for line in param:
if line=="" or line=="\n":
new_param.write("\n")
else:
if line[0]=='U':
new_param.write("U={}\n".format(pair[0]))
elif line[:5]=='Gamma':
new_param.write('Gamma={}\n'.format(pair[1]))
else:
new_param.write(line)
param.close()
new_param.close()
subprocess.call([ 'mv' , 'new_param' , 'param' ])
subprocess.call( './1d_run_th_fl' )
N = pf.get_N( 'e-q0s2_table1.dat' )
nrg_eigenvalues = pf.read_h0_eigenvalues_lowest()
U_array = np.empty( int(N/2) )
GAMMA_array = np.empty( int(N/2) )
nrg_eigenvalue_step = np.empty( 6 )
for n in range(0,int(N/2)):
nrg_eigenvalues_step = nrg_eigenvalues[n,:]
res = opt.least_squares( F , [0.3,0.7] )
U_array[n] = res.x[0]
GAMMA_array[n] = res.x[1]
col = colours[colour]
import matplotlib.colors as mcolors
arguments = []
for arg in sys.argv[1:]:
arguments.append(arg)
OUTNAME = 0
if len(arguments) > 0:
OUTNAME = arguments[0]
plt.style.use('seaborn-paper')
fig, ax = plt.subplots()
plt.grid(b=True, which='major', color='black', linewidth='0.4', alpha=0.3)
nrg = pf.read_h0_eigenvalues_lowest()
N = np.arange(0, pf.get_N('e-q0s2_table1.dat'), 2)
ax.plot(N, nrg[:-1, 0], label='Q=0, S=1/2')
ax.plot(N, nrg[:-1, 1], label='Q=0, S=3/2')
ax.plot(N, nrg[:-1, 2], label='Q=1, S=0')
ax.plot(N, nrg[:-1, 3], label='Q=1, S=1')
ax.plot(N, nrg[:-1, 4], label='Q=2, S=1/2')
ax.plot(N, nrg[:-1, 5], label='Q=3, S=0')
ax.set_ylim([-0.1, 6.5])
ax.set_yticks(np.arange(0, 7, 1))
ax.legend(loc='upper left',
frameon=True,
framealpha=0.7,
facecolor='white',
edgecolor='white')
if len(arguments) < 3:
print(
'Incorrect arguments. O/E, Q and S are mandatory, #EIGENVALUES is optional. Exiting.'
)
sys.exit()
O_E = arguments[0]
Q = arguments[1]
S = arguments[2]
filename = '{}-q{}s{}.dat'.format(O_E, Q, S)
subprocess.call(['./99_f_extract_1sub', O_E, Q, S])
subprocess.call(['./99_f_fix_1sub_file.py', filename])
n_steps = pf.get_N(filename)
f = open(filename, 'r')
if np.size(arguments) > 3: n_eigenvalues = int(arguments[3])
else: n_eigenvalues = 6
steps = np.arange(pf.get_n(filename), pf.get_N(filename), 2)
eigenvalues = np.empty((len(steps), n_eigenvalues))
plt.style.use('seaborn-paper')
fig, ax = plt.subplots()
twin = ax.twinx()
pf.plotfile(f, steps, eigenvalues, ax, colour='black')
f.close()
