TY  - CONF
AU  - Smith, S.J.
AU  - Biedron, S.
AU  - Bolin, T.B.
AU  - Carlsten, B.E.
AU  - Cary, J.R.
AU  - Cheatham, D.M.
AU  - Krawczyk, F.L.
AU  - Sosa Guitron, S.I.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - Exploration of High-Gradient Structures for 4th Generation Light Sources
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - As the energy, scale and therefore the cost of large-scale accelerator projects, such as X-ray free-electron lasers (XFELs) increases, new technologies must be developed in order to minimize costs and maximize efficiency wherever possible. One obvious way to reduce costs is to reduce the length of accelerating sections by utilizing higher accelerating gradients. Here we present the results of a study into the various structure options for FEL linacs, contrasting different frequencies, geometries and operating modes. An investigation into the possibility of using cryo-cooled travelling wave (TW) electron structures which allow for higher gradient operation by exploiting the anomalous skin effect is also detailed. Finally, we give simulation results from a number of commercial codes including VSim 9, for a hypothetical TW high gradient C-band structure design employing cryo-cooled technology. Breakdown effects, pulsed heating, tolerances, efficiencies and potential rf sources are also explored, all within the framework of typical FELs and their requirements.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1155
EP  - 1157
KW  - cavity
KW  - FEL
KW  - linac
KW  - cryogenics
KW  - electron
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-MOPTS117
UR  - http://jacow.org/ipac2019/papers/mopts117.pdf
ER  - 

TY  - CONF
AU  - Smith, S.J.
AU  - Bethoney, P.G.
AU  - Biedron, S.
AU  - Bolin, T.B.
AU  - Cary, J.R.
AU  - Cheatham, D.M.
AU  - Curtin, M.S.
AU  - Elfrgani, A.M.N.
AU  - Hartman, B.
AU  - Pressnall, T.
AU  - Schamiloglu, E.
AU  - Sosa Guitron, S.I.
AU  - Swenson, D.A.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - 3D Electromagnetic/PIC Simulations for a Novel RFQ/RFI Linac Design
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - Using the commercial software VSim 9, a highly parallelized particle-in-cell/finite difference time-domain modeling code, the performance of an existing novel RFQ/RFI linac structure designed by Ion Linac Systems is evaluated. This effort is aimed towards having an up to date full 3D start-to-end simulation of the accelerator system, which does not exist currently. The structure used is an efficient 200-MHz, 2.5-MeV, CW-RFQ/RFI proton linac. The methods employed in VSim for modelling and parameter setup are presented, along with the simulation procedures for both the Electromagnetic and PIC solver. The important figures of merit for the structure are given including the Q-factor, field distributions, shunt impedance, and important beam properties. These are then contrasted with the initial design values and analytical calculations.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1158
EP  - 1160
KW  - rfq
KW  - linac
KW  - simulation
KW  - neutron
KW  - operation
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-MOPTS118
UR  - http://jacow.org/ipac2019/papers/mopts118.pdf
ER  - 

TY  - CONF
AU  - Biedron, S.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - Adding Data Science and More Intelligence to Our Accelerator Toolbox
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - Requirements for recent accelerators are becoming more and more stringent and sophisticated machine tuning is necessary. A large amount of data is acquired from accelerator components as an assistant of machine tuning. It is hard for operators to utilize all the accelerator data for machine tuning. Therefore, machine learning, data mining and big data handling are recently applied to accelerators. For instance, Bayesian optimization is used for maximizing a target performance, a clustering algorithm is used for anomaly detection, and hidden correlation finding is utilized for discovering new aspects of a machine. This talk reviews recent progress of machine learning applications and big data handling in accelerators.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1191
EP  - 1197
KW  - controls
KW  - network
KW  - electron
KW  - laser
KW  - simulation
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-TUZPLM1
UR  - http://jacow.org/ipac2019/papers/tuzplm1.pdf
ER  -