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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Format: | Article in Journal/Newspaper |
Language: | unknown |
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arXiv
2019
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Online Access: | https://dx.doi.org/10.48550/arxiv.1912.02183 https://arxiv.org/abs/1912.02183 |
Summary: | 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 |
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