activity
20202026
most citedCycle-StarNet: Bridging the gap between theory and data by leveraging large datasets

33 citations · 65 across the 21 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

astro-ph.GA2024

The Structure, Populations and Kinematics of the Milky Way central and inner Bulge with OGLE, APOGEE and Gaia data

Xiao Han, Hai-Feng Wang, Giovanni Carraro +4

We present an analysis of the structure, kinematics, and chemo-dynamical properties of the Milky Way bulge using RR Lyrae stars from OGLE, and giant stars from APOGEE and Gaia that…

astro-ph.IM2024★ 3 cited

Interpreting Multi-band Galaxy Observations with Large Language Model-Based Agents

Zechang Sun, Yuan-Sen Ting, Yaobo Liang +3

Astronomical research traditionally relies on extensive domain knowledge to interpret observations and narrow down hypotheses. We demonstrate that this process can be emulated usin…

astro-ph.IM2024★ 1 cited

AstroMLab 1: Who Wins Astronomy Jeopardy!?

Yuan-Sen Ting, Tuan Dung Nguyen, Tirthankar Ghosal +8

We present a comprehensive evaluation of proprietary and open-weights large language models using the first astronomy-specific benchmarking dataset. This dataset comprises 4,425 mu…

astro-ph.IM2024★ 1 cited

Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery

Zechang Sun, Yuan-Sen Ting, Yaobo Liang +3

Identifying and predicting the factors that contribute to the success of interdisciplinary research is crucial for advancing scientific discovery. However, there is a lack of metho…

astro-ph.CO2024★ 3 cited

Blind QSO reconstruction challenge: Exploring methods to reconstruct the Ly emission line of QSOs

Bradley Greig, Sarah E. I. Bosman, Frederick B. Davies +9

Reconstructing the intrinsic Ly line flux from high- QSOs can place constraints on the neutral hydrogen content of the intergalactic medium during reionisation. There are now…

astro-ph.CO2024★ 1 cited

Exploring the role of the halo mass function for inferring astrophysical parameters during reionisation

Bradley Greig, David Prelogović, Jordan Mirocha +3

The detection of the 21-cm signal at will reveal insights into the properties of the first galaxies responsible for driving reionisation. To extract this information, w…

astro-ph.CO2024★ 1 cited

Inferring astrophysical parameters using the 2D cylindrical power spectrum from reionisation

Bradley Greig, David Prelogović, Yuxiang Qin +2

Enlightening our understanding of the first galaxies responsible for driving reionisation requires detecting the 21-cm signal from neutral hydrogen. Interpreting the wealth of info…