Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Christian Grech"'
Publikováno v:
Materials, Vol 13, Iss 11, p 2561 (2020)
In this work, a Preisach-recurrent neural network model is proposed to predict the dynamic hysteresis in ARMCO pure iron, an important soft magnetic material in particle accelerator magnets. A recurrent neural network coupled with Preisach play opera
Externí odkaz:
https://doaj.org/article/66a5dd37025d47ecb4454d343ca61617
Autor:
Joseph Vella Wallbank, David Giloteaux, Vincenzo Di Capua, Maria Amodeo, Nicholas Sammut, Marco Buzio, Christian Grech, Anthony Beaumont
Publikováno v:
Electronics, Vol 10, Iss 2140, p 2140 (2021)
Electronics
Volume 10
Issue 17
Electronics
Volume 10
Issue 17
The precise knowledge of the magnetic field produced by dipole magnets is critical to the operation of a synchrotron. Real-time measurement systems may be required, especially in the case of iron-dominated electromagnets with strong non-linear effect
Autor:
David Giloteaux, Vincenzo Di Capua, Joseph Vella Wallbank, Christian Grech, Maria Amodeo, Nicholas Sammut, Marco Buzio, Anthony Beaumont
In synchrotrons at the European Organization for Nuclear Research (CERN), magnetic measurement systems known as B-trains measure the magnetic field in the main bending magnets in real-time, and transmit this signal for the control of the synchrotron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaa77d857385a471823b34b133203254
http://hdl.handle.net/11583/2859756
http://hdl.handle.net/11583/2859756
In this paper, we present a measurement model for estimating the magnetic field of a synchrotron-type particle accelerator, based on sensors installed in a reference magnet. The model combines the calibration of the individual sensors with the experi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45bcf236f308aa00b393d27222cc6239
https://www.um.edu.mt/library/oar/handle/123456789/58836
https://www.um.edu.mt/library/oar/handle/123456789/58836
Publikováno v:
MED
This work compares the use of three different artificial neural networks (ANNs) to estimate shoulder and elbow kinematics using surface electromyographic (EMG) signals for proportional and simultaneous control of multiple degrees of freedom (DOFs). T
Publikováno v:
Journal of Physics: Conference Series. 1065:052022
A field marker is a magnetic field sensor used in synchrotrons, which provides a digital trigger when the magnetic field reaches a pre-set threshold. This paper describes the results of an in-situ measurement performed on the Extra Low ENergy Antipro
Autor:
Shan Liu, Christian Grech, Marc Guetg, Suren Karabekyan, Vitali Kocharyan, Naresh Kujala, Christoph Lechner, Tianyun Long, Najmeh Mirian, Weilun Qin, Svitozar Serkez, Sergey Tomin, Jiawei Yan, Suren Abeghyan, Jayson Anton, Vladimir Blank, Ukrike Boesenberg, Frank Brinker, Ye Chen, Winfried Decking, Xiaohao Dong, Steve Kearney, Daniele La Civita, Anders Madsen, Theophilos Maltezopoulos, Angel Rodriguez-Fernandez, Evgueni Saldin, Liubov Samoylova, Matthias Scholz, Harald Sinn, Vivien Sleziona, Deming Shu, Takanori Tanikawa, Sergey Terentyev, Andrei Trebushinin, Thomas Tschentscher, Maurizio Vannoni, Torsten Wohlenberg, Mikhail Yakopov, Gianluca Geloni
The European XFEL is currently the only high-repetition rate hard X-ray free electron laser (FEL) facility in operation worldwide. We significantly improved its capabilities by installing a cascaded Hard X-ray Self-Seeding (HXRSS) system, composed of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b66daa8227a78fb9c614da7fb230fbbb
https://xfel.tind.io/record/3086
https://xfel.tind.io/record/3086
Autor:
Jacques Tinembart, Nicholas Sammut, Rachel Maria Avramidou, Anthony Beaumont, Marco Buzio, Christian Grech
Field markers in particle accelerators are used to provide a digital trigger when the magnetic field reaches a pre-set threshold. This paper describes the results of a test campaign performed on the extra low energy antiproton decelerator’s main be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4d6cc7ae036e3848c9db2beaa42e91c
https://infoscience.epfl.ch/record/262159
https://infoscience.epfl.ch/record/262159