fidelity_analysis

interferopy.tools.fidelity_analysis(catN_name, catP_name, bins=array([0.0, 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4, 2.6, 2.8, 3.0, 3.2, 3.4, 3.6, 3.8, 4.0, 4.2, 4.4, 4.6, 4.8, 5.0, 5.2, 5.4, 5.6, 5.8, 6.0, 6.2, 6.4, 6.6, 6.8, 7.0, 7.2, 7.4, 7.6, 7.8, 8.0, 8.2, 8.4, 8.6, 8.8, 9.0, 9.2, 9.4, 9.6, 9.8, 10.0, 10.2, 10.4, 10.6, 10.8, 11.0, 11.2, 11.4, 11.6, 11.8, 12.0, 12.2, 12.4, 12.6, 12.8, 13.0, 13.2, 13.4, 13.6, 13.8, 14.0, 14.2, 14.4, 14.6, 14.8]), min_SN_fit=4.0, fidelity_threshold=0.5, kernels=array([3, 5, 7, 9, 11, 13, 15, 17, 19]), verbose=True)[source]

Perform and plot the fidelity analysis on a positive and negative catalog

Parameters

  • catN_name – name of the cropped catalog of negative lines

  • catN_name – name of the cropped catalog of positive lines

  • bins – SN bins for the fidelity analysis

  • min_SN_fit – minimum SN for fidelity fit

  • fidelity_threshold – Fidelity threshold above which to select candidates

  • kernels – list of odd kernel widths to use

Returns

full list of positive candidates with fidelity

Returns

full list of negative candidates with fidelity

Returns

list of positive candidates with fidelity above fidelity_threshold

Returns

list of negative candidates with fidelity above fidelity_threshold