%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 }