IPAC2019 - List of Authors (Appel, S.)

Paper	Title	Page
MOPTS020	Status of the FAIR Proton LINAC	889
	C.M. Kleffner, S. Appel, R. Berezov, J. Fils, P. Forck, P. Gerhard, M. Kaiser, K. Knie, A. Krämer, C. Mühle, S. Puetz, A. Schnase, G. Schreiber, A. Seibel, T. Sieber, V. Srinivasan, J. Trüller, W. Vinzenz, M. Vossberg, C. Will GSI, Darmstadt, Germany H. Hähnel, U. Ratzinger, M. Schuett, M. Syha IAP, Frankfurt am Main, Germany
	For the production of Antiproton beams with sufficient intensities, a dedicated high-intensity 325 MHz Proton linac is currently under construction. The Proton linac shall deliver a beam current of up to 70 mA with an energy of 68 MeV for injection into SIS18. The source is designed for the generation of 100 mA beams. The Low-Energy Beam Transport line (LEBT) contains two magnetic solenoid lenses enclosing a diagnostics chamber, a beam chopper and a beam conus. A ladder 4-Rod RFQ and six normal conducting crossbar cavities of CCH and CH type arranged in two sections accelerate the beam to the final energy of 68 MeV. The technical design of the DTL CH cavities are presented and the commissioning measurements of the ion source are described. The construction and the procurement progress, the design and testing results of the key hardware are presented.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-MOPTS020
About •	paper received ※ 14 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPMP005	Beam Line Optimization Using Derivative-Free Algorithms	2307
	S. Appel, S. Reimann GSI, Darmstadt, Germany
	The present study focuses on the beam line optimization from the heavy-ion synchrotron SIS18 to the HADES experiment. BOBYQA (Bound Optimization BY Quadratic Approximation) solves bound constrained optimization problems without using derivatives of the objective function. The Bayesian optimization is an other strategy for global optimization of costly, noisy functions without using derivatives. A python programming interface to MADX allow the use of the python implementation of BOBYQA and Bayesian method. This gave the possibility to use tracking simulation with MADX to determine the loss budget for each lattice setting during the optimization and compare both optimization methods.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPMP005
About •	paper received ※ 29 April 2019 paper accepted ※ 21 May 2019 issue date ※ 21 June 2019
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Status of the FAIR Proton LINAC

889

C.M. Kleffner, S. Appel, R. Berezov, J. Fils, P. Forck, P. Gerhard, M. Kaiser, K. Knie, A. Krämer, C. Mühle, S. Puetz, A. Schnase, G. Schreiber, A. Seibel, T. Sieber, V. Srinivasan, J. Trüller, W. Vinzenz, M. Vossberg, C. Will
GSI, Darmstadt, Germany
H. Hähnel, U. Ratzinger, M. Schuett, M. Syha
IAP, Frankfurt am Main, Germany

For the production of Antiproton beams with sufficient intensities, a dedicated high-intensity 325 MHz Proton linac is currently under construction. The Proton linac shall deliver a beam current of up to 70 mA with an energy of 68 MeV for injection into SIS18. The source is designed for the generation of 100 mA beams. The Low-Energy Beam Transport line (LEBT) contains two magnetic solenoid lenses enclosing a diagnostics chamber, a beam chopper and a beam conus. A ladder 4-Rod RFQ and six normal conducting crossbar cavities of CCH and CH type arranged in two sections accelerate the beam to the final energy of 68 MeV. The technical design of the DTL CH cavities are presented and the commissioning measurements of the ion source are described. The construction and the procurement progress, the design and testing results of the key hardware are presented.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-MOPTS020

About •

paper received ※ 14 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPMP005

Beam Line Optimization Using Derivative-Free Algorithms

2307

S. Appel, S. Reimann
GSI, Darmstadt, Germany

The present study focuses on the beam line optimization from the heavy-ion synchrotron SIS18 to the HADES experiment. BOBYQA (Bound Optimization BY Quadratic Approximation) solves bound constrained optimization problems without using derivatives of the objective function. The Bayesian optimization is an other strategy for global optimization of costly, noisy functions without using derivatives. A python programming interface to MADX allow the use of the python implementation of BOBYQA and Bayesian method. This gave the possibility to use tracking simulation with MADX to determine the loss budget for each lattice setting during the optimization and compare both optimization methods.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPMP005

About •

paper received ※ 29 April 2019 paper accepted ※ 21 May 2019 issue date ※ 21 June 2019

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)