def numerical_loop(real_time, pos, vel, Ie, W_elec, idx, B, E_int, q_dens, Ji,
Ve, Te, DT, max_inc, data_iter, ch_flag):
'''
Does the number crunching for a short snippet. Logs number of time variable changes in ch_flag as powers of 2
(-1 = half, 2 = 4 times slower)
Array values are mutable: Don't have to be returned. Only integer values
'''
qq = 0
while qq < data_iter:
# Check timestep used for this iteration
vel, qq, DT, max_inc, data_iter, ch_flag = aux.check_timestep(
qq, DT, pos, vel, B, E_int, q_dens, Ie, W_elec, max_inc, data_iter,
idx)
# Add timestep to counter
real_time += DT
# Main loop
pos, vel, Ie, W_elec, q_dens_adv, Ji = particles.advance_particles_and_moments(
pos, vel, Ie, W_elec, idx, B, E_int, DT)
q_dens = 0.5 * (q_dens + q_dens_adv)
B = fields.push_B(B, E_int, DT)
E_half, Ve, Te = fields.calculate_E(B, Ji, q_dens)
q_dens = q_dens_adv.copy()
# Predictor-Corrector: Advance fields to start of next timestep
E_int, B = fields.predictor_corrector(B, E_int, E_half, pos, vel,
q_dens_adv, Ie, W_elec, idx, DT)
# Increment loop variable
qq += 1
return DT, ch_flag, max_inc, data_iter, real_time
def test_push_B_w_varying_background():
max_inc = 101
DT = 1.0
x_offset = 200e-9
E = np.zeros((const.NX + 3, 3))
B = np.zeros((const.NX + 3, 3), dtype=float)
x = np.arange(const.NX + 3)
#fig, ax = plt.subplots()
B[:, 0] += x_offset
qq = 1
while qq < max_inc:
# push_B(B, E, DT, qq)
B = fields.push_B(B, E, DT, qq, half_flag=1)
print('t = {}s, B = {}nT'.format((qq - 0.5) * DT, B[0, :] * 1e9))
# =============================================================================
# ax.clear()
# ax.plot(x, B[:, 0] * 1e9)
# ax.plot(x, B[:, 1] * 1e9)
# ax.plot(x, B[:, 2] * 1e9)
# ax.set_title('Bx at t = {}'.format((qq - 0.5) * DT))
# ax.set_ylim(-(const.HM_amplitude + x_offset)*1e9, (const.HM_amplitude + x_offset)*1e9)
# ax.set_xlim(0, const.NX + 3)
# ax.set_ylabel('Magnetic Field (nT)')
# ax.set_xlabel('Cell number')
# plt.pause(0.1)
# =============================================================================
B = fields.push_B(B, E, DT, qq, half_flag=0)
print('t = {}s, B = {}nT'.format(qq * DT, B[0, :] * 1e9))
# =============================================================================
# ax.clear()
# ax.plot(x, B[:, 0] * 1e9)
# ax.plot(x, B[:, 1] * 1e9)
# ax.plot(x, B[:, 2] * 1e9)
# ax.set_title('Bx at t = {}'.format(qq * DT))
# ax.set_ylim(-(const.HM_amplitude + x_offset)*1e9, (const.HM_amplitude + x_offset)*1e9)
# ax.set_xlim(0, const.NX + 3)
# ax.set_ylabel('Magnetic Field (nT)')
# ax.set_xlabel('Cell number')
# plt.pause(0.1)
# =============================================================================
qq += 1
return
def main_loop(pos, vel, idx, Ie, W_elec, Ib, W_mag, Ep, Bp, v_prime, S, T,temp_N, \
B, E_int, E_half, q_dens, q_dens_adv, Ji, ni, nu, mp_flux, \
Ve, Te, Te0, temp3De, temp3Db, temp1D, old_particles, old_fields,\
B_damping_array, E_damping_array, qq, DT, max_inc, part_save_iter, field_save_iter):
'''
Main loop separated from __main__ function, since this is the actual computation bit.
Could probably be optimized further, but I wanted to njit() it.
The only reason everything's not njit() is because of the output functions.
Future: Come up with some way to loop until next save point
Thoughts: declare a variable steps_to_go. Output all time variables at return
to resync everything, and calculate steps to next stop.
