Literature DB >> 16268175

X-ray spectrometry and spectrum image mapping at output count rates above 100 kHz with a silicon drift detector on a scanning electron microscope.

Dale E Newbury1.   

Abstract

A third-generation silicon drift detector (SDD) in the form of a silicon multicathode detector (SMCD) was tested as an analytical x-ray spectrometer on a scanning electron microscope. Resolution, output count rate, and spectral quality were examined as a function of the detector peaking time from 8 micros to 250 ns and over a range of input count rate (dead time). The SDD-SMCD (50 mm2 active area) produced a resolution of 134 eV with a peaking time of 8 micros. The peak width and peak channel were nearly independent of the input count rate (at 8 micros peaking time, the peak width degradation was 0.003 eV/percent dead time and peak position change was -0.7 eV over the dead time range tested). Maximum output count rates as high as 280 kHz were obtained with a 500 ns peaking time (188 eV resolution) and 500 kHz with a 250 ns peaking time (217 eV resolution). X-ray spectrum imaging was achieved with a pixel dwell time as short as 10 ms (with 1.3 ms overhead) in which a 2048 channel (10 eV/channel) spectrum with 2-byte intensity range was recorded at each pixel (scanned at 128 x 128). With a 220 kHz output count rate, a minor constituent of iron (present at a concentration of 0.04 mass fraction or 4 weight %) in an aluminum-nickel alloy could be readily detected in the x-ray maps derived from the x-ray spectrum image database accumulated in 185 s.

Entities:  

Year:  2005        PMID: 16268175     DOI: 10.1002/sca.4950270503

Source DB:  PubMed          Journal:  Scanning        ISSN: 0161-0457            Impact factor:   1.932


  3 in total

1.  A compact 7-cell Si-drift detector module for high-count rate X-ray spectroscopy.

Authors:  K Hansen; C Reckleben; I Diehl; H Klär
Journal:  Nucl Instrum Methods Phys Res A       Date:  2008-05-01       Impact factor: 1.455

Review 2.  Analysis of Non-Metallic Inclusions by Means of Chemical and Electrolytic Extraction-A Review.

Authors:  Shashank Ramesh Babu; Susanne Katharina Michelic
Journal:  Materials (Basel)       Date:  2022-05-07       Impact factor: 3.623

3.  Multicomponent signal unmixing from nanoheterostructures: overcoming the traditional challenges of nanoscale X-ray analysis via machine learning.

Authors:  David Rossouw; Pierre Burdet; Francisco de la Peña; Caterina Ducati; Benjamin R Knappett; Andrew E H Wheatley; Paul A Midgley
Journal:  Nano Lett       Date:  2015-03-17       Impact factor: 11.189

  3 in total

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