lambdapic


Namelambdapic JSON
Version 0.6.3 PyPI version JSON
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SummaryA Particle-in-Cell framework with dynamic behavior modification through callbacks
upload_time2025-08-05 07:23:45
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authorNone
requires_python>=3.10
licenseNone
keywords plasma physics strong field pic
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            # Introduction
<div style="text-align:center;">

![λPIC](lambdaPIC.svg)
</div>
λPIC is a callback-centric Particle-In-Cell framework.
It enables the customization of simulation behavior through callbacks at various stages, even when the modifications are unphysical.
The flexibility of λPIC makes it easy to implement plugins, allowing developers to extend functionality seamlessly without modifying the core simulation logic.

Visit the [documentation](https://lambdapic.readthedocs.io/) for installation and usage instructions.

## Core Classes
```mermaid
classDiagram
    Patches --> Patch : contains

    Patch --> ParticlesBase : contains
    Patch --> Fields : contains
    Patch --> PML : contains

    Patch <|-- Patch2D~Patch~
    Patch <|-- Patch3D~Patch~

    RadiationBase --> Patches : contains
    PairProductionBase --> Patches : contains
    CurrentDeposition --> Patches : contains
    PusherBase --> Patches : contains
    FieldInterpolation --> Patches : contains
    MaxwellSolver --> Patches : contains
    MPIManager --> Patches : contains

    Pydantic.BaseModel <|-- Species
    Species <|-- XXX~Species~
    Species <|-- Electron~Species~
    Species --> ParticlesBase : creates

    class Patch {
        index: int
        *_neighbor_index: int
    }

    class Patches {
        sync_particles()
        sync_guard_fields()
        sync_currents()
    }

    class ParticlesBase {
        x,y,z ...: NDArray[float]
        is_dead: NDArray[bool]
    }

    class Fields {
        ex, ey, ...: NDArray[float]
    }

    class Species {
        name, q, m, ...
        density: Callable
    }
```

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## Development Status

λPIC is currently in active development. The API may change without notice.

## License

This project is licensed under the GPL-3.0 License.

## Acknowledgments

This work was supported by the National Natural Science Foundation of China (NSFC) under Grant No. 12304384.

This project was inspired by and adapted elements from the [EPOCH](https://github.com/Warwick-Plasma/epoch) and the [Smilei](https://github.com/SmileiPIC/Smilei) projects.

            

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