Euclid preparation : LX. The use of HST images as input for weak-lensing image simulations

Scognamiglio, D.; Schrabback, T.; Tewes, M.; Gillis, B.; Hoekstra, H.; Huff, E. M.; Marggraf, O.; Kitching, T.; Massey, R.; Tereno, I.; Carvalho, C. S.; Robertson, A.; Congedo, G.; Aghanim, N.; Altieri, B.; Amara, A.; Andreon, S.; Auricchio, N.; Baccigalupi, C.; Baldi, M.; Bardelli, S.; Battaglia, P.; Bodendorf, C.; Bonino, D.; Branchini, E.; Brescia, M.; Brinchmann, J.; Camera, S.; Capobianco, V.; Carbone, C.; Cardone, V. F.; Carretero, J.; Casas, S.; Castander, F. J.; Castellano, M.; Castignani, G.; Cavuoti, S.; Cimatti, A.; Colodro-Conde, C.; Conselice, C. J.; Conversi, L.; Copin, Y.; Courbin, F.; Courtois, H. M.; Cropper, M.; Da Silva, A.; Degaudenzi, H.; De Lucia, G.; Di Giorgio, A. M.; Dinis, J.; Dubath, F.; Duncan, C. A. J.; Dupac, X.; Dusini, S.; Farina, M.; Farrens, S.; Ferriol, S.; Fosalba, P.; Frailis, M.; Franceschi, E.; Galeotta, S.; Giocoli, C.; Gomez-Alvarez, P.; Grazian, A.; Grupp, F.; Guzzo, L.; Haugan, S. V. H.; Holmes, W.; Hormuth, F.; Hornstrup, A.; Hudelot, P.; Jahnke, K.; Joachimi, B.; Keihanen, E.; Kermiche, S.; Kiessling, A.; Kilbinger, M.; Kubik, B.; Kuemmel, M.; Kunz, M.; Kurki-Suonio, H.; Ligori, S.; Lilje, P. B.; Lindholm, V.; Lloro, I.; Mainetti, G.; Maiorano, E.; Mansutti, O.; Markovic, K.; Martinelli, M.; Martinet, N.; Marulli, F.; Medinaceli, E.; Mei, S.; Mellier, Y.; Meneghetti, M.; Meylan, G.; Moresco, M.; Moscardini, L.; Nakajima, R.; Niemi, S. -M; Nightingale, J. W.; Padilla, C.; Paltani, S.; Pasian, F.; Pedersen, K.; Pires, S.; Polenta, G.; Poncet, M.; Popa, L. A.; Pozzetti, L.; Raison, F.; Rebolo, R.; Renzi, A.; Rhodes, J.; Riccio, G.; Romelli, E.; Roncarelli, M.; Rossetti, E.; Saglia, R.; Sakr, Z.; Sanchez, A. G.; Sapone, D.; Sartoris, B.; Scaramella, R.; Schirmer, M.; Schneider, P.; Secroun, A.; Seidel, G.; Serrano, S.; Sirignano, C.; Sirri, G.; Skottfelt, J.; Stanco, L.; Starck, J. -L; Steinwagner, J.; Tallada-Crespi, P.; Taylor, A. N.; Teplitz, H. I.; Toledo-Moreo, R.; Torradeflot, F.; Tutusaus, I.; Valenziano, L.; Vassallo, T.; Kleijn, G. Verdoes; Veropalumbo, A.; Wang, Y.; Weller, J.; Wetzstein, M.; Zamorani, G.; Zucca, E.; Biviano, A.; Bolzonella, M.; Boucaud, A.; Bozzo, E.; Burigana, C.; Calabrese, M.; Vigo, J. A. Escartin; Gracia-Carpio, J.; Mauri, N.; Pezzotta, A.; Pontinen, M.; Porciani, C.; Scottez, V.; Tenti, M.; Viel, M.; Wiesmann, M.; Akrami, Y.; Allevato, V.; Anselmi, S.; Ballardini, M.; Blot, L.; Borgani, S.; Bruton, S.; Cabanac, R.; Calabro, A.; Cappi, A.; Castro, T.; Chambers, K. C.; Contarini, S.; Cooray, A. R.; Davini, S.; De Caro, B.; Desprez, G.; Diaz-Sanchez, A.; Di Domizio, S.; Dole, H.; Escoffier, S.; Ferrari, A. G.; Ferrero, I.; Fornari, F.; Gabarra, L.; Ganga, K.; Garcia-Bellido, J.; Gaztanaga, E.; Giacomini, F.; Gianotti, F.; Gozaliasl, G.; Hall, A.; Hemmati, S.; Hildebrandt, H.; Hjorth, J.; Munoz, A. Jimenez; Kajava, J. J. E.; Kansal, V.; Karagiannis, D.; Kirkpatrick, C. C.; Le Graet, J.; Legrand, L.; Loureiro, A.; Macias-Perez, J.; Maggio, G.; Magliocchetti, M.; Mannucci, F.; Maoli, R.; Martins, C. J. A. P.; Matthew, S.; Maurin, L.; Metcalf, R. B.; Monaco, P.; Moretti, C.; Morgante, G.; Walton, N. A.; Patrizii, L.; Popa, V.; Potter, D.; Reimberg, P.; Risso, I.; Rocci, P. -F; Rollins, R. P.; Sahlén, Martin; Schneider, A.; Sereno, M.; Simon, P.; Mancini, A. Spurio; Tanidis, K.; Tao, C.; Testera, G.; Teyssier, R.; Toft, S.; Tosi, S.; Troja, A.; Tucci, M.; Valieri, C.; Valiviita, J.; Vergani, D.; Verza, G.

