October 5-9, 2014

Abstract

P2.31 Post-Pipeline Data Analysis Software Planning for JWST

Henry C. Ferguson (Space Telescope Science Institute)

Perry Greenfield, STScI Susan Kassin, STScI Tracy Beck, STScI

We discuss the status of planning and software development for interactive and scriptable tools to support post-pipeline data analysis by astronomers using the James Webb Space Telescope. For the most part, the numerical computations will be coded in Python and incorporated into Astropy. In addition to specific computations, a full set of basic tools to manipulate data (i/o, basic model fitting, statistics, plotting, etc) geared toward JWST and similar types of astronomical data will be provided. Use cases have been developed for most of the JWST observing modes to help identify the tasks where tools are most needed and development is underway on some of the tools and infrastructure. Many of the tools will have broad applicability beyond JWST, so it makes sense for the code to be open source and the requirements gathering and development to be a broad community effort.

Mode of presentation: poster

Applicable ADASS XXIV theme category: Data Analysis / Pipelines