def submit_all(self, coords=None, queue=None, debug=False):
"""
Submit likelihood analyses on a set of coordinates. If
coords is `None`, submit all coordinates in the footprint.
Inputs:
coords : Array of target locations in Galactic coordinates.
queue : Overwrite submit queue.
debug : Don't run.
"""
if coords is None:
pixels = np.arange(hp.nside2npix(self.nside_likelihood))
else:
coords = np.asarray(coords)
if coords.ndim == 1:
coords = np.array([coords])
if coords.shape[1] == 2:
lon, lat = coords.T
radius = np.zeros(len(lon))
elif coords.shape[1] == 3:
lon, lat, radius = coords.T
else:
raise Exception("Unrecognized coords shape:" +
str(coords.shape))
#ADW: targets is still in glon,glat
if self.config['coords']['coordsys'].lower() == 'cel':
lon, lat = gal2cel(lon, lat)
vec = ang2vec(lon, lat)
pixels = np.zeros(0, dtype=int)
for v, r in zip(vec, radius):
pix = query_disc(self.nside_likelihood,
v,
r,
inclusive=True,
fact=32)
pixels = np.hstack([pixels, pix])
#pixels = np.unique(pixels)
inside = ugali.utils.skymap.inFootprint(self.config, pixels)
if inside.sum() != len(pixels):
logger.warning("Ignoring pixels outside survey footprint:\n" +
str(pixels[~inside]))
if inside.sum() == 0:
logger.warning("No pixels inside footprint.")
return
# Only write the configfile once
outdir = mkdir(self.config['output']['likedir'])
# Actually copy config instead of re-writing
shutil.copy(self.config.filename, outdir)
configfile = join(outdir, os.path.basename(self.config.filename))
pixels = pixels[inside]
self.submit(pixels, queue=queue, debug=debug, configfile=configfile)
def _cache(self, name=None):
pixel_area = hp.nside2pixarea(self.nside, degrees=True)
vec = ang2vec(self.lon, self.lat)
#self.pix = query_disc(self.nside,vec,self.extension)
self.pix = ang2disc(self.nside,
self.lon,
self.lat,
self.extension,
inclusive=True)
self._norm = 1. / (len(self.pix) * pixel_area)
def submit_all(self, coords=None, queue=None, debug=False):
"""
Submit likelihood analyses on a set of coordinates. If
coords is `None`, submit all coordinates in the footprint.
Inputs:
coords : Array of target locations in Galactic coordinates.
queue : Overwrite submit queue.
debug : Don't run.
"""
if coords is None:
pixels = numpy.arange(healpy.nside2npix(self.nside_likelihood))
else:
coords = numpy.asarray(coords)
if coords.ndim == 1:
coords = numpy.array([coords])
if coords.shape[1] == 2:
glon,glat = coords.T
radius = numpy.zeros(len(glon))
elif coords.shape[1] == 3:
glon,glat,radius = coords.T
else:
raise Exception("Unrecognized coords shape:"+str(coords.shape))
vec = ang2vec(glon,glat)
pixels = numpy.zeros(0, dtype=int)
for v,r in zip(vec,radius):
pix = query_disc(self.nside_likelihood,v,r,inclusive=True,fact=32)
pixels = numpy.hstack([pixels, pix])
#pixels = numpy.unique(pixels)
inside = ugali.utils.skymap.inFootprint(self.config,pixels)
if inside.sum() != len(pixels):
logger.warning("Ignoring pixels outside survey footprint:\n"+str(pixels[~inside]))
if inside.sum() == 0:
logger.warning("No pixels inside footprint.")
