This package is not maintained any more! Please use https://github.com/serpentine-h2020/SEPpy instead!

psp-isois-loader

Python data loader for PSP/ISOIS instrument. At the moment provides released data obtained by SunPy through CDF files from CDAWeb for the following datasets:

• PSP_ISOIS-EPIHI_L2-HET-RATES60: Parker Solar Probe ISOIS EPI-Hi Level 2 HET 1-minute Rates (Info, Metadata)
• PSP_ISOIS-EPIHI_L2-HET-RATES3600: Parker Solar Probe ISOIS EPI-Hi Level 2 HET Hourly Rates (Info, Metadata) (higher coverage than 'RATES60' before mid-2021)
• PSP_ISOIS-EPILO_L2-PE: Parker Solar Probe ISOIS EPI-Lo Level 2 Particle Energy (Info, Metadata)

Disclaimer

This software is provided "as is", with no guarantee. It is no official data source, and not officially endorsed by the corresponding instrument teams. Please always refer to the instrument/data descriptions before using the data!

Caveats

• A lot of PSP/ISOIS datasets are not supported at the moment, for example:

• PSP_ISOIS-EPIHI_L2-LET1-RATES60
• PSP_ISOIS-EPIHI_L2-LET2-RATES60
• PSP_ISOIS-EPILO_L2-IC

• For EPIHI, energy values are only loaded from the first day of the interval! (For EPILO, energy values are the mean of the whole loaded interval.)
• EPILO energy tables changed on June 14, 2021

Usage

The standard usecase is to utilize the psp_isois_load function, which returns Pandas dataframe(s) of the PSP/ISOIS measurements.

from psp_isois_loader import psp_isois_load
import datetime as dt

df, meta = psp_isois_load(dataset="PSP_ISOIS-EPILO_L2-PE",
                        startdate=dt.datetime(2021, 4, 16),
                        enddate="2021/04/20",
                        resample="1min",
                        path=None,
                        epilo_channel='F',
                        epilo_threshold=None)

Input

• dataset: (see above for explanation)

• 'PSP_ISOIS-EPIHI_L2-HET-RATES60'
• 'PSP_ISOIS-EPIHI_L2-HET-RATES3600' (higher coverage than 'RATES60' before mid-2021)
• 'PSP_ISOIS-EPIHI_L2-LET1-RATES60' (not yet supported)
• 'PSP_ISOIS-EPIHI_L2-LET2-RATES60' (not yet supported)
• 'PSP_ISOIS-EPILO_L2-PE'
• 'PSP_ISOIS-EPILO_L2-IC' (not yet supported)

• startdate, enddate: datetime object or "standard" datetime string
• resample: Pandas frequency (e.g., '1min' or '1h'), or None, optional. Frequency to which the original data (~24 seconds) is resamepled. By default '1min'.
• path: String, optional. Local path for storing downloaded data, e.g. path='data/psp/isois/'. By default None. Default setting saves data according to sunpy's Fido standards. The default setting can be changed according to the corresponding sunpy documentation, where the setting that needs to be changed is named download_dir (e.g., one could set it to a shared directory on a multi-user system).
• epilo_channel: String, optional. Only used for EPILO data. Channel of EPILO: 'E', 'F', or 'G'. By default 'F'.
• epilo_threshold: Integer or float, optional. Only used for EPILO data. Replace all flux/countrate values in df above epilo_threshold with np.nan, by default None.

Return

• Pandas data frame, optional multiindex for pitch-angle resolved fluxes. Energies are given in eV, differential intensities in cm-2 s-1 sr-1 eV-1. See info links above for the different datasets for a description of the dataframe columns.
• Dictionary of metadata (e.g., energy channels). NOTE: For EPIHI energy values are only loaded from the first day of the interval! For EPILO energy values are the mean of the whole loaded interval.

Data folder structure

If no path argument is provided, all data files are automatically saved in a SunPy subfolder of the current user home directory.

Flux value threshold

If a flux/countrate epilo_threshold is defined (as integer or float), all fluxes above this value will be replaced with np.nan. This might me useful if there are some 'outlier' data points. For example, see the following two figures for threshold=None and threshold=1000, respectively:

License

This project is Copyright (c) Jan Gieseler and licensed under the terms of the BSD 3-clause license. This package is based upon the Openastronomy packaging guide which is licensed under the BSD 3-clause license. See the licenses folder for more information.

Acknowledgements

The development of this software has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101004159 (SERPENTINE).