ICASSP 2024accepted0 citations

Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution

Mostafa Bella, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grégoire, Yannick Deville

Abstract

This article introduces a new method for decontaminating galaxy spectra within the framework of the Euclid space mission. Unlike our previously proposed methods that rely on a linear instantaneous model, this new method is based on a more realistic convolutive model. This model enables simultaneous decontamination and deconvolution of spectra, resulting in improved decontamination performance. First, we present a mixing model for observed data provided by four dispersion directions of light, transformed into the Fourier domain. Then, a method is proposed for estimating the spectrum of the object of interest. The effectiveness of the proposed method is demonstrated through preliminary results obtained using realistic noisy data.

BibTeX
@inproceedings{icassp2024_fourierdomainapp,
  title = {Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution},
  author = {Mostafa Bella and Shahram Hosseini and Hicham Saylani and Thierry Contini and Tristan Grégoire and Yannick Deville},
  booktitle = {ICASSP 2024},
  year = {2024}
}