__init__.py 65.1 KB
Newer Older
1
2
# Event source for MAGIC calibrated data files.
# Requires uproot package (https://github.com/scikit-hep/uproot).
Moritz Huetten's avatar
Moritz Huetten committed
3
import logging
4
5
6
7

import glob
import re

8
import scipy
9
10
11
12
13
14
import numpy as np
import scipy.interpolate

from astropy import units as u
from astropy.time import Time
from ctapipe.io.eventsource import EventSource
Moritz Huetten's avatar
Moritz Huetten committed
15
16
from ctapipe.core import Container, Field
from ctapipe.io.containers import DataContainer, EventAndMonDataContainer, TelescopePointingContainer, MonitoringCameraContainer
17
18
19
20
from ctapipe.instrument import TelescopeDescription, SubarrayDescription, OpticsDescription, CameraGeometry

__all__ = ['MAGICEventSource']

Moritz Huetten's avatar
Moritz Huetten committed
21
logger = logging.getLogger(__name__)
22

Ievgen Vovk's avatar
Ievgen Vovk committed
23

24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
class MAGICEventSource(EventSource):
    """
    EventSource for MAGIC calibrated data.

    This class operates with the MAGIC data run-wise. This means that the files
    corresponding to the same data run are loaded and processed together.
    """
    _count = 0

    def __init__(self, config=None, tool=None, **kwargs):
        """
        Constructor

        Parameters
        ----------
        config: traitlets.loader.Config
            Configuration specified by config file or cmdline arguments.
            Used to set traitlet values.
            Set to None if no configuration to pass.
        tool: ctapipe.core.Tool
            Tool executable that is calling this component.
            Passes the correct logger to the component.
            Set to None if no Tool to pass.
        kwargs: dict
            Additional parameters to be passed.
            NOTE: The file mask of the data to read can be passed with
            the 'input_url' parameter.
        """

        try:
            import uproot
        except ImportError:
            msg = "The `uproot` python module is required to access the MAGIC data"
            self.log.error(msg)
            raise

60
        self.file_list = glob.glob(kwargs['input_url'])
61
62
        if len(self.file_list) == 0:
            raise ValueError("Unreadable or wrong wildcard file path given.")
63
        self.file_list.sort()
64
65
66
67
68

        # EventSource can not handle file wild cards as input_url
        # To overcome this we substitute the input_url with first file matching
        # the specified file mask.
        del kwargs['input_url']
69
        super().__init__(input_url=self.file_list[0], **kwargs)
70
71

        # Retrieving the list of run numbers corresponding to the data files
Moritz Huetten's avatar
Moritz Huetten committed
72
73
        run_info = list(map(self._get_run_info_from_name, self.file_list))
        run_numbers = [i[0] for i in run_info]
74
        is_mc_runs = [i[1] for i in run_info]
Moritz Huetten's avatar
Moritz Huetten committed
75
76

        self.run_numbers, indices = np.unique(run_numbers, return_index=True)
77
78
79
80
81
82
        is_mc_runs = [is_mc_runs[i] for i in indices]
        is_mc_runs = np.unique(is_mc_runs)
        # Checking if runt type (data/MC) is consistent:
        if len(is_mc_runs) > 1:
            raise ValueError("Loaded files contain data and MC runs. Please load only data OR Monte Carlos.")
        self.is_mc = is_mc_runs[0]
83
84
85
86
87
88
89
90
91
92
93
94
95

        # # Setting up the current run with the first run present in the data
        # self.current_run = self._set_active_run(run_number=0)
        self.current_run = None

        # MAGIC telescope positions in m wrt. to the center of CTA simulations
        self.magic_tel_positions = {
            1: [-27.24, -146.66, 50.00] * u.m,
            2: [-96.44, -96.77, 51.00] * u.m
        }
        # MAGIC telescope description
        optics = OpticsDescription.from_name('MAGIC')
        geom = CameraGeometry.from_name('MAGICCam')
96
        self.magic_tel_description = TelescopeDescription(name='MAGIC', tel_type='MAGIC', optics=optics, camera=geom)
97
        self.magic_tel_descriptions = {1: self.magic_tel_description, 2: self.magic_tel_description}
98
        self._subarray_info = SubarrayDescription('MAGIC', self.magic_tel_positions, self.magic_tel_descriptions)
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136

    @staticmethod
    def is_compatible(file_mask):
        """
        This method checks if the specified file mask corresponds
        to MAGIC data files. The result will be True only if all
        the files are of ROOT format and contain an 'Events' tree.

        Parameters
        ----------
        file_mask: str
            A file mask to check

        Returns
        -------
        bool:
            True if the masked files are MAGIC data runs, False otherwise.

        """

        is_magic_root_file = True

        file_list = glob.glob(file_mask)

        for file_path in file_list:
            try:
                import uproot

                try:
                    with uproot.open(file_path) as input_data:
                        if 'Events' not in input_data:
                            is_magic_root_file = False
                except ValueError:
                    # uproot raises ValueError if the file is not a ROOT file
                    is_magic_root_file = False
                    pass

            except ImportError:
Ievgen Vovk's avatar
Ievgen Vovk committed
137
                if re.match(r'.+_m\d_.+root', file_path.lower()) is None:
138
139
140
141
142
                    is_magic_root_file = False

        return is_magic_root_file

    @staticmethod
Moritz Huetten's avatar
Moritz Huetten committed
143
    def _get_run_info_from_name(file_name):
144
        """
Moritz Huetten's avatar
Moritz Huetten committed
145
146
        This internal method extracts the run number and 
        type (data/MC) from the specified file name.
147
148
149
150
151
152
153
154
155
156
157
158

        Parameters
        ----------
        file_name: str
            A file name to process.

