Reducing Photometric Redshift Uncertainties Using Galaxy Clustering Information
In cosmology and astronomy, measuring the distances to galaxies is an important task. This is done by measuring the redshift of the spectra from these sources. Photometric redshifts are a quick way of estimating the true redshifts and are calculated using color band intensities. The errors on thes...
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6249812017-07-29T03:00:41Z Reducing Photometric Redshift Uncertainties Using Galaxy Clustering Information Fiedorowicz, Pier Alexander Fiedorowicz, Pier Alexander Rozo, Eduardo In cosmology and astronomy, measuring the distances to galaxies is an important task. This is done by measuring the redshift of the spectra from these sources. Photometric redshifts are a quick way of estimating the true redshifts and are calculated using color band intensities. The errors on these measurements produce an apparent anisotropy in the radial direction. One of our fundamental assumptions in cosmology is that the universe is isotropic. The ultimate goal of this project is to recover isotropy in the photometric redshift data. This is done using Bayesian statistical inference to update the probability distribution functions for the galaxy redshifts. We also demonstrate a simplified method of estimating the underlying density field. Ultimately, we found that this simplified method failed to generate significant improvements in photometric redshift uncertainties. Work on this project is ongoing. When completed, we expect to find that we have produced a robust system capable of complementing photometric redshift estimators and improving their results. With these improved measurements it is possible to better constrain various cosmological parameters important to dark-matter research. 2017 text Electronic Thesis http://hdl.handle.net/10150/624981 http://arizona.openrepository.com/arizona/handle/10150/624981 en_US Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona. |
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description |
In cosmology and astronomy, measuring the distances to galaxies is an important task. This is done by
measuring the redshift of the spectra from these sources. Photometric redshifts are a quick way of estimating
the true redshifts and are calculated using color band intensities. The errors on these measurements produce
an apparent anisotropy in the radial direction. One of our fundamental assumptions in cosmology is that
the universe is isotropic. The ultimate goal of this project is to recover isotropy in the photometric redshift
data. This is done using Bayesian statistical inference to update the probability distribution functions for
the galaxy redshifts. We also demonstrate a simplified method of estimating the underlying density field.
Ultimately, we found that this simplified method failed to generate significant improvements in photometric
redshift uncertainties. Work on this project is ongoing. When completed, we expect to find that we have
produced a robust system capable of complementing photometric redshift estimators and improving their
results. With these improved measurements it is possible to better constrain various cosmological parameters
important to dark-matter research. |
author2 |
Rozo, Eduardo |
author_facet |
Rozo, Eduardo Fiedorowicz, Pier Alexander Fiedorowicz, Pier Alexander |
author |
Fiedorowicz, Pier Alexander Fiedorowicz, Pier Alexander |
spellingShingle |
Fiedorowicz, Pier Alexander Fiedorowicz, Pier Alexander Reducing Photometric Redshift Uncertainties Using Galaxy Clustering Information |
author_sort |
Fiedorowicz, Pier Alexander |
title |
Reducing Photometric Redshift Uncertainties Using Galaxy Clustering Information |
title_short |
Reducing Photometric Redshift Uncertainties Using Galaxy Clustering Information |
title_full |
Reducing Photometric Redshift Uncertainties Using Galaxy Clustering Information |
title_fullStr |
Reducing Photometric Redshift Uncertainties Using Galaxy Clustering Information |
title_full_unstemmed |
Reducing Photometric Redshift Uncertainties Using Galaxy Clustering Information |
title_sort |
reducing photometric redshift uncertainties using galaxy clustering information |
publisher |
The University of Arizona. |
publishDate |
2017 |
url |
http://hdl.handle.net/10150/624981 http://arizona.openrepository.com/arizona/handle/10150/624981 |
work_keys_str_mv |
AT fiedorowiczpieralexander reducingphotometricredshiftuncertaintiesusinggalaxyclusteringinformation AT fiedorowiczpieralexander reducingphotometricredshiftuncertaintiesusinggalaxyclusteringinformation |
_version_ |
1718508430290845696 |