MétaCan
Menu
Back to cohort
Record W4385073179 · doi:10.1093/micmic/ozad067.169

Spatial Resolution in Aloof EELS

2023· article· en· W4385073179 on OpenAlexaff
R.F. Egerton, Yifan Wang, Peter A. Crozier

Bibliographic record

VenueMicroscopy and Microanalysis · 2023
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTempeLibrary scienceState (computer science)Energy (signal processing)PhysicsComputer scienceChemistryAlgorithm

Abstract

fetched live from OpenAlex

An important question in electron microscopy is: where does our information come from? The simple answer “where the recorded electrons penetrate the sample” is not even approximately true in aloof-beam EELS, where a focused probe of electrons is placed a distance b (the impact parameter) beyond the edge of a specimen. Aloof measurements are useful for investigating plasmonic modes in small particles and for extracting information from beam-sensitive specimens with minimal radiation damage [1–3]. Dipole-mode inelastic scattering can be simulated using finite-element methods, e.g. COMSOL. Calculated spectra for vibrational energy losses in a 100nm-thick SiO2 slab are shown in Fig. 1. The spectra contain a peak at about 155 meV, representing a bulk polariton mode, a peak around 140 meV representing excitation at the (coupled) top and bottom surfaces, and a peak between 135 and 140 meV arising from a mode localized at the edge of the sample [4]. Figure 2 shows the calculated polarization P(r), which is seen to have approximately cylindrical symmetry about the probe axis (r = 0). As seen in Figure 3, the depth-integrated polarization is roughly proportional to 1/r for both aloof and transmission geometry. This is consistent with a transmission-mode 1/r2 point-spread function for Coulomb delocalization [3] if contributions to the EELS signal are proportional to polarization/r [5]. Integrating P/r over distance x (= r − b) from the edge of the sample, the width x50 containing 50% of the signal is found to be approximately b (see Fig. 4), indicating that the aloof spatial resolution is (within a factor of 2) equal to the impact parameter of the probe. The y-axis resolution is about a factor of two worse and the edge-surface mode is slightly more delocalized (see Fig. 4), consistent with a smaller angular width of the scattering [5]. These ideas suggest that (for a given probe current) the radiolysis sensitivity in aloof mode might be proportional to 1/b2, which would be consistent with the observation that fading of the C=O vibrational-mode signal from guanine was measurable at b = 10 nm but not at b = 30 nm [4]. However, this b-dependence needs to be verified experimentally. Although the examples given here relate to vibrational-mode energy losses, similar principles apply to dipole-mode electronic excitation (including plasmon losses), but with length scales typically a factor of ten smaller. For inner-shell energy losses or vibrational-mode impact scattering, the delocalization distance approaches atomic dimensions, making aloof-beam EELS impractical. In the case of small particles, all of the excitations become standing waves and the EELS signal comes predominantly from within a single particle. COMSOL calculations of the energy-loss spectra for small aloof probes at different distances b from the edge of a 100nm-thick SiO2 slab. The uppermost spectrum is for the transmission geometry, with an electron probe far from the edge of the specimen. Polarization P within a 100nm slab of SiO2, due to an aloof beam (vertical arrow) of 60keV electrons located at a distance b = 100 nm from the edge, which in this example has been rounded into a hemisphere to make the geometry more realistic. Depth-integrated polarization ∫ P(r) dz as a function of distance r from the electron probe, for b = 10 nm (yellow or red line), b = 100 nm (gray), and transmission mode (blue). Median distance x50 into the sample, containing 50% of the energy-loss signal at y = 0, as a function of impact parameter, for several values of (SiO2 vibrational-mode) energy loss.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.284
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMicroscopy and MicroanalysisSame topicElectron and X-Ray Spectroscopy TechniquesFrench-language works237,207