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BergEC-jl
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Bugfix related to c0

This commit is contained in:
Nuwan Yapa 2025-04-30 00:47:22 -05:00
parent 56497d6fbf
commit b30ee6e1fb
1 changed files with 2 additions and 1 deletions
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3
calculations/PMM.py
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@ -10,6 +10,7 @@ df['E'] = df['re_E'] + 1j * df['im_E']
df['k'] = np.sqrt(df['E']) df['k'] = np.sqrt(df['E'])
c0 = df[df['E'] == 0]['c'].values[0] c0 = df[df['E'] == 0]['c'].values[0]
df = df[df['c'] != c0] # remove the threshold point
df['c'] = df['c'] - c0 # shift c to set c=0 at the exceptional point df['c'] = df['c'] - c0 # shift c to set c=0 at the exceptional point
train_data = df[df['re_E'] < 0] train_data = df[df['re_E'] < 0]
@ -41,7 +42,7 @@ enforce_ep()
# generate a set of c values to follow by subdividing the training cs # generate a set of c values to follow by subdividing the training cs
subdivisions = 2 subdivisions = 2
c_steps = np.concatenate([np.linspace(start, stop, subdivisions, endpoint=False) for (start, stop) in zip(train_cs, train_cs[1:])]) c_steps = np.concatenate([np.linspace(start, stop, subdivisions, endpoint=False) for (start, stop) in zip(np.insert(train_cs, 0, 0), train_cs)])
c_steps = np.append(c_steps, train_cs[-1]) c_steps = np.append(c_steps, train_cs[-1])
c_steps = np.delete(c_steps, 0) # remove the first point (c=0) c_steps = np.delete(c_steps, 0) # remove the first point (c=0)