MétaCan
Menu
Back to cohort
Record W4405392051 · doi:10.18429/jacow-hb2023-thc1i2

FRIB Beam Power Ramp-up: Status and Plans

2023· article· en· W4405392051 on OpenAlexafffund
J. Wei, C. Alleman, Hiroyuki Ao, B. Arend, Daniel Barofsky, Steven Beher, G. Bollen, Nathan Bultman, F. Casagrande, Wei Chang, Yoon Hyuck Choi, S. Cogan, Peter Cole, Chris Compton, M. Cortesi, John Curtin, Kelly Davidson, Xiaoji Du, Kyle Elliott, Brandon Ewert, A. Facco, Adam Fila, Kei Fukushima, V. Ganni, Andrei Ganshyn, T. N. Ginter, T. Glasmacher, Junwei Guo, Yue Hao, W. Hartung, Nusair Hasan, Marc Hausmann, Kent Holland, Hsiao-Chaun Hseuh, P. Hurh, Masanori Ikegami, Devin Jager, Shelly Jones, Nathan Joseph, Takuji Kanemura, Sanghoon Kim, Cody Knowles, Taro Konomi, Brandon Kortum, Niranjan Kulkarni, E. Kwan, Tanner Lange, Michael Larmann, T. Larter, Kaustubh Laturkar, Robert Laxdal, John LeTourneau, S. Lidia, Guillaume Machicoane, C. Magsig, Peter Manwiller, F. Marti, T. Maruta, Ethan Metzgar, Samuel Miller, Yoichi Momozaki, Dan Morris, Martin Mugerian, I.N. Nesterenko, Chinh Nguyen, P. N. Ostroumov, Mohit Patil, Alexander Plastun, Laura Popielarski, Mauricio Portillo, Adam Powers, S. Prestemon, John Priller, Xing Rao, Marc Reaume, Sierra Rogers, Kenji Saito, Tengming Shen, B. M. Sherrill, M. Smith, J. Song, M. Steiner, A. Stolz, O. Tarasov, Bryan Tousignant, Roben Walker, Xiaole Wang, John Wenstrom, Genevieve West, Ken Witgen, Yoshishige Yamazaki, Tong Zhang, Shen Zhao

Bibliographic record

VenueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsTRIUMF
FundersThomas Jefferson National Accelerator FacilityLawrence Berkeley National LaboratoryFermilabSLAC National Accelerator LaboratoryOak Ridge National LaboratoryLos Alamos National LaboratoryRIKENU.S. Department of EnergyInstitute of High Energy PhysicsTsinghua UniversityStrongTRIUMF
KeywordsPower (physics)Beam (structure)Computer scienceEnvironmental sciencePhysicsOptics

Abstract

fetched live from OpenAlex

After project completion on scope, on cost, and ahead of schedule, the Facility for Rare Isotope Beams began operations for scientific users in May of 2022. The ramp-up to a beam power of 400 kW is planned over a six-year period; 1 kW was delivered for initial user runs from in 2022, and 5 kW was delivered as of February 2023. Test runs with 10 kW 36Ar and 48Ca beams were conducted in July 2023. Upgrade plans include doubling the primary-beam energy to 400 MeV/nucleon for enhanced discovery potential (¿FRIB 400¿). This talk reports on the strategic plans towards high power operations emphasizing challenges and resolutions in beam-interception devices and targetry systems, radiation protection and controls, and legacy system renovation and integration.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.207
Teacher spread0.199 · 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 designNot applicable
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 routes2
Has abstractyes

Explore more

Same venueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)Same topicElectric Motor Design and AnalysisFrench-language works237,207