Statistical issues in galaxy cluster cosmology

Adam Mantz; Steven W. Allen; David Angelo Rapetti Serra

doi:10.1007/978-1-4614-3520-4_59

Statistical issues in galaxy cluster cosmology

Adam Mantz^*, Steven W. Allen, David Angelo Rapetti Serra

^*Corresponding author for this work

DARK

Abstract

The number and growth of massive galaxy clusters is a sensitive probe of cosmological structure formation and dark energy. Surveys at various wavelengths can detect clusters to high redshift, but the fact that cluster mass is not directly observable complicates matters, requiring us to simultaneously constrain scaling relations of observable signals with mass. The problem can be cast in the form of a regression, in which the data set is truncated, the (cosmology-dependent) underlying population must be modeled, and strong, complex correlations between measurements often exist.

Original language	English
Title of host publication	Information Systems Development : Reflections, Challenges and New Directions
Editors	R. Pooley, J. Coady, . Schneider, H. Linger, C. Barry, M. Lang
Number of pages	3
Place of Publication	New York
Publisher	Springer Science+Business Media
Publication date	1 Dec 2013
Pages	527-529
ISBN (Print)	9781461449508
DOIs	https://doi.org/10.1007/978-1-4614-3520-4_59
Publication status	Published - 1 Dec 2013
Event	International Conference on Information Systems Development: Reflections, Challenges and New Directions - Edinburgh, United Kingdom Duration: 24 Aug 2011 → 26 Aug 2011 Conference number: 20

Conference

Conference	International Conference on Information Systems Development
Number	20
Country/Territory	United Kingdom
City	Edinburgh
Period	24/08/2011 → 26/08/2011

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Statistical issues in galaxy cluster cosmology. / Mantz, Adam; Allen, Steven W.; Rapetti Serra, David Angelo.

Information Systems Development: Reflections, Challenges and New Directions. ed. / R. Pooley,; J. Coady; . Schneider; H. Linger; C. Barry; M. Lang. New York : Springer Science+Business Media, 2013. p. 527-529.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Mantz, A, Allen, SW & Rapetti Serra, DA 2013, Statistical issues in galaxy cluster cosmology. in R Pooley, J Coady Schneider, H Linger, C Barry & M Lang (eds), Information Systems Development: Reflections, Challenges and New Directions. Springer Science+Business Media, New York, pp. 527-529, International Conference on Information Systems Development, Edinburgh, United Kingdom, 24/08/2011. https://doi.org/10.1007/978-1-4614-3520-4_59

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title = "Statistical issues in galaxy cluster cosmology",

abstract = "The number and growth of massive galaxy clusters is a sensitive probe of cosmological structure formation and dark energy. Surveys at various wavelengths can detect clusters to high redshift, but the fact that cluster mass is not directly observable complicates matters, requiring us to simultaneously constrain scaling relations of observable signals with mass. The problem can be cast in the form of a regression, in which the data set is truncated, the (cosmology-dependent) underlying population must be modeled, and strong, complex correlations between measurements often exist.",

author = "Adam Mantz and Allen, {Steven W.} and {Rapetti Serra}, {David Angelo}",

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AU - Rapetti Serra, David Angelo

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N2 - The number and growth of massive galaxy clusters is a sensitive probe of cosmological structure formation and dark energy. Surveys at various wavelengths can detect clusters to high redshift, but the fact that cluster mass is not directly observable complicates matters, requiring us to simultaneously constrain scaling relations of observable signals with mass. The problem can be cast in the form of a regression, in which the data set is truncated, the (cosmology-dependent) underlying population must be modeled, and strong, complex correlations between measurements often exist.

AB - The number and growth of massive galaxy clusters is a sensitive probe of cosmological structure formation and dark energy. Surveys at various wavelengths can detect clusters to high redshift, but the fact that cluster mass is not directly observable complicates matters, requiring us to simultaneously constrain scaling relations of observable signals with mass. The problem can be cast in the form of a regression, in which the data set is truncated, the (cosmology-dependent) underlying population must be modeled, and strong, complex correlations between measurements often exist.

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DO - 10.1007/978-1-4614-3520-4_59

M3 - Article in proceedings

AN - SCOPUS:84894381113

SN - 9781461449508

SP - 527

EP - 529

BT - Information Systems Development

A2 - Pooley,, R.

A2 - Coady, J.

A2 - Schneider, .

A2 - Linger, H.

A2 - Barry, C.

A2 - Lang, M.

PB - Springer Science+Business Media

CY - New York

T2 - International Conference on Information Systems Development

Y2 - 24 August 2011 through 26 August 2011

ER -

Statistical issues in galaxy cluster cosmology

Abstract

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