Journal of Analytical Science & Technology· 2026Q2
Self-calibrated deadtime correction using poisson-tail invariance in event-driven electron detectors
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- Q2SCImago
- 2026year
Short summary
A novel monitor-free, self-calibrated method corrects deadtime in event-driven electron detectors by using the invariance of Poisson-tail inter-arrival times, increasing peak count rate by 67% (from 78 kHz to 131 kHz).
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Key points
- Introduces a monitor-free, self-calibrated deadtime correction method for event-driven electron detectors.
- Method relies on the invariance of the long-time Poisson tail of inter-arrival time distributions to estimate incident arrival rate.
- Demonstrated in high-flux transmission electron microscopy, correcting deadtime-limited beam profiles.
- Achieved a 67% increase in corrected peak count rate (78 kHz to 131 kHz) compared to raw data.
AI-generated from the title and abstract; the full text is not read.
Abstract
High-flux electron counting with event-driven detectors is fundamentally limited by pixel-level deadtime, resulting in nonlinear count loss, variance suppression, and distortion of spatial intensity profiles. We introduce a monitor-free, self-calibrated deadtime correction method based on the invariance of the long-time Poisson tail of inter-arrival time distributions. Under stationary Poisson illumination, the long-time inter-arrival tail provides an internal statistical estimate of the incident arrival rate, independent of external flux measurements. The approach is demonstrated using high-flux transmission electron microscopy beam-profile measurements, where spatial Fano-factor analysis confirms operation in the deadtime-limited regime. By calibrating an effective extended-deadtime model with the tail-derived rate, the corrected peak count rate increases from approximately 78 kHz to 131 kHz, corresponding to a 67% increase relative to the raw peak. These results establish a self-referenced framework for deadtime correction and dynamic-range extension in event-driven electron detectors, subject to the validity of the stationary-arrival and tail-invariance assumptions.
The authors' abstract, as published at the source. Journal of Analytical Science & Technology, 2026 · DOI ↗
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Field: Surfaces, Coatings and Films
Surfaces, Coatings and FilmsMaterials Science