From the 1 of 13 linked papers with an AI index.
2 citations · 2 across the 4 of their papers we have counts for
13 papers
Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale
Sydney Erickson, Martin Millon, Padmavathi Venkatraman +12
The paper presents a scalable hierarchical inference framework to jointly analyze hundreds of strongly lensed AGN time delays from LSST, forecasting a ~2.5% measurement of H0 and a…
An overview of stray light findings and interpretation during on-sky commissioning of LSSTCam
Gabriele Rodeghiero, Alex Drlica-Wagner, Alessio Taranto +78
Wide-field telescopes are intrinsically difficult to shield from unwanted stray and scattered light, while the search to identify sources of contaminating light is frequently a cha…
Mechanical Studies of an Additional Light Baffle for the LSST Camera
Hannah Mary Margaret Pollek, Gabriele Rodeghiero, John Andrew +11
Commissioning the NSF-DOE Vera C. Rubin Observatory consisted of engineering operation and on-sky data-taking, initially with the Commissioning Camera followed by the commissioning…
The On-Sky Performance of the LSST Camera CCD Array
Sean Patrick MacBride, Aaron Roodman, Stuart Marshall +89
The focal plane of the LSST Camera contains 189 individual science CCDs, arranged into 21 raft tower modules, along with 4 wavefront and 8 guider CCDs located in 4 additional corne…
Modeling of the diffuse background produced by the Vera C. Rubin Observatory M2 baffle scattered light
Alessio Taranto, Gabriele Rodeghiero, Luca Rosignoli +58
The Vera C. Rubin Observatory, with its unprecedented field of view and fast focal ratio, will survey the entire sky every 3.5 nights. This unique capacity requires dealing with of…
Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics
J. Williamson, T. L. Makinen, N. Porqueres +85
We present cosmological constraints from the Dark Energy Survey Year 3 (DES Y3) weak lensing data using hierarchical hybrid statistics within a Bayesian simulation-based inference…