SIMBA - Simulations for Integrated Modeling of Beams in Accelerators
SIMBA is a python package for performing start-to-end (S2E) simulations of linear particle accelerators.
It provides a wrapper for several well-known particle tracking codes:
Setup
Warning
Participation
We welcome contributions and suggestions from the community! SIMBA is currently under active development,
and as such certain features may be missing or not working as expected. If you find any issues, please
raise it here.
We are also happy to help with installation and setting up your accelerator lattice.
API
- Framework
- Framework Objects
- simba.Codes package
- simba.Modules package
- Subpackages
- Submodules
- simba.Modules.MathParser module
- simba.Modules.SDDSFile module
- simba.Modules.constants module
- simba.Modules.gdf_beam module
- simba.Modules.gdf_emit module
- simba.Modules.id_number module
- simba.Modules.id_number_server module
- simba.Modules.merge_two_dicts module
- simba.Modules.pmd_units module
- simba.Modules.symmlinks module
- simba.Modules.units module
- Module contents
Indices and tables
References
K. Floettmann. ASTRA. https://www.desy.de/ mpyflo/. URL: https://www.desy.de/~mpyflo/.
Pulsar Physics. General Particle Tracer. www.pulsar.nl/gpt. URL: http://www.pulsar.nl/gpt.
M. Borland. Elegant: A flexible SDDS-compliant code for accelerator simulation. Proceedings of ICAP'00, Darmstadt, Germany, 2000. URL: https://www1.aps.anl.gov/icms_files/lsnotes/files/APS_1418218.pdf.
M. Dohlus and T. Limberg. CSRtrack : Faster Calculation of 3-D CSR Effects. Proceedings of FEL 2004, Trieste, Italy, pages MOCOS05, 2004. URL: https://accelconf.web.cern.ch/f04/papers/MOCOS05/MOCOS05.PDF.
I. Agapov, G. Geloni, S. Tomin, and I. Zagorodnov. Ocelot: A software framework for synchrotron light source and FEL studies. Nucl. Instrum. Meth. A, 768:151–156, 2014. URL: https://www.sciencedirect.com/science/article/pii/S0168900214010882, doi:https://doi.org/10.1016/j.nima.2014.09.057.
J. Kaiser, C. Xu, A. Eichler, and A. Santamaria Garcia. Bridging the gap between machine learning and particle accelerator physics with high-speed, differentiable simulations. Phys. Rev. Accel. Beams, 27:054601, May 2024. URL: https://link.aps.org/doi/10.1103/PhysRevAccelBeams.27.054601, doi:10.1103/PhysRevAccelBeams.27.054601.
G. Iadarola, A. Abramov, X. Buffat, R. De Maria, D. Demetriadou, L. Deniau, P.D. Hermes, P. Kicsiny, P. M. Kruyt, A. Latina, S. Łopaciuk, L. Mether, K. Paraschou, T. Pieloni, G. Sterbini, F.F. Van der Veken, P. Belanger, D. Di Croce, M. Seidel, and L. van Riesen-Haupt. Xsuite: an integrated beam physics simulation framework. Proceedings of ICFA 68th Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness Hadron Beams, pages TUA2I1, 2023. URL: https://proceedings.jacow.org/hb2023/papers/tua2i1.pdf, doi:10.18429/JACoW-HB2023-TUA2I1.
A Ferran Pousa, R Assmann, and A Martinez de la Ossa. Wake-t: a fast particle tracking code for plasma-based accelerators. Journal of Physics: Conference Series, 1350(1):012056, Nov 2019. URL: https://dx.doi.org/10.1088/1742-6596/1350/1/012056, doi:10.1088/1742-6596/1350/1/012056.
D. Angal-Kalinin, A. Bainbridge, A. D. Brynes, R. K. Buckley, S. R. Buckley, G. C. Burt, R. J. Cash, H. M. Castaneda Cortes, D. Christie, J. A. Clarke, R. Clarke, L. S. Cowie, P. A. Corlett, G. Cox, K. D. Dumbell, D. J. Dunning, B. D. Fell, K. Gleave, P. Goudket, A. R. Goulden, S. A. Griffiths, M. D. Hancock, A. Hannah, T. Hartnett, P. W. Heath, J. R. Henderson, C. Hill, P. Hindley, C. Hodgkinson, P. Hornickel, F. Jackson, J. K. Jones, T. J. Jones, N. Joshi, M. King, S. H. Kinder, N. J. Knowles, H. Kockelbergh, K. Marinov, S. L. Mathisen, J. W. McKenzie, K. J. Middleman, B. L. Militsyn, A. Moss, B. D. Muratori, T. C. Q. Noakes, W. Okell, A. Oates, T. H. Pacey, V. V. Paramanov, M. D. Roper, Y. Saveliev, D. J. Scott, B. J. A. Shepherd, R. J. Smith, W. Smith, E. W. Snedden, N. R. Thompson, C. Tollervey, R. Valizadeh, A. Vick, D. A. Walsh, T. Weston, A. E. Wheelhouse, P. H. Williams, J. T. G. Wilson, and A. Wolski. Design, specifications, and first beam measurements of the compact linear accelerator for research and applications front end. Phys. Rev. Accel. Beams, 23:044801, Apr 2020. URL: https://link.aps.org/doi/10.1103/PhysRevAccelBeams.23.044801, doi:10.1103/PhysRevAccelBeams.23.044801.
E. W. Snedden, D. Angal-Kalinin, A. R. Bainbridge, A. D. Brynes, S. R. Buckley, D. J. Dunning, J. R. Henderson, J. K. Jones, K. J. Middleman, T. J. Overton, T. H. Pacey, A. E. Pollard, Y. M. Saveliev, B. J. A. Shepherd, P. H. Williams, M. I. Colling, B. D. Fell, and G. Marshall. Specification and design for full energy beam exploitation of the compact linear accelerator for research and applications. Phys. Rev. Accel. Beams, 27:041602, Apr 2024. URL: https://link.aps.org/doi/10.1103/PhysRevAccelBeams.27.041602, doi:10.1103/PhysRevAccelBeams.27.041602.