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most citedOptical Counterparts to X-ray sources in LSST DP1

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8 papers

astro-ph.HE20261 cited

Optical Counterparts to X-ray sources in LSST DP1

Yuankun, Wang, Eric C. Bellm +9

The paper crossmatches a combined X‑ray source catalog with the Vera C. Rubin Observatory LSST Data Preview 1 to identify optical counterparts across six fields, reporting 2314 mat…

astro-ph.IM2026

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

Aritra Ghosh, Drew Oldag, Michael Tauraso +29

The NSF-DOE Vera C. Rubin Observatory, Roman Space Telescope, Euclid, and other next-generation surveys will deliver imaging, spectroscopic, and time-domain data at scales that inc…

astro-ph.GA2025

photoD with Rubin's Data Preview 1: first stellar photometric distances and deficit of faint blue stars. Stellar distances with Rubin's DP1

L. Palaversa, E. Donev, Ž. Ivezić +96

Aims: We investigate the utility of Rubin's Data Preview 1 for estimating stellar number density profile in the Milky Way halo. Methods: Stellar broad-band near-UV to near-IR $ugri…

astro-ph.IM2025

Using LSDB to enable large-scale catalog distribution, cross-matching, and analytics

Neven Caplar, Wilson Beebe, Doug Branton +9

The Vera C. Rubin Observatory will generate an unprecedented volume of data, including approximately 60 petabytes of raw data and around 30 trillion observed sources, posing a sign…

astro-ph.SR2025

A Systematic Search for Main-Sequence Dipper Stars Using the Zwicky Transient Facility

Anastasios Tzanidakis, James R. A. Davenport, Neven Caplar +8

Main-sequence dipper stars, characterized by irregular and often aperiodic luminosity dimming events, offer a unique opportunity to explore the variability of circumstellar materia…

astro-ph.IM2025

Variability-finding in Rubin Data Preview 1 with LSDB

Konstantin Malanchev, Melissa DeLucchi, Neven Caplar +56

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 t…