Analysis
The output of Reconstruction are
data sets sorted into broad physics categories containing sets of
events each characterised by a set of parameters deduced during
reconstruction. These parameters include such quantities as:-
- The total energy and spatial extent.
- The positions of vertices.
- The number, size, and energy of showers and tracks.
- The probability of assigning an event to a particular hypothesis.
Analysis takes this further by studying correlations within and between
events and comparing and fitting to distributions derived from
different physics models. The Monte
Carlo plays a crucial role at this stage in understanding and
correcting for the effects of the detector, the DAQ triggering and
Reconstruction, all of which introduce physics dependent losses and
biases.
The analyses naturally require software that is specific to
the experiment but there are a number of standard analysis tools
e.g. cutting, histogramming and fitting, on which to base this work.
Commonly used analysis applications are:-
- C++ Object Oriented Data Analysis Framework ROOT
- Java Analysis Studio JAS
- Fortran Physicist Analysis Workstation PAW
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Last modified: Tue Oct 19 21:51:04 BST 2004