academic English writing. Drawing on the discourse-analytic framework of
engagement in the Appraisal analysis (Martin & White, 2005), we manually
annotated 4,688 sentences (126,411 tokens) for eight rhetorical stance
categories (e.g., PROCLAIM, ATTRIBUTION) and additional discourse elements. We
then report an experiment to train machine learning models to identify and
categorize the spans of these stance expressions. The best-performing model
(RoBERTa + LSTM) achieved macro-averaged F1 of .7208 in the span identification
of stance-taking expressions, slightly outperforming the intercoder reliability
estimates before adjudication (F1 = .6629).
|
[
"cs.CL",
"cs.AI",
"cs.LG"
] |
cs.CL
|
cs.AI
|
Computation and Language;Artificial Intelligence;Machine Learning
| 1,190Computation and Language;Artificial Intelligence;Machine Learning
|
0704.2236
|
New measures of multipartite entanglement are constructed based on two
definitions of multipartite information and different methods of optimizing
over extensions of the states. One is a generalization of the squashed
entanglement where one takes the mutual information of parties conditioned on
the state's extension and takes the infimum over such extensions. Additivity of
the multipartite squashed entanglement is proved for both versions of the
multipartite information which turn out to be related. The second one is based
on taking classical extensions. This scheme is generalized, which enables to
construct measures of entanglement based on the {\it mixed convex roof} of a
quantity, which in contrast to the standard convex roof method involves
optimization over all decompositions of a density matrix rather than just the
decompositions into pure states. As one of the possible applications of these
results we prove that any multipartite monotone is an upper bound on the amount
of multipartite distillable key. The findings are finally related to analogous
results in classical key agreement.
|
[
"quant-ph"
] |
quant-ph
|
Quantum Physics
| 5,985Quantum Physics
|
|
math/0412188
|
In this paper a general class of tree algorithms is analyzed. It is shown
that, by using an appropriate probabilistic representation of the quantities of
interest, the asymptotic behavior of these algorithms can be obtained quite
easily without resorting to the usual complex analysis techniques. This
approach gives a unified probabilistic treatment of these questions. It
simplifies and extends some of the results known in this domain.
|
[
"math.PR"
] |
math.PR
|
Probability
| 5,709Probability
|
|
1703.04322
|
We present the results from a systematic analysis of the X-ray continuum
(`hard') time-lags and intrinsic coherence between the $2-4\,\mathrm{keV}$ and
various energy bands in the $0.3-10\,\mathrm{keV}$ range, for ten X-ray bright
and highly variable active galactic nuclei (AGN). We used all available
archival \textit{XMM-Newton} data, and estimated the time-lags following
Epitropakis \& Papadakis (2016). By performing extensive numerical simulations,
we arrived at useful guidelines for computing intrinsic coherence estimates
that are minimally biased, have known errors, and are (approximately) Gaussian
distributed. Owing to the way we estimated the time-lags and intrinsic
coherence, we were able to do a proper model fitting to the data. Regarding the
continuum time-lags, we are able to demonstrate that they have a power-law
dependence on frequency, with a slope of $-1$, and that their amplitude scales
with the logarithm of the light-curve mean-energy ratio. We also find that
their amplitude increases with the square root of the X-ray Eddington ratio.
Regarding the intrinsic coherence, we found that it is approximately constant
at low frequencies. It then decreases exponentially at frequencies higher than
a characteristic `break frequency.' Both the low-frequency constant
intrinsic-coherence value and the break frequency have a logarithmic dependence
on the light-curve mean-energy ratio. Neither the low-frequency constant
intrinsic-coherence value, nor the break frequency exhibit a universal scaling
with either the central black hole mass, or the the X-ray Eddington ratio. Our
results could constrain various theoretical models of AGN X-ray variability.
|
[
"astro-ph.HE"
] |
astro-ph.HE
|
High Energy Astrophysical Phenomena
| 2,990High Energy Astrophysical Phenomena
|
|
1408.5148
|
Closed quantum many-body systems out of equilibrium pose several
long-standing problems in physics. Recent years have seen a tremendous progress
in approaching these questions, not least due to experiments with cold atoms
and trapped ions in instances of quantum simulations. This article provides an
overview on the progress in understanding dynamical equilibration and
thermalisation of closed quantum many-body systems out of equilibrium due to
quenches, ramps and periodic driving. It also addresses topics such as the
eigenstate thermalisation hypothesis, typicality, transport, many-body
localisation, universality near phase transitions, and prospects for quantum
simulations.
