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Found 18 entries in the Bibliography.
Showing entries from 1 through 18
| 2023 |
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\ Aims: We applied the quasi-thermal noise (QTN) method to Parker Solar Probe (PSP) observations to derive the total electron temperature (T$_e$). We combined a set of encounters to make up a 12-day period of observations around each perihelion from encounter one (E01) to ten (E10), with E08 not included. Here, the heliocentric distance varies from about 13 to 60 solar radii (R$_\ensuremath\odot$). \ Methods: The QTN technique is a reliable tool to yield accurate measurements of the electron parameters in the solar wind. We ... Liu, M.; Issautier, K.; Moncuquet, M.; Meyer-Vernet, N.; Maksimovic, M.; Huang, J.; Martinovic, M.~M.; Griton, L.; Chrysaphi, N.; Jagarlamudi, V.~K.; Bale, S.~D.; Pulupa, M.; Kasper, J.~C.; Stevens, M.~L.; Published by: \aap Published on: jun YEAR: 2023 DOI: 10.1051/0004-6361/202245450 Parker Data Used; Solar wind; Sun: heliosphere; Sun: corona; methods: data analysis; plasmas; acceleration of particles; Astrophysics - Solar and Stellar Astrophysics; Physics - Space Physics |
| 2022 |
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Context. Solar Orbiter and Parker Solar Probe jointly observed the solar wind for the first time in June 2020, capturing data from very different solar wind streams: calm, Alfv\ enic wind and also highly dynamic large-scale structures. Context. Our aim is to understand the origin and characteristics of the highly dynamic solar wind observed by the two probes, particularly in the vicinity of the heliospheric current sheet (HCS). \ Methods: We analyzed the plasma data obtained by Parker Solar Probe and Solar Orbiter in situ du ... Réville, V.; Fargette, N.; Rouillard, A.~P.; Lavraud, B.; Velli, M.; Strugarek, A.; Parenti, S.; Brun, A.~S.; Shi, C.; Kouloumvakos, A.; Poirier, N.; Pinto, R.~F.; Louarn, P.; Fedorov, A.; Owen, C.~J.; enot, V.; Horbury, T.~S.; Laker, R.; Brien, H.; Angelini, V.; Fauchon-Jones, E.; Kasper, J.~C.; Published by: \aap Published on: mar YEAR: 2022 DOI: 10.1051/0004-6361/202142381 Parker Data Used; Solar wind; magnetohydrodynamics (MHD); magnetic reconnection; methods: numerical; methods: data analysis; Astrophysics - Solar and Stellar Astrophysics; Physics - Plasma Physics |
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An analytical model for dust impact voltage signals and its application to STEREO/WAVES data Context. Dust impacts have been observed using radio and wave instruments onboard spacecraft since the 1980s. Voltage waveforms show typical impulsive signals generated by dust grains. \ Aims: We aim at developing models of how signals are generated to be able to link observed electric signals to the physical properties of the impacting dust. To validate the model, we use the Time Domain Sampler (TDS) subsystem of the STEREO/WAVES instrument which generates high- cadence time series of voltage pulses for each monopole. \ Met ... Babic, Rackovic; Zaslavsky, A.; Issautier, K.; Meyer-Vernet, N.; Onic, D.; Published by: \aap Published on: mar YEAR: 2022 DOI: 10.1051/0004-6361/202142508 Solar wind; Sun: heliosphere; methods: analytical; methods: data analysis; meteorites; meteors; Meteoroids; Interplanetary medium |
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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 |
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MHD-scale anisotropy in solar wind turbulence near the Sun using Parker solar probe data Recent Parker Solar Probe (PSP) observations have shown the presence of sudden reversals in the radial magnetic field, known as switchbacks. Applying a method based on wavelet analysis, here we study the nature of power and spectral-index anisotropies in switchback and non-switchback intervals using PSP data. While a similar spectral-index anisotropy, consistent with critical balance, is found in the switchback and non-switchback intervals, power anisotropy is more enhanced in the non- switchback samples. This result may be ... Sakshee, Sakshee; Bandyopadhyay, Riddhi; Banerjee, Supratik; Published by: \mnras Published on: jul YEAR: 2022 DOI: 10.1093/mnras/stac1449 Parker Data Used; MHD; turbulence; methods: data analysis; Solar wind |
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Context. The opacity of the ionosphere prevents comprehensive Earth- based surveys of low frequency \ensuremath\nu \ensuremath\lesssim 10 MHz astrophysical radio emissions. The limited available data in this frequency regime show a downturn in the mean sky brightness at \ensuremath\nu \ensuremath\lesssim 3 MHz in a divergence from the synchrotron emission power-law that is observed at higher frequencies. The turning over of the spectrum coincides with a shift in the region of maximum brightness from the Galactic plane to the ... Page, B.; Bassett, N.; Lecacheux, A.; Pulupa, M.; Rapetti, D.; Bale, S.~D.; Published by: \aap Published on: dec YEAR: 2022 DOI: 10.1051/0004-6361/202244621 Parker Data Used; radio continuum: ISM; Galaxy: disk; opacity; methods: data analysis |
