Abstract. A software package originally developed for satellite radio tomography is briefly introduced and its use in two-dimensional auroral tomography is described. The method is based on stochastic inversion, i.e. finding the most probable values of the unknown volume emission rates once the opti...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.371.5001 2023-05-15T18:34:20+02:00 The Pennsylvania State University CiteSeerX Archives 1995 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.5001 http://hal.archives-ouvertes.fr/docs/00/31/62/23/PDF/angeo-14-1124-1996.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.5001 http://hal.archives-ouvertes.fr/docs/00/31/62/23/PDF/angeo-14-1124-1996.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://hal.archives-ouvertes.fr/docs/00/31/62/23/PDF/angeo-14-1124-1996.pdf text 1995 ftciteseerx 2016-01-08T01:19:49Z Abstract. A software package originally developed for satellite radio tomography is briefly introduced and its use in two-dimensional auroral tomography is described. The method is based on stochastic inversion, i.e. finding the most probable values of the unknown volume emission rates once the optical measurements are made using either a scanning photometer or an auroral camera. A set of simulation results is shown for a different number and separations of optical instruments at ground level. It is observed that arcs with a thickness of a few kilometers and separated by a few tens of kilometers are easily reconstructed. The maximum values of the inversion results, however, are often weaker than in the model. The most obvious reason for this is the grid size, which cannot be much smaller than the arc thickness. The grid necessarily generates a spatial averaging effect broadening the arc crosssections and reducing the peak values. Finally, results from TV-camera observations at Tromsø and Esrange are shown. Although these sites are separated by more than 200 km, arcs close to Tromsø have been successfully reconstructed. 1 Text Tromsø Unknown Esrange ENVELOPE(21.117,21.117,67.883,67.883) Tromsø |
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Open Polar |
collection |
Unknown |
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ftciteseerx |
language |
English |
description |
Abstract. A software package originally developed for satellite radio tomography is briefly introduced and its use in two-dimensional auroral tomography is described. The method is based on stochastic inversion, i.e. finding the most probable values of the unknown volume emission rates once the optical measurements are made using either a scanning photometer or an auroral camera. A set of simulation results is shown for a different number and separations of optical instruments at ground level. It is observed that arcs with a thickness of a few kilometers and separated by a few tens of kilometers are easily reconstructed. The maximum values of the inversion results, however, are often weaker than in the model. The most obvious reason for this is the grid size, which cannot be much smaller than the arc thickness. The grid necessarily generates a spatial averaging effect broadening the arc crosssections and reducing the peak values. Finally, results from TV-camera observations at Tromsø and Esrange are shown. Although these sites are separated by more than 200 km, arcs close to Tromsø have been successfully reconstructed. 1 |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
publishDate |
1995 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.5001 http://hal.archives-ouvertes.fr/docs/00/31/62/23/PDF/angeo-14-1124-1996.pdf |
long_lat |
ENVELOPE(21.117,21.117,67.883,67.883) |
geographic |
Esrange Tromsø |
geographic_facet |
Esrange Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_source |
http://hal.archives-ouvertes.fr/docs/00/31/62/23/PDF/angeo-14-1124-1996.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.5001 http://hal.archives-ouvertes.fr/docs/00/31/62/23/PDF/angeo-14-1124-1996.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766219038986338304 |