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SPT clusters with DES and HST weak lensing. I. Cluster lensing and Bayesian population modeling of multi-wavelength cluster datasets

SPT clusters with DES and HST weak lensing. I. Cluster lensing and Bayesian population modeling of multi-wavelength cluster datasets
SPT clusters with DES and HST weak lensing. I. Cluster lensing and Bayesian population modeling of multi-wavelength cluster datasets
We present a Bayesian population modeling method to analyze the abundance of galaxy clusters identified by the South Pole Telescope (SPT) with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). We discuss and validate the modeling choices with a particular focus on a robust, weak-lensing-based mass calibration using DES data. For the DES Year 3 data, we report a systematic uncertainty in weak-lensing mass calibration that increases from 1\% at z=0.25 to 10\% at z=0.95, to which we add 2\% in quadrature to account for uncertainties in the impact of baryonic effects. We implement an analysis pipeline that joins the cluster abundance likelihood with a multi-observable likelihood for the SZ, optical richness, and weak-lensing measurements for each individual cluster. We validate that our analysis pipeline can recover unbiased cosmological constraints by analyzing mocks that closely resemble the cluster sample extracted from the SPT-SZ, SPTpol~ECS, and SPTpol~500d surveys and the DES Year~3 and HST-39 weak-lensing datasets. This work represents a crucial prerequisite for the subsequent cosmological analysis of the real dataset.
astro-ph.CO
Bocquet, S.
8a92384f-6e1b-47ac-ba89-a843b73d434b
Grandis, S.
d6bad66d-2e23-4865-97c4-557c2ccc3a0a
Bleem, L.E.
7a132706-7602-468a-85d1-dd81085cc5bf
Smith, M.
8bdc74e1-a37b-434d-ae75-82763109bf7a
Wiseman, P.
865f95f8-2200-46a8-bd5e-3ee30bb44072
The Dark Energy Survey Collaboration
The South Pole Telescope Collaboration
Bocquet, S.
8a92384f-6e1b-47ac-ba89-a843b73d434b
Grandis, S.
d6bad66d-2e23-4865-97c4-557c2ccc3a0a
Bleem, L.E.
7a132706-7602-468a-85d1-dd81085cc5bf
Smith, M.
8bdc74e1-a37b-434d-ae75-82763109bf7a
Wiseman, P.
865f95f8-2200-46a8-bd5e-3ee30bb44072

[Unknown type: UNSPECIFIED]

Record type: UNSPECIFIED

Abstract

We present a Bayesian population modeling method to analyze the abundance of galaxy clusters identified by the South Pole Telescope (SPT) with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). We discuss and validate the modeling choices with a particular focus on a robust, weak-lensing-based mass calibration using DES data. For the DES Year 3 data, we report a systematic uncertainty in weak-lensing mass calibration that increases from 1\% at z=0.25 to 10\% at z=0.95, to which we add 2\% in quadrature to account for uncertainties in the impact of baryonic effects. We implement an analysis pipeline that joins the cluster abundance likelihood with a multi-observable likelihood for the SZ, optical richness, and weak-lensing measurements for each individual cluster. We validate that our analysis pipeline can recover unbiased cosmological constraints by analyzing mocks that closely resemble the cluster sample extracted from the SPT-SZ, SPTpol~ECS, and SPTpol~500d surveys and the DES Year~3 and HST-39 weak-lensing datasets. This work represents a crucial prerequisite for the subsequent cosmological analysis of the real dataset.

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2310.12213v1 - Author's Original
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e-pub ahead of print date: 18 October 2023
Additional Information: submitted to PRD
Keywords: astro-ph.CO

Identifiers

Local EPrints ID: 484630
URI: http://eprints.soton.ac.uk/id/eprint/484630
PURE UUID: b7542c20-0f92-4c73-a6b5-414133bc52c5
ORCID for M. Smith: ORCID iD orcid.org/0000-0002-3321-1432
ORCID for P. Wiseman: ORCID iD orcid.org/0000-0002-3073-1512

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Date deposited: 17 Nov 2023 18:10
Last modified: 18 Mar 2024 03:43

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Contributors

Author: S. Bocquet
Author: S. Grandis
Author: L.E. Bleem
Author: M. Smith ORCID iD
Author: P. Wiseman ORCID iD
Corporate Author: The Dark Energy Survey Collaboration
Corporate Author: The South Pole Telescope Collaboration

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