def run(self, studyname = None, studygroup = 'ripple', nturns = 50000, nbatches = 500, nparperbatch = 200, seed = 0, pycollimate = False, elements = ['AP.UP.ZS21633','AP.DO.ZS21676','AP.UP.TPST21760'], ffile = 500, savetracks = False, **mySettings):
# Create settings instance
if studyname is None:
studyname = self.folder
self.settings = Settings(self.folder, studygroup = studygroup, disk = 'afsproject')
# Set folder name for the study in the studyGroup directory
self.settings.name = self.folder
# Set tracker to custom
self.settings.trackerrep = lambda k, data, settings: self.tracker(k, data, settings)
# Set random seed
self.settings.seed = seed
# Use pyCollimate scattering routine
self.settings.pycollimate = pycollimate
# Observe losses at these elements
self.settings.elements = elements
# Simulation length in number of turns
self.settings.nturns = nturns
# Save tracks every ffile turns
self.settings.ffile = ffile
# Number of batches
self.settings.nbatches = nbatches # number of batches
# Number of particles per batch
self.settings.nparperbatch = nparperbatch # particles per batch
# Save track files - takes up a lot of space
self.settings.savetracks = savetracks
# Other settings
for mySetting in mySettings:
setattr(self.settings, mySetting, mySettings[mySetting])
submit_job(self.settings)
k) + "/" + temp + "');\n"
line += "\n"
if (settings.saveloss):
line += "WRITE, TABLE = trackloss, FILE = 'losses.tfs';\n\n"
line += "SYSTEM, 'tar -czf tracks.tar.gz " + str(k) + "';"
return line
settings = Settings('pc_tracks', studygroup='test', disk='afsproject')
settings.trackerrep = track_test
settings.saveout = False
settings.seed = 0
settings.elements = ['AP.UP.ZS21633_M', 'AP.DO.ZS21676_M', 'TPST.21760']
settings.nturns = 50000
settings.nbatches = 100
settings.nparperbatch = 1000
settings.ffile = 1
settings.dynamicbump = False
settings.pycollimate = True
settings.flavour = "tomorrow"
submit_job(settings)
