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her_flare_list.pro
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her_flare_list.pro
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function her_flare_list_query, tstart, tend, csv_out=csv_out
; All time
; tstart = '01-jan-0000'
; tend = '01-jan-2024'
; Solar cycle 24
; tstart = '01-dec-2008'
; tend = '01-dec-2019'
; X-class flare
; tstart = '14-feb-2011'
; tend = '16-feb-2011'
; Previously missing data
; tstart = '01-oct-2012'
; tend = '01-jan-2013'
; tstart = '01-jul-2013'
; tend = '01-dec-2015'
; tend = '01-mar-2015'
; tstart = '01-mar-2016'
; tend = '01-apr-2016'
; tstart = '01-jun-2016'
; tend = '01-jul-2016'
; Running HEK query
; Returns:
; {
; fl:[
; {flr-1},
; {flr-2},
; ...,
; {flr-n}
; ]
; }
; her queries are limited to 1,000 and will never return more than 1,000 results, even when result_limit > 1,000.
her_temp = ssw_her_query( ssw_her_make_query( tstart, tend, /fl, search=[ 'FRM_NAME=SSW Latest Events' ], result_limit = 1000) ); & help, her_temp
; If no flares are found, return her_temp
if ~is_struct(her_temp) then return, her_temp
her = her_temp.fl
; Number of flares listed in time range
her_count = n_elements( her )
; Extracting useful fields
gev_start = her.event_starttime
gev_peak = her.event_peaktime
gev_end = her.event_endtime
goes_class = her.fl_goescls
;xdum = her.fl.event_coord1
;ydum = her.fl.event_coord2
aia_xcen = her.hpc_x
aia_ycen = her.hpc_y
aia_xhel = her.hgs_x
aia_yhel = her.hgs_y
aia_loc = strarr( her_count )
; Creates an array with no. elements = her_count. Each element is a struct with gev_start, gev_peak, gev_end, goes_class, aia_loc, aia_xcen & aia_ycen
ssw_gev_array_temp = REPLICATE( { ssw_gev_struct, gev_start:' ', gev_peak:' ', gev_end:' ', goes_class:' ', aia_loc:' ', aia_xcen:0E, aia_ycen:0E }, her_count )
; Converting between solar coordinate systems
for i = 0, her_count-1 do aia_loc[ i ] = conv_a2h( [ aia_xcen[ i ], aia_ycen[ i ] ], /string )
; Populating array with HEK flare list data
for i = 0, her_count - 1 do ssw_gev_array_temp[i] = { ssw_gev_struct, gev_start[ i ], gev_peak[ i ], gev_end[ i ], goes_class[ i ], aia_loc[ i ], aia_xcen[ i ], aia_ycen[ i ] }
; Removing duplicates
dup = rem_dup( ssw_gev_array_temp.gev_peak )
ssw_gev_array_rem_dup_temp = ssw_gev_array_temp[ dup ]
; Remove A-class flares
aa = where( strmid( ssw_gev_array_rem_dup_temp.goes_class, 0, 1 ) ne 'A' )
ssw_gev_array = ssw_gev_array_rem_dup_temp[ aa ]
count = n_elements( ssw_gev_array )
; Printing flare data
; for i = 0, count -1 do print, ssw_gev_array[i]
print, "No. flares found: ", count
; Writing output to csv
if keyword_set(csv_out) then begin
file_mkdir, 'flare_lists_csv'
filename = "flare_lists_csv/her_" + tstart + "_" + tend + ".csv"
headers = tag_names(ssw_gev_array)
write_csv, filename, ssw_gev_array, header=headers
endif
return, ssw_gev_array
end
function jul_to_geo_str, julian_date
CALDAT, julian_date, month, day, year
georgian_date = strtrim(year, 2) + "-" + strtrim(month, 2) + "-" + strtrim(day, 2)
return, georgian_date
end
function her_flare_list, tstart, tend, csv_out=csv_out
; Converting tstart and tend to Julian date
tstart = date_conv(tstart, 'J')
tend = date_conv(tend, 'J')
; Initialising loop parameters
tstep = tstart ; First 30-day step forward.
tstep_last = tstart ; The tstep of the previous loop.
her_flare_list = []
missing_time_ranges = []
; Printing dates in human-readable format; yyyy-mm-dd.
tstart_g = jul_to_geo_str(tstart)
tend_g = jul_to_geo_str(tend)
print, tstart_g + " to " + tend_g
print, ""
repeat begin
; tstep and tstep_last are initially equal to tstart.
tstep_last = tstep ; Saving the previous tstep value to serve as the beginning of the queried time range.
tstep = tstep + 30 ; Adding 30 days to the previous time range end.
if (tstep gt tend) then tstep = tend
; tstep = tstep + 365 ; Adding 365 days to the previous time range end.
; Changing from julday to georgian str.
tstep_last_g = jul_to_geo_str(tstep_last)
tstep_g = jul_to_geo_str(tstep)
print, "Current query range: " + tstep_last_g + " to " + tstep_g
; Querying between last tstep and current tstep.
her = her_flare_list_query(tstep_last_g, tstep_g)
if ~is_struct(her) then begin
missing_time_ranges = [missing_time_ranges, [tstep_last_g + " to " + tstep_g]]
continue
endif
her_flare_list = [her_flare_list, her]
; Printing a blank line for terminal spacing.
print, ""
; Repeating until tstep_last is greater than tend meaning the previously completed query searched for flares up to or past tend date.
endrep until (tstep ge tend)
print, "No. HER flares in date range: " + string(n_elements(her_flare_list))
print, "Missing time ranges:"
print, missing_time_ranges
; Writing output to csv
if keyword_set(csv_out) then begin
file_mkdir, 'flare_lists_csv'
filename_fl = "flare_lists_csv/her_" + tstart_g + "_" + tstep_g + ".csv"
headers = tag_names(her_flare_list)
write_csv, filename_fl, her_flare_list, header=headers
filename_tr = "flare_lists_csv/her_empty_months" + tstart_g + "_" + tstep_g + ".csv"
if (n_elements(missing_time_ranges) gt 0) then write_csv, filename_tr, missing_time_ranges
return, { $
data:her_flare_list, $
filename: filename_fl $
}
endif else return, her_flare_list
end