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Martian Bow Shock and Magnetic Pileup Boundary Models Based on an Automated Region Identification

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10423275" target="_blank" >RIV/00216208:11320/20:10423275 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=S3mny7UOMH" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=S3mny7UOMH</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1029/2020JA028509" target="_blank" >10.1029/2020JA028509</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Martian Bow Shock and Magnetic Pileup Boundary Models Based on an Automated Region Identification

  • Popis výsledku v původním jazyce

    Empirical models of bow shock and magnetic pileup boundary locations are typically based on the identification of individual boundary crossings and their subsequent fitting by properly chosen dependences. Such an approach, however, requires a large set of identified crossings, whose compilation can be easily a source of a significant bias. Moreover, the method is inherently biased by the spacecraft orbit: the more time the spacecraft spends in a given region, the more likely it is for a crossing to be identified in there. We use a different approach based on an automated region identification and Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft data to derive empirical models of both the bow shock and magnetic pileup boundary locations around Mars. We use statistically known parameters in the solar wind, magnetosheath, and induced magnetosphere, along with the observed ratios of measured solar wind parameters, to automatically identify the region where the spacecraft is located at any given time. A simple empirical relation is then assumed for a boundary shape and location, and its free parameters are adapted to optimize the resulting model classification of individual data points. This procedure allows us to model both the bow shock and magnetic pileup boundary locations, reproducing successfully observed variations with the solar wind dynamic pressure, solar ionizing flux, and crustal magnetic fields. However, due to the sparse data coverage, the models are deemed unreliable beyond the terminator.

  • Název v anglickém jazyce

    Martian Bow Shock and Magnetic Pileup Boundary Models Based on an Automated Region Identification

  • Popis výsledku anglicky

    Empirical models of bow shock and magnetic pileup boundary locations are typically based on the identification of individual boundary crossings and their subsequent fitting by properly chosen dependences. Such an approach, however, requires a large set of identified crossings, whose compilation can be easily a source of a significant bias. Moreover, the method is inherently biased by the spacecraft orbit: the more time the spacecraft spends in a given region, the more likely it is for a crossing to be identified in there. We use a different approach based on an automated region identification and Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft data to derive empirical models of both the bow shock and magnetic pileup boundary locations around Mars. We use statistically known parameters in the solar wind, magnetosheath, and induced magnetosphere, along with the observed ratios of measured solar wind parameters, to automatically identify the region where the spacecraft is located at any given time. A simple empirical relation is then assumed for a boundary shape and location, and its free parameters are adapted to optimize the resulting model classification of individual data points. This procedure allows us to model both the bow shock and magnetic pileup boundary locations, reproducing successfully observed variations with the solar wind dynamic pressure, solar ionizing flux, and crustal magnetic fields. However, due to the sparse data coverage, the models are deemed unreliable beyond the terminator.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10305 - Fluids and plasma physics (including surface physics)

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LTAUSA17070" target="_blank" >LTAUSA17070: Elektromagnetické vlny v planetárních ionosférách a magnetosférách</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Geophysical Research. Space Physics

  • ISSN

    2169-9380

  • e-ISSN

  • Svazek periodika

    125

  • Číslo periodika v rámci svazku

    11

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    16

  • Strana od-do

    e2020JA028509

  • Kód UT WoS článku

    000595859400026

  • EID výsledku v databázi Scopus

    2-s2.0-85096461158