Exo-Hunter. Final project for Le Wagon batch #728

Other contributors: https://github.com/Awle https://github.com/lorcanob

Data

https://exoplanetarchive.ipac.caltech.edu/cgi-bin/TblView/nph-tblView?app=ExoTbls&config=koi https://www.kaggle.com/keplersmachines/kepler-labelled-time-series-data

Goal

Our goal is to create a neural network that can either, take in raw data of light curves and help predict whether or not there are exo-planets present, or a Kepler object identifier number and return data on that system and a manim graphic. The end product will be in the form of a streamlit website.

Data analysis

• Document here the project: exo-hunter
• Description: Project Description
• Data Source:
• Type of analysis:

Please document the project the better you can.

Startup the project

The initial setup.

Create virtualenv and install the project:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv ~/venv ; source ~/venv/bin/activate ;\
    pip install pip -U; pip install -r requirements.txt

Unittest test:

make clean install test

Check for exo-hunter in gitlab.com/{group}. If your project is not set please add it:

• Create a new project on gitlab.com/{group}/exo-hunter
• Then populate it:

##   e.g. if group is "{group}" and project_name is "exo-hunter"
git remote add origin git@github.com:{group}/exo-hunter.git
git push -u origin master
git push -u origin --tags

Functionnal test with a script:

cd
mkdir tmp
cd tmp
exo-hunter-run

Install

Go to https://github.com/{group}/exo-hunter to see the project, manage issues, setup you ssh public key, ...

Create a python3 virtualenv and activate it:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv -ppython3 ~/venv ; source ~/venv/bin/activate

Clone the project and install it:

git clone git@github.com:{group}/exo-hunter.git
cd exo-hunter
pip install -r requirements.txt
make clean install test                # install and test

Functionnal test with a script:

cd
mkdir tmp
cd tmp
exo-hunter-run