| 1 | #!/usr/bin/python -tt
|
|---|
| 2 | #
|
|---|
| 3 | # Werner Lustermann
|
|---|
| 4 | # ETH Zurich
|
|---|
| 5 | #
|
|---|
| 6 | from ctypes import *
|
|---|
| 7 | import numpy as np
|
|---|
| 8 | from scipy import signal
|
|---|
| 9 |
|
|---|
| 10 | # get the ROOT stuff + my shared libs
|
|---|
| 11 | from ROOT import gSystem
|
|---|
| 12 | # fitslib.so is made from fits.h and is used to access the data
|
|---|
| 13 | gSystem.Load('~/py/fitslib.so')
|
|---|
| 14 | from ROOT import *
|
|---|
| 15 |
|
|---|
| 16 |
|
|---|
| 17 | class RawData( object ):
|
|---|
| 18 | """ raw data access and calibration
|
|---|
| 19 |
|
|---|
| 20 | - open raw data file and drs calibration file
|
|---|
| 21 | - performs amplitude calibration
|
|---|
| 22 | - performs baseline substraction if wanted
|
|---|
| 23 | - provides all data in an array:
|
|---|
| 24 | row = number of pixel
|
|---|
| 25 | col = length of region of interest
|
|---|
| 26 |
|
|---|
| 27 | """
|
|---|
| 28 |
|
|---|
| 29 | def __init__(self, data_file_name, calib_file_name,
|
|---|
| 30 | user_action_calib=lambda acal_data, data, blm, tom, gm, scells, nroi: None,
|
|---|
| 31 | baseline_file_name=''):
|
|---|
| 32 | """ initialize object
|
|---|
| 33 |
|
|---|
| 34 | open data file and calibration data file
|
|---|
| 35 | get basic information about the data in data_file_name
|
|---|
| 36 | allocate buffers for data access
|
|---|
| 37 |
|
|---|
| 38 | data_file_name : fits or fits.gz file of the data including the path
|
|---|
| 39 | calib_file_name : fits or fits.gz file containing DRS calibration data
|
|---|
| 40 | baseline_file_name : npy file containing the baseline values
|
|---|
| 41 |
|
|---|
| 42 | """
|
|---|
| 43 |
|
|---|
| 44 | self.data_file_name = data_file_name
|
|---|
| 45 | self.calib_file_name = calib_file_name
|
|---|
| 46 | self.baseline_file_name = baseline_file_name
|
|---|
| 47 |
|
|---|
| 48 | self.user_action_calib = user_action_calib
|
|---|
| 49 |
|
|---|
| 50 | # baseline correction: True / False
|
|---|
| 51 | if len(baseline_file_name) == 0:
|
|---|
| 52 | self.correct_baseline = False
|
|---|
| 53 | else:
|
|---|
| 54 | self.correct_baseline = True
|
|---|
| 55 |
|
|---|
| 56 | # access data file
|
|---|
| 57 | try:
|
|---|
| 58 | data_file = fits(self.data_file_name)
|
|---|
| 59 | except IOError:
|
|---|
| 60 | print 'problem accessing data file: ', data_file_name
|
|---|
| 61 | raise # stop ! no data
|
|---|
| 62 | #: data file (fits object)
|
|---|
| 63 | self.data_file = data_file
|
|---|
| 64 |
|
|---|
| 65 | # get basic information about the data file
|
|---|
| 66 | #: region of interest (number of DRS slices read)
|
|---|
| 67 | self.nroi = data_file.GetUInt('NROI')
|
|---|
| 68 | #: number of pixels (should be 1440)
|
|---|
| 69 | self.npix = data_file.GetUInt('NPIX')
|
|---|
| 70 | #: number of events in the data run
|
|---|
| 71 | self.nevents = data_file.GetNumRows()
|
|---|
| 72 |
|
|---|
| 73 | # allocate the data memories
|
|---|
| 74 | self.event_id = c_ulong()
|
|---|
| 75 | self.trigger_type = c_ushort()
|
|---|
| 76 | #: 1D array with raw data
|
|---|
| 77 | self.data = np.zeros( self.npix * self.nroi, np.int16 )
|
|---|
| 78 | #: slice where drs readout started
|
|---|
| 79 | self.start_cells = np.zeros( self.npix, np.int16 )
|
|---|
| 80 | #: time when the FAD was triggered, in some strange units...
