From the 1 of 6 linked papers with an AI index.
6 papers
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…
Photometry is all you need: supernova classification as a mixing problem
Ana SofÃa M. Uzsoy, V. Ashley Villar
In the era of large-scale photometric surveys, scalable and robust methods for classifying supernova (SN) populations are increasingly necessary. Often, spectroscopy is essential i…
Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting
Ana SofÃa M. Uzsoy, Andrew K. Saydjari, Arjun Dey +37
Lyman Alpha Emitters (LAEs) are valuable high-redshift cosmological probes traditionally identified using specialized narrow-band photometric surveys. In ground-based spectroscopy,…
ODIN: Confirmation and 3D Reconstruction of Six Massive Protoclusters at Cosmic Noon
Ashley Ortiz, Vandana Ramakrishnan, Kyoung-Soo Lee +64
Protoclusters represent sites of accelerated galaxy formation and extreme astrophysical activity characteristic of dense environments. Identifying massive protoclusters and mapping…
Effect of local environment on Ly line profile in DESI/ODIN LAEs
Ana SofÃa M. Uzsoy, Arjun Dey, Anand Raichoor +51
Lyman-Alpha Emitters (LAEs) are star-forming galaxies with significant Ly emission and are often used as tracers of large-scale structure at high redshift. We explore the relat…
Variational Inference for Acceleration of SN Ia Photometric Distance Estimation with BayeSN
Ana SofÃa M. Uzsoy, Stephen Thorp, Matthew Grayling +1
Type Ia supernovae (SNe Ia) are standarizable candles whose observed light curves can be used to infer their distances, which can in turn be used in cosmological analyses. As the q…