Alexander Sarango

Physicist

ABOUT ME

I'm a dedicated graduate student in physics by Escuela Superior Politécnica de Chimborazo (ESPOCH) in Riobamba, Ecuador. While exploring different areas of physics during my undergraduate years, I discovered a deep passion for computational and theoretical physics. I like to connect the theoretical elegance of nature phenomena with cutting-edge computational frameworks. I culminated my bachelor's degree with my thesis research on gravastars, an alternative theory with the aim of solving the problems of classical black holes. You can read more here.


I was born in Loja, Ecuador. I enjoy doing sports, playing video games and spreading my passion for physics and computer science with others. I've designed this website for helping young students who are working towards a bachelor's degree in physics or any other scientific field. Here you can find some notes I've created from my classes, from some good books and from video lectures from different people, also you can see all the free resources I found useful about some topics in physics and mathematics. You can feel free to explore and learn what I do and what I'm interested in.


My interests in physics are: black holes in general relativity, gravastars, quantum mechanics, holographic principle, string theory.


My interests in computer science are: machine learning, artificial intelligent, big data and data science.

Download CV Download CV (Spanish)

RESEARCH

Undergraduate Thesis: Gravastar Model with Vanishing Complexity

The goal of this research was to develop a new gravastar model with vanishing complexity, a condition useful for the study of complex stellar objects. To achieve this, the methodology employed consisted of using extended minimal geometric deformation approach under the gravitational decoupling framework. Through this methodology, a new gravastar solution was obtained and it was demonstrated that this new solution satisfies the necessary conditions to be considered a physically acceptable solution.

Thesis Thesis Slides

Grupo de Energías Alternativas Ambiente - ESPOCH

Research Assistant

My activities carried out at the GEAA - ESPOCH as research assistant, focusing on implementing a dynamic clustering algorithm in Python using K-Means algorithm. Dynamic clustering offers advantages over traditional methods in identifying climate patterns. The work included literature review on climate models, clustering algorithms, and dimensionality reduction techniques (PCA/EOF), followed by practical implementation using random data. Results showed the effectiveness of dynamic clustering on precipitation and temperature data from the CNRM and CMIP6 models.

NOTES

Classical Mechanics


  • Upcoming...

Special & General Relativity


  • Schwarzschild solution derivation (PDF)

Quantum Mechanics


  • Upcoming...

Vector & Tensor Calculus


  • Upcoming...

Calculus


  • Upcoming...

Electromagnetism


  • Upcoming...

OUTREACH

Courses

  • Introduction to LaTeX (Spanish) (material)

Talks

  • Gravastars, the missing piece of the cosmic puzzle? (Slides)

Teaching (Spanish)

  • Physics for High School students (link)
  • Mathematics for High School students (link)

GET IN TOUCH

For any inquiry you can fill out the following form or reach me on either of the social media channels showed at the bottom.