If no saves, steps_to_go = max_inc
'''
# Check timestep
qq, DT, max_inc, part_save_iter, field_save_iter, damping_array \
= check_timestep(pos, vel, B, E_int, q_dens, Ie, W_elec, Ib, W_mag, temp3De, Ep, Bp, v_prime, S, T,temp_N,\
qq, DT, max_inc, part_save_iter, field_save_iter, idx, B_damping_array)
# =============================================================================
# # Check number of spare particles every 25 steps
# if qq%25 == 0 and particle_open == 1:
# num_spare = (idx < 0).sum()
# if num_spare < inject_rate.sum() * DT * 5.0:
# # Change this to dynamically expand particle arrays later on (adding more particles)
# print('WARNING :: Less than 5 time increments of spare particles remaining. Widening arrays...')
# pos, vel, idx, Ie, W_elec, Ib, W_mag, Ep, Bp, v_prime, S, T, temp_N, old_particles = \
# increase_particle_array_size(pos, vel, idx, Ie, W_elec, Ib, W_mag, Ep, Bp, v_prime,
# S, T, temp_N, old_particles)
# =============================================================================
# Move particles, collect moments
particles.advance_particles_and_moments(pos, vel, Ie, W_elec, Ib, W_mag, idx, Ep, Bp, v_prime, S, T,temp_N,\
B, E_int, DT, q_dens_adv, Ji, ni, nu, mp_flux)
# Average N, N + 1 densities (q_dens at N + 1/2)
q_dens *= 0.5
q_dens += 0.5 * q_dens_adv
# Push B from N to N + 1/2
fields.push_B(B, E_int, temp3Db, DT, qq, B_damping_array, half_flag=1)
# Calculate E at N + 1/2
fields.calculate_E(B, Ji, q_dens, E_half, Ve, Te, Te0, temp3De, temp3Db,
temp1D, E_damping_array)
###################################
### PREDICTOR CORRECTOR SECTION ###
###################################
# Store old values
mp_flux_old = mp_flux.copy()
old_particles[0, :] = pos
old_particles[1:4, :] = vel
old_particles[4, :] = Ie
old_particles[5:8, :] = W_elec
old_particles[8, :] = idx
old_fields[:, 0:3] = B
old_fields[:NC, 3:6] = Ji
old_fields[:NC, 6:9] = Ve
old_fields[:NC, 9] = Te
# Predict fields
E_int *= -1.0
E_int += 2.0 * E_half
fields.push_B(B, E_int, temp3Db, DT, qq, B_damping_array, half_flag=0)
# Advance particles to obtain source terms at N + 3/2
particles.advance_particles_and_moments(pos, vel, Ie, W_elec, Ib, W_mag, idx, Ep, Bp, v_prime, S, T,temp_N,\
B, E_int, DT, q_dens, Ji, ni, nu, mp_flux, pc=1)
q_dens *= 0.5
q_dens += 0.5 * q_dens_adv
# Compute predicted fields at N + 3/2
fields.push_B(B, E_int, temp3Db, DT, qq + 1, B_damping_array, half_flag=1)
fields.calculate_E(B, Ji, q_dens, E_int, Ve, Te, Te0, temp3De, temp3Db,
temp1D, E_damping_array)
# Determine corrected fields at N + 1
E_int *= 0.5
E_int += 0.5 * E_half
# Restore old values: [:] allows reference to same memory (instead of creating new, local instance)
pos[:] = old_particles[0, :]
vel[:] = old_particles[1:4, :]
Ie[:] = old_particles[4, :]
W_elec[:] = old_particles[5:8, :]
idx[:] = old_particles[8, :]
B[:] = old_fields[:, 0:3]
Ji[:] = old_fields[:NC, 3:6]
Ve[:] = old_fields[:NC, 6:9]
Te[:] = old_fields[:NC, 9]
fields.push_B(B, E_int, temp3Db, DT, qq, B_damping_array,
half_flag=0) # Advance the original B
q_dens[:] = q_dens_adv
mp_flux = mp_flux_old.copy()
return qq, DT, max_inc, part_save_iter, field_save_iter
def main_loop(pos, vel, idx, Ie, W_elec, Ib, W_mag, \
B, E_int, E_half, q_dens, q_dens_adv, Ji, ni, nu, \
Ve, Te, temp3D, temp3D2, temp1D, old_particles, old_fields,\
qq, DT, max_inc, part_save_iter, field_save_iter):
'''
Main loop separated from __main__ function, since this is the actual computation bit.
Could probably be optimized further, but I wanted to njit() it.
The only reason everything's not njit() is because of the output functions.
Future: Come up with some way to loop until next save point
Thoughts: declare a variable steps_to_go. Output all time variables at return
to resync everything, and calculate steps to next stop.
