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HITEN - Computational Toolkit for the Circular Restricted Three-Body Problem

Project description

HITEN

HITEN - Computational Toolkit for the Circular Restricted Three-Body Problem

PyPI version Docs

Overview

HITEN is a research-oriented Python library that provides an extensible implementation of high-order analytical and numerical techniques for the circular restricted three-body problem (CR3BP).

Installation

HITEN is published on PyPI. A recent Python version (3.9+) is required.

py -m pip install hiten

Quickstart

Full documentation is available here.

Compute a halo orbit around Earth-Moon L1 and plot a branch of its stable manifold:

from hiten import System

system = System.from_bodies("earth", "moon")
l1 = system.get_libration_point(1)

orbit = l1.create_orbit("halo", amplitude_z=0.2, zenith="southern")
orbit.correct()
orbit.propagate(steps=1000)

manifold = orbit.manifold(stable=True, direction="positive")
manifold.compute()
manifold.plot()

Examples

  1. Parameterisation of periodic orbits and their invariant manifolds

    The toolkit constructs periodic solutions such as halo orbits and computes their stable and unstable manifolds.

    from hiten import System
    
    system = System.from_bodies("earth", "moon")
    l1 = system.get_libration_point(1)
    
    orbit = l1.create_orbit("halo", amplitude_z=0.2, zenith="southern")
    orbit.correct()
    orbit.propagate(steps=1000)
    
    manifold = orbit.manifold(stable=True, direction="positive")
    manifold.compute()
    manifold.plot()
    

    Halo orbit stable manifold

    Figure 1 - Stable manifold of an Earth-Moon (L_1) halo orbit.

    Knowing the dynamics of the center manifold, initial conditions for vertical orbits can be computed and associated manifolds created. These reveal natural transport channels that can be exploited for low-energy mission design.

    from hiten import System, VerticalOrbit
    
    system = System.from_bodies("earth", "moon")
    l1 = system.get_libration_point(1)
    
    cm = l1.get_center_manifold(degree=6)
    cm.compute()
    
    initial_state = cm.to_synodic([0.0, 0.0], 0.6, "q3")
    
    orbit = VerticalOrbit(l1, initial_state=initial_state)
    orbit.correct()
    orbit.propagate(steps=1000)
    
    manifold = orbit.manifold(stable=True, direction="positive")
    manifold.compute()
    manifold.plot()
    

    Vertical orbit stable manifold

    Figure 2 - Stable manifold of an Earth-Moon (L_1) vertical orbit.

  2. Generating families of periodic orbits

    The toolkit can generate families of periodic orbits by continuation.

    from hiten import System
    from hiten.algorithms.continuation.options import OrbitContinuationOptions
    from hiten.algorithms.types.states import SynodicState
    from hiten.system.family import OrbitFamily
    
    system = System.from_bodies("earth", "moon")
    l1 = system.get_libration_point(1)
    
    halo_seed = l1.create_orbit('halo', amplitude_z=0.2, zenith='southern')
    halo_seed.correct()
    halo_seed.propagate()
    
    options = OrbitContinuationOptions(
       target=(
          [halo_seed.initial_state[SynodicState.Z]], 
          [halo_seed.initial_state[SynodicState.Z] + 2.0]
       ),
       step=((0.02,),),
       max_members=100,
    )
    
    result = halo_seed.generate(options)
    
    family = OrbitFamily.from_result(result)
    family.propagate()
    family.plot()
    

    Halo orbit family

    Figure 3 - Family of Earth-Moon (L_1) Halo orbits.

  3. Generating Poincare maps

    The toolkit can generate Poincare maps for arbitrary sections. For example, the centre manifold of the Earth-Moon (L_1) libration point:

    from hiten import System
    
    system = System.from_bodies("earth", "moon")
    l1 = system.get_libration_point(1)
    
    cm = l1.get_center_manifold(degree=6)
    cm.compute()
    
    pm = cm.poincare_map(energy=0.7)
    pm.compute(section_coord="p3")
    pm.plot(axes=("p2", "q3"))
    

    Poincare map

    Figure 4 - Poincare map of the centre manifold of the Earth-Moon (L_1) libration point using the (q_2=0) section.

