Article ; Online: Automatic and Quantitative Measurement of Spectrometer Aberrations.
2023 Volume 29, Issue 5, Page(s) 1671–1681
Abstract: The performance of electron energy loss spectrometers can often be limited by their electron optical aberrations. Due to recent developments in high energy resolution and momentum-resolved electron energy loss spectroscopy (EELS), there is renewed ... ...
| Abstract | The performance of electron energy loss spectrometers can often be limited by their electron optical aberrations. Due to recent developments in high energy resolution and momentum-resolved electron energy loss spectroscopy (EELS), there is renewed interest in optimizing the performance of such spectrometers. For example, the "ω - q" mode of momentum-resolved EELS, which uses a small convergence angle and requires aligning diffraction spots with the slot aperture, presents a challenge in the realignments of the spectrometer required by the adjustment of the projection lenses. Automated and robust alignment can greatly benefit such a process. The first step toward this goal is automatic and quantitative measurement of spectrometer aberrations. We demonstrate the measurement of geometric aberrations and distortions in EELS within a monochromated scanning transmission electron microscope (STEM). To better understand the results, we present a wave mechanical simulation of the experiment. Using the measured aberration and distortion coefficients as inputs to the simulation, we find a good match between the simulation and experiment, verifying formulae used in the simulation. From verified simulations with known aberration coefficients, we can assess the accuracy of measurements. Understanding the errors and inaccuracies in the procedure can guide further progress in aberration measurement and correction for new spectrometer developments. |
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| Language | English |
| Publishing date | 2023-09-03 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 1385710-1 |
| ISSN | 1435-8115 ; 1431-9276 |
| ISSN (online) | 1435-8115 |
| ISSN | 1431-9276 |
| DOI | 10.1093/micmic/ozad084 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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