        Returns
        -------
        int:
            A run number of the file.
        """

Moritz Huetten's avatar
Moritz Huetten committed
159
        mask_data = r".*\d+_M\d+_(\d+)\.\d+_Y_.*"
Moritz Huetten's avatar
Moritz Huetten committed
160
161
162
163
164
165
166
167
168
169
170
        mask_mc = r".*_M\d_za\d+to\d+_\d_(\d+)_Y_.*"
        mask_mc_alt = r".*_M\d_\d_(\d+)_.*"
        if len(re.findall(mask_data, file_name)) > 0:
            parsed_info = re.findall(mask_data, file_name)
            is_mc = False
        elif len(re.findall(mask_mc, file_name)) > 0:
            parsed_info = re.findall(mask_mc, file_name)
            is_mc = True
        else:
            parsed_info = re.findall(mask_mc_alt, file_name)
            is_mc = True
171
172
173
174

        try:
            run_number = int(parsed_info[0])
        except IndexError:
Moritz Huetten's avatar
Moritz Huetten committed
175
            raise IndexError('Can not identify the run number and type (data/MC) of the file {:s}'.format(file_name))
176

Moritz Huetten's avatar
Moritz Huetten committed
177
        return run_number, is_mc
178

Moritz Huetten's avatar
Moritz Huetten committed
179
    def _set_active_run(self, run_number):
180
181
182
183
184
185
186
187
188
189
        """
        This internal method sets the run that will be used for data loading.

        Parameters
        ----------
        run_number: int
            The run number to use.

        Returns
        -------
Moritz Huetten's avatar
Moritz Huetten committed
190
        MarsRun:
Moritz Huetten's avatar
Moritz Huetten committed
191
            The run to use
192
193
194
195
196
197
198
199
        """

        input_path = '/'.join(self.input_url.split('/')[:-1])
        this_run_mask = input_path + '/*{:d}*root'.format(run_number)

        run = dict()
        run['number'] = run_number
        run['read_events'] = 0
Moritz Huetten's avatar
Moritz Huetten committed
200
        run['data'] = MarsRun(run_file_mask=this_run_mask, filter_list=self.file_list)
201
202
203

        return run

204
205
206
207
    @property
    def subarray(self):
        return self._subarray_info

208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
    def _generator(self):
        """
        The default event generator. Return the stereo event
        generator instance.

        Returns
        -------

        """

        return self._stereo_event_generator()

    def _stereo_event_generator(self):
        """
        Stereo event generator. Yields DataContainer instances, filled
        with the read event data.

        Returns
        -------

        """

        counter = 0

        # Data container - is initialized once, and data is replaced within it after each yield
233
234
235
236
        if not self.is_mc:
            data = EventAndMonDataContainer()
        else:
            data = DataContainer()
237
238
239
240
241
242

        # Telescopes with data:
        tels_in_file = ["m1", "m2"]
        tels_with_data = {1, 2}

        # Loop over the available data runs
243
        for run_number in self.run_numbers:
244
245
246
247
248
249

            # Removing the previously read data run from memory
            if self.current_run is not None:
                if 'data' in self.current_run:
                    del self.current_run['data']

Moritz Huetten's avatar
Moritz Huetten committed
250
            # Setting the new active run (class MarsRun object)
Moritz Huetten's avatar
Moritz Huetten committed
251
            self.current_run = self._set_active_run(run_number)
252

253
254
            # Set monitoring data:
            if not self.is_mc:
Moritz Huetten's avatar
Moritz Huetten committed
255

256
                monitoring_data = self.current_run['data'].monitoring_data
Moritz Huetten's avatar
Moritz Huetten committed
257

258
259
260
                for tel_i, tel_id in enumerate(tels_in_file):
                    monitoring_camera = MonitoringCameraContainer()
                    pedestal_info = PedestalContainer()
261
                    badpixel_info = PixelStatusContainer()
Moritz Huetten's avatar
Moritz Huetten committed
262

263
264
265
266
267
268
269
270
271
272
273
                    time_tmp = Time(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalMJD'], scale='utc', format='mjd')
                    pedestal_info.sample_time = Time(time_tmp, format='unix', scale='utc', precision=9)
                    pedestal_info.n_events = 500 # hardcoded number of pedestal events averaged over
                    pedestal_info.charge_mean = []
                    pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFundamental']['Mean'])
                    pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractor']['Mean'])
                    pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractorRndm']['Mean'])
                    pedestal_info.charge_std = []
                    pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFundamental']['Rms'])
                    pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractor']['Rms'])
                    pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractorRndm']['Rms'])
Moritz Huetten's avatar
Moritz Huetten committed
274

Moritz Huetten's avatar
Moritz Huetten committed
275
276
                    t_range = Time(monitoring_data['M{:d}'.format(tel_i + 1)]['badpixelinfoMJDrange'], scale='utc', format='mjd')

277
                    badpixel_info.hardware_failing_pixels = monitoring_data['M{:d}'.format(tel_i + 1)]['badpixelinfo']
Moritz Huetten's avatar
Moritz Huetten committed
278
                    badpixel_info.sample_time_range = t_range
279

280
                    monitoring_camera.pedestal = pedestal_info
281
                    monitoring_camera.pixel_status = badpixel_info
282
283

                    data.mon.tels_with_data = {1, 2}
284
285
                    data.mon.tel[tel_i + 1] = monitoring_camera

286
287
288
289
290
291
292
293
294
            # Loop over the events
            for event_i in range(self.current_run['data'].n_stereo_events):
                # Event and run ids
                event_order_number = self.current_run['data'].stereo_ids[event_i][0]
                event_id = self.current_run['data'].event_data['M1']['stereo_event_number'][event_order_number]
                obs_id = self.current_run['number']

                # Reading event data
                event_data = self.current_run['data'].get_stereo_event_data(event_i)
Moritz Huetten's avatar
Moritz Huetten committed
295
                
296
                data.meta = event_data['mars_meta']
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319

                # Event counter
                data.count = counter

                # Setting up the R0 container
                data.r0.obs_id = obs_id
                data.r0.event_id = event_id
                data.r0.tel.clear()

                # Setting up the R1 container
                data.r1.obs_id = obs_id
                data.r1.event_id = event_id
                data.r1.tel.clear()

