Flare Association Algorithm and Its Ouput Data

Purpose
- For a property group data (e.g., including LogR, B_eff, so on) calculated from a SHARP data at a given time t₀, the flare association algorithm finds all the historical GOES soft X-rays flares that occurred in the corresponding SHARP field-of-view (FOV) during its entire solar disk passage.
How does it works?

1. The SHARP data at t₀ is first inquired whether it contains any NOAA regions with sunspots (active regions, ARs) or without sunspots (plage regions, PRs) within its field-of-view (FOV) using the information about the locations of NOAA ARs and PRs reported in the NOAA Solar Region Summary (SRS) file on the closest date before t₀.
2. If any NOAA AR/PR number(s) are assigned to the SHARP, then we search for GOES flares of which source region(s) are same as the assigned NOAA AR(s)/PR(s) during the entire disk passage of the SHARP, as well as of which location(s), identified from H-alpha ground observations, are within the SHARP FOV.
3. If no NOAA AR/PR number is assigned to the SHARP, then we use the location of GOES flares from H-alpha observations to find any flare(s) that occurred within the SHARP FOV.
* Note that solar differential rotation is taken into account to find the location of the SHARP FOV on the solar disk at the times of flare(s) and SRS observation with respect to the steps 1-3.

Ouputs

- There are two kinds of outputs extracted from the flare association algorithm as follows:
  1. GOES magnitudes of all the associated flares
    - The GOES flare magnitude is written in the following format: e.g., C3.5=3.5, M5.5=55.0, & X1.6=160.0
    - Note that B-class flares are not considered because they are in the range of the solar soft X-ray background level.
  2. Time differences between the SHARP observation time t₀ and start/peak/end times (t_s, t_p, t_e) of all the associated flares (units: in seconds)
    - t_s - t₀
    - t_p - t₀
    - t_e - t₀

They are written in the property database (in JSON format) with the property_type keyword called flare_assocation.

For example, http://cluster-r730-1:8002/region/production_01/list?cadence=12m&time_start=between(2013-09-18T00%3A00%3A00Z%2C2013-09-20T00%3A00%3A00Z)&property_type=flare_association

    {
      "data":{
        "flare_association":[
          {
            "f_etime_tau":-25802,
            "f_mag":"C3.9",
            "f_ptime_tau":-26462,
            "f_stime_tau":-27782
          },
          {
            "f_etime_tau":563218,
            "f_mag":"C1.1",
            "f_ptime_tau":562798,
            "f_stime_tau":562438
          }
        ]
      },
      "fc_id":"flarecast-production_01-00000000-0000-0000-0000-0000000027ee",
      "lat_hg":-17.6586507001787,
      "long_carr":55.4223785,
      "long_hg":-72.6372985,
      "meta":{
        "harp":1684,
        "nar":[
          11846
        ],
        "npr":null
      },
      "time_start":"2013-09-18T10:36:02+00:00"
    }

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Purpose

How does it works?

Ouputs