def BackgroundProfile(binsz):
background, mask, signifiance = Run(correlation_radius = correlation_radius, significance_threshold=significance_threshold, mask_dilation_radius=mask_dilation_radius, number_of_iterations=50, data_image = data_image)
background = background[1]
glats = np.arange(LatLow, LatHigh+binsz, binsz)
glat_bounds = Table()
glat_bounds['CHANNEL'] = np.arange(len(glats) - 1)
glat_bounds['GLAT_MIN'] = np.float64(glats[:-1])
glat_bounds['GLAT_MAX'] = np.float64(glats[1:])
data = compute_latitude_profile(glat_bounds = glat_bounds, binsz=binsz, image=background, datatype=2, emission=4, tev=0)
return data
def GeneralProfile(binsz, filename):
"""This should be improved to avoid hard-coded filenames"""
data_image = fits.open(filename)
data_image= data_image[1]
glats = np.arange(LatLow, LatHigh+binsz, binsz)
glat_bounds = Table()
glat_bounds['CHANNEL'] = np.arange(len(glats) - 1)
glat_bounds['GLAT_MIN'] = np.float64(glats[:-1])
glat_bounds['GLAT_MAX'] = np.float64(glats[1:])
data = compute_latitude_profile(glat_bounds = glat_bounds, binsz=binsz, image=data_image, datatype=2, emission=4, tev=0)
return data
def GeneralProfile(binsz, filename):
"""This should be improved to avoid hard-coded filenames"""
data_image = fits.open(filename)
data_image = data_image[1]
glats = np.arange(LatLow, LatHigh + binsz, binsz)
glat_bounds = Table()
glat_bounds['CHANNEL'] = np.arange(len(glats) - 1)
glat_bounds['GLAT_MIN'] = np.float64(glats[:-1])
glat_bounds['GLAT_MAX'] = np.float64(glats[1:])
data = compute_latitude_profile(glat_bounds=glat_bounds,
binsz=binsz,
image=data_image,
datatype=2,
emission=4,
tev=0)
return data
def BackgroundProfile(binsz):
background, mask, signifiance = Run(
correlation_radius=correlation_radius,
significance_threshold=significance_threshold,
mask_dilation_radius=mask_dilation_radius,
number_of_iterations=50,
data_image=data_image)
background = background[1]
glats = np.arange(LatLow, LatHigh + binsz, binsz)
glat_bounds = Table()
glat_bounds['CHANNEL'] = np.arange(len(glats) - 1)
glat_bounds['GLAT_MIN'] = np.float64(glats[:-1])
glat_bounds['GLAT_MAX'] = np.float64(glats[1:])
data = compute_latitude_profile(glat_bounds=glat_bounds,
binsz=binsz,
image=background,
datatype=2,
emission=4,
tev=0)
return data