                # Setting up the DL0 container
                data.dl0.obs_id = obs_id
                data.dl0.event_id = event_id
                data.dl0.tel.clear()

                # Filling the DL1 container with the event data
                for tel_i, tel_id in enumerate(tels_in_file):
                    # Creating the telescope pointing container
                    pointing = TelescopePointingContainer()
320
321
322
323
                    pointing.azimuth = np.deg2rad(event_data['{:s}_pointing_az'.format(tel_id)]) * u.rad
                    pointing.altitude = np.deg2rad(90 - event_data['{:s}_pointing_zd'.format(tel_id)]) * u.rad
                    pointing.ra = np.deg2rad(event_data['{:s}_pointing_ra'.format(tel_id)]) * u.rad
                    pointing.dec = np.deg2rad(event_data['{:s}_pointing_dec'.format(tel_id)]) * u.rad
324
325
326
327

                    # Adding the pointing container to the event data
                    data.pointing[tel_i + 1] = pointing

Moritz Huetten's avatar
Moritz Huetten committed
328
329
330
331
332
                    # Adding trigger id (MAGIC nomenclature)
                    data.r0.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data['M1']['trigger_pattern'][event_order_number]
                    data.r1.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data['M1']['trigger_pattern'][event_order_number]
                    data.dl0.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data['M1']['trigger_pattern'][event_order_number]

333
334
                    # Adding event charge and peak positions per pixel
                    data.dl1.tel[tel_i + 1].image = event_data['{:s}_image'.format(tel_id)]
Ievgen Vovk's avatar
Ievgen Vovk committed
335
                    data.dl1.tel[tel_i + 1].pulse_time = event_data['{:s}_pulse_time'.format(tel_id)]
Moritz Huetten's avatar
Moritz Huetten committed
336

337
                if self.is_mc == False:
Moritz Huetten's avatar
Moritz Huetten committed
338
339
340
341
342
                    # Adding the event arrival time
                    time_tmp = Time(event_data['mjd'], scale='utc', format='mjd')
                    data.trig.gps_time = Time(time_tmp, format='unix', scale='utc', precision=9)
                else:
                    data.mc.energy = event_data['true_energy'] * u.GeV
343
                    data.mc.alt = (np.pi/2 - event_data['true_zd']) * u.rad
344
                    data.mc.az = -1 * (event_data['true_az'] - np.deg2rad(180 - 7)) * u.rad # check meaning of 7deg transformation (I.Vovk)
Moritz Huetten's avatar
Moritz Huetten committed
345
346
347
348
                    data.mc.shower_primary_id = 1 - event_data['true_shower_primary_id']
                    data.mc.h_first_int = event_data['true_h_first_int'] * u.cm
                    data.mc.core_x = event_data['true_core_x'] * u.cm
                    data.mc.core_y = event_data['true_core_y'] * u.cm
349
350
351
352
353
354

                # Setting the telescopes with data
                data.r0.tels_with_data = tels_with_data
                data.r1.tels_with_data = tels_with_data
                data.dl0.tels_with_data = tels_with_data
                data.trig.tels_with_trigger = tels_with_data
355
                
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380

                yield data
                counter += 1

        return

    def _mono_event_generator(self, telescope):
        """
        Mono event generator. Yields DataContainer instances, filled
        with the read event data.

        Parameters
        ----------
        telescope: str
            The telescope for which to return events. Can be either "M1" or "M2".

        Returns
        -------

        """

        counter = 0
        telescope = telescope.upper()

        # Data container - is initialized once, and data is replaced within it after each yield
Moritz Huetten's avatar
Moritz Huetten committed
381
382
383
384
        if not self.is_mc:
            data = EventAndMonDataContainer()
        else:
            data = DataContainer()
385
386
387
388
389
390
391
392
393
394
395

        # Telescopes with data:
        tels_in_file = ["M1", "M2"]

        if telescope not in tels_in_file:
            raise ValueError("Specified telescope {:s} is not in the allowed list {}".format(telescope, tels_in_file))

        tel_i = tels_in_file.index(telescope)
        tels_with_data = {tel_i + 1, }

        # Loop over the available data runs
396
        for run_number in self.run_numbers:
397
398
399
400
401
402
403

            # Removing the previously read data run from memory
            if self.current_run is not None:
                if 'data' in self.current_run:
                    del self.current_run['data']

            # Setting the new active run
Moritz Huetten's avatar
Moritz Huetten committed
404
            self.current_run = self._set_active_run(run_number)
405

Moritz Huetten's avatar
Moritz Huetten committed
406
407
            # Set monitoring data:
            if not self.is_mc:
Moritz Huetten's avatar
Moritz Huetten committed
408

Moritz Huetten's avatar
Moritz Huetten committed
409
                monitoring_data = self.current_run['data'].monitoring_data
Moritz Huetten's avatar
Moritz Huetten committed
410

Moritz Huetten's avatar
Moritz Huetten committed
411
412
413
                monitoring_camera = MonitoringCameraContainer()
                pedestal_info = PedestalContainer()
                badpixel_info = PixelStatusContainer()
Moritz Huetten's avatar
Moritz Huetten committed
414

Moritz Huetten's avatar
Moritz Huetten committed
415
416
417
418
419
420
421
422
423
424
425
                time_tmp = Time(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalMJD'], scale='utc', format='mjd')
                pedestal_info.sample_time = Time(time_tmp, format='unix', scale='utc', precision=9)
                pedestal_info.n_events = 500 # hardcoded number of pedestal events averaged over
                pedestal_info.charge_mean = []
                pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFundamental']['Mean'])
                pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractor']['Mean'])
                pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractorRndm']['Mean'])
                pedestal_info.charge_std = []
                pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFundamental']['Rms'])
                pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractor']['Rms'])
                pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractorRndm']['Rms'])
Moritz Huetten's avatar
Moritz Huetten committed
426