return
# Only write the configfile once
outdir = mkdir(self.config['output']['likedir'])
configfile = '%s/config_queue.py'%(outdir)
self.config.write(configfile)
pixels = pixels[inside]
self.submit(pixels,queue=queue,debug=debug,configfile=configfile)
def __init__(self, config, lon, lat):
self.config = Config(config)
self.lon = lon
self.lat = lat
self.projector = ugali.utils.projector.Projector(self.lon, self.lat)
self.vec = vec = ang2vec(self.lon, self.lat)
self.pix = ang2pix(self.config['coords']['nside_likelihood'], self.lon,
self.lat)
# Pixels from the entire ROI disk
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius'])
self.pixels = PixelRegion(self.config['coords']['nside_pixel'], pix)
# Pixels in the interior region
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius_interior'])
self.pixels_interior = PixelRegion(
self.config['coords']['nside_pixel'], pix)
# Pixels in the outer annulus
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius_annulus'])
pix = np.setdiff1d(self.pixels, pix)
self.pixels_annulus = PixelRegion(self.config['coords']['nside_pixel'],
pix)
# Pixels within target healpix region
pix = ugali.utils.skymap.subpixel(
self.pix, self.config['coords']['nside_likelihood'],
self.config['coords']['nside_pixel'])
self.pixels_target = PixelRegion(self.config['coords']['nside_pixel'],
pix)
# Boolean arrays for selecting given pixels
# (Careful, this works because pixels are pre-sorted by query_disc before in1d)
self.pixel_interior_cut = np.in1d(self.pixels, self.pixels_interior)
self.pixel_annulus_cut = np.in1d(self.pixels, self.pixels_annulus)
# Some pixel properties
self.area_pixel = hp.nside2pixarea(
self.config.params['coords']['nside_pixel'], degrees=True) # deg^2
self.max_pixrad = np.degrees(
hp.max_pixrad(self.config['coords']['nside_pixel'])) # deg
# ADW: These are really bin edges, should be careful and consistent
# It would be cleaner to separate the CMD from ROI
self.bins_mag = np.linspace(self.config.params['mag']['min'],
self.config.params['mag']['max'],
self.config.params['mag']['n_bins'] + 1)
self.bins_color = np.linspace(
self.config.params['color']['min'],
self.config.params['color']['max'],
self.config.params['color']['n_bins'] + 1)
self.centers_mag = ugali.utils.binning.centers(self.bins_mag)
self.centers_color = ugali.utils.binning.centers(self.bins_color)
self.delta_mag = self.bins_mag[1] - self.bins_mag[0]
self.delta_color = self.bins_color[1] - self.bins_color[0]
def _cache(self, name=None):
pixel_area = healpy.nside2pixarea(self.nside,degrees=True)
vec = ang2vec(self.lon, self.lat)
self.pix = query_disc(self.nside,vec,self.extension)
self._norm = 1./(len(self.pix)*pixel_area)
def __init__(self, config, lon, lat):
self.config = Config(config)
self.lon = lon
self.lat = lat
self.projector = ugali.utils.projector.Projector(self.lon, self.lat)
self.vec = vec = ang2vec(self.lon, self.lat)
self.pix = ang2pix(self.config['coords']['nside_likelihood'], self.lon,
self.lat)
# Pixels from the entire ROI disk
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius'])
self.pixels = PixelRegion(self.config['coords']['nside_pixel'], pix)
# Pixels in the interior region
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius_interior'])
self.pixels_interior = PixelRegion(
self.config['coords']['nside_pixel'], pix)
# Pixels in the outer annulus
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius_annulus'])
pix = numpy.setdiff1d(self.pixels, pix)
self.pixels_annulus = PixelRegion(self.config['coords']['nside_pixel'],
pix)
# Pixels within target healpix region
pix = ugali.utils.skymap.subpixel(
self.pix, self.config['coords']['nside_likelihood'],
self.config['coords']['nside_pixel'])
self.pixels_target = PixelRegion(self.config['coords']['nside_pixel'],
pix)
# Boolean arrays for selecting given pixels
# (Careful, this works because pixels are pre-sorted by query_disc before in1d)
self.pixel_interior_cut = numpy.in1d(self.pixels, self.pixels_interior)
# ADW: Updated for more general ROI shapes
#self.pixel_annulus_cut = ~self.pixel_interior_cut
self.pixel_annulus_cut = numpy.in1d(self.pixels, self.pixels_annulus)
# # These should be unnecessary now
# self.centers_lon, self.centers_lat = self.pixels.lon, self.pixels.lat
# self.centers_lon_interior,self.centers_lat_interior = self.pixels_interior.lon,self.pixels_interior.lat
# self.centers_lon_target, self.centers_lat_target = self.pixels_target.lon, self.pixels_target.lat
self.area_pixel = healpy.nside2pixarea(
self.config.params['coords']['nside_pixel'], degrees=True) # deg^2
"""
self.centers_x = self._centers(self.bins_x)
self.centers_y = self._centers(self.bins_y)
self.delta_x = self.config.params['coords']['pixel_size']
self.delta_y = self.config.params['coords']['pixel_size']