    Or the synodic section of a vertical orbit manifold:

    from hiten import System, SynodicMap, VerticalOrbit
    
    system = System.from_bodies("earth", "moon")
    l_point = system.get_libration_point(1)
    
    cm = l_point.get_center_manifold(degree=6)
    cm.compute()
    
    ic_seed = cm.to_synodic([0.0, 0.0], 0.6, "q3") # Good initial guess from CM
    
    orbit = VerticalOrbit(l_point, initial_state=ic_seed)
    orbit.correct()
    orbit.propagate(steps=1000)
    
    manifold = orbit.manifold(stable=True, direction="positive")
    manifold.compute(step=0.005)
    manifold.plot()
    
    synodic_map = SynodicMap(manifold)
    synodic_map.compute(
       section_axis="y",
       section_offset=0.0,
       plane_coords=("x", "z"),
       direction=-1
    )
    synodic_map.plot()
    

    Synodic map

    Figure 5 - Synodic map of the stable manifold of an Earth-Moon (L_1) vertical orbit.

  4. Detecting heteroclinic connections

    The toolkit can detect heteroclinic connections between two manifolds.

     from hiten import System
     from hiten.algorithms.connections import ConnectionPipeline
     from hiten.algorithms.connections.config import ConnectionConfig
     from hiten.algorithms.connections.options import ConnectionOptions
     from hiten.algorithms.poincare import SynodicMapConfig
    
     system = System.from_bodies("earth", "moon")
     mu = system.mu
    
     l1 = system.get_libration_point(1)
     l2 = system.get_libration_point(2)
    
     halo_l1 = l1.create_orbit('halo', amplitude_z=0.5, zenith='southern')
     halo_l1.correct()
     halo_l1.propagate()
    
     halo_l2 = l2.create_orbit('halo', amplitude_z=0.3663368, zenith='northern')
     halo_l2.correct()
     halo_l2.propagate()
    
     manifold_l1 = halo_l1.manifold(stable=True, direction='positive')
     manifold_l1.compute(integration_fraction=0.9, step=0.005)
    
     manifold_l2 = halo_l2.manifold(stable=False, direction='negative')
     manifold_l2.compute(integration_fraction=1.0, step=0.005)
    
     section_cfg = SynodicMapConfig(
         section_axis="x",
         section_offset=1 - mu,
         plane_coords=("y", "z"),
     )
    
     config = ConnectionConfig(
         section=section_cfg,
         direction=-1,
     )
    
     options = ConnectionOptions(
         delta_v_tol=1,
         ballistic_tol=1e-8,
         eps2d=1e-3,
     )
     
     conn = ConnectionPipeline.with_default_engine(config=config)
    
     result = conn.solve(manifold_l1, manifold_l2, options=options)
    
     print(result)
    
     conn.plot(dark_mode=True)
    
     conn.plot_connection(dark_mode=True)
    

    Heteroclinic connection

    Figure 6 - Heteroclinic connection between the stable manifold of an Earth-Moon (L_1) halo orbit and the unstable manifold of an Earth-Moon (L_2) halo orbit.

    We can also plot the trajectories making up the connection:

    Heteroclinic connection trajectories

    Figure 7 - One of the detected connections.

  5. Generating invariant tori

    Hiten can generate invariant tori for periodic orbits.

    from hiten import System, InvariantTori
    
     system = System.from_bodies("earth", "moon")
     l1 = system.get_libration_point(1)
    
     orbit = l1.create_orbit('halo', amplitude_z=0.3, zenith='southern')
     orbit.correct()
     orbit.propagate(steps=1000)
    
     torus = InvariantTori(orbit)
     torus.compute(epsilon=1e-2, n_theta1=512, n_theta2=512)
     torus.plot()
    

    Invariant tori

    Figure 7 - Invariant torus of an Earth-Moon (L_1) quasi-halo orbit.

Run the examples

Example scripts are in the examples directory. From the project root:

py -m pip install -e .
python examples\periodic_orbits.py
python examples\orbit_manifold.py
python examples\orbit_family.py
python examples\poincare_map.py
python examples\synodic_map.py
python examples\heteroclinic_connection.py
python examples\invariant_tori.py
python examples\center_manifold.py

Contributing

Issues and pull requests are welcome. For local development:

py -m pip install -e .[dev]
python -m pytest -q

License

This project is licensed under the terms of the MIT License. See LICENSE.

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