Characterizing the SPT cluster selection function ...
Sunyaev-Zel'dovich Effect (SZE) experiments such as the South Pole Telescope (SPT) are currently surveying a large area of sky searching for clusters via their imprint on the CMB. In order to use the resulting cluster catalogues for cosmology, it is necessary to know the mass- and redshift-depe...
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2009
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Online Access: | https://dx.doi.org/10.48660/09040040 https://pirsa.org/09040040 |
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ftdatacite:10.48660/09040040 2024-03-31T07:55:23+00:00 Characterizing the SPT cluster selection function ... 2009 video/mp4 https://dx.doi.org/10.48660/09040040 https://pirsa.org/09040040 en eng Perimeter Institute Cosmology Audiovisual Video Recording article MediaObject 2009 ftdatacite https://doi.org/10.48660/09040040 2024-03-04T13:29:47Z Sunyaev-Zel'dovich Effect (SZE) experiments such as the South Pole Telescope (SPT) are currently surveying a large area of sky searching for clusters via their imprint on the CMB. In order to use the resulting cluster catalogues for cosmology, it is necessary to know the mass- and redshift-dependent cluster selection function. I will describe ongoing work to understand and characterize the current SPT cluster yield, using synthetic SZ sky maps constructed from cosmological simulations and noise models calibrated against SPT data. ... Article in Journal/Newspaper South pole DataCite Metadata Store (German National Library of Science and Technology) South Pole |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Cosmology |
spellingShingle |
Cosmology Characterizing the SPT cluster selection function ... |
topic_facet |
Cosmology |
description |
Sunyaev-Zel'dovich Effect (SZE) experiments such as the South Pole Telescope (SPT) are currently surveying a large area of sky searching for clusters via their imprint on the CMB. In order to use the resulting cluster catalogues for cosmology, it is necessary to know the mass- and redshift-dependent cluster selection function. I will describe ongoing work to understand and characterize the current SPT cluster yield, using synthetic SZ sky maps constructed from cosmological simulations and noise models calibrated against SPT data. ... |
format |
Article in Journal/Newspaper |
title |
Characterizing the SPT cluster selection function ... |
title_short |
Characterizing the SPT cluster selection function ... |
title_full |
Characterizing the SPT cluster selection function ... |
title_fullStr |
Characterizing the SPT cluster selection function ... |
title_full_unstemmed |
Characterizing the SPT cluster selection function ... |
title_sort |
characterizing the spt cluster selection function ... |
publisher |
Perimeter Institute |
publishDate |
2009 |
url |
https://dx.doi.org/10.48660/09040040 https://pirsa.org/09040040 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_doi |
https://doi.org/10.48660/09040040 |
_version_ |
1795037206030581760 |