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Euclid preparation: LX. The use of HST images as input for weak-lensing image simulations

Scognamiglio, D.

CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA.;Univ Bonn, Argelander Inst Astron, Hugel 71, D-53121 Bonn, Germany..

Schrabback, T.

Univ Bonn, Argelander Inst Astron, Hugel 71, D-53121 Bonn, Germany.;Univ Innsbruck, Inst Astro & Teilchenphys, Technikerstr 25-8, A-6020 Innsbruck, Austria..

Tewes, M.

Univ Bonn, Argelander Inst Astron, Hugel 71, D-53121 Bonn, Germany..

Gillis, B.

Univ Edinburgh, Inst Astron, Royal Observ, Blackford Hill, Edinburgh EH9 3HJ, Midlothian, Scotland..

Hoekstra, H.

Huff, E. M.

Marggraf, O.

Kitching, T.

Massey, R.

Tereno, I.

Carvalho, C. S.

Robertson, A.

Congedo, G.

Aghanim, N.

Altieri, B.

Amara, A.

Andreon, S.

Auricchio, N.

Baccigalupi, C.

Baldi, M.

Bardelli, S.

Battaglia, P.

Bodendorf, C.

Bonino, D.

Branchini, E.

Brescia, M.

Brinchmann, J.

Camera, S.

Capobianco, V.

Carbone, C.

Cardone, V. F.

Carretero, J.

Casas, S.

Castander, F. J.

Castellano, M.

Castignani, G.

Cavuoti, S.

Cimatti, A.

Colodro-Conde, C.

Conselice, C. J.

Conversi, L.

Copin, Y.

Courbin, F.

Courtois, H. M.

Cropper, M.

Da Silva, A.

Degaudenzi, H.

De Lucia, G.

Di Giorgio, A. M.

Dinis, J.

Dubath, F.

Duncan, C. A. J.

Dupac, X.

Dusini, S.

Farina, M.

Farrens, S.

Ferriol, S.

Fosalba, P.

Frailis, M.

Franceschi, E.

Galeotta, S.

Giocoli, C.

Gomez-Alvarez, P.

Grazian, A.

Grupp, F.

Guzzo, L.

Haugan, S. V. H.

Holmes, W.

Hormuth, F.

Hornstrup, A.

Hudelot, P.

Jahnke, K.

Joachimi, B.

Keihanen, E.

Kermiche, S.

Kiessling, A.

Kilbinger, M.

Kubik, B.

Kuemmel, M.

Kunz, M.

Kurki-Suonio, H.

Ligori, S.

Lilje, P. B.

Lindholm, V.

Lloro, I.

Mainetti, G.

Maiorano, E.

Mansutti, O.

Markovic, K.

Martinelli, M.

Martinet, N.

Marulli, F.

Medinaceli, E.

Mei, S.

Mellier, Y.

Meneghetti, M.

Meylan, G.

Moresco, M.

Moscardini, L.

Nakajima, R.

Niemi, S. -M

Nightingale, J. W.

Padilla, C.

Paltani, S.

Pasian, F.

Pedersen, K.

Pires, S.

Polenta, G.

Poncet, M.

Popa, L. A.

Pozzetti, L.

Raison, F.

Rebolo, R.

Renzi, A.

Rhodes, J.

Riccio, G.

Romelli, E.

Roncarelli, M.

Rossetti, E.

Saglia, R.

Sakr, Z.

Sanchez, A. G.

Sapone, D.

Sartoris, B.

Scaramella, R.

Schirmer, M.

Schneider, P.

Secroun, A.

Seidel, G.

Serrano, S.

Sirignano, C.

Sirri, G.

Skottfelt, J.

Stanco, L.

Starck, J. -L

Steinwagner, J.

Tallada-Crespi, P.

Taylor, A. N.

Teplitz, H. I.

Toledo-Moreo, R.

Torradeflot, F.

Tutusaus, I.

Valenziano, L.

Vassallo, T.

Kleijn, G. Verdoes

Veropalumbo, A.

Wang, Y.

Weller, J.

Wetzstein, M.

Zamorani, G.

Zucca, E.

