Multi-Gaussian fitting Algorithm to determine multi-band photometry and photometric redshifts of LABOCA and Herschel sources in proto-cluster environments. (arXiv:1912.02183v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Lee_Y/0/1/0/all/0/1">Youngik Lee</a>
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 $mu m$. We use this information to calculate a photometric
redshift for SPT sources towards cluster fields. The code was developed in the
Python programming environment.
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 $mu m$. We use this information to calculate a photometric
redshift for SPT sources towards cluster fields. The code was developed in the
Python programming environment.
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