activity
20242026
collaborators

6 papers

astro-ph.IM2026

The Vera C. Rubin Observatory Data Preview 1

Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325

We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…

astro-ph.GA2025

photoD with Rubin's Data Preview 1: first stellar photometric distances and deficit of faint blue stars. Stellar distances with Rubin's DP1

L. Palaversa, E. Donev, Ž. Ivezić +96

Aims: We investigate the utility of Rubin's Data Preview 1 for estimating stellar number density profile in the Milky Way halo. Methods: Stellar broad-band near-UV to near-IR $ugri…

astro-ph.HE2025

Identification and photometric classification of extragalactic transients in the Vera C. Rubin Observatory's Data Preview 1

James Freeburn, Igor Andreoni, Kaylee M. de Soto +55

The Vera C. Rubin Observatory will soon survey the southern sky, delivering a depth and sky coverage that is unprecedented in time domain astronomy. As part of commissioning, Data…

astro-ph.HE2025

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…

astro-ph.IM2025

Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)

T. Zhang, E. Charles, J. F. Crenshaw +87

We present the first systematic analysis of photometric redshifts (photo-z) estimated from the Rubin Observatory Data Preview 1 (DP1) data taken with the Legacy Survey of Space and…

cs.CV2024

Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics

Nima Sedaghat, Tanawan Chatchadanoraset, Colin Orion Chandler +2

Motivated by the scarcity of proper labels in an astrophysical application, we have developed a novel technique, called Selfish Evolution, which allows for the detection and correc…