https://github.com/amberlee2427/eta-earth
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (8.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: AmberLee2427
- Language: Jupyter Notebook
- Default Branch: main
- Size: 3.98 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
EtaEarth
Eta Earth stuff from Samson but explained as best as I can manage.
Installation
This notebook requires several Python packages that can be installed using conda or pip.
Using conda (recommended):
bash
conda env create -f env.yml
conda activate eta-earth-analysis
Using pip:
bash
pip install -r requiremenets.txt
The required packages are:
- pandas: For data manipulation and analysis
- numpy: For numerical computing
- matplotlib: For plotting
- scipy: For scientific computing
- lmfit: For curve fitting and parameter estimation
- emcee: For MCMC sampling
- corner: For visualization of MCMC results
- jupyterlab: For running this notebook
- ipykernel: For Jupyter notebook support
- h5py: For HDF5 file support
# Usage
Use this notebook to validate simulations, verify demographic modelling uncertainties, or fit real demographic models to full season/project microlensing data.
# Authors
Primary Author: Samson Johnson
Secondary Authors: Amber Malaps & Alison Crisp
Corresponding Author: Amber Malpas (malpas.1@osu.edu)
Owner
- Name: Amber
- Login: AmberLee2427
- Kind: user
- Location: New Zealand
- Repositories: 1
- Profile: https://github.com/AmberLee2427
GitHub Events
Total
- Push event: 4
- Pull request event: 2
- Create event: 1
Last Year
- Push event: 4
- Pull request event: 2
- Create event: 1
Dependencies
- corner *
- emcee *
- h5py *
- ipykernel *
- jupyterlab *
- lmfit *
- matplotlib *
- numpy *
- pandas *
- scipy *