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# This file is part of MAUS: http://micewww.pp.rl.ac.uk:8080/projects/maus
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# MAUS is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# MAUS is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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# You should have received a copy of the GNU General Public License
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# along with MAUS. If not, see <http://www.gnu.org/licenses/>.
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# NOTE: please use lower_case_and_underscores for new configuration cards
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#output_root_file_name = "maus_output_test.root"
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simulation_geometry_filename = "Stage4_new_LH2_vac_nominal.dat"
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#simulation_geometry_filename = "Stage4_new_LH2_vac_noVirts.dat"
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simulation_reference_particle = { # used for setting particle phase
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"position":{"x":0.0, "y":0.0, "z":z_start_pos},
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"momentum":{"x":0.0, "y":0.0, "z":1.0},
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"particle_id":-13, "energy":232.1, "time":0.0, "random_seed":10
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# geant4 visualisation (not event display)
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geant4_visualisation = False
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use_global_random_seed = 1
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#global_random_seed = 123
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spill_generator_number_of_spills = 20
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# used by MapPyBeamMaker to generate input particle data
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# This is a sample beam distribution based on guesses by Chris Rogers of what
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# an optimised beam might look like
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"particle_generator":"binomial", # routine for generating empty primaries
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"binomial_n":10, # number of coin tosses
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"binomial_p":1.0, # probability of making a particle on each toss
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"random_seed":5, # random seed for beam generation; controls also how the MC
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"reference":simulation_reference_particle, # reference particle
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"random_seed_algorithm":"incrementing_random", # algorithm for seeding MC
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"weight":100., # probability of generating a particle
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"transverse_mode" : "penn",
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"normalised_angular_momentum":0.0,
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"longitudinal_mode":"sawtooth_time", # longitudinal distribution sawtooth in time
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"momentum_variable":"pz", # Gaussian in total momentum (options energy, pz)
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"sigma_pz":0.0001, # RMS total momentum
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"t_start":-1.e6, # start time of sawtooth
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"t_end":+1.e6}, # end time of sawtooth
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"coupling_mode":"none"
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# "particle_generator":"binomial", # routine for generating empty primaries
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# "binomial_n":20, # number of coin tosses
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# "binomial_p":1.0, # probability of making a particle on each toss
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# "random_seed":5, # random seed for beam generation; controls also how the MC
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# # seeds are generated
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# "reference":simulation_reference_particle, # reference particle
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# "random_seed_algorithm":"incrementing_random", # algorithm for seeding MC
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# "weight":100., # probability of generating a particle
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# "transverse_mode":"constant_solenoid", # transverse distribution matched to constant solenoid field
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# "emittance_4d":6., # 4d emittance
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# "normalised_angular_momentum":0.1, # angular momentum from diffuser
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# "bz":4.e-3 # magnetic field strength for angular momentum calculation
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# "longitudinal":{"longitudinal_mode":"sawtooth_time", # longitudinal distribution sawtooth in time
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# "momentum_variable":"p", # Gaussian in total momentum (options energy, pz)
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# "sigma_p":5.0, # RMS total momentum
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# "t_start":-1.e6, # start time of sawtooth
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# "t_end":+1.e6}, # end time of sawtooth
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# "coupling":{"coupling_mode":"none"} # no dispersion
added
removed
Conf_LH2_multi_nominal_0.0001dpz.py
