Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data
We present weak-lensing (WL) mass constraints for a sample of massive galaxy clusters detected by the South Pole Telescope (SPT) via the Sunyaev–Zel’dovich effect (SZE). We use griz imaging data obtained from the Science Verification (SV) phase of the Dark Energy Survey (DES) to fit the WL shear sig...
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Online Access: | http://raiith.iith.ac.in/6632/ https://doi.org/10.1093/mnras/stz234 |
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ftiith:oai:raiith.iith.ac.in:6632 2023-05-15T18:23:02+02:00 Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data Desai, Shantanu Stern, C 2019 http://raiith.iith.ac.in/6632/ https://doi.org/10.1093/mnras/stz234 unknown Oxford University Press (OUP) Desai, Shantanu and Stern, C and et al, . (2019) Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data. Monthly Notices of the Royal Astronomical Society, 485 (1). pp. 69-87. ISSN 0035-8711 Physics Article PeerReviewed 2019 ftiith https://doi.org/10.1093/mnras/stz234 2022-09-28T08:35:49Z We present weak-lensing (WL) mass constraints for a sample of massive galaxy clusters detected by the South Pole Telescope (SPT) via the Sunyaev–Zel’dovich effect (SZE). We use griz imaging data obtained from the Science Verification (SV) phase of the Dark Energy Survey (DES) to fit the WL shear signal of 33 clusters in the redshift range 0.25 ≤ z ≤ 0.8 with NFW profiles and to constrain a four-parameter SPT mass–observable relation. To account for biases in WL masses, we introduce a WL mass to true mass scaling relation described by a mean bias and an intrinsic, lognormal scatter. We allow for correlated scatter within the WL and SZE mass–observable relations and use simulations to constrain priors on nuisance parameters related to bias and scatter from WL. We constrain the normalization of the ζ−M500 relation, ASZ=12.0+2.6−6.7 when using a prior on the mass slope BSZ from the latest SPT cluster cosmology analysis. Without this prior, we recover ASZ=10.8+2.3−5.2 and BSZ=1.30+0.22−0.44. Results in both cases imply lower cluster masses than measured in previous work with and without WL, although the uncertainties are large. The WL derived value of BSZ is ≈20 per cent lower than the value preferred by the most recent SPT cluster cosmology analysis. The method demonstrated in this work is designed to constrain cluster masses and cosmological parameters simultaneously and will form the basis for subsequent studies that employ the full SPT cluster sample together with the DES data. Article in Journal/Newspaper South pole Research Archive of Indian Institute of Technology, Hyderabad (RAIITH) South Pole Monthly Notices of the Royal Astronomical Society 485 1 69 87 |
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Research Archive of Indian Institute of Technology, Hyderabad (RAIITH) |
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Physics |
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Physics Desai, Shantanu Stern, C Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data |
topic_facet |
Physics |
description |
We present weak-lensing (WL) mass constraints for a sample of massive galaxy clusters detected by the South Pole Telescope (SPT) via the Sunyaev–Zel’dovich effect (SZE). We use griz imaging data obtained from the Science Verification (SV) phase of the Dark Energy Survey (DES) to fit the WL shear signal of 33 clusters in the redshift range 0.25 ≤ z ≤ 0.8 with NFW profiles and to constrain a four-parameter SPT mass–observable relation. To account for biases in WL masses, we introduce a WL mass to true mass scaling relation described by a mean bias and an intrinsic, lognormal scatter. We allow for correlated scatter within the WL and SZE mass–observable relations and use simulations to constrain priors on nuisance parameters related to bias and scatter from WL. We constrain the normalization of the ζ−M500 relation, ASZ=12.0+2.6−6.7 when using a prior on the mass slope BSZ from the latest SPT cluster cosmology analysis. Without this prior, we recover ASZ=10.8+2.3−5.2 and BSZ=1.30+0.22−0.44. Results in both cases imply lower cluster masses than measured in previous work with and without WL, although the uncertainties are large. The WL derived value of BSZ is ≈20 per cent lower than the value preferred by the most recent SPT cluster cosmology analysis. The method demonstrated in this work is designed to constrain cluster masses and cosmological parameters simultaneously and will form the basis for subsequent studies that employ the full SPT cluster sample together with the DES data. |
format |
Article in Journal/Newspaper |
author |
Desai, Shantanu Stern, C |
author_facet |
Desai, Shantanu Stern, C |
author_sort |
Desai, Shantanu |
title |
Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data |
title_short |
Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data |
title_full |
Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data |
title_fullStr |
Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data |
title_full_unstemmed |
Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data |
title_sort |
weak-lensing analysis of spt-selected galaxy clusters using dark energy survey science verification data |
publisher |
Oxford University Press (OUP) |
publishDate |
2019 |
url |
http://raiith.iith.ac.in/6632/ https://doi.org/10.1093/mnras/stz234 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_relation |
Desai, Shantanu and Stern, C and et al, . (2019) Weak-lensing analysis of SPT-selected galaxy clusters using Dark Energy Survey Science Verification data. Monthly Notices of the Royal Astronomical Society, 485 (1). pp. 69-87. ISSN 0035-8711 |
op_doi |
https://doi.org/10.1093/mnras/stz234 |
container_title |
Monthly Notices of the Royal Astronomical Society |
container_volume |
485 |
container_issue |
1 |
container_start_page |
69 |
op_container_end_page |
87 |
_version_ |
1766202452435009536 |