def plot_archive_fields():
client = MongoClient(host='localhost', port=27017)
c = client.m31.images
pngpath = os.path.expanduser("~/andromap/Elixir_B3_r.resamp.inverted.png")
fitspath = os.path.expanduser("~/andromap/Elixir_B3_r.resamp.fits")
m = Andromap(fitspath, figsize=(7.5, 7.5))
m.fig.show_rgb(pngpath)
m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sci"},
edgecolor=BLUE, lw=3.)
m.plot_combined_fields({"INSTRUME": "WIRCam",
"TYPE": "sci",
"RUNID": {'$in': ['07BC20',
'09BC29',
'11BC12',
'12BH04']}},
edgecolor=RED, lw=3.)
# everyone *but* ANDROIDS observations
sel = {"INSTRUME": "MegaPrime",
"RUNID": {"$nin": androids_runids},
"footprint": {"$exists": 1},
"FILTER": {"$in": ['u', 'g', 'r', 'i']}}
fieldnames = c.find(sel).distinct("OBJECT")
for fieldname in fieldnames:
s = dict(sel)
s.update({"OBJECT": fieldname})
doc = c.find_one(s)
ra = doc['RA_DEG']
dec = doc['DEC_DEG']
# m.plot_combined_fields(s)
m.add_label(ra, dec, fieldname.replace(r"_", r"\_"),
size=7, zorder=1000)
radii = np.arange(10., 50., 10.)
prof = read_release()
m.plot_xvista_profile_ellipse_grid(prof, radii, zorder=100,
edgecolor='0.2', alpha=0.7)
m.fig.recenter(M31RA0, M31DEC0, radius=5)
m.save("megacam_archive_fields.png", format='png',
dpi=300, transparent=True, adjust_bbox=True)
prof = read_release()
m.plot_xvista_profile_ellipse_grid(prof, radii, zorder=100,
edgecolor='r')
# m.plot_combined_fields({"INSTRUME": "WIRCam", "TYPE": "sci"})
# m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sci"})
# m.plot_hst_halo()
for field in sky_fields:
m.plot_box(field['ra'], field['dec'], width=1., height=1.,
facecolor='None', edgecolor='orange', lw=1.)
# m.add_label(field['ra'], field['dec'], field['n'])
for field in perimeter_fields:
m.plot_box(field['ra'], field['dec'], width=1., height=1.,
facecolor='dodgerblue', alpha=0.7, edgecolor='dodgerblue',
lw=1.)
m.add_label(field['ra'], field['dec'], field['n'])
for field in new_sky_fields:
m.plot_box(field['ra'], field['dec'], width=1., height=1.,
facecolor='None', alpha=1., edgecolor='dodgerblue',
lw=1.)
m.add_label(field['ra'], field['dec'], field['n'])
m.fig.recenter(M31RA0, M31DEC0, radius=6) # , width=9, height=9)
m.save("cfht_lsb_14b.png", dpi=300, transparent=True, adjust_bbox=True,
format='png')
def convert_field_coord(field):
field['ra'] = 15. * (float(field['ra'][0]) + field['ra'][1] / 60.
+ field['ra'][1] / 3600.)
field['dec'] = float(field['dec'][0]) + field['dec'][1] / 60. \
def main():
log = logging.getLogger('andromap')
log.setLevel(logging.DEBUG)
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
log.addHandler(ch)
pngpath = os.path.expanduser("~/andromap/Elixir_B3_r.resamp.inverted.png")
fitspath = os.path.expanduser("~/andromap/Elixir_B3_r.resamp.fits")
m = Andromap(fitspath, figsize=(6.5, 6.5))
m.fig.show_rgb(pngpath)
client = MongoClient(host='localhost', port=27017)
c = client.m31.images
# WIRCam mosaic footprint.
m.plot_combined_fields({"INSTRUME": "WIRCam",
"TYPE": "sci",
"RUNID": {'$in': ['07BC20', '09BC29']}},
edgecolor=RED, lw=1, alpha=0.8)
wircam_sky_sel = {"INSTRUME": "WIRCam", "TYPE": "sky",
"RUNID": {"$in": ['07BC20', '07BH47', '09BC29']}}
for field in c.find(wircam_sky_sel).distinct('OBJECT'):
m.plot_combined_fields(
{"INSTRUME": "WIRCam", "TYPE": "sky", "OBJECT": field},
edgecolor=ORANGE, lw=1, alpha=0.8)
for field in MEGACAM_FIELD_NAMES:
m.plot_combined_fields(
{"INSTRUME": "MegaPrime", 'OBJECT': field},
edgecolor=BLUE, lw=2.)
coord = m.compute_mean_coordinate({"OBJECT": field})
m.add_label(coord.ra.value, coord.dec.value,
field.split('_')[-1],
size=14, weight='heavy',
ha='center', va='center',
color=BLUE)
for field in MEGACAM_SKY_NAMES:
m.plot_combined_fields(
{"INSTRUME": "MegaPrime", 'OBJECT': field},
edgecolor=BLUE, lw=1)
coord = m.compute_mean_coordinate({"OBJECT": field})
m.add_label(coord.ra.value, coord.dec.value,
field.split('_')[-1],
size=14, weight='heavy',
ha='center', va='center',
color=BLUE)
m.plot_phat(union=True, edgecolor=GREEN, facecolor='None',
lw=1, alpha=0.8)
radii = np.arange(10., 50., 10.)
prof = read_release()
m.plot_xvista_profile_ellipse_grid(prof, radii, zorder=100,
edgecolor='0.2', alpha=0.7)
m.fig.recenter(M31RA0, M31DEC0, radius=4) # , width=9, height=9)
m.save("megacam_lsb_fields.pdf", format='pdf',
dpi=300, transparent=True, adjust_bbox=True)
