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Researchers plan to use AI to prioritize oversubscribed ATLAS experiments
Summary
Presenters said the ATLAS facility at Argonne is oversubscribed by about a factor of two for experiment proposals and that AI tools will be used to identify which experiments most effectively advance research goals.
A presenter noted that one facility at Argonne — the ATLAS facility — is oversubscribed by at least a factor of two for desired experiments and said AI tools are intended to help prioritize which experiments deliver the most value toward research goals.
"We have a facility, for example, here at Argonne National Laboratory, the ATLAS facility, and every year it is oversubscribed by at least a factor of 2 for the experiments that people want to do," the presenter said, explaining the motivation for tools that help select the most valuable experiments.
The presenters described using AI to assess expected returns from experiments and to guide scarce facility time; the transcript did not provide specific algorithms, selection criteria or schedule information.
