  Photometry of galaxies has typically focused on small, faint systems due to
their interest for cosmological studies. Large angular size galaxies, on the
other hand, offer a more detailed view into the properties of galaxies, but
bring a series of computational and technical difficulties that inhibit the
general astronomer from extracting all the information found in a detailed
galaxy image. To this end, a new galaxy photometry system has been developed
(mostly building on tools and techniques that have existed in the community for
decades) that combines ease of usage with a mixture of pre-built scripts. The
audience for this system is a new user (graduate student or non-optical
astronomer) with a fast, built-in learning curve to offer any astronomer, with
imaging data, a suite of tools to quickly extract meaningful parameters from
decent data. The tools are available either by a client/server web site or by
tarball for personal installation. The tools also provide simple scripts to
interface with various on-line datasets (e.g. 2MASS, Sloan, DSS) for data
mining capability of imaged data.
  As a proof of concept, we preform a re-analysis of the 2MASS Large Galaxy
Atlas to demonstrate the differences in an automated pipeline, with its
emphasis on speed, versus this package with an emphasis on accuracy. This
comparison finds the structural parameters extracted from the 2MASS pipeline is
seriously flawed with scale lengths that are too small by 50% and central
surface brightness that are, on average, 1 to 0.5 mags too bright. A cautionary
tale on how to reduce information-rich data such as surface brightness
profiles. This document and software can be found at
http://abyss.uoregon.edu/~js/archangel.
