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相关论文: Mean Back Relaxation for Position and Densities

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Our aim is to identify and classify mean-motion resonances (MMRs) for the coplanar circular restricted three-body problem (CR3BP) for mass ratios between 0.10 and 0.50. Our methods include the maximum Lyapunov exponent, which is used as an…

地球与行星天体物理 · 物理学 2015-06-05 Billy Quarles , Zdzislaw Musielak , Manfred Cuntz

Broad emission lines of active galactic nuclei stem from a spatially extended region (broad-line region, BLR) that is composed of discrete clouds and photoionized by the central ionizing continuum. The temporal behaviors of these emission…

天体物理仪器与方法 · 物理学 2016-12-07 Yan-Rong Li , Jian-Min Wang , Jin-Ming Bai

Multirate characterization of spin responses in nuclear magnetic resonance (NMR) is a promising approach to fingerprinting complex molecules in the presence of multiple relaxation mechanisms. Here we present experimental and theoretical…

量子物理 · 物理学 2026-05-01 Georgiy Baroncha , Alexander Perepukhov , Boris V. Fine

Simultaneous $\gamma$-ray measurements of gamma-ray burst (GRB) spectra and polarization offer a unique way to determine the underlying emission mechanism(s) in these objects as well as probing the particle acceleration mechanism(s) that…

高能天体物理现象 · 物理学 2019-08-13 J. Michael Burgess , M. Kole , F. Berlato , J. Greiner , G. Vianello , N. Produit , Z. H Li , J. C Sun

The methods of Nuclear Magnetic Resonance belong to the best developed and often used tools for studying random motion of particles in different systems, including soft biological tissues. In the long-time limit the current mathematical…

统计力学 · 物理学 2018-03-06 Vladimir Lisy , Jana Tothova

Fractional Brownian motion is a Gaussian stochastic process with stationary, long-time correlated increments and is frequently used to model anomalous diffusion processes. We study numerically fractional Brownian motion confined to a finite…

统计力学 · 物理学 2019-03-22 T. Guggenberger , G. Pagnini , T. Vojta , R. Metzler

Restricted mean survival time (RMST) is an intuitive summary statistic for time-to-event random variables, and can be used for measuring treatment effects. Compared to hazard ratio, its estimation procedure is robust against the…

统计方法学 · 统计学 2023-05-25 Ruizhe Chen , Sanjib Basu , Qian Shi

In this paper, we examine the spacial distribution of gamma-ray bursts (GRBs) using a sample of 373 objects. We subdivide the GRB data into two redshift intervals over the redshift range $0<z< 6.7$. We measure the two-point correlation…

宇宙学与河外天体物理 · 物理学 2015-07-07 Ming-Hua Li , Hai-Nan Lin

We derive equations of motion for the mean-squared displacement (MSD) of an active Brownian particle (ABP) in a crowded environment modeled by a dense system of passive Brownian particles, and of a passive tracer particle in a dense…

软凝聚态物质 · 物理学 2021-07-27 Julian Reichert , Thomas Voigtmann

Mean motion resonances (MMRs) are a generic outcome of convergent migration for bodies embedded in accretion disks around a central mass. Long studied in planetary systems, the same phenomenon should occur for stellar-mass black holes (BHs)…

高能天体物理现象 · 物理学 2025-10-16 Marguerite Epstein-Martin , Nicholas Stone , Juliette Becker

We study the critical level statistics at the many-body localization (MBL) transition region in random spin systems. By employing the inter-sample randomness as indicator, we manage to locate the MBL transition point in both orthogonal and…

无序系统与神经网络 · 物理学 2021-03-02 Wen-Jia Rao

We study the one-dimensional motion of a Brownian particle inside a confinement described by two reactive boundaries which can partially reflect or absorb the particle. Understanding the effects of such boundaries is important in physics,…

统计力学 · 物理学 2021-03-30 Arnab Pal , Isaac Pérez Castillo , Anupam Kundu

Reverberation mapping (RM) is a widely-used method for probing the physics of broad-line regions (BLRs) in active galactic nuclei (AGNs). There are increasing preliminary evidences that the RM behaviors of broad emission lines are…

星系天体物理 · 物理学 2023-01-25 Pu Du , Shuo Zhai , Jian-Min Wang

Recovering unbiased kinetic and thermodynamic observables from the enhanced sampling simulations is a central challenge in rare-event sampling. Classical Girsanov Reweighting (GR) offers a principled solution by yielding exact pathwise…

定量方法 · 定量生物学 2026-04-21 Yan Wang , Hao Wu , Simon Olsson

We study the extreme value statistics of a one-dimensional resetting Brownian motion (RBM) till its first passage through the origin starting from the position $x_0$ ($>0$). By deriving the exit probability of RBM in an interval $\left[0, M…

统计力学 · 物理学 2024-01-26 Wusong Guo , Hao Yan , Hanshuang Chen

A novel multi-resolution technique called border mapping multi-resolution (BMMR) is proposed for projection-based particle methods. The BMMR aims to obtain background equivalent particle distributions in the two sides of a border between…

The lattice Boltzmann method (LBM) is a popular numerical framework to investigate single and multiphase flow though porous media. For estimation of absolute permeability based on micro-tomographic images of the porous medium, the…

计算物理 · 物理学 2019-03-01 Parthib Rao , Laura Schaefer

Characterizing out-of-equilibrium many-body dynamics is a complex but crucial task for quantum applications and the understanding of fundamental phenomena. A central question is the role of localization in quenching quantum thermalization,…

无序系统与神经网络 · 物理学 2018-02-20 Ken Xuan Wei , Chandrasekhar Ramanathan , Paola Cappellaro

We investigate the phenomenon of spatial many-body localization (MBL) through pairwise correlation measures based on one and two-point correlation functions. The system considered is the Heisenberg spin-1/2 chain with exchange interaction…

无序系统与神经网络 · 物理学 2017-07-26 Jaime L. C. da C. Filho , Andreia Saguia , Lea F. Santos , Marcelo S. Sarandy

This paper employs the general time-space fractional diffusion equation to derive correlation time function for analyzing nuclear magnetic resonance (NMR) relaxation. Both the anomalous rotational and translational diffusion are treated.…

化学物理 · 物理学 2018-12-31 Guoxing Lin