Euclid. Optimising tomographic redshift binning for 3 × 2 pt power spectrum constraints on dark energy
| dc.contributor.author | Wong, Jonathan H. W. | |
| dc.contributor.author | Brown, Michael L. | |
| dc.contributor.author | Duncan, Christopher Alexander James | |
| dc.contributor.author | Amara, A. | |
| dc.contributor.author | Andreon, Stefano | |
| dc.contributor.author | Baccigalupi, Carlo | |
| dc.contributor.author | Baldi, Marco | |
| dc.contributor.author | Bardelli, Sandro | |
| dc.contributor.author | Bonino, Donata | |
| dc.contributor.author | Branchini, Enzo | |
| dc.contributor.author | Brescia, Massimo | |
| dc.contributor.author | Brinchmann, Jarle | |
| dc.contributor.author | Caillat, A. | |
| dc.contributor.author | Camera, Stefano | |
| dc.contributor.author | Capobianco, Vito | |
| dc.contributor.author | Carbone, Carmerlita | |
| dc.contributor.author | Carretero, J. | |
| dc.contributor.author | Casas, Santiago | |
| dc.contributor.author | Castellano, Marco | |
| dc.contributor.author | Castignani, Gianluca | |
| dc.contributor.author | Cavuoti, Stefano | |
| dc.contributor.author | Cimatti, A. | |
| dc.contributor.author | Colodro-Conde, C. | |
| dc.contributor.author | Congedo, Guiseppe | |
| dc.contributor.author | Conselice, Chistopher J. | |
| dc.contributor.author | Conversi, Luca | |
| dc.contributor.author | Copin, Yannick | |
| dc.contributor.author | Courbin, Frederic | |
| dc.contributor.author | Courtois, Helene M. | |
| dc.contributor.author | Silva, Antonio Da | |
| dc.contributor.author | Degaudenzi, Hubert | |
| dc.contributor.author | Lucia, G. De | |
| dc.contributor.author | Giorgio, Anna Maria Di | |
| dc.contributor.author | Dinis, João | |
| dc.contributor.author | Dubath, Florian | |
| dc.contributor.author | Dupac, X. | |
| dc.contributor.author | Dusini, Stefano | |
| dc.contributor.author | Farina, Maria | |
| dc.contributor.author | Farrens, Samuel | |
| dc.contributor.author | Faustini, Fabiana | |
| dc.contributor.author | Ferriol, S. | |
| dc.contributor.author | Frailis, Marco | |
| dc.contributor.author | Franceschi, Enrico | |
| dc.contributor.author | Galeotta, Samuele | |
| dc.contributor.author | George, Koshy | |
| dc.contributor.author | Gillard, William | |
| dc.contributor.author | Gillis, Bryan | |
| dc.contributor.author | Giocoli, Carlo | |
| dc.contributor.author | Grazian, Andrea | |
| dc.contributor.author | Grupp, F. | |
| dc.contributor.author | Guzzo, Luigi | |
| dc.contributor.author | Haugan, Stein Vidar Hagfors | |
| dc.contributor.author | Holmes, Warren Albert | |
| dc.contributor.author | Hook, Isobel M. | |
| dc.contributor.author | Hormuth, Felix | |
| dc.contributor.author | Hornstrup, Allan | |
| dc.contributor.author | Ilić, Stéphane | |
| dc.contributor.author | Jahnke, Knud | |
| dc.contributor.author | Jhabvala, M. | |
| dc.contributor.author | Keihänen, Elina | |
| dc.contributor.author | Kermiche, Smaïn | |
| dc.contributor.author | Kiessling, Alina | |
| dc.contributor.author | Kubik, Bogna | |
| dc.contributor.author | Kunz, Martin | |
| dc.contributor.author | Kurki-Suonio, Hannu Antero | |
| dc.contributor.author | Ligori, Sebstiano | |
| dc.contributor.author | Lilje, Per Barth | |
| dc.contributor.author | Lindholm, Valtteri | |
| dc.contributor.author | Lloro, Ivan | |
| dc.contributor.author | Mainetti, Gabriele | |
| dc.contributor.author | Maiorano, Elisabetta | |
| dc.contributor.author | Mansutti, Oriana | |
| dc.contributor.author | Marggraf, Ole | |
| dc.contributor.author | Markovic, Katarina | |
| dc.contributor.author | Martinelli, Matteo | |
| dc.contributor.author | Martinet, Nicolas | |
| dc.contributor.author | Marulli, Federico | |
| dc.contributor.author | Massey, Richard J. | |
