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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Bibliographic Details
Main Author: Lee, Youngik
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2019
Subjects:
Instrumentation and Methods for Astrophysics astro-ph.IM
Astrophysics of Galaxies astro-ph.GA
FOS Physical sciences
South Pole
Spire The
South pole
Online Access:https://dx.doi.org/10.48550/arxiv.1912.02183
https://arxiv.org/abs/1912.02183
Description
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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