| 2021 |
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Context. Alfv\ enic fluctuations are ubiquitous features observed in solar wind, especially in the inner heliosphere. However, strong Alfv\ enic fluctuations are recovered in the near-Earth solar wind too, mainly in fast streams, but also in some cases in slow wind intervals, as highlighted in recent studies. \ Aims: The present study focuses on a statistical comparison between different phases of solar cycles 23 and 24 with regard to the Alfv\ enic content of solar wind fluctuations. Particular attention is devoted to the A ... Amicis, R.; Alielden, K.; Perrone, D.; Bruno, R.; Telloni, D.; Raines, J.~M.; Lepri, S.~T.; Zhao, L.; Published by: \aap Published on: oct YEAR: 2021 DOI: 10.1051/0004-6361/202140600 Parker Data Used; plasmas; Sun: heliosphere; Solar wind; turbulence; methods: data analysis; Interplanetary medium |
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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 |
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One of the key challenges in solar and heliospheric physics is to understand the acceleration of the solar wind. As a super-sonic, super-Alfv\ enic plasma flow, the solar wind carries mass, momentum, energy, and angular momentum from the Sun into interplanetary space. We present a framework based on two-fluid magnetohydrodynamics to estimate the flux of these quantities based on spacecraft data independent of the heliocentric distance of the location of measurement. Applying this method to the Ulysses dataset allows us to st ... Verscharen, Daniel; Bale, Stuart; Velli, Marco; Published by: \mnras Published on: jul YEAR: 2021 DOI: 10.1093/mnras/stab2051 Solar wind; Sun: heliosphere; Magnetohydrodynamics; plasmas; methods: data analysis |
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First Solar Orbiter observation of the Alfv\ enic slow wind and identification of its solar source Context. Turbulence dominated by large-amplitude, nonlinear Alfv\ en-like fluctuations mainly propagating away from the Sun is ubiquitous in high-speed solar wind streams. Recent studies have demontrated that slow wind streams may also show strong Alfv\ enic signatures, especially in the inner heliosphere. \ Aims: The present study focuses on the characterisation of an Alfv\ enic slow solar wind interval observed by Solar Orbiter between 14 and 18 July 2020 at a heliocentric distance of 0.64 AU. \ Methods: Our analysis is ba ... Amicis, R.; Bruno, R.; Panasenco, O.; Telloni, D.; Perrone, D.; Marcucci, M.~F.; Woodham, L.; Velli, M.; De Marco, R.; Jagarlamudi, V.; Coco, I.; Owen, C.; Louarn, P.; Livi, S.; Horbury, T.; e, Andr\; Angelini, V.; Evans, V.; Fedorov, A.; Genot, V.; Lavraud, B.; Matteini, L.; Müller, D.; Brien, H.; Pezzi, O.; Rouillard, A.~P.; Sorriso-Valvo, L.; Tenerani, A.; Verscharen, D.; Zouganelis, I.; Published by: \aap Published on: dec YEAR: 2021 DOI: 10.1051/0004-6361/202140938 Parker Data Used; Interplanetary medium; Solar wind; methods: data analysis; magnetohydrodynamics (MHD); turbulence; Sun: general |
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Context. Solar Orbiter was launched on 10 February 2020 with the purpose of investigating solar and heliospheric physics using a payload of instruments designed for both remote and in situ studies. Similar to the recently launched Parker Solar Probe, and unlike earlier missions, Solar Orbiter carries instruments designed to measure low-frequency DC electric fields. \ Aims: In this paper, we assess the quality of the low-frequency DC electric field measured by the Radio and Plasma Waves instrument (RPW) on Solar Orbiter. In p ... Steinvall, K.; Khotyaintsev, Yu.; Cozzani, G.; Vaivads, A.; Yordanova, E.; Eriksson, A.~I.; Edberg, N.~J.~T.; Maksimovic, M.; Bale, S.~D.; Chust, T.; Krasnoselskikh, V.; Kretzschmar, M.; Lorfèvre, E.; Plettemeier, D.; Sou\vcek, J.; Steller, M.; ak, \vS.; Vecchio, A.; Horbury, T.~S.; Brien, H.; Evans, V.; Fedorov, A.; Louarn, P.; enot, V.; e, Andr\; Lavraud, B.; Rouillard, A.~P.; Owen, C.~J.; Published by: \aap Published on: dec YEAR: 2021 DOI: 10.1051/0004-6361/202140855 Parker Data Used; Solar wind; plasmas; magnetic reconnection; methods: data analysis; Physics - Space Physics; Astrophysics - Solar and Stellar Astrophysics; Physics - Plasma Physics |
