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asteca.likelihood

asteca.likelihood#

Module Contents#

Classes#

likelihood

Define a likelihood object.
class asteca.likelihood.likelihood#

Define a likelihood object.

This object is used to assess how similar your observed cluster is, stored in a cluster object, compared to a given synthetic cluster, generated by the synthetic.generate() method.

Parameters:

  • my_cluster (cluster) – asteca.cluster object with the loaded data for the observed cluster.

  • lkl_name (str, {"plr"}, default="plr") – Currently only the Poisson likelihood ratio defined in Tremmel et al. (2013) is accepted.

  • bin_method (str, {"knuth", "fixed", "bayes_blocks", "manual"}, default="knuth") – Bin method used to split the color-magnitude diagram into cells (Hess diagram). If manual is selected, a list containing an array of edge values for the magnitude, followed by one or two arrays (depending on the number of colors defined) for the color(s), also with edge values.

get(synth_clust)#

Evaluate the selected likelihood function.

Parameters:

synth_clust (array) – np.array containing the synthetic cluster. The shape of this array must be: [magnitude, color1, (color2)], where magnitude and color are arrays with the magnitude and color photometric data (color2 is the optional second color defined).

Returns:

Likelihood value.

Return type:

float

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