Abstract Baseline height estimation in nuclear pulse spectrometry can be optimized by using a proper weight-function. The minimum-noise function for baseline estimation in presence of series and parallel white noises, constrained to a finite duration, is theoretically derived in this paper. Baseline restoration can be subsequently performed by subtracting the minimum-noise baseline estimation to the output signal pulse. The overall signal-to-noise performance obtained using the minimum-noise baseline estimation for pulse height correction is compared to that obtained with routinely used Base Line Restorers. An improvement of up to 16% in the Equivalent Noise Charge, with respect to classic baseline restoration, can be theoretically achieved in case of a simple triangular pulse shaping. The minimum-noise baseline weight-function can be synthesized in practice by means of a digital processing unit.
[1]
R. Evershed,et al.
Mat Res Soc Symp Proc
,
1995
.
[2]
M. Bertolaccini,et al.
A flexible baseline restorer
,
1972
.
[3]
Marco Sampietro,et al.
Optimum filters for detector charge measurements in presence of {1}/{f} noise
,
1990
.
[4]
V. Radeka,et al.
Least-square-error amplitude measurement of pulse signals in presence of noise
,
1967
.
[5]
Marco Sampietro,et al.
Suboptimal filtering of 1/ƒ-noise in detector charge measurements
,
1990
.
[6]
L. B. Robinson,et al.
Reduction of Baseline Shift in Pulse-Amplitude Measurements
,
1961
.
[7]
Veljko Radeka,et al.
EFFECT OF BASELINE RESTORATION ON SIGNAL-TO-NOISE RATIO IN PULSE AMPLITUDE MEASUREMENTS.
,
1967
.