Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data
Abstract The Solar Dynamics Observatory (SDO) is a solar mission in an inclined geosynchronous orbit. Since commissioning, images acquired by Atmospheric Imaging Assembly (AIA) instrument on‐board the SDO have frequently displayed “spikes,” pixel regions yielding extreme number of digital counts. Th...
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Wiley
2023-03-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2022SW003310 |
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| author | Spiridon Kasapis Barbara J. Thompson Juan V. Rodriguez Raphael Attie Gonzalo Cucho‐Padin Daniel daSilva Meng Jin William D. Pesnell |
| author_facet | Spiridon Kasapis Barbara J. Thompson Juan V. Rodriguez Raphael Attie Gonzalo Cucho‐Padin Daniel daSilva Meng Jin William D. Pesnell |
| author_sort | Spiridon Kasapis |
| collection | DOAJ |
| description | Abstract The Solar Dynamics Observatory (SDO) is a solar mission in an inclined geosynchronous orbit. Since commissioning, images acquired by Atmospheric Imaging Assembly (AIA) instrument on‐board the SDO have frequently displayed “spikes,” pixel regions yielding extreme number of digital counts. These are theorized to occur from energetic electron collisions with the instrument detector system. These spikes are regularly removed from AIA Level 1.0 images to produce clean and reliable data. A study of historical data has found over 100 trillion spikes in the past decade. This project correlates spike detection frequency with radiation environment parameters in order to generate an augmented data product from SDO. We conduct a correlation study between SDO/AIA data and radiation belt activity within the SDO's orbit. By extracting radiation “spike” data from the SDO/AIA images, we produce a comprehensive data product which is correlated not only with geomagnetic parameters such as Kp, Ap, and Sym‐H but also with the electron and proton fluxes measured by the GOES‐14 satellite. As a result, we find that AIA spikes are highly correlated with the GOES‐14 electrons detected by the magnetospheric electron detector and energetic proton, electron and alpha detectors instruments at the equator (where the two satellites meet) with Spearman's Correlation values of ρ = 0.73 and ρ = 0.53, respectively, while a weaker correlation of ρ = 0.47 is shown with magnetospheric proton detector protons for the 2 year period where both missions returned data uninterruptedly. This correlation proves that the SDO spike data can be proven useful for characterizing the Van Allen radiation belt, especially at areas where other satellites cannot. |
| format | Article |
| id | doaj-art-bd3780851ec74c3a979e41f1d78faef6 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-bd3780851ec74c3a979e41f1d78faef62025-01-14T16:27:17ZengWileySpace Weather1542-73902023-03-01213n/an/a10.1029/2022SW003310Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes DataSpiridon Kasapis0Barbara J. Thompson1Juan V. Rodriguez2Raphael Attie3Gonzalo Cucho‐Padin4Daniel daSilva5Meng Jin6William D. Pesnell7Solar Physics Laboratory NASA Goddard Space Flight Center Greenbelt MD USASolar Physics Laboratory NASA Goddard Space Flight Center Greenbelt MD USACooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder CO USASolar Physics Laboratory NASA Goddard Space Flight Center Greenbelt MD USADepartment of Physics Catholic University of America Washington DC USASolar Physics Laboratory NASA Goddard Space Flight Center Greenbelt MD USALockheed Martin Solar and Astrophysics Laboratory Palo Alto CA USASolar Physics Laboratory NASA Goddard Space Flight Center Greenbelt MD USAAbstract The Solar Dynamics Observatory (SDO) is a solar mission in an inclined geosynchronous orbit. Since commissioning, images acquired by Atmospheric Imaging Assembly (AIA) instrument on‐board the SDO have frequently displayed “spikes,” pixel regions yielding extreme number of digital counts. These are theorized to occur from energetic electron collisions with the instrument detector system. These spikes are regularly removed from AIA Level 1.0 images to produce clean and reliable data. A study of historical data has found over 100 trillion spikes in the past decade. This project correlates spike detection frequency with radiation environment parameters in order to generate an augmented data product from SDO. We conduct a correlation study between SDO/AIA data and radiation belt activity within the SDO's orbit. By extracting radiation “spike” data from the SDO/AIA images, we produce a comprehensive data product which is correlated not only with geomagnetic parameters such as Kp, Ap, and Sym‐H but also with the electron and proton fluxes measured by the GOES‐14 satellite. As a result, we find that AIA spikes are highly correlated with the GOES‐14 electrons detected by the magnetospheric electron detector and energetic proton, electron and alpha detectors instruments at the equator (where the two satellites meet) with Spearman's Correlation values of ρ = 0.73 and ρ = 0.53, respectively, while a weaker correlation of ρ = 0.47 is shown with magnetospheric proton detector protons for the 2 year period where both missions returned data uninterruptedly. This correlation proves that the SDO spike data can be proven useful for characterizing the Van Allen radiation belt, especially at areas where other satellites cannot.https://doi.org/10.1029/2022SW003310magnetosphereradiation beltscorrelationsolar dynamics observatoryheliophysicssolar wind |
| spellingShingle | Spiridon Kasapis Barbara J. Thompson Juan V. Rodriguez Raphael Attie Gonzalo Cucho‐Padin Daniel daSilva Meng Jin William D. Pesnell Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data Space Weather magnetosphere radiation belts correlation solar dynamics observatory heliophysics solar wind |
| title | Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data |
| title_full | Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data |
| title_fullStr | Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data |
| title_full_unstemmed | Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data |
| title_short | Turning Noise Into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data |
| title_sort | turning noise into data characterization of the van allen radiation belt using sdo spikes data |
| topic | magnetosphere radiation belts correlation solar dynamics observatory heliophysics solar wind |
| url | https://doi.org/10.1029/2022SW003310 |
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