Analyzing the Mars Reconnaissance Orbiter/Shallow Radar Solar Radio Burst Candidates for Subsurface Sounding

Abstract

Solar radio bursts (SRBs) are radio emissions that arise from the complex interaction between energetic electrons and the background plasma. SRB emissions can have a significant impact on the space weather environment and thus on the capabilities, performance, and longevity of our space-based systems. Currently,space-based SRB observations have been dependent on solar observatories such as WIND, STEREO-A, andSTEREO-B. Recently, the use of the Mars Reconnaissance Orbiter (MRO) subsurface sounder Shallow Radar (SHARAD) has been proposed as a potential additional solar radio waves observatory, with initial observations focusing specifically on type III bursts due to having an identifiable characteristic shape. As SHARAD was not originally designed for observing solar radio emissions, the objective of this research isto analyze which physical or systematic properties influence the detection of SRBs in SHARAD data, to determine the potential and limitations of using SHARAD as a solar radio-observatory. These properties include (1) MRO orientation, (2) MRO-Solar observatory orientation, and (3) SRB peak power output.Analyzing SRBs detected by MRO/SHARAD would enhance our understanding of SRB propagation physics and the space weather environment, and thus allow us to more effectively manage our space-based systems. In addition, we highlight the potential use of these bursts as a source for subsurface radio sounding for future terrestrial and Mars missions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1213141

Entities

People

  • Andreas Z Casillas

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Data Mining
  • Detection
  • Dimensionality Reduction
  • Factor Analysis
  • Geophysics
  • Glaciers
  • Global Navigation Satellite Systems
  • Global Positioning Systems
  • Information Science
  • Machine Learning
  • Navigation
  • Radar
  • Space Sciences
  • Space Weather
  • Statistical Analysis
  • Supervised Machine Learning
  • Two Dimensional
  • United States Naval Academy

Readers

  • Aerospace Engineering.
  • Astronomy and Astrophysics.
  • Solar Physics

Technology Areas

  • Microelectronics
  • Space