# vie isospin symmetries)
primary_particle = 2212
# The parameter delta for finite differences computation
delta = 0.001
# Energy grid will be truncated below this value (saves some
# memory and interpolation speed, but not really needed, I think)
E_tr = 1e5
# Set density/atmosphere model:
# For a yearly average of the global atmosphere, the US Std.
# atmosphere is sufficiently accurate. It would be wrong to
# choose here anything related to South Pole, since stuff
# comes from/from below horizon.
atm_model = "CORSIKA" #TODO Try varying this...
atm_model_config = ('BK_USStd', None)
mceq_run.set_density_model((atm_model, atm_model_config))
# Define equidistant grid in cos(theta) for 2D interpolation
# (Can be increased to 20 after debugging is done)
# The flux without propagation effects and atmospheric variations
# is up/down symmetric.
cos_theta = np.linspace(0, 1, 21)
angles = np.arccos(cos_theta) / np.pi * 180.
# Report settings
print("Running with :")
print(" Interaction model : %s" % interaction_model)
print(" Primary cosmic ray spectrum model : %s" % args.cosmic_ray_model)
# Some technical shortcuts
solution = {}
# Primary proton projectile (neutron is included automatically
# vie isosping symmetries)
p = 2212
# The parameter delta for finite differences computation
delta = 0.001
# Energy grid will be truncated below this value (saves some
# memory and interpolation speed, but not really needed, I think)
E_tr = 1e5
# Set density/atmosphere model:
# For a yearly average of the global atmosphere, the US Std.
# atmosphere is sufficiently accurate. It would be wrong to
# choose here anything related to South Pole, since stuff
# comes from/from below horizon.
mceq_run.set_density_model(('CORSIKA', ('BK_USStd', None)))
# Define equidistant grid in cos(theta) for 2D interpolation
# (Can be increased to 20 after debugging is done)
# The flux without propagation effects and atmospheric variations
# is up/down symmetric.
cos_theta = np.linspace(0, 1, 21)
angles = np.arccos(cos_theta) / np.pi * 180.
# Some technical shortcuts
solution = {}
gs = mceq_run.get_solution
pidx = mceq_run.pdg2pref[2212].lidx()
nidx = mceq_run.pdg2pref[2112].lidx()
mag = 0.
tr = np.where(mceq_run.e_grid < 1e5)