collaborators

11 papers

astro-ph.CO2026

Hermes - Towards an Optimal High-Performance Algorithm for Cosmic Statistics of Large Data Sets

Long-long Feng, Tengpeng Xu, Tian-Cheng Luan +7

We present Hermes, an in situ multiresolution framework for efficient and flexible measurements of cosmic large-scale-structure statistics from discrete catalogues. Hermes reconstr…

astro-ph.GA2026

Properties of Galactic Outflows Driven by Starburst at Cosmic Noon: Insights from Hydrodynamical Simulations

Huan Chen, Weishan Zhu, Xue-Fu Li +3

We investigate starburst-driven galactic outflows in low-mass galaxies () at cosmic noon using high-resolution 3D hydrodynamical simulations based o…

astro-ph.GA2026

Revisiting the Galactic Winds in M82 I: the recent starburst and launch of outflow in simulations

Tian-Rui Wang, Weishan Zhu, Xue-Fu Li +2

We revisit the launch of the galactic outflow in M82 using hydrodynamic simulations. Employing a sink-particle module, we self-consistently resolve star formation and feedback, avo…

astro-ph.CO2025

A New Wavelet Scattering Transform-Based Statistic for Cosmological Analysis of Large-Scale Structure

Zhujun Jiang, Xiaolin Luo, Wenying Du +6

Large-scale structure (LSS) analysis in galaxy surveys is a powerful cosmological probe but is limited by tracer bias, which can obscure underlying information and weaken parameter…

astro-ph.CO2025

Constraining the Baryon Content of Cosmic Filaments Using Localized Fast Radio Bursts and DESI Imaging Data

Jian-Feng Mo, Weishan Zhu, Qi-Rui Yang +2

Cosmic filaments are thought to host a substantial fraction of the missing baryons at redshifts . In this study, we constraint the baryonic content of these filaments using lo…

astro-ph.CO2025

An Optimal In-Situ Multipole Algorithm for the Isotropic Three-Point Correlation Functions

Wenjie Ju, Longlong Feng, Zhiqi Huang +2

We present an optimised multipole algorithm for computing the three-point correlation function (3PCF), tailored for application to large-scale cosmological datasets. The algorithm…