Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments
This research focuses on identifying high redshift galaxies from LABOCA(LArge APEX BOlometer CAmera) and SPIRE(The Spectral and Photometric Imaging Receiver) maps towards proto-cluster candidates initially selected from the SPT (South pole telescope) survey. Based on the Multi-Gaussian fitting algor...
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ftdatacite:10.48550/arxiv.1912.02183 2023-05-15T18:22:18+02:00 Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments Lee, Youngik 2019 https://dx.doi.org/10.48550/arxiv.1912.02183 https://arxiv.org/abs/1912.02183 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Instrumentation and Methods for Astrophysics astro-ph.IM Astrophysics of Galaxies astro-ph.GA FOS Physical sciences Article CreativeWork article Preprint 2019 ftdatacite https://doi.org/10.48550/arxiv.1912.02183 2022-03-10T16:15:10Z This research focuses on identifying high redshift galaxies from LABOCA(LArge APEX BOlometer CAmera) and SPIRE(The Spectral and Photometric Imaging Receiver) maps towards proto-cluster candidates initially selected from the SPT (South pole telescope) survey. Based on the Multi-Gaussian fitting algorithm, we cross-match all significant LABOCA sources at SPIRE wavelengths based on their coordinates and signal to noise ratio to derive their photometry at 250, 350, 500 and 870 $μm$. We use this information to calculate a photometric redshift for SPT sources towards cluster fields. The code was developed in the Python programming environment. : 13 pages, 25 figures Article in Journal/Newspaper South pole DataCite Metadata Store (German National Library of Science and Technology) South Pole Spire The ENVELOPE(161.750,161.750,-78.150,-78.150) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Instrumentation and Methods for Astrophysics astro-ph.IM Astrophysics of Galaxies astro-ph.GA FOS Physical sciences |
spellingShingle |
Instrumentation and Methods for Astrophysics astro-ph.IM Astrophysics of Galaxies astro-ph.GA FOS Physical sciences Lee, Youngik Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments |
topic_facet |
Instrumentation and Methods for Astrophysics astro-ph.IM Astrophysics of Galaxies astro-ph.GA FOS Physical sciences |
description |
This research focuses on identifying high redshift galaxies from LABOCA(LArge APEX BOlometer CAmera) and SPIRE(The Spectral and Photometric Imaging Receiver) maps towards proto-cluster candidates initially selected from the SPT (South pole telescope) survey. Based on the Multi-Gaussian fitting algorithm, we cross-match all significant LABOCA sources at SPIRE wavelengths based on their coordinates and signal to noise ratio to derive their photometry at 250, 350, 500 and 870 $μm$. We use this information to calculate a photometric redshift for SPT sources towards cluster fields. The code was developed in the Python programming environment. : 13 pages, 25 figures |
format |
Article in Journal/Newspaper |
author |
Lee, Youngik |
author_facet |
Lee, Youngik |
author_sort |
Lee, Youngik |
title |
Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments |
title_short |
Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments |
title_full |
Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments |
title_fullStr |
Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments |
title_full_unstemmed |
Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments |
title_sort |
multi-gaussian fitting algorithm to determine multi-band photometry and photometric redshifts of laboca and herschel sources in proto-cluster environments |
publisher |
arXiv |
publishDate |
2019 |
url |
https://dx.doi.org/10.48550/arxiv.1912.02183 https://arxiv.org/abs/1912.02183 |
long_lat |
ENVELOPE(161.750,161.750,-78.150,-78.150) |
geographic |
South Pole Spire The |
geographic_facet |
South Pole Spire The |
genre |
South pole |
genre_facet |
South pole |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1912.02183 |
_version_ |
1766201693233479680 |