MinuitMinimizer

MinuitMinimizer#

class jetset.minimizer.MinuitMinimizer(model, add_simplex=True, conf_dict={'tol': 0.1})[source]#

Bases: Minimizer

iminuit-based backend for JetSeT fits.

Notes

Builds a Minuit function from free model parameters, optionally runs a simplex pre-step, then executes migrad and extracts fit values and covariance information.

Methods Summary

chisq_func(*p)

Chisq func.

contour(par_1, par_2[, bound, bins, ...])

Contour.

draw_contour(par_1, par_2[, bound, levels])

Draw contour.

draw_mncontour(par_1, par_2[, bound, levels])

Draw mncontour.

draw_mnprofile(par[, bound])

draw_profile(par[, bound])

Draw profile.

minos_errors([par])

Minos errors.

mncontour(par_1, par_2[, bound, bins, ...])

Mncontour.

mnprofile(par[, bound, subtract_min])

profile(par[, bound, subtract_min])

Profile.

Methods Documentation

chisq_func(*p)[source]#

Chisq func.

Parameters:

*p (paramters) – target parameters

Returns:

Computed value.

Return type:

object

contour(par_1, par_2, bound=2, bins=20, subtract_min=True)[source]#

Contour.

Parameters:

  • par_1 (object) – First parameter object/name.

  • par_2 (object) – Second parameter object/name.

  • bound (int, optional) – Absolute parameter-bound span.

  • bins (int, optional) – Number of bins used for histograms/grids.

  • subtract_min (bool, optional) – Minimum value for subtract.

Returns:

Computed value.

Return type:

object

draw_contour(par_1, par_2, bound=2, levels=array([0, 1, 2, 3, 4]))[source]#

Draw contour.

Parameters:

  • par_1 (object) – First parameter object/name.

  • par_2 (object) – Second parameter object/name.

  • bound (int, optional) – Absolute parameter-bound span.

  • levels (object, optional) – Contour levels for corner plots.

Returns:

Computed value.

Return type:

object

draw_mncontour(par_1, par_2, bound=2, levels=array([0, 1, 2, 3, 4]))[source]#

Draw mncontour.

Parameters:

  • par_1 (object) – First parameter object/name.

  • par_2 (object) – Second parameter object/name.

  • bound (int, optional) – Absolute parameter-bound span.

  • levels (object, optional) – Contour levels for corner plots.

Returns:

Computed value.

Return type:

object

draw_mnprofile(par, bound=2)[source]#
Parameters:

  • par

  • bound

draw_profile(par, bound=2)[source]#

Draw profile.

Parameters:

  • par (object) – Parameter object or parameter name.

  • bound (int, optional) – Absolute parameter-bound span.

Returns:

Computed value.

Return type:

object

minos_errors(par=None)[source]#

Minos errors.

Parameters:

par (object, optional) – Parameter object or parameter name.

mncontour(par_1, par_2, bound=2, bins=20, subtract_min=True)[source]#

Mncontour.

Parameters:

  • par_1 (object) – First parameter object/name.

  • par_2 (object) – Second parameter object/name.

  • bound (int, optional) – Absolute parameter-bound span.

  • bins (int, optional) – Number of bins used for histograms/grids.

  • subtract_min (bool, optional) – Minimum value for subtract.

Returns:

Computed value.

Return type:

object

mnprofile(par, bound=2, subtract_min=True)[source]#
Parameters:

  • par

  • bound

  • subtract_min

profile(par, bound=2, subtract_min=True)[source]#

Profile.

Parameters:

  • par (object) – Parameter object or parameter name.

  • bound (int, optional) – Absolute parameter-bound span.

  • subtract_min (bool, optional) – Minimum value for subtract.

Returns:

Computed value.

Return type:

object