Moritz Huetten's avatar
Moritz Huetten committed
427
428
429
430
                t_range = Time(monitoring_data['M{:d}'.format(tel_i + 1)]['badpixelinfoMJDrange'], scale='utc', format='mjd')

                badpixel_info.hardware_failing_pixels = monitoring_data['M{:d}'.format(tel_i + 1)]['badpixelinfo']
                badpixel_info.sample_time_range = t_range
Moritz Huetten's avatar
Moritz Huetten committed
431

Moritz Huetten's avatar
Moritz Huetten committed
432
433
434
435
436
437
                monitoring_camera.pedestal = pedestal_info
                monitoring_camera.pixel_status = badpixel_info

                data.mon.tels_with_data = tels_with_data
                data.mon.tel[tel_i + 1] = monitoring_camera

438
439
440
441
442
443
444
445
446
447
448
449
450
451
            if telescope == 'M1':
                n_events = self.current_run['data'].n_mono_events_m1
            else:
                n_events = self.current_run['data'].n_mono_events_m2

            # Loop over the events
            for event_i in range(n_events):
                # Event and run ids
                event_order_number = self.current_run['data'].mono_ids[telescope][event_i]
                event_id = self.current_run['data'].event_data[telescope]['stereo_event_number'][event_order_number]
                obs_id = self.current_run['number']

                # Reading event data
                event_data = self.current_run['data'].get_mono_event_data(event_i, telescope=telescope)
Moritz Huetten's avatar
Moritz Huetten committed
452
                
453
                data.meta = event_data['mars_meta']
454
455
456
457
458
459
460
461

                # Event counter
                data.count = counter

                # Setting up the R0 container
                data.r0.obs_id = obs_id
                data.r0.event_id = event_id
                data.r0.tel.clear()
462
                data.r0.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data[telescope]['trigger_pattern'][event_order_number]
463
464
465
466
467

                # Setting up the R1 container
                data.r1.obs_id = obs_id
                data.r1.event_id = event_id
                data.r1.tel.clear()
468
                data.r1.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data[telescope]['trigger_pattern'][event_order_number]
469
470
471
472
473

                # Setting up the DL0 container
                data.dl0.obs_id = obs_id
                data.dl0.event_id = event_id
                data.dl0.tel.clear()
474
                data.dl0.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data[telescope]['trigger_pattern'][event_order_number]
475
476
477
478
479
480
481
482
483
484
485
486
487

                # Creating the telescope pointing container
                pointing = TelescopePointingContainer()
                pointing.azimuth = np.deg2rad(event_data['pointing_az']) * u.rad
                pointing.altitude = np.deg2rad(90 - event_data['pointing_zd']) * u.rad
                pointing.ra = np.deg2rad(event_data['pointing_ra']) * u.rad
                pointing.dec = np.deg2rad(event_data['pointing_dec']) * u.rad

                # Adding the pointing container to the event data
                data.pointing[tel_i + 1] = pointing

                # Adding event charge and peak positions per pixel
                data.dl1.tel[tel_i + 1].image = event_data['image']
Ievgen Vovk's avatar
Ievgen Vovk committed
488
                data.dl1.tel[tel_i + 1].pulse_time = event_data['pulse_time']
489

490
                if self.is_mc == False:
Moritz Huetten's avatar
Moritz Huetten committed
491
492
493
494
495
                    # Adding the event arrival time
                    time_tmp = Time(event_data['mjd'], scale='utc', format='mjd')
                    data.trig.gps_time = Time(time_tmp, format='unix', scale='utc', precision=9)
                else:
                    data.mc.energy = event_data['true_energy'] * u.GeV
496
                    data.mc.alt = (np.pi/2 - event_data['true_zd']) * u.rad
497
                    data.mc.az = -1 * (event_data['true_az'] - np.deg2rad(180 - 7)) * u.rad # check meaning of 7deg transformation (I.Vovk)
Moritz Huetten's avatar
Moritz Huetten committed
498
499
500
501
                    data.mc.shower_primary_id = 1 - event_data['true_shower_primary_id']
                    data.mc.h_first_int = event_data['true_h_first_int'] * u.cm
                    data.mc.core_x = event_data['true_core_x'] * u.cm
                    data.mc.core_y = event_data['true_core_y'] * u.cm
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532

                # Setting the telescopes with data
                data.r0.tels_with_data = tels_with_data
                data.r1.tels_with_data = tels_with_data
                data.dl0.tels_with_data = tels_with_data
                data.trig.tels_with_trigger = tels_with_data

                yield data
                counter += 1

        return

    def _pedestal_event_generator(self, telescope):
        """
        Pedestal event generator. Yields DataContainer instances, filled
        with the read event data.

        Parameters
        ----------
        telescope: str
            The telescope for which to return events. Can be either "M1" or "M2".

        Returns
        -------

        """

        counter = 0
        telescope = telescope.upper()

        # Data container - is initialized once, and data is replaced within it after each yield
Moritz Huetten's avatar
Moritz Huetten committed
533
        data = EventAndMonDataContainer()
534
535
536
537
538
539
540
541
542
543
544

        # Telescopes with data:
        tels_in_file = ["M1", "M2"]

        if telescope not in tels_in_file:
            raise ValueError("Specified telescope {:s} is not in the allowed list {}".format(telescope, tels_in_file))

        tel_i = tels_in_file.index(telescope)
        tels_with_data = {tel_i + 1, }

        # Loop over the available data runs
545
        for run_number in self.run_numbers:
546
547
548
549
550
551
552

            # Removing the previously read data run from memory
            if self.current_run is not None:
                if 'data' in self.current_run:
                    del self.current_run['data']

            # Setting the new active run
Moritz Huetten's avatar
Moritz Huetten committed
553
            self.current_run = self._set_active_run(run_number)
554

Moritz Huetten's avatar
Moritz Huetten committed
555
            monitoring_data = self.current_run['data'].monitoring_data
Moritz Huetten's avatar
Moritz Huetten committed
556

Moritz Huetten's avatar
Moritz Huetten committed
557
558
559
            monitoring_camera = MonitoringCameraContainer()
            pedestal_info = PedestalContainer()
            badpixel_info = PixelStatusContainer()
Moritz Huetten's avatar
Moritz Huetten committed
560