|
|---|
| 81 | self.board_times = np.zeros( 40, np.int32 )
|
|---|
| 82 |
|
|---|
| 83 | # set the pointers to the data++
|
|---|
| 84 | data_file.SetPtrAddress('EventNum', self.event_id)
|
|---|
| 85 | data_file.SetPtrAddress('TriggerType', self.trigger_type)
|
|---|
| 86 | data_file.SetPtrAddress('StartCellData', self.start_cells)
|
|---|
| 87 | data_file.SetPtrAddress('Data', self.data)
|
|---|
| 88 | data_file.SetPtrAddress('BoardTime', self.board_times)
|
|---|
| 89 |
|
|---|
| 90 | # open the calibration file
|
|---|
| 91 | try:
|
|---|
| 92 | calib_file = fits(self.calib_file_name)
|
|---|
| 93 | except IOError:
|
|---|
| 94 | print 'problem accessing calibration file: ', calib_file_name
|
|---|
| 95 | raise
|
|---|
| 96 | #: drs calibration file
|
|---|
| 97 | self.calib_file = calib_file
|
|---|
| 98 |
|
|---|
| 99 | baseline_mean = calib_file.GetN('BaselineMean')
|
|---|
| 100 | gain_mean = calib_file.GetN('GainMean')
|
|---|
| 101 | trigger_offset_mean = calib_file.GetN('TriggerOffsetMean')
|
|---|
| 102 |
|
|---|
| 103 | self.blm = np.zeros(baseline_mean, np.float32)
|
|---|
| 104 | self.gm = np.zeros(gain_mean, np.float32)
|
|---|
| 105 | self.tom = np.zeros(trigger_offset_mean, np.float32)
|
|---|
| 106 |
|
|---|
| 107 | self.Nblm = baseline_mean / self.npix
|
|---|
| 108 | self.Ngm = gain_mean / self.npix
|
|---|
| 109 | self.Ntom = trigger_offset_mean / self.npix
|
|---|
| 110 |
|
|---|
| 111 | calib_file.SetPtrAddress('BaselineMean', self.blm)
|
|---|
| 112 | calib_file.SetPtrAddress('GainMean', self.gm)
|
|---|
| 113 | calib_file.SetPtrAddress('TriggerOffsetMean', self.tom)
|
|---|
| 114 | calib_file.GetRow(0)
|
|---|
| 115 |
|
|---|
| 116 | self.v_bsl = np.zeros(self.npix) # array of baseline values (all ZERO)
|
|---|
| 117 | self.data_saverage_out = None
|
|---|
| 118 | self.pulse_time_of_maximum = None
|
|---|
| 119 | self.pulse_amplitude = None
|
|---|
| 120 |
|
|---|
| 121 | def __iter__(self):
|
|---|
| 122 | """ iterator """
|
|---|
| 123 | return self
|
|---|
| 124 |
|
|---|
| 125 | def __add__(self, jump_over):
|
|---|
| 126 | self.data_file.GetRow(jump_over)
|
|---|
| 127 | return self
|
|---|
| 128 |
|
|---|
| 129 | def next(self):
|
|---|
| 130 | """ used by __iter__ """
|
|---|
| 131 |
|
|---|
| 132 | if self.data_file.GetNextRow() == False:
|
|---|
| 133 | raise StopIteration
|
|---|
| 134 | else:
|
|---|
| 135 | self.calibrate_drs_amplitude()
|
|---|
| 136 |
|
|---|
| 137 | #print 'nevents = ', self.nevents, 'event_id = ', self.event_id.value
|
|---|
| 138 |
|
|---|
| 139 | return self.acal_data, self.start_cells, self.trigger_type.value
|
|---|
| 140 |
|
|---|
| 141 | def next_event(self):
|
|---|
| 142 | """ load the next event from disk and calibrate it
|
|---|
| 143 |
|
|---|
| 144 | """
|
|---|
| 145 |
|
|---|
| 146 | self.data_file.GetNextRow()
|
|---|
| 147 | self.calibrate_drs_amplitude()
|
|---|
| 148 |
|
|---|
| 149 | def calibrate_drs_amplitude(self):
|
|---|
| 150 | """ perform the drs amplitude calibration of the event data
|
|---|
| 151 |
|
|---|
| 152 | """
|
|---|
| 153 |
|
|---|
| 154 | to_mV = 2000./4096.
