Using synthetic Lyman-$\alpha$ forests from the Dark Energy Spectroscopic
Instrument (DESI) survey, we present a study of the impact of errors in the
estimation of quasar redshift on the Lyman-$\alpha$ correlation functions.
Estimates of quasar redshift have large uncertainties of a few hundred
$km s^-1\,$ due to the broadness of the emission lines and the
intrinsic shifts from other emission lines. We inject Gaussian random redshift
errors into the mock quasar catalogues, and measure the auto-correlation and
the Lyman-$\alpha$-quasar cross-correlation functions. We find a smearing of
the BAO feature in the radial direction, but changes in the peak position are
negligible. However, we see a significant unphysical correlation for small
separations transverse to the line of sight which increases with the amplitude
of the redshift errors. We interpret this contamination as a result of the
broadening of emission lines in the measured mean continuum, caused by quasar
redshift errors, combined with the unrealistically strong clustering of the
simulated quasars on small scales.
Beschreibung
The effect of quasar redshift errors on Lyman-$\alpha$ forest correlation functions
%0 Generic
%1 youles2022effect
%A Youles, Samantha
%A Bautista, Julian E.
%A Font-Ribera, Andreu
%A Bacon, David
%A Rich, James
%A Brooks, David
%A Davis, Tamara M.
%A Dawson, Kyle
%A Dhungana, Govinda
%A Doel, Peter
%A Fanning, Kevin
%A Gaztañaga, Enrique
%A Gontcho, Satya Gontcho A
%A Gonzalez-Morales, Alma X.
%A Guy, Julien
%A Honscheid, Klaus
%A Iršič, Vid
%A Kehoe, Robert
%A Kirkby, David
%A Kisner, Theodore
%A Landriau, Martin
%A Guillou, Laurent Le
%A Levi, Michael E.
%A de la Macorra, Axel
%A Martini, Paul
%A Muñoz-Gutiérrez, Andrea
%A Palanque-Delabrouille, Nathalie
%A Pérez-Ràfols, Ignasi
%A Poppett, Claire
%A Ramírez-Pérez, César
%A Schubnell, Michael
%A Tarlé, Gregory
%A Walther, Michael
%D 2022
%K library
%T The effect of quasar redshift errors on Lyman-$\alpha$ forest
correlation functions
%U http://arxiv.org/abs/2205.06648
%X Using synthetic Lyman-$\alpha$ forests from the Dark Energy Spectroscopic
Instrument (DESI) survey, we present a study of the impact of errors in the
estimation of quasar redshift on the Lyman-$\alpha$ correlation functions.
Estimates of quasar redshift have large uncertainties of a few hundred
$km s^-1\,$ due to the broadness of the emission lines and the
intrinsic shifts from other emission lines. We inject Gaussian random redshift
errors into the mock quasar catalogues, and measure the auto-correlation and
the Lyman-$\alpha$-quasar cross-correlation functions. We find a smearing of
the BAO feature in the radial direction, but changes in the peak position are
negligible. However, we see a significant unphysical correlation for small
separations transverse to the line of sight which increases with the amplitude
of the redshift errors. We interpret this contamination as a result of the
broadening of emission lines in the measured mean continuum, caused by quasar
redshift errors, combined with the unrealistically strong clustering of the
simulated quasars on small scales.
@misc{youles2022effect,
abstract = {Using synthetic Lyman-$\alpha$ forests from the Dark Energy Spectroscopic
Instrument (DESI) survey, we present a study of the impact of errors in the
estimation of quasar redshift on the Lyman-$\alpha$ correlation functions.
Estimates of quasar redshift have large uncertainties of a few hundred
$\text{km s}^{-1}\,$ due to the broadness of the emission lines and the
intrinsic shifts from other emission lines. We inject Gaussian random redshift
errors into the mock quasar catalogues, and measure the auto-correlation and
the Lyman-$\alpha$-quasar cross-correlation functions. We find a smearing of
the BAO feature in the radial direction, but changes in the peak position are
negligible. However, we see a significant unphysical correlation for small
separations transverse to the line of sight which increases with the amplitude
of the redshift errors. We interpret this contamination as a result of the
broadening of emission lines in the measured mean continuum, caused by quasar
redshift errors, combined with the unrealistically strong clustering of the
simulated quasars on small scales.},
added-at = {2022-05-16T09:59:26.000+0200},
author = {Youles, Samantha and Bautista, Julian E. and Font-Ribera, Andreu and Bacon, David and Rich, James and Brooks, David and Davis, Tamara M. and Dawson, Kyle and Dhungana, Govinda and Doel, Peter and Fanning, Kevin and Gaztañaga, Enrique and Gontcho, Satya Gontcho A and Gonzalez-Morales, Alma X. and Guy, Julien and Honscheid, Klaus and Iršič, Vid and Kehoe, Robert and Kirkby, David and Kisner, Theodore and Landriau, Martin and Guillou, Laurent Le and Levi, Michael E. and de la Macorra, Axel and Martini, Paul and Muñoz-Gutiérrez, Andrea and Palanque-Delabrouille, Nathalie and Pérez-Ràfols, Ignasi and Poppett, Claire and Ramírez-Pérez, César and Schubnell, Michael and Tarlé, Gregory and Walther, Michael},
biburl = {https://www.bibsonomy.org/bibtex/296e86005c667014189479e3afd2184c9/gpkulkarni},
description = {The effect of quasar redshift errors on Lyman-$\alpha$ forest correlation functions},
interhash = {38435469156ee999065dedd7db201c4d},
intrahash = {96e86005c667014189479e3afd2184c9},
keywords = {library},
note = {cite arxiv:2205.06648Comment: 13 pages, 8 figures, submitted to MNRAS},
timestamp = {2022-05-16T09:59:26.000+0200},
title = {The effect of quasar redshift errors on Lyman-$\alpha$ forest
correlation functions},
url = {http://arxiv.org/abs/2205.06648},
year = 2022
}