A generalized event selection algorithm for AstroSat CZT Imager data

TL;DR

This paper introduces a new generalized event selection algorithm for AstroSat CZT Imager data, improving noise removal and event selection for various source types, including transient events like GRBs.

Contribution

The paper presents a novel event selection method that overcomes limitations of previous algorithms, applicable to all source types in CZTI data analysis.

Findings

Enhanced noise discrimination in CZTI data

Improved signal-to-noise ratio for GRB detection

Validated effectiveness through Poissonian behavior analysis

Abstract

The Cadmium Zinc Telluride (CZT) Imager on board AstroSat is a hard X-ray imaging spectrometer operating in the energy range of 20 $-$ 100 keV. It also acts as an open hard X-ray monitor above 100 keV capable of detecting transient events like the Gamma-ray Bursts (GRBs). Additionally, the instrument has the sensitivity to measure hard X-ray polarization in the energy range of 100 $-$ 400 keV for bright on-axis sources like Crab and Cygnus X-1 and bright GRBs. As hard X-ray instruments like CZTI are sensitive to cosmic rays in addition to X-rays, it is required to identify and remove particle induced or other noise events and select events for scientific analysis of the data. The present CZTI data analysis pipeline includes algorithms for such event selection, but they have certain limitations. They were primarily designed for the analysis of data from persistent X-ray sources where the source flux is much less than the background and thus are not best suited for sources like GRBs. Here, we re-examine the characteristics of noise events in CZTI and present a generalized event selection method that caters to the analysis of data for all types of sources. The efficacy of the new method is reviewed by examining the Poissonian behavior of the selected events and the signal to noise ratio for GRBs.