|
|---|
| 155 | #: 2D array with amplitude calibrated dat in mV
|
|---|
| 156 | acal_data = self.data * to_mV # convert ADC counts to mV
|
|---|
| 157 |
|
|---|
| 158 | # make 2D arrays: row = pixel, col = drs_slice
|
|---|
| 159 | acal_data = np.reshape(acal_data, (self.npix, self.nroi) )
|
|---|
| 160 | blm = np.reshape(self.blm, (self.npix, self.Nblm) )
|
|---|
| 161 | tom = np.reshape(self.tom, (self.npix, self.Ntom) )
|
|---|
| 162 | gm = np.reshape(self.gm, (self.npix, self.Ngm) )
|
|---|
| 163 |
|
|---|
| 164 | for pixel in range( self.npix ):
|
|---|
| 165 | # rotate the pixel baseline mean to the Data startCell
|
|---|
| 166 | blm_pixel = np.roll( blm[pixel,:], -self.start_cells[pixel] )
|
|---|
| 167 | tom_pixel = tom[pixel,:]
|
|---|
| 168 | gm_pixel = np.roll( gm[pixel,:], -self.start_cells[pixel] )
|
|---|
| 169 | acal_data[pixel,:] -= blm_pixel[0:self.nroi]
|
|---|
| 170 | acal_data[pixel,:] -= tom_pixel[0:self.nroi]
|
|---|
| 171 | acal_data[pixel,:] /= gm_pixel[0:self.nroi]
|
|---|
| 172 |
|
|---|
| 173 | self.acal_data = acal_data * 1907.35
|
|---|
| 174 |
|
|---|
| 175 | #print 'blm _pyfact', blm[0,0:20]
|
|---|
| 176 | #t = np.roll( blm[0,:], -self.start_cells[0] )
|
|---|
| 177 | #print 'blm _pyfact', t[0:20]
|
|---|
| 178 | #print 'start_pyfact: ', self.start_cells[0]
|
|---|
| 179 | #print 'acal _pyfact: ', self.acal_data[0,0:10]
|
|---|
| 180 | #t = np.roll( gm[0,:], -self.start_cells[0] )
|
|---|
| 181 | #print 'gm _pyfact: ', t[0:10]
|
|---|
| 182 | self.user_action_calib( self.acal_data,
|
|---|
| 183 | np.reshape(self.data, (self.npix, self.nroi) ), blm, tom, gm, self.start_cells, self.nroi)
|
|---|
| 184 |
|
|---|
| 185 |
|
|---|
| 186 | def baseline_read_values(self, file, bsl_hist='bsl_sum/hplt_mean'):
|
|---|
| 187 | """
|
|---|
| 188 |
|
|---|
| 189 | open ROOT file with baseline histogram and read baseline values
|
|---|
| 190 | file name of the root file
|
|---|
| 191 | bsl_hist path to the histogram containing the basline values
|
|---|
| 192 |
|
|---|
| 193 | """
|
|---|
| 194 |
|
|---|
| 195 | try:
|
|---|
| 196 | f = TFile(file)
|
|---|
| 197 | except:
|
|---|
| 198 | print 'Baseline data file could not be read: ', file
|
|---|
| 199 | return
|
|---|
| 200 |
|
|---|
| 201 | h = f.Get(bsl_hist)
|
|---|
| 202 |
|
|---|
| 203 | for i in range(self.npix):
|
|---|
| 204 | self.v_bsl[i] = h.GetBinContent(i+1)
|
|---|
| 205 |
|
|---|
| 206 | f.Close()
|
|---|
| 207 |
|
|---|
| 208 | def baseline_correct(self):
|
|---|
| 209 | """ subtract baseline from the data
|
|---|
| 210 |
|
|---|
| 211 | """
|
|---|
| 212 |
|
|---|
| 213 | for pixel in range(self.npix):
|
|---|
| 214 | self.acal_data[pixel,:] -= self.v_bsl[pixel]
|
|---|
| 215 |
|
|---|
| 216 | def info(self):
|
|---|
| 217 | """ print run information
|
|---|
| 218 |
|
|---|
| 219 | """
|
|---|
| 220 |
|
|---|
| 221 | print 'data file: ', data_file_name
|
|---|
| 222 | print 'calib file: ', calib_file_name
|
|---|
| 223 | print 'calibration file'
|
|---|
| 224 | print 'N baseline_mean: ', self.Nblm
|
|---|
| 225 | print 'N gain mean: ', self.Ngm
|
|---|
| 226 | print 'N TriggeroffsetMean: ', self.Ntom
|
|---|
| 227 |
|
|---|
| 228 | # -----------------------------------------------------------------------------
|
|---|
| 229 | class fnames( object ):
|
|---|
| 230 | """ organize file names of a FACT data run
|
|---|
| 231 |
|
|---|
| 232 | """
|
|---|
| 233 |
|
|---|
| 234 | def __init__(self, specifier = ['012', '023', '2011', '11', '24'],
|
|---|
| 235 | rpath = '/scratch_nfs/res/bsl/',
