output
20222026
most citedThe Vera C. Rubin Observatory Data Preview 1

14 citations

6 papers

astro-ph.IM2026★ 14 cited

The Vera C. Rubin Observatory Data Preview 1

Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325

We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…

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.CO2025

Non-linear infusion of intrinsic alignment and source clustering: impact on non-Gaussian cosmic shear statistics

J. Harnois-Déraps, N. Šarčević, L. Medina Varela +15

Intrinsic alignments (IA) of galaxies is one of the key secondary signals to cosmic shear measurements, and must be modeled to interpret weak lensing data and infer the correct cos…

astro-ph.IM2024

The impact of the site quality of the Zadko Observatory on its scientific results

Bruce Gendre, Richard Tonello, Mitchell Studdert +5

We present the site quality of the Zadko Observatory, focusing on the brightness of the sky and the effects of the weather on the efficiency of the Observatory. We discuss these ef…

q-bio.NC2024★ 2 cited

Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos

Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová +22

Understanding how biological visual systems process information is challenging because of the nonlinear relationship between visual input and neuronal responses. Artificial neural…

cs.CL2022★ 12 cited

Parameter-Efficient Abstractive Question Answering over Tables or Text

Vaishali Pal, Evangelos Kanoulas, Maarten de Rijke

A long-term ambition of information seeking QA systems is to reason over multi-modal contexts and generate natural answers to user queries. Today, memory intensive pre-trained lang…