☆ 4.7 Article

Matter power spectrum: from Ly α forest to CMB scales

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2019)

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MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

卷 489, 期 2, 页码 2247-2253

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OXFORD UNIV PRESS

DOI: 10.1093/mnras/stz2310

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large-scale structure of Universe; cosmology: observations

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Astronomy & Astrophysics

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We present a new compilation of inferences of the linear 3D matter power spectrum at redshift z = 0 from a variety of probes spanning several orders of magnitude in physical scale and in cosmic history. We develop a new lower noise method for performing this inference from the latest Ly alpha forest 1D power spectrum data. We also include cosmic microwave background (CMB) temperature and polarization power spectra and lensing reconstruction data, the cosmic shear two-point correlation function, and the clustering of luminous red galaxies. We provide a Dockerized Jupyter notebook housing the fairly complex dependences for producing the plot of these data, with the hope that groups in the future can help add to it. Overall, we find qualitative agreement between the independent measurements considered here and the standard Lambda CDM cosmological model fit to the Planck data.

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P. A. R. Ade, N. Aghanim, C. Armitage-Caplan, M. Arnaud, M. Ashdown, F. Atrio-Barandela, J. Aumont, C. Baccigalupi, A. J. Banday, R. B. Barreiro, J. G. Bartlett, E. Battaner, K. Benabed, A. Benoit, A. Benoit-Levy, J. -P. Bemard, M. Bersanelli, P. Bielewicz, J. Bobin, J. J. Bock, A. Bonaldi, L. Bonavera, J. R. Bond, J. Borrill, F. R. Bouchet, F. Boulanger, M. Bridges, M. Bucher, C. Burigana, R. C. Butler, E. Calabrese, J. -F. Cardoso, A. Catalano, A. Challinor, A. Chamballu, H. C. Chiang, L. -Y Chiang, P. R. Christensen, S. Church, D. L. Clements, S. Colombi, L. P. L. Colombo, C. Combet, F. Couchot, A. Coulais, B. P. Crill, A. Curto, F. Cuttaia, L. Danese, R. D. Davies, R. J. Davis, P. de Bemardis, A. de Rosa, G. de Zotti, J. Delabrouille, J. -M. Delouis, F. -X. Desert, C. Dickinson, J. M. Diego, H. Dole, S. Donzelli, O. Dore, M. Douspis, J. Dunkley, X. Dupac, G. Efstathiou, F. Elsner, T. A. Ensslin, H. K. Eriksen, F. Finelli, O. Forni, M. Frailis, A. A. Fraisse, E. Franceschi, T. C. Gaier, S. Galeotta, S. Galli, K. Ganga, M. Giard, G. Giardino, Y. Giraud-Heraud, E. Gjerlow, J. Gonzalez-Nuevo, K. M. Gorski, S. Gratton, A. Gregorio, A. Gruppuso, J. E. Gudmundsson, F. K. Hansen, D. Hanson, D. Harrison, G. Helou, S. Henrot-Versille, C. Hernandez-Monteagudo, D. Herranz, S. R. Hildebrandt, E. Hivon, M. Hobson, W. A. Holmes, A. Homtrup, W. Hovest, K. M. Huffenberger, G. Hurier, A. H. Jaffe, T. R. Jaffe, J. Jewell, W. C. Jones, M. Juvela, E. Keihanen, R. Kesldtalo, K. Kiiveri, T. S. Kisner, R. krieiss, J. Knoche, L. Knox, M. Kunz, H. Kurki-Suonio, G. Lagache, A. Lahteenmaki, J. -M. Lamarre, A. Lasenby, M. Lattanzi, R. J. Laureijs, C. R. Lawrence, M. Le Jeune, S. Leach, J. P. Leahy, R. Leonardi, J. Leon-Tavares, J. Lesgourgues, M. Liguori, P. B. Lilje, M. Linden-Vornle, V. Lindholm, M. Lopez-Caniego, P. M. Lubin, J. F. Macias-Perez, B. Maffei, D. Maino, N. Mandolesi, D. Marinucci, M. Maris, D. J. Marshall, P. G. Martin, E. Martinez-Gonzalez, S. Masi, M. Massardi, S. Matarrese, F. Matthai, P. Mazzotta, P. R. Meinhold, A. Melchiorri, L. Mendes, E. Menegoni, A. Mennella, M. Migliaccio, M. Millea, S. Mitra, M. -A. Miville-Deschenes, D. Molinari, A. Moneti, L. Montier, G. Morgante, D. Mortlock, A. Moss, D. Munshi, J. A. Murphy, P. Naselsky, F. Nati, P. Natoli, C. B. Netterfield, H. U. Norgaard-Nielsen, F. Noviello, D. Novikov, I. Novikov, I. J. O'Dwyer, F. Orieux, S. Osborne, C. A. Oxborrow, F. Paci, L. Pagano, F. Pajot, R. Paladini, D. Paoletti, B. Partridge, F. Pasian, G. Patanchon, P. Paykari, O. Perdereaun, L. Perotto, F. Perrotta, F. Piacentini, M. Piat, E. Pierpaoli, D. Pietrobon, S. Plaszczynski, E. Pointecouteau, G. Polenta, N. Ponthieu, L. Popa, T. Poutanen, G. W. Pratt, G. Prezeau, S. Prunet, J. -L. Puget, J. P. Rachen, A. Rahlin, R. Rebolo, M. Reinecke, M. Remazeilles, C. Renault, S. Ricciardi, T. Riller, C. Ringeval, I. Ristorcelli, G. Rocha, C. Rosset, G. Roudier, M. Rowan-Robinson, J. A. Rubino-Martin, B. Rusholme, M. Sandri, L. Sanselme, D. Santos, G. Savini, D. Scott, M. D. Seiffert, E. P. S. Shellard, L. D. Spencer, J. -L. Starck, V. Stolyarov, R. Stompor, R. Sudiwala, F. Sureau, D. Sutton, A. -S. Suur-Uski, J. -F. Sygnet, J. A. Tauber, D. Tavagnacco, L. Terenzi, L. Toffolatti, M. Tomasi, M. Tristram, M. Tucci, J. Tuovinen, M. Tuerler, L. Valenziano, J. Valiviita, B. Van Tent, J. Varis, P. Vielva, F. Villa, N. Vittorio, L. A. Wade, B. D. Wandelt, I. K. Wehus, M. White, S. D. M. White, D. Yvon, A. Zacchei, A. Zonca

