AuroraMaster

Introduction

The AuroraMaster package contains python classes providing high level interfaces to the Aurora algorithms and tools. To begin working with AuroraMaster you need to instantiate the AuroraMaster class:

from AuroraMaster.auroramaster import AuroraMaster
am = AuroraMaster(purpose='parsim', olvl='info')

The first argument specifies purpose of the job option. Possible values are: 'parsim', 'fullsim', 'evtgen', and 'analysis'. AuroraMaster initializes Aurora services corresponding to the job option purpose. The second argument specifies general output level ('debug' or 'info').

A job option is formed by a stack of predefined components. Each component has corresponding method in the AuroraMaster class. Let's begin with an example. The following code snippet is a complete job option for event generation and saving them to ROOT file:

from AuroraMaster.auroramaster import AuroraMaster, AuroraConfig
# Instantiate AuroraMaster
am = AuroraMaster('evtgen', 'info')
# Plug EvtGen generator with specified root particle and user
evtgenCfg = {
   'root' : 'psi(3770)',
   'dec': './dkpi.dec'
}
am.add_evtgen(cfg=evtgenCfg)
edmoutputCfg = {
   'filename': 'parsim.root',
   'commands': ['keep *'],
}
am.add_edmo(cfg=edmoutputCfg)
am.run(evtmax=10**4)