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Enregistrement W4390944583 · doi:10.1088/1742-6596/2681/1/011001

Preface

2024· article· en· W4390944583 sur OpenAlexaboutno aff

Notice bibliographique

RevueJournal of Physics Conference Series · 2024
Typearticle
Langueen
DomaineEngineering
ThématiqueParticle Accelerators and Free-Electron Lasers
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésExhibitionCLs upper limitsBeam (structure)Library scienceEngineering physicsArt historyPhysicsOpticsComputer scienceArtMedicineOptometry

Résumé

récupéré en direct d'OpenAlex

The 12 th International Beam Instrumentation Conference, IBIC’23, was hosted by the Canadian Light Source (CLS) in Saskatoon, Saskatchewan, Canada from Sunday, September 10 th to September 14 th , 2023. IBIC is dedicated to exploring the physics and engineering challenges of beam diagnostic and measurement techniques for particle accelerators. IBIC’23 was attended by 182 delegates from 18 countries. IBIC’23 included 18 invited talks, 18 contributed talks, 2 tutorials, 114 posters, and a 3-day vendor exhibition with 18 industrial exhibitors in attendance. Twenty-five young scientists from all over the globe attended the conference. Nine of these students received grants thanks to sponsorship from the City of Saskatoon, Tourism SK, Discover Saskatoon and Innovation SK and contribution from the industrial exhibitors. The organizers of IBIC’23 are grateful to all sponsors for their valued support. The conference venue was TCU Place, a 104,000-square-foot convention and arts centre situated in downtown Saskatoon. Welcome remarks were delivered by CLS CEO, Bill Matiko, Saskatoon Mayor, Charlie Clark and University of Saskatchewan President Peter Stoicheff and Tonia Batten (CLS), IBIC’23 Conference Chair, opened the conference. The scientific program was developed by a 23-member Scientific Program Committee (SPC). Oral and poster sessions were grouped according to the following nine IBIC classifications. Beam Charge and Current Monitors • Diagnostic systems measuring the average beam current, instantaneous total intensity or individual bunch intensity. Beam Loss Monitors and Machine Protection • Diagnostic systems measuring the average beam loss, instantaneous beam loss or individual bunch loss. • Machine protection architectures based on inputs from beam instrumentation systems, as well as machine protection apparatus such as scrapers, collimators, radiation shields, etc. Beam Position Monitors • Diagnostic systems used for the measurement of beam position: orbit measurement techniques, trajectory measurement techniques, and bunch-by-bunch position measurement systems. • This track includes the use of diagnostics associated with secondary beams, e.g. photon beamlines, to measure the position of the charged particle beam. Data Acquisition and Processing Platforms • Data acquisition systems or architectures of relevance for beam diagnostic systems. This includes acquisition platforms, data processing techniques, electronic component validation or characterization. • Computing platforms, control and acquisition software and operating systems of relevance for beam diagnostics. Feedback Systems and Beam Stability • Systems used to stabilize or control any beam or accelerator parameter either in a closed or open loop. This includes control of orbit, trajectory, longitudinal stability, bunch-by-bunch transverse stability, emittance, tune, chromaticity, etc. • This can include descriptions of the detectors, actuators, any specialized acquisition electronics used to acquire the signal, as well as related data processing techniques. The feedback or feedforward aspects should, however, form a major part of the submission, otherwise, the diagnostic description would be better suited to the track dealing with the primary measurement under discussion. Longitudinal Diagnostics and Synchronization • Diagnostic systems used for the measurement of longitudinal beam parameters such as bunch length, bunch profile, arrival time, energy spread, or longitudinal emittance. • Systems used for beam synchronization and timing distribution. Machine Parameter Measurements • Systems used to measure machine parameters such as betatron tune, chromaticity, higher-order multipoles, space charge, impedance, beam-beam, etc. • Techniques and algorithms used for such measurements. • Other diagnostic devices or techniques which do not clearly match any of the previous tracks. Overview and Commissioning • General description of beam instrumentation devices and systems at new facilities or machine upgrades. • Commissioning results and lessons learned. • Workshop reports related to beam diagnostics. Transverse Profile and Emittance Monitors • Diagnostic systems used for the measurement of transverse beam size, transverse beam profile, transverse emittance, and beam halos. • This track includes both interceptive and non-interceptive diagnostics. The distribution of talks by classification was 5% Beam Charge and Current Monitors, 8% Beam Loss Monitors and Machine Protection, 13% Beam Position Monitors, 16% Data Acquisition and Processing Platforms, 8% Feedback Systems and Beam Stability, 18% Longitudinal Diagnostics and Synchronization, 8% Machine Parameter Measurements, 16% Overview and Commissioning and 8% Transverse Profile and Emittance Monitors. The regional distribution for participation was 37% from the Americas, 18% from Asia and 45% from Europe. The regional distribution of talks was 32% from the Americas, 26% from Asia and 42% from Europe. The gender ratio for oral presentations was 82% male and 18% female. The oral presentations were 79% onsite talks and 21% remote talks. List of Industrial Exhibition, Peer Reviewed Proceedings, IBIC2023, Peer Review General Policies, IBIC 2023 Peer Review Acceptance Criteria, IBIC 2023 Questions posed to referee in SPMS review module and Committees are available in this Pdf.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,514
Score d'incertitude au seuil0,279

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,225
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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