PSP Bibliography | Parker Solar Probe Science Gateway

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Found 6 entries in the Bibliography.

Showing entries from 1 through 6

2022

Analysis of the Distribution, Rotation and Scale Characteristics of Solar Wind Switchbacks: Comparison between the First and Second Encounters of Parker Solar Probe

The S-shaped magnetic structure in the solar wind formed by the twisting of magnetic field lines is called a switchback, whose main characteristics are the reversal of the magnetic field and the significant increase in the solar wind radial velocity. We identify 242 switchbacks during the first two encounters of Parker Solar Probe. Statistics methods are applied to analyze the distribution and the rotation angle and direction of the magnetic field rotation of the switchbacks. The diameter of switchbacks is estimated with a m ...

Meng, Ming-Ming; Liu, Ying; Chen, Chong; Wang, Rui;

Published by: Research in Astronomy and Astrophysics Published on: mar

YEAR: 2022 DOI: 10.1088/1674-4527/ac49e4

Parker Data Used; ISM: magnetic fields; methods: statistical; (Sun:) solar wind; Astrophysics - Solar and Stellar Astrophysics; Physics - Space Physics

The preferential orientation of magnetic switchbacks and its implications for solar magnetic flux transport

Context. Magnetic switchbacks in the solar wind are large deflections of the magnetic field vector, which often reverse their radial component, and are associated with a velocity spike consistent with their Alfv\ enic nature. The Parker Solar Probe (PSP) mission revealed them to be a dominant feature of the near-Sun solar wind. Where and how they are formed remains unclear and subject to discussion. \ Aims: We investigate the orientation of the magnetic field deflections in switchbacks to determine if they are characterized ...

Fargette, Na; Lavraud, Benoit; Rouillard, Alexis; eville, Victor; Bale, Stuart; Kasper, Justin;

Published by: \aap Published on: jul

YEAR: 2022 DOI: 10.1051/0004-6361/202243537

Parker Data Used; Solar wind; Sun: magnetic fields; Sun: corona; Sun: photosphere; methods: data analysis; methods: statistical; Astrophysics - Solar and Stellar Astrophysics; Physics - Space Physics

2021

A powerful machine learning technique to extract proton core, beam, and \ensuremath\alpha-particle parameters from velocity distribution functions in space plasmas

Context. The analysis of the thermal part of velocity distribution functions (VDFs) is fundamentally important for understanding the kinetic physics that governs the evolution and dynamics of space plasmas. However, calculating the proton core, beam, and \ensuremath\alpha-particle parameters for large data sets of VDFs is a time-consuming and computationally demanding process that always requires supervision by a human expert. \ Aims: We developed a machine learning tool that can extract proton core, beam, and \ensuremath\al ...

Vech, D.; Stevens, M.~L.; Paulson, K.~W.; Malaspina, D.~M.; Case, A.~W.; Klein, K.~G.; Kasper, J.~C.;

Published by: \aap Published on: jun

YEAR: 2021 DOI: 10.1051/0004-6361/202141063

Parker Data Used; turbulence; plasmas; waves; methods: statistical; Physics - Space Physics; Astrophysics - Instrumentation and Methods for Astrophysics; Physics - Plasma Physics

Measurement of the open magnetic flux in the inner heliosphere down to 0.13 AU

Context. Robustly interpreting sets of in situ spacecraft data of the heliospheric magnetic field (HMF) for the purpose of probing the total unsigned magnetic flux in the heliosphere is critical for constraining global coronal models as well as understanding the large scale structure of the heliosphere itself. The heliospheric flux (\ensuremath\Phi$_H$) is expected to be a spatially conserved quantity with a possible secular dependence on the solar cycle and equal to the measured radial component of the HMF weighted by the s ...

Badman, Samuel; Bale, Stuart; Rouillard, Alexis; Bowen, Trevor; Bonnell, John; Goetz, Keith; Harvey, Peter; MacDowall, Robert; Malaspina, David; Pulupa, Marc;

Published by: \aap Published on: jun

YEAR: 2021 DOI: 10.1051/0004-6361/202039407

Parker Data Used; Sun: corona; Sun: magnetic fields; Sun: heliosphere; Solar wind; methods: data analysis; methods: statistical; Astrophysics - Solar and Stellar Astrophysics; Physics - Space Physics

2019

Electron Energy Partition across Interplanetary Shocks. I. Methodology and Data Product

Wilson, Lynn; Chen, Li-Jen; Wang, Shan; Schwartz, Steven; Turner, Drew; Stevens, Michael; Kasper, Justin; Osmane, Adnane; Caprioli, Damiano; Bale, Stuart; Pulupa, Marc; Salem, Chadi; Goodrich, Katherine;