ASTRONOMY & ASTROPHYSICS (2014)

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Article Physics, Multidisciplinary

Maximum-Entropy Priors with Derived Parameters in a Specified Distribution

Will Handley, Marius Millea

ENTROPY (2019)

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Article Astronomy & Astrophysics

Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data

M. Millea, C. M. Daley, T-L Chou, E. Anderes, P. A. R. Ade, A. J. Anderson, J. E. Austermann, J. S. Avva, J. A. Beall, A. N. Bender, B. A. Benson, F. Bianchini, L. E. Bleem, J. E. Carlstrom, C. L. Chang, P. Chaubal, H. C. Chiang, R. Citron, C. Corbett Moran, T. M. Crawford, A. T. Crites, T. de Haan, M. A. Dobbs, W. Everett, J. Gallicchio, E. M. George, N. Goeckner-Wald, S. Guns, N. Gupta, N. W. Halverson, J. W. Henning, G. C. Hilton, G. P. Holder, W. L. Holzapfel, J. D. Hrubes, N. Huang, J. Hubmayr, K. D. Irwin, L. Knox, A. T. Lee, D. Li, A. Lowitz, J. J. McMahon, S. S. Meyer, L. M. Mocanu, J. Montgomery, T. Natoli, J. P. Nibarger, G. Noble, V Novosad, Y. Omori, S. Padin, S. Patil, C. Pryke, C. L. Reichardt, J. E. Ruhl, B. R. Saliwanchik, K. K. Schaffer, C. Sievers, G. Smecher, A. A. Stark, B. Thorne, C. Tucker, T. Veach, J. D. Vieira, G. Wang, N. Whitehorn, W. L. K. Wu, V Yefremenko

Summary: This study performs Bayesian parameter inference and optimal reconstruction of gravitational lensing of the cosmic microwave background (CMB) using polarization observations from the SPTpol receiver. The Bayesian approach extracts all lensing information from the data and is shown to be optimal at any noise level. Results demonstrate the feasibility of the Bayesian approach on real data, showing potential for future improvements in deep CMB polarization measurements.

ASTROPHYSICAL JOURNAL (2021)

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Article Astronomy & Astrophysics

Sampling-based inference of the primordial CMB and gravitational lensing

Marius Millea, Ethan Anderes, Benjamin D. Wandelt

PHYSICAL REVIEW D (2020)

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Article Astronomy & Astrophysics

Hubble constant hunter's guide

L. Knox, M. Millea

PHYSICAL REVIEW D (2020)

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Article Astronomy & Astrophysics

Bayesian delensing of CMB temperature and polarization

Marius Millea, Ethan Anderes, Benjamin D. Wandelt

PHYSICAL REVIEW D (2019)

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Article Astronomy & Astrophysics

Sounds Discordant: Classical Distance Ladder and ΛCDM-based Determinations of the Cosmological Sound Horizon

Kevin Aylor, Mackenzie Joy, Lloyd Knox, Marius Millea, Srinivasan Raghunathan, W. L. Kimmy Wu

ASTROPHYSICAL JOURNAL (2019)

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