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)
# Plot observed fields
observed = ["AGB_%i" % i for i in range(1, 21)]
m.plot_narrowband_fields(observed,
facecolor='orange', alpha=0.6)
m.plot_combined_fields({"INSTRUME": "WIRCam", "TYPE": "sci"},
edgecolor=RED, lw=1.5)
m.plot_combined_fields({"INSTRUME": "WIRCam",
"TYPE": "sci",
"RUNID": {'$in': ['07BC20', '09BC29']}},
edgecolor=RED, lw=3.)
m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sci"},
edgecolor=BLUE, lw=3.)
m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sky"},
edgecolor=BLUE, lw=0.8)
m.plot_phat(union=True, edgecolor=GREEN, facecolor='None',
lw=2.)
radii = np.arange(10., 50., 10.)
prof = read_release()
m.plot_xvista_profile_ellipse_grid(prof, radii, zorder=100,
edgecolor='0.2', alpha=0.7)
m.save("oxford_narrowband_map.pdf", format='pdf',
dpi=300, transparent=True, adjust_bbox=True)
def main():
log = logging.getLogger('andromap')
log.setLevel(logging.DEBUG)
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
log.addHandler(ch)
pngpath = os.path.expanduser("~/andromap/Elixir_B3_r.resamp.inverted.png")
fitspath = os.path.expanduser("~/andromap/Elixir_B3_r.resamp.fits")
m = Andromap(fitspath, figsize=(3.5, 3.5))
m.fig.show_rgb(pngpath)
m.plot_combined_fields({"INSTRUME": "WIRCam", "TYPE": "sci"},
edgecolor='r')
m.plot_combined_fields({"INSTRUME": "WIRCam", "TYPE": "sky",
"RUNID": {"$in": ['07BC20', '07BH47']}}, edgecolor='r')
m.plot_combined_fields({"INSTRUME": "MegaPrime", "lsb_mosaic.kind": "sci"},
edgecolor='b')
m.plot_phat(union=True)
# Plot archival fields
m.plot_narrowband_fields(['SW1', 'SW2', 'NGC205'],
facecolor='g', alpha=0.7)
# Plot observed fields
observed = ["AGB_%i" % i for i in range(1, 17)]
m.plot_narrowband_fields(observed,
facecolor='orange', alpha=0.6)
# Plot un-observed fields
unobserved = ["AGB_%i" % i for i in range(17, 21)]
m.plot_narrowband_fields(unobserved,
edgecolor='purple', linestyle='solid')
m.save("narrowband_footprint.pdf", format='pdf',
dpi=300, transparent=True, adjust_bbox=True)