|
[
"quant-ph",
"cond-mat.quant-gas",
"cond-mat.stat-mech"
] |
quant-ph
|
cond-mat.quant-gas
|
Quantum Physics;Quantum Gases;Statistical Mechanics
| 6,177Quantum Physics;Quantum Gases;Statistical Mechanics
|
2212.00992
|
The problem of covariate-shift generalization has attracted intensive
research attention. Previous stable learning algorithms employ sample
reweighting schemes to decorrelate the covariates when there is no explicit
domain information about training data. However, with finite samples, it is
difficult to achieve the desirable weights that ensure perfect independence to
get rid of the unstable variables. Besides, decorrelating within stable
variables may bring about high variance of learned models because of the
over-reduced effective sample size. A tremendous sample size is required for
these algorithms to work. In this paper, with theoretical justification, we
propose SVI (Sparse Variable Independence) for the covariate-shift
generalization problem. We introduce sparsity constraint to compensate for the
imperfectness of sample reweighting under the finite-sample setting in previous
methods. Furthermore, we organically combine independence-based sample
reweighting and sparsity-based variable selection in an iterative way to avoid
decorrelating within stable variables, increasing the effective sample size to
alleviate variance inflation. Experiments on both synthetic and real-world
datasets demonstrate the improvement of covariate-shift generalization
performance brought by SVI.
|
[
"cs.LG",
"stat.ML"
] |
cs.LG
|
stat.ML
|
Machine Learning;Machine Learning
| 4,163Machine Learning;Machine Learning
|
astro-ph/0603082
|
Cool giant and supergiant stars generally present low velocity winds with
high mass loss rates. Several models have been proposed to explain the
acceleration process of these winds. Although dust is known to be present in
these objects, the radiation pressure on these particles is uneffective in
reproducing the observed physical parameters of the wind. The most promising
acceleration mechanism cited in the literature is the transference of momentum
and energy from Alfven waves to the gas. Usually, these models consider the
wind to be isothermal. We present a stellar wind model in which the Alfven
waves are used as the main acceleration mechanism, and determine the
temperature profile by solving the energy equation taking into account both the
radiative losses and the wave heating. We also determine self-consistently the
magnetic field geometry as the result of the competition between the magnetic
field and the thermal pressures gradient. As main result, we show that the
magnetic geometry present a super-radial index in the region where the gas
pressure is increasing. However, this super-radial index is greater than that
observed for the solar corona.
|
[
"astro-ph"
] |
astro-ph
|
Astrophysics
| 463Astrophysics
|
|
hep-th/0504232
|
We consider the E8 x E8 heterotic string theory compactified on Calabi-Yau
manifolds with bundles containing abelian factors in their structure group.
Generic low energy consequences such as the generalised Green-Schwarz mechanism
for the multiple anomalous abelian gauge groups are studied. We also compute
the holomorphic gauge couplings and induced Fayet-Iliopoulos terms up to
one-loop order, where the latter are interpreted as stringy one-loop
corrections to the Donaldson-Uhlenbeck-Yau condition. Such models generically
have frozen combinations of Kaehler and dilaton moduli. We study concrete
bundles with structure group SU(N) x U(1)^M yielding quasi-realistic gauge
groups with chiral matter given by certain bundle cohomology classes. We also
provide a number of explicit tadpole free examples of bundles defined by exact
sequences of sums of line bundles over complete intersection Calabi-Yau spaces.
This includes one example with precisely the Standard Model gauge symmetry.
|
[
"hep-th"
] |
hep-th
|
High Energy Physics - Theory
| 3,266High Energy Physics - Theory
|
|
1408.4027
|
Recent theoretical work on time-periodically kicked Hofstadter model found
robust counter-propagating edge modes. It remains unclear how ubiquitously such
anomalous modes can appear, and what dictates their robustness against
disorder. Here we shed further light on the nature of these modes by analyzing
a simple type of periodic driving where the hopping along one spatial direction
is modulated sinusoidally with time while the hopping along the other spatial
direction is kept constant. We obtain the phase diagram for the quasienergy
spectrum at flux 1/3 as the driving frequency $\omega$ and the hopping
anisotropy are varied. A series of topologically distinct phases with
counter-propagating edge modes appear due to the harmonic driving, similar to
the case of a periodically kicked system studied earlier. We analyze the time
dependence of the pair of Floquet edge states localized at the same edge, and
compare their Fourier components in the frequency domain. In the limit of small
modulation, one of the Floquet edge mode within the pair can be viewed as the
edge mode originally living in the other energy gap shifted in quasienergy by
$\hbar \omega$, i.e., by absorption or emission of a "photon" of frequency
$\omega$. Our result suggests that counter-propagating Floquet edge modes are
generic features of periodically driven integer quantum Hall systems, and not
tied to any particular driving protocol. It also suggests that the Floquet edge
modes would remain robust to any static perturbations that do not destroy the
chiral edge modes of static quantum Hall states.
