Review of SOHO SWAN Derived Cometary Water Production Rates
This review discusses the data access tools, investigation methods, and scientific plotting involved in analyzing SOHO SWAN derived cometary water production rates for comets between 1998 and 2021. The dataset includes ASCII files with various parameters like UTC time of observation and water production rates for multiple comets. The process involves accessing data with Python, using packages like Pandas and NumPy, comparing V2 and V3 datasets, and creating plots for data visualization. The review highlights the easy readability, manipulation, and processing of the data for scientific analysis.
Uploaded on Sep 13, 2024 | 3 Views
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
E N D
Presentation Transcript
PDS Review of SOHO SWAN Derived Cometary Water Production Rates v3 John Noonan May 13, 2022 PDS SBN Review, May 13, 2022 - SOHO SWAN Derived Water Production Rates
Dataset Description 16 .tab ASCII files with the derived water production rates for comets between 1998 and 2021. V2 of dataset reviewed in 2018 previous liens all minor and corrected V2 dataset was 77 comet apparition files, V3 is only 16 will v3 be added to v2? Each .tab file has 7 columns: UTC time of observation Fractional day from perihelion Heliocentric distance of comet (au) Spacecraft to comet distance (au) Fluorescence rate of Lyman-alpha for observation (phts/atom/s) Water production rate (1x1027 mol/s) Associated error on the water production rate PDS SBN Review, May 13, 2022 - SOHO SWAN Derived Water Production Rates 2
Data Access and Investigation Tools Data accessed with Python and pds4_tools Python package. Additional packages for reading .tab files: Pandas, NumPy Data were easy to read in, plot, and manipulate. Loaded in tables via Python Pandas read_fwf for fixed width tables All .xml files were readable with pds4_tools Python Package No errors produced Compared v2 documentation files to v3 with p4merge tool PDS SBN Review, May 13, 2022 - SOHO SWAN Derived Water Production Rates 3
Science Plots Simple file structure and easy documentation provided for easy data manipulation I was able to easily recreate several plots from Combi et al. 2020 for 46P, 45P It did require that I access data from v2, given that v3 is only the new components PDS SBN Review, May 13, 2022 - SOHO SWAN Derived Water Production Rates 4
Science Plots Simple file structure and easy documentation provided for easy data manipulation I was able to easily recreate several plots from Combi et al. 2020 for 46P, 45P It did require that I access data from v2, given that v3 is only the new components PDS SBN Review, May 13, 2022 - SOHO SWAN Derived Water Production Rates 5
Science Plots No apparent outliers in g-factors when spotchecked Will add Horizons call to check heliocentric velocity in the future In short data are as expected and easily processed PDS SBN Review, May 13, 2022 - SOHO SWAN Derived Water Production Rates 6
Liens Minor None Major None PDS SBN Review, May 13, 2022 - SOHO SWAN Derived Water Production Rates 7
Summary All files are easy to read and manipulate Documentation is clear and helpful When added to the current v2 dataset of SWAN derived water production rates this will be an excellent publicly available dataset. Conclusion: Dataset is certifiable as reviewed. PDS SBN Review, May 13, 2022 - SOHO SWAN Derived Water Production Rates 8
