An Analysis of Spikes in Atmospheric Imaging Assembly (AIA) Data
Peter R. Young, Nicholeen M. Viall, Michael S. Kirk, Emily I. Mason, and Lakshmi Pradeep Chitta

TL;DR
This study investigates false positives caused by despiking algorithms in solar EUV images, revealing that a significant portion of brightening features are affected, which impacts the analysis of solar phenomena.
Contribution
The paper introduces a method to identify false positives in AIA data caused by despiking, quantifies their prevalence, and assesses their impact on solar feature analysis.
Findings
Approximately 20% of features affected by despiking are identified by the three-spike method.
On average, 35 solar features per ten-minute sequence have their intensities modified by despiking.
Most affected features are compact brightenings, with 96% classed as EUV bursts.
Abstract
The Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) returns high-resolution images of the solar atmosphere in seven extreme ultraviolet (EUV) wavelength channels. The images are processed on the ground to remove intensity spikes arising from energetic particles hitting the instrument, and the despiked images are provided to the community. In this article a three-hour series of images from the 171 A channel obtained on 28 February 2017 was studied to investigate how often the despiking algorithm gave false positives caused by compact brightenings in the solar atmosphere. The latter were identified through spikes appearing in the same detector pixel for three consecutive frames. 1096 examples were found from the 900 image frames. These "three-spikes" were assigned to 126 dynamic solar features, and it is estimated that the three-spike method identifies 20%…
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