|
[
"cond-mat.quant-gas",
"cond-mat.mes-hall",
"quant-ph"
] |
cond-mat.quant-gas
|
cond-mat.mes-hall
|
Quantum Gases;Mesoscale and Nanoscale Physics;Quantum Physics
| 5,949Quantum Gases;Mesoscale and Nanoscale Physics;Quantum Physics
|
1904.04751
|
We propose a novel multi-texture synthesis model based on generative
adversarial networks (GANs) with a user-controllable mechanism. The user
control ability allows to explicitly specify the texture which should be
generated by the model. This property follows from using an encoder part which
learns a latent representation for each texture from the dataset. To ensure a
dataset coverage, we use an adversarial loss function that penalizes for
incorrect reproductions of a given texture. In experiments, we show that our
model can learn descriptive texture manifolds for large datasets and from raw
data such as a collection of high-resolution photos. Moreover, we apply our
method to produce 3D textures and show that it outperforms existing baselines.
|
[
"cs.CV",
"cs.LG",
"stat.ML"
] |
cs.CV
|
cs.LG
|
Computer Vision and Pattern Recognition;Machine Learning;Machine Learning
| 1,601Computer Vision and Pattern Recognition;Machine Learning;Machine Learning
|
2212.13676
|
In this paper, we present the Circular Accessible Depth (CAD), a robust
traversability representation for an unmanned ground vehicle (UGV) to learn
traversability in various scenarios containing irregular obstacles. To predict
CAD, we propose a neural network, namely CADNet, with an attention-based
multi-frame point cloud fusion module, Stability-Attention Module (SAM), to
encode the spatial features from point clouds captured by LiDAR. CAD is
designed based on the polar coordinate system and focuses on predicting the
border of traversable area. Since it encodes the spatial information of the
surrounding environment, which enables a semi-supervised learning for the
CADNet, and thus desirably avoids annotating a large amount of data. Extensive
experiments demonstrate that CAD outperforms baselines in terms of robustness
and precision. We also implement our method on a real UGV and show that it
performs well in real-world scenarios.
|
[
"cs.RO",
"cs.CV"
] |
cs.RO
|
cs.CV
|
Robotics;Computer Vision and Pattern Recognition
| 6,356Robotics;Computer Vision and Pattern Recognition
|
2203.16392
|
Most current approaches to undersampled multi-coil MRI reconstruction focus
on learning the reconstruction model for a fixed, equidistant acquisition
trajectory. In this paper, we study the problem of joint learning of the
reconstruction model together with acquisition policies. To this end, we extend
the End-to-End Variational Network with learnable acquisition policies that can
adapt to different data points. We validate our model on a coil-compressed
version of the large scale undersampled multi-coil fastMRI dataset using two
undersampling factors: $4\times$ and $8\times$. Our experiments show on-par
performance with the learnable non-adaptive and handcrafted equidistant
strategies at $4\times$, and an observed improvement of more than $2\%$ in SSIM
at $8\times$ acceleration, suggesting that potentially-adaptive $k$-space
acquisition trajectories can improve reconstructed image quality for larger
acceleration factors. However, and perhaps surprisingly, our best performing
policies learn to be explicitly non-adaptive.
