Comparison of remote access technologies for research facilities using EPICS/CSS. Application to particle accelerator experiments
Bibliographic record
Abstract
This study compares and proposes new alternatives for remotely connecting to visualize the experiments occurring in a particle accelerator located in Rokkasho, Japan. Three different platforms have been considered for remote access: the existing X2GO client, Guacamole with Control System Studio (CSS), and Phoebus web. While X2GO is a standard client for remote access to a server desktop, the other two platforms are proposed to improve the access, the response time, and the user experience for the researchers The servers for this study and the Operator Interfaces (OPIs) have been placed in our laboratory located in Granada, Spain, and the accelerator data, by means of Process Variables (PVs), were obtained via a VPN. Additionally, these platforms have been tested in two ways: with direct access to the PV data for each connection and using a local EPICS (Experimental Physics Industrial Control System) Gateway. The results prove that these new platforms, with a stable connection to the accelerator, could eventually enhance access to the experiments and balance the load of researchers connecting to the facility. This would allow the international team of researchers to participate in experiments as if they were physically in the control room.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".