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20232026
most citedPredictions of the LSST Solar System Yield: Near-Earth Objects, Main Belt Asteroids, Jupiter Trojans, and Trans-Neptunian Objects

39 citations · 63 across the 14 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

astro-ph.EP2025

Predictions of the LSST Solar System Yield: Neptune Trojans

Joseph Murtagh, Megan E. Schwamb, Pedro H. Bernardinelli +15

The NSF-DOE Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), beginning full operations in late 2025, will dramatically transform solar system science by vastly e…

astro-ph.EP2025

Rotational Light-curve Recovery and Predictions of the LSST Yield of Hildas

Alexander J. Fleming, Jacob A. Kurlander, Dmitrii E. Vavilov +4

The Hilda population occupies the stable 3:2 mean-motion resonance of Jupiter and provides a window into solar system evolution, including collisional processes. The National Scien…

astro-ph.EP2025★ 39 cited

Predictions of the LSST Solar System Yield: Near-Earth Objects, Main Belt Asteroids, Jupiter Trojans, and Trans-Neptunian Objects

Jacob A. Kurlander, Pedro H. Bernardinelli, Megan E. Schwamb +18

The NSF-DOE Vera C. Rubin Observatory is a new 8m-class survey facility presently being commissioned in Chile, expected to begin the 10yr-long Legacy Survey of Space and Time (LSST…

astro-ph.EP2025

Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time

Stephanie R. Merritt, Grigori Fedorets, Megan E. Schwamb +20

The upcoming Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory is expected to revolutionize solar system astronomy. Unprecedented in scale, this ten-year wide…

astro-ph.SR2025★ 2 cited

PhotoD with LSST: Stellar Photometric Distances Out to the Edge of the Galaxy

Lovro Palaversa, Željko Ivezić, Neven Caplar +14

As demonstrated with the Sloan Digital Sky Survey (SDSS), Pan-STARRS, and most recently with Gaia data, broadband near-UV to near-IR stellar photometry can be used to estimate dist…

astro-ph.IM2025★ 1 cited

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…