LAURA: Lattice Architecture for a Unified Representation of Accelerators
LAURA (Lattice Architecture for a Unified Representation of Accelerators) is a python package for handling particle accelerator lattice data.
This package provides a standardized interface for interacting with objects representing elements in an accelerator lattice. The intention is to collate as much information as possible about each element, in order to achieve the following goals:
Representing a ground source of truth about a given particle accelerator lattice.
Providing a basis for producing configurable simulation lattice files for a range of codes.
Store auxiliary data – mechanical, survey, electrical, for example.
Provide a basic interface to the controls system for each element.
Warning
Architecture
Participation
We welcome contributions and suggestions from the community! LAURA 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
- laura.models package
- Submodules
- laura.models.RF module
- laura.models._functions module
- laura.models.baseModels module
- laura.models.control module
- laura.models.degauss module
- laura.models.diagnostic module
- laura.models.electrical module
- laura.models.element module
- laura.models.elementList module
- laura.models.exceptions module
- laura.models.laser module
- laura.models.lighting module
- laura.models.magnetic module
- laura.models.manufacturer module
- laura.models.physical module
- laura.models.shutter module
- laura.models.simulation module
- Module contents
Indices and tables
References
A. Valishev, S. Nagaitsev, V. Kashikhin, and V. Danilov. Ring for test of nonlinear integrable optics. Proceedings of IPAC 2011, New York, NY, USA, pages 1606–1608, 2011. URL: https://proceedings.jacow.org/PAC2011/papers/wep070.pdf.
MAD-X. https://cern.ch/madx. URL: https://cern.ch/madx.
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.
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.
S. Reiche. GENESIS 1.3: A fully 3D time-dependent FEL simulation code. Nucl. Instrum. Meth. A, 429(1):243, 1999. URL: https://www.sciencedirect.com/science/article/pii/S016890029900114X, doi:https://doi.org/10.1016/S0168-9002(99)00114-X.
OpenPMD. https://www.openpmd.org/. URL: https://www.openpmd.org/.