3 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
Tracing the evolution of galaxy environments with manifold learning
Ana Sofía M. Uzsoy, Claire Lamman, Peixin Zhu +1
We present SONDE (SOrted Neighbor Distance Embedding): a scalable manifold learning approach to create a nuanced, continuous, low-dimensional representation of the geometry of gala…
Photometry is all you need: supernova classification as a mixing problem
Ana Sofía 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 Sofía 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,…
Variational Inference for Acceleration of SN Ia Photometric Distance Estimation with BayeSN
Ana Sofía 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…