We explore the 2013 Planck likelihood function with a high-precision multi-dimensional minimizer (Minuit). This allows a refinement of the ΛCDM best-fit solution with respect to previously-released results, and the construction of frequentist confidence intervals using profile likelihoods. The agreement with the cosmological results from the Bayesian framework is excellent, demonstrating the robustness of the Planck results to the statistical methodology. We investigate the inclusion of neutrino masses, where more significant differences may appear due to the non-Gaussian nature of the posterior mass distribution. By applying the Feldman-Cousins prescription, we again obtain results very similar to those of the Bayesian methodology. However, the profile-likelihood analysis of the cosmic microwave background (CMB) combination (Planck+WP+highL) reveals a minimum well within the unphysical negative-mass region. We show that inclusion of the Planck CMB-lensing information regularizes this issue, and provide a robust frequentist upper limit ∑ mν ≤ 0.26 eV (95% confidence) from the CMB+lensing+BAO data combination.

Ade, P., Aghanim, N., Arnaud, M., Ashdown, M., Aumont, J., Baccigalupi, C., et al. (2014). Planck intermediate results XVI. Profile likelihoods for cosmological parameters. ASTRONOMY & ASTROPHYSICS, 566, A54 [10.1051/0004-6361/201323003].

Planck intermediate results XVI. Profile likelihoods for cosmological parameters

MAZZOTTA, PASQUALE;Migliaccio, M;
2014-01-01

Abstract

We explore the 2013 Planck likelihood function with a high-precision multi-dimensional minimizer (Minuit). This allows a refinement of the ΛCDM best-fit solution with respect to previously-released results, and the construction of frequentist confidence intervals using profile likelihoods. The agreement with the cosmological results from the Bayesian framework is excellent, demonstrating the robustness of the Planck results to the statistical methodology. We investigate the inclusion of neutrino masses, where more significant differences may appear due to the non-Gaussian nature of the posterior mass distribution. By applying the Feldman-Cousins prescription, we again obtain results very similar to those of the Bayesian methodology. However, the profile-likelihood analysis of the cosmic microwave background (CMB) combination (Planck+WP+highL) reveals a minimum well within the unphysical negative-mass region. We show that inclusion of the Planck CMB-lensing information regularizes this issue, and provide a robust frequentist upper limit ∑ mν ≤ 0.26 eV (95% confidence) from the CMB+lensing+BAO data combination.
2014
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/05 - ASTRONOMIA E ASTROFISICA
English
Con Impact Factor ISI
cosmic background radiation / cosmology: observations / cosmology: theory / cosmological parameters / methods: statistical
Ade, P., Aghanim, N., Arnaud, M., Ashdown, M., Aumont, J., Baccigalupi, C., et al. (2014). Planck intermediate results XVI. Profile likelihoods for cosmological parameters. ASTRONOMY & ASTROPHYSICS, 566, A54 [10.1051/0004-6361/201323003].
Ade, P; Aghanim, N; Arnaud, M; Ashdown, M; Aumont, J; Baccigalupi, C; Banday, A; Barreiro, R; Bartlett, J; Battaner, E; Benabed, K; Benoit Lévy, A; Bernard, J; Bersanelli, M; Bielewicz, P; Bobin, J; Bonaldi, A; Bond, J; Bouchet, F; Burigana, C; Cardoso, J; Catalano, A; Chamballu, A; Chiang, H; Christensen, P; Clements, D; Colombi, S; Colombo, L; Couchot, F; Cuttaia, F; Danese, L; Davies, R; Davis, R; de Bernardis, P; de Rosa, A; de Zotti, G; Delabrouille, J; Dickinson, C; Diego, J; Dole, H; Donzelli, S; Doré, O; Douspis, M; Dupac, X; Enßlin, T; Eriksen, H; Finelli, F; Forni, O; Frailis, M; Franceschi, E; Galeotta, S; Galli, S; Ganga, K; Giard, M; Giraud Héraud, Y; González Nuevo, J; Górski, K; Gregorio, A; Gruppuso, A; Hansen, F; Harrison, D; Henrot Versillé, S; Hernández Monteagudo, C; Herranz, D; Hildebrandt, S; Hivon, E; Hobson, M; Holmes, W; Hornstrup, A; Hovest, W; Huffenberger, K; Jaffe, A; Jaffe, T; Jones, W; Juvela, M; Keihänen, E; Keskitalo, R; Kisner, T; Kneissl, R; Knoche, J; Knox, L; Kunz, M; Kurki Suonio, H; Lagache, G; Lähteenmäki, A; Lamarre, J; Lasenby, A; Lawrence, C; Leonardi, R; Liddle, A; Liguori, M; Lilje, P; Linden Vørnle, M; López Caniego, M; Lubin, P; Macías Pérez, J; Maffei, B; Maino, D; Mandolesi, N; Maris, M; Martin, P; Martínez González, E; Masi, S; Massardi, M; Matarrese, S; Mazzotta, P; Melchiorri, A; Mendes, L; Mennella, A; Migliaccio, M; Mitra, S; Miville Deschênes, M; Moneti, A; Montier, L; Morgante, G; Munshi, D; Murphy, J; Naselsky, P; Nati, F; Natoli, P; Noviello, F; Novikov, D; Novikov, I; Oxborrow, C; Pagano, L; Pajot, F; Paoletti, D; Pasian, F; Perdereau, O; Perotto, L; Perrotta, F; Pettorino, V; Piacentini, F; Piat, M; Pierpaoli, E; Pietrobon, D; Plaszczynski, S; Pointecouteau, E; Polenta, G; Popa, L; Pratt, G; Puget, J; Rachen, J; Rebolo, R; Reinecke, M; Remazeilles, M; Renault, C; Ricciardi, S; Riller, T; Ristorcelli, I; Rocha, G; Rosset, C; Roudier, G; Rouillé d’Orfeuil, B; Rubiño Martín, J; Rusholme, B; Sandri, M; Savelainen, M; Savini, G; Spencer, L; Spinelli, M; Starck, J; Sureau, F; Sutton, D; Suur Uski, A; Sygnet, J; Tauber, J; Terenzi, L; Toffolatti, L; Tomasi, M; Tristram, M; Tucci, M; Umana, G; Valenziano, L; Valiviita, J; Van Tent, B; Vielva, P; Villa, F; Wade, L; Wandelt, B; White, M; Yvon, D; Zacchei, A; Zonca, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/88788
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