We are composed of:
- Tomas Felipe Panqueva Manrique
- Juan Andres Rodriguez Peñuela
- Marianella Polo Peña
- Andres Serrato Camero
- Valentina Rodriguez Tejedor
- Juan Francisco Teran Roman
We are students from Universidad Escuela Colombiana de Ingeniería Julio Garavito.
Our project, Seismic Detection Across the Solar System, aims to analyze real data from the Apollo missions and the Mars InSight lander to identify seismic events. We utilize a dataset containing continuous seismic records from these missions, organized into training and test subsets, as well as catalogs showing when the known seismic events occur.
The challenge is to develop a program capable of analyzing this data and detecting seismic events, including those that may not have been cataloged previously.
The challenge is to create a program that analyzes seismic data from the Apollo missions and the InSight mission on Mars. The project focuses on:
- Using seismic records from the Moon and Mars to identify seismic events.
- Applying algorithms such as the Short-Term Average/Long-Term Average (STA/LTA) ratio to detect events.
- Handling common planetary data issues, such as missing data or glitches.
- Exploring machine learning techniques to improve the detection of seismic signals.
The project utilizes the following libraries and technologies:
- numpy: For mathematical operations and numerical data manipulation.
- jupyter: To run notebooks and perform data analysis.
- notebook: Working platform.
- pandas: For manipulating and analyzing data structures.
- matplotlib: For data visualization and graphing.
- obspy: For processing and analyzing seismic data.
If you would like to contribute to this project, feel free to clone the repository, install the dependencies, and suggest improvements or add new features. All contributions are welcome! 🎉
Nasa App by Efecto Mariposa, Tomas Felipe Panqueva Manrique, Marianella Polo Peña, Valentina Rodriguez Tejedor, Juan Francisco Teran Roman, Juan Andres Rodriguez Peñuela, and Andres Serrato Camero is licensed under Creative Commons Attribution-NonCommercial 4.0 International
