Characterization of Medipix3 With Synchrotron Radiation
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Citations
X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems
Vision 20/20: Single photon counting x-ray detectors in medical imaging
submitter : Asic developments for radiation imaging applications: The medipix and timepix family
Charge Summing in Spectroscopic X-Ray Detectors With High-Z Sensors
One hundred years of diffuse scattering
References
Radiation detection and measurement
The Atomic Nucleus
The Medipix3 Prototype, a Pixel Readout Chip Working in Single Photon Counting Mode with Improved Spectrometric Performance
Medipix3: A 64 k pixel detector readout chip working in single photon counting mode with improved spectrometric performance
Characterization and Calibration of PILATUS Detectors
Related Papers (5)
Vision 20/20: Single photon counting x-ray detectors in medical imaging
Frequently Asked Questions (14)
Q2. How many electrons were injected every ten minutes?
The storage ring was operated at a current of 150 mA in top-up mode, i.e. a small amount of electrons were injected every ten minutes to compensate for losses and keep the current constant to within 1%.
Q3. What were the free parameters for the spectra?
The free parameters were: the input count rate (icr) with no attenuation, the transmission of a single foil and the dead time of the detector .
Q4. What is the first discriminator used to define the global lower threshold?
The first discriminator is used to define the global lower threshold (THL) and as an input to the arbitration logic when charge summing is enabled.
Q5. What is the way to perform the experiments with the micro-focused beam?
In order to perform the experiments with the micro-focused beam, it was important to have aligned the detector perpendicular to the beam.
Q6. What is the THL threshold for the two periphery DACs?
Subsequent THL threshold scans using the equalization algorithm are used to optimize the settings of two of the periphery DACs (THN DAC and DAC_pixel).
Q7. What was used for the characterisation of the detector?
In all of them a monochromatic beam achieved by a Si(111) double crystal monochromator was used for the characterisation of the detector.
Q8. What is the effect of the threshold equalization on noise?
Experiments show that in SPM mode, the pixel-to-pixel threshold dispersion improves when the threshold equalization is done on X-rays instead on noise.
Q9. How can the Medipix3 be programmed for SPM?
The Medipix3 chip may still be programmed for SPM by disabling the charge reconstruction and the communication between neighbouring pixels.
Q10. What is the effect of the charge sharing effect on the detector?
in CSM mode there is a uniform detection of the incident charge across the detector whereas in SPM mode the detector shows a loss in detection efficiency near pixel edges due to the charge sharing effect (Fig. 16).
Q11. How many counts were normalized to the corrected image?
The signal-to-noise ratio (SNR) of the flat-field corrected image was normalized to the square root of the mean number of counts in the corrected image.
Q12. How can a detector be receptive to a bunch of electrons?
The dead time correction can then be derived for each bunch of electrons by calculating the probability that the detector is idle.
Q13. Why is the THL equalization algorithm used to compensate for gain and offset variations?
This is due to the fact that the equalization done with X-rays compensates for gain and offset variations between pixels whereas equalization done on noise compensates only for offset variations.
Q14. What was the relative standard deviation of these two distributions?
The relative standard deviation of these two distributions was calculated to evaluate the dispersion in flat-field correction factors across the sensor.