Identifying and Measuring Satellite Streaks in DECam Images
Alexandra Serrano Mendoza, Meredith L. Rawls, Andr\'es Alejandro Plazas Malag\'on

TL;DR
This paper presents a workflow for detecting and measuring satellite streaks in DECam images, demonstrating that satellites are detectable but brightness varies, providing a foundation for assessing their impact on astronomy.
Contribution
The study introduces a novel method combining image filtering, Hough Transform detection, and photometry to identify and analyze satellite streaks in archival astronomical images.
Findings
Satellites are consistently detectable in DECam images.
Brightness of satellite streaks varies significantly across object types.
Method faces challenges detecting faint streaks and short-lived glints.
Abstract
The rapid growth of satellite constellations, particularly Starlink, is increasingly affecting ground-based astronomy. In this project, we developed a workflow to detect, identify, and measure the brightness of trails from artificial satellites and other orbiting objects in archival images from the Dark Energy Camera (DECam), available through the NOIRLab Data Archive. We filtered images with visible streaks, retrieved detector-level images, applied the Hough Transform (via satmetrics) to detect and align trails, and performed surface brightness photometry. We also used SatChecker to obtain likely identifications for each trail. Our sample of nine measured streaks includes Starlink satellites, a navigation satellite, a decommissioned science satellite, and a rocket body. Our results show that satellites and other orbiting objects are consistently detectable in DECam images, but their…
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Taxonomy
TopicsSpace Satellite Systems and Control · Astro and Planetary Science · CCD and CMOS Imaging Sensors
