Tootfinder

Instrument Signature Removal and Calibration Products for the Rubin Legacy Survey of Space and Time
Andr\'es A. Plazas Malag\'on, Chris Waters, Alex Broughton, Eli Rykoff, Agn\`es Fert\'e, Merlin Fisher-Levine, Robert Lupton
https://arxiv.org/abs/2404.14516

Instrument Signature Removal and Calibration Products for the Rubin Legacy Survey of Space and Time
The Vera C. Rubin Legacy Survey of Space and Time (LSST) will conduct an unprecedented optical survey of the southern sky, imaging the entire available sky every few nights for 10 years. To achieve its ambitious science goals of probing dark energy and dark matter, mapping the Milky Way, and exploring the transient optical sky, the systematic errors in the LSST data must be exquisitely controlled. Instrument signature removal (ISR) is a critical early step in LSST data processing to remove inhe…

Superphot : Realtime Fitting and Classification of Supernova Light Curves
Kaylee M. de Soto (Center for Astrophysics | Harvard & Smithsonian), Ashley Villar (Center for Astrophysics | Harvard & Smithsonian), Edo Berger (Center for Astrophysics | Harvard & Smithsonian, The NSF AI Institute for Artificial Intelligence and Fundamental Interactions), Sebastian Gomez (Space Telescope Science Institute), Griffin Hosseinzadeh (Steward Observatory | University of Arizona), Doug Bra…

Superphot+: Realtime Fitting and Classification of Supernova Light Curves
Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric surveys, such as the Zwicky Transient Facility (ZTF) and the Vera C. Rubin Observatory. Here, we present a photometric classifier for SN light curves that does not rely on redshift information and still maintains comparable accuracy to redshift-dependent classifiers. Our new package, Superphot+, uses a parametric mod…

Superphot : Realtime Fitting and Classification of Supernova Light Curves
Kaylee M. de Soto (Center for Astrophysics | Harvard & Smithsonian), Ashley Villar (Center for Astrophysics | Harvard & Smithsonian), Edo Berger (Center for Astrophysics | Harvard & Smithsonian, The NSF AI Institute for Artificial Intelligence and Fundamental Interactions), Sebastian Gomez (Space Telescope Science Institute), Griffin Hosseinzadeh (Steward Observatory | University of Arizona), Doug Bra…

Superphot+: Realtime Fitting and Classification of Supernova Light Curves
Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric surveys, such as the Zwicky Transient Facility (ZTF) and the Vera C. Rubin Observatory. Here, we present a photometric classifier for SN light curves that does not rely on redshift information and still maintains comparable accuracy to redshift-dependent classifiers. Our new package, Superphot+, uses a parametric mod…

Enabling Science from the Rubin Alert Stream with Lasair
Roy D. Williams, Gareth P. Francis, Andy Lawrence, Terence M. Sloan, Stephen J. Smartt, Ken W. Smith, David R. Young
https://arxiv.org/abs/2404.08315

Enabling Science from the Rubin Alert Stream with Lasair
Lasair is the UK Community Broker for transient alerts from the Legacy Survey of Space and Time (LSST) from the Vera C. Rubin Observatory. We explain the system's capabilities, how users can achieve their scientific goals, and how Lasair is implemented. Lasair offers users a kit of parts that they can use to build filters to concentrate their desired alerts. The kit has novel lightcurve features, sky context, watchlists of special sky objects and regions of the sky, dynamic crossmatching with c…