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ARES

Accelerator Research Experiment at SINBAD

CategoriesExperiment
Further information: Homepage
IdentifierEXP:(DE-H253)ARES-20200101

⇧ SINBAD ⇧

Note: At the core of the ARES (Accelerator Research Experiment at SINBAD) experimental area, a conventional S-band electron linac will accelerate ultra-short electron bunches to 100MeV with an RMS arrival time jitter of less than 10fs. While the design is optimized for low-charge (pC) ultra-short (sub/single fs), the bunch charges with several tens of pC can also be accelerated at the cost of longer bunch duration. More information on ARES can be found here. Once this goal is achieved, the accelerated electron bunches will be injected into advanced acceleration structures like dielectric structures or plasma cells. Once operational, SINBAD is, for example, one of the designated test-sites of the “ACHIP - Accelerator on a Chip” project, funded by the Moore Foundation. At the same time SINBAD can serve as a test bed for developments relevant for other DESY projects like FLASH and the European XFEL. Currently the infrastructure is being installed and individual components ordered. The first beam from the RF-gun is expected by the end of 2019, the first beam from the linac by spring 2020. SINBAD is a DESY project but external access to SINBAD is possible via collaborations or the ARIES transnational access programs.

Recent Publications

All known publications ...
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http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;
Large language models for human-machine collaborative particle accelerator tuning through natural language
Science advances 11(1), eadr4173 () [10.1126/sciadv.adr4173]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;
Bridging the gap between machine learning and particle accelerator physics with high-speed, differentiable simulations
[10.3204/PUBDB-2024-01950]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;
First in vitro measurement of VHEE relative biological effectiveness (RBE) in lung and prostate cancer cells using the ARES linac at DESY
Scientific reports 14(1), 10957 () [10.1038/s41598-024-60585-7]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Contribution to a book  ;  ;  ;  ;  ;  ;
Towards few-shot reinforcement learning in particle accelerator control
[Ebook] 15th International Particle Accelerator Conference, Nashville, Tennessee : May 19-24, 2024, Nashville, Tennessee, USA : proceedings / Pilat, Fulvia ; Andrian, Ivan , [Geneva] : JACoW Publishing, [2024],
15th International Particle Accelerator Conference, IPAC'24, NashvilleNashville, USA, 19 May 2024 - 24 May 20242024-05-192024-05-24 Geneva, Switzerland : JACoW Publishing 1804 - 1807 () [10.18429/JACOW-IPAC2024-TUPS60]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
[10.3204/PUBDB-2024-01644]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint
GAIA: A General AI Assistant for Intelligent Accelerator Operations
 GO arXiv  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;
Bayesian Optimization Algorithms for Accelerator Physics
Physical review accelerators and beams 27(8), 084801 () [10.1103/PhysRevAccelBeams.27.084801]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Journal Article  ;  ;  ;  ;
A compact dielectric grating-based charged particle bunch length diagnostic device at ARES
14th International Particle Accelerator Conference, IPAC'23, VeniceVenice, Italy, 7 May 2023 - 12 May 20232023-05-072023-05-12 Journal of physics / Conference Series 2687(7), 072008 () [10.1088/1742-6596/2687/7/072008]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Conference Presentation (Invited)
High-dimensional and ultra-sensitive diagnostics for electron beams
13th International Beam Instrumentation Conference (IBIC 2024), BeijingBeijing, Peoples R China, 9 Sep 2024 - 13 Sep 20242024-09-092024-09-13  GO  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Talk (non-conference) (Plenary/Keynote)  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;
electronCT - An Imaging Technique Using Very High Energy Electrons (VHEE)
10th Matter and Technologies Meeting, DESYBerlin, DESY, Germany, 18 Sep 20242024-09-18  GO  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

All known publications ...
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 Record created 2020-11-11, last modified 2022-10-14
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