Date: March 24, 2026
The meeting focused on progress in the AID2E framework, with emphasis on holistic optimization of EPIC sub-detectors. Integration of components such as B0, Tracker, and dRICH is underway, with EPIC integration expected to be completed by the end of the week.
Plans for benchmarking were reviewed, including the use of test functions and exploration of LLM-based support for optimization initialization and job monitoring.
The importance of maintaining human oversight in the optimization loop was highlighted, avoiding full automation.
The team discussed the structure of the upcoming paper, covering framework design philosophy, optimization strategies, and benchmarking results. The first holistic optimization run is targeted within the next week.
Derek
Baptiste & Derek
Karthik (and relevant contributors)
All
Next Technical Meeting Lead
The planned holistic optimization includes ~35 design parameters and 3–4 objectives.
Previous stress tests (December) explored design spaces of sizes 10, 20, 50, and 100 with 3–5 parameters. These were not performed using the current AID2E framework.
The team agreed that existing results may be reused unless framework changes justify rerunning benchmarks. Integration of PandaRunner is expected to require new tests.