Team: 7
School: Capital High
Area of Science: Computer Science
Interim:
Problem Definition:
In the 2022 Supercomputing challenge, our team is working to find if there is any correlation between the sound of a Laser-Induced Breakdown Spectroscopy, LIBS, impacting a rock on Mars and the resultant spectra. Our initial intent on this project is to analyze found evidence and see if there is any Microbial life on Mars. Our purpose is to identify minerals by analyzing the audio files and their characteristics. The information provided by data can help with further research on a fresh undiscovered planet. So far we have gathered data from Mars including; audio, images, and spectra. In this project, we are going to target the audio files mainly and the differences between the high and low frequencies to find more about the mineralogy of the audio files.
Problem Solution:
How we will be able to solve this problem computationally is by using Python and Librosa to organize the data. First, the program will be able to take the inputted sound file with audio from the SuperCam Calibrated Spectra data collection. The program outputs a spectrogram of the frequencies from the file, allowing us to analyze the data. The spectrogram would be one way to identify what type of noise the sound file is. Additionally, the program would also output something similar to a table or set of data. The data would contain general data like the name of the sound file, the slope, its noise type, and additional information. We will differentiate the colors of noise by checking the line best of fit for the frequencies.
Progress to Date:
As we began our project we needed to clarify and understand some main topics that were going to be vital to the work we were doing. Some things that were unfamiliar to us were subjects such as laser-induced breakdown spectroscopy, the important oxides on Mars, and the missions happening on Mars. Additionally, each team member did research on articles, videos, and terminology. With the help of our mentor, we cleared up any questions and learned about solutions to how we can proceed with our project. We used the existing resources that one of our team members previously worked on. We were then shown how to translate the files to analyze the different colors of noise.
Expected Results:
The results that our team hopes to get from this project are generally to understand more about Mars, its terrain, and mineralogy. We expect to get the results from the different frequencies and differentiate the rocks on Mars. The program should be able to produce a spectrogram of the selected file, even if the code was to be changed itself. We will be using this program that’s being manipulated to the best of our abilities to benefit further research into Mars.
Team Members: Juan De la Riva, Mariah Mejillas, Gilberto Morales, and Jairo Salas Banda
Sponsoring Teacher: Irina Cislaru
Team Members:
Jairo Salas
Mariah Mejillas
Juan De la Riva
Gilberto Morales
Sponsoring Teacher: Irina Cislaru