Biviano, A.

Bolzonella, M.

Boucaud, A.

Bozzo, E.

Burigana, C.

Calabrese, M.

Vigo, J. A. Escartin

Gracia-Carpio, J.

Mauri, N.

Pezzotta, A.

Pontinen, M.

Porciani, C.

Scottez, V.

Tenti, M.

Viel, M.

Wiesmann, M.

Akrami, Y.

Allevato, V.

Anselmi, S.

Ballardini, M.

Blot, L.

Borgani, S.

Bruton, S.

Cabanac, R.

Calabro, A.

Cappi, A.

Castro, T.

Chambers, K. C.

Contarini, S.

Cooray, A. R.

Davini, S.

De Caro, B.

Desprez, G.

Diaz-Sanchez, A.

Di Domizio, S.

Dole, H.

Escoffier, S.

Ferrari, A. G.

Ferrero, I.

Fornari, F.

Gabarra, L.

Ganga, K.

Garcia-Bellido, J.

Gaztanaga, E.

Giacomini, F.

Gianotti, F.

Gozaliasl, G.

Hall, A.

Hemmati, S.

Hildebrandt, H.

Hjorth, J.

Munoz, A. Jimenez

Kajava, J. J. E.

Kansal, V.

Karagiannis, D.

Kirkpatrick, C. C.

Le Graet, J.

Legrand, L.

Loureiro, A.

Macias-Perez, J.

Maggio, G.

Magliocchetti, M.

Mannucci, F.

Maoli, R.

Martins, C. J. A. P.

Matthew, S.

Maurin, L.

Metcalf, R. B.

Monaco, P.

Moretti, C.

Morgante, G.

Walton, N. A.

Patrizii, L.

Popa, V.

Potter, D.

Reimberg, P.

Risso, I.

Rocci, P. -F

Rollins, R. P.

Sahlén, Martin

Schneider, A.

Sereno, M.

Simon, P.

Mancini, A. Spurio

Tanidis, K.

Tao, C.

Testera, G.

Teyssier, R.

Toft, S.

Tosi, S.

Troja, A.

Tucci, M.

Valieri, C.

Valiviita, J.

Vergani, D.

Verza, G.

Show others and affiliations

2025 (English)In: Astronomy and Astrophysics, ISSN 0004-6361, E-ISSN 1432-0746, Vol. 694, article id A262Article in journal (Refereed) Published

Abstract [en]

Data from the Euclid space telescope will enable cosmic shear measurements to be carried out with very small statistical errors, necessitating a corresponding level of systematic error control. A common approach to correct for shear biases involves calibrating shape measurement methods using image simulations with known input shear. Given their high resolution, galaxies observed with the Hubble Space Telescope (HST) can, in principle, be utilised to emulate Euclid observations of sheared galaxy images with realistic morphologies. In this work, we employ a GalSim-based testing environment to investigate whether uncertainties in the HST point spread function (PSF) model or in data processing techniques introduce significant biases in weak-lensing (WL) shear calibration. We used single Sersic galaxy models to simulate both HST and Euclid observations. We then 'Euclidised' our HST simulations and compared the results with the directly simulated Euclid-like images. For this comparison, we utilised a moment-based shape measurement algorithm and galaxy model fits. Through the Euclidisation procedure, we effectively reduced the residual multiplicative biases in shear measurements to sub-percent levels. This achievement was made possible by employing either the native pixel scales of the instruments, utilising the Lanczos15 interpolation kernel, correcting for noise correlations, and ensuring consistent galaxy signal-to-noise ratios between simulation branches. Alternatively, a finer pixel scale can be employed alongside deeper HST data. However, the Euclidisation procedure requires further analysis on the impact of the correlated noise, to estimate calibration bias. We found that additive biases can be mitigated by applying a post-deconvolution isotropisation in the Euclidisation set-up. Additionally, we conducted an in-depth analysis of the accuracy of TinyTim HST PSF models using star fields observed in the F606W and F814W filters. We observe that F606W images exhibit a broader scatter in the recovered best-fit focus, compared to those in the F814W filter. Estimating the focus value for the F606W filter in lower stellar density regimes has allowed us to reveal significant statistical uncertainties.

Place, publisher, year, edition, pages

EDP Sciences, 2025. Vol. 694, article id A262

Keywords [en]

gravitational lensing: weak, techniques: miscellaneous, cosmology: observations

National Category

Astronomy, Astrophysics and Cosmology Computer graphics and computer vision

Identifiers

URN: urn:nbn:se:uu:diva-554544DOI: 10.1051/0004-6361/202451587ISI: 001443933300001Scopus ID: 2-s2.0-105001209469OAI: oai:DiVA.org:uu-554544DiVA, id: diva2:1951909

Funder

EU, Horizon 2020, 776247Available from: 2025-04-14 Created: 2025-04-14 Last updated: 2025-04-14Bibliographically approved

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