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Morphology models (gammapy.image.models)¶
Introduction¶
gammapy.image.models contains implementations of common morphology models.
TODO: explain about astropy.modeling and sherpa models.
TODO: write me
Getting Started¶
TODO: write me
Reference/API¶
gammapy.image.models Package¶
Morphology models.
Functions¶
gaussian_sum_moments(F, sigma, x, y, cov_matrix) |
Compute image moments with uncertainties for sum of Gaussians. |
Classes¶
Delta2D(amplitude, x_0, y_0, **constraints) |
Two dimensional delta function . |
Gauss2DPDF([sigma]) |
2D symmetric Gaussian PDF. |
ModelThetaCalculator(source, psf, fov, binsz) |
Compute containment radius for given radially symmetric source and psf as well as desired containment fraction. |
MultiGauss2D(sigmas[, norms]) |
Sum of multiple 2D Gaussians. |
Shell2D(amplitude, x_0, y_0, r_in[, width, …]) |
Projected homogeneous radiating shell model. |
Sphere2D(amplitude, x_0, y_0, r_0[, normed]) |
Projected homogeneous radiating sphere model. |
Template2D(image[, amplitude, frame]) |
Two dimensional table model. |
ThetaCalculator(dist, theta_max, n_bins[, …]) |
Provides methods containment_fraction(theta) and containment_radius(containment_fraction) given some 1D distribution (not necessarily normalized). |
ThetaCalculator2D(dist, x, y) |
Methods to compute theta and containment for a given 2D probability distribution image. |
ThetaCalculatorScipy(dist, theta_max[, …]) |
Same functionality as NumericalThetaCalculator, but uses scipy.integrate.quad and scipy.optimize.fsolve instead. |