yadmark.benchmark.external package

Submodules

yadmark.benchmark.external.apfel_utils module

Utilities to help run APFEL.

yadmark.benchmark.external.apfel_utils.compute_apfel_data(theory, observables, pdf)[source]

Run APFEL to compute observables.

Parameters:

  • theory (dict) – theory runcard

  • observables (dict) – observables runcard

  • pdf (lahapdf_like) – PDF set

Returns:

AFPEL numbers

Return type:

dict

yadmark.benchmark.external.apfel_utils.load_apfel(theory, observables, pdf='ToyLH', use_external_grid=False)[source]

Set APFEL parameter from theory dictionary.

Parameters:

  • theory (dict) – theory and process parameters

  • observables (dict) – observables runcard

  • pdf (str) – PDF name

Returns:

loaded apfel wrapper

Return type:

module

yadmark.benchmark.external.apfelpy_utils module

Utilities to help run APFEL++ benchmarks.

yadmark.benchmark.external.apfelpy_utils.compute_apfelpy_data(theory, observables, pdf)[source]

Run APFEL++ to compute observables.

Parameters:

  • theory (dict) – theory runcard

  • observables (dict) – observables runcard

  • pdf (lahapdf_like) – PDF set

Returns:

AFPEL numbers

Return type:

dict

yadmark.benchmark.external.apfelpy_utils.couplings(ap, pids, proc_type, obs_name)[source]

Return the corresponding coupling given a process type and an observable.

Parameters:

  • pids (int) – PDG ID of the projectile

  • proc_type – type of the DIS process

  • obs_name (str) – name of the Yadism observable

Returns:

a callable function that computes the coupling as a function of the scale Q

Return type:

callable

yadmark.benchmark.external.apfelpy_utils.map_apfelpy_sf(init, observables, fns)[source]

Get required structure function.

Parameters:

  • init (ap.initializers) – Apfel++ initializers

  • observables (dict) – observables runcard

  • fns (str) – flavor number scheme

Return type:

Apfel++ structure function initalizer

yadmark.benchmark.external.apfelpy_utils.tabulate_cc(ap, obs_name, sfobj, nq, qmin, qmax, thrs)[source]

Tabulate the CC structure function predictions.

Parameters:

  • obs_name (str) – name of the observable

  • sfobj (list(ap.init.InitalizeSFNCOjbectsZM)) – list of SF objects in Zero-Mass Flavour Number Scheme

  • nq (int) – number of Q points

  • qmin (float) – minimal value of Q

  • qmax (float) – maximal value of Q

  • thrs (list) – list of quark masses and thresholds

Returns:

Apfel++ callable functions to evaluate SF from

Return type:

callable

yadmark.benchmark.external.apfelpy_utils.tabulate_nc(ap, obs_name, sfobj, nq, qmin, qmax, thrs)[source]

Tabulate the NC/EM structure function predictions.

Parameters:

  • obs_name (str) – name of the observable

  • sfobj (ap.init.InitalizeSFNCOjbectsZM) – SF objects in Zero-Mass Flavour Number Scheme

  • nq (int) – number of Q points

  • qmin (float) – minimal value of Q

  • qmax (float) – maximal value of Q

  • thrs (list) – list of quark masses and thresholds

Returns:

Apfel++ callable functions to evaluate SF from

Return type:

callable

yadmark.benchmark.external.qcdnum_utils module

Benchmark to QCDNUM.

class yadmark.benchmark.external.qcdnum_utils.PdfCallable(pdf)[source]

Bases: object

Wrapper to introduce lhapdf under QCDNUM.

Parameters:

pdf (lhapdf_like) – PDF set

__call__(ipdf, x, qmu2, first)[source]

Functor function.

Parameters:

  • ipdf (int) – pid

  • x (float) – momentum fraction

  • qmu2 (float) – momentum transfer

Return type:

pdf(x)

yadmark.benchmark.external.qcdnum_utils.compute_qcdnum_data(theory, observables, pdf)[source]

Run QCDNUM to compute observables.

Parameters:

  • theory (dict) – theory runcard

  • observables (dict) – observables runcard

  • pdf (lhapdf_like) – PDF set

Returns:

num_tab – QCDNUM numbers

Return type:

dict

yadmark.benchmark.external.xspace_bench_utils module

Benchmark to xspace_bench (the original FONLL implementation).

yadmark.benchmark.external.xspace_bench_utils.compute_xspace_bench_data(theory, observables, pdf)[source]

Run xspace_bench to compute observables.

Parameters:

  • theory (dict) – theory runcard

  • observables (dict) – observables runcard

  • pdf (lhapdf_like) – PDF set

Returns:

xspace_bench numbers

Return type:

dict