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7 papers · 1 filter
Lattice fermion formulation via Physics-Informed Neural Networks: Ginsparg-Wilson relation and Overlap fermions
Tatsuhiro Misumi
We propose a novel, machine-learning-based framework for constructing lattice fermions using Physics-Informed Neural Networks (PINNs). Our approach treats the formulation of the Di…
Accurate Determination of Chemical Abundances near a Supermassive Black Hole
The XRISM collaboration
The metal abundances in galactic nuclei carry key information on the history of star formation and mass transfer in central regions of galaxies. X-ray fluorescence analysis is a un…
A Fast, Hot Wind from a Nuclear Starburst
XRISM Collaboration, Marc Audard, Hisamitsu Awaki +137
Galaxies with intense star formation often host multiphase, galaxy-scale winds powered by supernovae and fast stellar winds. These are strong enough to disrupt the star-forming int…
Distributed accelerators in the jet of Centaurus A: the origin of the spectral hardening of very high energy gamma-rays
Y. S. Honda, M. Honda
We propose the synchrotron self-Compton (SSC) scenario coupled with filamentary jet model, to reproduce the very high energy -ray emissions from Cen A. With reference to self-si…
Deep Learning-Based Image Recognition for Soft-Shell Shrimp Classification
Yun-Hao Zhang, I-Hsien Ting, Dario Liberona +2
With the integration of information technology into aquaculture, production has become more stable and continues to grow annually. As consumer demand for high-quality aquatic produ…
Exploring the Relationship Between Local Election Results and Online Public Opinion in Taiwan: A Case Study of Taitung County
I-Hsien Ting, Yen-Chih Chiu, Yun-Hsiu Liu +2
This study examines the relationship between online buzz and local election outcomes in Taiwan, with a focus on Taitung County. As social media becomes a major channel for public d…