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20242026
most citedThe Vera C. Rubin Observatory Data Preview 1

14 citations · 26 across the 12 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

astro-ph.GA2025

Improved photometric redshift estimations through self-organising map-based data augmentation

Yun-Hao Zhang, Joe Zuntz, Irene Moskowitz +8

We introduce a framework for the enhanced estimation of photometric redshifts using Self-Organising Maps (SOMs). Our method projects galaxy Spectral Energy Distributions (SEDs) ont…

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…

astro-ph.CO2025

Forecasting the Impact of Source Galaxy Photometric Redshift Uncertainties on the LSST pt Analysis

Tianqing Zhang, Husni Almoubayyed, Rachel Mandelbaum +7

Photometric redshifts of the source galaxies are a key source of systematic uncertainty in the Rubin Observatory Legacy Survey of Space and Time (LSST)'s galaxy clustering and weak…

astro-ph.CO2025

Reanalysis of Stage-III cosmic shear surveys: A comprehensive study of shear diagnostic tests

Jazmine Jefferson, Yuuki Omori, Chihway Chang +12

In recent years, shear catalogs have been released by various Stage-III weak lensing surveys including the Kilo-Degree Survey, the Dark Energy Survey, and the Hyper Suprime-Cam Sub…

astro-ph.IM2025★ 2 cited

Redshift Assessment Infrastructure Layers (RAIL): Rubin-era photometric redshift stress-testing and at-scale production

The RAIL Team, Jan Luca van den Busch, Eric Charles +30

Virtually all extragalactic use cases of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) require the use of galaxy redshift information, yet the vast majorit…

astro-ph.IM2025★ 2 cited

Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions

Aakash Patel, Tianqing Zhang, Camille Avestruz +2

Neural posterior estimation (NPE), a type of amortized variational inference, is a computationally efficient means of constructing probabilistic catalogs of light sources from astr…