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The triply-ionized carbon forest from eBOSS: cosmological correlations with quasars in SDSS-IV DR14

We present measurements of the cross-correlation of the triply-ionized carbon (CIV) forest with quasars using Sloan Digital Sky Survey Data Release 14. The study exploits a large sample of new quasars from the first two years of observations by the Extended Baryon Oscillation Spectroscopic Survey (e...

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Published in:arXiv.org 2018-05
Main Authors: Blomqvist, Michael, Pieri, Matthew M, Hélion du Mas des Bourboux, Busca, Nicolás G, Slosar, Anže, Bautista, Julian E, Brinkmann, Jonathan, Brownstein, Joel R, Dawson, Kyle, Victoria de Sainte Agathe, Julien, Guy, Percival, Will J, Pérez-Ràfols, Ignasi, Rich, James, Schneider, Donald P
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creator Blomqvist, Michael
Pieri, Matthew M
Hélion du Mas des Bourboux
Busca, Nicolás G
Slosar, Anže
Bautista, Julian E
Brinkmann, Jonathan
Brownstein, Joel R
Dawson, Kyle
Victoria de Sainte Agathe
Julien, Guy
Percival, Will J
Pérez-Ràfols, Ignasi
Rich, James
Schneider, Donald P
description We present measurements of the cross-correlation of the triply-ionized carbon (CIV) forest with quasars using Sloan Digital Sky Survey Data Release 14. The study exploits a large sample of new quasars from the first two years of observations by the Extended Baryon Oscillation Spectroscopic Survey (eBOSS). The CIV forest is a weaker tracer of large-scale structure than the Ly\(\alpha\) forest, but benefits from being accessible at redshifts \(z
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The study exploits a large sample of new quasars from the first two years of observations by the Extended Baryon Oscillation Spectroscopic Survey (eBOSS). The CIV forest is a weaker tracer of large-scale structure than the Ly\(\alpha\) forest, but benefits from being accessible at redshifts \(z<2\) where the quasar number density from eBOSS is high. Our data sample consists of 287,651 CIV forest quasars in the redshift range \(1.4<z<3.5\) and 387,315 tracer quasars with \(1.2<z<3.5\). We measure large-scale correlations from CIV absorption occuring in three distinct quasar rest-frame wavelength bands of the spectra referred to as the CIV forest, the SiIV forest and the Ly\(\alpha\) forest. From the combined fit to the quasar-CIV cross-correlations for the CIV forest and the SiIV forest, the CIV redshift-space distortion parameter is \(\beta_{\rm CIV}=0.27_{\ -0.14}^{\ +0.16}\) and its combination with the CIV linear transmission bias parameter is \(b_{\rm CIV}(1+\beta_{\rm CIV})=-0.0183_{\ -0.0014}^{\ +0.0013}\) (\(1\sigma\) statistical error) at the mean redshift \(z=2.00\). Splitting the sample at \(z=2.2\) to constrain the bias evolution with redshift yields the power-law exponent \(\gamma=0.60\pm0.63\), indicating a significantly weaker redshift-evolution than for the Ly\(\alpha\) forest linear transmission bias. We demonstrate that CIV absorption has the potential to be used as a probe of baryon acoustic oscillations (BAO). While the current data set is insufficient for a detection of the BAO peak feature, the final quasar samples for redshifts \(1.4<z<2.2\) from eBOSS and the Dark Energy Spectroscopic Instrument (DESI) are expected to provide measurements of the isotropic BAO scale to \(\sim7\%\) and \(\sim3\%\) precision, respectively, at \(z\simeq1.6\).]]></description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.1801.01852</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Absorption ; Baryons ; Bias ; Carbon ; Correlation analysis ; Dark energy ; Evolution ; Forests ; Large scale structure of the universe ; Parameters ; Quasars ; Red shift ; Sky surveys (astronomy) ; Statistical methods</subject><ispartof>arXiv.org, 2018-05</ispartof><rights>2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). 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The study exploits a large sample of new quasars from the first two years of observations by the Extended Baryon Oscillation Spectroscopic Survey (eBOSS). The CIV forest is a weaker tracer of large-scale structure than the Ly\(\alpha\) forest, but benefits from being accessible at redshifts \(z<2\) where the quasar number density from eBOSS is high. Our data sample consists of 287,651 CIV forest quasars in the redshift range \(1.4<z<3.5\) and 387,315 tracer quasars with \(1.2<z<3.5\). We measure large-scale correlations from CIV absorption occuring in three distinct quasar rest-frame wavelength bands of the spectra referred to as the CIV forest, the SiIV forest and the Ly\(\alpha\) forest. From the combined fit to the quasar-CIV cross-correlations for the CIV forest and the SiIV forest, the CIV redshift-space distortion parameter is \(\beta_{\rm CIV}=0.27_{\ -0.14}^{\ +0.16}\) and its combination with the CIV linear transmission bias parameter is \(b_{\rm CIV}(1+\beta_{\rm CIV})=-0.0183_{\ -0.0014}^{\ +0.0013}\) (\(1\sigma\) statistical error) at the mean redshift \(z=2.00\). Splitting the sample at \(z=2.2\) to constrain the bias evolution with redshift yields the power-law exponent \(\gamma=0.60\pm0.63\), indicating a significantly weaker redshift-evolution than for the Ly\(\alpha\) forest linear transmission bias. We demonstrate that CIV absorption has the potential to be used as a probe of baryon acoustic oscillations (BAO). While the current data set is insufficient for a detection of the BAO peak feature, the final quasar samples for redshifts \(1.4<z<2.2\) from eBOSS and the Dark Energy Spectroscopic Instrument (DESI) are expected to provide measurements of the isotropic BAO scale to \(\sim7\%\) and \(\sim3\%\) precision, respectively, at \(z\simeq1.6\).]]></abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.1801.01852</doi><oa>free_for_read</oa></addata></record>
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subjects Absorption
Baryons
Bias
Carbon
Correlation analysis
Dark energy
Evolution
Forests
Large scale structure of the universe
Parameters
Quasars
Red shift
Sky surveys (astronomy)
Statistical methods
title The triply-ionized carbon forest from eBOSS: cosmological correlations with quasars in SDSS-IV DR14
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