Validation of heliospheric modeling algorithms through pulsar observations I: Interplanetary scintillation-based tomography
Solar-wind 3-D reconstruction tomography based on interplanetary scintillation (IPS) studies provides fundamental information for space-weather forecasting models, and gives the possibility to determine heliospheric column densities. Here we compare the time series of Solar-wind column densities der...
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Published in | Advances in space research Vol. 72; no. 12; pp. 5287 - 5297 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
15.12.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Solar-wind 3-D reconstruction tomography based on interplanetary scintillation (IPS) studies provides fundamental information for space-weather forecasting models, and gives the possibility to determine heliospheric column densities. Here we compare the time series of Solar-wind column densities derived from long-term observations of pulsars, and the Solar-wind reconstruction provided by the UCSD IPS tomography. In particular, we analyze the 2016, 2017 and 2018 Solar passages of PSR J0034-0534, and the 2016 and 2018 Solar passages of PSR J1022 + 1001. The results show that, where the UCSD IPS tomography makes use of its most robust settings, the matches between the two techniques are characterized by Pearson’s R coefficients ranging from 0.64 to 0.90, indicating a good level of agreement. This unique work represents a completely independent comparison and validation of these techniques to provide such measurements, and it strengthens confidence in the use of both in space-weather analyses applications. |
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ISSN: | 0273-1177 1879-1948 |
DOI: | 10.1016/j.asr.2022.04.070 |