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spectrometric chain

Introduction

The aim of this laboratory is to understand how the spectrometric chain works. First, you will observe the operation of readout electronics blocks like preamplifier and shaper. The next step you will measure the basic parameters like gain or noise of such readout chain. At the we will try to observe pulses from Am61 radio active source.

Circuit description

Building blocks

Schematic diagram of the spectrometric chain is shown below in ## .

Array

The most often used front-end electronics configuration consists of a charge sensitive preamplifier and a Graph the filter known as pseudo-gaussian shaper. The Graph filter is called pseudo-gaussian because the response of such filter to step function becomes exactly gaussian when its order n approaches infinity. The pseudo-gaussian shaper is frequently used because of its simplicity and because it allows to obtain close to optimum S/N ratio [ref-gatti,radeka].

Neglecting initially Graph the preamplifier output voltage can be written as:

Graph

where Graph is a Laplace transform of a sensor pulse and assuming that Graph is high enough (reasonable assumption since the gain of operational amplifiers is of the order Graph).

The shaper output signal can be then written as:

Graph

where Graph is the shaper transfer function and again assuming high enough gain of the operational amplifiers Graph. Writing equations for the first shaper stage:

Graph

and for the following shaper stages:

Graph

and setting equal the differentiating and the integrating time constant Graph Graph one obtains the shaper transfer function:

Graph

The transfer function of the whole circuit may be written as: Graph

Usually, a very good assumption for sensor pulse shape is a dirac delta, i.e. Graph with its integral equal to a total charge Graph deposited in the sensor. This assumption reflects the fact that the charge collection time in the sensor is much shorter than the front-end electronics shaping time. Under this assumption the front-end response in time domain equals:

Graph

which has the maximum amplitude at time Graph which is equal to:

Graph

To move from the theoretical considerations to a practical circuit the only thing needed is to add a resistance Graph in parallel to Graph. It is needed for two purposes: first to set the DC level of the preamplifier input and second, to assure that the feedback capacitance Graph gets discharged and so the preamplifier output will not saturate after a number of subsequent pulses from the sensor. The derived above transfer function becomes practically unaffected if the Graph value is sufficiently large (Graph in this laboratory circuit).

Sensor, Preamplifier and Shaper - Noise Analysis

There are two main sources of noise which deteriorate signal to noise ratio in the proposed spectrometric system: the sensor noise and the front-end electronics noise. The sensor noise comes mainly from a shot noise caused by the sensor leakage current fluctuations Graph and its spectral power density is equal to:

Graph

The front-end electronics noise is mainly due to the preamplifier and the feedback resistance Graph. In a properly designed system the following shaper stages give small contribution to the total noise (since the signal is already amplified by the preamplifier).

Array

The overall effect of preamplifier noise is described in terms of an equivalent input noise expressed by series (voltage) and parallel (current) noise sources with spectral densities respectively Graph and Graph.

The feedback resistance Graph is characterized by its thermal noise with spectral density:

Graph

The noise diagram of the front-end electronics with the equivalent input noise sources is shown in figGraph.

Knowing that for the circuit with transfer function Graph the input noise spectral power density Graph is transformed to the output as:

Graph

where Graph, one can derive the preamplifier output spectral power density. This is easily done using the superposition principle. Since in practical systems Graph is large and the Graph time constant is much larger than the signal duration the contribution from Graph may be calculated neglecting the Graph. To calculate the contribution from Graph one assumes that Graph in the signal bandwith. With such approximations the preamplifier output noise density equals:

Graph

and subsequently the shaper(Graph) output noise density equals:

Graph

In order to obtain the voltage noise Graph at the output the spectral noise density needs to be integrated in the frequecny domain:

Graph

For this integration the explicite dependence of Graph on frequency is needed. The main contribution are white (constant) voltage and current noise sources Graph. In JFET or CMOS technology also the flicker noise voltage component should be taken into account so one can assume the equivalent spectral noise densities as: Graph and Graph. For the proposed pseudo-gaussian shaping (fig.~\ref{fig:sch_front}) the above integral can be calculated analytically as:

Graph

where Graph is the Gamma function.

Sensor, Preamplifier and Shaper - Signal to Noise

Knowing the signal amplitude Graph (eq. Graph) and the noise Graph value (eq. Graph) the Graph ratio may be easily obtained. This is rarely done. Instead the noise performance is usually expressed in a slightly different way i.e. by means of an equivalent input noise charge (ENC), in the number of electrons. The ENC is calculated dividing Graph by the amplitude Graph obtained for single electron input charge Graph and gives in result:

Graph

It is seen that in order to minimize the noise one should minimize the sensor leakage curent and use the highest possible Graph value. It is also seen that the voltage white noise decreases with shaping time on the contrary to the current white noise which increases with Graph. For a given filter order one can minimize the ENC finding an optimum shaping time:

Graph

For practical applications it is often more convinient to study the noise performance as the function of Graph instead of Graph. In this case the formula Graph will be espressed as:

Graph

Now, instead of optimizing the shaping time Graph the optimization of the peaking time Graph can be done in order to equalize the contribution of voltage and current noise. As before the voltage component decreases with increasing Graph while the current component increases with increasing Graph. The noise dependence on shaping order is more complicated and in general it is better seen with numerical simulations. Qualitatively one can only say that the ratio of voltage to current noise contribution increases with increasing shaping order. To get feeling about the real noise performance it is instructive to plot the ENC as a function of peaking time, for different shaping orders (Fig XX).

