def set_star(self, agasc_id=None, slot=None):
"""
Set self.ra and dec from either agasc_id *or* slot.
This assumes use of star in default agasc miniagasc (no 1.4 or 1.5 or very faint stars)
Lookup by "slot" relies on database of starcheck catalogs.
This also sets self.agasc_id.
"""
if agasc_id is not None:
star = agasc.get_star(agasc_id, date=self.start)
elif slot is not None:
sc = mica.starcheck.get_starcheck_catalog_at_date(self.start)
stars = sc['cat'][(sc['cat']['slot'] == slot) & (
(sc['cat']['type'] == 'GUI') | (sc['cat']['type'] == 'BOT'))]
if not len(stars):
raise ValueError(
"No GUI or BOT in slot {} at time {} in dwell".format(
slot,
DateTime(self.start).date))
star = agasc.get_star(stars[0]['id'], date=self.start)
else:
raise ValueError("Need to supply agasc_id or slot to look up star")
# Could also add logic to infer star from loose position and magnitude
self.agasc_id = star['AGASC_ID']
self.ra = star['RA_PMCORR']
self.dec = star['DEC_PMCORR']
def test_agasc_1p7():
"""
Ensure that AGASC 1.7 is being used.
"""
# Updated with APASS info
star = agasc.get_star(688522864)
assert star['RSV3'] == 1
assert star['RSV2'] == 11944
# NOT updated with APASS info
star = agasc.get_star(611193056)
assert star['RSV3'] == 0
assert star['RSV2'] == -9999
def get_star(id):
try:
agasc_info = agasc.get_star(id)
agasc_list = [(key, agasc_info[key]) for key in agasc_info.dtype.names]
return agasc_list
except:
return []
def _deltas_vs_obc_quat(vals, times, catalog):
# Misalign is the identity matrix because this is the OBC quaternion
aca_misalign = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
q_att = Quat(q=np.array([
vals['AOATTQT1'], vals['AOATTQT2'], vals['AOATTQT3'], vals['AOATTQT4']
]).transpose())
Ts = q_att.transform
acqs = catalog
R2A = 206264.81
dy = {}
dz = {}
yag = {}
zag = {}
star_info = {}
for slot in range(0, 8):
if slot not in acqs['slot']:
continue
agasc_id = acqs[acqs['slot'] == slot][0]['id']
if agasc_id is None:
logger.info("No agasc id for slot {}, skipping".format(slot))
continue
try:
# This is not perfect for star catalogs for agasc 1.4 and 1.5
star = agasc.get_star(agasc_id,
date=times[0],
use_supplement=False)
except:
logger.info("agasc error on slot {}:{}".format(
slot,
sys.exc_info()[0]))
continue
ra = star['RA_PMCORR']
dec = star['DEC_PMCORR']
star_pos_eci = radec_to_eci(ra, dec)
d_aca = np.dot(np.dot(aca_misalign, Ts.transpose(0, 2, 1)),
star_pos_eci).transpose()
yag[slot] = np.arctan2(d_aca[:, 1], d_aca[:, 0]) * R2A
zag[slot] = np.arctan2(d_aca[:, 2], d_aca[:, 0]) * R2A
dy[slot] = vals['AOACYAN{}'.format(slot)] - yag[slot]
dz[slot] = vals['AOACZAN{}'.format(slot)] - zag[slot]
star_info[slot] = star
return dy, dz, star_info, yag, zag
def get_context_data(self, **kwargs):
# Call the base implementation first to get a context
context = super(StarHistView, self).get_context_data(**kwargs)
agasc_id = self.request.GET.get('agasc_id', None)
if agasc_id is not None:
try:
agasc_id = int(agasc_id)
except:
agasc_id = None
start = self.request.GET.get('start', None)
stop = self.request.GET.get('stop', None)
if start == '':
start = None
if stop == '':
stop = None
context['agasc_id'] = agasc_id or ''
context['start'] = start or ''
context['stop'] = stop or ''
if agasc_id:
import mica.web.star_hist
import agasc
from agasc.agasc import IdNotFound
try:
agasc_info = agasc.get_star(agasc_id)
context['star_info'] = [(key, agasc_info[key]) for key in agasc_info.dtype.names]
except IdNotFound:
context['star_info'] = []
pass
acq_table, gui_table = mica.web.star_hist.get_star_stats(agasc_id, start, stop)
if len(acq_table):
context['acq_table'] = acq_table
if len(gui_table):
context['gui_table'] = gui_table
reports_url = (
"https://cxc.cfa.harvard.edu/mta/ASPECT/agasc/supplement_reports/stars/"
+ f'{int(agasc_id//1e7):03d}/{agasc_id}/index.html')
context['reports_url'] = reports_url
return context
def deltas_vs_obc_quat(vals, times, catalog):
# Ignore misalign
aca_misalign = np.array([[1.0,0,0], [0,1,0],[0,0,1]])
q_att = Quat(np.array([vals['AOATTQT1'],
vals['AOATTQT2'],
vals['AOATTQT3'],
vals['AOATTQT4']]).transpose())
Ts = q_att.transform
acqs = catalog[(catalog['type'] == 'BOT') | (catalog['type'] == 'ACQ')]
# Compute the multiplicative factor to convert from the AGASC proper motion
# field to degrees. The AGASC PM is specified in milliarcsecs / year, so this
# is dyear * (degrees / milliarcsec)
agasc_equinox = DateTime('2000:001:00:00:00.000')
dyear = (DateTime(times[0]) - agasc_equinox) / 365.25
pm_to_degrees = dyear / (3600. * 1000.)
