Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.
For testing it would be good to have a little more complexity in our RNG-determined input that would allow us to have a reasonably realistic parameterized set of "primaries" that could come from a Geant4 problem. To do this we should:
Enable offload_output_file to ROOT and set up test beam inputs for HGCal, TileCal (and maybe ttbar inputs for full CMS?)
Save a GB or so of primaries from each case
Calculate some histograms for angle, particle type, energy, position (r/z?)
???
Implement a new PrimaryGenerator that can sample from a relatively complex distribution
Use that distribution to sample primaries in our regression tests
For testing it would be good to have a little more complexity in our RNG-determined input that would allow us to have a reasonably realistic parameterized set of "primaries" that could come from a Geant4 problem. To do this we should:
offload_output_fileto ROOT and set up test beam inputs for HGCal, TileCal (and maybe ttbar inputs for full CMS?)