6 papers
Fisher Forecasting for the DESC with
Paul Rogozenski, Sankarshana Srinivasan, Javier Sánchez +18
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) has begun its ten-year survey of the entire visible southern hemisphere. To ensure robust cosmological measurem…
Smokescreen: A Python package for data vector blinding and encryption in cosmological analyses
Arthur Loureiro, Jessica Muir, Jonathan Blazek +10
Smokescreen is an open-source Python library for data-vector concealment (blinding) in cosmological analyses. Data-vector blinding works by applying cosmology-dependent shifts to t…
Meta-learning for cosmological emulation: Rapid adaptation to new lensing kernels
Charlie MacMahon-Gellér, C. Danielle Leonard, Philip Bull +1
Theoretical computation of cosmological observables is an intensive process, restricting the speed at which cosmological data can be analysed and cosmological models constrained, a…
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz +63
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that cha…
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…
Joint Modelling of Astrophysical Systematics for Cosmology with LSST Cosmic Shear
Nikolina Å arÄeviÄ, C. Danielle Leonard, Markus M. Rau +1
We present a novel framework for jointly modelling the weak lensing source galaxy redshift distribution and the intrinsic alignment of galaxies via a shared luminosity function (LF…