3 citations · 3 across the 2 of their papers we have counts for
7 papers
LMC-induced Perturbations in the Milky Way Halo II: Bridging Field-level Inference and Summary-level Simulation-Based Inference
Yanjun Sheng, Yuan-Sen Ting, Tomasz RóżaÅski +3
The gravitational interaction between the Milky Way (MW) and the Large Magellanic Cloud (LMC) drives the outer halo into dynamical disequilibrium, imprinting the masses and structu…
The Milky Way - Large Magellanic Cloud Interaction with Simulation Based Inference
Richard A. N. Brooks, Jason L. Sanders, Vedant Chandra +4
The infall of the Large Magellanic Cloud (LMC) into the Milky Way (MW) has displaced the MW's centre of mass, manifesting as an observed reflex motion in the velocities of outer ha…
SPICE -- modelling synthetic spectra of stars with non-homogeneous surfaces
M. JabÅoÅska, T. RóżaÅski, L. Casagrande +4
In the era of large time-domain spectro-photometric surveys, surface variations such as starspots, chemical inhomogeneities, pulsations, rotational distortions, and binary interact…
Interpreting deep learning-based stellar mass estimation via causal analysis and mutual information decomposition
Wei Zhang, Qiufan Lin, Yuan-Sen Ting +4
End-to-end deep learning models fed with multi-band galaxy images are powerful data-driven tools used to estimate galaxy physical properties in the absence of spectroscopy. However…
Effective Training Data Synthesis for Improving MLLM Chart Understanding
Yuwei Yang, Zeyu Zhang, Yunzhong Hou +5
Being able to effectively read scientific plots, or chart understanding, is a central part toward building effective agents for science. However, existing multimodal large language…
Scaling Laws for Emulation of Stellar Spectra
Tomasz RóżaÅski, Yuan-Sen Ting
Neural network-based emulators for the inference of stellar parameters and elemental abundances represent an increasingly popular methodology in modern spectroscopic surveys. Howev…