GARD RF Roadmap Update - RF Controls

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Alessandro Ratti, Emilio Nanni (SLAC, Stanford University), Philip Varghese
Description
 

It has been almost a decade since the publication of the decadal GARD RF Roadmap in 2017. In the intervening years, our community has made significant progress in advancing RF accelerator technologies, contributing to the HEP mission and benefiting the broader DOE mission.

The landscape of our community has also evolved considerably, notably  with the recent release of a new P5 report at the end of 2023. In light of these changes, and under the direction of the GARD program manager Derun Li, we are launching an initiative to update the RF Roadmap aimed at identifying high impact R&D topics; near, mid and far term goals; and ascertain the community's most urgent priorities and workforce development needs.

This process will require strong engagement with the community. This indico page is for one of four virtual meetings focused on subtopics within GARD RF. This meeting will cover aspects of RF controls from current project needs to ongoing developments in hardware and software though machine learning and artificial intelligence.

LLRF Control. There will be a series of summary/overview talks on ongoing R&D, needs, and applications. The community will assess progress to date compared to the current DOE GARD RF Roadmap. Additionally, there will be time for contributed 5-min 1-2 slide talks to make sure we capture important topics. If you are interested in presenting a contributed talk, please email us.

At all stages we welcome your input and feedback. Please do not hesitate to reach out directly to us. Please also forward this page to your colleagues who may be interested.

Philip Varghese (FNAL)
Alessandro Ratti (LBNL)

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