R2A = 206264.81
dy = {}
dz = {}
for slot in range(0, 8):
agasc_id = acqs[acqs['slot'] == slot][0]['id']
star = agasc.get_star(agasc_id)
ra = star['RA']
dec = star['DEC']
if star['PM_RA'] != -9999:
ra = star['RA'] + star['PM_RA'] * pm_to_degrees
if star['PM_DEC'] != -9999:
dec = star['DEC'] + star['PM_DEC'] * pm_to_degrees
star_pos_eci = Ska.quatutil.radec2eci(ra, dec)
d_aca = np.dot(np.dot(aca_misalign, Ts.transpose(0, 2, 1)), star_pos_eci).transpose()
yag = np.arctan2(d_aca[:, 1], d_aca[:, 0]) * R2A
zag = np.arctan2(d_aca[:, 2], d_aca[:, 0]) * R2A
dy[slot] = vals['AOACYAN{}'.format(slot)] - yag
dz[slot] = vals['AOACZAN{}'.format(slot)] - zag
return dy, dz
])))
try:
cat = get_catalog(obsid, d.manvr.start)
except (ValueError, IndexError) as e:
print "Skipping {} {}".format(obsid, e)
continue
gcat = cat['cat'][(cat['cat']['type'] == 'BOT') |
(cat['cat']['type'] == 'GUI')]
yag_offs = np.zeros((len(pcad_data['AOKALSTR'].vals), len(gcat)))
zag_offs = np.zeros((len(pcad_data['AOKALSTR'].vals), len(gcat)))
slot_ok_old = {}
slot_ok_new = {}
for idx, entry in enumerate(gcat):
slot = entry['slot']
#ok = pcad_data['AOACFCT{}'.format(slot)].vals == 'TRAK'
star = agasc.get_star(entry['id'], date=d.manvr.start)
eci = radec2eci(star['RA_PMCORR'], star['DEC_PMCORR'])
d_aca = np.dot(q_atts.transform.transpose(0, 2, 1), eci)
yag = np.degrees(np.arctan2(d_aca[:, 1], d_aca[:, 0])) * 3600
zag = np.degrees(np.arctan2(d_aca[:, 2], d_aca[:, 0])) * 3600
yag_offs[:,
idx] = yag - pcad_data['AOACYAN{}'.format(entry['slot'])].vals
zag_offs[:,
idx] = zag - pcad_data['AOACZAN{}'.format(entry['slot'])].vals
diff = np.sum(((np.abs(yag_offs) > 5) & (np.abs(yag_offs) < 20))
| ((np.abs(zag_offs) > 5) & (np.abs(zag_offs) < 20)),
axis=1)
kalstr = pcad_data['AOKALSTR'].vals.astype(int)
for e in consecutive(np.flatnonzero(((kalstr - diff) < 3) & (diff != 0))):
if len(e) > 8:
low_obsids.append(obsid)
def plot_crs_visualization(obsid, plot_dir, crs=None, factor=20, save=False, on_the_fly=False):
"""
Plot visualization of OBC centroid residuals with respect to ground (obc)
aspect solution for science (ER) observations in the yang/zang plain.
:param obsid: obsid
:param crs: dictionary with keys 'ground' and 'obc'. Dictionary values
are dictionaries keyed by slot number containing corresponding
CentroidResiduals objects. If ground or obc centroid residuals
cannot be computed for a given slot, the value is None.
