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Product_Collection

Identification_Area
logical_identifier
urn:nasa:pds:verma-python-2022:misc-python
version_id
1.0
title
A Python-based tool for constructing observables from the DSN's closed-loop archival tracking data files - Miscellaneous Collection
information_model_version
1.13.0.0
product_class
Product_Collection
Citation_Information
author_list
Verma, A. K.
publication_year
2022
keyword
Radio science
keyword
ATDF
keyword
Closed-loop
keyword
DSN
keyword
Python
description
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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modification_date
2022-08-25
version_id
1.0
description
Initial Version
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NASA Deep Space Network
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DSN Instrumentation
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collection_type
Miscellaneous
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collection-misc-python.csv
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2022-08-24
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