forward-modeling

SkyPy: A package for modelling the Universe.

Tomofast-x is a 3D parallel inversion platform to run single domain or joint inversion of gravity and magnetic data.

The first global synthetic dataset for physics-ML seismic wavefield modeling and full-waveform inversion

GMG: An open source geophysical modelling GUI

code related to the paper "Forward modeling of gravity anomalies based on cell mergence and parallel computing"

GRAV MAG SUITE - A MATLAB-BASED SOFTWARE FOR PROCESSING POTENTIAL FIELD GEOPHYSICAL DATA

"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interface…

Python toolbox for uncertainty estimation and calibration in EEG/MEG inverse source imaging.

3D forward modeling of bodies discretized by rectangular prisms with parabolic density contrast

GPU-accelerated 2D elastic wave simulation in Julia. Staggered grid FD, HABC boundaries, vacuum formulation for topography & cavities. Runs on laptop. 弹性波模拟 地震正演

A 1.55 μm Wideband 1 × 2 Photonic Power Splitter With Arbitrary Ratio: Characterization and Forward Modeling

Gravity forward modeling for polyhedral bodies

PyFWI-Acoustic is a Python framework for 2D acoustic Full Waveform Inversion (FWI) implementing first and second order objective function.

Hand-draw 2D property fields in the browser and export them as arrays at any grid resolution. Seismic velocity, thermal conductivity, density, anything you name.

Python Gravity Exploration Toolkit: forward modeling, FTG, terrain correction, GPU acceleration

A modular Python framework for 2D gravity forward modelling, signal processing, and gravity inversion using Tikhonov, Depth Weighting, and IRLS methods.

MT + gravity forward modeling, sensor/noise simulation and dataset builder (PIMSR)

Completeness-folded likelihood and hierarchical stacking for X-ray binary luminosity functions. Removes the slope bias of detection-naive fits.