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https://github.com/foldfelis/spinat
Spintronics Analysis Toolbox for Low Dimensional Physics and Nano-Magnetism Lab, NCUE
https://github.com/foldfelis/spinat
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Spintronics Analysis Toolbox for Low Dimensional Physics and Nano-Magnetism Lab, NCUE
- Host: GitHub
- URL: https://github.com/foldfelis/spinat
- Owner: foldfelis
- License: mit
- Created: 2020-01-26T17:18:22.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-02-14T07:45:37.000Z (almost 5 years ago)
- Last Synced: 2024-11-11T08:51:45.652Z (2 months ago)
- Language: Python
- Size: 354 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# spinat
Spintronics Analysis Toolbox for Low Dimensional Physics and Nano-Magnetism Lab, NCUE
## Examples
### MOKE Growth Data analysis
#### For 1 measure mode (either in-plane or out-of-plane)
1. Set parameters:
```python
file_path = "./DemoData/MOKE_Growth/14NiCu.bin"
iop = "o" # take out-of-plane for example
```
2. Initial process tool:
```python
from spinat import moke_growth
mgp = moke_growth.MokeGrowthProcess(multi_mode=False, iop=iop)
```
3. Get data frame:
```python
df = mgp.preprocess(file_path)
```
4. Plot data:
```python
p = mgp.plot(df, "MR", iop, "14 ML Ni/Cu(001) MR")
final_p = mgp.plot(df, "MS", iop, "14 ML Ni/Cu(001) MS", p=p)
final_p.show()
```
5. Result:
#### For 2 measure mode (both in-plane and out-of-plane)
1. Set parameters:
```python
file_path = "./DemoData/MOKE_Growth/4FeCu.bin"
```
2. Initial process tool:
```python
from spinat import moke_growth
mgp = moke_growth.MokeGrowthProcess() # argument is set to 2-mode by default
```
3. Get data frame:
```python
df = mgp.preprocess(file_path)
```
4. Plot data:
```python
p = mgp.plot(df, "MR", "i", "4 ML Fe/Cu(001) in-plane MR")
p = mgp.plot(df, "MS", "i", "4 ML Fe/Cu(001) in-plane MS", p=p)
p = mgp.plot(df, "MR", "o", "4 ML Fe/Cu(001) out-of-plane MR", p=p)
final_p = mgp.plot(df, "MS", "o", "4 ML Fe/Cu(001) out-of-plane MS", p=p)
final_p.show()
```
5. Result:
### MOKE Data analysis
1. Import necessary packages:
```python
from os.path import join as join_path
from os import listdir
from spinat import moke
```
2. Set parameters:
```python
data_path = "./DemoData/MOKE"
```
3. Initial process tool:
```python
mp = moke.MokeProcess()
```
4. Plot all data in path
```python
files = listdir(data_path)
files.sort()
p = None
for file in files:
df = mp.preprocess(join_path(data_path, file))
p = mp.plot(df, label=file, p=p)
p.show()
```
5. Result:
### AES Data analysis
**The following example is based on the experiment of Deposit Cu on 14 ML Ni/Cu(001)**
1. Import necessary packages:
```python
from os.path import join as join_path
from os import listdir
from spinat import aes
```
2. Initial process tool and set parameters:
```python
data_path = "./DemoData/AES"
ap = aes.AesProcess()
ap.low_thickness_sensitive = True
ap.based_energy = 717
ap.based_tol = 16
ap.element_energy = 920
ap.element_tol = 6
```
3. Plot and determine edge ratio fot all data in path
```python
files = listdir(data_path)
files.sort()
p = None
for file in files:
df = ap.preprocess(join_path(data_path, file))
data = ap.analyze(df)
p = ap.plot(df, label="{}, ratio={}".format(file, data["ratio"]), p=p)
p = ap.plot_edge(edge=data["based_edge"], p=p, label="{}".format(ap.based_energy))
p = ap.plot_edge(edge=data["element_edge"], p=p, label="{}".format(ap.element_energy))
p.show()
```
5. Result:
