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Record W7064741899

Bob Dobinson (1943-2004)

2004· other· en· W7064741899 on OpenAlexaboutno aff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2004
Typeother
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)Set (abstract data type)Perspective (graphical)Work (physics)Natural (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Bob Dobinson died, very unexpectedly, in England on Thursday 19th February. Bob came to CERN as a NATO Fellow in April 1968, directly after gaining his PhD in London. He joined the CERN-Rome Group, carrying out experiments both at the CERN PS and at Serpukhov. He became a CERN fellow before being appointed as a Staff Member in 1971. His professional interests were always in the area of electronics, instrumentation, networking and computing at the "front-end" of experiments. In that context, mention must be made of his outstanding work in driving the CAMAC standard, and his later work on FASTBUS; of his leadership of the European Muon Collaboration's online team and of his support, as a user, for standard PDP-11 data acquisition software; of his interest in Ethernet at all times from its very initial use to inter-connect computers to his latest work with the Gigabit and 10 Gigabit versions as the basis for data transmission within experiments. Bob lived life the way he wanted to, and with great energy. He drove himself hard and generated enthusiasm amongst his collaborators to do the same. Always willing to learn from first principles about topics that interested him, he persisted with questions until he had obtained a full understanding. That made him a first-class teacher, and he held positions as Visiting Professor at the Universities of Liverpool and London. It also made him a really excellent research supervisor, and he was supervising six PhD students at the time of his death. From 1983-1987 he was on leave of absence from CERN, initially at the University of Illinois, and then as leader of the Electronics Group at TRIUMF in Vancouver, where he was also an Adjunct Professor at the University of Victoria. He was one of the first people at CERN to understand the interest of the European Union's Framework Programme for funding developments reaching beyond those that could be funded from the laboratory's baseline budget. GP-MIMD, Harmony, Macramé, ARCHES, SWIFT and ESTA are all EU-funded projects in which he was heavily involved (and some of which he led), with transputers, switching fabrics and Ethernet being the core technologies that interested him. He was highly respected as an expert in these areas by both academia and industry, and thus made very real contributions to technology transfer over many years. He had been working on ATLAS Trigger and Data Acquisition since 1995 where he played an essential role in developing the design of the overall system, bringing his extensive experience in computer networking to bear. He recognised at an early stage that Gigabit Ethernet was the right technology for the task, and went on to develop these ideas through prototyping, computer modelling and technology evaluation, leading with great energy and enthusiasm a team of younger colleagues. In this work he exploited fully the common interests of ATLAS and externally funded R&D projects to their mutual benefit. He had a broad understanding of the T/DAQ project, working closely with the project management who relied strongly on his advice. The T/DAQ system that will be built for ATLAS reflects important contributions that he has made. Away from work, he was a keen sportsman; on the squash court, walking up hills and mountains, and skiing, barely pausing for the rest of us to catch up with him. He especially enjoyed playing his different guitars. Always generous, he was a devoted father to his two children. To his family and to his close friends and colleagues we offer our sincere condolences on this immensely sad occasion. Friends and colleagues from CERN and the Atlas Collaboration

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.190
Threshold uncertainty score0.635

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1900.136

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 head0.019
GPT teacher head0.259
Teacher spread0.239 · 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
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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