Abstract
| Original language | English |
|---|---|
| Article number | A120 |
| Number of pages | 32 |
| Journal | Astronomy and Astrophysics |
| Volume | 675 |
| Early online date | 7 Jul 2023 |
| DOIs | |
| Publication status | Published - Jul 2023 |
Access to Document
- 10.1051/0004-6361/202346017Licence: CC BY
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In: Astronomy and Astrophysics, Vol. 675, A120, 07.2023.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Euclid Preparation
T2 - XXVIII. Forecasts for ten different higher-order weak lensing statistics
AU - Ajani, V.
AU - Baldi, M.
AU - Barthelemy, A.
AU - Boyle, A.
AU - Burger, P.
AU - Cardone, V. F.
AU - Cheng, S.
AU - Codis, S.
AU - Giocoli, C.
AU - Harnois-Déraps, J.
AU - Heydenreich, S.
AU - Kansal, V.
AU - Kilbinger, M.
AU - Linke, L.
AU - Llinares, C.
AU - Martinet, N.
AU - Parroni, C.
AU - Peel, A.
AU - Pires, S.
AU - Porth, L.
AU - Tereno, I.
AU - Uhlemann, C.
AU - Vicinanza, M.
AU - Vinciguerra, S.
AU - Aghanim, N.
AU - Auricchio, N.
AU - Bonino, D.
AU - Branchini, E.
AU - Brescia, M.
AU - Brinchmann, J.
AU - Camera, S.
AU - Capobianco, V.
AU - Carbone, C.
AU - Carretero, J.
AU - Castander, F. J.
AU - Castellano, M.
AU - Cavuoti, S.
AU - Cimatti, A.
AU - Cledassou, R.
AU - Congedo, G.
AU - Conselice, C. J.
AU - Conversi, L.
AU - Corcione, L.
AU - Courbin, F.
AU - Cropper, M.
AU - Silva, A. Da
AU - Degaudenzi, H.
AU - Giorgio, A. M. Di
AU - Dinis, J.
AU - Douspis, M.
AU - Dubath, F.
AU - Dupac, X.
AU - Farrens, S.
AU - Ferriol, S.
AU - Fosalba, P.
AU - Frailis, M.
AU - Franceschi, E.
AU - Galeotta, S.
AU - Garilli, B.
AU - Gillis, B.
AU - Grazian, A.
AU - Grupp, F.
AU - Hoekstra, H.
AU - Holmes, W.
AU - Hornstrup, A.
AU - Hudelot, P.
AU - Jahnke, K.
AU - Jhabvala, M.
AU - Kümmel, M.
AU - Kitching, T.
AU - Kunz, M.
AU - Kurki-Suonio, H.
AU - Lilje, P. B.
AU - Lloro, I.
AU - Maiorano, E.
AU - Mansutti, O.
AU - Marggraf, O.
AU - Markovic, K.
AU - Marulli, F.
AU - Massey, R.
AU - Mei, S.
AU - Mellier, Y.
AU - Meneghetti, M.
AU - Moresco, M.
AU - Moscardini, L.
AU - Niemi, S. -M.
AU - Nightingale, J.
AU - Nutma, T.
AU - Padilla, C.
AU - Paltani, S.
AU - Pedersen, K.
AU - Pettorino, V.
AU - Polenta, G.
AU - Poncet, M.
AU - Popa, L. A.
AU - Raison, F.
AU - Renzi, A.
AU - Rhodes, J.
AU - Riccio, G.
AU - Romelli, E.
AU - Roncarelli, M.
AU - Rossetti, E.
AU - Saglia, R.
AU - Sapone, D.
AU - Sartoris, B.
AU - Schneider, P.
AU - Schrabback, T.
AU - Secroun, A.
AU - Seidel, G.
AU - Serrano, S.
AU - Sirignano, C.
AU - Stanco, L.
AU - Starck, J. -L.
AU - Tallada-Crespi, P.
AU - Taylor, A. N.
AU - Toledo-Moreo, R.
AU - Torradeflot, F.
AU - Tutusaus, I.
AU - Valentijn, E. A.
AU - Valenziano, L.
AU - Vassallo, T.
AU - Wang, Y.
AU - Weller, J.
AU - Zamorani, G.
AU - Zoubian, J.
AU - Andreon, S.
AU - Bardelli, S.
AU - Boucaud, A.
AU - Bozzo, E.
AU - Colodro-Conde, C.
AU - Ferdinando, D. Di
AU - Fabbian, G.
AU - Farina, M.
AU - Graciá-Carpio, J.
AU - Keihänen, E.
AU - Lindholm, V.
AU - Maino, D.
AU - Mauri, N.
AU - Neissner, C.
AU - Schirmer, M.
AU - Scottez, V.