If no saves, steps_to_go = max_inc
'''
# Check timestep
qq, DT, max_inc, part_save_iter, field_save_iter \
= check_timestep(pos, vel, B, E_int, q_dens, Ie, W_elec, Ib, W_mag, temp3D, \
qq, DT, max_inc, part_save_iter, field_save_iter, idx)
# Move particles, collect moments
particles.advance_particles_and_moments(pos, vel, Ie, W_elec, Ib, W_mag, idx, \
B, E_int, DT, q_dens_adv, Ji, ni, nu, temp1D)
# Average N, N + 1 densities (q_dens at N + 1/2)
q_dens *= 0.5
q_dens += 0.5 * q_dens_adv
# Push B from N to N + 1/2
fields.push_B(B, E_int, temp3D, DT, qq, half_flag=1)
# Calculate E at N + 1/2
fields.calculate_E(B, Ji, q_dens, E_half, Ve, Te, temp3D, temp3D2, temp1D)
###################################
### PREDICTOR CORRECTOR SECTION ###
###################################
# Store old values
old_particles[0, :] = pos
old_particles[1:4, :] = vel
old_particles[4, :] = Ie
old_particles[5:8, :] = W_elec
old_fields[:, 0:3] = B
old_fields[:, 3:6] = Ji
old_fields[:, 6:9] = Ve
old_fields[:, 9] = Te
# Predict fields
E_int *= -1.0
E_int += 2.0 * E_half
fields.push_B(B, E_int, temp3D, DT, qq, half_flag=0)
# Advance particles to obtain source terms at N + 3/2
particles.advance_particles_and_moments(pos, vel, Ie, W_elec, Ib, W_mag, idx, \
B, E_int, DT, q_dens, Ji, ni, nu, temp1D, pc=1)
q_dens *= 0.5
q_dens += 0.5 * q_dens_adv
# Compute predicted fields at N + 3/2
fields.push_B(B, E_int, temp3D, DT, qq + 1, half_flag=1)
fields.calculate_E(B, Ji, q_dens, E_int, Ve, Te, temp3D, temp3D2, temp1D)
# Determine corrected fields at N + 1
E_int *= 0.5
E_int += 0.5 * E_half
# Restore old values: [:] allows reference to same memory (instead of creating new, local instance)
pos[:] = old_particles[0, :]
vel[:] = old_particles[1:4, :]
Ie[:] = old_particles[4, :]
W_elec[:] = old_particles[5:8, :]
B[:] = old_fields[:, 0:3]
Ji[:] = old_fields[:, 3:6]
Ve[:] = old_fields[:, 6:9]
Te[:] = old_fields[:, 9]
fields.push_B(B, E_int, temp3D, DT, qq,
half_flag=0) # Advance the original B
q_dens[:] = q_dens_adv
return qq, DT, max_inc, part_save_iter, field_save_iter
# Check timestep
vel, qq, DT, max_inc, data_iter, ch_flag \
= aux.check_timestep(qq, DT, pos, vel, B, E_int, q_dens, Ie, W_elec, max_inc, data_iter, idx)
if ch_flag == 1:
print 'Timestep halved. Syncing particle velocity with DT = {}'.format(
DT)
elif ch_flag == 2:
print 'Timestep Doubled. Syncing particle velocity with DT = {}'.format(
DT)
# Main loop
pos, vel, Ie, W_elec, q_dens_adv, Ji = particles.advance_particles_and_moments(
pos, vel, Ie, W_elec, idx, B, E_int, DT)
q_dens = 0.5 * (q_dens + q_dens_adv)
B = fields.push_B(B, E_int, DT)
E_half, Ve, Te = fields.calculate_E(B, Ji, q_dens)
q_dens = q_dens_adv.copy()
# Predictor-Corrector: Advance fields to start of next timestep
E_int, B = fields.predictor_corrector(B, E_int, E_half, pos, vel,
q_dens_adv, Ie, W_elec, idx, DT)
if generate_data == 1:
if qq % data_iter == 0:
save.save_data(DT, data_iter, qq, pos, vel, Ji, E_int, B, Ve,
Te, q_dens)
if (qq + 1) % 25 == 0:
print 'Timestep {} of {} complete'.format(qq + 1, max_inc)
qq, DT, max_inc, part_save_iter, field_save_iter, idx, B_damping_array)
# Move particles, collect moments, delete or inject new particles
particles.advance_particles_and_moments(pos, vel, Ie, W_elec, Ib, W_mag, idx, Ep, Bp, v_prime, S, T,temp_N,\
B, E_int, DT, q_dens_adv, Ji, ni, nu, flux_rem)
# Average N, N + 1 densities (q_dens at N + 1/2)
q_dens *= 0.5
q_dens += 0.5 * q_dens_adv
if disable_waves == False:
# Push B from N to N + 1/2
fields.push_B(B,
E_int,
temp3Db,
DT,
qq,
B_damping_array,
half_flag=1)
# Calculate E at N + 1/2
fields.calculate_E(B, Ji, q_dens, E_half, Ve, Te, Te0, temp3De,
temp3Db, temp1D, E_damping_array)
###################################
### PREDICTOR CORRECTOR SECTION ###
###################################
# Store old values
old_particles[0:3, :] = pos
old_particles[3:6, :] = vel
def main_loop(pos, vel, idx, Ie, W_elec, Ib, W_mag, Ep, Bp, v_prime, S, T,temp_N, \
B, E_int, E_half, q_dens, q_dens_adv, Ji, ni, nu, \
Ve, Te, Te0, temp3De, temp3Db, temp1D, old_particles, old_fields,\
B_damping_array, E_damping_array, qq, DT, max_inc, part_save_iter, field_save_iter):
'''
Main loop separated from __main__ function, since this is the actual computation bit.
