6 papers
Inversion of Hydrogen-rich Atmosphere and Water Content for GJ 486b
Junda Zhou, Zhenyang Huang, Di-Chang Chen +1
GJ~486b is a close-in planet orbiting an M dwarf and is therefore expected to have undergone strong atmospheric escape. Motivated by theoretical and observational studies on the co…
Application of interpretable data-driven methods for the reconstruction of supernova neutrino energy spectra following fast neutrino flavor conversions
Haihao Shi, Zhenyang Huang, Qiyu Yan +3
Neutrinos can experience fast flavor conversions (FFCs) in highly dense astrophysical environments, such as core-collapse supernovae and neutron star mergers, potentially affecting…
Dark Matter (S)pins the Planet
Haihao Shi, Junda Zhou, Zhenyang Huang +2
Dark matter heating in planets has been proposed as a potential probe for dark matter detection. Assuming near-equilibrium conditions, we find that the energy input from dark matte…
A Core-Collapse Supernova Neutrino Parameterization with Enhanced Physical Interpretability
Haihao Shi, Zhenyang Huang, Junda Zhou +2
We introduce a novel parameterization of supernova neutrino energy spectra with a clear physical motivation. Its central parameter, , quantifies the characteristic thermal-d…
Hunting Hidden Axion Signals in Pulsar Dispersion Measurements with Machine Learning
Haihao Shi, Zhenyang Huang, Qiyu Yan +3
In axion models, interactions between axions and electromagnetic waves induce frequency-dependent time delays determined by the axion mass and decay constant. These small delays ar…
An Interpretable AI Framework to Disentangle Self-Interacting and Cold Dark Matter in Galaxy Clusters: The CKAN Approach
Zhenyang Huang, Haihao Shi, Zhiyong Liu +1
Convolutional neural networks have shown their ability to differentiate between self-interacting dark matter (SIDM) and cold dark matter (CDM) on galaxy cluster scales. However, th…