351. Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations
- Author
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Yu Wang, Marco Castellano, J. Dakin, Natalia Auricchio, Enrico Bozzo, R. Cledassou, Mischa Knabenhans, Stefano Cavuoti, A. Da Silva, E. Medinaceli, C. Padilla, Benjamin J. Metcalf, Andrea Zacchei, T. Vassallo, Rafael Toledo-Moreo, C. Neissner, Giulio Fabbian, Chiara Sirignano, L. Stanco, E. Keihänen, Enzo Branchini, A. Secroun, N. Martinet, L. Whittaker, S. Serrano, M. Frailis, Carlo Baccigalupi, Ismael Tereno, Michele Moresco, Ralf Bender, Pedro G. Ferreira, S. de la Torre, M. Tenti, A. Cappi, W. A. Holmes, Jason Rhodes, J. Carretero, Luca Valenziano, S. Niemi, E. Romelli, Carlo Burigana, Gianluca Castignani, Joachim Stadel, Federico Marulli, Jussi Valiviita, Luigi Guzzo, F. Raison, Hélène M. Courtois, K. Markovic, C. Colodro-Conde, Carlo Giocoli, Leonardo Corcione, Ricard Casas, E. Franceschi, Stefano Andreon, Javier Graciá-Carpio, F. Sureau, Sebastiano Ligori, A. Renzi, C. A. J. Duncan, Hannu Kurki-Suonio, Remi A. Cabanac, Y. Copin, S. Paltani, S. Casas, N. Welikala, E. Munari, G. Sirri, Stefano Camera, Matteo Viel, S. Galeotta, C. J. Conselice, B. Garilli, Peter W. Battaglia, Doug Potter, B. Morin, Ole Marggraf, C. S. Carvalho, Domenico Sapone, I. Lloro, Jean Coupon, Andy Taylor, Ariel G. Sánchez, E. Zucca, Sandrine Pires, Ghassem Gozaliasl, X. Dupac, Lauro Moscardini, Aurel Schneider, Mauro Roncarelli, S. Farrens, Roberto P. Saglia, F. Grupp, Stefano Marelli, Pablo Fosalba, L. Conversi, V. Capobianco, Davide Maino, Felix Hormuth, S. Maurogordato, L. Patrizii, Richard Massey, Knud Jahnke, M. Poncet, H. Israel, P. Tallada Crespí, Giuseppe Riccio, Massimo Brescia, D. Di Ferdinando, S. Bardelli, G. Polenta, B. Kubik, Romain Teyssier, Marco Baldi, F. Torradeflot, Peter Schneider, Fabio Pasian, Steen Hannestad, G. Meylan, V. Scottez, Martin Kunz, A. Balaguera-Antolínez, Valeria Pettorino, Carmelita Carbone, Fabio Finelli, C. Bodendorf, N. Mauri, Massimo Meneghetti, Thomas Tram, P. B. Lilje, Andrea Biviano, G. Congedo, S. Kermiche, C. C. Kirkpatrick, Knabenhans, M., Stadel, J., Potter, D., Dakin, J., Hannestad, S., Tram, T., Marelli, S., Schneider, A., Teyssier, R., Fosalba, P., Andreon, S., Auricchio, N., Baccigalupi, C., Balaguera-Antolinez, A., Baldi, M., Bardelli, S., Battaglia, P., Bender, R., Biviano, A., Bodendorf, C., Bozzo, E., Branchini, E., Brescia, M., Burigana, C., Cabanac, R., Camera, S., Capobianco, V., Cappi, A., Carbone, C., Carretero, J., Carvalho, C. S., Casas, R., Casas, S., Castellano, M., Castignani, G., Cavuoti, S., Cledassou, R., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Coupon, J., Courtois, H. M., Da Silva, A., De La Torre, S., Ferdinando, D. D., Duncan, C. A. J., Dupac, X., Fabbian, G., Farrens, S., Ferreira, P. G., Finelli, F., Frailis, M., Franceschi, E., Galeotta, S., Garilli, B., Giocoli, C., Gozaliasl, G., Gracia-Carpio, J., Grupp, F., Guzzo, L., Holmes, W., Hormuth, F., Israel, H., Jahnke, K., Keihanen, E., Kermiche, S., Kirkpatrick, C. C., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maino, D., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Mauri, N., Maurogordato, S., Medinaceli, E., Meneghetti, M., Metcalf, B., Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, E., Neissner, C., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Patrizii, L., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Saglia, R., Sanchez, A. G., Sapone, D., Schneider, P., Scottez, V., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Sureau, F., Crespi, P. T., Taylor, A. N., Tenti, M., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valenziano, L., Valiviita, J., Vassallo, T., Viel, M., Wang, Y., Welikala, N., Whittaker, L., Zacchei, A., Zucca, E., Joseph Louis LAGRANGE (LAGRANGE), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Euclid Collaboration, M. Knabenhan, J. Stadel, D. Potter, J. Dakin, S. Hannestad, T. Tram, S. Marelli, A. Schneider, R. Teyssier, S. Andreon, N. Auricchio, C. Baccigalupi, A. Balaguera-Antolínez, M. Baldi, S. Bardelli, P. Battaglia, R. Bender, A. Biviano, C. Bodendorf, E. Bozzo, E. Branchini, M. Brescia, C. Burigana, R. Cabanac, S. Camera, V. Capobianco, A. Cappi, C. Carbone, J. Carretero, C. S. Carvalho, R. Casa, S. Casa, M. Castellano, G. Castignani, S. Cavuoti, R. Cledassou, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, J. Coupon, H. M. Courtoi, A. Da