English
Related papers

Related papers: Exploring the time variability of the Solar Wind u…

200 papers

This study explores the behavior of machine learning-based flare forecasting models deployed in a simulated operational environment. Using Georgia State University's Space Weather Analytics for Solar Flares benchmark dataset (Angryk et al.…

Solar and Stellar Astrophysics · Physics 2024-02-09 Griffin T. Goodwin , Viacheslav M. Sadykov , Petrus C. Martens

The solar wind is a medium characterized by strong turbulence and significant field fluctuations on various scales. Recent observations have revealed that magnetic turbulence exhibits a self-similar behavior. Similarly, high-resolution…

Space Physics · Physics 2025-08-20 Dario Javier Zamora , Facundo Abaca , Bruno Zossi , Ana Georgina Elias

Pulsar timing arrays (PTAs) are designed to detect low-frequency gravitational waves (GWs). GWs induce achromatic signals in PTA data, meaning that the timing delays do not depend on radio-frequency. However, pulse arrival times are also…

Solar type III radio bursts contain a wealth of information about the dynamics of electron beams in the solar corona and the inner heliosphere; currently unobtainable through other means. However, the motion of different regions of an…

Solar and Stellar Astrophysics · Physics 2018-06-20 Hamish A. S. Reid , Eduard P. Kontar

The radio millisecond pulsar PSR J1023+0038 exhibits complex timing and eclipse behavior. Here we analyze four years' worth of radio monitoring observations of this object. We obtain a long-term timing solution, albeit with large residual…

High Energy Astrophysical Phenomena · Physics 2013-11-21 Anne M. Archibald , Victoria M. Kaspi , Jason W. T. Hessels , Ben Stappers , Gemma Janssen , Andrew Lyne

In this work we review the application of the theory of Gaussian processes to the modeling of noise in pulsar-timing data analysis, and we derive various useful and optimized representations for the likelihood expressions that are needed in…

General Relativity and Quantum Cosmology · Physics 2014-11-19 Rutger van Haasteren , Michele Vallisneri

Pulsar timing array projects measure the pulse arrival times of millisecond pulsars for the primary purpose of detecting nanohertz-frequency gravitational waves. The measurements include contributions from a number of astrophysical and…

Here we present a Bayesian method of including discrete measurements of dispersion measure due to the interstellar medium in the direction of a pulsar as prior information in the analysis of that pulsar. We use a simple simulation to show…

Instrumentation and Methods for Astrophysics · Physics 2013-12-10 Lindley Lentati , Paul Alexander , Michael P. Hobson

Studying solar wind conditions is central to forecasting impact of space weather on Earth. Under the assumption that the structure of this wind is constant in time and corotates with the Sun, solar wind and thereby space weather forecasts…

Solar and Stellar Astrophysics · Physics 2023-01-30 Nachiketa Chakraborty , Harriet Turner , Mathew Owens , Matthew Lang

Aims: Our goal is to develop methodologies to seamlessly track transient solar wind flows viewed by coronagraphs or heliospheric imagers from rapidly varying viewpoints. Methods: We constructed maps of intensity versus time and elongation…

Solar and Stellar Astrophysics · Physics 2021-06-02 A. Nindos , S. Patsourakos , A. Vourlidas , P. C. Liewer , P. Penteado , J. R. Hall

Accurately representing surface weather at the sub-kilometer scale is crucial for optimal decision-making in a wide range of applications. This motivates the use of statistical techniques to provide accurate and calibrated probabilistic…

Atmospheric and Oceanic Physics · Physics 2024-11-15 Francesco Zanetta , Daniele Nerini , Matteo Buzzi , Henry Moss

We present a four-category classification algorithm for the solar wind, based on Gaussian Process. The four categories are the ones previously adopted in Xu & Borovsky [2015]: ejecta, coronal hole origin plasma, streamer belt origin plasma,…

Space Physics · Physics 2017-12-27 Enrico Camporeale , Algo Carè , Joseph E. Borovsky

Recent low-frequency array (LOFAR) radio signal detections bearing from the $\tau$ Bo\"otis system have been cautiously attributed to auroral emissions from the hot Jupiter $\tau$ Bo\"otis Ab. The auroral emissions are believed to be…

Earth and Planetary Astrophysics · Physics 2025-11-21 Dag Evensberget , Aline A. Vidotto , Filip Elekes , Sandra V. Jeffers , Rik T. Luisman

Using wavelet analysis approach, the temporal variations of solar activity on time scales ranging from days to decades, are examined from the daily time series of sunspot numbers. A hierarchy of changing complex periods are careful detected…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Stefano Sello

Aims: We present the first measurements of the solar-wind angular-momentum (AM) flux recorded by the Solar Orbiter spacecraft. Our aim is the validation of these measurements to support future studies of the Sun's AM loss. Methods: We…

Wind farm design primarily depends on the variability of the wind turbine wake flows to the atmospheric wind conditions, and the interaction between wakes. Physics-based models that capture the wake flow-field with high-fidelity are…

Machine Learning · Computer Science 2021-11-17 S. Ashwin Renganathan , Romit Maulik , Stefano Letizia , Giacomo Valerio Iungo

An important factor limiting our ability to understand the production and propagation of cosmic rays pertains to the effects of heliospheric forces, commonly known as solar modulation. The solar wind is capable of generating time and…

Solar and Stellar Astrophysics · Physics 2016-11-28 Ilias Cholis , Dan Hooper , Tim Linden

Electric field measurements of the Time Domain Sampler (TDS) receiver, part of the Radio and Plasma Waves (RPW) instrument on board Solar Orbiter, often exhibit very intense broadband wave emissions at frequencies below 20~kHz in the…

As renewable distributed energy resources (DERs) penetrate the power grid at an accelerating speed, it is essential for operators to have accurate solar photovoltaic (PV) energy forecasting for efficient operations and planning. Generally,…

Machine Learning · Statistics 2017-09-26 Hossein Sangrody , Morteza Sarailoo , Ning Zhou , Nhu Tran , Mahdi Motalleb , Elham Foruzan