Tutorial notebooks for Stingray
-
Updated
Jun 9, 2024 - Jupyter Notebook
Astrophysics is the scientific discipline that deals with the physics of objects, phenomena, and processes in outer space, including (but not limited to) stars, galaxies, compact objects, and the formation of the Universe.
Tutorial notebooks for Stingray
Jupyter Notebook tutorials using astronomical databases and virtual observatory tools
Repository of the Scientific Python Worshop at UOA
Jupyter notebooks, python codes, and data files for all original figures from "Interstellar and Intergalactic Medium" by Barbara Ryden and Richard Pogge.
a Jupyterlite website containing notebooks examples
Data files, code, and Jupyter notebooks for paper on frequency of bars in spiral galaxies, using S4G data
This is a repository of `bash_kernel` Jupyter notebooks used to demo `ds9` at AAS233.
Files and Jupyter notebooks for paper on sizes of bars in spiral galaxies, using S4G data
Experimental measurements and results made computationally available in Pluto.jl notebooks.
Files and Jupyter notebooks for paper on bar major-axis profiles
Mathematica notebooks for calculate the non-local distortion function and solve the modified field equations in Deser-Woodard gravity.
Files and Jupyter notebooks for paper on frequency and sizes of double bars and nuclear rings in local barred galaxies.
Repository for Jupyter notebooks and Python routines used in the Cal-Bridge summer research project I supervised in Summer 2020.
The following repository is for Jupyter Notebooks I created as the Graduate Teaching Assistant for UC Irvine's Physics 139: Observational Astronomy Course. These notebooks are meant for educational purposes to instruct students on how to perform certain tasks to analyze astronomical data.
48 Methods exhibiting the Hubble radius (distance estimates) mistakenly known as the age of the universe
This jupyter notebook is presented as report on the modelling of a binary star system using numerical computing. We solve the binary star system equation of motion using ODEINT differential solver from the scipy module
Simulated bad pixels from the NIR HxRG detector suite on the HST, JWST, and Roman Space Telescope. Using these simulations, notebooks here provide tools to train LSTM and Conv1D deep learning models to build Anomaly Detectors for HxRG bad pixels
These collection of notebooks were used in my ESO internship in which we were trying to detect evidences of the presence of the companion star of M82 X-2, a ULX pulsar We use images from Keck NIRC2 camera and filters Kp, J, H