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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…

Cosmology and Nongalactic Astrophysics · Physics 2021-07-14 Euclid Collaboration , M. Knabenhans , 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. Casas , S. Casas , 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. Courtois , A. Da Silva , S. de la Torre , D. Di Ferdinando , C. A. J. Duncan , X. Dupac , G. Fabbian , S. Farrens , P. G. Ferreira , F. Finelli , M. Frailis , E. Franceschi , S. Galeotta , B. Garilli , C. Giocoli , G. Gozaliasl , J. Graciá-Carpio , F. Grupp , L. Guzzo , W. Holmes , 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. Pires , G. Polenta , M. Poncet , F. Raison , A. Renzi , J. Rhodes , 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

Large scale Density Functional Theory (DFT) based electronic structure calculations are highly time consuming and scale poorly with system size. While semi-empirical approximations to DFT result in a reduction in computational time versus…

Materials Science · Physics 2016-12-21 Ganesh Hegde , R. Chris Bowen

We generalise the SuperEasy linear response method, originally developed to describe massive neutrinos in cosmological $N$-body simulations, to any hot dark matter (HDM) species with arbitrary momentum distributions. The method uses…

Cosmology and Nongalactic Astrophysics · Physics 2024-10-10 Giovanni Pierobon , Markus R. Mosbech , Amol Upadhye , Yvonne Y. Y. Wong

Recently, we have proposed the adaptive local basis set for electronic structure calculations based on Kohn-Sham density functional theory in a pseudopotential framework. The adaptive local basis set is efficient and systematically…

Computational Physics · Physics 2015-10-23 Gaigong Zhang , Lin Lin , Wei Hu , Chao Yang , John E. Pask

The estimation of cosmological parameters from a given data set requires a construction of a likelihood function which, in general, has a complicated functional form. We adopt a Gaussian copula and constructed a copula likelihood function…

Cosmology and Nongalactic Astrophysics · Physics 2010-12-28 Masanori Sato , Kiyotomo Ichiki , Tsutomu T. Takeuchi

Many of the most exciting questions in astrophysics and cosmology, including the majority of observational probes of dark energy, rely on an understanding of the nonlinear regime of structure formation. In order to fully exploit the…

Cosmology and Nongalactic Astrophysics · Physics 2013-05-13 Earl Lawrence , Katrin Heitmann , Martin White , David Higdon , Christian Wagner , Salman Habib , Brian Williams

We present a method for generating suites of dark-matter halo catalogs with only a few $N$-body simulations, focusing on making small changes to the underlying cosmology of a simulation with high precision. In the context of blind…

Cosmology and Nongalactic Astrophysics · Physics 2019-03-26 Lehman H. Garrison , Daniel J. Eisenstein

Under the reproducing kernel Hilbert spaces (RKHS), we consider the penalized least-squares of the partially functional linear models (PFLM), whose predictor contains both functional and traditional multivariate parts, and the multivariate…

Statistics Theory · Mathematics 2022-10-03 Huiming Zhang , Xiaoyu Lei

We present a specific prescription for the calculation of cosmological power spectra, exploited here at two-loop order in perturbation theory (PT), based on the multi-point propagator expansion. In this approach power spectra are…

Cosmology and Nongalactic Astrophysics · Physics 2013-05-30 Atsushi Taruya , Francis Bernardeau , Takahiro Nishimichi , Sandrine Codis

We present Aletheia, a new emulator of the non-linear matter power spectrum, $P(k)$, built upon the evolution mapping framework. This framework addresses the limitations of traditional emulation by focusing on $h$-independent cosmological…

We investigate nonlinear structure formation in the fuzzy dark matter (FDM) model in comparison to cold dark matter (CDM) models from a weak lensing perspective using perturbative methods. We use Eulerian perturbation theory (PT) up to…

Cosmology and Nongalactic Astrophysics · Physics 2023-09-29 Alexander Kunkel , Tzihong Chiueh , Björn Malte Schäfer

We estimate the power spectrum of mass density fluctuations from peculiar velocities of galaxies by applying an improved maximum-likelihood technique to the new all-sky SFI catalog. Parametric models are used for the power spectrum and the…

Reduced density-matrix functional theory (RDMFT) has become an appealing alternative to density-functional theory to describe electronic properties of highly-correlated systems. Here we derive exact conditions for the suitability of RDMFT…

Strongly Correlated Electrons · Physics 2012-04-19 A. Putaja , E. Rasanen

We present $\texttt{matryoshka}$, a suite of neural network based emulators and accompanying Python package that have been developed with the goal of producing fast and accurate predictions of the nonlinear galaxy power spectrum. The suite…

Cosmology and Nongalactic Astrophysics · Physics 2022-02-08 Jamie Donald-McCann , Florian Beutler , Kazuya Koyama , Minas Karamanis

Orbital-free density functional theory (OF-DFT) constitutes a computationally highly effective tool for modeling electronic structures of systems ranging from room-temperature materials to warm dense matter. Its accuracy critically depends…

Kohn-Sham density functional theory (DFT) is the standard method for first-principles calculations in computational chemistry and materials science. More accurate theories such as the random-phase approximation (RPA) are limited in…

Materials Science · Physics 2023-10-25 Stefan Riemelmoser , Carla Verdi , Merzuk Kaltak , Georg Kresse

We compute the weak lensing convergence power spectrum, $C^{\kappa\kappa}(\theta)$, in a dust-filled universe using fully non-linear general relativistic simulations. The spectrum is then compared to more standard, approximate calculations…

Cosmology and Nongalactic Astrophysics · Physics 2017-11-29 John T. Giblin , James B. Mertens , Glenn D. Starkman , Andrew R. Zentner

We derive an energy density functional for non-relativistic spin one-half fermions in the limit of a divergent two-body scattering length. Using an epsilon expansion around d=4-epsilon spatial dimensions we compute the coefficient of the…

Nuclear Theory · Physics 2009-03-24 Gautam Rupak , Thomas Schaefer

We study the evolution of density perturbations for a class of $f(R)$ models which closely mimic $\Lambda$CDM background cosmology. Using the quasi-static approximation, and the fact that these models are equivalent to scalar-tensor…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-19 Stephen A Appleby , Jochen Weller

Conformal prediction provides distribution-free predictive intervals with finite-sample marginal coverage. However, achieving conditional validity and interval efficiency (in terms of short interval length) remains challenging, particularly…

Machine Learning · Statistics 2026-05-06 Ran Zou , Wanrong Zhu , Bin Nan