------Question for MICRORB-SMA-10020-GEVB Please Put your question below------
The product MICRORB-SMA-10020-GEVB seems almost too good to be true. From the description, it appears that the SiPM sensor is already mounted on the board, with the only additional requirement being an external high-voltage supply to bias the device.
Has anyone here used this evaluation board before? Does it indeed come populated with the SiPM sensor? Also, what does the output signal look like in practice (e.g., amplitude, bandwidth, noise characteristics)?
Thanks in advance for any insights.
Greetings,
The evaluation board does indeed come with a mounted sensor.
Output waveforms will vary depending on which one is used–see datasheet p.5.
Bandwidth/noise would be affected by that choice also, as well as any amplification used and selection of bias conditions.
Thank you for the reply.
We are thinking to use this device for detecting multi-tone sinusoidal intensity signal. With that applications, would you recommend using a regular transimpedance amplifier followed by a regular RF amplifier, or an amplifier discriminator that uniform the pulse amplitude better?
I don’t understand the application and it’s objectives well enough to make a suggestion one way or the other; it seems like things such as incident photon flux levels, frequencies of the signals at issue, whether one’s interested in measuring a signal versus detecting it, constraints applicable to support hardware, etc.
If I read the related application note correctly the part is essentially a large array of avalanche diodes operating in Geiger mode, such that weak incident fluxes produce an analog-like output when the detection pulses of a few thousand individual cells are summed.
How exactly one chooses to treat that output likely depends on where the the information of interest is actually hidden within the signal; there’s often a particular range of frequency, amplitude, or time that one’s interested in, and signal chains that can gracefully reject the uninteresting parts often give better results than those that don’t.
