3 papers
cs.LG2025
Learning and Interpreting Gravitational-Wave Features from CNNs with a Random Forest Approach
Jun Tian, He Wang, Jibo He +3
Convolutional neural networks (CNNs) have become widely adopted in gravitational wave (GW) detection pipelines due to their ability to automatically learn hierarchical features fro…
astro-ph.HE2025
FAST Observation and Results for Core Collapse Globular Cluster M15 and NGC 6517
Yuxiao Wu, Dejiang Yin, Yu Pan +9
Radio astronomy is part of radio science that developed rapidly in recent decades. In the research of radio astronomy, pulsars have always been an enduring popular research target.…
astro-ph.HE2024
Cosmological Model Independent Constraints on Lorentz Invariance Violation with Updated Gamma-Ray Burst Observations: An Artificial Neural Network Approach
Jun Tian, Yu Pan, Shuo Cao +2
Searching for Lorentz invariance violation (LIV) using astrophysical sources such as gamma-ray bursts (GRBs) is crucial for probing quantum gravity. However, the dependence of LIV…