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Ann & H.J. Smead Aerospace Engineering Sciences Department at the University of Colorado Boulder, Colorado Center for Astrodynamics Research (CCAR)
- Boulder, Colorado, United States
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13:00
(UTC -06:00) - https://www.researchgate.net/profile/Giovanni-Fereoli
- https://orcid.org/0000-0002-2560-1000
- in/giovanni-fereoli-356547142
Highlights
- Pro
Starred repositories
Code related to "Fundamentals of Astrodynamics and Applications" 5th ed. by David Vallado
Construct interior structure models based on planetary properties. Self-consistent thermodynamics are used for fluid, rock, and mineral phases. Sound speeds, attenuation, and electrical conductivit…
Python reader library and example usage scripts for the Deep Space Network's TRK 2-34 Tracking and Navigation Files (TNF) data format.
Bayesian Modeling and Probabilistic Programming in Python
Estimate the autocorrelation time of time-series data very quickly
An open-source orbit-computation package for Solar System objects.
A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
Collection of examples showcasing Tudatpy functionalities. They can be viewed on our website below
Matplotlib styles for scientific plotting
Gravity signal of a general polyhedron using the line integral approach
🌏 📡 🌏 📡 FORMFLYT - High fidelity orbit propagation for formation flying control in MATLAB!
Experiments with artificial neural networks and geodesy
Implementation of a polyhedral gravity model in C++17 with a Python Binding
Code to train and test ThermoNets: a neural, differentiable, model for the thermosphere density.
High-Performance Symbolic Regression in Python and Julia
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
lasp / EMTG
Forked from nasa/EMTGLASP fork of NASA's Evolutionary Mission Trajectory Generator (EMTG)
Parameter estimation of the Kalman filter using the EM algorithm
Evolutionary Mission Trajectory Generator (EMTG)
Python library for ODE integration via Taylor's method and LLVM
Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
Python wrapper of DACE, the Differential Algebra Computational Toolbox.
Visualizer for neural network, deep learning and machine learning models
OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-perfor…