Last push before changing to new strax version. This version can still be used with the old nVETO DAQreader.

Author: Wenz

strax/dtypes.py

@@ -10,7 +10,7 @@
            'DIGITAL_SUM_WAVEFORM_CHANNEL DEFAULT_RECORD_LENGTH').split()
 
 DIGITAL_SUM_WAVEFORM_CHANNEL = -1
-DEFAULT_RECORD_LENGTH = 600
+DEFAULT_RECORD_LENGTH = 110
 
 
 # Base dtype for interval-like objects (pulse, peak, hit)

strax/processing/pulse_processing.py

@@ -15,7 +15,7 @@
 
 @export
 @numba.jit(nopython=True, nogil=True, cache=True)
-def baseline(records, baseline_samples=40):
+def baseline(records, baseline_samples=20):
     """Subtract pulses from int(baseline), store baseline in baseline field
     :param baseline_samples: number of samples at start of pulse to average
     Assumes records are sorted in time (or at least by channel, then time)
@@ -51,7 +51,7 @@ def baseline(records, baseline_samples=40):
 
 @export
 @numba.njit(cache=True, nogil=True)
-def baseline_rms(records, nsampels=40):
+def baseline_rms(records, nsampels=20):
     """
     Function which estimates the baseline rms within a certain number of samples.
 
@@ -86,7 +86,7 @@ def baseline_rms(records, nsampels=40):
 
 
 @numba.njit(cache=True, nogil=True)
-def _baseline_rms(d, b, n_samples=40):
+def _baseline_rms(d, b, n_samples=20):
     """
     Function which estimates the baseline rms within a certain number of samples.