As expected the optimum peaking time exists. Regarding the shaping order it is seen that in general the higher order the better noise performance.

Assuming that the further signal processing stages add negligible contribution to the overall system noise one can estimate the expected resolution of the spectrometric system in terms of the number of electrons, on the basis of eq. Graph.

Practical realization

Schematic diagram of the implemented spectrometric chain is shown below on figure## .

Array

One can see few differences between figures XX and ZZ.

At the input of the preamplifier charge adapter is added. Such a circuit allows injecting quasi dirac current pulses. Amount of charge is given by the amplitude of voltage step pulses. Rt resistor is added for line termination. Looking at the resistors R1 and R2 at voltage divider one can write the value of injected charge as: Graph.

All capacitances in the shaper are changeable in a wide range(mode than two orders of magnitude). Such a construction will allow to study the impact of the shaping time value on output signal shape and noise performance of the whole chain. Such a changeable capacitance are build from tens of binary weight capacitances cross-connected by switches. All switches are controlled by microcontroller. On front panel you may read the shaping time value (Graph) given in microseconds. To change it you should use the rotary switch (selector).

The outputs of subsequent stages are routed via switches to one output connector. Those switches are controlled by the same digital circuit. The active output is displayed in the box OUTPUT. By clicking rotary knob you can select the active variable: shaping time or output.

The laboratory module contains also few integrated voltage regulators to generate all needed voltages for both analog and digital blocks.

Laboratory Setup

During this laboratory we use the following equipment:

  • front-end electronics circuit
  • digital sampling oscilloscope (TEKTRONIX TDS3034)
  • pulse generator (AGILENT 3320)
  • true RMS meter (HP3400)
  • power Supply (AGILENT 3631A)
  • cables
  • PC with dedicated software

The connection of the setup is shown in the figure X.

Ask the leading person to check all connections and do following steps:

  • set supply voltages to +/- 7V
  • set channel's one digital scope input impedance to 50 Ohm
  • set rectangular wave on pulse generator
  • switch on pulse generator output
  • set triger to proper channel

Measurements

Observing the preamplifier output

Select 0 as an active output. Try to find output pulse on oscilloscope. Set time base of oscilloscope to 400ns. Does signal look like voltage step? Try to estimate charge gain given by Graph (having in mind formula “charge adapter”) and compare it with value given by formula X ref wzmocnienie pream X.

Try to look mode deeply on the pulse head (change time base to 40ns). How would you explain the non zero rising time? Then look at the pulse tail. Try to estimate time constant of this pulse and compare it to “y”.

Linearity check of pre amplifier

Perform measurements of pulse amplitude at the preamplifier output for the set of input test pulse amplitudes. The obtained results write to file linearity.dat in following format:

#vin[mv] vout[v]
500      XXX.Y
1000     XXX.Y
1500     XXX.Y
2000     XXX.Y
...

Then run script linearity.gnu and see results written in the file linearity.png.

Observing shaper output

Look at the first shaper stage output. Check whether the displayed time is equal to the peaking time (time after which pulse reaches its maximum). Look at the pulses at the outputs of subsequent stages. Find their peaking times and see how they are related to the shaping time constant. Try to set the same peaking times for different shaping orders and compare the pulse shapes.

Noise performance

Measuring noise performance is two phase process. At the begining one has to measure the output amplitude Graph being response to input current pulse carrying charge Graph (use cursors on oscilloscope for this measurement). In the second phase the voltage noise root mean square Graph at the output is measured by the HP3400 true RMS meter. During this measurement input pulse should be disabled. It is important to keep circuit settings (shaping time, observed output) the same for both measurements.

The equivalent noise charge (ENC) is given by: Graph

Repeat this measurements for several combinations of shaping time and shaping order. Write down your results to the file noise.dat in following format:

#order time_const[us] v_out[mv] v_rms[mv]
1      0.25           XXX       Y.YY
1      0.50           XXX       Y.YY 
1      0.70           XXX       Y.YY
1      1.00           XXX       Y.YY
...

2      0.25           XXX       Y.YY
2      0.50           XXX       Y.YY 
2      0.75           XXX       Y.YY
2      1.00           XXX       Y.YY
...

3      0.25           XXX       Y.YY
3      0.50           XXX       Y.YY 
3      0.75           XXX       Y.YY
3      1.00           XXX       Y.YY
...

To analyse the measured data use script noise.gnu. See the results in the file noise.png. Are you able to show the optimum shaping time for each filter order ? Does it pay off to use higher shaper orders for noise reduction ?

Observing pulses from source

Uda sie zorganizowac zrodlo ?

Discussions topics

  • What is main uncertainty source during gain measurement in such setup?
  • During this laboratory we were investigating electronic noises. You have to remember that in real experiments You also have to fight with disturbances. Can You give an example of disturbances in real experiment?

References

E. Gatti i P.F. Manfredi, Processing the Signals from Solid-State Detectors in Elementary-Particle Physics, Revista Del Nuovo Cimento (1986).

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