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Probing the bias of radio sources at high redshift

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dc.contributor.author Passmoor, S
dc.contributor.author Cress, C
dc.contributor.author Faltenbacher, A
dc.contributor.author Johnston, R
dc.contributor.author Smith, M
dc.contributor.author Ratsimbazafy, A
dc.contributor.author Hoyle, B
dc.date.accessioned 2015-05-25T10:47:56Z
dc.date.available 2015-05-25T10:47:56Z
dc.date.issued 2012-11
dc.identifier.citation Passmoor, S, Cress, C, Faltenbacher, A, Johnston, R, Smith, M, Ratsimbazafy, A, Hoyle, B. 2012. Probing the bias of radio sources at high redshift. Monthly Notices of the Royal Astronomical Society, vol 429(3), pp 2183-2190 en_US
dc.identifier.issn 0035-8711
dc.identifier.uri http://hdl.handle.net/10204/7966
dc.description Copyright: 2012 Oxford University Press en_US
dc.description.abstract The relationship between the clustering of dark matter and that of luminous matter is often described using the bias parameter. Here, we provide a new method to probe the bias of intermediate-to-high-redshift radio continuum sources for which no redshift information is available. We matched radio sources from the Faint Images of the Radio Sky at Twenty centimetres survey data to their optical counterparts in the Sloan Digital Sky Survey to obtain photometric redshifts for the matched radio sources. We then use the publicly available semi-empirical simulation of extragalactic radio continuum sources (S3) to infer the redshift distribution for all FIRST sources and estimate the redshift distribution of unmatched sources by subtracting the matched distribution from the distribution of all sources. We infer that the majority of unmatched sources are at higher redshifts than the optically matched sources and demonstrate how the angular scales of the angular two-point correlation function can be used to probe different redshift ranges. We compare the angular clustering of radio sources with that expected for dark matter and estimate the bias of different samples. en_US
dc.language.iso en en_US
dc.publisher Oxford University Press en_US
dc.relation.ispartofseries Workflow;10445
dc.subject Data analysis en_US
dc.subject Statistical– astronomical data bases en_US
dc.subject Surveys en_US
dc.title Probing the bias of radio sources at high redshift en_US
dc.type Article en_US
dc.identifier.apacitation Passmoor, S., Cress, C., Faltenbacher, A., Johnston, R., Smith, M., Ratsimbazafy, A., & Hoyle, B. (2012). Probing the bias of radio sources at high redshift. http://hdl.handle.net/10204/7966 en_ZA
dc.identifier.chicagocitation Passmoor, S, C Cress, A Faltenbacher, R Johnston, M Smith, A Ratsimbazafy, and B Hoyle "Probing the bias of radio sources at high redshift." (2012) http://hdl.handle.net/10204/7966 en_ZA
dc.identifier.vancouvercitation Passmoor S, Cress C, Faltenbacher A, Johnston R, Smith M, Ratsimbazafy A, et al. Probing the bias of radio sources at high redshift. 2012; http://hdl.handle.net/10204/7966. en_ZA
dc.identifier.ris TY - Article AU - Passmoor, S AU - Cress, C AU - Faltenbacher, A AU - Johnston, R AU - Smith, M AU - Ratsimbazafy, A AU - Hoyle, B AB - The relationship between the clustering of dark matter and that of luminous matter is often described using the bias parameter. Here, we provide a new method to probe the bias of intermediate-to-high-redshift radio continuum sources for which no redshift information is available. We matched radio sources from the Faint Images of the Radio Sky at Twenty centimetres survey data to their optical counterparts in the Sloan Digital Sky Survey to obtain photometric redshifts for the matched radio sources. We then use the publicly available semi-empirical simulation of extragalactic radio continuum sources (S3) to infer the redshift distribution for all FIRST sources and estimate the redshift distribution of unmatched sources by subtracting the matched distribution from the distribution of all sources. We infer that the majority of unmatched sources are at higher redshifts than the optically matched sources and demonstrate how the angular scales of the angular two-point correlation function can be used to probe different redshift ranges. We compare the angular clustering of radio sources with that expected for dark matter and estimate the bias of different samples. DA - 2012-11 DB - ResearchSpace DP - CSIR KW - Data analysis KW - Statistical– astronomical data bases KW - Surveys LK - https://researchspace.csir.co.za PY - 2012 SM - 0035-8711 T1 - Probing the bias of radio sources at high redshift TI - Probing the bias of radio sources at high redshift UR - http://hdl.handle.net/10204/7966 ER - en_ZA


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