High-Level Project Summary
We dont really have the code ready to provide for the project, but we provide photos in the powerpoint in which we show a neural network and an example of the data we used. We used python and excel as tools. We try to predict from DSCOVR with the raw Faraday Cup the ion parameters from Wind by using DTW from magnitude of magnetic field and a neural network.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
We dont really have the code ready to provide for the project, but we provide photos in the powerpoint in which we show a neural network and an example of the data we used. We used python and excel as tools. We try to predict from DSCOVR with the raw Faraday Cup the ion parameters from Wind by using DTW from magnitude of magnetic field and a neural network.
Space Agency Data
We used the Wind ion parameters, the magnitude of magnetic field from DSCOVR and Wind, and the F0 Faraday Cup from DSCOVR to be able to solve this. Magnitude was used for DTW and the others to make the neural network.
Hackathon Journey
It was an amazing experience with friendly people. We discovered more skills with python libraries and the .cdf files of NASA. It seemed like we could make an impact with this project, but it was very new to us and we wasted a lot of time to understand the problem and the data itself. Mike on discord was amazing, i just wish the challenge would make sure to link the data that is required and tell us how to calculate it.
References
https://towardsdatascience.com/dynamic-time-warping-3933f25fcdd
https://www.spaceappschallenge.org/space-apps-challenge-2022-example-resource-save-the-earth-from-another-carrington-event/
https://cdaweb.gsfc.nasa.gov/
https://www.ngdc.noaa.gov/dscovr/next/
https://spacepy.github.io/