# Should actually try to take projection effects into account for better accuracy
# MC integration perhaps?
# Throw points in a cone around full ROI and see what fraction fall in
self.area_pixel = self.config.params['coords']['pixel_size']**2
self.centers_lon, self.centers_lat = self.projector.imageToSphere(self.centers_x, self.centers_y)
"""
# ADW: These are really bin edges, should be careful and consistent
self.bins_mag = numpy.linspace(self.config.params['mag']['min'],
self.config.params['mag']['max'],
self.config.params['mag']['n_bins'] + 1)
self.bins_color = numpy.linspace(
self.config.params['color']['min'],
self.config.params['color']['max'],
self.config.params['color']['n_bins'] + 1)
self.centers_mag = ugali.utils.binning.centers(self.bins_mag)
self.centers_color = ugali.utils.binning.centers(self.bins_color)
self.delta_mag = self.bins_mag[1] - self.bins_mag[0]
self.delta_color = self.bins_color[1] - self.bins_color[0]
# Axis labels
self.label_x = 'x (deg)'
self.label_y = 'y (deg)'
if self.config.params['catalog']['band_1_detection']:
self.label_mag = '%s (mag)' % (
self.config.params['catalog']['mag_1_field'])
else:
self.label_mag = '%s (mag)' % (
self.config.params['catalog']['mag_2_field'])
self.label_color = '%s - %s (mag)' % (
self.config.params['catalog']['mag_1_field'],
self.config.params['catalog']['mag_2_field'])
def __init__(self, config, lon, lat):
self.config = Config(config)
self.lon = lon
self.lat = lat
self.projector = ugali.utils.projector.Projector(self.lon, self.lat)
self.vec = vec = ang2vec(self.lon, self.lat)
self.pix = ang2pix(self.config['coords']['nside_likelihood'],self.lon,self.lat)
# Pixels from the entire ROI disk
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius'])
self.pixels = PixelRegion(self.config['coords']['nside_pixel'],pix)
# Pixels in the interior region
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius_interior'])
self.pixels_interior = PixelRegion(self.config['coords']['nside_pixel'],pix)
# Pixels in the outer annulus
pix = query_disc(self.config['coords']['nside_pixel'], vec,
self.config['coords']['roi_radius_annulus'])
pix = numpy.setdiff1d(self.pixels, pix)
self.pixels_annulus = PixelRegion(self.config['coords']['nside_pixel'],pix)
# Pixels within target healpix region
pix = ugali.utils.skymap.subpixel(self.pix,self.config['coords']['nside_likelihood'],
self.config['coords']['nside_pixel'])
self.pixels_target = PixelRegion(self.config['coords']['nside_pixel'],pix)
# Boolean arrays for selecting given pixels
# (Careful, this works because pixels are pre-sorted by query_disc before in1d)
self.pixel_interior_cut = numpy.in1d(self.pixels, self.pixels_interior)
# ADW: Updated for more general ROI shapes
#self.pixel_annulus_cut = ~self.pixel_interior_cut
self.pixel_annulus_cut = numpy.in1d(self.pixels, self.pixels_annulus)
# # These should be unnecessary now
# self.centers_lon, self.centers_lat = self.pixels.lon, self.pixels.lat
# self.centers_lon_interior,self.centers_lat_interior = self.pixels_interior.lon,self.pixels_interior.lat
# self.centers_lon_target, self.centers_lat_target = self.pixels_target.lon, self.pixels_target.lat
self.area_pixel = healpy.nside2pixarea(self.config.params['coords']['nside_pixel'],degrees=True) # deg^2
"""
self.centers_x = self._centers(self.bins_x)
self.centers_y = self._centers(self.bins_y)
self.delta_x = self.config.params['coords']['pixel_size']
self.delta_y = self.config.params['coords']['pixel_size']
# Should actually try to take projection effects into account for better accuracy
# MC integration perhaps?
# Throw points in a cone around full ROI and see what fraction fall in
self.area_pixel = self.config.params['coords']['pixel_size']**2
self.centers_lon, self.centers_lat = self.projector.imageToSphere(self.centers_x, self.centers_y)
"""
# ADW: These are really bin edges, should be careful and consistent
self.bins_mag = numpy.linspace(self.config.params['mag']['min'],
self.config.params['mag']['max'],
self.config.params['mag']['n_bins'] + 1)
self.bins_color = numpy.linspace(self.config.params['color']['min'],
self.config.params['color']['max'],
self.config.params['color']['n_bins'] + 1)
self.centers_mag = ugali.utils.binning.centers(self.bins_mag)
self.centers_color = ugali.utils.binning.centers(self.bins_color)
self.delta_mag = self.bins_mag[1] - self.bins_mag[0]
self.delta_color = self.bins_color[1] - self.bins_color[0]
# Axis labels
self.label_x = 'x (deg)'
self.label_y = 'y (deg)'
if self.config.params['catalog']['band_1_detection']:
self.label_mag = '%s (mag)'%(self.config.params['catalog']['mag_1_field'])
else:
self.label_mag = '%s (mag)'%(self.config.params['catalog']['mag_2_field'])
self.label_color = '%s - %s (mag)'%(self.config.params['catalog']['mag_1_field'],
self.config.params['catalog']['mag_2_field'])
