diff --git a/estimation/galilean_moons_state_estimation.ipynb b/estimation/galilean_moons_state_estimation.ipynb index 32006c4..a77085f 100644 --- a/estimation/galilean_moons_state_estimation.ipynb +++ b/estimation/galilean_moons_state_estimation.ipynb @@ -466,9 +466,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating residuals and partials 133248\n", + "Done with the estimation...\n", + "Updated initial states: [ 8.63370164e+07 4.12870640e+08 1.57117051e+07 -1.69694497e+04\n", + " 3.48225953e+03 -1.25125405e+02 -4.32057307e+08 5.18870870e+08\n", + " 9.01630558e+06 -1.05582910e+04 -8.65416239e+03 -3.79917559e+02\n", + " -4.69804473e+08 -9.61029077e+08 -4.38599332e+07 9.77849497e+03\n", + " -4.76410393e+03 -2.94563539e+01 -1.56871289e+09 -1.06273594e+09\n", + " -5.40333297e+07 4.59048624e+03 -6.73103188e+03 -1.47766429e+02]\n", + "Current residual: 2.29116e+07\n", + "Parameter update 156450 -26941.3 484.57 1.25023 6.18132 0.0314845 -14194.8 -6177.24 -3364.78 0.0488354 -0.227931 0.0145456 -15432.9 1470.49 885.281 0.0173174 -0.2182 -0.0100752 -12580.4 -6333.75 -323.754 0.0330049 -0.0576688 4.98396e-05\n", + "Calculating residuals and partials 133248\n", + "Current residual: 77474\n", + "Parameter update -151730 29785.9 -2152.12 -1.337 -6.09694 -0.228184 6626.53 8296.46 497.357 -0.0648912 0.147531 0.0107402 18747.6 -10362.6 -116.315 0.0847908 0.198994 0.00786303 867.023 -1918.89 -44.4942 0.00686234 0.00627573 0.000271202\n", + "Calculating residuals and partials 133248\n", + "Current residual: 134485\n", + "Parameter update -6.48074 -26.0713 -1.97774 0.00114822 -0.000296243 -4.87471e-05 -0.915234 -0.370981 -0.0208121 2.31806e-05 -1.48501e-05 4.21343e-06 1.26869 -0.583519 -0.00864127 1.58072e-06 1.21796e-05 1.78496e-07 0.0158054 -0.0202141 0.00170075 1.3982e-07 4.14841e-08 -1.32983e-08\n", + "Calculating residuals and partials 133248\n", + "Current residual: 5459.16\n", + "Parameter update -0.191728 -0.0855703 1.11859 -5.66934e-06 -9.11766e-06 5.47994e-05 0.771562 0.623479 -0.0275404 -1.23587e-05 1.49968e-05 -8.79684e-06 0.309065 -0.193405 0.00975232 1.15841e-06 3.25138e-06 4.47628e-07 0.00167817 -0.00115309 -0.00112408 7.03415e-09 1.0513e-09 2.05311e-08\n", + "Calculating residuals and partials 133248\n", + "Current residual: 5459.16\n", + "Maximum number of iterations reached\n", + "Parameter update 0.0216742 -0.00439975 0.000179119 1.88303e-07 8.87901e-07 3.4233e-08 -0.000485417 -0.000497806 -1.64525e-05 6.49283e-09 -1.02309e-08 -3.05007e-10 0.00253202 -0.00126615 -7.90742e-06 1.24107e-08 2.59419e-08 1.18512e-09 0.000455821 -0.000637216 -1.30534e-05 2.91585e-09 2.00861e-09 1.00497e-10\n", + "Final residual: 5459.16\n" + ] + } + ], "source": [ "with util.redirect_std(redirect_out=False):\n", " estimation_output = estimator.perform_estimation(estimation_input)\n", @@ -491,9 +522,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/vw/h3bwl54d4h9fxt45xnkxm86jgk0dgk/T/ipykernel_45887/3865206345.py:40: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " time2plt.append(time_conversion.julian_day_to_calendar_date(epoch_days))\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "### LOAD DATA ###\n", "simulator_object = estimation_output.simulation_results_per_iteration[-1]\n", @@ -568,7 +618,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": { "collapsed": false, "jupyter": { @@ -607,14 +657,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/vw/h3bwl54d4h9fxt45xnkxm86jgk0dgk/T/ipykernel_45887/1296549662.py:38: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " time2plt.append(time_conversion.julian_day_to_calendar_date(epoch_days))\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "### LAPLACE STABILITY ###\n", "ephemeris_kepler_elements = np.vstack(list(ephemeris_keplerian_states.values()))\n", diff --git a/estimation/galilean_moons_state_estimation.py b/estimation/galilean_moons_state_estimation.py index 4f4e360..afa93db 100644 --- a/estimation/galilean_moons_state_estimation.py +++ b/estimation/galilean_moons_state_estimation.py @@ -1,29 +1,28 @@ -# Initial State Estimation Using NOE-5 Ephemeris -""" -Copyright (c) 2010-2022, Delft University of Technology. All rights reserved. This file is part of the Tudat. Redistribution and use in source and binary forms, with or without modification, are permitted exclusively under the terms of the Modified BSD license. You should have received a copy of the license with this file. If not, please or visit: http://tudat.tudelft.nl/LICENSE. +#!