Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Feedback Control and Process Tuning"'
The Linac Coherent Light Source (LCLS) at the SLAC National Accelerator Laboratory is currently undergoing a major upgrade. In order to facilitate the development of new software that will be needed to operate the upgraded machine, a simulator has be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc6afdf2d2f729fb8cb3e8b19f4d3d1
Autor:
Brendike, Maxim, Baker, Robert, Berruyer, Gilles, Ducotté, Ludovic, Gonzalez, Hervé, Guilloud, Cyril, Perez, Manuel
Publikováno v:
17th International Conference on Accelerator and Large Experimental Physics Control Systems
17th International Conference on Accelerator and Large Experimental Physics Control Systems, Oct 2019, New York, United States. pp.TUCPL05, ⟨10.18429/JACoW-ICALEPCS2019-TUCPL05⟩
17th International Conference on Accelerator and Large Experimental Physics Control Systems, Oct 2019, New York, United States. pp.TUCPL05, ⟨10.18429/JACoW-ICALEPCS2019-TUCPL05⟩
The ESRF-Double Crystal Monochromator (ESRF-DCM) has been designed and developed in-house to enable spectroscopy beamlines to exploit the full potential of the ESRF-EBS upgrade. To reach concomitant beam positioning accuracy and beam stability at nan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5688e9f30d919befee58637861719eb8
Autor:
Piselli, Emiliano, Akroh, Abdelouahid, Blaum, Klaus, Door, Menno, Leimbach, David, Rothe, Sebastian
In experimental physics, computer algorithms are used to make decisions to perform measurements and different types of operations. To create a useful algorithm, the optimization parameters should be based on real time data. However, parameter optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8512056d36a053576f76098eca3f501
Autor:
Salvachua, Belen, Alves, Diogo, Azzopardi, Gabriella, Jackson, Stephen, Mirarchi, Daniele, Pojer, Mirko, Valentino, Gianluca
During LHC operation, a campaign to validate the configuration of the LHC collimation system is conducted every few months. This is performed by means of loss maps, where specific beam losses are deliberately generated with the resulting loss pattern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33891d8e84441c8b7ef5a1748fb4eaa7
http://cds.cern.ch/record/2778517
http://cds.cern.ch/record/2778517
The correct K value of an undulator is an important parameter to achieve lasing conditions at free electron lasers. The accuracy of the installation of the undulator in the tunnel is limited by the accuracy of the instruments used in surveying. Moreo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3869f799c63352e00a32e3babc618c00
A general multiple-input multiple-output feedback device has been implemented in Tango for various applications in the MAX IV accelerators. The device has a configurable list of sensors and actuators, response matrix inversion, gain and frequency reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91d3e31b63f52ff44fbee1c71c36d92b
The Helmholtz Association has initiated the implementation of the Data Management and Analysis concept across its centers in Germany. At Helmholtz-Zentrum Berlin, both the beamline and the machine (accelerator) groups have started working towards set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc3567308b9686e4e3fe6b09c1609ee6
Autor:
Boltz, Tobias, Bründermann, Erik, Caselle, Michele, Kopmann, Andreas, Mexner, Wolfgang, Müller, Anke-Susanne, Wang, Weijia
The German Helmholtz Innovation Pool project will explore and provide novel cutting edge Machine Learning techniques to address some of the most urgent challenges in the era of large data harvests in accelerator physics. Progress in virtually all are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3281d22ae6d82db4a2ef24ac5f7377e1
Autor:
Bruchon, Niky, Fenu, Gianfranco, Gaio, Giulio, Lonza, Marco, Pellegrino, Felice Andrea, Salvato, Erica
Reinforcement Learning (RL) is one of the most promising techniques in Machine Learning because of its modest computational requirements with respect to other algorithms. RL uses an agent that takes actions within its environment to maximize a reward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8a0b5db379f3e18751851087e151cf
The Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory will undergo a beam energy scan over the next several years. To execute this scan, the transfer line between the Alternating Gradient Synchrotron (AGS) and RHIC or the so-ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf102d5ca8493ac14487902ac47fbb72