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Pipeline for novel method for obtaining normalised k-nu diagrams for various space weather monitoring

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HSSCaster

Pipeline for novel method for obtaining normalised k-nu diagrams for various space weather monitoring

Key notes on file types used

  1. .json files contain dictionary of information needed to setup f-mode masking and time selection of data. NOTE: carr_rot is selected t0 + 2 days time of analysis; emerge_rot is the NOAA time used for logging active region of interest
  2. all functions are in ff_funcs.py
  3. an example script of how functions are utlised is also given ff_tester.py. User should change relevant file paths to accommodate their machine
  4. computed FF files (in heliographic coordinates) are in CR20142015_hp_v4.zip
  5. - either find in via server or https://doi.org/10.5281/zenodo.14732036

Full disk mapping

  1. Upadate Jan 2025: full disk normalised k-nu diagrams for full disk can be calculated using norm_knu_FD function
  2. Inputs: array of dates (any date format)
  3. Note: Initally, user needs to hardwire file locations for CR20142015_hp_v4.zip (line 541 in ff_funcs.py, ff_path variable) and data files (line 625 in ff_funcs.py)

Example of code implentation:

  import ff_funcs as ptools

  normknu = ptools.norm_knu_FD(date=times) # where times is an array of date objects

One HMI 4-hr dopplergram file takes 30-35 seconds to produce full disk normalised k-nu diagrams (therefore 180-210 secs for 1 day, around 1.5 hours for one Carrington Rotation)

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Pipeline for novel method for obtaining normalised k-nu diagrams for various space weather monitoring

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