The search for fast transients with CZTI

Creators: Sharma, Y.; Marathe, A.; Bhalerao, V.; Shenoy, V.; Waratkar, G.; Nadella, D.; Page, P.; Hebbar, P.; Vibhute, A.; Bhattacharya, D.; Rao, A. R.; Vadawale, S.

Abstract

The Cadmium–Zinc–Telluride Imager on AstroSat has proven to be a very effective All-Sky monitor in the hard X-ray regime, detecting over three hundred GRBs and putting highly competitive upper limits on X-ray emissions from gravitational wave sources and fast radio bursts. We present the algorithms used for searching for such transient sources in CZTI data, and for calculating upper limits in case of non-detections. We introduce CIFT: the CZTI Interface for Fast Transients, a framework used to streamline these processes. We present details of 87 new GRBs detected by this framework that were previously not detected in CZTI.

Additional Information

© 2021 Indian Academy of Sciences. Received 03 November 2020; Accepted 17 January 2021; Published 06 July 2021. CZT-Imager is built by a consortium of Institutes across India. The Tata Institute of Fundamental Research, Mumbai, led the effort with instrument design and development. Vikram Sarabhai Space Centre, Thiruvananthapuram provided the electronic design, assembly and testing. ISRO Satellite Centre (ISAC), Bengaluru provided the mechanical design, quality consultation and project management. The Inter University Centre for Astronomy and Astrophysics (IUCAA), Pune did the Coded Mask design, instrument calibration, and Payload Operation Centre. Space Application Centre (SAC) at Ahmedabad provided the analysis software. Physical Research Laboratory (PRL) Ahmedabad, provided the polarisation detection algorithm and ground calibration. A vast number of industries participated in the fabrication and the University sector pitched in by participating in the test and evaluation of the payload. The Indian Space Research Organisation funded, managed and facilitated the project. This work utilised various software including Python, AstroPy (Robitaille et al. 2013), NumPy (van der Walt et al. 2011), Matplotlib (Hunter 2007), https://github.com/jnothman/upsetplot/UpSetPlot (Lex et al. 1983), and ngrok.

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