contur.config package
Submodules
contur.config.config module
Global configuration class setting default behaviour, importing contur loads all of the following
- Module members:
Where these are settable from the command line. See `contur --help`
for documentation.
useTheoryCorr (
bool
) see`--xtc`
offline (
bool
) see`--offline`
vetoAnalyses (
string
) see`--ana-match`
onlyAnalyses (
string
) see`--ana-unmatch`
splitAnalysis (
bool
) see`--ana-split`
exclude_met_ratio (
bool
) see`--xr`
exclude_hgg (
bool
) see`--xhg`
exclude_hww (
bool
) see`--xhw`
exclude_awz (
bool
) see`--awz`
exclude_b_veto (
bool
) see`--wbv`
exclude_searches (
bool
) see`-s`
exclude_soft_physics (
bool
) see`--soft_physics`
tracks_only (
bool
) see`--tracks_only`
gridMode (
bool
) see`-g`
weight (
string
) see`--wn
binwidth see
`--BW`
binoffset see
`--BO`
blocklist (default {“MASS”,”STOPMIX”}) see
`--S`
Stats/fitting, parameters, see `contur --help`
min_num_sys
look_elsewhere
Batch system
using_condor
condor_os
using_qsub (Default)
using_slurm
seed (random number seed)
Presentation options for rivet
nostack If true, don’t stack signal and background for display
These are used by `contur-plot`
contour_colour
map_colorCycle (set to None, will be initialised from colour config if a pool name is unrecognised)
plot_format (pdf or png)
Default file names
mceg (default “herwig”)
mceg_template (default “herwig.in”)
paramfile (default “params.dat”)
tag (default “runpoint”)
unneeded_files (default [“herwig.run”,”Looptools.log”, “py.py”, “mgevents”]) These files will be removed when runing
`contur-gridtool`
param_steering_file (default “param_file.dat”)
summary_file (default Summary.txt)
output_dir (default ANALYSIS)
batch_output_dir (default myscan00)
These are used internally, set from other conditions.
silenceWriter (
bool
) – Disables a lot of plotting output, for when it is not needed (eg in grid mode).contur_log (
logging.logger
) logger object
- stat_types [“DATABG”,”SMBG”,”EXP”,”HLEXP”] This indexes different ways of evaluating a likelihood.
DATABG: using the data as the background. This can always be done and is what has been used for most contur results so far. SMBG: if we have the Standard Model prediction, we evaluate the exclusion using this as the background too. EXP: this is the expected limit. Evaluated by moving the data central value to the SM prediction (when we have one) HLEXP: this is the expected limit. Evaluated as above, but reducing the uncertainties by sqrt of lumi ratio to the projected HL-LHC
contur.config.paths module
contur.config.version module
set the version number