CONAN.models.jump_fit

CONAN.models.jump_fit#

CONAN.models.jump_fit(data, res, useJump, return_coeffs=False)#

Fit Heaviside step offsets at given jump timestamps.

Parameters:

  • data (dict) – data for this lc/rv (must contain useJump.par and “col2” for errors)

  • res (array-like) – for lc: residuals after dividing flux by (transit model * para_baseline), centered around 1 for rv: residuals after subtracting rv model and para_baseline, centered around 0

  • useJump (SimpleNamespace) – .par : column key for the jump axis, e.g. “col0” for time .jump_times : list of timestamps where flux/rv jumps occur

  • return_coeffs (bool) – if True, also return the fitted jump amplitudes

Returns:

  • jmp (array-like) – the Heaviside fit evaluated at every data point

  • coeffs (array-like, optional) – fitted jump amplitudes (one per entry in jump_times), returned when return_coeffs=True

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