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We describe a system for the automatic quantification of structure in spiralgalaxies. This enables translation of sky survey images into data needed tohelp address fundamental astrophysical questions such as the origin of spiralstructure---a phenomenon that has eluded theoretical description despite 150years of study (Sellwood 2010). The difficulty of automated measurement isunderscored by the fact that, to date, only manual efforts (such as the citizenscience project Galaxy Zoo) have been able to extract information about largesamples of spiral galaxies. An automated approach will be needed to eliminatemeasurement subjectivity and handle the otherwise-overwhelming image quantities(up to billions of images) from near-future surveys. Our approach automaticallydescribes spiral galaxy structure as a set of arcs, precisely describing spiralarm segment arrangement while retaining the flexibility needed to accommodatethe observed wide variety of spiral galaxy structure. The largest existingquantitative measurements were manually-guided and encompassed fewer than 100galaxies, while we have already applied our method to more than 29,000galaxies. Our output matches previous information, both quantitatively oversmall existing samples, and qualitatively against human classifications fromGalaxy Zoo.

Automated Quantitative Description of Spiral Galaxy Arm-Segment Structure