Source code for gammapy.detect.lima

# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function, unicode_literals
from copy import deepcopy
import logging
import numpy as np
from ..image import SkyImage, SkyImageList
from ..stats import significance, significance_on_off

__all__ = [
    'compute_lima_image',
    'compute_lima_on_off_image',
]

log = logging.getLogger(__name__)


[docs]def compute_lima_image(counts, background, kernel, exposure=None): """Compute Li & Ma significance and flux images for known background. If exposure is given the corresponding flux image is computed and returned. Parameters ---------- counts : `~gammapy.image.SkyImage` Counts image background : `~gammapy.image.SkyImage` Background image kernel : `astropy.convolution.Kernel2D` Convolution kernel exposure : `~gammapy.image.SkyImage` Exposure image Returns ------- images : `~gammapy.image.SkyImageList` Results images container See Also -------- gammapy.stats.significance """ from scipy.ndimage import convolve wcs = counts.wcs.copy() # Kernel is modified later make a copy here kernel = deepcopy(kernel) kernel.normalize('peak') conv_opt = dict(mode='constant', cval=np.nan) counts_conv = convolve(counts, kernel.array, **conv_opt) background_conv = convolve(background, kernel.array, **conv_opt) excess_conv = counts_conv - background_conv significance_conv = significance(counts_conv, background_conv, method='lima') images = SkyImageList([ SkyImage(name='significance', data=significance_conv, wcs=wcs), SkyImage(name='counts', data=counts_conv, wcs=wcs), SkyImage(name='background', data=background_conv, wcs=wcs), SkyImage(name='excess', data=excess_conv, wcs=wcs), ]) # TODO: should we be doing this here? # Wouldn't it be better to let users decide if they want this, # and have it easily accessible as an attribute or method? _add_other_images(images, exposure, kernel, conv_opt) return images
[docs]def compute_lima_on_off_image(n_on, n_off, a_on, a_off, kernel, exposure=None): """Compute Li & Ma significance and flux images for on-off observations. Parameters ---------- n_on : `~gammapy.image.SkyImage` Counts image n_off : `~gammapy.image.SkyImage` Off counts image a_on : `~gammapy.image.SkyImage` Relative background efficiency in the on region a_off : `~gammapy.image.SkyImage` Relative background efficiency in the off region kernel : `astropy.convolution.Kernel2D` Convolution kernel exposure : `~gammapy.image.SkyImage` Exposure image Returns ------- images : `~gammapy.image.SkyImageList` Results images container See also -------- gammapy.stats.significance_on_off """ from scipy.ndimage import convolve # Kernel is modified later make a copy here kernel = deepcopy(kernel) kernel.normalize('peak') conv_opt = dict(mode='constant', cval=np.nan) n_on_conv = convolve(n_on, kernel.array, **conv_opt) a_on_conv = convolve(a_on, kernel.array, **conv_opt) alpha_conv = a_on_conv / a_off background_conv = alpha_conv * n_off excess_conv = n_on_conv - background_conv significance_conv = significance_on_off(n_on_conv, n_off, alpha_conv, method='lima') images = SkyImageList([ SkyImage(name='significance', data=significance_conv), SkyImage(name='n_on', data=n_on_conv), SkyImage(name='background', data=background_conv), SkyImage(name='excess', data=excess_conv), SkyImage(name='alpha', data=alpha_conv), ]) # TODO: should we be doing this here? # Wouldn't it be better to let users decide if they want this, # and have it easily accessible as an attribute or method? _add_other_images(images, exposure, kernel, conv_opt) return images
def _add_other_images(images, exposure, kernel, conv_opt): if not exposure: return from scipy.ndimage import convolve kernel.normalize('integral') exposure_conv = convolve(exposure, kernel.array, **conv_opt) flux = images['excess'].data / exposure_conv images['flux'] = SkyImage(name='flux', data=flux, wcs=images['excess'].wcs)