Wikipedia

Accelerator physics codes

(Redirected from Methodical Accelerator Design)

A charged particle accelerator is a complex machine that takes elementary charged particles and accelerates them to very high energies. Accelerator physics is a field of physics encompassing all the aspects required to design and operate the equipment and to understand the resulting dynamics of the charged particles. There are software packages associated with each domain. The 1990 edition of the Los Alamos Accelerator Code Group's compendium[1] provides summaries of more than 200 codes. Certain codes are still in use today, although many are obsolete. Another index of existing and historical accelerator simulation codes is located at the CERN CARE/HHH website.[2]

Single particle dynamics codes

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For many applications it is sufficient to track a single particle through the relevant electric and magnetic fields. Old codes no longer maintained by their original authors or home institutions include: BETA,[3] AGS, ALIGN, COMFORT, DESIGN, DIMAD, HARMON, LEGO, LIAR, MAGIC, MARYLIE, PATRICIA, PETROS, RACETRACK, SYNCH,[4] TRANSPORT, TURTLE, and UAL. Some legacy codes are maintained by commercial organizations for academic, industrial and medical accelerator facilities that continue to use those codes. TRACE 3-D and TURTLE are among the historic codes that are commercially maintained.[5]

Major maintained codes include:

Single Particle Dynamics Spin Tracking Taylor Maps Weak-Strong Beam-Beam Interaction Electromagnetic Field Tracking Higher Energy Collective Effects Synchrotron Radiation Effects Radiation Tracking Wakefields Extensible Notes
Accelerator Toolbox (AT),[6] Yes Yes[7] No No No Yes No No No Yes
ASTRA[8] Yes No No No Yes Yes No No Yes No For space-charge simulations
BDSIM[9] Yes No No No Yes No No No No Yes For particle-matter simulations.
Bmad (contains PTC)[10] Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Reproduces PTC's unique beam line structures. Simulates X-rays.
COSY INFINITY[11] Yes Yes Yes No Yes No No No No Yes Arbitrary-order differential-algebraic transfer maps
DYNAC[12] Yes No No No No No No No No No
Elegant[13] Yes No No No Yes Yes Yes No Yes No
MAD8 and MAD-X (includes PTC)[14] Yes No Yes Yes No No Yes No No No
MAD-NG[14] Yes No Yes Yes No No Yes No No Yes Extensible, embeds LuaJIT
MERLIN++[15][16] Yes Yes No No No No No No Yes Yes Other: beam-matter interactions, sliced-macroparticle tracking
OCELOT[17] Yes No No No No Yes Yes Yes Yes Yes
OPA[18] Yes No No No No No No No No No
OPAL[19] Yes No Yes No Yes Yes No No Yes Yes runs on laptops and on x 10k cores.
PLACET[20] Yes No No No No Yes Yes No Yes Yes LINAC including wakefields simulations.
Propaga[21] Yes No No No No No No No No Yes
PTC[22] Yes Yes Yes Yes Yes No No No No Yes
SAD[23] Yes No No Yes No Yes Yes No Yes No
SAMM[24] Yes Yes No No No No No No No No
SixTrack[25] Yes No Yes Yes No No No No No No Can run on BOINC
Zgoubi[26][27] Yes Yes No No Yes No Yes No No Yes

Columns

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Spin Tracking
Tracking of a particle's spin.
Taylor Maps
Construction of Taylor series maps to high order that can be used for simulating particle motion and also can be used for such things as extracting single particle resonance strengths.
Weak-Strong Beam-Beam Interaction
Can simulate the beam-beam interaction with the simplification that one beam is essentially fixed in size. See below for a list of strong-strong interaction codes.
Electromagnetic Field Tracking
Can track (ray trace) a particle through arbitrary electromagnetic fields.
Higher Energy Collective effects
The interactions between the particles in the beam can have important effects on the behavior, control and dynamics. Collective effects take different forms from Intrabeam Scattering (IBS) which is a direct particle-particle interaction to wakefields which are mediated by the vacuum chamber wall of the machine the particles are traveling in. In general, the effect of direct particle-particle interactions is less with higher energy particle beams. At very low energies, space charge has a large effect on a particle beam and thus becomes hard to calculate. See below for a list of programs that can handle low energy space charge forces.
Synchrotron radiation effects

Can simulate the effect of synchrotron radiation emission on the particles being tracked.

Radiation Tracking
Ability to track the synchrotron radiation (mainly X-rays) produced by the acceleration of charged particles.

This is not the same as simulating the effect of synchrotron radiation emission on the particles being tracked.

Wakefields
The electro-magnetic interaction between the beam and the vacuum chamber wall enclosing the beam are known as wakefields. Wakefields produce forces that affect the trajectory of the particles of the beam and can potentially destabilize the trajectories.
Extensible
Open source and object oriented coding to make it relatively easy to extend the capabilities.

