%0 Generic %1 menard2013estimating %A Ménard, Brice %A Scranton, Ryan %A Schmidt, Samuel %A Morrison, Chris %A Jeong, Donghui %A Budavari, Tamas %A Rahman, Mubdi %D 2013 %K correlation distribution redshift %T Estimating redshift distributions with spatial correlations: method and application to data %U http://arxiv.org/abs/1303.4722 %X We present a method to infer the redshift distribution of an arbitrary dataset based on spatial cross-correlation with a reference population and we apply it to various datasets across the electromagnetic spectrum. Our approach advocates the use of clustering measurements on all available scales, in constrast to previous works focusing only on linear scales. We apply this technique to infer the redshift distributions of luminous red galaxies and emission line galaxies from the SDSS, infrared sources from WISE and radio sources from FIRST. We show that consistent redshift distributions are found using both quasars and absorber systems as reference populations. This technique promises to be widely applicable to existing and upcoming sky surveys. It provides us with the invaluable ability to deproject the inherently 2D observations of the extragalactic sky.

@misc{menard2013estimating, abstract = {We present a method to infer the redshift distribution of an arbitrary dataset based on spatial cross-correlation with a reference population and we apply it to various datasets across the electromagnetic spectrum. Our approach advocates the use of clustering measurements on all available scales, in constrast to previous works focusing only on linear scales. We apply this technique to infer the redshift distributions of luminous red galaxies and emission line galaxies from the SDSS, infrared sources from WISE and radio sources from FIRST. We show that consistent redshift distributions are found using both quasars and absorber systems as reference populations. This technique promises to be widely applicable to existing and upcoming sky surveys. It provides us with the invaluable ability to deproject the inherently 2D observations of the extragalactic sky.}, added-at = {2013-03-20T06:35:25.000+0100}, author = {Ménard, Brice and Scranton, Ryan and Schmidt, Samuel and Morrison, Chris and Jeong, Donghui and Budavari, Tamas and Rahman, Mubdi}, biburl = {https://www.bibsonomy.org/bibtex/22c7f569ce42ae0926d0cfbc60a1510fd/miki}, description = {[1303.4722] Estimating redshift distributions with spatial correlations: method and application to data}, interhash = {d50f9654c2743c23f6406524e3b0c105}, intrahash = {2c7f569ce42ae0926d0cfbc60a1510fd}, keywords = {correlation distribution redshift}, note = {cite arxiv:1303.4722Comment: 8 pages, 4 figures}, timestamp = {2013-03-20T06:35:25.000+0100}, title = {Estimating redshift distributions with spatial correlations: method and application to data}, url = {http://arxiv.org/abs/1303.4722}, year = 2013 }