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astropy-workshop's Introduction

Using Python and Astropy for Astronomical Data Analysis

Workshop at the 240th Meeting of the AAS in Pasadena, California, USA

  • DATE: Sunday June 12th, 2022
  • TIME: 9AM to 5:30PM Pacific Time
  • LOCATION: Room 102 at the Pasadena Convention Center

PRE-WORKSHOP SETUP

Please be sure your laptop is properly configured before the workshop by following the installation and setup instructions.

This could take as long as one hour depending on your current configuration and internet speeds. DO NOT WAIT UNTIL THE DAY OF THE WORKSHOP.

If you are having problems, we will have facilitators on-site as early as 8:30AM PT who can help you in person.

As an alternative, a workshop session can be run on mybinder.org via this link: Binder

Schedule

Time (PT) Topic Presenter/Instructor
9:00 - 9:10am Install and config help, if needed David Shupe
9:10 - 9:20am Intro to Astropy and Code of Conduct David Shupe
9:20 - 9:40am Astropy Units, Quantities, and Constants Ricky O'Steen
9:40 - 10:05am Intro to Object Oriented Programming (OOP) TBD
10:05 - 10:30am Coordinates Erik Tollerud
10:30 - 10:40am BREAK
10:40 - 11:00am I/O: FITS and ASCII Leo Singer
11:00 - 11:30am Astropy Tables Ricky O'Steen
11:30 - 12:00pm Intro to ASDF Nadia Dencheva
12:00 - 1:15pm LUNCH
1:15 - 1:35pm Visualizing Images with Coordinates David Shupe
1:35 - 2:15pm Intro to ccdproc and guide Erik Tollerud
2:15 - 3:00pm Photutils TBD
3:00 - 3:30pm Modeling Nadia Dencheva
3:30 - 3:45pm BREAK
3:45 - 4:30pm Specutils Ricky O'Steen
4:30 - 5:00pm Astropy Communities & Contributing to Astropy Erik Tollerud
5:00 - 5:30pm Spare / informal interactions

Additional Helpers

Description

This workshop covers the use of Python tools for astronomical data analysis and visualization, with the focus primarily on UV, Optical, and IR data. Data analysis tools for JWST are being written in Python and distributed as part of Astropy, a community developed Python library for astronomy, and its affiliated packages.

The workshop goals introduce you to the variety of tools which are already available inside the Astropy library as well as provide ample hands-on time during which you’ll be able to explore the science analysis capabilities which the greater Python environment and community provide.

We plan on accomplishing this with brief overview talks on the main tools followed by extended instructor guided tutorials where you’ll be able to try them out for yourself and ask questions in the company of expert users and developers.

Some basic Python experience is highly recommended to be able to effectively participate in the exercises, but those without Python experience will still get much useful information about the capabilities for data analysis in Python and perhaps pick up some pointers on where they can get started learning more scientific Python and integrating it into their work flow.

If you would like to get a head start with the tools we will be concentrating on you can check out their documentation on readthedocs:

Problems or Questions?

We encourage you to submit any problems or questions you have to this repository issue tracker by choosing the "Question from workshop participant" issue template.

Past Workshops

Materials from past workshops can be found in other branches on this repo and in the past-astropy-workshops repo.

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