| Name: Debalina Kar |
| Affiliation: Aryabhatta Research Institute of Observational Sciences |
| Conference ID: ASI2026_269 |
| Title: Integrating Multi-Instrument Data to Improve Gamma Ray Burst Classification and Progenitor Constraints |
| Abstract Type: Poster |
| Abstract Category: High Energy Phenomena, Fundamental Physics and Astronomy |
| Author(s) and Co-Author(s) with Affiliation: Debalina Kar(Aryabhatta Research Institute of Observational Sciences), Kuntal Misra(Aryabhatta Research Institute of Observational Sciences), Dimple Panchal Jha(University of Birmingham), K. G. Arun(Chennai Mathematical Institute), L. Reshmi(Indian Institute of Space Science and Technology) |
| Abstract: Gamma-ray bursts (GRBs) are some of the most energetic transients in the Universe and are conventionally classified into short and long populations based primarily on their observed prompt emission duration (T_90 ). However, duration-based classification alone is often ambiguous due to instrumental effects, energy-band dependence, and the presence of complex temporal and spectral features. In this work, we investigate the limitations of traditional GRB classification schemes and explore a more physically motivated framework by integrating multi-instrument observations from two key missions: Swift and Fermi. We compare prompt emission properties, such as T_90 , spectral hardness, fluence, and variability timescales, across these instruments and identify a population of GRBs whose classifications are inconsistent or ambiguous. We examine correlations among the various parameters and conduct a systematic analysis of the ambiguous burst population, highlighting the uncertainties in their classification. In the future, combining spectral diagnostics along with comprehensive multi-wavelength afterglow modelling of the ambiguous population would provide a more physically motivated GRB classification framework. |
