The process options module

In order for validphys to automatically apply the correct plotting options for a given family of processes, it is necessary to define the correct process_type within the metadata of the datasets.

The valid processes are currently defined in the process_options module validphys/src/validphys2/ These correspond to both the physical hadronic process and the variables being measured. E.g., the same physical process (TTBAR) can be presented as a differential distribution in the rapidity or the transverse momentum. This means the variables available for plotting routines will be different and thus correspond to two different types (in this case HQP_YQQ and HQP_PTQ).

How to add a new process type

Adding a new process requires:

  1. A name for the process

  2. A small description to be used for various plotting routines

  3. The list of accepted variables

  4. A function to compute the x-Q2 mapping out of the accepted variables.

e.g., in order to implement a process for jets this would result in:

DIJET = _Process(
  "DiJets Production",
  accepted_variables=(_Vars.ystar, _Vars.m_jj, _Vars.sqrts, _Vars.ydiff),

With the x2map_function being defined as _dijets_xq2map, also present in the same module:

def _dijets_xq2map(kin_info):
    # Here we can have either ystar or ydiff, but in either case we need to do the same
    ylab = kin_info.get_one_of(_Vars.ystar, _Vars.ydiff)
    # Then compute x, Q2
    ratio = kin_info[_Vars.m_jj] / kin_info[_Vars.sqrts]
    x1 = ratio * np.exp(ylab)
    x2 = ratio * np.exp(-ylab)
    q2 = kin_info[_Vars.m_jj] * kin_info[_Vars.m_jj]
    x = np.concatenate((x1, x2))
    return np.clip(x, a_min=None, a_max=1, out=x), np.concatenate((q2, q2))

Note that only the variables included in the accepted_variables list can be used by the function.

In some cases, different experiment will use slightly different variables but the computation of x-Q2 will be otherwise the same. In such cases, as is shown in the example above, the special function get_one_of is used to generalize the function passed as x2map_function.