/usr/bin/env python +# coding: utf-8 + +# # Initial State Estimation Using NOE-5 Ephemeris +# Copyright (c) 2010-2022, Delft University of Technology. All rights reserved. This file is part of the Tudat. Redistribution and use in source and binary forms, with or without modification, are permitted exclusively under the terms of the Modified BSD license. You should have received a copy of the license with this file. If not, please or visit: http://tudat.tudelft.nl/LICENSE. +# +# ## Objectives +# This example illustrates how to optimize the **initial conditions** of a fixed dynamical model to **better match the available ephemeris of a celestial body**, using them as **"artificial" observations**. By adjusting the initial state, the goal is to minimize the discrepancy between the model’s predicted orbit and the ephemeris provided orbit over time. +# +# We will showcase how we can **enhance the accuracy of predicted orbits of the Galilean moons** based on the most current ephemerides (**NOE-5**) published by [Institut de mécanique céleste et de calcul des éphémérides](https://www.imcce.fr/institut/presentation/) (IMCEE). +# +# In particular, we will: +# +# 1) **simulate observations** based on the ephemerides of the Galilean moons; +# 2) **estimate an improved initial state** for all four moons, such that +# the propagated orbit **minimizes the observations (ephemeris) residuals** +# 4) inspecting the (correct) representation and stability of the **Laplace resonance** between the inner three moons (Io, Europa, and Ganymede). + +# ## Import Statements +# Typically - in the most pythonic way - all required modules are imported at the very beginning. +# +# Some standard modules are first loaded: `numpy` and `matplotlib.pyplot`. Within this example, while no particular new functionality of `tudatpy` will be introduced, we will nevertheless explore the already known parts of the `estimation` module in more depth and how it can be applied to **intricate problems**. + +# In[1]: -""" - -## Objectives -""" -This example illustrates how to optimize the **initial conditions** of a fixed dynamical model to **better match the available ephemeris of a celestial body**, using them as **"artificial" observations**. By adjusting the initial state, the goal is to minimize the discrepancy between the model’s predicted orbit and the ephemeris provided orbit over time. - -We will showcase how we can **enhance the accuracy of predicted orbits of the Galilean moons** based on the most current ephemerides (**NOE-5**) published by [Institut de mécanique céleste et de calcul des éphémérides](https://www.imcce.fr/institut/presentation/) (IMCEE). - -In particular, we will: - -1) **simulate observations** based on the ephemerides of the Galilean moons; -2) **estimate an improved initial state** for all four moons, such that - the propagated orbit **minimizes the observations (ephemeris) residuals** -4) inspecting the (correct) representation and stability of the **Laplace resonance** between the inner three moons (Io, Europa, and Ganymede). -""" - -## Import Statements -""" -Typically - in the most pythonic way - all required modules are imported at the very beginning. - -Some standard modules are first loaded: `numpy` and `matplotlib.pyplot`. Within this example, while no particular new functionality of `tudatpy` will be introduced, we will nevertheless explore the already known parts of the `estimation` module in more depth and how it can be applied to **intricate problems**. -""" # General imports import math @@ -43,19 +42,17 @@ from tudatpy.astro.time_conversion import DateTime -## Orbital Simulation -""" -Entirely independent of the upcoming estimation-process, we first have to: -* define the **general settings of the simulation** -* create the **environment** -* define all relevant **propagation settings** +# ## Orbital Simulation +# Entirely independent of the upcoming estimation-process, we first have to: +# * define the **general settings of the simulation** +# * create the **environment** +# * define all relevant **propagation settings** +# +# ### Simulation Settings +# Besides importing tudat's standard kernels - which handily already include a version of the **NOE-5 ephemeris**, for more details see also [here](https://py.api.tudat.space/en/latest/spice.html#tudatpy.interface.spice.load_standard_kernels) - in terms of time-wise settings we have (arbitrarily) chosen to make use of the nominal duration of ESA's JUICE mission as scope of our simulation. Nonetheless, note that any other reasonably long time-span would have been equally