mirror of
https://github.com/paulscherrerinstitute/sf_daq_buffer.git
synced 2026-04-23 08:02:43 +02:00
lhdamiani
26 lines
641 B
Python
26 lines
641 B
Python
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
plt.ion()
|
|
|
|
|
|
# These are more or less standard dacs, if you see strange effects
|
|
# you might need to tune them
|
|
dacs = np.array([ 0, 2480, 2900, 1400, 4000, 2556, 898, 848, 0, 855, 1100,
|
|
1100, 982, 895, 2000, 1550, 570, 0], dtype=np.int32)
|
|
|
|
tb = np.zeros((256,1024), dtype = np.int32)
|
|
|
|
# Create the desired pattern
|
|
for row in range(0,256,64):
|
|
for col in range(0,1024,64):
|
|
print(f'{row}, {col}')
|
|
tb[row:row+32, col:col+32] = 63
|
|
|
|
|
|
fig, ax = plt.subplots()
|
|
im = ax.imshow(tb)
|
|
|
|
|
|
with open('trimbits.sn000', 'wb') as f:
|
|
dacs.tofile(f)
|
|
tb.tofile(f) |