Park, Jeewoo; Kucharek, Harald; Moebius, Eberhard; Galli, André; Livadiotis, George; Fuselier, Steve A.; McComas, David J. (2015). Statistical Analysis of the heavy neutral Atoms measured by IBEX. Astrophysical journal - supplement series, 220(2), p. 34. Institute of Physics Publishing IOP 10.1088/0067-0049/220/2/34
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We investigate the directional distribution of heavy neutral atoms in the heliosphere by using heavy neutral maps generated with the IBEX-Lo instrument over three years from 2009 to 2011. The interstellar neutral (ISN) O&Ne gas flow was found in the first-year heavy neutral map at 601 keV and its flow direction and temperature were studied. However, due to the low counting statistics, researchers have not treated the full sky maps in detail. The main goal of this study is to evaluate the statistical significance of each pixel in the heavy neutral maps to get a better understanding of the directional distribution of heavy neutral atoms in the heliosphere. Here, we examine three statistical analysis methods: the signal-to-noise filter, the confidence limit method, and the cluster analysis method. These methods allow us to exclude background from areas where the heavy neutral signal is statistically significant. These methods also allow the consistent detection of heavy neutral atom structures. The main emission feature expands toward lower longitude and higher latitude from the observational peak of the ISN O&Ne gas flow. We call this emission the extended tail. It may be an imprint of the secondary oxygen atoms generated by charge exchange between ISN hydrogen atoms and oxygen ions in the outer heliosheath.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Physics Institute > Space Research and Planetary Sciences |
UniBE Contributor: |
Galli, A |
Subjects: |
500 Science > 530 Physics |
ISSN: |
0067-0049 |
Publisher: |
Institute of Physics Publishing IOP |
Language: |
English |
Submitter: |
Katharina Weyeneth-Moser |
Date Deposited: |
16 Sep 2016 13:49 |
Last Modified: |
05 Dec 2022 14:56 |
Publisher DOI: |
10.1088/0067-0049/220/2/34 |
Web of Science ID: |
000366384900013 |
BORIS DOI: |
10.7892/boris.81949 |
URI: |
https://boris.unibe.ch/id/eprint/81949 |