Abstract
Energy filters are used to measure the energy of pulses coming from the radiation detector.
Description
Energy measurement is a critical operation in the field of radiation detection as it allows us to obtain crucial information about the amount of energy transferred to the detector by the particles collected by the sensor. This information is essential for understanding the nature and characteristics of the detected radiation.
To measure the energy of pulses coming from the radiation detector, various components and techniques are employed. In this section, we will explore the key elements used for this purpose: peak holder, charge integrator, and trapezoidal filter.
The peak holder is a component that enables the acquisition and retention of the maximum voltage value reached by the signal pulse. This value represents the energy associated with the radiation pulse, provided that the input signal to the detector has already been shaped by an integrating shaper. The peak holder is capable of holding the pulse peak for a certain period, allowing for accurate energy measurement.
The charge integrator is an element that integrates the pulse signal over time, providing a measurement of the total charge transferred to the radiation detector. The charge is proportional to the energy of the detected signal. The charge integrator accumulates the signal over time, allowing for an estimation of the energy associated with the pulse.
The trapezoidal filter takes the signal output from the charge preamplifier and shapes it to maximize the signal-to-noise ratio. The flat top of the trapezoid represents the integrated charge and can be sampled to provide an accurate energy measurement.
In conclusion, to measure the energy of pulses from the radiation detector, several components and techniques are utilized, including the peak holder, charge integrator, and trapezoidal filter. Each of these elements offers a unique approach to obtain an accurate estimation of the energy associated with the pulse. The choice of component depends on the specific requirements of the application and the characteristics of the signal being analyzed.