Package: orbdetpy
orbdetpyis a Python orbit determination library.FeaturesDynamics in orbdetpy can be configured with:EGM96 gravity field up to degree and order 360.Earth solid tides due to the influence of the Sun and Moon.FES 2004 ocean tide model up to degree and order 100.NRL MSISE-00 and exponential atmospheric drag models.Solar radiation pressure.Third body perturbations from the Sun and Moon.Satellite box-wing models and maneuvers.Range, range-rate, angles, and inertial state measurements are supported. Filtering can be done with an EKF, UKF, or Batch Least Squares. Dynamic Model Compensation (DMC) can be used to estimate unmodeled accelerations.InstallationIf you have docker installed and wish to use a pre-built environment refer to theDockersection in this README.Install Java SE 11 (11.0.10) fromhttps://www.oracle.com/javadownload. Set theJAVA_HOMEenvironment variable to the Java installation folder. Thejavaexecutable must be added to the system path.Install Python 3.8.0 or higher and runpip install orbdetpyto install orbdetpy and other package dependencies.Update the astrodynamics data underorbdetpy/orekit-dataperiodically by running the following. You will needrootprivileges on some systems.python -c "from orbdetpy.astro_data import update_data; update_data();"DevelopmentDownload and extracthttps://github.com/ut-astria/orbdetpy/releases/download/2.1.0/orekit-data.tar.gzunder theorbdetpy/sub-folder.Developers will need Apache Maven 3+ to build the Java library. Build using the following from theorbdetpy/sub-folder, whereos_cpu_typeislinux-x86_64,linux-x86_32,windows-x86_64,windows-x86_32,osx-x86_64, orosx-x86_32depending on your CPU and OS:mvn -e -Dos.detected.classifier=os_cpu_type packageThe command-line is simpler on Intel/AMD 64-bit Linux:mvn -e packageRunpip install -e ./from the top-level folder containingsetup.py.DockerBuild the docker image on a machine that has docker installed and go to the root folder of this repository where theDockerfileis and run,docker build --build-arg ORBDETPY_VERSION=2.0.7 -t orbdetpy:2.0.7 .Runorbdetpy:2.0.7image in a daemon state:docker run -it --rm orbdetpy:2.0.7 bashNext we will activate the python environment and run a test to determine a successful docker image buildcd&&.env_orbdetpy/bin/activate&&pythonorbdetpy/examples/test_estimation.pyFrom here, you can either develop in orbdetpy or build scripts and test in this pre-built environmentExamplesfit_radec.py: Run OD with real angles measurements. Also demonstrates the Laplace IOD method for estimating an initial state vector.interpolate_oem.py: Command-line tool for interpolating state vectors from CCSDS OEM ephemeris files. OEM files are available for download athttp://astria.tacc.utexas.edu/AstriaGraph.predict_passes.py: Predict satellite passes for ground stations or geographic regions using TLEs. Current elements may be obtained from sites such ashttp://www.celestrak.com.propagate_tle.py: Propagate TLEs given by command-line arguments.test_conversion.py: Test reference frame and other conversion functions.test_estimation.py: Demonstrates measurement simulation and orbit determination functions.test_interpolation.py: Interpolate state vectors.Known IssuesGive orbdetpy network access permissions if you get warnings from the Microsoft Windows Firewall.If you use orbdetpy with Python'smultiprocessingpackage, call the functionmultiprocessing.set_start_method("spawn")before othermultiprocessingcalls.