Silva, S. de la Torre, D. Di Ferdinando, C. A. J. Duncan, X. Dupac, G. Fabbian, S. Farren, P. G. Ferreira, F. Finelli, M. Fraili, E. Franceschi, S. Galeotta, B. Garilli, C. Giocoli, G. Gozaliasl, J. Graciá-Carpio, F. Grupp, L. Guzzo, W. Holme, F. Hormuth, H. Israel, K. Jahnke, E. Keihanen, S. Kermiche, C. C. Kirkpatrick, B. Kubik, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, D. Maino, O. Marggraf, K. Markovic, N. Martinet, F. Marulli, R. Massey, N. Mauri, S. Maurogordato, E. Medinaceli, M. Meneghetti, B. Metcalf, G. Meylan, M. Moresco, B. Morin, L. Moscardini, E. Munari, C. Neissner, S. M. Niemi, C. Padilla, S. Paltani, F. Pasian, L. Patrizii, V. Pettorino, S. Pire, G. Polenta, M. Poncet, F. Raison, A. Renzi, J. Rhode, G. Riccio, E. Romelli, M. Roncarelli, R. Saglia, A. G. Sánchez, D. Sapone, P. Schneider, V. Scottez, A. Secroun, S. Serrano, C. Sirignano, G. Sirri, L. Stanco, F. Sureau, P. Tallada Crespí, A. N. Taylor, M. Tenti, I. Tereno, R. Toledo-Moreo, F. Torradeflot, L. Valenziano, J. Valiviita, T. Vassallo, M. Viel, Y. Wang, N. Welikala, L. Whittaker, A. Zacchei, E. Zucca, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Department of Physics, Research Program in Systems Oncology, and Helsinki Institute of Physics
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,General relativity ,CODE ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Parameter space ,KATRIN ,01 natural sciences ,methods: numerical ,Settore FIS/05 - Astronomia e Astrofisica ,MATTER POWER SPECTRUM ,0103 physical sciences ,POLYNOMIAL CHAOS ,ALGORITHM ,cosmological parameters ,OPTIMIZATION ,010303 astronomy & astrophysics ,Physics ,methods: statistical ,010308 nuclear & particles physics ,Matter power spectrum ,Spectral density ,Astronomy and Astrophysics ,N-BODY SIMULATIONS ,115 Astronomy, Space science ,Redshift ,Computational physics ,Space and Planetary Science ,[SDU]Sciences of the Universe [physics] ,Metric (mathematics) ,Dark energy ,astro-ph.CO ,cosmological parameter ,large-scale structure of Universe ,Neutrino ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present a new, updated version of the EuclidEmulator (called EuclidEmulator2), a fast and accurate predictor for the nonlinear correction of the matter power spectrum. Percent-level accurate emulation is now supported in the eight-dimensional parameter space of $w_0w_a$CDM$+\sum m_\nu$models between redshift $z=0$ and $z=3$ for spatial scales within the range 0.01 $h$/Mpc $\leq k \leq$ 10 $h$/Mpc. In order to achieve this level of accuracy, we have had to improve the quality of the underlying N-body simulations used as training data: (1) we use self-consistent linear evolution of non-dark matter species such as massive neutrinos, photons, dark energy and the metric field, (2) we perform the simulations in the so-called N-body gauge, which allows one to interpret the results in the framework of general relativity, (3) we run over 250 high-resolution simulations with $3000^3$ particles in boxes of 1 (Gpc/$h$)${}^3$ volumes based on paired-and-fixed initial conditions and (4) we provide a resolution correction that can be applied to emulated results as a post-processing step in order to drastically reduce systematic biases on small scales due to residual resolution effects in the simulations. We find that the inclusion of the dynamical dark energy parameter $w_a$ significantly increases the complexity and expense of creating the emulator. The high fidelity of EuclidEmulator2 is tested in various comparisons against N-body simulations as well as alternative fast predictors like Halofit, HMCode and CosmicEmu. A blind test is successfully performed against the Euclid Flagship v2.0 simulation. Nonlinear correction factors emulated with EuclidEmulator2 are accurate at the level of 1% or better for 0.01 $h$/Mpc $\leq k \leq$ 10 $h$/Mpc and $z\leq3$ compared to high-resolution dark matter only simulations. EuclidEmulator2 is publicly available at https://github.com/miknab/EuclidEmulator2 ., Comment: 28 pages, 19 figures, submitted to MNRAS
- Published
- 2020
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