Kavli Affiliate: James Chiang
| First 5 Authors: F. Javier Sánchez, Chris W. Walter, Humna Awan, James Chiang, Scott F. Daniel
| Summary:
Data Challenge 1 (DC1) is the first synthetic dataset produced by the Rubin
Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science
Collaboration (DESC). DC1 is designed to develop and validate data reduction
and analysis and to study the impact of systematic effects that will affect the
LSST dataset. DC1 is comprised of $r$-band observations of 40 deg$^{2}$ to
10-year LSST depth. We present each stage of the simulation and analysis
process: a) generation, by synthesizing sources from cosmological N-body
simulations in individual sensor-visit images with different observing
conditions; b) reduction using a development version of the LSST Science
Pipelines; and c) matching to the input cosmological catalog for validation and
testing. We verify that testable LSST requirements pass within the fidelity of
DC1. We establish a selection procedure that produces a sufficiently clean
extragalactic sample for clustering analyses and we discuss residual sample
contamination, including contributions from inefficiency in star-galaxy
separation and imperfect deblending. We compute the galaxy power spectrum on
the simulated field and conclude that: i) survey properties have an impact of
50% of the statistical uncertainty for the scales and models used in DC1 ii) a
selection to eliminate artifacts in the catalogs is necessary to avoid biases
in the measured clustering; iii) the presence of bright objects has a
significant impact (2- to 6-$sigma$) in the estimated power spectra at small
scales ($ell > 1200$), highlighting the impact of blending in studies at small
angular scales in LSST;
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