Enabling Early Transient Discovery in LSST via Difference Imaging with DECam
Yize Dong, Kaylee de Soto, V. Ashley Villar, Anya Nugent, Alex Gagliano, K. Azalee Bostroem, Anastasia Alexov, \'Eric Aubourg, Farrukh Azfar, Alexandre Boucaud, Andrew Bradshaw, Johann Cohen-Tanugi, Sylvie Dagoret-Campagne, Phil N. Daly, Felipe Daruich, Peter E. Doherty

TL;DR
SLIDE is a pipeline that uses archival DECam images for difference imaging to enable early transient discovery in LSST data, effectively identifying new transients and supporting early transient analysis.
Contribution
This paper introduces SLIDE, a novel pipeline that performs difference imaging with archival images to facilitate early transient detection in LSST, especially when templates are incomplete or contaminated.
Findings
Identified 29 new transients, 12 of which were previously undetected.
Demonstrated effective photometry extraction circumventing poor LSST templates.
Showcased the pipeline's utility for early LSST transient analysis.
Abstract
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 Dark Energy Camera (DECam) as templates for difference imaging. We apply this pipeline to the recently released Data Preview 1 (DP1; the first public release of Rubin commissioning data) and search for transients in the resulting difference images. The image subtraction, photometry extraction, and transient detection are all performed on the Rubin Science Platform. We demonstrate that SLIDE effectively extracts clean photometry by circumventing poor or missing LSST templates. We identified 29 previously unreported transients, 12 of which would not have been detected based on the DP1 DiaObject catalog. SLIDE will be especially useful for transient analysis in the early years of LSST, when template coverage will…
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