IPAC2016 - List of Authors (De Maria, R.)

Paper	Title	Page
TUPMW015	Symplectic Tracking of Multi-Isotopic Heavy-Ion Beams in SixTrack	1450
	P.D. Hermes, R. Bruce, R. De Maria CERN, Geneva, Switzerland
	Funding: Work suppported by the Wolfgang Gentner Programme of the German BMBF The software SixTrack provides symplectic proton tracking over a large number of turns. The code is used for the tracking of beam halo particles and the simulation of their interaction with the collimators to study the efficiency of the LHC collimation system. Tracking simulations for heavy-ion beams require taking into account the mass to charge ratio of each particle because heavy ions can be subject to fragmentation at their passage through the collimators. In this paper we present the derivation of a Hamiltonian for multi-isotopic heavy-ion beams and symplectic tracking maps derived from it. The resulting tracking maps were implemented in the tracking software SixTrack. With this modification, SixTrack can be used to natively track heavy-ion beams of multiple isotopes through a magnetic accelerator lattice.
DOI •	reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-TUPMW015
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WEPOY044	Review of CPU and GPU Faddeeva Implementations	3090
	A. Oeftiger, R. De Maria, L. Deniau, K.S.B. Li, E. McIntosh, L. Moneta CERN, Geneva, Switzerland A. Aviral BITS Pilani, Pilani, India S. Hegglin ETH, Zurich, Switzerland A. Oeftiger EPFL, Lausanne, Switzerland
	Funding: CERN, Doctoral Studentship EPFL, Doctorate The Faddeeva error function is frequently used when computing electric fields generated by two-dimensional Gaussian charge distributions. Numeric evaluation of the Faddeeva function is particularly challenging since there is no single expansion that converges rapidly over the whole complex domain. Various algorithms exist, even in the recent literature there have been new proposals. The many different implementations in computer codes offer different trade-offs between speed and accuracy. We present an extensive benchmark of selected algorithms and implementations for accuracy, speed and memory footprint, both for CPU and GPU architectures.
DOI •	reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-WEPOY044
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Paper

Title

Page

Symplectic Tracking of Multi-Isotopic Heavy-Ion Beams in SixTrack

1450

P.D. Hermes, R. Bruce, R. De Maria
CERN, Geneva, Switzerland

Funding: Work suppported by the Wolfgang Gentner Programme of the German BMBF
The software SixTrack provides symplectic proton tracking over a large number of turns. The code is used for the tracking of beam halo particles and the simulation of their interaction with the collimators to study the efficiency of the LHC collimation system. Tracking simulations for heavy-ion beams require taking into account the mass to charge ratio of each particle because heavy ions can be subject to fragmentation at their passage through the collimators. In this paper we present the derivation of a Hamiltonian for multi-isotopic heavy-ion beams and symplectic tracking maps derived from it. The resulting tracking maps were implemented in the tracking software SixTrack. With this modification, SixTrack can be used to natively track heavy-ion beams of multiple isotopes through a magnetic accelerator lattice.

DOI •

reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-TUPMW015

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

WEPOY044

Review of CPU and GPU Faddeeva Implementations

3090

A. Oeftiger, R. De Maria, L. Deniau, K.S.B. Li, E. McIntosh, L. Moneta
CERN, Geneva, Switzerland
A. Aviral
BITS Pilani, Pilani, India
S. Hegglin
ETH, Zurich, Switzerland
A. Oeftiger
EPFL, Lausanne, Switzerland

Funding: CERN, Doctoral Studentship EPFL, Doctorate
The Faddeeva error function is frequently used when computing electric fields generated by two-dimensional Gaussian charge distributions. Numeric evaluation of the Faddeeva function is particularly challenging since there is no single expansion that converges rapidly over the whole complex domain. Various algorithms exist, even in the recent literature there have been new proposals. The many different implementations in computer codes offer different trade-offs between speed and accuracy. We present an extensive benchmark of selected algorithms and implementations for accuracy, speed and memory footprint, both for CPU and GPU architectures.

DOI •

reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-WEPOY044

Export •

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