The functionality of HBOOK

The various user routines of HBOOK can be subdivided by functionality as follows:

Booking

Declare a one- or two-dimensional histogram or a Ntuple.

Projections

Project two-dimensional distributions onto both axes.

Ntuples

Way of writing micro data-summary-files for further processing. This allows projections of individual variables or correlation plots. Selection mechanisms may be defined.

Function representation

Associates a real function of 1 or 2 variables to a histogram.

Filling

Enter a data value into a given histogram, table or Ntuple.

Access to information

Transfer of numerical values from HBOOK-managed memory to Fortran variables and back.

Arithmetic operations

On histograms and Ntuples.

Fitting

Least squares and maximum likelihood fits of parametric functions to histogramed data.

Monte Carlo testing

Fitting with finite Monte Carlo statistics.

Differences between histograms

Statistical tests on the compatibility in shape between histograms using the Kolmogorov test.

Parameterization

Expresses relationships between as linear combinations of elementary functions.

Smoothing

Splines or other algorithms.

Random number generation

Based on experimental distributions.

Archiving

Information is stored on mass storage for further reference in subsequent programs.

Editing

Choice of the form of presentation of the histogramed data.