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>>> import numpy as np
>>> data = np.load("2M_32k_counter_temp_data_20191020_190447.npz")
>>> data.files
['counts_2M', 'counts_32k', 'temperature']
>>> data['temperature']
array([28.13, 28.13, 28.19, ..., 26.19, 26.19, 26.19])
>>> counts_32k, counts_2M, temperature = data['counts_32k'], data['counts_2M'], data['temperature'] |
2M and 32k counters vs. time
count_32k, count_2M over 45 minutes (~24000 values)
Sweep parameters:
Board: Q4
Divider was on
Measured the counters against optical SFD interrupts with a period of 100ms
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To use this data in Python:
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>>> import numpy as np
>>> data = np.load("2M_32k_counter_data_20191113_211305.npz")
>>> data.files
['counts_2M', 'counts_32k']
>>> len(data['counts_2M'])
24433
>>> counts_32k, counts_2M = data['counts_32k'], data['counts_2M'] |