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'''parmela tool, used to optimize the beamline.
scan the value to get min emittance at different bunch length
Created by W.Liu @ Apr, 2019
'''
import os
import pandas as pd
import numpy as np
parmela='C:/LANL/parmela.exe '
# parmela = 'wine ~/.wine/drive_c/LANL/parmela.exe '
last_element = 41
def getvar(filename):
file = open(filename, 'rU')
lines = file.readlines()
file.close()
mark = []
tempmark = []
step = []
tempstep = []
left_range = []
templeft_range = []
right_range = []
tempright_range = []
pos = []
for line in lines:
line = line.strip()
var = line.split()
ln = len(var)
# when open file with 'rU' doesn't work (ASCII decode doesn't work)
# change 'rU' to 'rb' and use following loop to see which word can't decode
# for i in range(ln):
# print(var[i])
# var[i] = var[i].decode('ASCII')
if var != []:
if (var[0] == '!@var' and var[1] == '1'):
tempmark.append(var[2])
tempstep.append(var[3])
templeft_range.append(var[4])
tempright_range.append(var[5])
if (var[0] == '!@subs'):
if(ln >= 4 and var[3] in tempmark):
mark.append(var[3])
if(ln >= 6 and var[-2] == 'element'):
pos.append(int(var[-1]))
if(ln >= 6 and var[5] in tempmark):
mark.append(var[5])
if(ln >= 8 and var[-2] == 'element'):
pos.append(int(var[-1]))
ln1 = len(mark)
ln2 = len(tempmark)
for i in range(ln1):
for j in range(ln2):
if tempmark[j] == mark[i]:
step.append(tempstep[j])
left_range.append(templeft_range[j])
right_range.append(tempright_range[j])
return mark, step, left_range, right_range, pos
def rewriteFile(filename, mark, value):
file = open(filename, 'rU')
lines = file.readlines()
file.close()
k = 0
for line in lines:
line = line.strip()
subs = line.split()
if subs != []:
if (subs[0] == '!@subs'):
ln = len(subs)
if(ln >= 4 and subs[3] == mark):
for i in range(int(subs[1])):
new_line = lines[k + i + 1]
new_line = new_line.split()
new_line[int(subs[2])] = value
new_line = ' '.join(new_line) + '\n'
lines[k + i + 1] = new_line
if(ln >= 6 and subs[5] == mark):
for i in range(int(subs[1])):
new_line = lines[k + i + 1]
new_line = new_line.split()
new_line[int(subs[4])] = value
new_line = ' '.join(new_line) + '\n'
lines[k + i + 1] = new_line
if(ln >= 4 and subs[3] == ('-' + mark)):
new_line = lines[k + i + 1]
new_line = new_line.split()
value = str(-1 * float(value))
new_line[int(subs[2])] = value
new_line = ' '.join(new_line) + '\n'
lines[k + i + 1] = new_line
if(ln >= 6 and subs[5] == ('-' + mark)):
new_line = lines[k + i + 1]
new_line = new_line.split()
value = str(-1 * float(value))
new_line[int(subs[4])] = value
new_line = ' '.join(new_line) + '\n'
lines[k + i + 1] = new_line
k += 1
file = open(filename, 'w')
file.writelines(lines)
file.close()
def judge_result(filename):
IsOk = 0
goodpos = 0
file = open(filename, 'rU')
lines = file.readlines()
file.close()
element = []
number = []
for i in range(10, last_element + 1):
element.append(str(i))
for i in range(10000, 20001):
number.append(str(i))
for line in lines:
line = line.strip()
words = line.split()
if words != []:
if (words[0] in element and words[1] in number):
if words[1] == '20000':
IsOk = 1
goodpos = words[0]
else:
IsOk = 0
break
return IsOk, goodpos
def get_min_emittance():
with open('EMITTANCE.TBL') as raw:
rawdata = [line.split() for line in raw]
raw.close()
