Commit 0d4558e9 authored by juandaanieel's avatar juandaanieel
Browse files

delete unnecessary files

parent c7a171eb
Pipeline #85419 failed with stage
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......@@ -214,7 +214,7 @@ $$
## Summary
The Berry phase can be expressed in terms of an arbitrary time-independent parameter $\mathbf{R}$ as,
The Berry phase can be expressed in terms of an arbitrary time-dependent parameter $\mathbf{R}(t)$ as,
$$
\gamma_n(t) = i \int_{\vec{R}(0)}^{\vec{R}(t)} \langle{ \psi_n | \vec{\nabla_R}\psi_n} \rangle
\cdot d\vec{R}.
......
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%% Cell type:code id:cb56fad1 tags:
``` python
import matplotlib.pyplot as plt
import numpy as np
```
%% Cell type:code id:f86ce09d tags:
``` python
x = np.linspace(0, np.pi, 100)
y = -np.cos(x)
plt.plot(x,y)
```
%%%% Output: execute_result
[<matplotlib.lines.Line2D at 0x7f235889adc0>]
%%%% Output: display_data
![](data:image/png;base64,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)
%% Cell type:code id:a497f818 tags:
``` python
def f_cos(x, resolution=0.1):
np.
n = x/resolution
return cos()
```
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