professor is hosted by Hepforge, IPPP Durham

Plotting parameterised histograms – prof-ipolhistos

prof-ipolhistos makes parameterised histograms for a parameter point, using the parameterisations built by prof-interpolate. It writes out one AIDA histogram file, plottable with the usual Rivet tools (see e.g. prof-tune) for each run combination (i.e. each parameterisation).

As for prof-interpolate, it is necessary to specify a file with the observables to be plotted, using --obsfile OBSFILE. Also, the run combinations can be given with --runsfile RUNSFILE and the type of parameterisation with --ipol IPOLMETHOD: the default set of runs will be all those found in the MCDIR, if available.

The --datadir DATADIR and related options are used as normal to specify the reference data, MC runs, and interpolation objects: see the path options page.

The parameter point(s) at which the parameterisations are to be evaluated may be supplied in several ways: as a list of NAME=VALUE pairs on the command line with the --params option, or as a parameter file or set of files with the --paramsfile or --paramsdir options.

The --subdirs option flag is useful for producing a collection of AIDA files in the format of a Professor input mc directory, i.e. fake Rivet runs.

Example

Simple example: make a single AIDA file using the all-runs cubic interpolation, and for all available observables, at the given param point:

prof-ipolhistos --data /my/data --ipol cubic --params PAR1=1.5,PAR2=42

Command-line options

The --datadir DATADIR and related options are used as normal to specify the reference data, MC runs, and interpolation objects: see the path options page.

Input

--runs RUNSFILE, --runcombs RUNSFILE

A file with run combinations that are used as anchor points. One set of polynomial coefficients is calculated for each run combination. [default: runcombs.dat]

--ipol IPOLMETHOD

The interpolation method. At the moment the order of the polynomial: quadratic or cubic. [default: quadratic]

--weights WEIGHTS, --obsfile WEIGHTS

A file listing the observables and their weights which are used in the GoF.

Table Of Contents

Previous topic

Creating observable weight files – prof-lsobs

Next topic

Comparing tune performance – prof-comparetunes

This Page