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Discontinuity analysis of the leading switchback transition regions Context. Magnetic switchbacks are magnetic structures characterized as intervals of sudden reversal in the radial component of the pristine solar wind s magnetic field. Switchbacks comprise of magnetic spikes that are preceded and succeeded by switchback transition regions within which the radial magnetic field reverses. Determining switchback generation and evolution mechanisms will further our understanding of the global circulation and transportation of the Sun s open magnetic flux. Akhavan-Tafti, M.; Kasper, J.; Huang, J.; Bale, S.; Published by: Astronomy and Astrophysics Published on: 06/2021 YEAR: 2021 DOI: 10.1051/0004-6361/202039508 magnetic reconnection; magnetic fields; Solar wind; methods: data analysis; magnetohydrodynamics (MHD); instabilities; Parker Data Used |
| 2018 |
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On slow solar wind with high Alfv\ enicity: from composition and microphysics to spectral properties Alfv\ enic fluctuations are very common features in the solar wind and are found especially within the main portion of fast-wind streams while the slow wind usually is less Alfv\ enic and more variable. In general, the fast and slow winds show many differences, which span from the large-scale structure to small-scale phenomena, including also a different turbulent behaviour. Recent studies, however, have shown that even the slow wind can sometimes be highly Alfv\ enic, with fluctuations as large as those of the fast wind. ... D’Amicis, Raffaella; Matteini, Lorenzo; Bruno, Roberto; Published by: Monthly Notices of the Royal Astronomical Society Published on: 3/2019 YEAR: 2018 DOI: 10.1093/mnras/sty3329 Astrophysics - Solar and Stellar Astrophysics; methods: data analysis; parker solar probe; Physics - Data Analysis; Physics - Plasma Physics; Physics - Space Physics; Solar Probe Plus; Solar wind; Statistics and Probability; turbulence |
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Evidence for a Circumsolar Dust Ring Near Mercury\textquoterights Orbit To test a technique to be used on the white-light imager onboard the recently launched Parker Solar Probe mission, we performed a numerical differentiation of the brightness profiles along the photometric axis of the F-corona models that are derived from STEREO Ahead Sun Earth Connection Heliospheric Investigation observations recorded with the HI-1 instrument between 2007 December and 2014 March. We found a consistent pattern in the derivatives that can be observed from any S/C longitude between about 18\textdegree and 2 ... Stenborg, Guillermo; Stauffer, Johnathan; Howard, Russell; Published by: The Astrophysical Journal Published on: 11/2018 YEAR: 2018 DOI: 10.3847/1538-4357/aae6cb 169P\&NEAT; 73P\&Schwassmann-Wachmann 3; comets: individual: 2P\&Encke; methods: data analysis; Parker Data Used; parker solar probe; Solar Probe Plus; techniques: image processing; zodiacal dust |
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Solar Wind Turbulence Studies Using MMS Fast Plasma Investigation Data Bandyopadhyay, Riddhi; Chasapis, A.; Chhiber, R.; Parashar, T.~N.; Maruca, B.~A.; Matthaeus, W.~H.; Schwartz, S.~J.; Eriksson, S.; Le Contel, O.; Breuillard, H.; Burch, J.~L.; Moore, T.~E.; Pollock, C.~J.; Giles, B.~L.; Paterson, W.~R.; Dorelli, J.; Gershman, D.~J.; Torbert, R.~B.; Russell, C.~T.; Strangeway, R.~J.; Published by: \apj Published on: 10/2018 YEAR: 2018 DOI: 10.3847/1538-4357/aade93 Parker Data Used; magnetohydrodynamics: MHD; methods: data analysis; methods: statistical; plasmas; Solar wind; turbulence; Physics - Space Physics |
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Stenborg, Guillermo; Howard, Russell; Stauffer, Johnathan; Published by: \apj Published on: 08/2018 YEAR: 2018 DOI: 10.3847/1538-4357/aacea3 Parker Data Used; methods: data analysis; scattering; Sun: corona; techniques: image processing; zodiacal dust |
| 2017 |
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Stenborg, Guillermo; Howard, Russell; Published by: \apj Published on: 10/2017 YEAR: 2017 DOI: 10.3847/1538-4357/aa8ef0 Parker Data Used; methods: data analysis; Sun: corona; techniques: image processing |
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White-light coronal and heliospheric imagers observe scattering of photospheric light from both dust particles (the F-Corona) and free electrons in the corona (the K-corona). The separation of the two coronae is thus vitally important to reveal the faint K-coronal structures (e.g., streamers, co-rotating interaction regions, coronal mass ejections, etc.). However, the separation of the two coronae is very difficult, so we are content in defining a background corona that contains the F- and as little K- as possible. For bo ... Stenborg, Guillermo; Howard, Russell; Published by: The Astrophysical Journal Published on: 04/2017 YEAR: 2017 DOI: 10.3847/1538-4357/aa6a12 methods: data analysis; parker solar probe; Solar Probe Plus; Sun: corona; Sun: coronal mass ejections: CMEs; techniques: image processing |
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