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Variability-finding in Rubin Data Preview 1 with LSDB

by Bellm, Eric C , Mandelbaum, Rachel , Aubourg, Eric , Shugart, Alysha , Wouter van Reeven , Moniez, Marc , Carlin, Jeffrey L , Kang, Yijung , Morrison, Christopher B , Urbach, Elana K , Gangler, Emmanuel , Zhang, Tianqing , Beebe, Wilson , Connolly, Andrew , DeLucchi, Melissa , Dai, Mi , Sánchez, Bruno O , Calabrese, Daniel , Sanmartim, David , Riot, Vincent J , Lynn, Olivia , Laurent Le Guillou , Branton, Doug , Wood-Vasey, W M , Malz, Alex I , Alexov, Anastasia , Daubard, Guillaume , Taranu, Dan S , Choi, Yumi , Sullivan, Ian S , Campos, Sandro , Bauer, Amanda E , Sebag, Jacques , Quint, Bruno , Guy, Leanne P , Kannawadi, Arun , Daly, Philip N , Kubica, Jeremy , Ivezić, Željko , Jammes, Fabrice , Delgado, Francisco , Kahn, Steven M , Blum, Robert David , Drass, Holger , Jannuzi, Buell T , Radeka, Veljko , Caplar, Neven , McGuire, Sean , Ordenes, Ian E , Malanchev, Konstantin , Jones, Derek T , Jurić, Mario , Plazas Malagón, Andrés A , Gloria Fonseca Alvarez , Jimenez, David , Jenness, Tim , Qiu, Yongqiang , Daruich, Felipe , Patterson, Maria T

in Astronomy / Data analysis / Infrastructure / Software / Tiling / Variability

2025

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Variability-finding in Rubin Data Preview 1 with LSDB

in Astronomy / Data analysis / Infrastructure / Software / Tiling / Variability

2025

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Variability-finding in Rubin Data Preview 1 with LSDB

in Astronomy / Data analysis / Infrastructure / Software / Tiling / Variability

2025

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Paper

Variability-finding in Rubin Data Preview 1 with LSDB

Bellm, Eric C,

Mandelbaum, Rachel,

Aubourg, Eric,

Shugart, Alysha,

Wouter van Reeven,

Moniez, Marc,

Carlin, Jeffrey L,

Kang, Yijung,

Morrison, Christopher B,

Urbach, Elana K,

Gangler, Emmanuel,

Zhang, Tianqing,

Beebe, Wilson,

Connolly, Andrew,

DeLucchi, Melissa,

Dai, Mi,

Sánchez, Bruno O,

Calabrese, Daniel,

Sanmartim, David,

Riot, Vincent J,

Lynn, Olivia,

Laurent Le Guillou,

Branton, Doug,

Wood-Vasey, W M,

Malz, Alex I,

Alexov, Anastasia,

Daubard, Guillaume,

Taranu, Dan S,

Choi, Yumi,

Sullivan, Ian S,

Campos, Sandro,

Bauer, Amanda E,

Sebag, Jacques,

Quint, Bruno,

Guy, Leanne P,

Kannawadi, Arun,

Daly, Philip N,

Kubica, Jeremy,

Ivezić, Željko,

Jammes, Fabrice,

Delgado, Francisco,

Kahn, Steven M,

Blum, Robert David,

Drass, Holger,

Jannuzi, Buell T,

Radeka, Veljko,

Caplar, Neven,

McGuire, Sean,

Ordenes, Ian E,

Malanchev, Konstantin,

Jones, Derek T,

Jurić, Mario,

Plazas Malagón, Andrés A,

Gloria Fonseca Alvarez,

Jimenez, David,

Jenness, Tim,

Qiu, Yongqiang,

Daruich, Felipe,

Patterson, Maria T

2025

Overview

The Vera C. Rubin Observatory recently released Data Preview 1 (DP1) in advance of the upcoming Legacy Survey of Space and Time (LSST), which will enable boundless discoveries in time-domain astronomy over the next ten years. DP1 provides an ideal sandbox for validating innovative data analysis approaches for the LSST mission, whose scale challenges established software infrastructure paradigms. This note presents a pair of such pipelines for variability-finding using powerful software infrastructure suited to LSST data, namely the HATS (Hierarchical Adaptive Tiling Scheme) format and the LSDB framework, developed by the LSST Interdisciplinary Network for Collaboration and Computing (LINCC) Frameworks team. This article presents a pair of variability-finding pipelines built on LSDB, the HATS catalog of DP1 data, and preliminary results of detected variable objects, two of which are novel discoveries.

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Publisher

Cornell University Library, arXiv.org

Subject

/ Tiling