data = pd.DataFrame(rawdata[400:], columns=rawdata[84][1:])
data = data.apply(pd.to_numeric)
emit = data['Xn(mm-mrad)'].values
min_emit = min(emit)
return min_emit
def get_beam_size(filename):
with open(filename) as raw:
rawdata = [line.split() for line in raw]
raw.close()
data = pd.DataFrame(rawdata[400:], columns=rawdata[84][1:])
data = data.apply(pd.to_numeric)
emit = data['Xn(mm-mrad)'].values
pos = emit.tolist().index(min(emit)) + 300
data = pd.DataFrame(rawdata[100:pos], columns=rawdata[84][1:])
data = data.apply(pd.to_numeric)
size = data['Xrms(mm)'].values
return max(size), size[-1]
def main():
inputfilename = 'sp2.acc'
outfilename = 'OUTPAR.TXT'
foldername = 'scan_results'
wfilename = 'resultfile.txt'
mark, step, left_range, right_range, pos = getvar(inputfilename)
emittance = []
if mark == []:
print('No change of the inputfile, please check the parameter')
else:
init_N = 1
N = 50
Ni = (float(right_range[2]) - float(left_range[2])) / float(step[2])
Ni = int(Ni)
for j in range(N - init_N + 1):
value0 = float('{0:.10f}'.format((j + init_N) * float(step[0])))
rewriteFile(inputfilename, '0', str(value0)) # write the bunch length (cm)
value1 = float('{0:.10f}'.format((j + init_N) * float(step[1])))
rewriteFile(inputfilename, '1', str(value1)) # write the bunch length (degree)
bunch_length = 10 * (j + init_N)
print('length cycle:', j + 1,' bunch length (ps):', bunch_length)
min_emit = []
field = []
pre_emit = 100
new_step = float(step[2])
value = float('{0:.8f}'.format(float(left_range[2])))
i = 0
while (abs(new_step) > 0.2) and (value <= float(right_range[2])) :
i += 1
rewriteFile(inputfilename, '3', str(value)) # write the solenoid field
os.system(parmela + inputfilename)
IsOk, goodpos = judge_result(outfilename)
if IsOk == 1:
emit = get_min_emittance()
min_emit.append(emit)
field.append(value)
os.system('mv EMITTANCE.TBL EMITTANCE_' + str(value) + '.T')
print('field cycle:', i,'field strength (Gauss):', value, 'emittance:', emit)
if emit <= pre_emit:
pre_emit = emit
else:
pre_emit = emit
new_step = -0.4 * new_step
else:
# beam not pass the beampipe, change the bunch length
rewriteFile(inputfilename, '0', str(value0 * 1.001))
rewriteFile(inputfilename, '1', str(value1 * 1.001))
print('field cycle', i, 'field strength (Gauss):', value, 'positions:', goodpos)
value = float('{0:.8f}'.format(value - new_step * 0.95))
value = float('{0:.8f}'.format(value + new_step))
if min_emit == []:
continue
min_emit_pos = min_emit.index(min(min_emit))
min_field = field[min_emit_pos]
max_size, size_min = get_beam_size('EMITTANCE_' + str(min_field) + '.T')
emittance.append([bunch_length, min_field, min(min_emit), size_min, max_size])
print('min field', min_field, 'min emittance:', min(min_emit), 'size:', size_min, max_size)
rewriteFile(inputfilename, '3', str(min_field))
os.system('cp ' + inputfilename + ' ' + str(bunch_length) + '_sp.acc')
os.system('mv EMITTANCE_' + str(min_field) + '.T ' + str(bunch_length) + '_EMITTANCE.TBL')
os.system('rm EMITTANCE*.T')
os.system('rm RFFLD*.TBL')
os.system('mv *_EMITTANCE.TBL ' + foldername)
os.system('mv *_sp.acc ' + foldername)
emittance = np.array(emittance)
np.savetxt('emittance.csv', emittance, delimiter=',', fmt = '%1.5f')
os.system('mv emittance.csv ' + foldername)
print('done')
if __name__ == '__main__':
main()