Moritz Huetten's avatar
Moritz Huetten committed
561
562
563
564
565
566
567
568
569
570
571
            time_tmp = Time(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalMJD'], scale='utc', format='mjd')
            pedestal_info.sample_time = Time(time_tmp, format='unix', scale='utc', precision=9)
            pedestal_info.n_events = 500 # hardcoded number of pedestal events averaged over
            pedestal_info.charge_mean = []
            pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFundamental']['Mean'])
            pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractor']['Mean'])
            pedestal_info.charge_mean.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractorRndm']['Mean'])
            pedestal_info.charge_std = []
            pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFundamental']['Rms'])
            pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractor']['Rms'])
            pedestal_info.charge_std.append(monitoring_data['M{:d}'.format(tel_i + 1)]['PedestalFromExtractorRndm']['Rms'])
Moritz Huetten's avatar
Moritz Huetten committed
572

Moritz Huetten's avatar
Moritz Huetten committed
573
574
575
576
            t_range = Time(monitoring_data['M{:d}'.format(tel_i + 1)]['badpixelinfoMJDrange'], scale='utc', format='mjd')

            badpixel_info.hardware_failing_pixels = monitoring_data['M{:d}'.format(tel_i + 1)]['badpixelinfo']
            badpixel_info.sample_time_range = t_range
Moritz Huetten's avatar
Moritz Huetten committed
577

Moritz Huetten's avatar
Moritz Huetten committed
578
579
580
581
582
583
            monitoring_camera.pedestal = pedestal_info
            monitoring_camera.pixel_status = badpixel_info

            data.mon.tels_with_data = tels_with_data
            data.mon.tel[tel_i + 1] = monitoring_camera

584
585
586
587
588
589
590
591
592
593
594
595
596
597
            if telescope == 'M1':
                n_events = self.current_run['data'].n_pedestal_events_m1
            else:
                n_events = self.current_run['data'].n_pedestal_events_m2

            # Loop over the events
            for event_i in range(n_events):
                # Event and run ids
                event_order_number = self.current_run['data'].pedestal_ids[telescope][event_i]
                event_id = self.current_run['data'].event_data[telescope]['stereo_event_number'][event_order_number]
                obs_id = self.current_run['number']

                # Reading event data
                event_data = self.current_run['data'].get_pedestal_event_data(event_i, telescope=telescope)
Moritz Huetten's avatar
Moritz Huetten committed
598
                
599
                data.meta = event_data['mars_meta']
600
601
602
603
604
605
606
607

                # Event counter
                data.count = counter

                # Setting up the R0 container
                data.r0.obs_id = obs_id
                data.r0.event_id = event_id
                data.r0.tel.clear()
608
                data.r0.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data[telescope]['trigger_pattern'][event_order_number]
609
610
611
612
613

                # Setting up the R1 container
                data.r1.obs_id = obs_id
                data.r1.event_id = event_id
                data.r1.tel.clear()
614
                data.r1.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data[telescope]['trigger_pattern'][event_order_number]
615
616
617
618
619

                # Setting up the DL0 container
                data.dl0.obs_id = obs_id
                data.dl0.event_id = event_id
                data.dl0.tel.clear()
620
                data.dl0.tel[tel_i + 1].trigger_type = self.current_run['data'].event_data[telescope]['trigger_pattern'][event_order_number]
621
622
623
624
625
626
627
628
629
630
631
632
633

                # Creating the telescope pointing container
                pointing = TelescopePointingContainer()
                pointing.azimuth = np.deg2rad(event_data['pointing_az']) * u.rad
                pointing.altitude = np.deg2rad(90 - event_data['pointing_zd']) * u.rad
                pointing.ra = np.deg2rad(event_data['pointing_ra']) * u.rad
                pointing.dec = np.deg2rad(event_data['pointing_dec']) * u.rad

                # Adding the pointing container to the event data
                data.pointing[tel_i + 1] = pointing

                # Adding event charge and peak positions per pixel
                data.dl1.tel[tel_i + 1].image = event_data['image']
Ievgen Vovk's avatar
Ievgen Vovk committed
634
                data.dl1.tel[tel_i + 1].pulse_time = event_data['pulse_time']
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651

                # Adding the event arrival time
                time_tmp = Time(event_data['mjd'], scale='utc', format='mjd')
                data.trig.gps_time = Time(time_tmp, format='unix', scale='utc', precision=9)

                # Setting the telescopes with data
                data.r0.tels_with_data = tels_with_data
                data.r1.tels_with_data = tels_with_data
                data.dl0.tels_with_data = tels_with_data
                data.trig.tels_with_trigger = tels_with_data

                yield data
                counter += 1

        return


Moritz Huetten's avatar
Moritz Huetten committed
652
class MarsRun:
653
654
655
656
    """
    This class implements reading of the event data from a single MAGIC data run.
    """

Moritz Huetten's avatar
Moritz Huetten committed
657
    def __init__(self, run_file_mask, filter_list=None):
658
659
660
661
662
663
664
665
666
        """
        Constructor of the class. Defines the run to use and the camera pixel arrangement.

