Experimental (Exp)

In the class Exp all parameters that describe the experimental conditions are set as attributes. This can be done in the script by typing:

Sys.Attribute = Value

If the class is initialized by:

import teacups.classes as cl
Exp = cl.Exp()

the following attributes are preallocated (but can/should be newly assigned by the user):

B_z: linspace(320, 380, 600)
t_scale: [0, 2e-6]
t_points: 60
B_mw = 0.001
freq_mw: 9.75e9

In the following all possible attributes are named. For each attribute an explanation, cases where it is needed and an example are given. You can get a quick reference file with all attributes here.

Magnetic fields

Exp.B_z

Static magnetic field vector along the z-axis
- Give all points of the B-axis for which the spectrum shall be calculated
- Create a numpy.ndarray
- Values in mT
Obligatory for all simulations

e.g.:

import numpy as np

# field ranges from 340mT -> 350mT and has 200 points
Exp.B_z = np.linspace(340, 350, 200)

Exp.B_mw

Amplitude of the microwave field (along the x-axis)
- Float
- Given in mT
Obligatory for all simulations
e.g.:
```
Exp.B_mw = 0.001  # mT
```

Exp.freq_mw

Frequency of the microwave field (along the x-axis)
- Float
- Given in Hz
Obligatory for all simulations

e.g.:

# X-band spectrum
Exp.freq_mw = 9.75e9  # Hz

Time

Exp.t_scale

Borders of the time range
- Give upper and lower border in a list
- Given in s
- Normally this should start at 0s and ends at your desired time
Obligatory for all simulations
e.g.:
```
Exp.t_scale = [0, 2e-6]  # s
```

Hint

In order to see relaxation effects choose the time scale \(\sim 2 T_\mathrm{relax}\)

Exp.t_points

Number of time points, that shall be calculated
- Integer
Obligatory for all simulations
e.g.:
```
Exp.t_points = 100
```