Space charge codes

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The self interaction (e.g. space charge) of the charged particle beam can cause growth of the beam, such as with bunch lengthening, or intrabeam scattering. Additionally, space charge effects may cause instabilities and associated beam loss. Typically, at relatively low energies (roughly for energies where the relativistic gamma factor is less than 10 or so), the Poisson equation is solved at intervals during the tracking using particle-in-cell algorithms. Space charge effects lessen at higher energies so at higher energies the space charge effects may be modeled using simpler algorithms that are computationally much faster than the algorithms used at lower energies. Codes that handle low energy space charge effects include:

At higher energies, space charge effects include Touschek scattering and coherent synchrotron radiation (CSR). Codes that handle higher energy space charge include:

  • Bmad
  • ELEGANT
  • MaryLie
  • SAD

"Strong-strong" beam-beam effects codes

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When two beams collide, the electromagnetic field of one beam will then have strong effects on the other one, called beam-beam effects. So called "weak-strong" simulations model one beam (called the "strong" beam since it affects the other beam) as a fixed distribution (typically a Gaussian distribution) which interacts with the particles of the other "weak" beam. This greatly simplifies the simulation. A full "strong-strong" simulation is more complicated and takes more simulation time. Strong-strong codes include

Impedance computation codes

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An important class of collective effects may be summarized in terms of the beams response to an "impedance". An important job is thus the computation of this impedance for the machine. Codes for this computation include

Magnet and other hardware-modeling codes

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To control the charged particle beam, appropriate electric and magnetic fields must be created. There are software packages to help in the design and understanding of the magnets, RF cavities, and other elements that create these fields. Codes include

Lattice description and data interchange issues

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Given the variety of modeling tasks, there is not one common data format that has developed. For describing the layout of an accelerator and the corresponding elements, one uses a so-called "lattice file". There have been numerous attempts at unifying the lattice file formats used in different codes. One unification attempt is the Accelerator Markup Language, and the Universal Accelerator Parser.[52] Another attempt at a unified approach to accelerator codes is the UAL or Universal Accelerator Library.[53] As of 2023 neither of these formats are maintained.

The file formats used in MAD may be the most common, with translation routines available to convert to an input form needed for a different code. Associated with the Elegant code is a data format called SDDS, with an associated suite of tools. If one uses a Matlab-based code, such as Accelerator Toolbox, one has available all the tools within Matlab.

For the interchange of particle positions and electromagnetic fields, the OpenPMD[54] standard defines a format which can then be implemented with a file format like HDF5.

Codes in applications of particle accelerators

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There are many applications of particle accelerators. For example, two important applications are elementary particle physics and synchrotron radiation production. When performing a modeling task for any accelerator operation, the results of charged particle beam dynamics simulations must feed into the associated application. Thus, for a full simulation, one must include the codes in associated applications. For particle physics, the simulation may be continued in a detector with a code such as Geant4.

For a synchrotron radiation facility, for example, the electron beam produces an x-ray beam that then travels down a beamline before reaching the experiment. Thus, the electron beam modeling software must interface with the x-ray optics modelling software such as SRW,[55] Shadow,[56] McXTrace,[57] or Spectra.[58] Bmad[10] can model both X-rays and charged particle beams. The x-rays are used in an experiment which may be modeled and analyzed with various software, such as the DAWN science platform.[59] OCELOT[60] also includes both synchrotron radiation calculation and x-ray propagation models.

Industrial and medical accelerators represent another area of important applications. A 2013 survey estimated that there were about 27,000 industrial accelerators and another 14,000 medical accelerators world wide,[61] and those numbers have continued to increase since that time.[62] Codes used at those facilities vary considerably and often include a mix of traditional codes and custom codes developed for specific applications. The Advanced Orbit Code (AOC)[63] developed at Ion Beam Applications is an example.

