def initial_print(partial_state):
print('The initial potential energy is:')
print(np.average(Energy.potential_energy(partial_state))/pow(MPl, 4))
print('Initial Phi Gradient energy is:')
print(np.average(Energy.phi_gradient_energy(partial_state))/pow(MPl, 4))
print('Initial Chi Gradient energy is:')
print(np.average(Energy.chi_gradient_energy(partial_state))/pow(MPl, 4))
print('Initial Phi Kinetic energy is:')
print(np.average(Energy.phi_kinetic_energy(partial_state))/pow(MPl, 4))
print('Initial Chi Kinetic energy is:')
print(np.average(Energy.chi_kinetic_energy(partial_state))/pow(MPl, 4))
def write_curent_data(self, partial_state, step_num, h):
self.files_with_data['energyData'].write(repr(partial_state.a))
self.files_with_data['energyData'].write(' ')
self.files_with_data['energyData'].write(
repr(np.average(Energy.phi_kinetic_energy(partial_state)) / pow(MPl, 4)))
self.files_with_data['energyData'].write(' ')
self.files_with_data['energyData'].write(
repr(np.average(Energy.chi_kinetic_energy(partial_state)) / pow(MPl, 4)))
self.files_with_data['energyData'].write(' ')
self.files_with_data['energyData'].write(
repr(np.average(Energy.phi_gradient_energy(partial_state)) / pow(MPl, 4)))
self.files_with_data['energyData'].write(' ')
self.files_with_data['energyData'].write(
repr(np.average(Energy.chi_gradient_energy(partial_state)) / pow(MPl, 4)))
self.files_with_data['energyData'].write(' ')
if write_separate_potential_energy:
self.files_with_data['energyData'].write(
repr(np.average(Energy.inflaton_potential_energy(partial_state)) / pow(MPl, 4)))
self.files_with_data['energyData'].write(' ')
self.files_with_data['energyData'].write(
repr(np.average(Energy.chi_potential_energy(partial_state)) / pow(MPl, 4)))
self.files_with_data['energyData'].write('\n')
else:
self.files_with_data['energyData'].write(
repr(np.average(Energy.potential_energy(partial_state)) / pow(MPl, 4)))
self.files_with_data['energyData'].write('\n')
# writing fields in program units:
self.files_with_data['fieldData'].write(repr(partial_state.a))
self.files_with_data['fieldData'].write(' ')
self.files_with_data['fieldData'].write(repr(partial_state.pa))
self.files_with_data['fieldData'].write(' ')
self.files_with_data['fieldData'].write(repr(np.average(partial_state.phi)))
self.files_with_data['fieldData'].write(' ')
self.files_with_data['fieldData'].write(repr(np.average(partial_state.chi)))
self.files_with_data['fieldData'].write(' ')
self.files_with_data['fieldData'].write(repr(np.average(partial_state.phiPi)))
self.files_with_data['fieldData'].write(' ')
self.files_with_data['fieldData'].write(repr(np.average(partial_state.chiPi)))
self.files_with_data['fieldData'].write('\n')
self.files_with_data['chiMagnitudeData'].write(repr(partial_state.a))
self.files_with_data['chiMagnitudeData'].write(' ')
self.files_with_data['chiMagnitudeData'].write(repr(np.sqrt(np.average(pw2(partial_state.chi)))))
self.files_with_data['chiMagnitudeData'].write('\n')
self.files_with_data['dtList'].write(repr(step_num))
self.files_with_data['dtList'].write(' ')
self.files_with_data['dtList'].write(repr(h))
self.files_with_data['dtList'].write('\n')
