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  Euclid: modelling massive neutrinos in cosmology a code comparison

Adamek, J., Angulo, R., Arnold, C., Baldi, M., Biagetti, M., Bose, B., et al. (2023). Euclid: modelling massive neutrinos in cosmology a code comparison. Journal of Cosmology and Astroparticle Physics, 2023(6): 035. doi:10.1088/1475-7516/2023/06/035.

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Adamek, J., Author
Angulo, R.E., Author
Arnold, C., Author
Baldi, M., Author
Biagetti, M., Author
Bose, B., Author
Carbone, C., Author
Castro, T., Author
Dakin, J., Author
Dolag, K., Author
Elbers, W., Author
Fidler, C., Author
Giocoli, C., Author
Hannestad, S., Author
Hassani, F., Author
Hernández-Aguayo, C., Author
Koyama, K., Author
Li, B., Author
Mauland, R., Author
Monaco, P., Author
Moretti, C., AuthorMota, D.F., AuthorPartmann, C., AuthorParimbelli, G., AuthorPotter, D., AuthorSchneider, A., AuthorSchulz, S., AuthorSmith, R.E., AuthorSpringel, V., AuthorStadel, J., AuthorTram, T., AuthorViel, M., AuthorVillaescusa-Navarro, F., AuthorWinther, H.A., AuthorWright, B.S., AuthorZennaro, M., AuthorAghanim, N., AuthorAmendola, L., AuthorAuricchio, N., AuthorBonino, D., AuthorBranchini, E., AuthorBrescia, M., AuthorCamera, S., AuthorCapobianco, V., AuthorCardone, V.F., AuthorCarretero, J., AuthorCastander, F.J., AuthorCastellano, M., AuthorCavuoti, S., AuthorCimatti, A., AuthorCledassou, R., AuthorCongedo, G., AuthorConversi, L., AuthorCopin, Y., AuthorSilva, A. Da, AuthorDegaudenzi, H., AuthorDouspis, M., AuthorDubath, F., AuthorDuncan, C.A.J., AuthorDupac, X., AuthorDusini, S., AuthorFarrens, S., AuthorFerriol, S., AuthorFosalba, P., AuthorFrailis, M., AuthorFranceschi, E., AuthorGaleotta, S., AuthorGarilli, B., AuthorGillard, W., AuthorGillis, B., AuthorGrazian, A., AuthorHaugan, S.V., AuthorHolmes, W., AuthorHornstrup, A., AuthorJahnke, K., AuthorKermiche, S., AuthorKiessling, A., AuthorKilbinger, M., AuthorKitching, T., AuthorKunz, M., AuthorKurki-Suonio, H., AuthorLilje, P.B., AuthorLloro, I., AuthorMansutti, O., AuthorMarggraf, O., AuthorMarulli, F., AuthorMassey, R., AuthorMedinaceli, E., AuthorMeneghetti, M., AuthorMeylan, G., AuthorMoresco, M., AuthorMoscardini, L., AuthorMunari, E., AuthorNiemi, S.-M., AuthorPadilla, C., AuthorPaltani, S., AuthorPasian, F., AuthorPedersen, K., AuthorPercival, W.J., AuthorPettorino, V., AuthorPolenta, G., AuthorPoncet, M., AuthorPopa, L.A., AuthorRaison, F.1, Author           Rebolo, R., AuthorRenzi, A., AuthorRhodes, J., AuthorRiccio, G., AuthorRomelli, E., AuthorRoncarelli, M., AuthorSaglia, R.1, Author           Sapone, D., AuthorSartoris, B., AuthorSchneider, P., AuthorSchrabback, T., AuthorSecroun, A., AuthorSeidel, G., AuthorSirignano, C., AuthorSirri, G., AuthorStanco, L., AuthorStarck, J.-L., AuthorTallada-Crespí, P., AuthorTaylor, A.N., AuthorTereno, I., AuthorToledo-Moreo, R., AuthorTorradeflot, F., AuthorTutusaus, I., AuthorValenziano, L., AuthorVassallo, T., AuthorWang, Y., AuthorWeller, J.1, Author           Zacchei, A., AuthorZamorani, G., AuthorZoubian, J., AuthorFabbian, G., AuthorScottez, V., Author more..
Affiliations:
1Optical and Interpretative Astronomy, MPI for Extraterrestrial Physics, Max Planck Society, ou_159895              

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 Abstract: The measurement of the absolute neutrino mass scale from cosmological large-scale clustering data is one of the key science goals of the Euclid mission. Such a measurement relies on precise modelling of the impact of neutrinos on structure formation, which can be studied with N-body simulations. Here we present the results from a major code comparison effort to establish the maturity and reliability of numerical methods for treating massive neutrinos. The comparison includes eleven full N-body implementations (not all of them independent), two N-body schemes with approximate time integration, and four additional codes that directly predict or emulate the matter power spectrum. Using a common set of initial data we quantify the relative agreement on the nonlinear power spectrum of cold dark matter and baryons and, for the N-body codes, also the relative agreement on the bispectrum, halo mass function, and halo bias. We find that the different numerical implementations produce fully consistent results. We can therefore be confident that we can model the impact of massive neutrinos at the sub-percent level in the most common summary statistics. We also provide a code validation pipeline for future reference.

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Language(s): eng - English
 Dates: 2023-06-16
 Publication Status: Published online
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1475-7516/2023/06/035
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Title: Journal of Cosmology and Astroparticle Physics
  Abbreviation : J. Cosmol. Astropart. Phys.
  Abbreviation : JCAP
Source Genre: Journal
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Pages: - Volume / Issue: 2023 (6) Sequence Number: 035 Start / End Page: - Identifier: ISSN: 1475-7516