MétaCan
Menu
Back to cohort
Record W3003036188 · doi:10.1142/9789814405072_0134

NEUTRON AND PROTON TESTS OF DIFFERENT TECHNOLOGIES FOR THE UPGRADE OF COLD READOUT ELECTRONICS OF THE ATLAS HADRONIC ENDCAP CALORIMETER

2012· book-chapter· en· W3003036188 on OpenAlexaff
M. Nagel

Bibliographic record

VenueAstroparticle, particle, space physics, radiation interaction, detectors and medical physics applications · 2012
Typebook-chapter
Languageen
FieldEngineering
TopicAdvanced Research in Systems and Signal Processing
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAtlas (anatomy)UpgradeNuclear physicsHadronPhysicsNeutronLarge Hadron ColliderCalorimeter (particle physics)Particle physicsProtonNuclear engineeringEngineeringDetectorComputer scienceOptics

Abstract

fetched live from OpenAlex

The expected increase of total integrated luminosity by a factor of ten at the HL-LHC compared to the design goals for LHC essentially eliminates the safety factor for radiation hardness realized at the current cold amplifiers of the ATLAS Hadronic Endcap Calorimeter (HEC). New more radiation hard technologies have been studied: SiGe bipolar, Si CMOS FET and GaAs FET transistors have been irradiated with neutrons up to an integrated fluence of 2.2 \\cdot 10^{16} n/cm2 and with 200 MeV protons up to an integrated fluence of 2.6 \\cdot 10^{14} p/cm2. Comparisons of transistor parameters such as the gain for both types of irradiations are presented.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.264
Teacher spread0.251 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueAstroparticle, particle, space physics, radiation interaction, detectors and medical physics applicationsSame topicAdvanced Research in Systems and Signal ProcessingFrench-language works237,207