Neuro Shield

Awards & Nominations

Neuro Shield has received the following awards and nominations. Way to go!

Global Nominee

Save Earth from another Carrington event

High-Level Project Summary

We used deep learning methods, artificial neural networks with 29,521 parameters, equivalent to 5 dense layers with 180, 100, 60, 40 and 1 neuron respectively, linear, relu and sigmoid activation functions with learning rate of 0.01 and performance measures such as mean square error and r-squared which indicates the predictive level of the model. The data set was divided into 85% training and 15% validation with the objective of predicting the "dst" according to the condition of the independent variables given certain conditions (independent variables).

Link to Final Project

https://gist.github.com/eduardosz13/3903cb6ead6841481eccfdf2a8cf47bc#file-neuro-shield-ipynb

Link to Project "Demo"

https://youtu.be/tRNoOFY1FzU

Detailed Project Description

We used deep learning methods, artificial neural networks with 29,521 parameters, equivalent to 5 dense layers with 180, 100, 60, 40 and 1 neuron respectively, linear, relu and sigmoid activation functions with learning rate of 0.01 and performance measures such as mean square error and r-squared which indicates the predictive level of the model. The data set was divided into 85% training and 15% validation with the objective of predicting the "dst" according to the condition of the independent variables given certain conditions (independent variables).

The goal is to develop an algorithm that can approach a predictive model to help protect the Earth against solar storms.

Using Python code through "Google Colab".

Space Agency Data

CDF LIBRARY

To import the data

DSCOVR

DSCOVR data that allowed to identify variables such as:

by_gse- Y component of the interplanetary magnetic field in GSE coordinates (nT).

bz_gse- Z component of the interplanetary magnetic field in GSE coordinates (nT)

theta_gse- Latitude of the interplanetary magnetic field in GSE coordinates (defined as the angle between the magnetic vector B and the plane of the ecliptic, being positive when B points to the north) (degrees)

phi_gse- Interplanetary magnetic field length in GSE coordinates (the angle between the projection of the IMF vector on the ecliptic and the Earth-Sun direction) (degrees)

bx_gsm- X component of the interplanetary magnetic field in geocentric coordinates of the solar magnetospheric (GSM) (nT)

by_gsm- Y component of the interplanetary magnetic field in GSM coordinates (nT)

bz_gsm- Z component of the interplanetary magnetic field in (GSM) coordinates (nT)

theta_gsm- Latitude of the interplanetary magnetic field in GSM coordinates (degrees)

phi_gsm- Longitude of interplanetary magnetic field in GSM coordinates (degrees)

bt- Magnitude of the interplanetary magnetic field component (nT)

density- Solar wind proton density (N/cm^3)

speed- Majority velocity of the solar wind (km/s)

temperature- Ionic temperature of solar wind (Kelvin)

Data supplemented by resources

NOAA-DSCOVR

Period 2016-2019

Hackathon Journey

It was an incredible experience, where moments of joy, nervousness and excitement were shared. Learning is undoubtedly an indicator of growth; likewise, the ideas generated by other teams, creativity, impetus and motivation are variables that influence the successful performance of the project.

The Carrington event is well known for all the damage it caused to the communication mechanism of that time, the telegraph. It generates uncertainty to think that this could happen, but, above all, it generates instability in our daily activities. Being able to develop an algorithm allows us to develop a predictive defense model for the preparation of this type of event with the different indicators and, therefore, offer a period of time to guarantee world security.

Thanks to the authorities and all the team members for their logistical efficiency, motivation and answers to our doubts.

References

CDF LIBRARY

To import the data

NASA,2022, Resource Challenge saves earth from another Carrington event Recovered from https://2022.spaceappschallenge.org/challenges/2022-challenges/carrington-event/resources