| |
 |
| Paper: |
Smart Control of Monte Carlo Simulations for Astroparticle Physics |
| Volume: |
522, Astronomical Data Analysis Software and Systems XXVII |
| Page: |
417 |
| Authors: |
Bunse, M.; Bockermann, C.; Buss, J.; Morik, K.; Rhode, W.; Ruhe, T. |
| Abstract: |
Imaging Air Cherenkov Telescopes, such as VERITAS and MAGIC, rely on models for
signal separation and energy estimation. These models are fit to
simulated airshowers, each of which is associated with a single initial
particle of known type and energy. Simulating an airshower from
such primary particles requires the execution of fine-grained stochastic
processes to emulate the behaviour of millions of secondary
particles.
In this work we explore the smart control of simulator runs to
reduce the overall runtime of data generation whilst producing the most useful
example set for model fitting. We give an overview of the approach
and provide an evaluation using data from the widely used CORSIKA
shower simulation. |
|
|
|
|
|
