Ahmed Selloum, S. Hosseini, T. Contini, Y. Deville
{"title":"Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy","authors":"Ahmed Selloum, S. Hosseini, T. Contini, Y. Deville","doi":"10.1109/EUSIPCO.2015.7362662","DOIUrl":null,"url":null,"abstract":"We investigate the problem of separating galaxy spectra from their mixtures resulting from the slitless spectroscopy used in the future Euclid space mission. This can be formulated as a source separation problem where the structure of the mixture is specific and depends on a low number of parameters. We first develop a mathematical model to describe the observations generated by the near-infrared spectrograph of Euclid, then propose non-blind, semi-blind and regularized semi-blind methods to separate the spectra. The first simulation results are encouraging: even for a signal to noise ratio of 5 dB, our regularized semi-blind method succeeds in separating the considered two spectra and provides a satisfactory estimate of the emission line positions and amplitudes.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"05 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUSIPCO.2015.7362662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We investigate the problem of separating galaxy spectra from their mixtures resulting from the slitless spectroscopy used in the future Euclid space mission. This can be formulated as a source separation problem where the structure of the mixture is specific and depends on a low number of parameters. We first develop a mathematical model to describe the observations generated by the near-infrared spectrograph of Euclid, then propose non-blind, semi-blind and regularized semi-blind methods to separate the spectra. The first simulation results are encouraging: even for a signal to noise ratio of 5 dB, our regularized semi-blind method succeeds in separating the considered two spectra and provides a satisfactory estimate of the emission line positions and amplitudes.