First Determination of the 27Al Neutron Distribution Radius from a Parity-Violating Electron Scattering Measurement

Kavli Affiliate: A. C. Davis | Summary:We report the first measurement of the parity-violating elastic electron scattering asymmetry on 27Al. The 27Al elastic asymmetry is A_PV = 2.16 +- 0.11 (stat) +- 0.16 (syst) ppm, and was measured at <Q^2> =0.02357 +- 0.0001 GeV^2, <theta_lab> = 7.61 +- 0.02 degrees, and <E_lab> = 1.157 GeV […]


Continue.. First Determination of the 27Al Neutron Distribution Radius from a Parity-Violating Electron Scattering Measurement

QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task

Kavli Affiliate: Ke Wang | First 5 Authors: Jiayi Wang, Ke Wang, Boxing Chen, Yu Zhao, Weihua Luo | Summary: Quality Estimation, as a crucial step of quality control for machine translation, has been explored for years. The goal is to investigate automatic methods for estimating the quality of machine translation results without reference translations. […]


Continue.. QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task

Non-Equilibrating a Black Hole with Inhomogeneous Quantum Quench

Kavli Affiliate: Masahiro Nozaki | Summary:We study quantum quench processes in (1+1)-dimensional conformal field theory (CFT) in which the initial thermal equilibrium (Gibbs) state is time-evolved by spatially inhomogeneous Hamiltonians, the so-called Möbius and sine-square-deformed (SSD) Hamiltonians. We found that, when the quench is induced by the SSD Hamiltonian, almost all the degrees of freedom […]


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DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification

Kavli Affiliate: Brian Nord | First 5 Authors: Aleksandra Ćiprijanović, Diana Kafkes, Gregory Snyder, F. Javier Sánchez, Gabriel Nathan Perdue | Summary: Data processing and analysis pipelines in cosmological survey experiments introduce data perturbations that can significantly degrade the performance of deep learning-based models. Given the increased adoption of supervised deep learning methods for processing […]


Continue.. DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification

Neutrino Observations of LHAASO Sources: Present Constraints and Future Prospects

Kavli Affiliate: Zhuo Li | First 5 Authors: Tian-Qi Huang, Zhuo Li, , , | Summary: The Large High Altitude Air Shower Observatory (LHAASO) observed a dozen of gamma-ray sources with significant emission above 100 TeV, which may be strong candidates of PeVatrons. Neutrino observations are crucial to diagnose whether the gamma-ray radiative process is […]


Continue.. Neutrino Observations of LHAASO Sources: Present Constraints and Future Prospects

Neutrino Observations of LHAASO Sources: Present and Prospect

Kavli Affiliate: Zhuo Li | First 5 Authors: Tian-Qi Huang, Zhuo Li, , , | Summary: The Large High Altitude Air Shower Observatory (LHAASO) observed a dozen of gamma-ray sources with significant emission above 100 TeV, which are the possible accelerators of PeV cosmic-rays. The neutrino observations are required to answer whether these high energy […]


Continue.. Neutrino Observations of LHAASO Sources: Present and Prospect

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes