ml-gw-project

Machine learning project on intermediate mass black hole (IMBH) detection using gravitational waves.

https://github.com/lolle2001/ml-gw-project

Science Score: 44.0%

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CITATION.cff file
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Low similarity (7.4%) to scientific vocabulary

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Repository

Machine learning project on intermediate mass black hole (IMBH) detection using gravitational waves.

Basic Info

Host: GitHub
Owner: Lolle2001
License: mit
Language: Jupyter Notebook
Default Branch: main
Size: 36.2 MB

Statistics

Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created over 1 year ago · Last pushed about 1 year ago

Metadata Files

Readme License Citation

🚀 Glitch Amelioration in Gravitational Waves

This repository contains files for a machine learning project on intermediate mass black hole (IMBH) detection using gravitational waves. It focusses on ameliorating glitches in gravitational wave signals originating from cosmic events with intermediate mass black holes.

📝 Project Folder Setup

📁 data: contains the data files used for this project.
📁 main: contains the scripts that we have written ourselves.
📁 lib: contains the scripts that we have from an external source.
📁 info: contains the documentation for this project.
📁 model: contains the generated data, including settings and the neural network weights.

:information_source: Project Script Setup

The model consist out of a framework (modelframe.py) which contains the general settings and training loop for the different neural networks that are trained (models.py). The code includes two jupyter notebooks that run certain model setups and generate data. An additional notebook makes relevant plots of the model metrics. There are three additional python scripts that include code for plotting, data loading and other utilities.

Owner

Login: Lolle2001
Kind: user

Repositories: 1
Profile: https://github.com/Lolle2001

Citation (CITATION.CFF)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Glitch Amelioration in Gravitational Wave Signals
message: >-
  This code is for a project on using machine learning for
  classification of gravitational wave signals into
  different categories of origins, such as intermediate mass
  black hole mergers.
type: software
authors:
  - given-names: Iris
    family-names: van Dijk
  - given-names: Wouter
    family-names: van Balken
  - given-names: Lieuwe
    family-names: Huisman
repository-code: 'https://github.com/Lolle2001/ml-gw-project.git'
abstract: |-
  This code is for a project on using machine learning for
    classification of gravitational wave signals into
    different categories of origins, such as intermediate mass
    black hole mergers.
license: MIT

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