TF-PWA

TF-PWA is a generic software package intended for Partial Wave Analysis (PWA). It can be connected with zfit, currently by providing a loss function that can be minimized by a zfit minimizer.

Import the module with:

import zfit_physics.tfpwa as ztfpwa

This will enable that FCN can be used as a loss function in zfit minimizers as

minimizer.minimize(loss=fcn)

More explicitly, the loss function can be created with

nll = ztfpwa.loss.nll_from_fcn(fcn)

which optionally takes already created ZfitParameter as arguments.

Variables

zfit_physics.tfpwa.variables.params_from_fcn(fcn)

Get zfit.Parameter objects from a tf_pwa.FCN.

Parameters:

fcn (FCN) – A tf_pwa.FCN

Return type:

HashableList[Parameter]

Returns:

list of zfit.Parameter

Loss

zfit_physics.tfpwa.loss.nll_from_fcn(fcn, *, params=None)

Create a zfit loss from a tf_pwa FCN.

Parameters:

• fcn (FCN) – A tf_pwa.FCN

• params (Union[ZfitParameter, Iterable[ZfitParameter], None]) – list of zfit.Parameter, optional Parameters to use in the loss. If None, all trainable parameters in the FCN are used.

Returns:

zfit.loss.SimpleLoss