        Parameters
        ----------
        run_file_mask: str
            A path mask for files belonging to the run. Must correspond to a single run
            or an exception will be raised. Must correspond to calibrated ("sorcerer"-level)
            data.
667
668
669
        filter_list: list, optional
            A list of files, to which the run_file_mask should be applied. If None, all the
            files satisfying run_file_mask will be used. Defaults to None.
670
671
        """

672
673
        geom = CameraGeometry.from_name('MAGICCam')
        self.n_camera_pixels = geom.n_pixels
674

675
676
677
678
        self.run_file_mask = run_file_mask

        # Preparing the lists of M1/2 data files
        file_list = glob.glob(run_file_mask)
679
680
681
682
683

        # Filtering out extra files if necessary
        if filter_list is not None:
            file_list = list(set(file_list) & set(filter_list))

684
685
        self.m1_file_list = list(filter(lambda name: '_M1_' in name, file_list))
        self.m2_file_list = list(filter(lambda name: '_M2_' in name, file_list))
686
        self.m1_file_list.sort()
687
688
689
        self.m2_file_list.sort()

        # Retrieving the list of run numbers corresponding to the data files
Moritz Huetten's avatar
Moritz Huetten committed
690
691
        run_info = list(map(MAGICEventSource._get_run_info_from_name, file_list))
        run_numbers = [i[0] for i in run_info]
692
693
694
695
696
697
698
699
700
        is_mc_runs   = [i[1] for i in run_info]

        run_numbers = np.unique(run_numbers)
        is_mc_runs = np.unique(is_mc_runs)
        # Checking if runt type (data/MC) is consistent:
        if len(is_mc_runs) > 1:
            raise ValueError("Run type is not consistently data or MC: {}".format(is_mc))
        
        self.is_mc = is_mc_runs[0]
701
702
703
704
705

        # Checking if a single run is going to be read
        if len(run_numbers) > 1:
            raise ValueError("Run mask corresponds to more than one run: {}".format(run_numbers))

706
707
708
709
710
        # Reading the data
        m1_data = self.load_events(self.m1_file_list, self.is_mc, self.n_camera_pixels)
        m2_data = self.load_events(self.m2_file_list, self.is_mc, self.n_camera_pixels)
        
        # Getting the event data
711
        self.event_data = dict()
712
713
714
715
716
717
718
        self.event_data['M1'] = m1_data[0]
        self.event_data['M2'] = m2_data[0]

        # Getting the monitoring data
        self.monitoring_data = dict()
        self.monitoring_data['M1'] = m1_data[1]
        self.monitoring_data['M2'] = m2_data[1]
719
720
721
722
723
724
725
726

        # Detecting pedestal events
        self.pedestal_ids = self._find_pedestal_events()
        # Detecting stereo events
        self.stereo_ids = self._find_stereo_events()
        # Detecting mono events
        self.mono_ids = self._find_mono_events()

727

728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
    @property
    def n_events_m1(self):
        return len(self.event_data['M1']['MJD'])

    @property
    def n_events_m2(self):
        return len(self.event_data['M2']['MJD'])

    @property
    def n_stereo_events(self):
        return len(self.stereo_ids)

    @property
    def n_mono_events_m1(self):
        return len(self.mono_ids['M1'])

    @property
    def n_mono_events_m2(self):
        return len(self.mono_ids['M2'])

    @property
    def n_pedestal_events_m1(self):
        return len(self.pedestal_ids['M1'])

    @property
    def n_pedestal_events_m2(self):
        return len(self.pedestal_ids['M2'])

    @staticmethod
757
    def load_events(file_list, is_mc, n_camera_pixels):
758
        """
759
        This method loads events and monitoring data from the pre-defiled file and returns them as a dictionary.
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781

        Parameters
        ----------
        file_name: str
            Name of the MAGIC calibrated file to use.

        Returns
        -------
        dict:
            A dictionary with the even properties: charge / arrival time data, trigger, direction etc.
        """

        try:
            import uproot
        except ImportError:
            msg = "The `uproot` python module is required to access the MAGIC data"
            raise ImportError(msg)

        event_data = dict()

        event_data['charge'] = []
        event_data['arrival_time'] = []
782
783
        event_data['trigger_pattern'] = scipy.array([], dtype=np.int32)
        event_data['stereo_event_number'] = scipy.array([], dtype=np.int32)
784
785
786
787
788
        event_data['pointing_zd'] = scipy.array([])
        event_data['pointing_az'] = scipy.array([])
        event_data['pointing_ra'] = scipy.array([])
        event_data['pointing_dec'] = scipy.array([])
        event_data['MJD'] = scipy.array([])
Moritz Huetten's avatar
Moritz Huetten committed
789
        event_data['mars_meta'] = []
790

791
792
        # monitoring information (updated from time to time)
        monitoring_data = dict()
793
        
Moritz Huetten's avatar
Moritz Huetten committed
794
795
        monitoring_data['badpixelinfo'] = []
        monitoring_data['badpixelinfoMJDrange'] = []
796
797
798
799
800
801
802
803
804
805
806
        monitoring_data['PedestalMJD'] = scipy.array([])
        monitoring_data['PedestalFundamental'] = dict()
        monitoring_data['PedestalFundamental']['Mean'] = []
        monitoring_data['PedestalFundamental']['Rms'] = []
        monitoring_data['PedestalFromExtractor'] = dict()
        monitoring_data['PedestalFromExtractor']['Mean'] = []
        monitoring_data['PedestalFromExtractor']['Rms'] = []
        monitoring_data['PedestalFromExtractorRndm'] = dict()
        monitoring_data['PedestalFromExtractorRndm']['Mean'] = []
        monitoring_data['PedestalFromExtractorRndm']['Rms'] = []

807
808
        event_data['file_edges'] = [0]

809
810
811
812
        degrees_per_hour = 15.0
        seconds_per_day = 86400.0
        seconds_per_hour = 3600.

