Characterizing SiPMs

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SiPM Performance Requirements

SSPM-050701GR-TO18 [1] from Photonique SA, with 1 mm2 active area with 556 pixels
SSPM-0606BG4-PCB [2] from Photonique SA, with 4.4 mm2 active area with 1700 pixels

A novel method of low light readout is evaluated here. Traditionally, signals of tens to hundreds of photons are read out by photomultiplier tubes (PMTs), which provide gain of via a cascade of electrons multiplied on collision at each of the device's sequential dynodes. The small cross-section scintillating fibers in the high rate tagger microscope that will operate in Hall-D of Jefferson Lab call for a new and more compact readout. Silicon Photomultipliers (SiPMs) are discussed on the merits of their gain, detection efficiency, speed and noise level.

The tagger microscope consists of many identical and well isolated readout channels, each consisting of a several cm long scintillating fiber connected to a clear acrylic fiber light guide. A tagging electron travels axially down the length of a scintillating fiber depositing an average of 4 MeV of energy in the fiber, resulting in ~1600 scintillation photons within the forward capture cone of the fiber. Assuming that 80% of these are delivered to the SiPM active surface and a conservative estimate of 15% for the efficiency of the SiPM leads to an estimate of 190 for the average SiPM pixel count per event. Monte Carlo simulations have shown that an efficient detection threshold corresponds to 40% of the average pulse height, or 80 SiPM pixels. This implies a requirement for the dark rate that spontaneous pulses never exceed 80 pixels.

The large photon yield expected at the end of the light guide does not demand unusual detection efficiency on the part of the SiPM. For example, 10% efficiency with the above number of photons still yields a signal of 130 photons. However, given that the scintillator (BCF-20) has a finite decay time (2.7ns) the more photons are produced the more clearly resolved is the leading-edge time of the pulse.

The device is expected to have a high enough gain (measured in electrons per photon detected) - around 106 in order for such a small light signal to be recorded by conventional electronics. SiPM devices are also susceptible to spurious, thermally excited pixel breakdowns, each showing up as a single photon hit ("dark count"). Very high rates of these single-pixel events may create pileup above the signal threshold. All of the above parameters (detection efficiency, gain and dark rate) depend on applied bias voltage and temperature. Stability of performance within the expected fluctuations of these environmental variables is an important requirement.

Another criterion in SiPM selection is its dynamic range. Although the tagger essentially provides digital information - scintillation detected or not in each energy channel within each beam bucket - sufficient range is necessary to set a threshold above the noise floor and to allow for some degree of gain variation at high rates arising from the finite pixel recovery time.

Bench Test Setup

Hardware

A fast light source operating in an environment with little background is necessary for the tests described here. The challenge is in preventing light leaks in this chamber despite the need for access ports, patching wires through walls and installing sensor and temperature control modules that must interface with the outside.

It is also preferred that the light source is fast and close in wavelength to the light from scintillating fibers, which are in the blue-green.


Dark Box Construction

Running this setup with a hybrid photodiode (HPD) module DEP PP0350 of known characteristics allows us to calibrate the light intensity. The SiPM detection efficiency can then be characterized relative to the HPD. The signal from the SiPM was clean enough to distinguish peaks corresponding to discrete photon (pixel) counts in the histogram signal integrals. Therefore, the gain of the SiPM was found independently of the HPD - the SiPMs were self-calibrating! The measurements section below describes this feature further.

Below are the diagrams of the dark box with the HPD and SiPM assemblies installed. A temperature controller system (TE Tech. TC-24-12) was procured, which operates by driving a Peltier junction based on feedback from a thermistor compared to voltage-specified reference temperature. It was calibrated and installed into the wall of the dark box via a custom-designed light-tight frame.

DarkboxDiagram HPD.png
Diagram of the dark box with the HPD module installed. VHV = -12 kV, Vb = 60 V. ±5 V provide the supply rails for the amplifier built into the HPD module.
 
DarkboxDiagram SiPM.png
Diagram of the dark box with a SiPM mounted on a temperature-controlled cold plate. Vb is the bias voltage discussed below, Vs is the preamplifier supply voltage set to 5 V in our work (recommended levels: 4 - 9 V)]] Note that the preamplifier electronics are mounted right on the cold plate extensions to minimize the length of the wires between the the SiPM and preamp input. Other arrangements caused significantly more pickup.


