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=(3.5, 3.5))
m.fig.show_rgb(pngpath)
# m.plot_combined_fields({"INSTRUME": "WIRCam", "TYPE": "sci"},
# edgecolor=RED, lw=1.5)
# m.plot_combined_fields({"INSTRUME": "WIRCam",
# "TYPE": "sci",
# "RUNID": {'$in': ['07BC20', '09BC29']}},
# edgecolor=RED, lw=3.)
# m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sci"},
# edgecolor=BLUE, lw=3.)
# m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sky"},
# edgecolor=BLUE, lw=0.8)
# m.plot_phat(union=True, edgecolor=GREEN, facecolor='None',
# lw=2.)
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.plot_box(45. / 60. * 15., 42., 2.6, 1.9, color='k', lw=2.)
# m.plot_box(37. / 60. * 15., 39.9, 2.6, 1.9, color='k', lw=2.)
c1 = ICRSCoordinates(ra=(47. / 60. * 15.) * u.degree,
dec=42.9 * u.degree)
c2 = ICRSCoordinates(ra=M31RA0 * u.degree, dec=M31DEC0 * u.degree)
c3 = ICRSCoordinates(ra=(38. / 60. * 15.) * u.degree,
dec=39.6 * u.degree)
m.plot_box(c1.ra.degree, c1.dec.degree, 2.6, 1.9, color='k', lw=2.)
m.plot_box(c2.ra.degree, c2.dec.degree, 2.6, 1.9, color='k', lw=2.)
m.plot_box(c3.ra.degree, c3.dec.degree, 2.6, 1.9, color='k', lw=2.)
# m.save("oxford_map_zoomin.pdf", format='pdf',
# dpi=300, transparent=True, adjust_bbox=True)
m.fig.recenter(M31RA0, M31DEC0, radius=4) # , width=9, height=9)
m.save("dragonfly_map.png", format='png',
dpi=300, transparent=True, adjust_bbox=True)
print c1.ra.hms, c1.dec.dms
print c2.ra.hms, c2.dec.dms
print c3.ra.hms, c3.dec.dms
print "North: {0:8f} {1:8f}".format(c1.ra.degree, c1.dec.degree)
print "Central: {0:8f} {1:8f}".format(c2.ra.degree, c2.dec.degree)
print "South: {0:8f} {1:8f}".format(c3.ra.degree, c3.dec.degree)
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=(3.5, 3.5))
m.fig.show_rgb(pngpath)
m.plot_combined_fields({"INSTRUME": "WIRCam", "TYPE": "sci"},
edgecolor=RED, lw=1.5)
m.plot_combined_fields({"INSTRUME": "WIRCam",
"TYPE": "sci",
"RUNID": {'$in': ['07BC20', '09BC29']}},
edgecolor=RED, lw=3.)
# m.plot_fields({"INSTRUME": "WIRCam", "TYPE": "sky",
# "RUNID": {"$in": ['07BC20', '07BH47']}},
# edgecolor=RED, lw=0.8)
# m.plot_fields({"INSTRUME": "WIRCam", "TYPE": "sky",
# "RUNID": {"$in": ['09BC29']}},
# edgecolor=RED, lw=0.8)
m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sci"},
edgecolor=BLUE, lw=3.)
m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sky"},
edgecolor=BLUE, lw=0.8)
m.plot_phat(union=True, edgecolor=GREEN, facecolor='None',
lw=2.)
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.save("oxford_map_zoomin.pdf", format='pdf',
dpi=300, transparent=True, adjust_bbox=True)
m.fig.recenter(M31RA0, M31DEC0, radius=4) # , width=9, height=9)
m.save("oxford_map.pdf", format='pdf',
dpi=300, transparent=True, adjust_bbox=True)
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)
def main():
fig = Figure(figsize=(3.5, 3.5))
canvas = FigureCanvas(fig)
gs = gridspec.GridSpec(
1, 1, left=0.15, right=0.95, bottom=0.15, top=0.95,
wspace=None, hspace=None, width_ratios=None, height_ratios=None)
ax = fig.add_subplot(gs[0])
radii = np.arange(10., 50., 10.)
prof = read_release()
R = D_KPC * np.tan(prof['R'] / 3600. * np.pi / 180.)
# print R
PA = prof['PA']
ELL = prof['ELL']
# print prof['ELL']
print prof['KPC', 'ELL'][::50]
polygons = []
for r_kpc, pa, ell in ellipse_generator(R, PA, ELL, radii):
r_deg = np.arctan(r_kpc / D_KPC) * 180. / np.pi
b_deg = (1. - ell) * r_deg # semi-minor axis
print r_kpc, r_deg, b_deg, ell, pa
# XVISTA pa is from +x axis (which points rightwards), out
# PA must be CCW from north
pa = 90. - pa # THIS WORKS
poly = tan_ellipse_polygon(r_deg, b_deg, pa, M31RA0, M31DEC0,
n_verts=1000)
polygons.append(poly)
coll = mpl.collections.PolyCollection(polygons,
edgecolors='r',
facecolors='None')
ax.add_collection(coll)
ax.set_xlim(3, -3)
ax.set_ylim(-3, 3)
gs.tight_layout(fig, pad=1.08, h_pad=None, w_pad=None, rect=None)
canvas.print_figure("tan_ellipse.pdf", format="pdf")
for field in sky_fields:
convert_field_coord(field)
for field in square_fields:
convert_field_coord(field)
for field in perimeter_fields:
convert_field_coord(field)
for field in new_sky_fields:
convert_field_coord(field)
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=(3.5, 3.5))
m.fig.show_rgb(pngpath)
radii = np.arange(10., 70., 10.)
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'])
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)