|
[
"eess.IV",
"cs.CV"
] |
eess.IV
|
cs.CV
|
Image and Video Processing;Computer Vision and Pattern Recognition
| 3,532Image and Video Processing;Computer Vision and Pattern Recognition
|
2005.03341
|
Low-resolution text images are often seen in natural scenes such as documents
captured by mobile phones. Recognizing low-resolution text images is
challenging because they lose detailed content information, leading to poor
recognition accuracy. An intuitive solution is to introduce super-resolution
(SR) techniques as pre-processing. However, previous single image
super-resolution (SISR) methods are trained on synthetic low-resolution images
(e.g.Bicubic down-sampling), which is simple and not suitable for real
low-resolution text recognition. To this end, we pro-pose a real scene text SR
dataset, termed TextZoom. It contains paired real low-resolution and
high-resolution images which are captured by cameras with different focal
length in the wild. It is more authentic and challenging than synthetic data,
as shown in Fig. 1. We argue improv-ing the recognition accuracy is the
ultimate goal for Scene Text SR. In this purpose, a new Text Super-Resolution
Network termed TSRN, with three novel modules is developed. (1) A sequential
residual block is proposed to extract the sequential information of the text
images. (2) A boundary-aware loss is designed to sharpen the character
boundaries. (3) A central alignment module is proposed to relieve the
misalignment problem in TextZoom. Extensive experiments on TextZoom demonstrate
that our TSRN largely improves the recognition accuracy by over 13%of CRNN, and
by nearly 9.0% of ASTER and MORAN compared to synthetic SR data. Furthermore,
our TSRN clearly outperforms 7 state-of-the-art SR methods in boosting the
recognition accuracy of LR images in TextZoom. For example, it outperforms
LapSRN by over 5% and 8%on the recognition accuracy of ASTER and CRNN. Our
results suggest that low-resolution text recognition in the wild is far from
being solved, thus more research effort is needed.
|
[
"cs.CV"
] |
cs.CV
|
Computer Vision and Pattern Recognition
| 1,498Computer Vision and Pattern Recognition
|
|
2111.08488
|
Realistic nuclear structure calculations are presented for the event rates
due to coherent elastic neutrino-nucleus scattering (CE$\nu$NS), assuming
neutrinos from pion-decay at-rest, from nuclear reactors and from Earth's
interior. We focus on the currently interesting Germanium isotopes,
$^{70,73,76}$Ge, which constitute detector materials of the recently planned
CE$\nu$NS experiments. We study in addition the potential use of $^{64,70}$Zn
and $^{28}$Si isotopes as promising CE$\nu$NS detectors. From nuclear physics
perspectives, recently, calculations have been carried out within the framework
of the deformed shell-model (DSM), based on realistic nuclear forces, and
assessed on the reproducibility of spectroscopic nuclear properties. The high
confidence level acquired by their agreement with experimental results and by
their comparison with other mostly phenomenological calculations encouraged the
use of DSM to extract predictions for the CE$\nu$NS event rates of the above
isotopes. Our detailed estimation of the nuclear physics aspects of the
recently observed neutral current coherent neutrino-nucleus scattering may shed
light on unravelling the still remaining uncertainties for the CE$\nu$NS
process within and beyond the Standard Model.
|
[
"nucl-th"
] |
nucl-th
|
Nuclear Theory
| 4,876Nuclear Theory
|
|
2005.01990
|
We study quantum criticality of the magnetic field induced charge density
wave (CDW) order in correlated spinless Dirac fermions on the $\pi$-flux square
lattice at zero temperature as a prototypical example of the magnetic
catalysis, by using the infinite density matrix renormalization group. It is
found that the CDW order parameter $M(B)$ exhibits an anomalous magnetic field
$(B)$ scaling behavior characteristic of the $(2+1)$-dimensional chiral Ising
universality class near the quantum critical point, which leads to a strong
enhancement of $M(B)$ compared with a mean field result. We also establish a
global phase diagram in the interaction-magnetic field plane for the fermionic
quantum criticality.
|
[
"cond-mat.str-el",
"hep-ph"
] |
cond-mat.str-el
|
hep-ph
|
Strongly Correlated Electrons;High Energy Physics - Phenomenology
| 7,002Strongly Correlated Electrons;High Energy Physics - Phenomenology
|
0904.3741
|
We describe a data structure that maintains the number of triangles in a
dynamic undirected graph, subject to insertions and deletions of edges and of
degree-zero vertices. More generally it can be used to maintain the number of
copies of each possible three-vertex subgraph in time O(h) per update, where h
is the h-index of the graph, the maximum number such that the graph contains
$h$ vertices of degree at least h. We also show how to maintain the h-index
itself, and a collection of h high-degree vertices in the graph, in constant
time per update. Our data structure has applications in social network analysis
using the exponential random graph model (ERGM); its bound of O(h) time per
edge is never worse than the Theta(sqrt m) time per edge necessary to list all
triangles in a static graph, and is strictly better for graphs obeying a power
law degree distribution. In order to better understand the behavior of the
h-index statistic and its implications for the performance of our algorithms,
we also study the behavior of the h-index on a set of 136 real-world networks.
|
[
"cs.DS"
] |
cs.DS
|
Data Structures and Algorithms
| 1,908Data Structures and Algorithms
|
|
1101.6075
|
Someone knowledgeable in nonstandard analysis may get the feeling that in the
nonlinear theory of generalized functions, too often one works directly on the
nets and spends effort to obtain results that should be clear from general
principles. We want to show that such principles can indeed be introduced and
to illustrate their role to solve problems.