AU - Zucca, E.
AU - Akrami, Y.
AU - Baccigalupi, C.
AU - Balaguera-Antolinez, A.
AU - Ballardini, M.
AU - Bernardeau, F.
AU - Biviano, A.
AU - Blanchard, A.
AU - Borgani, S.
AU - Borlaff, A. S.
AU - Burigana, C.
AU - Cabanac, R.
AU - Cappi, A.
AU - Carvalho, C. S.
AU - Casas, S.
AU - Castignani, G.
AU - Castro, T.
AU - Chambers, K. C.
AU - Cooray, A. R.
AU - Coupon, J.
AU - Courtois, H. M.
AU - Davini, S.
AU - Torre, S. de la
AU - Lucia, G. De
AU - Desprez, G.
AU - Dole, H.
AU - Escartin, J. A.
AU - Escoffier, S.
AU - Ferrero, I.
AU - Finelli, F.
AU - Ganga, K.
AU - Garcia-Bellido, J.
AU - George, K.
AU - Giacomini, F.
AU - Gozaliasl, G.
AU - Hildebrandt, H.
AU - Muñoz, A. Jimenez
AU - Joachimi, B.
AU - Kajava, J. J. E.
AU - Kirkpatrick, C. C.
AU - Legrand, L.
AU - Loureiro, A.
AU - Magliocchetti, M.
AU - Maoli, R.
AU - Marcin, S.
AU - Martinelli, M.
AU - Martins, C. J. A. P.
AU - Matthew, S.
AU - Maurin, L.
AU - Metcalf, R. B.
AU - Monaco, P.
AU - Morgante, G.
AU - Nadathur, S.
AU - Nucita, A. A.
AU - Popa, V.
AU - Potter, D.
AU - Pourtsidou, A.
AU - Pöntinen, M.
AU - Reimberg, P.
AU - Sánchez, A. G.
AU - Sakr, Z.
AU - Schneider, A.
AU - Sefusatti, E.
AU - Sereno, M.
AU - Shulevski, A.
AU - Mancini, A. Spurio
AU - Steinwagner, J.
AU - Teyssier, R.
AU - Valiviita, J.
AU - Veropalumbo, A.
AU - Viel, M.
AU - Zinchenko, I. A.
PY - 2023/7
Y1 - 2023/7
N2 - Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precision thanks to their sensitivity to the non-Gaussian features of large-scale structure. The aim of the Higher-Order Weak Lensing Statistics (HOWLS) project is to assess, compare, and combine the constraining power of ten different HOS on a common set of Euclid-like mocks, derived from N-body simulations. In this first paper of the HOWLS series, we computed the nontomographic (Ωm, σ8) Fisher information for the one-point probability distribution function, peak counts, Minkowski functionals, Betti numbers, persistent homology Betti numbers and heatmap, and scattering transform coefficients, and we compare them to the shear and convergence two-point correlation functions in the absence of any systematic bias. We also include forecasts for three implementations of higher-order moments, but these cannot be robustly interpreted as the Gaussian likelihood assumption breaks down for these statistics. Taken individually, we find that each HOS outperforms the two-point statistics by a factor of around two in the precision of the forecasts with some variations across statistics and cosmological parameters. When combining all the HOS, this increases to a 4.5 times improvement, highlighting the immense potential of HOS for cosmic shear cosmological analyses with Euclid. The data used in this analysis are publicly released with the paper.
AB - Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precision thanks to their sensitivity to the non-Gaussian features of large-scale structure. The aim of the Higher-Order Weak Lensing Statistics (HOWLS) project is to assess, compare, and combine the constraining power of ten different HOS on a common set of Euclid-like mocks, derived from N-body simulations. In this first paper of the HOWLS series, we computed the nontomographic (Ωm, σ8) Fisher information for the one-point probability distribution function, peak counts, Minkowski functionals, Betti numbers, persistent homology Betti numbers and heatmap, and scattering transform coefficients, and we compare them to the shear and convergence two-point correlation functions in the absence of any systematic bias. We also include forecasts for three implementations of higher-order moments, but these cannot be robustly interpreted as the Gaussian likelihood assumption breaks down for these statistics. Taken individually, we find that each HOS outperforms the two-point statistics by a factor of around two in the precision of the forecasts with some variations across statistics and cosmological parameters. When combining all the HOS, this increases to a 4.5 times improvement, highlighting the immense potential of HOS for cosmic shear cosmological analyses with Euclid. The data used in this analysis are publicly released with the paper.
U2 - 10.1051/0004-6361/202346017
DO - 10.1051/0004-6361/202346017
M3 - Article
SN - 0004-6361
VL - 675
JO - Astronomy and Astrophysics
JF - Astronomy and Astrophysics
M1 - A120
ER -