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Product_Bundle
- Identification_Area
-
- logical_identifier
- urn:nasa:pds:verma-python-2022
- version_id
- 1.0
- title
- A Python-based tool for constructing observables from the DSN's
closed-loop archival tracking data files - Bundle
- information_model_version
- 1.13.0.0
- product_class
- Product_Bundle
- Citation_Information
-
- author_list
- Verma, A. K.
- publication_year
- 2022
- doi
- 10.1016/j.softx.2022.101190
- keyword
- Radio science
- keyword
- ATDF
- keyword
- Closed-loop
- keyword
- DSN
- keyword
- Python
- description
- This bundle 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
Radio science data collected from NASA’s Deep Space Networks (DSNs) are made available
in various formats through NASA's Planetary Data System (PDS). The majority of these data are
packed in complex formats, making them inaccessible to users without specialized knowledge. This bundle includes the Python-based tool
presented in the paper that can preprocess the closed-loop archival tracking
data files (ATDFs), produce Doppler and range observables, and write them in an ASCII table along
with ancillary information.
A copy of the paper is also included in this bundle.
This research was funded by NASA Cooperative Agreement Notice (CAN) Award 80NSSC22M0023.
- Modification_History
-
- Modification_Detail
-
- modification_date
- 2022-08-25
- version_id
- 1.0
- description
- Initial Version
- Context_Area
-
- Time_Coordinates
-
- start_date_time
- stop_date_time
- Observing_System
-
- Observing_System_Component
-
- name
- NASA Deep Space Network
- type
- Facility
- Internal_Reference
-
- lid_reference
-
urn:nasa:pds:context:facility:observatory.dsn
- reference_type
- is_facility
- Observing_System_Component
-
- name
- DSN Instrumentation
- type
- Instrument
- Internal_Reference
-
- lid_reference
-
urn:nasa:pds:context:instrument:dsn.rss
- reference_type
- is_instrument
- Bundle
-
- bundle_type
- Supplemental
- Bundle_Member_Entry
-
- lidvid_reference
-
urn:nasa:pds:verma-python-2022:misc-python::1.0
- member_status
- Primary
- reference_type
- bundle_has_miscellaneous_collection