Palestrante
Descrição
Magnetars are neutron stars with extremely intense magnetic fields and are commonly associated with supernova remnants and pulsar wind nebulae, which are potential sources of Galactic cosmic rays. These objects are expected to emit non-thermal very high-energy gamma rays, indicative of particle acceleration processes. This study investigates the very high-energy gamma-ray emission in the regions surrounding three magnetars: CXOU J1714-3810, Swift J1834-0846, and SGR 1806-20. Using the Gammapy software, we conducted gamma-ray analyses in preparation for future analyses with the Cherenkov Telescope Array Observatory (CTAO), the next generation of ground-based gamma-ray observatories. To achieve this, we performed 1D spectrum simulations for CTAO observations based on a spectral model derived from multi-telescope data through simultaneous likelihood fit. Sensitivity curves were also examined considering various instrument response functions (IRFs) and observation times to assess the detectability of CTAO. Simulations indicate that the regions of the CXOU J1714-3810 and Swift J1834-0846 magnetars are observable by both the southern and northern hemisphere telescope arrays, achieving a mean statistical significance ($S_{\rm mean}$) greater than $10 \, \sigma$ and $30 \, \sigma$, respectively, for observation times ($t_{\rm obs}$) longer than $5$ hours. In contrast, the magnetar region of SGR 1806-20 shows a lower photon flux, requiring a $t_{\rm obs} > 30$ hours to achieve $S_{\rm mean} > 5 \, \sigma$. Furthermore, the sensitivity curve analysis revealed better performance of the CTAO South full array in detecting the three modeled sources and that CTAO observations should improve spectral resolution around $10$ TeV, providing more precise constraints on the spectral model parameters and a better understanding of the energy flux decay behavior. These results highlight the CTAO's potential to significantly advance the study of gamma-ray emissions in magnetar regions and the contribution of these sources to multi-messenger emissions.