Moritz Huetten's avatar
Moritz Huetten committed
813
        evt_common_list = [
814
            'MCerPhotEvt.fPixels.fPhot', 
Moritz Huetten's avatar
Moritz Huetten committed
815
816
            'MArrivalTime.fData',
            'MTriggerPattern.fPrescaled',
817
            'MRawEvtHeader.fStereoEvtNumber', 
Moritz Huetten's avatar
Moritz Huetten committed
818
819
            'MRawEvtHeader.fDAQEvtNumber',
            ]
820
        
Moritz Huetten's avatar
Moritz Huetten committed
821
822
823
824
825
826
827
828
829
830
831
832
        # Separately, because only used with pre-processed MARS data 
        # to create MPointingPos container
        pointing_array_list = [
            'MPointingPos.fZd', 
            'MPointingPos.fAz', 
            'MPointingPos.fRa', 
            'MPointingPos.fDec', 
            'MPointingPos.fDevZd',
            'MPointingPos.fDevAz', 
            'MPointingPos.fDevHa', 
            'MPointingPos.fDevDec',
            ]
833
        
Moritz Huetten's avatar
Moritz Huetten committed
834
835
836
837
838
839
        # Info only applicable for data:
        time_array_list = [
            'MTime.fMjd',
            'MTime.fTime.fMilliSec',
            'MTime.fNanoSec', 
            ]
Moritz Huetten's avatar
Moritz Huetten committed
840
        
Moritz Huetten's avatar
Moritz Huetten committed
841
842
843
844
845
846
847
848
        drive_array_list = [
            'MReportDrive.fMjd',
            'MReportDrive.fCurrentZd',
            'MReportDrive.fCurrentAz',
            'MReportDrive.fRa',
            'MReportDrive.fDec'
            ]

849
850
851
852
853
854
855
856
857
858
859
860
        pedestal_array_list = [
            'MTimePedestals.fMjd',
            'MTimePedestals.fTime.fMilliSec',
            'MTimePedestals.fNanoSec',
            'MPedPhotFundamental.fArray.fMean',
            'MPedPhotFundamental.fArray.fRms',
            'MPedPhotFromExtractor.fArray.fMean',
            'MPedPhotFromExtractor.fArray.fRms',
            'MPedPhotFromExtractorRndm.fArray.fMean',
            'MPedPhotFromExtractorRndm.fArray.fRms'
            ]

Moritz Huetten's avatar
Moritz Huetten committed
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
        # Info only applicable for MC:
        mc_list = [
            'MMcEvt.fEnergy',
            'MMcEvt.fTheta',
            'MMcEvt.fPhi',
            'MMcEvt.fPartId',
            'MMcEvt.fZFirstInteraction',
            'MMcEvt.fCoreX',
            'MMcEvt.fCoreY', 
            ]

        # Metadata, currently not strictly required
        metainfo_array_list = [
            'MRawRunHeader.fRunNumber',
            'MRawRunHeader.fRunType',
            'MRawRunHeader.fSubRunIndex',
            'MRawRunHeader.fSourceRA',
            'MRawRunHeader.fSourceDEC',
            'MRawRunHeader.fTelescopeNumber']
880

881
882
883
884
        for file_name in file_list:

            input_file = uproot.open(file_name)

Moritz Huetten's avatar
Moritz Huetten committed
885
            events = input_file['Events'].arrays(evt_common_list)
886

887
            # Reading the info common to MC and real data
888
889
890
891
            charge = events[b'MCerPhotEvt.fPixels.fPhot']
            arrival_time = events[b'MArrivalTime.fData']
            trigger_pattern = events[b'MTriggerPattern.fPrescaled']
            stereo_event_number = events[b'MRawEvtHeader.fStereoEvtNumber']
892

Moritz Huetten's avatar
Moritz Huetten committed
893
894
            # Reading run-wise meta information (same for all events in subrun):
            mars_meta = dict()
Moritz Huetten's avatar
Moritz Huetten committed
895

Moritz Huetten's avatar
Moritz Huetten committed
896
            mars_meta['is_simulation'] = is_mc
Moritz Huetten's avatar
Moritz Huetten committed
897

Moritz Huetten's avatar
Moritz Huetten committed
898
899
900
901
902
903
904
905
            # Reading event timing information:
            if not is_mc:
                event_times = input_file['Events'].arrays(time_array_list)
                # Computing the event arrival time
                
                event_mjd = event_times[b'MTime.fMjd']
                event_millisec = event_times[b'MTime.fTime.fMilliSec']
                event_nanosec = event_times[b'MTime.fNanoSec']
Moritz Huetten's avatar
Moritz Huetten committed
906

Moritz Huetten's avatar
Moritz Huetten committed
907
908
909
                event_mjd = event_mjd + (event_millisec / 1e3 + event_nanosec / 1e9) / seconds_per_day
                event_data['MJD'] = scipy.concatenate((event_data['MJD'], event_mjd))

Moritz Huetten's avatar
Moritz Huetten committed
910
            # try to read RunHeaders tree (soft fail if not present, to pass current tests)
Moritz Huetten's avatar
Moritz Huetten committed
911
912
913
914
915
            try:
                meta_info = input_file['RunHeaders'].arrays(metainfo_array_list)
                
                mars_meta['origin'] = "MAGIC"
                mars_meta['input_url'] = file_name
Moritz Huetten's avatar
Moritz Huetten committed
916

Moritz Huetten's avatar
Moritz Huetten committed
917
                mars_meta['number'] = int(meta_info[b'MRawRunHeader.fRunNumber'][0])
Moritz Huetten's avatar
Moritz Huetten committed
918
                mars_meta['number_subrun'] = int(meta_info[b'MRawRunHeader.fSubRunIndex'][0])
Moritz Huetten's avatar
Moritz Huetten committed
919
920
                mars_meta['source_ra'] = meta_info[b'MRawRunHeader.fSourceRA'][0] / seconds_per_hour * degrees_per_hour * u.deg
                mars_meta['source_dec'] = meta_info[b'MRawRunHeader.fSourceDEC'][0] / seconds_per_hour * u.deg
Moritz Huetten's avatar
Moritz Huetten committed
921
922
923
924
925
926

                is_mc_check = int(meta_info[b'MRawRunHeader.fRunType'][0])
                if is_mc_check == 0:
                    is_mc_check = False
                elif is_mc_check == 256:
                    is_mc_check = True
Moritz Huetten's avatar
Moritz Huetten committed
927
928
                else:
                    msg = "Run type (Data or MC) of MAGIC data file not recognised."
Moritz Huetten's avatar
Moritz Huetten committed
929
930
                    logger.error(msg)
                    raise ValueError(msg)
Moritz Huetten's avatar
Moritz Huetten committed
931
                if is_mc_check != is_mc:
Moritz Huetten's avatar
Moritz Huetten committed
932
                    msg = "Inconsistent run type (data or MC) between file name and runheader content."
Moritz Huetten's avatar
Moritz Huetten committed
933
934
                    logger.error(msg)
                    raise ValueError(msg)
Moritz Huetten's avatar
Moritz Huetten committed
935

