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Thanks to space-borne experiments of cosmic-ray (CR) detection, such as the AMS and PAMELA missions in low-Earth orbit, or the Voyager-1 spacecraft in the interstellar space, a large collection of multi-channel and time-resolved CR data has…

高能天体物理现象 · 物理学 2019-07-01 Nicola Tomassetti , Fernando Barão , Bruna Bertucci , Emanuele Fiandrini , Miguel Orcinha

We extend the diffusion-map formalism to data sets that are induced by asymmetric kernels. Analytical convergence results of the resulting expansion are proved, and an algorithm is proposed to perform the dimensional reduction. In this work…

机器学习 · 计算机科学 2024-01-24 Alvaro Almeida Gomez , Antonio Silva Neto , Jorge zubelli

In time-distance helioseismology, information about the solar interior is encoded in measurements of travel times between pairs of points on the solar surface. Travel times are deduced from the cross-covariance of the random wave field.…

太阳与恒星天体物理 · 物理学 2014-09-05 Damien Fournier , Laurent Gizon , Thorsten Hohage , Aaron C. Birch

Context. The frequencies, lifetimes, and eigenfunctions of solar acoustic waves are affected by turbulent convection, which is random in space and in time. Since the correlation time of solar granulation and the periods of acoustic waves…

太阳与恒星天体物理 · 物理学 2020-11-25 P. -L. Poulier , D. Fournier , L. Gizon , T. L. Duvall

Millimter (mm) frequencies are primarily sensitive to thermal emission from layers across the stellar chromosphere up to the transition region, while metrewave (radio) frequencies probe the coronal heights. Together the mm and radio band…

太阳与恒星天体物理 · 物理学 2025-10-16 Atul Mohan

Time-distance helioseismology is the method of the study of the propagation of waves through the solar interior via the travel times of those waves. The travel times of wave packets contain information about the conditions in the interior…

太阳与恒星天体物理 · 物理学 2019-02-20 David Korda , Michal Švanda

Selecting an appropriate kernel is a central challenge in kernel-based spectral methods. In \emph{Kernelized Diffusion Maps} (KDM), the kernel determines the accuracy of the RKHS estimator of a diffusion-type operator and hence the quality…

机器学习 · 统计学 2026-04-21 Othmane Aboussaad , Adam Miraoui , Boumediene Hamzi , Houman Owhadi

Kernel theorems, in general, provide a convenient representation of bounded linear operators. For the operator acting on a concrete function space, this means that its action on any element of the space can be expressed as a generalised…

泛函分析 · 数学 2024-05-22 Dimitri Bytchenkoff , Michael Speckbacher , Peter Balazs

Optimal frequency identification in astronomical datasets is crucial for variable star studies, exoplanet detection, and asteroseismology. Traditional period-finding methods often rely on specific parametric assumptions, employ binning…

天体物理仪器与方法 · 物理学 2024-06-12 F. Stoppa , C. Johnston , E. Cator , G. Nelemans , P. J. Groot

Kernel smoothing is a highly flexible and popular approach for estimation of probability density and intensity functions of continuous spatial data. In this role it also forms an integral part of estimation of functionals such as the…

统计方法学 · 统计学 2017-07-24 Tilman M. Davies , Jonathan C. Marshall , Martin L. Hazelton

Anomalous heat transport observed in low dimensional classical systems is associated to super-diffusive spreading of space-time correlation of the conserved fields in the system. This leads to non-local linear response relation between the…

统计力学 · 物理学 2023-09-29 Anupam Kundu

We use a support vector regressor based on a projected quantum kernel method to predict the density structure of 1D fermionic systems of interest in quantum chemistry and quantum matter. The kernel is built on with the observables of a…

量子物理 · 物理学 2025-09-01 Francesco Perciavalle , Francesco Plastina , Michele Pisarra , Nicola Lo Gullo

Using a high cadence imaging spectropolarimetric observation of a sunspot and its surroundings in magnetically sensitive (FeI 6173 A) and insensitive (FeI 7090 A) upper photospheric absorption lines, we map the instantaneous wave phases and…

太阳与恒星天体物理 · 物理学 2010-09-14 S. P. Rajaguru , R. Wachter , K. Sankarasubramanian , S. Couvidat

In this paper we investigate the long-time behavior of the subordination of the constant speed traveling waves by a general class of kernels. We use the Feller--Karamata Tauberian theorem in order to study the long-time behavior of the…

概率论 · 数学 2021-04-02 Yuri Kondratiev , José Luís da Silva

Using a fully Bayesian approach, Gaussian Process regression is extended to include marginalisation over the kernel choice and kernel hyperparameters. In addition, Bayesian model comparison via the evidence enables direct kernel comparison.…

宇宙学与河外天体物理 · 物理学 2024-02-13 Namu Kroupa , David Yallup , Will Handley , Michael Hobson

Extreme-ultraviolet and X-ray jets occur frequently in magnetically open coronal holes on the Sun, especially at high solar latitudes. Some of these jets are observed by white-light coronagraphs as they propagate through the outer corona…

太阳与恒星天体物理 · 物理学 2017-03-15 Vadim M. Uritsky , Merrill A. Roberts , C. Richard DeVore , Judith T. Karpen

It is well known that the observed amplitude of solar oscillations is lower in sunspots than in quiet regions of the Sun. We show that this local reduction in oscillation amplitudes combined with the phase-speed filtering procedure in…

天体物理学 · 物理学 2009-11-11 S. P. Rajaguru , A. C. Birch , T. L. Duvall , M. J. Thompson , J. Zhao

Flare ribbons form when energy released by coronal magnetic reconnection is deposited in the low solar atmosphere, so by studying the dynamics of flare ribbons, one obtains an indirect measurement of reconnection. Our aim is to quantify the…

太阳与恒星天体物理 · 物理学 2026-05-13 Hannah Collier , Säm Krucker , Laura A. Hayes , Emil Kraaikamp , David Berghmans , Daniel F. Ryan

About 1/3 of X-ray-luminous clusters show smooth, Mpc-scale radio emission, known as giant radio haloes. One promising model for radio haloes is Fermi-II acceleration of seed relativistic electrons by compressible turbulence. The origin of…

高能天体物理现象 · 物理学 2017-01-11 Anders Pinzke , S. Peng Oh , Christoph Pfrommer

This article presents a general framework for the transport of probability measures towards minimum divergence generative modeling and sampling using ordinary differential equations (ODEs) and Reproducing Kernel Hilbert Spaces (RKHSs),…

机器学习 · 统计学 2024-02-14 Biraj Pandey , Bamdad Hosseini , Pau Batlle , Houman Owhadi