Courses
CLASSES WILL BE FULLY ONLINE FIRST WEEK IN 2021
Summary of the first week
November 22: Dr Edgar Mendoza
Chemistry of the Interstellar Medium: Observation of Molecules at Sub-mm Wavelengths.November 23: Dr Nienke van der Marel
The building blocks of planets: chemistry in planet forming disksNovember 24: Dr Gustavo Cruz Diaz
Laboratory Astrochemistry: Techniques to simulate and analyze the matter in the interstellar medium.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
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
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
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
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
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
December 3: Discussion Panel
TBA
You can find the recorded classes in the following youtube channel: