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gen_photoemission_class.py
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gen_photoemission_class.py
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#-Begin-preamble-------------------------------------------------------
#
# CERN
#
# European Organization for Nuclear Research
#
#
# This file is part of the code:
#
# PyECLOUD Version 8.7.0
#
#
# Main author: Giovanni IADAROLA
# BE-ABP Group
# CERN
# CH-1211 GENEVA 23
# SWITZERLAND
#
# Contributors: Eleonora Belli
# Philipp Dijkstal
# Lorenzo Giacomel
# Lotta Mether
# Annalisa Romano
# Giovanni Rumolo
# Eric Wulff
#
#
# Copyright CERN, Geneva 2011 - Copyright and any other
# appropriate legal protection of this computer program and
# associated documentation reserved in all countries of the
# world.
#
# Organizations collaborating with CERN may receive this program
# and documentation freely and without charge.
#
# CERN undertakes no obligation for the maintenance of this
# program, nor responsibility for its correctness, and accepts
# no liability whatsoever resulting from its use.
#
# Program and documentation are provided solely for the use of
# the organization to which they are distributed.
#
# This program may not be copied or otherwise distributed
# without permission. This message must be retained on this and
# any other authorized copies.
#
# The material cannot be sold. CERN should be given credit in
# all references.
#
#-End-preamble---------------------------------------------------------
import numpy as np
import numpy.random as random
import scipy.io as sio
from scipy.constants import c
from . import electron_emission
class PyECLOUD_PhotoemissionException(ValueError):
pass
class photoemission_base(object):
def get_number_new_mps(self, k_pe_st, lambda_t, Dt, nel_mp_ref):
if self.flag_continuous_emission:
lambda_t = self.mean_lambda
DNel = k_pe_st * c * lambda_t * Dt
N_new_MP = DNel / nel_mp_ref
rest, Nint_new_MP = np.modf(N_new_MP)
return int(Nint_new_MP + int(random.rand() < rest))
def gen_energy_and_set_MPs(self, Nint_new_MP, x_in, y_in, x_out, y_out, MP_e):
# Assumes convex_chamber
#generate points and normals
z_in = z_out = np.zeros_like(x_out, float)
x_int, y_int, _, Norm_x, Norm_y, i_found = self.chamb.impact_point_and_normal(
x_in, y_in, z_in, x_out, y_out, z_out, resc_fac=self.resc_fac)
#generate energies (the same distr. for all photoelectr.)
En_gen = self.get_energy(Nint_new_MP) # in eV
# generate velocities like in impact managment
vx_gen, vy_gen, vz_gen = self.angle_dist_func(Nint_new_MP, En_gen, Norm_x, Norm_y, MP_e.mass)
t_last_impact = -1
MP_e.add_new_MPs(Nint_new_MP, MP_e.nel_mp_ref, x_int, y_int, 0., vx_gen, vy_gen, vz_gen, t_last_impact)
class photoemission(photoemission_base):
def __init__(self, inv_CDF_refl_photoem_file, k_pe_st, refl_frac, e_pe_sigma, e_pe_max, alimit, x0_refl,
y0_refl, out_radius, chamb, resc_fac, energy_distribution, photoelectron_angle_distribution,
beamtim=None, flag_continuous_emission=False):
print('Start photoemission init.')
if not chamb.is_convex():
print('Warning! This photoemission module is not suited for a non-convex chamber!')
if inv_CDF_refl_photoem_file == 'unif_no_file':
self.flag_unif = True
else:
self.flag_unif = False
dict_psi_inv_CDF = sio.loadmat(inv_CDF_refl_photoem_file)
self.inv_CDF_refl = np.squeeze(dict_psi_inv_CDF['inv_CDF'].real)
self.u_sam_CDF_refl = np.squeeze(dict_psi_inv_CDF['u_sam'].real)
self.k_pe_st = k_pe_st
self.refl_frac = refl_frac
self.e_pe_sigma = e_pe_sigma
self.e_pe_max = e_pe_max
self.alimit = alimit
self.y0_refl = y0_refl
self.out_radius = out_radius
self.chamb = chamb
self.resc_fac = resc_fac
self.angle_dist_func = electron_emission.get_angle_dist_func(photoelectron_angle_distribution)
self.flag_continuous_emission = flag_continuous_emission
if flag_continuous_emission:
self.mean_lambda = np.mean(beamtim.lam_t_array)
if y0_refl != 0.:
raise PyECLOUD_PhotoemissionException('The case y0_refl!=0 is NOT IMPLEMETED yet!!!!')
