A statistical approach to correct X‐ray response non‐uniformity in microstrip detectors for high‐accuracy and high‐resolution total‐scattering measurements
An unbiased approach to correct X‐ray response non‐uniformity in microstrip detectors has been developed based on the statistical estimation that the scattering intensity at a fixed angle from an object is expected to be constant within the Poisson noise. Raw scattering data of SiO2 glass measured b...
Gespeichert in:
Veröffentlicht in: | Journal of synchrotron radiation 2019-05, Vol.26 (3), p.762-773 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | An unbiased approach to correct X‐ray response non‐uniformity in microstrip detectors has been developed based on the statistical estimation that the scattering intensity at a fixed angle from an object is expected to be constant within the Poisson noise. Raw scattering data of SiO2 glass measured by a microstrip detector module was found to show an accuracy of 12σPN at an intensity of 106 photons, where σPN is the standard deviation according to the Poisson noise. The conventional flat‐field calibration has failed in correcting the data, whereas the alternative approach used in this article successfully improved the accuracy from 12σPN to 2σPN. This approach was applied to total‐scattering data measured by a gapless 15‐modular detector system. The quality of the data is evaluated in terms of the Bragg reflections of Si powder, the diffuse scattering of SiO2 glass, and the atomic pair distribution function of TiO2 nanoparticles and Ni powder.
A statistical approach to correct X‐ray response non‐uniformity in microstrip detectors was developed and applied to a detector system, which enabled high‐accuracy and high‐resolution total scattering measurements in a wide range of scattering vector. |
---|---|
ISSN: | 1600-5775 0909-0495 1600-5775 |
DOI: | 10.1107/S1600577519002145 |