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 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.
