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Some models of modified gravity and their observational manifestations are considered. It is shown, that gravitating systems with mass density rising with time evolve to a singular state with infinite curvature scalar. The universe…

Cosmology and Nongalactic Astrophysics · Physics 2022-03-02 E. V. Arbuzova

We develop an analytical forward model based on perturbation theory to predict the redshift-space galaxy overdensity at the field level given a realization of the initial conditions. We find that the residual noise between the model and…

Cosmology and Nongalactic Astrophysics · Physics 2021-06-02 Marcel Schmittfull , Marko Simonović , Mikhail M. Ivanov , Oliver H. E. Philcox , Matias Zaldarriaga

Models of physics beyond the Standard Model often contain a large number of parameters. These form a high-dimensional space that is computationally intractable to fully explore. Experimental constraints project onto a subspace of viable…

High Energy Physics - Theory · Physics 2022-01-05 Jacob Hollingsworth , Michael Ratz , Philip Tanedo , Daniel Whiteson

In this paper, we introduce and evaluate a data-driven staged mixture modeling technique for building density, regression, and classification models. Our basic approach is to sequentially add components to a finite mixture model using the…

Machine Learning · Computer Science 2013-01-07 Christopher Meek , Bo Thiesson , David Heckerman

We consider the EPR experiment in the energy-based stochastic reduction framework. A gedanken set up is constructed to model the interaction of the particles with the measurement devices. The evolution of particles' density matrix is…

Quantum Physics · Physics 2008-07-17 J. Silman , S. Machnes , S. Shnider , L. P. Horwitz , A. Belenkiy

Retrosynthesis -- the process of identifying a set of reactants to synthesize a target molecule -- is of vital importance to material design and drug discovery. Existing machine learning approaches based on language models and graph neural…

Chemical Physics · Physics 2021-12-10 Ruoxi Sun , Hanjun Dai , Li Li , Steven Kearnes , Bo Dai

Expectation-Maximization (EM) algorithm is a widely used iterative algorithm for computing maximum likelihood estimate when dealing with Gaussian Mixture Model (GMM). When the sample size is smaller than the data dimension, this could lead…

Machine Learning · Statistics 2023-07-06 Pierre Houdouin , Matthieu Jonkcheere , Frederic Pascal

The Proton EDM Experiment (pEDM) is the first direct search for the proton electric dipole moment (EDM) with the aim of being the first experiment to probe the Standard Model (SM) prediction of any particle EDM. Phase-I of pEDM will achieve…

High Energy Physics - Experiment · Physics 2025-04-24 Jim Alexander , Vassilis Anastassopoulos , Grigor Atoian , Rick Baartman , Stefan Baeßler , Franco Bedeschi , John Benante , Martin Berz , Michael Blaskiewicz , Themis Bowcock , Kevin Brown , Dmitry Budker , Sergey Burdin , Brendan C. Casey , Gianluigi Casse , Giovanni Cantatore , Timothy Chupp , Hooman Davoudiasl , Dmitri Denisov , Bhawin Dhital , Milind V. Diwan , Renee Fatemi , George Fanourakis , Wolfram Fischer , Peter Graham , Frederick Gray , Antonios Gardikiotis , Claudio Gatti , James Gooding , Boxing Gou , Selcuk Haciomeroglu , Georg H. Hoffstaetter , Haixin Huang , Marco Incagli , Hoyong Jeong , David Kaplan , Marin Karuza , David Kawall , Alexander Keshavarzi , On Kim , Younggeun Kim , Ivan Koop , Valeri Lebedev , Jonathan Lee , Soohyung Lee , Alberto Lusiani , William J. Marciano , Marios Maroudas , Andrei Matlashov , Francois Meot , James P. Miller , William M. Morse , James Mott , Zhanibek Omarov , Cenap Ozben , Giovanni Maria Piacentino , Matthew Poelker , Dinko Pocanic , Boris Podobedov , Joe Price , Xin Qian , Surjeet Rajendran , Deepak Raparia , Sergio Rescia , B. Lee Roberts , Yannis K. Semertzidis , Alexander Silenko , Amarjit Soni , Edward Stephenson , Riad Suleiman , Michael Syphers , Pia Thoerngren , Volodya Tishchenko , Nicholaos Tsoupas , Spyros Tzamarias , Alessandro Variola , Graziano Venanzoni , Eva Vilella , Joost Vossebeld , Peter Winter , Bogdan Wojtsekhowski , Eunil Won , Konstantin Zioutas

