pint.templates.lctemplate

Normalized template representing directional data

Implements a mixture model of LCPrimitives to form a normalized template representing directional data.

author: M. Kerr <matthew.kerr@gmail.com>

Functions

adaptive_samples(func, npt[, log10_ens, nres])	func should have a .cdf method.
check_gradient_derivative(templ)
get_2pb([pulse_frac, lorentzian])	Convenience function to get a 2 Lorentzian + Gaussian bridge template.
get_gauss1([pulse_frac, x1, width1])	Return a one-gaussian template.
get_gauss2([pulse_frac, x1, x2, ratio, ...])	Return a two-gaussian template.
isvector(x)
make_twoside_gaussian(one_side_gaussian)	Make a two-sided gaussian with the same initial shape as the input one-sided gaussian.
prim_io(template[, bound_eps])	Read files and build LCPrimitives.

Classes

GaussianPrior(locations, widths, mod[, mask])
LCTemplate(primitives[, norms, cache_kwargs])	Manage a lightcurve template (collection of LCPrimitive objects).