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NEW TECHNIQUES FOR HIGH-CONTRAST IMAGING WITH ADI: THE ACORNS-ADI SEEDS DATA REDUCTION PIPELINE

2012/09/30 by Timothy D. Brandt, Michael W. McElwain, Edwin L. Turner +47 · 63 citations
Earth and Planetary Sciences · Physics and Astronomy · #Adaptive optics and wavefront sensing #Data reduction #Detector #Geophysics and Gravity Measurements #Noise (video) #Noise reduction #Pipeline (software) #Reduction (mathematics) #Sensitivity (control systems) #Software #Stellar, planetary, and galactic studies #astro-ph.EP #astro-ph.IM

paper · pdf · doi:10.1088/0004-637x/764/2/183

published in The Astrophysical Journal 764(2), 183 (IOP Publishing) · 15 pages, 9 figures, accepted to ApJ. Replaced with accepted version; mostly minor changes. Software updated

arxiv created 2013/01/09 · openalex publication_date 2013/02/05 · arxiv updated 2015/06/11 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

We describe Algorithms for Calibration, Optimized Registration, and Nulling the Star in Angular Differential Imaging (ACORNS-ADI), a new, parallelized software package to reduce high-contrast imaging data, and its application to data from the SEEDS survey. We implement several new algorithms, including a method to register saturated images, a trimmed mean for combining an image sequence that reduces noise by up to ∼20%, and a robust and computationally fast method to compute the sensitivity of a high-contrast observation everywhere on the field of view without introducing artificial sources. We also include a description of image processing steps to remove electronic artifacts specific to Hawaii2-RG detectors like the one used for SEEDS, and a detailed analysis of the Locally Optimized Combination of Images (LOCI) algorithm commonly used to reduce high-contrast imaging data. ACORNS-ADI is written in python. It is efficient and open-source, and includes several optional features which may improve performance on data from other instruments. ACORNS-ADI requires minimal modification to reduce data from instruments other than HiCIAO. It is freely available for download at www.github.com/t-brandt/acorns-adi under a Berkeley Software Distribution (BSD) license.

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