Light Pulser

A pulser circuit designed to drive the LED for photo-detector bench tests. The circuit differentiates the input signal, thus the amplitude of the input square wave controls pulse amplitude up to the saturation point, at which the pulse shape broadens to a maximum of 6 ns. Vs = 5 V

A pulser circuit was designed with a pulse height controlled by the amplitude of a step function from a function generator. The pulser differentiates the step function signal and therefore can create pulses as narrow as the rising edge of the step function. Above a saturation point, the pulse broadens to a maximum of 6 ns. The adjacent figure shows the pulser circuit that drives the LED. The LED has some finite rise time and sometimes a very long decay tail. This response function convolves the pulser signal so the speed of the combined system has to be analyzed for each LED type and evaluated for the use of photon detector characterization.

Choice of Light Source

The original LED available to the group was the blue QT Optoelectronics MV5B60. Analyzing the pulses from the HPD illuminated with this device showed an initial spike in its light output followed by a tail with a very long decay constant. Several more devices with longer wavelengths were procured and measured. We settled on a yellow LED (Fairchild MV8304) for subsequent measurements because it had no long tail in its light pulses. The SiPMs were characterized with respect to one another and the HPD using this LED. Its mean wavelength is about 590nm, near the peak of the SiPM photon detection efficiency curve.

By the time more detailed studies of the SSPM-06 were initiated, a fast LED very close the the mean emission wavelength of the BCF-20 was found. This was the Agilent (Avago Technologies) HLMP-CE30-QTC00. Its pulse shows a small tail in the light output that lasts for about 100ns, but this is fast enough to be contained in the 100ns integration gate used for these tests.

Data Acquisition

A Tektronix TDS 2024 (2Gsamp/s, 200MHz) was used to acquire the SiPM signal from its preamplifier. The response of the SiPM preamplier is well understood based on detailed analysis and simulation. Since tens of thousands of waveforms are necessary to construct a clean histogram of collected charge, a fast PC based data collection system was necessary. The data export module installed on this oscilloscope allows RS-232 interface over which commands can be issued and data transfer requested. Unfortunately going above the baud rate of 9600 always resulted in lost bytes. At 9600 the 2500-sample waveform collected by the oscilloscope takes about 2-3 seconds to transfer over the serial link to the host PC. Since we are dealing with time windows of 1μs in which the unit is too slow to collect all 2500 samples (it was found to copy or interpolate between actual samples) it was decided to just collect the first 1000 samples, corresponding to the first 4 divisions on the screen. Under these conditions, the waveforms were collected at a rate of one per second.

For the purposes of collecting integrals of waveforms (proportional to total charge collected per received flash) it was later found that the averages of the functions could be automatically computed by the oscilloscope and then the results transferred much faster than the entire waveform, about 3 per second. This value times the window duration equals the desired integral!

Aside from the convenience of being able to collect usable results within hours instead of a day, this speedup also minimized the problem of systematic drifts that occur during long runs. It was found that the higher statistics obtained during extended runs would sometimes be offset by the blurring of peaks due to slow drifts in the gain and pedestal. Whether due to environmental variations over the course of a day or electronic effects, these drifts smeared the histograms, most of which already had a very faint sign of resolved photon peaks. So, faster data acquisition also meant reducing the effects of these drifts.

SiPM Measurements

Analysis Approach

Illustration of discrete peaks seen in the collected SiPM charge frequency histogram. The first peak shows the number of events in which no photons were detected, the next shows one and so forth. Note the even spacing of the peaks, showing the linearity of the device.

The first remarkable feature of the the SiPM statistics is the presence of discrete peaks in the histogram of charge collected in the SiPM. The SiPM pulse charge is computed as the SiPM signal integral (Vs) divided by the Gaintrans-impedance (V/A) of the preamplifier. This allows us to determine the charge collected per activated pixel (per detected photon) and therefore gives the gain of the device. This is the "self-calibration" referred to above.

The general analysis procedure was to

  1. histogram the collected set of function integrals;
  2. get the pedestal: the first peak corresponds to events with no photon hits, so it defines zero charge collected;
  3. calculate the gain and rescale the histogram to units of detected photons

Since each peak in the histogram shown in the figure at the right is expressed in units of photon count, the mean is the average number of detected photons per pulse. After subtracting away the contribution from the dark counts (described below), the efficiency of the SiPM can be calculated by comparing this average yield to that found by the HPD.

This procedure was repeated with the LED and/or SiPM covered to measure the dark rate. Depending on which distribution showed the photon peaks more distinctly, either the illuminated or dark datasets were used for the gain calculation and pedestal calculation. Either way, a mean was extracted from the dark distribution to calculate the dark rate and to subtract the average dark pixel count measured from the average pixel count measured while illuminated.