sufficient. -""" +# In[2]: -### Simulation Settings -""" -Besides importing tudat's standard kernels - which handily already include a version of the **NOE-5 ephemeris**, for more details see also [here](https://py.api.tudat.space/en/latest/spice.html#tudatpy.interface.spice.load_standard_kernels) - in terms of time-wise settings we have (arbitrarily) chosen to make use of the nominal duration of ESA's JUICE mission as scope of our simulation. Nonetheless, note that any other reasonably long time-span would have been equally sufficient. -""" # Load spice kernels spice.load_standard_kernels() @@ -65,12 +62,13 @@ simulation_end_epoch = DateTime(2035, 4, 20).epoch() -### Create the Environment -""" -For the problem at hand, the **environment** consists of the Jovian system with its four largest moons - Io, Europa, Ganymede, and Callisto - as well as Saturn and the Sun which will be relevant when creating some **perturbing accelerations** afterwards. +# ### Create the Environment +# For the problem at hand, the **environment** consists of the Jovian system with its four largest moons - Io, Europa, Ganymede, and Callisto - as well as Saturn and the Sun which will be relevant when creating some **perturbing accelerations** afterwards. +# +# While slightly altering the standard settings of the moons, such that their rotation around their own main axis resembles a synchronous rotation, we will also apply a tabulated ephemeris based on every current (standard) ephemeris to the moons' settings. While, at first glance, this does not add any value to the simulation, this step is crucial in order to later be able to simulate the moons states purely based on their ephemerides without having to propagate their states. + +# In[3]: -While slightly altering the standard settings of the moons, such that their rotation around their own main axis resembles a synchronous rotation, we will also apply a tabulated ephemeris based on every current (standard) ephemeris to the moons' settings. While, at first glance, this does not add any value to the simulation, this step is crucial in order to later be able to simulate the moons states purely based on their ephemerides without having to propagate their states. -""" # Create default body settings for selected celestial bodies jovian_moons_to_create = ['Io', 'Europa', 'Ganymede', 'Callisto'] @@ -108,17 +106,18 @@ bodies = environment_setup.create_system_of_bodies(body_settings) -### Create Propagator Settings -""" -Trivially, in order to **estimate 'better' initial states** for the Galilean moons (as for to the objectives discussed above), we have to include all four of them in our propagation. Acceleration-wise, they are moreover modelled in the same fashion: +# ### Create Propagator Settings +# Trivially, in order to **estimate 'better' initial states** for the Galilean moons (as for to the objectives discussed above), we have to include all four of them in our propagation. Acceleration-wise, they are moreover modelled in the same fashion: +# +# * mutual spherical harmonic acceleration due to Jupiter, +# * tidal dissipation on both the moons and the primary, +# * mutual spherical harmonic acceleration due to the remaining three moons, +# * and point mass gravity attraction by both Saturn and the Sun. +# +# The **initial states** of the moons are taken from the **NOE-5 ephemeris** and will later also serve as **a-priori information and input to the estimator**. We will use a **Dormand-Prince 8th order integrator (RKDP8)** with a fixed step-size of **30 minutes**. Note that, while this example saves the Kepler elements of all four moons as dependent variables, this is not strictly necessary for the estimation, but purely serves as means of **better post-processing visualization** of the results. -* mutual spherical harmonic acceleration due to Jupiter, -* tidal dissipation on both the moons and the primary, -* mutual spherical harmonic acceleration due to the remaining three moons, -* and point mass gravity attraction by both Saturn and the Sun. +# In[4]: -The **initial states** of the moons are taken from the **NOE-5 ephemeris** and will later also serve as **a-priori information and input to the estimator**. We will use a **Dormand-Prince 8th order integrator (RKDP8)** with a fixed step-size of **30 minutes**. Note that, while this example saves the Kepler elements of all four moons as dependent variables, this is not strictly necessary for the estimation, but purely serves as means of **better post-processing visualization** of