:param on_the_fly: default False, if True then ignore param crs and calculate
centroid residuals for the requested obsid
"""
# catalog
cat = get_starcat(obsid)
# keep only BOT and GUI entries
ok = (cat['type'] == 'BOT') | (cat['type'] == 'GUI')
cat = cat[ok]
cat['idx'] = cat['slot'] # so that the plot is numbered by slot
# attitude
att = get_att(obsid)
# stars
cols = ['RA_PMCORR', 'DEC_PMCORR', 'MAG_ACA', 'MAG_ACA_ERR',
'CLASS', 'ASPQ1', 'ASPQ2', 'ASPQ3', 'VAR', 'POS_ERR']
stars = Table(names=cols)
for star in cat:
row = []
s = get_star(star['id'])
for col in cols:
row.append(s[col])
stars.add_row(row)
fig = plot_stars(att, cat, stars)
cs = ['orange', 'forestgreen', 'steelblue', 'maroon', 'gray']
if on_the_fly:
crs = get_crs_per_obsid(obsid)
else:
if crs is None:
raise ValueError('Need to provide crs if on_the_fly is False')
if obsid > 40000: # ERs
crs_ref = crs['obc']
else:
crs_ref = crs['ground']
ax = fig.axes[0]
for slot in cat['slot']:
ok = cat['slot'] == slot
yag = cat['yang'][ok]
zag = cat['zang'][ok]
yp, zp = yagzag_to_pixels(yag, zag)
# 1 px -> factor px; 5 arcsec = 5 * factor arcsec
try:
"""
Minus sign for y-coord to reflect sign flip in the pixel
to yag conversion and yag scale going from positive to negative
"""
yy = yp - crs_ref[slot].dyags * factor
zz = zp + crs_ref[slot].dzags * factor
ax.plot(yy, zz, alpha=0.3, marker=',', color=cs[slot - 3])
ax.plot([-1000, -1020], [2700, 2700], color='k', lw=3)
circle = plt.Circle((yp, zp), 5 * factor,
color='darkorange', fill=False)
ax.add_artist(circle)
except Exception:
pass
plt.text(-511, 530, "ring radius = 5 arcsec (scaled)", color='darkorange')
if save:
outroot = os.path.join(plot_dir, f'crs_vis_{obsid}')
logger.info(f'Writing plot file {outroot}.png')
plt.savefig(outroot + '.png')
plt.close()
return crs
def kal(dwell, telem, limit=20, catalog=None, nowflags=False):
cat = catalog
# Track status
fids = np.column_stack([(telem['AOACFID{}'.format(slot)].vals == 'FID ')
for slot in range(0, 8)])
trak = np.column_stack([(telem['AOACFCT{}'.format(slot)].vals == 'TRAK')
for slot in range(0, 8)])
# Flags
ir = np.column_stack([(telem['AOACIIR{}'.format(slot)].vals == 'OK ')
for slot in range(0, 8)])
sp = np.column_stack([(telem['AOACISP{}'.format(slot)].vals == 'OK ')
for slot in range(0, 8)])
dp_date = DateTime('2013:297:11:25:52.000').secs
dp = np.column_stack([((telem['AOACIDP{}'.format(slot)].vals == 'OK ')
| (telem['AOKALSTR'].times > dp_date))
for slot in range(0, 8)])
if dwell.start > '2015:251':
# I'm not sure about the fetch grid if we use fetch interpolate, so just use
# a sorted search to see if the MSS flag should apply
mss = telem['AOACIMSS'].vals == 'ENAB'
mss_times = telem['AOACIMSS'].times
mss_at_times = mss[
np.searchsorted(mss_times[1:-1], telem['AOACIMS0'].times) - 1]
ms = np.column_stack([((telem['AOACIMS{}'.format(slot)].vals == 'OK ')
| ~mss_at_times) for slot in range(0, 8)])
else:
ms = np.column_stack([(telem['AOACIMS{}'.format(slot)].vals == 'OK ')
for slot in range(0, 8)])
# use rolled-by-4 for ~last 4.1 sample
last_trak = np.roll(trak, 4, axis=0)
last_trak[0] = True
# Calc centroid residuals using CYAN/CZAN
q_atts = Quat(
normalize(
np.column_stack([
telem['AOATTQT1'].vals, telem['AOATTQT2'].vals,
telem['AOATTQT3'].vals, telem['AOATTQT4'].vals
])))
# guide and bot slots
gcat = cat[(cat['type'] == 'BOT') | (cat['type'] == 'GUI')]
# make a couple of structures for the offsets
yag_offs = np.zeros((len(telem['AOKALSTR'].vals), 8))
zag_offs = np.zeros((len(telem['AOKALSTR'].vals), 8))
for idx, entry in enumerate(gcat):
slot = entry['slot']
#ok = telem['AOACFCT{}'.format(slot)].vals == 'TRAK'
star = agasc.get_star(entry['id'], date=dwell.manvr.start)
eci = radec2eci(star['RA_PMCORR'], star['DEC_PMCORR'])
d_aca = np.dot(q_atts.transform.transpose(0, 2, 1), eci)
yag = np.degrees(np.arctan2(d_aca[:, 1], d_aca[:, 0])) * 3600
zag = np.degrees(np.arctan2(d_aca[:, 2], d_aca[:, 0])) * 3600
yag_offs[:, slot] = yag - telem['AOACYAN{}'.format(entry['slot'])].vals
zag_offs[:, slot] = zag - telem['AOACZAN{}'.format(entry['slot'])].vals
if nowflags:
kal = (~fids & trak & last_trak & ir & sp
& (np.abs(yag_offs) < limit) & (np.abs(zag_offs) < limit))
else:
kal = (~fids & trak & last_trak & ir & sp & dp & ms
& (np.abs(yag_offs) < limit) & (np.abs(zag_offs) < limit))
return telem['AOKALSTR'].times, kal
