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Record W2910109534 · doi:10.1098/rsbm.2016.0010

Alan Astbury. 27 November 1934—21 July 2014

2019· article· en· W2910109534 on OpenAlexaffabout
R. Keeler, M. Lefebvre

Bibliographic record

VenueBiographical Memoirs of Fellows of the Royal Society · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Victoria
FundersRoyal Society
KeywordsDESYSubatomic particleSuper Proton SynchrotronLarge Hadron ColliderNuclear physicsPhysicsProton SynchrotronSynchrotronParticle acceleratorProtonBeam (structure)Elementary particleOptics

Abstract

fetched live from OpenAlex

Alan Astbury worked in the area of accelerator based subatomic physics. Increasing beam energies, intensities and types of available accelerated beams opened scientific windows to new phenomena throughout his career. Exploiting these new beams required new techniques and the use of the latest technology. Alan was always at the forefront of putting these components together into the experiments needed to confirm or reject the latest theoretical advances or clarify conflicting experimental observations. Following his PhD using the synchrocyclotron at the University of Liverpool and a postdoctoral position at Berkeley, he became a staff member at the Rutherford Appleton Laboratory, where he played a central role in the successive experiments with the Nimrod proton synchrotron, the 26 GeV proton synchrotron at CERN and, perhaps most significantly, with the UA1 experiment at CERN that discovered the W and Z particles. Alan moved to Canada in 1983 and made enormous contributions to Canadian science. He was instrumental in building relationships between Canadian scientists and CERN, DESY and SLAC. As director of the Canadian Institute of Particle Physics and then director of the TRIUMF laboratory, he guided subatomic physics policy and planning for two decades. On the international scene, he was president of the International Union of Pure and Applied Physics.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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 teacher head, 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

Citations0
Published2019
Admission routes2
Has abstractyes

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