Could probably be optimized further, but I wanted to njit() it.
The only reason everything's not njit() is because of the output functions.
Future: Come up with some way to loop until next save point
Thoughts: declare a variable steps_to_go. Output all time variables at return
to resync everything, and calculate steps to next stop.
If no saves, steps_to_go = max_inc
'''
NC = const.NC
# Check timestep
#print('MAIN Checking timestep')
qq, DT, max_inc, part_save_iter, field_save_iter, B_damping_array, E_damping_array \
= check_timestep(pos, vel, B, E_int, q_dens, Ie, W_elec, Ib, W_mag, temp3De, Ep, Bp, \
v_prime, S, T,temp_N, qq, DT, max_inc, part_save_iter, \
field_save_iter, idx, B_damping_array, E_damping_array)
# Move particles, collect moments
#print('MAIN Advancing particles/moments')
particles.advance_particles_and_moments(pos, vel, Ie, W_elec, Ib, W_mag, idx, Ep, Bp, v_prime, S, T,temp_N,\
B, E_int, DT, q_dens_adv, Ji, ni, nu)
# Average N, N + 1 densities (q_dens at N + 1/2)
#print('MAIN Averaging density')
q_dens *= 0.5
q_dens += 0.5 * q_dens_adv
if const.disable_waves == 0:
# Push B from N to N + 1/2
fields.push_B(B, E_int, temp3Db, DT, qq, B_damping_array, half_flag=1)
# Calculate E at N + 1/2
fields.calculate_E(B,
Ji,
q_dens,
E_half,
Ve,
Te,
Te0,
temp3De,
temp3Db,
temp1D,
E_damping_array,
qq,
DT,
half_flag=1)
###################################
### PREDICTOR CORRECTOR SECTION ###
###################################
# Store old values
old_particles[0:3, :] = pos
old_particles[3:6, :] = vel
old_particles[6, :] = Ie
old_particles[7:10, :] = W_elec
old_particles[10, :] = idx
old_fields[:, 0:3] = B
old_fields[:NC, 3:6] = Ji
old_fields[:NC, 6:9] = Ve
old_fields[:NC, 9] = Te
# Predict fields
E_int *= -1.0
E_int += 2.0 * E_half
fields.push_B(B, E_int, temp3Db, DT, qq, B_damping_array, half_flag=0)
# Advance particles to obtain source terms at N + 3/2
particles.advance_particles_and_moments(pos, vel, Ie, W_elec, Ib, W_mag, idx, Ep, Bp, v_prime, S, T,temp_N,\
B, E_int, DT, q_dens, Ji, ni, nu, pc=1)
# Average N + 1, N + 2 densities (q_dens at N + 3/2)
q_dens *= 0.5
q_dens += 0.5 * q_dens_adv
# Compute predicted fields at N + 3/2
fields.push_B(B,
E_int,
temp3Db,
DT,
qq + 1,
B_damping_array,
half_flag=1)
fields.calculate_E(B,
Ji,
q_dens,
E_int,
Ve,
Te,
Te0,
temp3De,
temp3Db,
temp1D,
E_damping_array,
qq + 1,
DT,
half_flag=1)
# Determine corrected fields at N + 1
E_int *= 0.5
E_int += 0.5 * E_half
# Restore old values: [:] allows reference to same memory (instead of creating new, local instance)
pos[:] = old_particles[0:3, :]
vel[:] = old_particles[3:6, :]
Ie[:] = old_particles[6, :]
W_elec[:] = old_particles[7:10, :]
idx[:] = old_particles[10, :]
B[:] = old_fields[:, 0:3]
Ji[:] = old_fields[:NC, 3:6]
Ve[:] = old_fields[:NC, 6:9]
Te[:] = old_fields[:NC, 9]
fields.push_B(B, E_int, temp3Db, DT, qq, B_damping_array,
half_flag=0) # Advance the original B
q_dens[:] = q_dens_adv
return qq, DT, max_inc, part_save_iter, field_save_iter