|
|---|
| 236 | zipped = True):
|
|---|
| 237 | """
|
|---|
| 238 | specifier : list of strings defined as:
|
|---|
| 239 | [ 'DRS calibration file', 'Data file', 'YYYY', 'MM', 'DD']
|
|---|
| 240 |
|
|---|
| 241 | rpath : directory path for the results; YYYYMMDD will be appended to rpath
|
|---|
| 242 | zipped : use zipped (True) or unzipped (Data)
|
|---|
| 243 |
|
|---|
| 244 | """
|
|---|
| 245 |
|
|---|
| 246 | self.specifier = specifier
|
|---|
| 247 | self.rpath = rpath
|
|---|
| 248 | self.zipped = zipped
|
|---|
| 249 |
|
|---|
| 250 | self.make( self.specifier, self.rpath, self.zipped )
|
|---|
| 251 |
|
|---|
| 252 |
|
|---|
| 253 | def make( self, specifier, rpath, zipped ):
|
|---|
| 254 | """ create (make) the filenames
|
|---|
| 255 |
|
|---|
| 256 | names : dictionary of filenames, tags { 'data', 'drscal', 'results' }
|
|---|
| 257 | data : name of the data file
|
|---|
| 258 | drscal : name of the drs calibration file
|
|---|
| 259 | results : radikal of file name(s) for results (to be completed by suffixes)
|
|---|
| 260 | """
|
|---|
| 261 |
|
|---|
| 262 | self.specifier = specifier
|
|---|
| 263 |
|
|---|
| 264 | if zipped:
|
|---|
| 265 | dpath = '/data00/fact-construction/raw/'
|
|---|
| 266 | ext = '.fits.gz'
|
|---|
| 267 | else:
|
|---|
| 268 | dpath = '/data03/fact-construction/raw/'
|
|---|
| 269 | ext = '.fits'
|
|---|
| 270 |
|
|---|
| 271 | year = specifier[2]
|
|---|
| 272 | month = specifier[3]
|
|---|
| 273 | day = specifier[4]
|
|---|
| 274 |
|
|---|
| 275 | yyyymmdd = year + month + day
|
|---|
| 276 | dfile = specifier[1]
|
|---|
| 277 | cfile = specifier[0]
|
|---|
| 278 |
|
|---|
| 279 | rpath = rpath + yyyymmdd + '/'
|
|---|
| 280 | self.rpath = rpath
|
|---|
| 281 | self.names = {}
|
|---|
| 282 |
|
|---|
| 283 | tmp = dpath + year + '/' + month + '/' + day + '/' + yyyymmdd + '_'
|
|---|
| 284 | self.names['data'] = tmp + dfile + ext
|
|---|
| 285 | self.names['drscal'] = tmp + cfile + '.drs' + ext
|
|---|
| 286 | self.names['results'] = rpath + yyyymmdd + '_' + dfile + '_' + cfile
|
|---|
| 287 |
|
|---|
| 288 | self.data = self.names['data']
|
|---|
| 289 | self.drscal = self.names['drscal']
|
|---|
| 290 | self.results = self.names['results']
|
|---|
| 291 |
|
|---|
| 292 | def info( self ):
|
|---|
| 293 | """ print complete filenames
|
|---|
| 294 |
|
|---|
| 295 | """
|
|---|
| 296 |
|
|---|
| 297 | print 'file names:'
|
|---|
| 298 | print 'data: ', self.names['data']
|
|---|
| 299 | print 'drs-cal: ', self.names['drscal']
|
|---|
| 300 | print 'results: ', self.names['results']
|
|---|
| 301 |
|
|---|
| 302 | # end of class definition: fnames( object )
|
|---|
| 303 |
|
|---|
| 304 | def _test_iter():
|
|---|
| 305 | """ test for function __iter__ """
|
|---|
| 306 |
|
|---|
| 307 | # data_file_name = '/data00/fact-construction/raw/2011/11/24/20111124_111.fits.gz'
|
|---|
| 308 | # calib_file_name = data_file_name =
|
|---|
| 309 | data_file_name = '/home/luster/win7/FACT/data/raw/20120114/20120114_028.fits.gz'
|
|---|
| 310 | calib_file_name = '/home/luster/win7/FACT/data/raw/20120114/20120114_022.drs.fits.gz'
|
|---|
| 311 | run = RawData( data_file_name, calib_file_name )
|
|---|
| 312 |
|
|---|
| 313 | for data, scell, tt in run:
|
|---|
| 314 | print 'data[0,0] = ', data[0,0], "start_cell[0] =", scell[0], "trigger type = ", tt
|
|---|
| 315 |
|
|---|
| 316 |
|
|---|
| 317 | if __name__ == '__main__':
|
|---|
| 318 | """ tests """
|
|---|
| 319 |
|
|---|
| 320 | _test_iter()
|
|---|
