High-Level Project Summary
We have developed an AI that will, based on the maximum speed of the solar wind and some other astronomical units, predict the next potential "Carrington Event". We used a set of data on the magnetic field of the earth and the Sun from the DISCOVER and WIND satellites to train our AI on how to detect solar flares or coronal mass ejections.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
To begin with, my project is fundamentally different from the project of other teams that have chosen this
event. But at the same time, our goals were the same.
I will start with the fact that we had problems, and not only us, but all the participants of this event. The datasets were in CDF format, which was very difficult to work with.
So how does our task differ from the tasks of other participants? For the simplest reason, we wrote these using ml methods! It was recommended to use neural networks (deep learning) for this task because with the help of deep learning it was possible to make more accurate predictions! We did not use deep learning due to a lack of resources (that is, due to a weak laptop). But we were able to do it on ML methods.
We wrote the algorithm in python using the spacepy and cdflib libraries, etc.
Space Agency Data
We used NASA's open data on the magnetosphere of the earth and the sun (https://cdaweb.gsfc.nasa.gov/pub/data/wind/mfi/mfi_h2/2022 /) and (https://cdaweb.gsfc.nasa.gov/pub/data/dscovr/h0/mag/2022 /). As well as other parameters
(https://cdaweb.gsfc.nasa.gov/pub/data/wind/swe/swe_h1/2022 /)
Hackathon Journey
It was an unforgettable two days! I learned a lot about the IT field! I met some very interesting people. What I remember most of all is how I stayed overnight at my Hackathon center. My team and I have helped each other a lot, and not only to each other. We also actively helped other teams, especially my designer) helped almost everyone.
References
https://cdaweb.gsfc.nasa.gov/pub/data/wind/mfi/mfi_h2/2022/
https://cdaweb.gsfc.nasa.gov/pub/data/wind/mfi/mfi_h2/2022/
https://cdaweb.gsfc.nasa.gov/pub/data/dscovr/h0/mag/2022/
https://cdaweb.gsfc.nasa.gov/pub/data/wind/swe/swe_h1/2022/
https://cdaweb.gsfc.nasa.gov/pub/data/wind/swe/swe_h1/2022/
Tags
#NASA #spaceappschellenge #Americanspacedushanbe