Dear Chandra users,
We would like to bring
your attention to the following splinter session that will take place
during the AAS HEAD 19 meeting in March:
Title: A Python-friendly introduction to doing science with the Chandra Source Catalog
Abstract:
The Chandra Source Catalog (CSC) provides photometric, spectral, and
variability properties for over 317,000 X-ray sources that have been
processed uniformly, profiting from Chandra's superb sensitivity and
resolution. Perhaps unknown to many CSC users, the catalog also provides
millions of science-ready data products that can be accessed from a
Jupyter notebook session (python) using CIAO and Virtual Observatory
tools. These data products include spectra, light curves, spectral fits,
sensitivity maps, among many others. The combination of tabulated
properties and data products for hundreds of thousands of serendipitous
X-ray sources makes the CSC an excellent tool for discoveries and
population studies. In this workshop/tutorial, we will demonstrate how
to perform several basic science tasks with the CSC in a python-friendly
environment, including access to the property tables, downloads of the
data products, and specific science workflows such as classifying X-ray
sources (AGNs, stars, etcs) by cross-matching CSC with optical and
infrared catalogs, determining cumulative coverage and sensitivity in a
region of the sky, and using the CSC data as input for machine learning
algorithms of classification and regression. We will also present a
demonstration of CSC source classification using supervised machine
learning.
Time: March 14, 2022, 6pm.
If
you are potentially interested in attending, please fill out the
following (very short) google form. Filling it out does not bind you to
attend, but it allows us for better planning. You can also leave us your
email address, so that we can send you information relevant to the
session in advance of the HEAD meeting.
Many thanks!
The CSC team