This text is intended as a tutorial on the use of nonstandard principles in
generalized function theory intended for researchers in the nonlinear theory of
generalized functions.
|
[
"math.FA"
] |
math.FA
|
Functional Analysis
| 2,549Functional Analysis
|
|
1109.0726
|
Detailed experimental data for physisorption potential-energy curves of H2 on
low-indexed faces of Cu challenge theory. Recently, density-functional theory
has been developed to also account for nonlocal correlation effects, including
van der Waals forces. We show that one functional, denoted vdW-DF2, gives a
potential-energy curve promisingly close to the experiment-derived
physisorptionenergy curve. The comparison also gives indications for further
improvements of the functionals.
|
[
"cond-mat.mtrl-sci"
] |
cond-mat.mtrl-sci
|
Materials Science
| 4,287Materials Science
|
|
gr-qc/9906080
|
We consider homothetic maps in a family of spherical relativistic star
models. A generalization of Vaidya's radiating metric provides a fluid
atmosphere of radiation and strings. The similarity structure of the string
fluid is investigated.
|
[
"gr-qc"
] |
gr-qc
|
General Relativity and Quantum Cosmology
| 2,674General Relativity and Quantum Cosmology
|
|
astro-ph/0604572
|
Although rare, massive stars, being the main sources of ionizing radiation,
chemical enrichment and mechanical energy in the Galaxy, are the most important
objects of the stellar population. This review presents the many different
aspects of the main tool used to study these stars, i.e. spectroscopy. The
first part consists in an introduction on these objects and their physical
properties (mass, wind, evolution, relation with their environment). Next, the
spectral behaviour of single massive stars is investigated, in the visible as
well as in the X-ray domain. Finally, the last part of this paper deals with
massive binaries, especially those exhibiting a colliding wind phenomenon.
|
[
"astro-ph"
] |
astro-ph
|
Astrophysics
| 463Astrophysics
|
|
1511.04386
|
The prospects of quantum computing have driven efforts to realize fully
functional quantum processing units (QPUs). Recent success in developing
proof-of-principle QPUs has prompted the question of how to integrate these
emerging processors into modern high-performance computing (HPC) systems. We
examine how QPUs can be integrated into current and future HPC system
architectures by accounting for functional and physical design requirements. We
identify two integration pathways that are differentiated by infrastructure
constraints on the QPU and the use cases expected for the HPC system. This
includes a tight integration that assumes infrastructure bottlenecks can be
overcome as well as a loose integration that assumes they cannot. We find that
the performance of both approaches is likely to depend on the quantum
interconnect that serves to entangle multiple QPUs. We also identify several
challenges in assessing QPU performance for HPC, and we consider new metrics
that capture the interplay between system architecture and the quantum
parallelism underlying computational performance.
|
[
"cs.ET",
"quant-ph"
] |
cs.ET
|
quant-ph
|
Emerging Technologies;Quantum Physics
| 2,427Emerging Technologies;Quantum Physics
|
1911.08212
|
In this work, we demonstrate a Chinese classical poetry generation system
called Deep Poetry. Existing systems for Chinese classical poetry generation
are mostly template-based and very few of them can accept multi-modal input.
Unlike previous systems, Deep Poetry uses neural networks that are trained on
over 200 thousand poems and 3 million ancient Chinese prose. Our system can
accept plain text, images or artistic conceptions as inputs to generate Chinese
classical poetry. More importantly, users are allowed to participate in the
process of writing poetry by our system. For the user's convenience, we deploy
the system at the WeChat applet platform, users can use the system on the
mobile device whenever and wherever possible. The demo video of this paper is
available at https://youtu.be/jD1R_u9TA3M.
|
[
"cs.CL"
] |
cs.CL
|
Computation and Language
| 1,168Computation and Language
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.