1 citations · 1 across the 3 of their papers we have counts for
7 papers
Minuet: A Diffusion Autoencoder for Compact Semantic Compression of Multi-Band Galaxy Images
Alexander T. Gagliano, Yunyi Shen, V. A. Villar
The Vera C. Rubin Observatory is slated to observe nearly 20 billion galaxies during its decade-long Legacy Survey of Space and Time. The rich imaging data it collects will be an i…
Characterizing Supernova Host Galaxies with FrankenBlast: A Scalable Tool for Transient Host Galaxy Association, Photometry, and Stellar Population Modeling
Anya E. Nugent, V. Ashley Villar, Alex Gagliano +5
We present FrankenBlast, a customized and improved version of the Blast web application. FrankenBlast associates transients to their host galaxies, performs host photometry, and ru…
reLAISS: A Python Package for Flexible Similarity Searches of Supernovae and Their Host Galaxies
E. Reynolds, A. Gagliano, V. A. Villar
Discovery rates of supernovae are expected to surpass one million events annually with the Vera C. Rubin Observatory. With unprecedented sample sizes of both common and rare transi…
Causal Foundation Models: Disentangling Physics from Instrument Properties
Jeroen Audenaert, Daniel Muthukrishna, Paul F. Gregory +2
Foundation models for structured time series data must contend with a fundamental challenge: observations often conflate the true underlying physical phenomena with systematic dist…
Enabling Early Transient Discovery in LSST via Difference Imaging with DECam
Yize Dong, Kaylee de Soto, V. Ashley Villar +58
We present SLIDE, a pipeline that enables transient discovery in data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), using archival images from the Da…
SPLASH: A Rapid Host-Based Supernova Classifier for Wide-Field Time-Domain Surveys
Adam Boesky, V. Ashley Villar, Alexander Gagliano +1
The upcoming Legacy Survey of Space and Time (LSST) conducted by the Vera C. Rubin Observatory will detect millions of supernovae (SNe) and generate millions of nightly alerts, far…