Pith. sign in

REVIEW 3 cited by

Variability-finding in Rubin Data Preview 1 with LSDB

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2506.23955 v2 pith:HEZ47ROP submitted 2025-06-30 astro-ph.IM astro-ph.SR

Variability-finding in Rubin Data Preview 1 with LSDB

Konstantin Malanchev , Melissa DeLucchi , Neven Caplar , Alex I. Malz , Anastasia Alexov , Eric Aubourg , Amanda E Bauer , Wilson Beebe
show 51 more authors
Eric C. Bellm Robert David Blum Doug Branton Sandro Campos Daniel Calabrese Jeffrey L. Carlin Yumi Choi Andrew Connolly Mi Dai Philip N. Daly Felipe Daruich Guillaume Daubard Francisco Delgado Holger Drass Gloria Fonseca Alvarez Emmanuel Gangler Leanne P. Guy \v{Z}eljko Ivezi\'c Fabrice Jammes Buell T. Jannuzi Tim Jenness David Jimenez Derek T. Jones Mario Juri\'c Steven M. Kahn Yijung Kang Arun Kannawadi Jeremy Kubica Laurent Le Guillou Olivia Lynn Rachel Mandelbaum Marc Moniez Christopher B. Morrison Sean McGuire Ian E. Ordenes Maria T. Patterson Andr\'es A. Plazas Malag\'on Yongqiang Qiu Bruno Quint Veljko Radeka Wouter van Reeven Vincent J. Riot Bruno O. S\'anchez David Sanmartim Jacques Sebag Alysha Shugart Ian S. Sullivan Dan S. Taranu Elana K. Urbach W. M. Wood-Vasey Tianqing Zhang
This is my paper
classification astro-ph.IM astro-ph.SR
keywords datalsstlsdbvariability-findingdiscoverieshatsinfrastructurepair
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
read the original abstract

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.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Hyrax: An Extensible Framework for Rapid ML Experimentation and Unsupervised Discovery in the Era of Rubin, Roman, and Euclid

    astro-ph.IM 2026-05 unverdicted novelty 5.0

    Hyrax is a GPU-enabled open-source framework for the full ML lifecycle in astronomy, with demonstrations of unsupervised discovery and classification on real survey data from Rubin, ZTF, and other projects.

  2. Searching for Ultracool Dwarfs in Early LSST Data Products

    astro-ph.SR 2026-04 conditional novelty 5.0

    Early LSST data recovers known ultracool dwarfs and yields 89 candidates with 17 unique to this work, forecasting over 17,000 detections in Data Preview 2 using synthetic populations.

  3. Exploring RR Lyrae Variable Stars in the Vera C. Rubin Observatory Data Preview 1

    astro-ph.SR 2026-05 unverdicted novelty 4.0

    Analysis of ~600 RR Lyrae in DP1 shows PWZ-based distances match literature (mean offset 0.01 mag) while PLZ distances are systematically larger and amplitudes mismatch evolved models, due to limited light-curve sampling.