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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

The ALHAMBRA survey: Estimation of the clustering signal encoded in the cosmic variance

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Autor(es):
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Lopez-Sanjuan, C. [1] ; Cenarro, A. J. [1] ; Hernandez-Monteagudo, C. [1] ; Arnalte-Mur, P. [2] ; Varela, J. [1] ; Viironen, K. [1] ; Fernandez-Soto, A. [3, 4] ; Martinez, V. J. [2, 4, 5] ; Alfaro, E. [6] ; Ascaso, B. [7] ; del Olmo, A. [6] ; Diaz-Garcia, L. A. ; Hurtado-Gil, Ll. [3, 2] ; Moles, M. [1, 6] ; Molino, A. [8, 6] ; Perea, J. [6] ; Povic, M. [6] ; Aguerri, J. A. L. [9, 10] ; Aparicio-Villegas, T. [6, 11] ; Benitez, N. [6] ; Broadhurst, T. [12, 13] ; Cabrera-Cano, J. [14] ; Castander, F. J. [15] ; Cepa, J. [9, 10] ; Cervino, M. [9, 6, 10] ; Cristobal-Hornillos, D. [1] ; Gonzalez Delgado, R. M. [6] ; Husillos, C. [6] ; Infante, L. [16] ; Marquez, I. [6] ; Masegosa, J. [6] ; Prada, F. [6, 17, 18] ; Quintana, J. M. [6]
Número total de Autores: 33
Afiliação do(s) autor(es):
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[1] Ctr Estudios Fis Cosmos Aragon, Teruel 44001 - Spain
[2] Univ Valencia, Observ Astron, Paterna 46980 - Spain
[3] Inst Fis Cantabria CSIC UC, Santander 39005 - Spain
[4] Unidad Asociada Observ Astron IFCA UV, Paterna 46980 - Spain
[5] Univ Valencia, Dept Astron & Astrofis, E-46100 Burjassot - Spain
[6] CSIC, IAA, E-18008 Granada - Spain
[7] Univ Paris Diderot, GEPI, Observ Paris, CNRS, F-75014 Paris - France
[8] Univ Sao Paulo, Inst Astron Geofis & Ciencias Atmosfer, BR-05508090 Sao Paulo - Brazil
[9] Inst Astrofis Canarias, Tenerife 38200 - Spain
[10] Univ La Laguna, Dept Astrofis, Fac Fis, San Cristobal la Laguna 38206 - Spain
[11] Observ Nacl MCT, BR-20921400 Rio De Janeiro, RJ - Brazil
[12] Basque Fdn Sci, Ikerbasque, Bilbao 48013 - Spain
[13] Univ Basque Country UPV EHU, Dept Theoret Phys, Bilbao 48080 - Spain
[14] Univ Seville, Dept Fis Atom Mol & Nucl, Fac Fis, E-41012 Seville - Spain
[15] CSIC, Inst Ciencies Espai IEEC, Fac Ciencies, Bellaterra 08193 - Spain
[16] Pontificia Univ Catolica Chile, Dept Astron, Santiago 7820436 - Chile
[17] Univ Autonoma Madrid, Inst Fis Teor, CSIC, E-28049 Madrid - Spain
[18] Univ Autonoma Madrid, CSIC, E-28049 Madrid - Spain
Número total de Afiliações: 18
Tipo de documento: Artigo Científico
Fonte: Astronomy & Astrophysics; v. 582, OCT 2015.
Citações Web of Science: 4
Resumo

Aims. The relative cosmic variance (sigma(v)) is a fundamental source of uncertainty in pencil-beam surveys and, as a particular case of count-in-cell statistics, can be used to estimate the bias between galaxies and their underlying dark-matter distribution. Our goal is to test the significance of the clustering information encoded in the sigma(v) measured in the ALHAMBRA survey. Methods. We measure the cosmic variance of several galaxy populations selected with B-band luminosity at 0.35 <= z < 1.05 as the intrinsic dispersion in the number density distribution derived from the 48 ALHAMBRA subfields. We compare the observational sigma(v) with the cosmic variance of the dark matter expected from the theory, sigma(v,dm). This provides an estimation of the galaxy bias b. Results. The galaxy bias from the cosmic variance is in excellent agreement with the bias estimated by two-point correlation function analysis in ALHAMBRA. This holds for different redshift bins, for red and blue subsamples, and for several B-band luminosity selections. We find that b increases with the B-band luminosity and the redshift, as expected from previous work. Moreover, red galaxies have a larger bias than blue galaxies, with a relative bias of b(rel) = 1.4 +/- 0.2. Conclusions. Our results demonstrate that the cosmic variance measured in ALHAMBRA is due to the clustering of galaxies and can be used to characterise the sigma(v) affecting pencil-beam surveys. In addition, it can also be used to estimate the galaxy bias b from a method independent of correlation functions. (AU)

Processo FAPESP: 14/11806-9 - Desafios para a nova geração de mapeamentos fotométricos de grande campo como o J-PAS
Beneficiário:Alberto Molino Benito
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado