94 skills found · Page 1 of 4
fatiando / HarmonicaForward modeling, inversion, and processing gravity and magnetic data
MartinAstro / GravNNRepository for Gravity Field Modeling and Recovery using Machine Learning Methods
tetraptych / AcesoPython package to calculate 2SFCA and other measures of spatial accessibility
pinga-lab / Paper Moho Inversion TesseroidsSource code, data, and model results for "Fast non-linear gravity inversion in spherical coordinates with application to the South American Moho". Published in the Geophysical Journal International.
janhohenheim / Avian PickupA plugin for implementing picking up dynamic rigid bodies in Avian physics for the Bevy engine. Modeled after Half Life 2's gravity gun.
esa / Polyhedral Gravity ModelImplementation of a polyhedral gravity model in C++17 with a Python Binding
leouieda / TesseroidsForward modeling of gravity fields in spherical coordinates
ioshchepkov / PygeoidGravity field modelling and computational geodesy in Python
omarreis / Vsop2013Astronomy. VSOP2013 planetary positions. PlanetFun App: Solar system model in 3D. LeapFrog Gravity Integration. Stars, Moon and planets. The discovery of Neptune
Walid-khaled / 6DOF Robot DynamicsIn this repository, dynamic model for 6DOF robot is derived using Euler-Lagrange approach. Inertia matrix, Coriolis matrix, and gravity vector are calculated. The repository is also a solution for Assignment4 in Dynamics of Nonlinear Robotics Systems course for ROCV master's program at Innopolis University.
NASA-IMPACT / Gravity Wave FinetuningFinetuning Prithvi WxC - Climate Model Parameterization for Gravity Wave Flux
GeoGoku / GravForModeling3Dcode related to the paper "Forward modeling of gravity anomalies based on cell mergence and parallel computing"
gravitywiz / Gravityforms OpenaiPair the magic of OpenAI's robust models with Gravity Forms' flexibility.
USITC-Gravity-Group / GMEGravity Modeling Environment by USITC
mdtanker / RIS Gravity InversionHere we use airborne gravity data from Antarctica's Ross Ice Shelf region to perform a gravity inverison to model the sub ice shelf bathymetry.
paulofelipe / Structural GravityR codes to "An Advanced Guide to Trade Policy Analysis: The Structural Gravity Model"
vfceball / RC FIAPThe open virtual platform RC-FIAP, developed in Python, with the analysis library OpenSeesPy at its core, is presented to evaluate the seismic vulnerability of different archetypes of reinforced concrete frames, including ACI318 compliant structures. The platform is a tool for educational performance-based earthquake engineering, including research capabilities for risk assessment. In the first phase of the platform presented here, the fragility assessment is carried in a few seconds from conception to pushover analysis, including design and construction of the nonlinear model. Input variables include number of stories and spans, material properties (steel, concrete), dimensioning of beams and columns, gravity loading, seismic design parameters per ASCE 7-16, and choice of design detailing per ACI318-19. The GUI-based platform allows studying the impact of these variables in the performance of frames, by including ASCE/SEI 41-17 acceptance criteria.
CosmoStatGW / MGCosmoPopModified Gravity and Cosmology with Binary Black Holes' Population models : hierarchical bayesian inference package for constraining the Hubble constant, modified GW propagation and BBH population models with GWs.
ejhgeo / BayGrav3DBayGrav3D is a Bayesian linear gravity inverse modeling program that inverts gravity data to determine the best-fitting densities of spatially discretized 3D subsurface prisms in a least-squares sense. We use a Bayesian approach to incorporate both data uncertainty and prior geophysical constraints, such as seismic data. Gaussian priors are applied to the model parameters as absolute equality constraints. BayGrav3D utilizes Tikhonov regularization as a relative equality constraint that smooths and stabilizes the inversion solution. Given gravity data and a set of priors, the inversion produces a solution to the model parameters (i.e. density) and the full covariance and resolution matrices to quantify the error on the solution. BayGrav3D is capable of working on both local and regional scales and with both simple and complex subsurface geometries. BayGrav3D is written is Matlab, and the release contains an example project with data with which users may test the scripts. A python release is planned sometime in the coming year or so. For more information on the methods, please refer to our paper - Hightower et al. (2020), A Bayesian 3-D linear gravity inversion for complex density distributions: application to the Puysegur subduction system, GJI, v. 223, p. 1899-1918. For using the program, please refer to the documentation (soon to be available on ReadTheDocs) and the commentary within the scripts.
MartinAstro / GravityModelsCollection of gravity models designed for use by astrodynamicists
