Courses

CLASSES WILL BE FULLY ONLINE FIRST WEEK IN 2021

Summary of the first week


  1. November 22: Dr Edgar Mendoza
    Chemistry of the Interstellar Medium: Observation of Molecules at Sub-mm Wavelengths.

  2. November 23: Dr Nienke van der Marel
    The building blocks of planets: chemistry in planet forming disks

  3. November 24: Dr Gustavo Cruz Diaz
    Laboratory Astrochemistry: Techniques to simulate and analyze the matter in the interstellar medium.

  4. November 25: Dr Ko-Ju Chuang
    Interstellar ice in the Laboratory (for Astrophysics).




CLASSES WILL BE HALF ONLINE HALF IN-PERSON SECOND WEEK IN 2021

https://drive.google.com/drive/folders/1SGs30Wh0kKVTKIcz--XZmvtfqoB7Cdv4?usp=sharing

Instruction for libraries installation
Download the file to
_bash.txt (using the same link above)
Once downloaded, change its extension to to_bash.sh
Run sh to_bash.sh

Syllabus second week

Dr Juan Rafael Martinez-Galarza


  1. November 29: X-ray astronomy with Chandra
    https://drive.google.com/drive/folders/1SGs30Wh0kKVTKIcz--XZmvtfqoB7Cdv4?usp=sharing
    • Exploring the high energy universe

• The Chandra X-ray Observatory

• Mechanisms for the production and absorption of X-rays

• One example: X-ray binaries

  1. November 30: Uncertainty and errors in X-ray astronomy
    https://github.com/juramaga/AstroTwin2021/blob/main/aper_photon_xray.ipynb
    • Brief intro to probability. The rules of probability

• Random variables, distributions, and samples

• Probabilistic models: Frequentism vs. Bayesianism

• X-ray aperture photometry

  1. December 1: Adjusting models to X-ray spectral data
    https://github.com/juramaga/CSC2_tutorials
    • Hypothesis testing, p-values, etc.

• Fitting statistics for X-ray astronomy

• Maximum likelihood estimates

• X-ray spectroscopy

  1. December 2: Variability and time-domain aspects of X-ray astronomy
    https://drive.google.com/drive/folders/1SGs30Wh0kKVTKIcz--XZmvtfqoB7Cdv4?usp=sharing
    http://cda.harvard.edu/cscview/
    http://www.star.bris.ac.uk/~mbt/topcat/#install
    • Introduction to time series

• Variability in X-ray data

• Short-term variability: the Gregory-Loredo Algorithm

• Long-term variability: likelihood ratios

• Lab: Identifying variable sources in the Chandra Source Catalog

  1. December 3: Discussion Panel
    TBA



You can find the recorded classes in the following youtube channel: