_version_ 1866912506692239360
author Malanchev, Konstantin
DeLucchi, Melissa
Caplar, Neven
Malz, Alex I.
Alexov, Anastasia
Aubourg, Eric
Bauer, Amanda E
Beebe, Wilson
Bellm, Eric C.
Blum, Robert David
Branton, Doug
Campos, Sandro
Calabrese, Daniel
Carlin, Jeffrey L.
Choi, Yumi
Connolly, Andrew
Dai, Mi
Daly, Philip N.
Daruich, Felipe
Daubard, Guillaume
Delgado, Francisco
Drass, Holger
Alvarez, Gloria Fonseca
Gangler, Emmanuel
Guy, Leanne P.
Ivezić, Željko
Jammes, Fabrice
Jannuzi, Buell T.
Jenness, Tim
Jimenez, David
Jones, Derek T.
Jurić, Mario
Kahn, Steven M.
Kang, Yijung
Kannawadi, Arun
Kubica, Jeremy
Guillou, Laurent Le
Lynn, Olivia
Mandelbaum, Rachel
Moniez, Marc
Morrison, Christopher B.
McGuire, Sean
Ordenes, Ian E.
Patterson, Maria T.
Malagón, Andrés A. Plazas
Qiu, Yongqiang
Quint, Bruno
Radeka, Veljko
van Reeven, Wouter
Riot, Vincent J.
Sánchez, Bruno O.
Sanmartim, David
Sebag, Jacques
Shugart, Alysha
Sullivan, Ian S.
Taranu, Dan S.
Urbach, Elana K.
Wood-Vasey, W. M.
Zhang, Tianqing
author_facet Malanchev, Konstantin
DeLucchi, Melissa
Caplar, Neven
Malz, Alex I.
Alexov, Anastasia
Aubourg, Eric
Bauer, Amanda E
Beebe, Wilson
Bellm, Eric C.
Blum, Robert David
Branton, Doug
Campos, Sandro
Calabrese, Daniel
Carlin, Jeffrey L.
Choi, Yumi
Connolly, Andrew
Dai, Mi
Daly, Philip N.
Daruich, Felipe
Daubard, Guillaume
Delgado, Francisco
Drass, Holger
Alvarez, Gloria Fonseca
Gangler, Emmanuel
Guy, Leanne P.
Ivezić, Željko
Jammes, Fabrice
Jannuzi, Buell T.
Jenness, Tim
Jimenez, David
Jones, Derek T.
Jurić, Mario
Kahn, Steven M.
Kang, Yijung
Kannawadi, Arun
Kubica, Jeremy
Guillou, Laurent Le
Lynn, Olivia
Mandelbaum, Rachel
Moniez, Marc
Morrison, Christopher B.
McGuire, Sean
Ordenes, Ian E.
Patterson, Maria T.
Malagón, Andrés A. Plazas
Qiu, Yongqiang
Quint, Bruno
Radeka, Veljko
van Reeven, Wouter
Riot, Vincent J.
Sánchez, Bruno O.
Sanmartim, David
Sebag, Jacques
Shugart, Alysha
Sullivan, Ian S.
Taranu, Dan S.
Urbach, Elana K.
Wood-Vasey, W. M.
Zhang, Tianqing
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_23955
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Variability-finding in Rubin Data Preview 1 with LSDB
Malanchev, Konstantin
DeLucchi, Melissa
Caplar, Neven
Malz, Alex I.
Alexov, Anastasia
Aubourg, Eric
Bauer, Amanda E
Beebe, Wilson
Bellm, Eric C.
Blum, Robert David
Branton, Doug
Campos, Sandro
Calabrese, Daniel
Carlin, Jeffrey L.
Choi, Yumi
Connolly, Andrew
Dai, Mi
Daly, Philip N.
Daruich, Felipe
Daubard, Guillaume
Delgado, Francisco
Drass, Holger
Alvarez, Gloria Fonseca
Gangler, Emmanuel
Guy, Leanne P.
Ivezić, Željko
Jammes, Fabrice
Jannuzi, Buell T.
Jenness, Tim
Jimenez, David
Jones, Derek T.
Jurić, Mario
Kahn, Steven M.
Kang, Yijung
Kannawadi, Arun
Kubica, Jeremy
Guillou, Laurent Le
Lynn, Olivia
Mandelbaum, Rachel
Moniez, Marc
Morrison, Christopher B.
McGuire, Sean
Ordenes, Ian E.
Patterson, Maria T.
Malagón, Andrés A. Plazas
Qiu, Yongqiang
Quint, Bruno
Radeka, Veljko
van Reeven, Wouter
Riot, Vincent J.
Sánchez, Bruno O.
Sanmartim, David
Sebag, Jacques
Shugart, Alysha
Sullivan, Ian S.
Taranu, Dan S.
Urbach, Elana K.
Wood-Vasey, W. M.
Zhang, Tianqing
Instrumentation and Methods for Astrophysics
Solar and Stellar Astrophysics
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.
title Variability-finding in Rubin Data Preview 1 with LSDB
topic Instrumentation and Methods for Astrophysics
Solar and Stellar Astrophysics
url https://arxiv.org/abs/2506.23955