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The catalog-to-cosmology framework for weak lensing and galaxy clustering for LSST

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arxiv 2212.09345 v2 pith:XZYCV5JC submitted 2022-12-19 astro-ph.CO

classification astro-ph.CO
keywords pipelinelsstdataanalysisgalaxytxpipeclusteringcosmology
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We present TXPipe, a modular, automated and reproducible pipeline for ingesting catalog data and performing all the calculations required to obtain quality-assured two-point measurements of lensing and clustering, and their covariances, with the metadata necessary for parameter estimation. The pipeline is developed within the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC), and designed for cosmology analyses using LSST data. In this paper, we present the pipeline for the so-called 3x2pt analysis -- a combination of three two-point functions that measure the auto- and cross-correlation between galaxy density and shapes. We perform the analysis both in real and harmonic space using TXPipe and other LSST-DESC tools. We validate the pipeline using Gaussian simulations and show that it accurately measures data vectors and recovers the input cosmology to the accuracy level required for the first year of LSST data under this simplified scenario. We also apply the pipeline to a realistic mock galaxy sample extracted from the CosmoDC2 simulation suite (Korytov et al. 2019). TXPipe establishes a baseline framework that can be built upon as the LSST survey proceeds. Furthermore, the pipeline is designed to be easily extended to science probes beyond the 3x2pt analysis.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 6 citations worldwide. Full citation record

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

    astro-ph.CO 2025-09 conditional novelty 6.0 of 10

    A simulated-sky pipeline with six intrinsic-alignment and source-clustering models shows the delta-NLA model contaminates non-Gaussian cosmic shear probes most strongly, with underdense probes best able to distinguish models.

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