Machine learning based crystal collimator alignment optimization
In the CERN Large Hadron Collider (LHC), bent crystals are used to efficiently deflect beam halo particles toward secondary collimators used as absorbers. In this crystal collimation scheme, a crystal with a length of a few millimeters can produce a deflection equivalent to a magnetic field of hundr...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Physical Society
2024-09-01
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| Serie: | Physical Review Accelerators and Beams |
| Accesso online: | http://doi.org/10.1103/PhysRevAccelBeams.27.093001 |
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