Speaker
M. POTEKHIN
(BROOKHAVEN NATIONAL LABORATORY)
Description
The STAR Collaboration is currently using simulation software
based on Geant 3. The emergence of the new Monte Carlo
simulation packages, coupled with evolution of both STAR
detector and its software, requires a drastic change of
the simulation framework.
We see the Virtual Monte Carlo (VMC) approach as providing
a layer of abstraction that facilitates such transition.
The VMC platform is a candidate to replace the present legacy
software, and help avoid its certain shortcomings, such as
the use of a particular algorithmic language to describe the
detector geometry. It will also allow us to introduce a more
flexible in-memory representation of the geometry.
The Virtual Monte Carlo concept includes a platform-neutral
kernel of the application, to the highest degree possible.
This kernel is then equipped with interfaces to the modules
responsible for simulating the physics of particle propagation,
and tracking.
We consider the geometry description classes in the ROOT
system (in its latest form known as TGeo classes) as a good
choice for the in-memory geometry representation.
We present an application design based on the Virtual Monte Carlo,
along with the results of testing, benchmarking and comparison
to Geant 3. Internal event representation and IO model will
be also discussed.
Primary authors
Jerome LAURET
(BROOKHAVEN NATIONAL LABORATORY)
M. POTEKHIN
(BROOKHAVEN NATIONAL LABORATORY)
V. Perevoztchikov
(BROOKHAVEN NATIONAL LABORATORY)
Y. FISYAK
(BROOKHAVEN NATIONAL LABORATORY)
