Welcome to the "Telescopes and Photometry" workshop repository. Explore the world of telescopes, from optical to radio, infrared, X-ray, and gamma-ray, and understand their unique contributions to astronomy. Additionally, dive into the fundamental concept of photometry, learning how to measure celestial object brightness. Join us on this journey
- Installation (Ubuntu 20) (https://ds9.si.edu/download/ubuntu20/ds9.ubuntu20.8.5.tar.gz)
- Installation (Windows) (https://ds9.si.edu/download/win64/SAOImageDS9%208.5%20Install.exe)
- Download the fits images
J band FITS Image
H band FITS Image
K band FITS Image
This repository contains the following materials:
-
Notebook:
photometry.ipynb(https://colab.research.google.com/drive/1qYafR1xzluWYCwNFQIOhMqEnFFaLrYQQ?usp=sharing)- This Jupyter Notebook provides step-by-step instructions and code examples for performing aperture photometry on astronomical data using Python. Follow along with the notebook to learn the basics of aperture photometry.
-
Astronomical Image (FITS File):
carina_sci.fits- The FITS file contains sample astronomical image data that we'll use for the photometric analysis. You can use this file to practice the techniques discussed in the workshop.
- Download Large FITS File
-
Presentation Slides:
Talk2.pdf- These slides provide an overview of photometry's key concepts and methods.
If you have questions, encounter issues, or want to provide feedback, please feel free to:
- Contact us at (gregory6.626@gmail.com) (inspire.sudeshna@gmail.com)
We hope you enjoy the workshop and find it helpful in your journey to understand and apply aperture photometry in data analysis.
Happy learning!
- Astropy documentation(https://docs.astropy.org/en/stable/)
- Photutils documentation(https://photutils.readthedocs.io/en/stable/)
- MAST Archive for JWST image(https://mast.stsci.edu/portal/Mashup/Clients/Mast/Portal.html)
- DS9 (https://sites.google.com/cfa.harvard.edu/saoimageds9)