From the 1 of 17 linked papers with an AI index.
17 papers
Agentic Active Learning Meets Visual Embeddings: Finding Anomalies among 370 000 Variable Stars from ASAS-SN
Milan Pesta, Yuan-Sen Ting
Unusual light-curve morphologies can point to rare physical configurations or new phenomena, but automatic searches for anomalies are often dominated by artifacts. Separating genui…
Foundation Models for Astrophysics
Xiaosheng Zhao, Yuan-Sen Ting
Foundation models are high-capacity networks pretrained once on broad data and then reused across many tasks. This chapter introduces them through the idea of a transferable repres…
The Twentieth Data Release of the Sloan Digital Sky Survey: First All-Sky BOSS Spectra, eROSITA-SDSS-V Mapper Coordinated Observations, and a Preview of the Local Volume Mapper
SDSS Collaboration, Mojgan Aghakhanloo, David Aguilar +273
The paper describes the twentieth data release (DR20) of the Sloan Digital Sky Survey, providing over 3 million new optical spectra from the SDSS‑V Milky Way, Black Hole, and Local…
The Payne Zero Project I: Stellar Spectra from Physical Models in Seconds
Yuan-Sen Ting, Elliot M. Kim
Modern stellar surveys measure millions of spectra, yet one self-consistent atmosphere and spectrum can require tens of minutes. This cost has motivated grids, spectral emulators,…
Weak-CN Stars Are Ordinary Cool Red Supergiants
Yuan-Sen Ting, Puragra Guhathakurta, Douglas Grion Filho +2
Weak CN absorption near ~8000 A has recently been detected in evolved red supergiants (RSGs) of 5-10 across three Local Group galaxies. These weak-CN RSGs sit in a narrow…
pyKurucz: A Pure Python Reimplementation of Kurucz ATLAS12 and SYNTHE for Stellar Spectrum Synthesis
Elliot M. Kim, Yuan-Sen Ting
pyKurucz is a pure Python reimplementation of Kurucz's ATLAS12 and SYNTHE, the standard code tools for computing synthetic stellar spectra. The original Fortran codes, written deca…