the results. -""" # Define bodies that are propagated, and their central bodies of propagation bodies_to_propagate = ['Io', 'Europa', 'Ganymede', 'Callisto'] @@ -224,16 +223,14 @@ output_variables=dependent_variables_to_save) -## Orbital Estimation -""" -Having defined all settings required for the simulation of the moons' orbits, the orbital estimation can finally be discussed - we will have to create the required **link ends** for the Galilean moons, define the observation model and simulation settings, simulate the states of the moons based on their associated ephemerides, define the estimable parameters, and finally perform the estimation itself. +# ## Orbital Estimation +# Having defined all settings required for the simulation of the moons' orbits, the orbital estimation can finally be discussed - we will have to create the required **link ends** for the Galilean moons, define the observation model and simulation settings, simulate the states of the moons based on their associated ephemerides, define the estimable parameters, and finally perform the estimation itself. +# +# ### Create Link Ends for the Moons +# Since we will be using the [cartesian_position](https://py.api.tudat.space/en/latest/observation.html#tudatpy.numerical_simulation.estimation_setup.observation.cartesian_position) type of observable to simulate the ephemeris-states of the moons, we will have to define the link-ends for all four moons to be of the `observed_body` type. Finally, we will also have to create the complete set of link definitions for each moon individually. -""" +# In[5]: -### Create Link Ends for the Moons -""" -Since we will be using the [cartesian_position](https://py.api.tudat.space/en/latest/observation.html#tudatpy.numerical_simulation.estimation_setup.observation.cartesian_position) type of observable to simulate the ephemeris-states of the moons, we will have to define the link-ends for all four moons to be of the `observed_body` type. Finally, we will also have to create the complete set of link definitions for each moon individually. -""" link_ends_io = dict() link_ends_io[estimation_setup.observation.observed_body] = estimation_setup.observation.\ @@ -263,10 +260,11 @@ } -### Observation Model Settings -""" -As mentioned above, we will 'observe' the state of the moons at every epoch as being perfectly cartesian and handily available to the user. However, note that the `cartesian_position` observable is typically not realized in reality but mainly serves verification or analysis purposes. -""" +# ### Observation Model Settings +# As mentioned above, we will 'observe' the state of the moons at every epoch as being perfectly cartesian and handily available to the user. However, note that the `cartesian_position` observable is typically not realized in reality but mainly serves verification or analysis purposes. + +# In[6]: + position_observation_settings = [estimation_setup.observation.cartesian_position(link_definition_io), estimation_setup.observation.cartesian_position(link_definition_europa), @@ -274,12 +272,13 @@ estimation_setup.observation.cartesian_position(link_definition_callisto)] -### Observation Simulation Settings -""" -To simulate the states of the moons at every given epochs, we will have to define the simulation settings for all moons. For the problem at hand, they will be entirely identical - we have to define the correct `observable_type` that is associated with the `cartesian_position` observable, give the above-realised `link_definition`, and finally define the epochs at which we want to take the states from the respective ephemerides. +# ### Observation Simulation Settings +# To simulate the states of the moons at every given epochs, we will have to define the simulation settings for all moons. For the problem at hand, they will be entirely identical - we have to define the correct `observable_type` that is associated with the `cartesian_position` observable, give the above-realised `link_definition`, and finally define the epochs at which we want to take the states from the respective ephemerides. +# +# Finally, realise that the default setting for the `reference_link_end_type` argument of the [`tabulated_simulation_settings`](https://py.api.tudat.space/en/latest/observation.html#tudatpy.numerical_simulation.estimation_setup.observation.tabulated_simulation_settings) function is set to `LinkEndType`.receiver. However, to satisfy the estimators expectation when using the `position_observable_type` the default value has to be overwritten