Skip to main content

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(max_attempts=25)
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(max_attempts=25)
    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=10)
    cm.compute()
    
    initial_state = cm.to_synodic(poincare_point=[0.0, 0.0], energy=0.6, section_coord="q3")
    
    orbit = VerticalOrbit(l1, initial_state=initial_state)
    orbit.correct(max_attempts=100)
    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, OrbitFamily
    from hiten.algorithms import ContinuationPipeline
    from hiten.algorithms.types.states import SynodicState
    from hiten.algorithms.continuation.config import _OrbitContinuationConfig
    
    num_orbits = 50
    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(max_attempts=25, max_delta=1e-3)
    
    current_z = halo_seed.initial_state[SynodicState.Z]  # 0 for planar Lyapunov halo_seed
    target_z = current_z + 5.0   # introduce out-of-plane Z
    step_z = (target_z - current_z) / (num_orbits - 1)
    
    config= _OrbitContinuationConfig(
       target=([current_z], [target_z]),
       step=((step_z),),
       state=(SynodicState.Z,),
       max_members=50,
       extra_params=dict(max_attempts=50, tol=1e-12),
       stepper="secant",
    )
    
    state_parameter = ContinuationPipeline.with_default_engine(config=config)
    
    result = state_parameter.generate(halo_seed)
    
    logger.info(f"Generated {len(result.family)} orbits (success rate {result.success_rate:.2%})")
    
    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=12)
    cm.compute()
    
    pm = cm.poincare_map(energy=0.7, section_coord="q2", n_seeds=50, n_iter=100, seed_strategy="axis_aligned")
    pm.compute()
    pm.plot()
    

    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, VerticalOrbit
    from hiten.algorithms import SynodicMap, SynodicMapConfig
    
    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(max_attempts=100, finite_difference=True)
    orbit.propagate(steps=1000)
    
    manifold = orbit.manifold(stable=True, direction="positive")
    manifold.compute(step=0.005)
    manifold.plot()
    
    section_cfg = SynodicMapConfig(
       section_axis="y",
       section_offset=0.0,
       plane_coords=("x", "z"),
       interp_kind="cubic",
       segment_refine=30,
       newton_max_iter=10,
    )
    synodic_map = SynodicMap(section_cfg)
    synodic_map.from_manifold(manifold)
    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.

     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"),
         interp_kind="cubic",
         segment_refine=30,
         tol_on_surface=1e-9,
         dedup_time_tol=1e-9,
         dedup_point_tol=1e-9,
         max_hits_per_traj=None,
         n_workers=None,
     )
    
     # Create unified configuration with all parameters in one object
     config = _ConnectionConfig(
         section=section_cfg,        # Synodic section configuration
         direction=-1,                # Crossing direction (None = both directions)
         delta_v_tol=1,             # Maximum Delta-V tolerance
         ballistic_tol=1e-8,        # Threshold for ballistic classification
         eps2d=1e-3,                # 2D pairing radius
     )
     
     # Create connection using the factory method with unified config
     conn = ConnectionPipeline.with_default_engine(config=config)
    
     result = conn.solve(manifold_l1, manifold_l2)
    
     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
    from hiten import 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(max_attempts=25)
     orbit.propagate(steps=1000)
    
     torus = InvariantTori(orbit)
     torus.compute(epsilon=1e-2, n_theta1=256, n_theta2=256)
     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_family.py
python examples\synodic_map.py
python examples\heteroclinic_connection.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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hiten-0.5.1.tar.gz (2.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hiten-0.5.1-py3-none-any.whl (534.0 kB view details)

Uploaded Python 3

File details

Details for the file hiten-0.5.1.tar.gz.

File metadata

  • Download URL: hiten-0.5.1.tar.gz
  • Upload date:
  • Size: 2.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hiten-0.5.1.tar.gz
Algorithm Hash digest
SHA256 f8d6289f63dcdb3fcfd250bee59b32b588e35a69a6f9fac08a5b6446525a2398
MD5 32b2f31ab1b5dd552323677b5b8af872
BLAKE2b-256 92905a69638658c9c9c2149604f05fcba524a79f4b20994e3210758f7e827633

See more details on using hashes here.

Provenance

The following attestation bundles were made for hiten-0.5.1.tar.gz:

Publisher: python-publish.yml on iamgadmarconi/hiten

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file hiten-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: hiten-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 534.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for hiten-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ba7e373d065f7f49fd6fabc2f0ca0bbef00000eec236ffdf335f6e72efb77d98
MD5 86fdf8803e5f217f4b0d7350ef63b326
BLAKE2b-256 f49b772cbdcc1f279c25459b33c128c4984826cb361398b4aa42b2665630e613

See more details on using hashes here.

Provenance

The following attestation bundles were made for hiten-0.5.1-py3-none-any.whl:

Publisher: python-publish.yml on iamgadmarconi/hiten

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page