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A Compact X-Ray Emission (mini-XES) Spectrometer at CLS - Design and Fabrication Methods

2021· article· en· W6963090993 on OpenAlexaff

Bibliographic record

VenueJACOW · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsChicken Farmers of Saskatchewan (Canada)
Fundersnot available
KeywordsSpectrometerFabricationBeamlineWigglerDetectorUpgradeUndulatorFlange

Abstract

fetched live from OpenAlex

A compact X-ray emission spectrometer (mini-XES) has been designed and fabricated for use at the Brockhouse undulator beamline*. The mini-XES uses cylindrical von Hamos geometry tuned for Fe K-edge and uses a Pilatus 100 K area detector from Dectris**. It is based on a general design implemented at the APS***. The mini-XES design was developed to be as simple to fabricate and as easy to operate as possible. We tried to minimize the number of components, so there are only two main parts that create a chamber. Those two components are joined and aligned by a NW-80 flange. From the beginning, the design was trying to achieve no tools assembly, alignment, and operation. For lower precision alignment we decided to use the centering ring of the NW-80 flange which, together with two posts integrated with the chamber, provides an adequate method for joining the two parts of the enclosure. We use level vials for horizontal adjustment of the holder for the 10 crystals. For high precision alignment of the holder of the crystal, we used the Thorlab KC1/M kinematic mount, which had the adjustment screws accessible from outside of the chamber. The fabrication was done in-house using uPrint SE Plus 3D Printer****. The first tests of the spectrometer were completed in the Brockhouse wiggler beamline and were successful. Future improvements will aim to reduce the background scatter and better position the detector, to improve the fill. Now that the relatively inexpensive design was tested and tried, there is an option to upgrade it to 3D printed tungsten or steel version that would intrinsically provide the required shielding.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.021
GPT teacher head0.323
Teacher spread0.302 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2021
Admission routes1
Has abstractyes

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