and set to `observed_body`. This might be different on a case-by-case situation and should carefully be evaluated when using different types of observables, since the estimation will crash otherwise. + +# In[7]: -Finally, realise that the default setting for the `reference_link_end_type` argument of the [`tabulated_simulation_settings`](https://py.api.tudat.space/en/latest/observation.html#tudatpy.numerical_simulation.estimation_setup.observation.tabulated_simulation_settings) function is set to `LinkEndType`.receiver. However, to satisfy the estimators expectation when using the `position_observable_type` the default value has to be overwritten and set to `observed_body`. This might be different on a case-by-case situation and should carefully be evaluated when using different types of observables, since the estimation will crash otherwise. -""" # Define epochs at which the ephemerides shall be checked observation_times = np.arange(simulation_start_epoch, simulation_end_epoch, 3.0 * 3600) @@ -294,12 +293,13 @@ reference_link_end_type=estimation_setup.observation.observed_body)) -### Simulate Ephemeris' States of Satellites -""" -In a nutshell, what we want to do is to check the ephemeris every three hours - as defined just above - and take the associated (cartesian) state of all four moons at that moment as our observable. However, in order to automatically satisfy all requirements in terms of inputs to the estimator, we have to manually create an `observation_simulator` object, since we explicitly do not want to use the (propagating) simulators that get created alongside the estimator. +# ### Simulate Ephemeris' States of Satellites +# In a nutshell, what we want to do is to check the ephemeris every three hours - as defined just above - and take the associated (cartesian) state of all four moons at that moment as our observable. However, in order to automatically satisfy all requirements in terms of inputs to the estimator, we have to manually create an `observation_simulator` object, since we explicitly do not want to use the (propagating) simulators that get created alongside the estimator. +# +# The way custom-implemented observation simulators are implemented is that they do not propagate any bodies themselves but simulate the observations based on the (tabulated) ephemerides of all involved bodies. To this end, while setting up the environment we have already set the NOE-5 ephemeris as tabulated ephemerides for all Galilean moons. Thanks to this, we can directly create the required observation simulator object and finally simulate the observations according to the above-defined settings. + +# In[8]: -The way custom-implemented observation simulators are implemented is that they do not propagate any bodies themselves but simulate the observations based on the (tabulated) ephemerides of all involved bodies. To this end, while setting up the environment we have already set the NOE-5 ephemeris as tabulated ephemerides for all Galilean moons. Thanks to this, we can directly create the required observation simulator object and finally simulate the observations according to the above-defined settings. -""" # Create observation simulators ephemeris_observation_simulators = estimation_setup.create_observation_simulators( @@ -312,20 +312,22 @@ bodies) -### Define Estimable Parameters -""" -Given the problem at hand - **minimising the discrepancy between the NOE-5 ephemeris and the states of the moons when propagated under the influence of the above-defined accelerations by selection of an *optimal initial state***, we will restrict the set of estimable parameters to the moons' initial states. -""" +# ### Define Estimable Parameters +# Given the problem at hand - **minimising the discrepancy between the NOE-5 ephemeris and the states of the moons when propagated under the influence of the above-defined accelerations by selection of an *optimal initial state***, we will restrict the set of estimable parameters to the moons' initial states. + +# In[9]: + parameters_to_estimate_settings = estimation_setup.parameter.initial_states(propagator_settings, bodies) parameters_to_estimate = estimation_setup.create_parameter_set(parameters_to_estimate_settings, bodies) original_parameter_vector = parameters_to_estimate.parameter_vector -### Perform the Estimation -""" -Using the set of **'artificial cartesian observations'** of the moons' ephemerides, we are finally able to estimate improved initial states for each of the four Galilean satellites. To this end, we will