Anything can happen in the next half hour (including spectral timing made easy)!
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Updated
Apr 22, 2025 - Python
Anything can happen in the next half hour (including spectral timing made easy)!
Shell scripts for spectral-timing analysis of X-ray astronomical data.
Surrogate Final BH properties
Raytracing a black hole (and surrounding stuff) in C#.
A Package to Compute mode functions for Kerr Black Hole Quasinormal modes, as well as their frequencies, seperation constants and more. Additionally provides an interface for cheap differentiation of such modes.
🌌 A CUDA Fortran particle mesh method simulation of supermassive blackhole migration in a galaxy of 100M particles
Relativistic objects imaging, powered by PyTorch
A Blackhole Written In Html Scss And Javascript
This repository contains computational material developed/utilized in Miller-Jones et al. 2021 to estimate the mass of the black hole in the X-ray binary Cygnus X-1.
visualizes the behavior or light (photons) following the path of spacetime around the black hole.
A Package to Compute wave functions for Kerr Black Hole Quasinormal modes, as well as their frequencies, seperation constants and more. Additionally provides an interface for cheap differentiation of such modes.
A series of web applets on popular Physics concepts
List of Black Holes. [FastAPI & React.]
Gravitational-wave population inference allowing narrow population features with minimal edge bias
This repository contains my work on black hole Quasinormal modes.
This python script simulates the hierarchical merging of black holes for different star cluster environments: Open, Globular, and Nuclear.
Analyse the orbital evolution of Extreme Mass Ratio Inspirals, according to Einstein's general theory of relativity.
Repositório para estudo de Ciência de Dados das ondas gravitacionais com GWOS e Python.
It contains a set of CASTRO configuration files for simulating the cold collapse of spherically symmetric and homogenous clouds of matter. The initial conditions we set are relevant to the Black Hole Universe model. We have also included ipython notebooks to visualize the datasets using yt.
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