{"title":"Deriving Cosmological Parameters from the Euclid mission","authors":"Davide Sciotti","doi":"arxiv-2409.07185","DOIUrl":null,"url":null,"abstract":"The Euclid mission is a visionary project undertaken by the European Space\nAgency (ESA) to probe the universe's evolution and geometry by surveying the\nposition and gravitational shape distortion of billions of galaxies. These\nobservations bear the potential to offer unprecedented measurements of the\ncosmological parameters, thereby advancing our understanding of the cosmos.\nThis work revolves around the central theme of quantifying the constraining\npower of the upcoming Euclid 3$\\times$2pt photometric survey, accounting for\nseveral factors which have been neglected to this date in the official\nforecasts, especially more subtle sources of uncertainty which need to be\nincluded in the forecast (and data) analysis due to the precision of the\nobservations. First, we include and study the impact of super-sample\ncovariance, a source of sample variance coming from the incomplete sampling of\nthe density and shear field Fourier modes caused by the limited survey volume.\nSecond, we examine the effect of scale cuts, translating them from Fourier to\nharmonic space through the use of the BNT transform, which offers an efficient\nway of separating angular scales for the cosmic shear signal. This analysis\nallows quantifying and mitigating the bias coming from the uncertainty on our\nmodelling of small scales. These updated forecasts, validated against the\nreference Euclid ones, provide insights into the expected precision achieved on\nthe cosmological and nuisance parameters, for a variety of survey settings and\nfor the inclusion of different realistic systematics, such as multiplicative\nshear bias, magnification bias, uncertainty in the mean of the redshift\ndistribution and so on.","PeriodicalId":501207,"journal":{"name":"arXiv - PHYS - Cosmology and Nongalactic Astrophysics","volume":"14 8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Cosmology and Nongalactic Astrophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Euclid mission is a visionary project undertaken by the European Space
Agency (ESA) to probe the universe's evolution and geometry by surveying the
position and gravitational shape distortion of billions of galaxies. These
observations bear the potential to offer unprecedented measurements of the
cosmological parameters, thereby advancing our understanding of the cosmos.
This work revolves around the central theme of quantifying the constraining
power of the upcoming Euclid 3$\times$2pt photometric survey, accounting for
several factors which have been neglected to this date in the official
forecasts, especially more subtle sources of uncertainty which need to be
included in the forecast (and data) analysis due to the precision of the
observations. First, we include and study the impact of super-sample
covariance, a source of sample variance coming from the incomplete sampling of
the density and shear field Fourier modes caused by the limited survey volume.
Second, we examine the effect of scale cuts, translating them from Fourier to
harmonic space through the use of the BNT transform, which offers an efficient
way of separating angular scales for the cosmic shear signal. This analysis
allows quantifying and mitigating the bias coming from the uncertainty on our
modelling of small scales. These updated forecasts, validated against the
reference Euclid ones, provide insights into the expected precision achieved on
the cosmological and nuisance parameters, for a variety of survey settings and
for the inclusion of different realistic systematics, such as multiplicative
shear bias, magnification bias, uncertainty in the mean of the redshift
distribution and so on.