make use of the known estimation functionality of tudat. All other settings remain unchanged and thus equal to their default values (for more details see [here](https://py.api.tudat.space/en/latest/estimation.html#tudatpy.numerical_simulation.estimation.EstimationInput.define_estimation_settings)). -""" +# ### Perform the Estimation +# Using the set of **'artificial cartesian observations'** of the moons' ephemerides, we are finally able to estimate improved initial states for each of the four Galilean satellites. To this end, we will make use of the known estimation functionality of tudat. All other settings remain unchanged and thus equal to their default values (for more details see [here](https://py.api.tudat.space/en/latest/estimation.html#tudatpy.numerical_simulation.estimation.EstimationInput.define_estimation_settings)). + +# In[10]: + print('Running propagation...') with util.redirect_std(): @@ -333,6 +335,9 @@ position_observation_settings, propagator_settings) +# In[11]: + + # Create input object for the estimation estimation_input = estimation.EstimationInput(ephemeris_satellite_states) # Set methodological options @@ -342,6 +347,9 @@ print(f'Original initial states: {original_parameter_vector}') +# In[12]: + + with util.redirect_std(redirect_out=False): estimation_output = estimator.perform_estimation(estimation_input) initial_states_updated = parameters_to_estimate.parameter_vector @@ -349,14 +357,15 @@ print(f'Updated initial states: {initial_states_updated}') -## Post-Processing -""" -With the initial states updated, the estimation is finished. In the following, we will thus be left with analysing how well the propagation of the improved initial states performs compared to the ephemeris solution (selected as **"ground truth" solution**). +# ## Post-Processing +# With the initial states updated, the estimation is finished. In the following, we will thus be left with analysing how well the propagation of the improved initial states performs compared to the ephemeris solution (selected as **"ground truth" solution**). +# +# To this end, we first have to save both the state and dependent variable history of the estimation's final iteration followed by a loop over all respective epochs in order to save all associated ephemeris-states and Keplerian elements. These will subsequently be used as "ground-truth" solution. +# +# Finally, we will graphically compare the absolute difference of our estimated solution as well as the behaviour of the **Laplace resonance** between the three inner moons - Io, Europa, Ganymede - with the ephemeris-solution. -To this end, we first have to save both the state and dependent variable history of the estimation's final iteration followed by a loop over all respective epochs in order to save all associated ephemeris-states and Keplerian elements. These will subsequently be used as "ground-truth" solution. +# In[13]: -Finally, we will graphically compare the absolute difference of our estimated solution as well as the behaviour of the **Laplace resonance** between the three inner moons - Io, Europa, Ganymede - with the ephemeris-solution. -""" ### LOAD DATA ### simulator_object = estimation_output.simulation_results_per_iteration[-1] @@ -419,6 +428,9 @@ # Overall, for the inner three moons trapped in resonance (for more details see below) the above results lie within the expected range of achievable accuracy given the rather rudimentary set-up of the environment and especially associated acceleration models. However, what is striking is that the performance of Callisto falls short compared to the other satellites. Thus, hypothetically, to enhance the estimated solution of the orbit of Callisto with respect to the underlying ephemeris, one could opt to estimate its gravity field alongside the initial state, which could lead to significantly improved results. However, this path is left as an adventure to be followed and explored by the reader. +# In[14]: + + def calculate_mean_longitude(kepler_elements: dict): # Calculate dictionary for moon-wise longitudes mean_longitude_dict = dict() @@ -447,6 +459,9 @@ def calculate_mean_longitude(kepler_elements: dict): return mean_longitude_dict +# In[15]: + + ### LAPLACE STABILITY ### ephemeris_kepler_elements = np.vstack(list(ephemeris_keplerian_states.values())) propagation_kepler_elements = np.vstack(list(dependent_variable_history.values())) @@ -503,5 +518,8 @@ def calculate_mean_longitude(kepler_elements: dict): ax2.set_ylabel(r'Laplace $\Delta\Phi_L$ [deg]'); +# In[ ]: + +