Characterization of silicon photomultipliers for their application in
muon scattering tomography
March 10, 2023
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Physics
Instrumentation and Detectors
High Energy Physics - Experiment
Instrumentation and Detectors
High Energy Physics - Experiment
Muon scattering tomography is a non-destructive technique used to image
different materials by utilizing natural cosmic ray muons. Typically it
requires position-sensitive detectors with a sub-millimeter resolution to
effectively distinguis...
Quantum stochastic thermodynamics: A semiclassical theory in phase space
March 10, 2023
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Physics
Statistical Mechanics
Quantum Physics
Statistical Mechanics
Quantum Physics
A formalism for quantum many-body systems is proposed through a semiclassical
treatment in phase space, allowing us to establish a stochastic thermodynamics
incorporating quantum statistics. Specifically, we utilize a stochastic
Fokker-Plan...
Curve-excluding fields
March 10, 2023
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Mathematics
Logic
Algebraic Geometry
Logic
Algebraic Geometry
If C is a curve over Q with genus at least 2 and
C(Q) is empty, then the class of fields K of characteristic 0 such
that C(K)=∅ has a model companion, which we call CXF.
The theory $C\mat...
A General Recipe for the Analysis of Randomized Multi-Armed Bandit
Algorithms
March 10, 2023
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Computer Science
Statistics
Machine Learning
Machine Learning
In this paper we propose a general methodology to derive regret bounds for
randomized multi-armed bandit algorithms. It consists in checking a set of
sufficient conditions on the sampling probability of each arm and on the family
of distrib...
One-loop Gravitational Bremsstrahlung and Waveforms from a Heavy-Mass
Effective Field Theory
March 10, 2023
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Physics
High Energy Physics - Theory
High Energy Astrophysical Phenomena
General Relativity and Quantum Cosmology
Using a heavy-mass effective field theory (HEFT), we study gravitational-wave
emission in the scattering of two spinless black holes or neutron stars of
arbitrary masses at next-to-leading order in the Post-Minkowskian expansion. We
compute...
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in
heteroskedastic PCA
March 10, 2023
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Mathematics
Computer Science
Statistics
Statistics Theory
Information Theory
Machine Learning
Information Theory
Methodology
Machine Learning
Statistics Theory
This paper is concerned with estimating the column subspace of a low-rank
matrix X⋆∈Rn1×n2 from contaminated
data. How to obtain optimal statistical accuracy while accommodating the widest
range o...
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical
Information Extraction
March 10, 2023
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Computer Science
Information Retrieval
Artificial Intelligence
Multi-scenario & multi-task learning has been widely applied to many
recommendation systems in industrial applications, wherein an effective and
practical approach is to carry out multi-scenario transfer learning on the
basis of the Mixture...
An Alternative Formulation of the Quantum Phase Estimation Using
Projection-Based Tensor Decompositions
March 10, 2023
Physics
Quantum Physics
In this paper an alternative version of the quantum phase estimation is
proposed, in which the Hadamard gates at the beginning are substituted by a
quantum Fourier transform. This new circuit coincides with the original one,
when the ancill...
Unveiling the Cyclicity of Monodromic Tangential Singularities: Insights
Beyond the Pseudo-Hopf Bifurcation
March 10, 2023
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Mathematics
Dynamical Systems
The cyclicity problem, crucial in analyzing planar vector fields, consists in
estimating the number of limit cycles emanating from monodromic singularities.
Traditionally, this estimation relies on Lyapunov coefficients. However, in
nonsmoo...
Monte Carlo Grid Dynamic Programming: Almost Sure Convergence and
Probability Constraints
March 10, 2023
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Electrical Engineering and Systems Science
Computer Science
Systems and Control
Systems and Control
Dynamic Programming (DP) suffers from the well-known ``curse of
dimensionality'', further exacerbated by the need to compute expectations over
process noise in stochastic models. This paper presents a Monte Carlo-based
sampling approach for...