if x0_refl == 'left' or x0_refl=='right':
if x0_refl == 'left':
xout = -self.out_radius
elif x0_refl == 'right':
xout = self.out_radius
x_int, _, _, _, _, _ = self.chamb.impact_point_and_normal(
np.array([0.]), np.array([0.]), np.array([0.]),
3.*np.array([xout]), np.array([0.]), np.array([0.]),resc_fac=0.99999)
self.x0_refl = x_int[0]
else:
self.x0_refl = x0_refl
x0_refl_np_arr = np.array([float(self.x0_refl)])
y0_refl_np_arr = np.array([float(self.y0_refl)])
if np.any(self.chamb.is_outside(x0_refl_np_arr, y0_refl_np_arr)):
raise PyECLOUD_PhotoemissionException('x0_refl, y0_refl is outside of the chamber!')
self.get_energy = electron_emission.get_energy_distribution_func(energy_distribution, e_pe_sigma, e_pe_max)
# Check that outer circle is correct
psi_gen = np.linspace(0, 2.*np.pi, 10000)
x_out = -2. * self.out_radius * np.cos(psi_gen) + self.x0_refl
y_out = 2. * self.out_radius * np.sin(psi_gen)
if np.any(~self.chamb.is_outside(x_out, y_out)):
raise ValueError('Photoemission circle points are inside the chamber, check your settings!')
psi_gen = np.linspace(0, 2.*np.pi, 10000)
x_out = self.out_radius * np.cos(psi_gen)
y_out = self.out_radius * np.sin(psi_gen)
if np.any(~self.chamb.is_outside(x_out, y_out)):
raise ValueError('Photoemission circle points are inside the chamber, check your settings!')
print('Done photoemission init. Energy distribution: %s' % energy_distribution)
def generate(self, MP_e, lambda_t, Dt):
Nint_new_MP = self.get_number_new_mps(self.k_pe_st, lambda_t, Dt, MP_e.nel_mp_ref)
if Nint_new_MP > 0:
#generate appo x_in and x_out
x_in = np.zeros(Nint_new_MP)
y_in = np.zeros(Nint_new_MP)
x_out = np.zeros(Nint_new_MP)
y_out = np.zeros(Nint_new_MP)
#for each one generate flag refl
refl_flag = (random.rand(Nint_new_MP) < self.refl_frac)
gauss_flag = ~refl_flag
#generate psi for refl. photons generation
N_refl = np.sum(refl_flag)
if N_refl > 0:
u_gen = random.rand(N_refl)
if self.flag_unif:
psi_gen = 2. * np.pi * u_gen
x_out[refl_flag] = self.out_radius * np.cos(psi_gen)
y_out[refl_flag] = self.out_radius * np.sin(psi_gen)
else:
psi_gen = np.interp(u_gen, self.u_sam_CDF_refl, self.inv_CDF_refl)
x_in[refl_flag] = self.x0_refl
x_out[refl_flag] = -2. * self.out_radius * np.cos(psi_gen) + self.x0_refl
y_out[refl_flag] = 2. * self.out_radius * np.sin(psi_gen)
#generate theta for nonreflected photon generation
N_gauss = np.sum(gauss_flag)
if N_gauss > 0:
theta_gen = random.normal(0, self.alimit, N_gauss)
x_out[gauss_flag] = self.out_radius * np.cos(theta_gen)
y_out[gauss_flag] = self.out_radius * np.sin(theta_gen)
self.gen_energy_and_set_MPs(Nint_new_MP, x_in, y_in, x_out, y_out, MP_e)
return MP_e
class photoemission_from_file(photoemission_base):
def __init__(self, inv_CDF_all_photoem_file, chamb, resc_fac, energy_distribution, e_pe_sigma, e_pe_max,
k_pe_st, out_radius, photoelectron_angle_distribution, beamtim=None, flag_continuous_emission=False):
if isinstance(inv_CDF_all_photoem_file, str):
print('Start photoemission init from file %s.' % inv_CDF_all_photoem_file)
elif isinstance(inv_CDF_all_photoem_file, dict):
print('Start photoemission init from dict.')
