The goal of the science data pipeline is to efficiently and consistently analyze the large volume of data acquired by the ACS GTO programs. Our goal is to produce a pipeline which accurately measures the relevant scientific parameters with as little human intervention as possible. Although the pipeline is designed for GTO data, it will also be useful for analyzing other data from GO and parallel programs.
Our philosophy is to use existing software whenever possible to leverage off the large amount of community effort which has already gone into creating software to effectively analyze HST data. We also plan to use a modular approach using such software as Python (or Pyraf ). Much of the pipeline software will run on an Unix cluster (possibly a Linux cluster using MOSIX.)
Pipeline requirements for individual GTO programs can be found here. A requirements document for the pipeline is now being prepared. A document describing the requirements for a grism science pipeline can be found here.
The preliminary flowchart for the science pipeline for the Galaxies and Clusters of Galaxies
GTO programs is given below.
Rychard Bouwens has been working on developing a ACS simulator. His preliminary ACS signal to noise calculations can be found here. Also, Narcíso Benitez has put together some calculations regarding the best combination of filters and exposure times for accurate photometric redshift estimates here.
Last updated 26 January 2006 17:19:22
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