We present a new determination of the large-scale clustering of the CIV
forest (i.e., the absorption due to all CIV absorbers) using its
cross-correlation with quasars in the Sloan Digital Sky Survey (SDSS) Data
Release 12 (DR12). We fit a linear bias model to the measured
cross-correlation. We find that the transmission bias of the CIV forest,
$b_Fc$, at a mean redshift of $z=2.3$, obeys the relation $(1+\beta_c)b_F c
= -0.024 0.003$. Here, $\beta_c$ is the linear redshift space distortion
parameter of the CIV absorption, which can only be poorly determined at
$\beta_c=1.10.6$ from our data. This transmission bias is related to the
bias of CIV absorbers and their host halos through the effective mean optical
depth of the CIV forest, $\bar\tau_c$. Estimating a value $\tau_c(z)
0.01$ from previous studies of the CIV equivalent width distribution,
our measurement implies a CIV absorber bias near unity, with a large error due
to uncertainties in both $\beta_c$ and $\bar\tau_c$. This makes it compatible
with the higher DLA bias $b_DLA2$ measured previously from the
cross-correlation of DLAs and the Lyman-$\alpha$ forest. We discuss the
implications of the CIV absorber bias for the mass distribution of their host
halos. More accurate determinations of $\tau_c(z)$ and $\beta_c$ are
necessary to obtain a more robust measurement of this CIV absorber bias.
Description
[1712.09886] Quasar -- CIV forest cross-correlation with SDSS DR12
%0 Generic
%1 gontcho2017quasar
%A Gontcho, Satya Gontcho A
%A Miralda-Escudé, Jordi
%A Font-Ribera, Andreu
%A Blomqvist, Michael
%A Busca, Nicolás G.
%A Rich, James
%D 2017
%K CIV forest quasar
%T Quasar -- CIV forest cross-correlation with SDSS DR12
%U http://arxiv.org/abs/1712.09886
%X We present a new determination of the large-scale clustering of the CIV
forest (i.e., the absorption due to all CIV absorbers) using its
cross-correlation with quasars in the Sloan Digital Sky Survey (SDSS) Data
Release 12 (DR12). We fit a linear bias model to the measured
cross-correlation. We find that the transmission bias of the CIV forest,
$b_Fc$, at a mean redshift of $z=2.3$, obeys the relation $(1+\beta_c)b_F c
= -0.024 0.003$. Here, $\beta_c$ is the linear redshift space distortion
parameter of the CIV absorption, which can only be poorly determined at
$\beta_c=1.10.6$ from our data. This transmission bias is related to the
bias of CIV absorbers and their host halos through the effective mean optical
depth of the CIV forest, $\bar\tau_c$. Estimating a value $\tau_c(z)
0.01$ from previous studies of the CIV equivalent width distribution,
our measurement implies a CIV absorber bias near unity, with a large error due
to uncertainties in both $\beta_c$ and $\bar\tau_c$. This makes it compatible
with the higher DLA bias $b_DLA2$ measured previously from the
cross-correlation of DLAs and the Lyman-$\alpha$ forest. We discuss the
implications of the CIV absorber bias for the mass distribution of their host
halos. More accurate determinations of $\tau_c(z)$ and $\beta_c$ are
necessary to obtain a more robust measurement of this CIV absorber bias.
@misc{gontcho2017quasar,
abstract = {We present a new determination of the large-scale clustering of the CIV
forest (i.e., the absorption due to all CIV absorbers) using its
cross-correlation with quasars in the Sloan Digital Sky Survey (SDSS) Data
Release 12 (DR12). We fit a linear bias model to the measured
cross-correlation. We find that the transmission bias of the CIV forest,
$b_{Fc}$, at a mean redshift of $z=2.3$, obeys the relation $(1+\beta_c)b_{F c}
= -0.024 \pm 0.003$. Here, $\beta_{c}$ is the linear redshift space distortion
parameter of the CIV absorption, which can only be poorly determined at
$\beta_c=1.1\pm 0.6$ from our data. This transmission bias is related to the
bias of CIV absorbers and their host halos through the effective mean optical
depth of the CIV forest, $\bar\tau_c$. Estimating a value $\bar \tau_c(z)
\simeq 0.01$ from previous studies of the CIV equivalent width distribution,
our measurement implies a CIV absorber bias near unity, with a large error due
to uncertainties in both $\beta_c$ and $\bar\tau_c$. This makes it compatible
with the higher DLA bias $b_{\rm DLA}\simeq 2$ measured previously from the
cross-correlation of DLAs and the Lyman-$\alpha$ forest. We discuss the
implications of the CIV absorber bias for the mass distribution of their host
halos. More accurate determinations of $\bar \tau_c(z)$ and $\beta_c$ are
necessary to obtain a more robust measurement of this CIV absorber bias.},
added-at = {2017-12-29T10:10:57.000+0100},
author = {Gontcho, Satya Gontcho A and Miralda-Escudé, Jordi and Font-Ribera, Andreu and Blomqvist, Michael and Busca, Nicolás G. and Rich, James},
biburl = {https://www.bibsonomy.org/bibtex/254ba36e2087f136e1176869453a55ecb/miki},
description = {[1712.09886] Quasar -- CIV forest cross-correlation with SDSS DR12},
interhash = {b75ef220608cdfe4a0c4de0bee471d52},
intrahash = {54ba36e2087f136e1176869453a55ecb},
keywords = {CIV forest quasar},
note = {cite arxiv:1712.09886},
timestamp = {2017-12-29T10:10:57.000+0100},
title = {Quasar -- CIV forest cross-correlation with SDSS DR12},
url = {http://arxiv.org/abs/1712.09886},
year = 2017
}