Aims.Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear.Methods.We present an ‘end-to-end’ approach that introduces sources of bias in a modelled weak lensing survey on a galaxy-by-galaxy level. Residual biases are propagated through a pipeline from galaxy properties (one end) through to cosmic shear powerspectra and cosmological parameter estimates (the other end), to quantify how imperfect knowledge of the pipeline changes themaximum likelihood values of dark energy parameters.Results.We quantify the impact of an imperfect correction for charge transfer inefficiency (CTI) and modelling uncertainties of thepoint spread function (PSF) forEuclid, and find that the biases introduced can be corrected to acceptable levels.

Erratum: Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments (A&A (2020) 635 A139 DOI: 10.1051/0004-6361/201936980)

Baldi M.;Giocoli C.;Marulli F.;Mauri N.;Metcalf R. B.;Moresco M.;Moscardini L.;
2020

Abstract

Aims.Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear.Methods.We present an ‘end-to-end’ approach that introduces sources of bias in a modelled weak lensing survey on a galaxy-by-galaxy level. Residual biases are propagated through a pipeline from galaxy properties (one end) through to cosmic shear powerspectra and cosmological parameter estimates (the other end), to quantify how imperfect knowledge of the pipeline changes themaximum likelihood values of dark energy parameters.Results.We quantify the impact of an imperfect correction for charge transfer inefficiency (CTI) and modelling uncertainties of thepoint spread function (PSF) forEuclid, and find that the biases introduced can be corrected to acceptable levels.
2020
Paykari P.; Kitching T.; Hoekstra H.; Azzollini R.; Cardone V.F.; Cropper M.; Duncan C.A.J.; Kannawadi A.; Miller L.; Aussel H.; Conti I.F.; Auricchio N.; Baldi M.; Bardelli S.; Biviano A.; Bonino D.; Borsato E.; Bozzo E.; Branchini E.; Brau-Nogue S.; Brescia M.; Brinchmann J.; Burigana C.; Camera S.; Capobianco V.; Carbone C.; Carretero J.; Casas S.; Castander F.J.; Castellano M.; Cavuoti S.; Charles Y.; Cledassou R.; Colodro-Conde C.; Congedo G.; Conselice C.; Conversi L.; Copin Y.; Coupon J.; Courtois H.M.; Da Silva A.; Dupac X.; Fabbian G.; Farrens S.; Ferreira P.G.; Fosalba P.; Fourmanoit N.; Frailis M.; Fumana M.; Galeotta S.; Garilli B.; Gillard W.; Gillis B.R.; Giocoli C.; Gracia-Carpio J.; Grupp F.; Hormuth F.; Ilic S.; Israel H.; Jahnke K.; Keihanen E.; Kermiche S.; Kilbinger M.; Kirkpatrick C.C.; Kubik B.; Kunz M.; Kurki-Suonio H.; Lacasa F.; Laureijs R.; Le Mignant D.; Ligori S.; Lilje P.B.; Lloro I.; MacIaszek T.; Maiorano E.; Marggraf O.; Markovic K.; Martinelli M.; Martinet N.; Marulli F.; Massey R.; Mauri N.; Medinaceli E.; Mei S.; Mellier Y.; Meneghetti M.; Metcalf R.B.; Moresco M.; Moscardini L.; Munari E.; Neissner C.; Nichol R.C.; Niemi S.; Nutma T.; Padilla C.; Paltani S.; Pasian F.; Pettorino V.; Pires S.; Polenta G.; Pourtsidou A.; Raison F.; Renzi A.; Rhodes J.; Romelli E.; Roncarelli M.; Rossetti E.; Saglia R.; Sakr Z.; Sanchez A.G.; Sapone D.; Scaramella R.; Schneider P.; Schrabback T.; Scottez V.; Secroun A.; Serrano S.; Sirignano C.; Sirri G.; Stanco L.; Starck J.-L.; Sureau F.; Tallada-Crespi P.; Taylor A.; Tenti M.; Tereno I.; Toledo-Moreo R.; Torradeflot F.; Tutusaus I.; Valenziano L.; Vannier M.; Vassallo T.; Zoubian J.; Zucca E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/804425
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