smefit.rge package

Submodules

smefit.rge.rge module

class smefit.rge.rge.RGE(wc_names, init_scale, accuracy='integrate', adm_QCD=False, yukawa='top')

Bases: object

Class to compute the RGE matrix for the SMEFT Wilson coefficients. The RGE matrix is computed at the initial scale init_scale and evolved to the scale of interest.

Parameters:

• wc_names (list) – list of Wilson coefficient names to be included in the RGE matrix

• init_scale (float) – initial scale of the Wilson coefficients

• accuracy (str) – accuracy of the RGE integration. Options: “leadinglog” or “integrate”. Default is ‘integrate’. Inherited behaviour from wilson package.

• adm_QCD (bool) – if True, only the QCD anomalous dimension is used. Default is False.

• yukawa (str) – Yukawa parameterization to be used. Options: “top”, “none” or “full”. Default is “top”.

property RGEbasis

Returns the RGE basis translated from smefit to Warsaw.

RGEevolve(wcs, scale)

Evolve the Wilson coefficients from the initial scale to the scale of interest.

RGEmatrix(scale)

Compute the RGE solution at the scale scale and return it as a pandas DataFrame.

RGEmatrix_dict(scale)

Compute the RGE solution at the scale scale and return it as a dictionary.

property all_ops

map_to_smefit(wc_final_vals, scale)

Map the Wilson coefficients from the Warsaw basis to the SMEFiT basis.

smefit.rge.rge.beta_wrapper(C, HIGHSCALE=inf, *args, **kwargs)

smefit.rge.rge.evolve_gs(scale)

smefit.rge.rge.load_rge_matrix(rge_dict, coeff_list, datasets=None, theory_path=None, cutoff_scale=None, result_path=None, result_ID=None)

Load the RGE matrix for the SMEFT Wilson coefficients.

Parameters:

• rge_dict (dict) – dictionary with the RGE input parameter options

• coeff_list (list) – list of Wilson coefficients to be included in the RGE matrix

• datasets (list) – list of datasets

• theory_path (str) – path to the theory files

Returns:

rgemat – RGE matrix

Return type:

numpy.ndarray

smefit.rge.rge.load_scales(datasets, theory_path, default_scale=1000.0, cutoff_scale=None, scale_variation=1.0)

Load the energy scales for the datasets.

Parameters:

• datasets (list) – list of datasets

• theory_path (str) – path to the theory files

• default_scale (float) – default scale to use if the dataset does not have a scale

• cutoff_scale (float) – cutoff scale to use for the scales

Returns:

scales – list of scales for the datasets

Return type:

list

smefit.rge.rge.save_rg(path, rgemat)

Save the RGE matrix to the result folder.

Parameters:

• path (pathlib.Path) – path to the result folder

• rgemat (list) – List of RGE matrices for each datapoint

smefit.rge.wcxf module