hepi.spheno

hepi interface to spheno.

SPheno stands for S(upersymmetric) Pheno(menology) find it here https://spheno.hepforge.org/.

Submodules

Package Contents

Classes

Input

Input for computation and scans.

Runner

SPhenoRunner

Functions

get_input_dir()

Get the input directory.

update_slha(i: Input)

Updates dependent parameters in Input i.

Attributes

spheno_default_runner

Default SPheno Runner to provide backward compatibility

run

set_path

get_path

hepi.spheno.get_input_dir()

Get the input directory.

Returns

in_dir

Return type

str

class hepi.spheno.Input(order: Order, energy: float, particle1: int, particle2: int, slha: str, pdf_lo: str, pdf_nlo: str, mu_f=1.0, mu_r=1.0, pdfset_lo=0, pdfset_nlo=0, precision=0.01, max_iters=50, invariant_mass='auto', result='total', pt='auto', id='', model_path='/opt/MG5_aMC_v2_7_0/models/MSSMatNLO_UFO', update=True)

Bases: hepi.util.DictData

Input for computation and scans.

Variables

  • order (Order) – LO, NLO or NLO+NLL computation.

  • energy (int) – CMS energy in GeV.

  • energyhalf (int) – Halfed energy.

  • particle1 (int) – PDG identifier of the first final state particle.

  • particle2 (int) – PDG identifier of the second final state particle.

  • slha (str) – File path of for the base slha. Modified slha files will be used if a scan requires a change of the input.

  • pdf_lo (str) – LO PDF name.

  • pdf_nlo (str) – NLO PDF name.

  • pdfset_lo (int) – LO PDF member/set id.

  • pdfset_nlo (int) – NLO PDF member/set id.

  • pdf_lo_id (int) – LO PDF first member/set id.

  • pdf_nlo_id (int) – NLO PDF first member/set id.

  • mu (double) – central scale factor.

  • mu_f (double) – Factorization scale factor.

  • mu_r (double) – Renormalization scale factor.

  • precision (double) – Desired numerical relative precision.

  • max_iters (int) – Upper limit on integration iterations.

  • invariant_mass (str) – Invariant mass mode ‘auto = sqrt((p1+p2)^2)’ else value.

  • pt (str) – Transverse Momentum mode ‘auto’ or value.

  • result (str) – Result type ‘total’/’pt’/’ptj’/’m’.

  • id (str) – Set an id of this run.

  • model_path (str) – Path for MadGraph model.

  • update (bool) – Update dependent mu.

has_gluino(self) → bool
has_neutralino(self) → bool
has_charginos(self) → bool
has_weakino(self) → bool
has_squark(self) → bool
has_slepton(self) → bool
hepi.spheno.update_slha(i: Input)

Updates dependent parameters in Input i.

Mainly concerns the mu value used by madgraph.

class hepi.spheno.Runner(path: str, in_dir: str = None, out_dir: str = None, pre=None)
_prepare(self, p: hepi.input.Input, skip=True, **kwargs) → RunParam
_check_input(self, param: hepi.input.Input, **kwargs) → bool
_prepare_all(self, params: List[hepi.input.Input], **kwargs) → List[RunParam]
run(self, params: List[hepi.input.Input], parse=True, parallel=True, sleep=0, **kwargs)

Run the passed list of parameters.

Parameters

  • params (list of hepi.Input) – All parameters that should be executed/queued.

  • skip (bool) – True means stored runs will be skipped. Else the are overwritten.

  • parse (bool) – Parse the results. This is not the prefered cluster/parallel mode, as there the function only queues the job.

  • parallel (bool) – Run jobs in parallel.

  • sleep (int) – Sleep seconds after starting job.

Returns

combined dictionary of results and parameters. Each member therein is a list.

The dictionary is empty if parse is set to False.

Return type

dict

_run(self, rps: List[RunParam], wait=True, parallel=True, sleep=0, **kwargs)

Runs Runner per RunParams.

Parameters

  • rps (list of RunParams) – Extended run parameters.

  • bar (bool) – Enable info bar.

  • wait (bool) – Wait for parallel runs to finish.

  • sleep (int) – Sleep seconds after starting subprocess.

  • parallel (bool) – Run jobs in parallel.

Returns

return codes from jobs if no_parse is False.

Return type

list of int

_is_valid(self, file: str, p: hepi.input.Input, d) → bool

Verifies that a file is a complete output.

Parameters

  • file (str) – File path to be parsed.

  • p (hepi.Input) – Onput parameters.

  • d (dict) – Param dictionary.

Returns

True if file could be parsed.

Return type

bool

parse(self, outputs: List[str]) → List[hepi.results.Result]

Parses Resummino output files and returns List of Results.

Parameters

outputs (list of str) – List of the filenames to be parsed.

Returns

list of hepi.resummino.result.ResumminoResult

_parse_file(self, file: str) → hepi.results.Result

Extracts results from an output file.

Parameters

file (str) – File path to be parsed.

Returns

If a value is not found in the file None is used.

Return type

Result

get_path(self) → str

Get the Runner path.

Returns

current Runner path.

Return type

str

get_input_dir(self) → str

Get the input directory.

Returns

in_dir

Return type

str

get_output_dir(self) → str

Get the input directory.

Returns

out_dir

Return type

str

get_pre(self) → str

Gets the command prefix.

Returns

pre

Return type

str

set_path(self, p: str)

Set the path to the Runner folder containing the binary in ‘./bin’.

Parameters

p (str) – new path.

set_input_dir(self, indir: str)

Sets the input directory.

Parameters

indir (str) – new input directory.

set_output_dir(self, outdir: str, create: bool = True)

Sets the output directory.

Parameters

outdir (str) – new output directory. create (bool): create directory if not existing

set_pre(self, ppre: str)

Sets the command prefix.

Parameters

ppre (str) – new command prefix.

class hepi.spheno.SPhenoRunner(path: str, in_dir: str = None, out_dir: str = None, pre=None)[source]

Bases: hepi.run.Runner

run(self, slhas: List[hepi.input.Input], **kwargs) → List[hepi.input.Input]

Run the passed list of parameters for SPheno.

Parameters

slhas (list of Input) – Input parameters with a SLHA file that can be processed by SPheno.

Returns

list of Input

hepi.spheno.spheno_default_runner[source]

Default SPheno Runner to provide backward compatibility

hepi.spheno.run[source]
hepi.spheno.set_path[source]
hepi.spheno.get_path[source]