Coder Social home page Coder Social logo

Greetings 👻

I'm a specializing in space physics. I graduated with a Physics degree from the State University of Paraiba (UEPB) and pursued my Master's degree in Physics at the Federal University of Campina Grande (UFCG). Currently, I'm pursuing my Ph.D. at the esteemed National Institute for Space Research (INPE) in São José dos Campos-SP, Brazil. My research focuses on space physics, specifically delving into ionosphere-thermosphere interactions, studying Equatorial Plasma Bubbles (EPBs).

In this repository, you will find a collection of data analysis projects related to space weather monitoring and numerical methods. Here are some of the exciting projects you can explore:

Space Weather Projects

  • Digisonde: A pipeline for analyzing reduced data and DRIFT-X measurements (doppler technique) obtained from digisonde instruments. The pipeline provides insights into virtual height, critical frequencies, and other parameters.
  • Fabry-Perot: This pipeline focuses on the analysis of temperature and neutral winds measured by a Fabry-Perot interferometer.
  • Magnetometers: In this project, we analyze and process data from EMBRACE magnetometers.
  • Geophysical Indexes: Explore planetary disturbance indexes, including geomagnetic and solar indicators and download indexes files.
  • GEO: Gain insights into basic attributes in geophysics, including mapping, terminators, and geomagnetic lines.
  • GOES: Extract informations about deep convective storms.
  • DataFetch: Copy and replacing data across repositories.
  • Aeronomy-plotting: Explore various data correlation, timeseries, seasonality, and other plot types for different models and instruments in the field of aeronomy.
  • Aeronomy-models: Dive into the world of modeled geophysical data (IRI-16, HWM-14, and MSISE-00) and data models pipelines.
  • Aeronomy-Equations: This pipeline is centered on the numerical calculation of ionospheric and atmospheric parameters.
  • Rayleigh-Taylor: Compute Rayleigh Taylor growth rate from numerical data.

Tools

  • RINEXplorer: Retrieve data from Rinex and SP3 files to obtain observables for the purpose of computing Total Electron Content (TEC) and ionospheric parameters.

Coding

  • Webscrape: Learn how to use the Request and BeautifulSoup libraries for web scraping geophysical data from various websites.
  • CodeWars:Explore coding kata challenges from Code Wars, a platform to improve coding skills through real coding exercises.
  • Numerical Methods: See Fourier Interpolation, Least-Squares implemantion and others
  • Junk Code: Engage in Python coding exercises and challenges to enhance your coding skills and problem-solving abilities.

Thank you for visiting this repository, and I hope you find the projects here both inspiring and informative!

Luiz Fillip's Projects

astral icon astral

Python calculations for the position of the sun and moon.

cosmic icon cosmic

Pipeline and data analysis of Formasat-COSMIC 1 and 2

datafetch icon datafetch

Data management of repositories and files replacing

digisonde icon digisonde

Data analysis from digisonde processed data: Vertical drifts and Prereversal Enhancement (PRE)

fabry-perot icon fabry-perot

Data pipeline and plotting of winds and temperature mesured by a Fabry-Perot Interferometer

geo icon geo

Geophysical parameters and coordinates transformation

gold icon gold

The National Aeronautics and Space Administration (NASA) Global‐scale Observations of the Limb and Disk (GOLD) satellite takes far‐ultraviolet images of the Earth from geostationary orbit.

icon icon icon

ICON satellite pipeline

junkcode icon junkcode

My personal challenges and exercises to practice in the python language.

machinelearningseries icon machinelearningseries

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

rayleigh-taylor icon rayleigh-taylor

Compute Rayleigh Taylor Instability growth rates and integrated quantities along a field line

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.