Standard
Statistical issues in galaxy cluster cosmology. / Mantz, Adam; Allen, Steven W.; Rapetti Serra, David Angelo.
Information Systems Development: Reflections, Challenges and New Directions. red. / R. Pooley,; J. Coady; . Schneider; H. Linger; C. Barry; M. Lang. New York : Springer Science+Business Media, 2013. s. 527-529.
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Mantz, A, Allen, SW & Rapetti Serra, DA 2013,
Statistical issues in galaxy cluster cosmology. i R Pooley, J Coady Schneider, H Linger, C Barry & M Lang (red),
Information Systems Development: Reflections, Challenges and New Directions. Springer Science+Business Media, New York, s. 527-529, International Conference on Information Systems Development, Edinburgh, Storbritannien,
24/08/2011.
https://doi.org/10.1007/978-1-4614-3520-4_59APA
Mantz, A., Allen, S. W., & Rapetti Serra, D. A. (2013).
Statistical issues in galaxy cluster cosmology. I R. Pooley, J. Coady, . Schneider, H. Linger, C. Barry, & M. Lang (red.),
Information Systems Development: Reflections, Challenges and New Directions (s. 527-529). Springer Science+Business Media.
https://doi.org/10.1007/978-1-4614-3520-4_59Vancouver
Mantz A, Allen SW, Rapetti Serra DA.
Statistical issues in galaxy cluster cosmology. I Pooley, R, Coady J, Schneider, Linger H, Barry C, Lang M, red., Information Systems Development: Reflections, Challenges and New Directions. New York: Springer Science+Business Media. 2013. s. 527-529
https://doi.org/10.1007/978-1-4614-3520-4_59Author
Mantz, Adam ; Allen, Steven W. ; Rapetti Serra, David Angelo. / Statistical issues in galaxy cluster cosmology. Information Systems Development: Reflections, Challenges and New Directions. red. / R. Pooley, ; J. Coady ; . Schneider ; H. Linger ; C. Barry ; M. Lang. New York : Springer Science+Business Media, 2013. s. 527-529
Bibtex
@inproceedings{39049c50374e4318b4aa193fb7664d94,
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}",
year = "2013",
month = dec,
day = "1",
doi = "10.1007/978-1-4614-3520-4_59",
language = "English",
isbn = "9781461449508",
pages = "527--529",
editor = "R. Pooley, and J. Coady and . Schneider and H. Linger and C. Barry and M. Lang",
booktitle = "Information Systems Development",
publisher = "Springer Science+Business Media",
address = "Singapore",
note = "null ; Conference date: 24-08-2011 Through 26-08-2011",
}
RIS
TY - GEN
T1 - Statistical issues in galaxy cluster cosmology
AU - Mantz, Adam
AU - Allen, Steven W.
AU - Rapetti Serra, David Angelo
N1 - Conference code: 20
PY - 2013/12/1
Y1 - 2013/12/1
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.
U2 - 10.1007/978-1-4614-3520-4_59
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
Y2 - 24 August 2011 through 26 August 2011
ER -
