AutoWISP: Automated Processing of Wide-Field Color Images
Angel E. Romero, Kaloyan Penev, S. Javad Jafarzadeh, Zoltan Csubry, Joel D. Hartman, Gaspar A. Bakos

TL;DR
AutoWISP is a software pipeline that enables citizen scientists to extract high-precision, multi-color stellar light curves from consumer-grade DSLR images, facilitating broader participation in astronomical photometry.
Contribution
This work introduces AutoWISP, a novel pipeline that converts DSLR color images into high-precision stellar light curves, expanding citizen science capabilities in astronomy.
Findings
Achieved sub-percent photometric precision with a Sony-alpha 7R II DSLR.
Demonstrated effective three-color photometry of stars.
Pipeline is adopted by Project PANOPTES for citizen science use.
Abstract
We have developed a software pipeline, AutoWISP, for extracting high-precision photometry from citizen scientists' observations made with consumer-grade color digital cameras (digital single-lens reflex, or DSLR, cameras), based on our previously developed tool, AstroWISP. The new pipeline is designed to convert these observations, including color images, into high-precision light curves of stars. We outline the individual steps of the pipeline and present a case study using a Sony-alpha 7R II DSLR camera, demonstrating sub-percent photometric precision, and highlighting the benefits of three-color photometry of stars. Project PANOPTES will adopt this photometric pipeline and, we hope, be used by citizen scientists worldwide. Our aim is for AutoWISP to pave the way for potentially transformative contributions from citizen scientists with access to observing equipment.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
