XC
Xingzhuo Chen
astro-ph.HEastro-ph.IMastro-ph.COastro-ph.GAcs.LG
On Valency
published · living versionsW_2g47vdek·v1 · currentpublished
Constraining Type Ia Supernova Delay Time with Spatially Resolved Star Formation Histories
with Lei Hu, Lifan Wang
1 version
Preprints & journals
15 papers in the corpus · 2018–2026High-Redshift Type Ia Supernovae Exhibit Enhanced Calcium Abundances2608.18342v1 · Xingzhuo Chen, Ulisses Braga-Neto, Lifan Wang2026 · 0 citationsarXiv
A GPU-Accelerated Transient Detection Pipeline for DECam Time-Domain Surveys2603.08593v1 · Lei Hu, Tom'as Cabrera, Antonella Palmese et al.2026 · 0 citationsarXiv
Convolution Operator Network for Forward and Inverse Problems (FI-Conv): Application to Plasma Turbulence Simulations2602.04287v1 · Xingzhuo Chen, Anthony Poole, Ionut-Gabriel Farcas et al.2026 · 0 citationsarXiv
SEDONA-GesaRaT: an AI-Accelerated Radiative Transfer Program for 3-D Supernova Simulations2507.11767v1 · Xingzhuo Chen, Ulisses Braga-Neto, Lifan Wang et al.2025 · 0 citationsarXiv
Kilonova constraints for the LIGO/Virgo/KAGRA neutron star merger candidate S250206dm: GW-MMADS observations2506.22626v1 · Lei Hu, Tom'as Cabrera, Antonella Palmese et al.2025 · 10 citationsThe Astrophysical Journal Letters, 2025, Volume 990, Number 2
Measuring Type Ia Supernova Angular-Diameter Distances with Intensity Interferometry2503.07725v3 · A. G. Kim, P. E. Nugent, Xingzhuo Chen et al.2025 · 2 citationsarXiv
An Integral-Based Technique (IBT) to Accelerate the Monte-Carlo Radiative Transfer Computation for Supernovae2409.07729v1 · Xingzhuo Chen, Lifan Wang, Daniel Kasen2024 · 0 citationsarXiv
Using Physics Informed Neural Networks for Supernova Radiative Transfer Simulation2211.05219v1 · Xingzhuo Chen, David J. Jeffery, Ming Zhong et al.2022 · 3 citationsarXiv
Artificial Intelligence Assisted Inversion (AIAI): Quantifying the Spectral Features of Ni of Type Ia Supernovae2210.15892v2 · Xingzhuo Chen, Lifan Wang, Lei Hu et al.2022 · 0 citationsarXiv
Constraints on Cosmological Parameters with a Sample of Type Ia Supernovae from JWST2210.00746v2 · Jia Lu, Lifan Wang, Xingzhuo Chen et al.2022 · 18 citationsarXiv
Spectroscopic Studies of Type Ia Supernovae Using LSTM Neural Networks2202.02498v2 · Lei Hu, Xingzhuo Chen, Lifan Wang2022 · 24 citationsThe Astrophysical Journal, 2022, Volume 930, Number 1
Image Subtraction in Fourier Space2109.09334v2 · Lei Hu, Lifan Wang, Xingzhuo Chen et al.2021 · 56 citationsThe Astrophysical Journal, 2022, Volume 936, Number 2
Constraining Type Ia Supernova Delay Time with Spatially Resolved Star Formation Histories2101.06242v1 · Xingzhuo Chen, Lei Hu, Lifan Wang2021 · 18 citationsarXivon Valency
Artificial Intelligence Assisted Inversion (AIAI) of Synthetic Type Ia Supernova Spectra1911.05209v2 · Xingzhuo Chen, Lei Hu, Lifan Wang2019 · 12 citationsarXiv
A New Method to Classify Type IIP/IIL Supernovae Based on their Spectra1811.03022v1 · Xingzhuo Chen, Shihao Kou, Xuewen Liu2018 · 6 citationsarXiv
Career total: 29 works. 15 are in this corpus.
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