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arXiv · 2509.07268

Cluster Catalog Validation with Multiwavelength Data

Ethan K. Steelberg·Tesla E. Jeltema·Jackson H. O'Donnell·Rance Solomon·The LSST Dark Energy Science Collaboration
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Abstract

The Legacy Survey of Space and Time (LSST) will provide a ground-breaking data set for cosmology, but to achieve the precision needed, the data, data reduction, and algorithms measuring the cosmological data vectors must be thoroughly validated and calibrated. In this note, we focus on clusters of galaxies and present a set of validation tests for optical cluster finding algorithms through comparison to X-ray and Sunyaev-Zel'dovich effect cluster catalogs. As an example, we apply our pipeline to compare the performance of the redMaPPer (red-sequence Matched filter Probabilistic Percolation) and WaZP (Wavelet Z Photometric) cluster finding algorithms on Dark Energy Survey (DES) data.

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Ethan K. Steelberg, Tesla E. Jeltema, Jackson H. O'Donnell, Rance Solomon, The LSST Dark Energy Science Collaboration. 2025-09-08. Cluster Catalog Validation with Multiwavelength Data. https://arxiv.org/abs/2509.07268

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