Efficiency calculated in the manner described is compared to the expected efficiency. Integrating the HPD response function in frequency space weighted by the LED emission spectrum yields the mean detection efficiency of the HPD for that light source. The same exercise was carried out using the photon detection efficiency function supplied by the SiPM manufacturer, and compared with the measured efficiency as a check that we had obtained the expected SiPM performance.

Summary of Basic Characteristics and Comparison of SiPMs

Below is the summary of results obtained from these measurements performed on the two SiPMs acquired from Photonique.

Summary of SiPM Properties measured at room temperature at recommended bias voltages
Device Gain PDE (yellow) Dark Rate
Nom. Meas. Nom. Meas. Nom. Meas.
SSPM-050701GR-TO18 [3] 0.8×106 1.1×106 29% 30±2% 10 MHz 9.8 MHz
SSPM-0606BG4-PCB [4] 1.5×105 2.5×105 27% 22±2% 15 MHz 8.9 MHz



Detailed Characterization

Since the SiPM performance is sensitive to the bias voltage applied and the ambient temperature, a measurement of SiPM properties as functions of bias voltage (Vb) and temperature (T) was performed on the SSPM-06. By this point, the SSPM-06 was judged to be a better sensor for the tagger microscope, owing to higher sensitivity in the blue-green range and better active area match to the fiber cross-section. Aside from gains in efficiency and dynamic range of the resulting readout, higher photon detection implies better time resolution because of the scintillation decay time of 2.7ns in the fiber.

The range of interest for these operating variables were:

  • Vb: from 0.5V below to 0.5V above the operating range, yielding a ranger of interest: 19V-21V
  • T: 0-above room temp., in practice 3°C (to avoid growing snow) to 35°C

However, it was found that the peaks were very indistinct at bias voltages below 20V and temperatures above 20°C. This was probably due to the narrowing of the peaks due to smaller gain or convolution of the additional dark counts detected.

Histogram Fitting Method

The solution to this was to abandon the manual location of pedestals, peak spacing etc. Instead, a model was created by Prof. Richard Jones based on which fitting of the histograms was performed. It has the form:

where,

where is a gain factor equaling the distance between peaks in Vs. is therefore a unit normalized to pixel counts and zeroed accordingly.
is the real integral value (in Vs) and is the pedestal offset (location of first peak).
is the pixel count and Poisson average pixel count
are multi-Poisson factors that take into account Poisson distributions of secondary pixel counts per each real hit from the set of p hits.
are random noise parameters.


are the fit parameters. Note the absence of a vertical scale parameter. The vertical scale depends on the number of samples collected, whereas the equation in this model is normalized. Rescaling works as follows:

If , where is a vertical scaling parameter and since ,

implies that Tg is the number of events collected times the bin width (in Vs).

Now, with this powerful instrument at hand used with a fitter in Paw, the histograms collected as function of T and Vb were analyzed. It turned out that even histograms with nearly indistinguishable peaks yielded a best fit to this model and suggested the appropriate gain and other parameters.

Results

Below is the analyzed data on dark rate, gain and photon detection efficiency (PDE) as function of T and Vb. An attempt was also made at mapping the rate of secondaries (multi-Poisson parameter) as a function of these variables but the small trends perceived in the data were within the parameter's error bars.

SSPM06 DarkRateVsVb.png SSPM06 DarkRateVsT.png
Dark rate plotted as a function of bias voltage at extreme and room temperatures and as a function of temperature at different bias voltages. Note the disappearance of temperature dependence at low bias voltage.


SSPM06 GainVsVb.png SSPM06 GainVsT.png
SiPM gain plotted as a function of bias voltage at extreme and room temperatures and as a function of temperature at different bias voltages.


SSPM06 PDEVsVb.png SSPM06 PDEVsT.png
Photon detection efficiency as a function of bias voltage at extreme and room temperatures and as a function of temperature at different bias voltages.

Links

References

  1. I. Senderovich and R.T. Jones, "Suitability of Silicon Photomultiplier Devices for Readout of a Scintillating Fiber Tagger Hodoscope", GlueX-doc-760 (2007) [9]
  2. Z. Sadygov (Dubna), Three advanced designs of avalanche micro-pixel photodiodes: their history of development, present status, maximum possibilities and limitations. [10]
  3. P.Pakhlov (ITEP), SiPM: Development and Applications [11]



Written and last edited by Igor Senderovich 18:30, 13 August 2007 (EDT)