See also

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References

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  1. ^ Computer Codes for Particle Accelerator Design and Analysis: A Compendium, Second Edition, Helen Stokes Deaven and Kwok Chi Dominic Chen, Los Alamos National Laboratory report number LA-UR-90-1766, 290 pages (1990).
  2. ^ the CERN CARE/HHH website Archived December 13, 2012, at the Wayback Machine
  3. ^ "user's guide" (PDF). Archived from the original (PDF) on 2018-07-04. Retrieved 2013-11-16.
  4. ^ libtracy at sourceforge.net
  5. ^ AccelSoft Inc. website
  6. ^ ATcollab website
  7. ^ See https://github.com/carmignani/festa
  8. ^ a b ASTRA Homepage
  9. ^ BDSIM Homepage
  10. ^ a b Bmad home page
  11. ^ "COSY".
  12. ^ "DYNAC".
  13. ^ ELEGANT, a Flexible SDDS Compliant Code for Accelerator Simulation software
  14. ^ a b "MAD - Methodical Accelerator Design". mad@cern.ch. Retrieved 2020-09-09.
  15. ^ Appleby, Robert; Barlow, Roger J.; Bungau, Adriana; Fallon, James; Kruecker, Dirk; Molson, James; Rafique, Haroon; Rowan, Scott; Serluca, Maurizio; Sjøbæk, Kyrre Ness; Toader, Adina; Tygier, Sam; Walker, Nick; Wolski, Andy (2019-03-03). "Github Merlin-Collaboration/Merlin". doi:10.5281/zenodo.2598428. {{cite journal}}: Cite journal requires |journal= (help)
  16. ^ Appleby, Robert; Barlow, Roger J.; Bungau, Adriana; Fallon, James; Kruecker, Dirk; Molson, James; Rafique, Haroon; Rowan, Scott; Serluca, Maurizio; Sjøbæk, Kyrre Ness; Toader, Adina; Tygier, Sam; Walker, Nick; Wolski, Andy (2019). "Merlin++". doi:10.5281/zenodo.2598428. {{cite journal}}: Cite journal requires |journal= (help)
  17. ^ OCELOT collaboration on GitHub
  18. ^ OPA website
  19. ^ "Home · Wiki · OPAL / SRC".
  20. ^ PLACET manual
  21. ^ Propaga GitHub repository
  22. ^ "GitHub - jceepf/fpp_book". GitHub. 2019-02-06.
  23. ^ SAD home page at kek.jp
  24. ^ SAMM, another Matlab based tracking code, at liv.ac.uk
  25. ^ SixTrack home page at cern.ch
  26. ^ Zgoubi home page at sourceforge.net
  27. ^ Zgoubi Users' Guide
  28. ^ PIC solver at cst.com
  29. ^ General Particle Tracer (GPT) from Pulsar Physics
  30. ^ "IMPACT homepage at Berkeley Lab". Archived from the original on 2015-04-16. Retrieved 2015-04-09.
  31. ^ ImpactX: an s-based beam dynamics code including space charge effects from Berkeley Lab
  32. ^ THE MULTIPARTICLE TRACKING CODES SBTRACK AND MBTRACK. R. Nagaoka, PAC '09 paper here
  33. ^ ORBIT home page at ornl.gov
  34. ^ PyORBIT Collaboration
  35. ^ OPAL homepage
  36. ^ PyHEADTAIL wiki
  37. ^ Synergia home page at fnal.gov
  38. ^ TraceWin at CEA Saclay
  39. ^ TRANFT user's manual, BNL--77074-2006-IR http://www.osti.gov/scitech/biblio/896444
  40. ^ a b c VSim at Tech-X
  41. ^ Warp wiki
  42. ^ "GUINEA-PIG Twiki". twiki.cern.ch. Archived from the original on 2022-01-20. Retrieved 2020-07-03.
  43. ^ "BeamBeam3D GitHub Repo"."J. Qiang, M. Furman, and R. Ryne, "A parallel particle-in-cell model for beam–beam interaction in high energy ring colliders"". J. Comp. Phys. 2004. doi:10.1016/j.jcp.2004.01.008.
  44. ^ ABCI home page at kek.jp
  45. ^ a b ACE3P at slac.stanford.gov
  46. ^ CST Archived 2018-07-29 at the Wayback Machine, Computer Simulation Technology at cst.com
  47. ^ GdfidL, Gitter drueber, fertig ist die Laube at gdfidl.de
  48. ^ T. Weiland, DESY
  49. ^ COMSOL home page at comsol.com
  50. ^ CST Electromagnetic Studio at cst.com[permanent dead link‍]
  51. ^ "OPERA at magnet-design-software.com". Archived from the original on 2013-12-24. Retrieved 2013-11-15.
  52. ^ Description of AML and UAP at cornell.edu
  53. ^ See references by N. Malitsky and Talman such as this manual from 2002.
  54. ^ OpenPMD GitHub repository.
  55. ^ SRW home page at esrf.eu
  56. ^ Shadow home page at esrf.eu
  57. ^ McXTrace home page at mcxtrace.org
  58. ^ "Spectra home page at riken.go.jp". Archived from the original on 2013-08-27. Retrieved 2013-11-15.
  59. ^ DAWN science platform website
  60. ^ "An Introduction to Ocelot". GitHub. 16 December 2021.
  61. ^ R. W. Hamm and M. E. Hamm, Industrial Accelerators
  62. ^ session on accelerator business opportunities at IPAC-17
  63. ^ AOC, A Beam Dynamics Code for Medical and Industrial Accelerators
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