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A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files - Bundle | |||||||||||||
A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files - Bundle | |||||||||||||
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A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files - Miscellaneous Collection | |||||||||||||
This collection contains the code presented in Verma, A. K., A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files, SoftwareX, Volume 19, 2022, 101190, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2022.101190 See the user-guide.pdf for more information. A copy of the paper is also included in this collection. This research was funded by NASA Cooperative Agreement Notice (CAN) Award 80NSSC22M0023. | |||||||||||||
![]() | MGS | ||||||||||||
A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files - Miscellaneous Collection | |||||||||||||
This collection contains the code presented in Verma, A. K., A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files, SoftwareX, Volume 19, 2022, 101190, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2022.101190 See the user-guide.pdf for more information. A copy of the paper is also included in this collection. This research was funded by NASA Cooperative Agreement Notice (CAN) Award 80NSSC22M0023. | |||||||||||||
![]() | Magellan | ||||||||||||
A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files - Miscellaneous Collection | |||||||||||||
This collection contains the code presented in Verma, A. K., A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files, SoftwareX, Volume 19, 2022, 101190, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2022.101190 See the user-guide.pdf for more information. A copy of the paper is also included in this collection. This research was funded by NASA Cooperative Agreement Notice (CAN) Award 80NSSC22M0023. |
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