| dc.contributor.author | Medinaceli, Eduardo | |
| dc.contributor.author | Mei, Simona | |
| dc.contributor.author | Melchior, Martin | |
| dc.date.accessioned | 2026-06-11T06:15:24Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | The tomographic approach to analysing the 3 × 2 pt signal involves dividing the observed galaxy sample into a configuration of redshift bins. We present a simulation-based method to explore the optimum tomographic binning strategy for Euclid , focussing on the expected configuration of its first major data release (DR1). To do so, we 1) simulated a Euclid -like observation and generated mock shear catalogues from multiple realisations of the 3 × 2 pt fields on the sky; and 2) measured the 3 × 2 pt Pseudo- C ℓ power spectra for a given tomographic configuration and derived the constraints they place on the standard dark energy equation-of-state parameters, ( w 0 , w a ). For a simulation including Gaussian-distributed photometric redshift uncertainties and shape noise under a ΛCDM cosmology, we find that bins that are equipopulated with galaxies yield the best constraints on ( w 0 , w a ) for an analysis of the full 3 × 2 pt signal or the angular clustering component only. For the cosmic shear component, the optimum ( w 0 , w a ) constraints can be achieved by bins equally spaced in fiducial comoving distance. However, the advantage with respect to alternative binning choices is only of a few per cent in the size of the 1 σ ( w 0 , w a ) contour and we conclude that the cosmic shear is relatively insensitive to the binning methodology. We find that the information gain extracted on ( w 0 , w a ) for any 3 × 2 pt component starts to become saturated beyond roughly seven or eight bins. Any marginal gains resulting from a greater number of bins are likely to be limited by additional uncertainties present in a real measurement and the increasing demand for accuracy of the covariance matrix. Finally, we considered a 5% contamination from catastrophic photometric redshift outliers and found that if these errors are not mitigated in the analysis, the bias induced in the 3 × 2 pt signal for ten equipopulated bins results in dark energy constraints that are inconsistent with the fiducial ΛCDM cosmology at ≳3 σ . | |
| dc.identifier.doi | 10.1051/0004-6361/202553742 | |
| dc.identifier.issn | 0004-6361 | |
| dc.identifier.issn | 1432-0746 | |
| dc.identifier.uri | https://irf.fhnw.ch/handle/11645/56927 | |
| dc.identifier.uri | https://doi.org/10.26041/fhnw-16392 | |
| dc.language.iso | en | |
| dc.publisher | EDP Sciences | |
| dc.relation.ispartof | Astronomy & Astrophysics | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 520 - Astronomie, Kartografie | |
| dc.title | Euclid. Optimising tomographic redshift binning for 3 × 2 pt power spectrum constraints on dark energy | |
| dc.type | 01A - Beitrag in wissenschaftlicher Zeitschrift | |
| dc.volume | 708 | |
| dspace.entity.type | Publication | |
| fhnw.InventedHere | Yes | |
| fhnw.ReviewType | peer-reviewed | |
| fhnw.affiliation.hochschule | Hochschule für Informatik FHNW | de_CH |
| fhnw.affiliation.institut | Institut für Data Science | de_CH |
| fhnw.oastatus.aurora | Version: Published *** Embargo: None *** Licence: CC BY *** URL: https://v2.sherpa.ac.uk/id/publication/11142 | |
| fhnw.openAccessCategory | Gold | |
| fhnw.pagination | A284 | |
| fhnw.publicationState | Published | |
| fhnw.targetcollection | b508cce9-5084-49ae-a565-d8e5c348c3ab | |
| relation.isAuthorOfPublication | 11b8b694-b9b6-4e71-a8ca-9b185ba7f62a | |
| relation.isAuthorOfPublication.latestForDiscovery | 11b8b694-b9b6-4e71-a8ca-9b185ba7f62a |
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