Moritz Huetten's avatar
Moritz Huetten committed
936
                # Reading the info only contained in real data
Moritz Huetten's avatar
Moritz Huetten committed
937
                if not is_mc:
Moritz Huetten's avatar
Moritz Huetten committed
938
                    badpixelinfo = input_file['RunHeaders']['MBadPixelsCam.fArray.fInfo'].array(uproot.asjagged(uproot.asdtype(np.int32))).flatten().reshape((4, 1183), order='F')
Moritz Huetten's avatar
Moritz Huetten committed
939
940
                    # now we have 4 axes:
                    # 0st axis: empty (?)
Moritz Huetten's avatar
Moritz Huetten committed
941
942
943
944
                    # 1st axis: Unsuitable pixels
                    # 2nd axis: Uncalibrated pixels (says why pixel is unsuitable)
                    # 3rd axis: Bad hardware pixels (says why pixel is unsuitable)
                    # Each axis cointains a 32bit integer encoding more information about the specific problem, see MARS software, MBADPixelsPix.h
Moritz Huetten's avatar
Moritz Huetten committed
945
                    unsuitable_pix_bitinfo = badpixelinfo[1][:n_camera_pixels] # take first axis
Moritz Huetten's avatar
Moritz Huetten committed
946
                    # extract unsuitable bit:
947
                    unsuitable_pix = np.zeros(n_camera_pixels, dtype = np.bool)
Moritz Huetten's avatar
Moritz Huetten committed
948
                    for i in range(n_camera_pixels):
949
950
                        unsuitable_pix[i] = int('\t{0:08b}'.format(unsuitable_pix_bitinfo[i]&0xff)[-2])
                    monitoring_data['badpixelinfo'].append(unsuitable_pix)
Moritz Huetten's avatar
Moritz Huetten committed
951
952
                    # save time interval of badpixel info:
                    monitoring_data['badpixelinfoMJDrange'].append([event_mjd[0], event_mjd[-1]])
953

Moritz Huetten's avatar
Moritz Huetten committed
954
            except KeyError:
955
                logger.warning("RunHeaders tree not present in file. Cannot read meta information - will assume it is a real data run.")
Moritz Huetten's avatar
Moritz Huetten committed
956
                is_mc = False
957

958
            # try to read Pedestals tree (soft fail if not present)
Moritz Huetten's avatar
Moritz Huetten committed
959
            if not is_mc:
960
961
                try:
                    pedestal_info = input_file['Pedestals'].arrays(pedestal_array_list)
Moritz Huetten's avatar
Moritz Huetten committed
962

963
964
965
966
967
968
969
970
971
972
973
                    pedestal_mjd = pedestal_info[b'MTimePedestals.fMjd']
                    pedestal_millisec = pedestal_info[b'MTimePedestals.fTime.fMilliSec']
                    pedestal_nanosec = pedestal_info[b'MTimePedestals.fNanoSec']
                    n_pedestals = len(pedestal_mjd)
                    pedestal_mjd = pedestal_mjd + (pedestal_millisec / 1e3 + pedestal_nanosec / 1e9) / seconds_per_day
                    monitoring_data['PedestalMJD'] = scipy.concatenate((monitoring_data['PedestalMJD'], pedestal_mjd))
                    for quantity in ['Mean', 'Rms']:
                        for i_pedestal in range(n_pedestals):
                            monitoring_data['PedestalFundamental'][quantity].append(pedestal_info['MPedPhotFundamental.fArray.f{:s}'.format(quantity).encode()][i_pedestal][:n_camera_pixels])
                            monitoring_data['PedestalFromExtractor'][quantity].append(pedestal_info['MPedPhotFromExtractor.fArray.f{:s}'.format(quantity).encode()][i_pedestal][:n_camera_pixels])
                            monitoring_data['PedestalFromExtractorRndm'][quantity].append(pedestal_info['MPedPhotFromExtractorRndm.fArray.f{:s}'.format(quantity).encode()][i_pedestal][:n_camera_pixels])
Moritz Huetten's avatar
Moritz Huetten committed
974

975
                except KeyError:
Moritz Huetten's avatar
Moritz Huetten committed
976
                    logger.warning("Pedestals tree not present in file. Cleaning algorithm may fail.")
977

978
            # Reading pointing information (in units of degrees):
979
980
            if 'MPointingPos.' in input_file['Events']:
                # Retrieving the telescope pointing direction
981
982
                pointing = input_file['Events'].arrays(pointing_array_list)

983
984
985
986
                pointing_zd = pointing[b'MPointingPos.fZd'] - pointing[b'MPointingPos.fDevZd']
                pointing_az = pointing[b'MPointingPos.fAz'] - pointing[b'MPointingPos.fDevAz']
                pointing_ra = (pointing[b'MPointingPos.fRa'] + pointing[b'MPointingPos.fDevHa']) * degrees_per_hour # N.B. the positive sign here, as HA = local sidereal time - ra
                pointing_dec = pointing[b'MPointingPos.fDec'] - pointing[b'MPointingPos.fDevDec']
987
988
            else:
                # Getting the telescope drive info
989
990
991
992
993
                drive = input_file['Drive'].arrays(drive_array_list)

                drive_mjd = drive[b'MReportDrive.fMjd']
                drive_zd = drive[b'MReportDrive.fCurrentZd']
                drive_az = drive[b'MReportDrive.fCurrentAz']
994
                drive_ra = drive[b'MReportDrive.fRa'] * degrees_per_hour
995
996
997
998
999
1000
                drive_dec = drive[b'MReportDrive.fDec']

                # Finding only non-repeating drive entries
                # Repeating entries lead to failure in pointing interpolation
                non_repeating = scipy.diff(drive_mjd) > 0
                non_repeating = scipy.concatenate((non_repeating, [True]))