When it comes to searches for extensions to general relativity, large efforts are being dedicated to accurate predictions for the power spectrum of density perturbations. While this observable is known to be sensitive to the gravitational…

Cosmology and Nongalactic Astrophysics · Physics 2017-11-08 Claudio Llinares , Nuala McCullagh

The experiment involving the entanglement of two massive particles through gravitational fields has been devised to discern the quantum attributes of gravity. In this paper, we present a scheme to extend this experiment's applicability to…

General Relativity and Quantum Cosmology · Physics 2024-05-21 Chi Zhang , Fu-Wen Shu

We use measurements from the Planck satellite mission and galaxy redshift surveys over the last decade to test three of the basic assumptions of the standard model of cosmology, $\Lambda$CDM: the spatial curvature of the universe, the…

Cosmology and Nongalactic Astrophysics · Physics 2016-01-20 Shadab Alam , Shirley Ho , Alessandra Silvestri

Sandstorms are frequently accompanied by the generation of intense electric fields and lightning. In a very narrow region close to the ground level, sand particles undergo a charge exchange mechanism whereby larger (resp. smaller) sized…

Fluid Dynamics · Physics 2021-01-27 Mustafa Mutiur Rahman , Wan Cheng , Ravi Samtaney

A proof-of-principle electron electric dipole moment (e-EDM) experiment using slow cesium atoms, nulled magnetic fields, and electric field quantization has been performed. With the ambient magnetic fields seen by the atoms reduced to less…

Atomic Physics · Physics 2008-11-26 Jason M. Amini , Charles T. Munger , Harvey Gould

Two classic field theories of metric gravitation are given as constant-coefficient Exterior Differential Systems (EDS) on the flat orthonormal frame bundle over ten dimensional space. They are derivable by variation of Cartan 4-forms, and…

General Relativity and Quantum Cosmology · Physics 2007-05-23 Frank B. Estabrook

Latent space Energy-Based Models (EBMs), also known as energy-based priors, have drawn growing interests in generative modeling. Fueled by its flexibility in the formulation and strong modeling power of the latent space, recent works built…

Machine Learning · Computer Science 2023-10-06 Peiyu Yu , Sirui Xie , Xiaojian Ma , Baoxiong Jia , Bo Pang , Ruiqi Gao , Yixin Zhu , Song-Chun Zhu , Ying Nian Wu

One of the main science goals of the Large Synoptic Survey Telescope (LSST) is to uncover the nature of cosmic acceleration. In the base analysis, possible deviations from the Lambda-Cold-Dark-Matter ($\Lambda$CDM) background evolution will…

This paper proposes maximum (quasi)likelihood estimation for high dimensional factor models with regime switching in the loadings. The model parameters are estimated jointly by the EM (expectation maximization) algorithm, which in the…

Econometrics · Economics 2023-04-11 Giovanni Urga , Fa Wang

The evolved cosmological matter density field is fully determined by the initial matter density field at fixed cosmological parameters. However, the two-dimensional cosmological projected matter density field, relevant for weak-lensing and…

Cosmology and Nongalactic Astrophysics · Physics 2025-10-17 Kevin Hong , Rugved Pund , Anže Slosar

We review a set of the possible ways to constrain extended gravity models at Galaxy clusters scales (the regime of dark energy explanations and comparison with $\Lambda CDM$), for black hole shadows, gravitational wave astronomy, binary…

General Relativity and Quantum Cosmology · Physics 2022-05-17 Stanislav Alexeyev , Vyacheslav Prokopov

We consider a linearly elastic composite medium, which consists of a homogeneous matrix containing a statistically homogeneous set of multimodal spherical inclusions modeling the morphology of heterogeneous solid propellants (HSP).…

Materials Science · Physics 2012-09-21 V. A. Buryachenko