Detection of Noisy and Flickering Pixels from SWIFT BAT Event Data

TL;DR

This paper introduces new algorithms for detecting and removing noisy and flickering pixels from SWIFT BAT event data, emphasizing temporal variation analysis over traditional pixel-based methods to improve data quality.

Contribution

The paper presents a novel approach focusing on temporal variation analysis for detecting problematic pixels, differing from existing pixel-based techniques.

Findings

Effective identification of noisy pixels using temporal variation

Improved data quality after pixel elimination

New algorithms outperform current practices in detection accuracy

Abstract

This document presents novel algorithms for detection of noisy and flickering pixels from Burst Alert telescope event data and subsequent elimination of data from such pixels to create a filtered event file. The approach adopted for this purpose is quite different from the current practises and focuses more on the temporal variation of data in the detector pixels over long intervals of time against the current algorithms which follow a pixel based approach.