db = Ska.DBI.DBI(dbi='sybase', server='sybase', user='******')
if 'obs' not in globals():
obs = db.fetchall("""select obsid, kalman_datestart, kalman_datestop
from observations where obsid = %s""" % obsid)[0]
if 'telem' not in globals():
telem = fetch.MSIDset(msids,
obs['kalman_datestart'],
obs['kalman_datestop'],
filter_bad=True,
)
vals = [telem['aoattqt%d' % i].vals for i in range(1, 5)] + [telem['aoacyan0'].vals / 3600.,
telem['aoaczan0'].vals / 3600.]
if 'coords' not in globals():
radecs = [yagzag2radec(yag, zag, Quat([q1, q2, q3, q4]))
for q1, q2, q3, q4, yag, zag in zip(*vals)]
coords = np.rec.fromrecords(radecs, names=('ra', 'dec'))
# aborted code to transform back to dyag, dzag
if 0:
radecrolls = [Quat([q1, q2, q3, q4]).equatorial
for q1, q2, q3, q4, yag, zag in zip(*vals)]
radecrolls = np.rec.fromrecords(radecrolls, names=('ra', 'dec', 'roll'))
ra_nom = np.mean(radecrolls['ra'])
dec_nom = np.mean(radecrolls['dec'])
roll_nom = np.mean(radecrolls['roll'])
q_nom = Quat([ra_nom, dec_nom, roll_nom])
ok = telem['aoacfct0'].vals == 'TRAK'
slot = 0
def plot_centroid_resids_by_flag(start, stop, slot, save=False):
"""
Plot centroid residuals for a start/stop interval with color
coding to indicate readouts corresponding to a particular
combination of DP, IR, MS, and SP. The specified interval
must be a stable Kalman dwell at one attitude.
:param start: start time (any Chandra DateTime format)
:param stop: stop time
:param slot: ACA image slot
:param save: save images as png files
"""
slot_msids = [msid + "%s" % slot for msid in pcad_msids]
msids = ['aopcadmd',
'aoattqt1',
'aoattqt2',
'aoattqt3',
'aoattqt4',
]
msids.extend(slot_msids)
print('Fetching telemetry from {} to {}'.format(start, stop))
telem = fetch.MSIDset(msids,
start,
stop,
filter_bad=True,
)
telem.interpolate(dt=2.05)
vals = ([telem['aoattqt%d' % i].vals for i in range(1, 5)]
+ [telem['aoacyan{}'.format(slot)].vals / 3600.,
telem['aoaczan{}'.format(slot)].vals / 3600.])
print('Interpolating quaternions')
radecs = [yagzag2radec(yag, zag, Quat([q1, q2, q3, q4]))
for q1, q2, q3, q4, yag, zag in zip(*vals)]
coords = np.rec.fromrecords(radecs, names=('ra', 'dec'))
ok = telem['aoacfct{}'.format(slot)].vals == 'TRAK'
flags = {'dp': telem['aoacidp%s' % slot].vals != 'OK ',
'ir': telem['aoaciir%s' % slot].vals != 'OK ',
'ms': telem['aoacims%s' % slot].vals != 'OK ',
'sp': telem['aoacisp%s' % slot].vals != 'OK ',
}
times = telem['aoacyan%s' % slot].times
dra = (coords['ra'] - np.mean(coords['ra'][ok])) * 3600 * np.cos(np.radians(coords['dec']))
ddec = (coords['dec'] - np.mean(coords['dec'][ok])) * 3600
dr = np.sqrt(dra ** 2 + ddec ** 2)
fileroot = 'flags_{}'.format(DateTime(start).date[:14]) if save else None
print('Making plots with output fileroot={}'.format(fileroot))
for dp in (False, True):
for ir in (False, True):
for ms in (False, True):
for sp in (False, True):
print('Making plot for dp={} ir={} ms={} sp={}'.format(dp, ir, ms, sp))
plot_axis('dR', times, dr, ok, dp, ir, ms, sp, flags, filename=fileroot)
def plot_centroid_resids_by_flag(start, stop, slot, plot=False):
"""
Plot centroid residuals for a start/stop interval with color
coding to indicate readouts corresponding to a particular
combination of DP, IR, MS, and SP. The specified interval
must be a stable Kalman dwell at one attitude.
:param start: start time (any Chandra DateTime format)
:param stop: stop time
:param slot: ACA image slot
:param save: save images as png files
"""
pcad_msids = ['aoacfct',
'aoacisp',
'aoacidp',
'aoaciir',
'aoacims',
'aoacyan',
'aoaczan']
slot_msids = [msid + "%s" % slot for msid in pcad_msids]
msids = ['aoattqt1',
'aoattqt2',
'aoattqt3',
'aoattqt4',
]
msids.extend(slot_msids)
print('Fetching telemetry from {} to {}'.format(start, stop))
telems = fetch.MSIDset(msids, start, stop)
telems.interpolate(dt=2.05, filter_bad=False)
bads = np.zeros(len(telems.times), dtype=bool)
for msid in telems:
bads |= telems[msid].bads
bads |= telems['aoacfct{}'.format(slot)].vals != 'TRAK'
telems.bads = bads
for msid in telems:
telems[msid].bads = bads
telems.filter_bad()
vals = ([telems['aoattqt%d' % i].vals for i in range(1, 5)]
+ [telems['aoacyan{}'.format(slot)].vals / 3600.,
telems['aoaczan{}'.format(slot)].vals / 3600.])
print('Interpolating quaternions')
radecs = [yagzag2radec(yag, zag, Quat(normalize([q1, q2, q3, q4])))
for q1, q2, q3, q4, yag, zag in zip(*vals)]
coords = np.rec.fromrecords(radecs, names=('ra', 'dec'))
# ok = telems['aoacfct{}'.format(slot)].vals == 'TRAK'
flags = {'dp': telems['aoacidp%s' % slot].vals != 'OK ',
'ir': telems['aoaciir%s' % slot].vals != 'OK ',
'ms': telems['aoacims%s' % slot].vals != 'OK ',
'sp': telems['aoacisp%s' % slot].vals != 'OK ',
}
times = telems['aoacyan%s' % slot].times
dra = (coords['ra'] - np.mean(coords['ra'])) * 3600 * np.cos(np.radians(coords['dec']))
ddec = (coords['dec'] - np.mean(coords['dec'])) * 3600
dr = np.sqrt(dra ** 2 + ddec ** 2)
# fileroot = 'flags_{}'.format(DateTime(start).date[:14]) if save else None
# print('Making plots with output fileroot={}'.format(fileroot))
filt = ((flags['dp'] == False) & (flags['ir'] == False)
& (flags['ms'] == False) & (flags['sp'] == False))
if plot:
plot_axis('dR', times, dr, filt, title='No status flags')
if np.sum(filt) > 20:
clean_perc = np.percentile(dr[filt], [50, 84, 90, 95])
if clean_perc[2] > 1.0:
print '{} {} : {}'.format(start, stop, str(clean_perc))
else:
clean_perc = [-1, -1, -1, -1]
clean_perc.append(np.sum(filt))
filt = flags['dp'] == True
if plot:
plot_axis('dR', times, dr, filt, title='DP == True')
if np.sum(filt) > 20:
dp_perc = np.percentile(dr[filt], [50, 84, 90, 95])
else:
dp_perc = [-1, -1, -1, -1]
dp_perc.append(np.sum(filt))
return clean_perc, dp_perc
