中文
相关论文

相关论文: Neutron Resonance Data Exclude Random Matrix Theor…

200 篇论文

Random Matrix Theory (RMT) is applied to analyze the weight matrices of Deep Neural Networks (DNNs), including both production quality, pre-trained models such as AlexNet and Inception, and smaller models trained from scratch, such as…

机器学习 · 计算机科学 2019-01-25 Charles H. Martin , Michael W. Mahoney

We compare the model power spectrum, computed based on perturbation theory (PT) with the power spectrum of luminous red galaxies (LRG) measured from the SDSSDR7 catalog, assuming a flat, CDM-dominated cosmology. The model includes the…

宇宙学与河外天体物理 · 物理学 2011-03-21 Shun Saito , Masahiro Takada , Atsushi Taruya

A deep neural network (DNN) has been developed to generate the distributions of nuclear charge density, utilizing the training data from the relativistic density functional theory and incorporating available experimental charge radii of…

核理论 · 物理学 2024-07-09 Tian Shuai Shang , Hui Hui Xie , Jian Li , Haozhao Liang

Neutrons stars are unique laboratories to discriminate between the various proposed equations of state of matter at and above nuclear density. One sub-class of neutron stars - those inside quiescent low-mass X-ray binaries (qLMXBs) -…

高能天体物理现象 · 物理学 2015-06-22 Sebastien Guillot , Robert E. Rutledge

Random feature mapping (RFM) is a popular method for speeding up kernel methods at the cost of losing a little accuracy. We study kernel ridge regression with random feature mapping (RFM-KRR) and establish novel out-of-sample error upper…

机器学习 · 统计学 2019-09-26 Shusen Wang

If dark energy (DE) couples to neutrinos, then there may be apparent violations of Lorentz/CPT invariance in neutrino oscillations. The DE-induced Lorentz/CPT violation takes a specific form that introduces neutrino oscillations that are…

高能物理 - 唯象学 · 物理学 2010-04-29 Shin'ichiro Ando , Marc Kamionkowski , Irina Mocioiu

Infinite nuclear matter is studied by resuming the series of ladder diagrams based on the results developed by us in Ann. Phys. 437, 168741 (2022). The master formula for the energy density is explicitly solved for the case of contact…

核理论 · 物理学 2023-05-10 J. M. Alarcón , J. A. Oller

Recent results from DESI combined with cosmic microwave background data give the tightest constraints on the sum of neutrino masses to date. However, these analyses approximate the neutrino mass hierarchy by three degenerate-mass (DM)…

宇宙学与河外天体物理 · 物理学 2025-04-11 Laura Herold , Marc Kamionkowski

The $R$-parity-violating Minimal Supersymmetric Standard Model (RPV-MSSM) can naturally accommodate massive neutrinos as required by the oscillation data. However, studying the phenomenology is complicated due to the large number of…

高能物理 - 唯象学 · 物理学 2023-02-08 Herbi K. Dreiner , Dominik Köhler , Saurabh Nangia

Scattering of electromagnetic waves in billiard-like systems has become a standard experimental tool of studying properties associated with Quantum Chaos. Random Matrix Theory (RMT) describing statistics of eigenfrequencies and associated…

无序系统与神经网络 · 物理学 2021-05-11 Yan V Fyodorov

Do two data samples come from different distributions? Recent studies of this fundamental problem focused on embedding probability distributions into sufficiently rich characteristic Reproducing Kernel Hilbert Spaces (RKHSs), to compare…

New observational data, measured with a high degree of accuracy, of compact isolated neutron stars and binary stars in gravitational wave remnants have the potential to explore the strong field gravity. Within the framework of…

广义相对论与量子宇宙学 · 物理学 2024-02-06 Naosad Alam , Subrata Pal , A. Rahmansyah , A. Sulaksono

Atomic experiments bring meaningful and valuable information on fundamental symmetries. The hypothesis of a large ($\sim 100$ eV) P-odd weak matrix element between single-particle states in heavy nuclei is inconsistent with the results of…

核理论 · 物理学 2016-09-08 I. B. Khriplovich

We discuss the possibility of extracting the neutron-neutron scattering length $a_{nn}$ and effective range $r_{nn}$ from cross section data ($d^2\sigma/dM_{nn}/d\Omega_\pi$), as a function of the $nn$ invariant mass $M_{nn}$, for $\pi^+$…

核理论 · 物理学 2020-03-17 Satoshi X. Nakamura , Takatsugu Ishikawa , Toru Sato

A global study of the electric dipole strength in and below the isovector giant dipole resonance (GDR) is presented for mass numbers A>80. It relies on the recently established remarkably good match between data for the nuclear photo effect…

核实验 · 物理学 2008-12-18 A. R. Junghans , G. Rusev , R. Schwengner , A. Wagner , E. Grosse

Assuming a minimal $\Lambda$CDM cosmology with three massive neutrinos, the joint analysis of Planck cosmic microwave background data, DESI baryon acoustic oscillations, and distance moduli measurements of Type Ia supernovae from the…

宇宙学与河外天体物理 · 物理学 2025-12-02 William Giarè , Olga Mena , Enrico Specogna , Eleonora Di Valentino

The masses and radii of neutron stars are discussed in general relativity and scalar-tensor theory of gravity and the differences are compared with the current uncertainties stemming from the nuclear equation of state in the relativistic…

广义相对论与量子宇宙学 · 物理学 2019-07-16 F. J. Fattoyev

The recent release of high-precision cosmological data, particularly the small-scale cosmic microwave background (CMB) measurements from ACT and baryon acoustic oscillation (BAO) data from DESI, has opened a new landscape for probing the…

宇宙学与河外天体物理 · 物理学 2026-04-06 Lu Feng , Tian-Nuo Li , Guo-Hong Du , Jing-Fei Zhang , Xin Zhang

Resonantly produced sterile neutrinos are considered an attractive dark matter (DM) candidate only requiring a minimal, well motivated extension to the standard model of particle physics. With a particle mass restricted to the keV range,…

宇宙学与河外天体物理 · 物理学 2016-05-25 Aurel Schneider

Using the new results on coherent elastic neutrino-nucleus scattering data in cesium-iodide provided by the COHERENT experiment, we determine a new measurement of the average neutron rms radius of $^{133}\text{Cs}$ and $^{127}\text{I}$. In…

高能物理 - 唯象学 · 物理学 2022-01-05 M. Cadeddu , N. Cargioli , F. Dordei , C. Giunti , Y. F. Li , E. Picciau , C. A. Ternes , Y. Y. Zhang