May 16 – 18, 2025
College of Management, National Formosa University 國立虎尾科技大學第三校區文理暨管理大樓
Asia/Taipei timezone
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Refined Localization Algorithm of the Gamma-ray Transients Monitor (GTM) on board Formosat-8B

Not scheduled
20m
International Conference Hall 圓形國際會議廳 (College of Management, National Formosa University 國立虎尾科技大學第三校區文理暨管理大樓)

International Conference Hall 圓形國際會議廳

College of Management, National Formosa University 國立虎尾科技大學第三校區文理暨管理大樓

632 雲林縣虎尾鎮民主路63號文理暨管理大樓 第三校區圓形國際會議廳(文理暨管理大樓一樓) National Formosa University, 1F College of Managment, Huwei Township, Yunlin County, Taiwan
Board: 74
Poster Poster-HE

Speaker

Chih-En Wu (IoA, NTHU)

Description

The Gamma-ray Transients Monitor (GTM) is a secondary payload on board Formosat-8B (FS-8B). It aims to monitor Gamma Ray Bursts (GRBs) and other bright gamma-ray transients in the energy range from 50 keV to 2 MeV. GTM consists of two modules, each positioned on opposite sides of the FS-8B. Each module's sensors cover half of the sky. As a result, GTM can detect signals from all directions across the entire sky. In this paper, we introduce the refined GTM Localization Algorithm, which enhances previous constraints on spectrum model parameters by simultaneously fitting both the source’s location and spectrum with ad hoc simulations. In our previous localization algorithm, the whole set of different flux levels measured by each of the eight GTM detectors for a triggered event identified by the GTM Triggering Algorithm is fitted with simulated results for a GRB coming from different directions of three presumed soft, medium, and hard spectra. The best fit gives a quick result of the GRB direction and its rough spectral behavior. However, this method limited the fitted GRB spectra to a predefined set of assumed model parameters. The refined GTM Localization Algorithm incorporates the previous localization result as prior information and performs a joint fit of both the source location and spectral parameters thereby yielding more accurate localization and spectral characterization.

Section High Energy

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