A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy

Andréa Guerrero; Shahram Hosseini; Yannick Deville; Thierry Contini; Tristan Grégoire

ICASSP 2019accepted0 citations

A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy

Andréa Guerrero, Shahram Hosseini, Yannick Deville, Thierry Contini, Tristan Grégoire

Abstract

We consider the problem of decontaminating galaxy spectra in the context of the EUCLID space mission. The spectra of neighboring astronomical objects being spatially mixed, a source separation method should be used to separate them. Here, we propose a new method based on the fusion of information between first and second-order spectra generated by a grism. Using the optical properties, we propose a regularized criterion and a gradient algorithm to optimize it. The tests using noisy realistic simulated data show that our method leads to better results than a method only based on second-order information.

BibTeX

@inproceedings{icassp2019_anewseparationme,
  title = {A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy},
  author = {Andréa Guerrero and Shahram Hosseini and Yannick Deville and Thierry Contini and Tristan Grégoire},
  booktitle = {ICASSP 2019},
  year = {2019}
}