if not chamb.is_convex():
print('Warning! This photoemission module is not suited for a non-convex chamber!')
self.flag_unif = (inv_CDF_all_photoem_file == 'unif_no_file')
if not self.flag_unif:
if isinstance(inv_CDF_all_photoem_file, dict):
mat = inv_CDF_all_photoem_file
else:
mat = sio.loadmat(inv_CDF_all_photoem_file)
self.u_sam = np.squeeze(mat['u_sam'])
self.angles = np.squeeze(mat['angles'])
self.k_pe_st = k_pe_st
self.out_radius = out_radius
self.chamb = chamb
self.resc_fac = resc_fac
self.flag_continuous_emission = flag_continuous_emission
if flag_continuous_emission:
self.mean_lambda = np.mean(beamtim.lam_t_array)
self.get_energy = electron_emission.get_energy_distribution_func(energy_distribution, e_pe_sigma, e_pe_max)
self.angle_dist_func = electron_emission.get_angle_dist_func(photoelectron_angle_distribution)
print('Done photoemission init')
def generate(self, MP_e, lambda_t, Dt):
Nint_new_MP = self.get_number_new_mps(self.k_pe_st, lambda_t, Dt, MP_e.nel_mp_ref)
if Nint_new_MP > 0:
if self.flag_unif:
theta_gen = random.rand(Nint_new_MP) * 2 * np.pi
else:
cdf_gen = random.rand(Nint_new_MP)
theta_gen = np.interp(cdf_gen, self.u_sam, self.angles)
x_out = self.out_radius * np.cos(theta_gen)
y_out = self.out_radius * np.sin(theta_gen)
x_in = y_in = np.zeros(Nint_new_MP)
self.gen_energy_and_set_MPs(Nint_new_MP, x_in, y_in, x_out, y_out, MP_e)
return MP_e
class photoemission_per_segment(photoemission_base):
def __init__(self, chamb, energy_distribution, e_pe_sigma, e_pe_max, k_pe_st,
photoelectron_angle_distribution, beamtim=None, flag_continuous_emission=False):
print('Start photoemission per segment init')
self.k_pe_st = k_pe_st
self.chamb = chamb
self.flag_continuous_emission = flag_continuous_emission
self.get_energy = electron_emission.get_energy_distribution_func(energy_distribution, e_pe_sigma, e_pe_max)
self.angle_dist_func = electron_emission.get_angle_dist_func(photoelectron_angle_distribution)
if self.flag_continuous_emission:
self.mean_lambda = np.mean(beamtim.lam_t_array)
print('Done photoemission init')
def generate(self, MP_e, lambda_t, Dt):
Nint_new_MP = self.get_number_new_mps(self.k_pe_st, lambda_t, Dt, MP_e.nel_mp_ref)
if Nint_new_MP > 0:
x_new_mp, y_new_mp, Norm_x, Norm_y = self.chamb.get_photoelectron_positions(Nint_new_MP)
En_gen = self.get_energy(Nint_new_MP) # in eV
vx_gen, vy_gen, vz_gen = self.angle_dist_func(Nint_new_MP, En_gen, Norm_x, Norm_y, MP_e.mass)
t_last_impact = -1
MP_e.add_new_MPs(x_new_mp.size, MP_e.nel_mp_ref, x_new_mp, y_new_mp, 0., vx_gen, vy_gen, vz_gen, t_last_impact)
return MP_e