Modeling the Multi-Wavelength Emission of Shell-Type Supernova Remnant RX J1713.7-3946
Qiang Yuan, Siming Liu, Zhonghui Fan, Xiaojun Bi, Christopher L. Fryer

TL;DR
This study models the multi-wavelength emission of supernova remnant RX J1713.7-3946 using MCMC to compare leptonic, hadronic, and hybrid scenarios, revealing the hadronic model best fits the spectrum but requires high energy input.
Contribution
It systematically compares different emission models for SNR RX J1713.7-3946 using multi-wavelength data and MCMC, providing new insights into their parameter constraints and physical plausibility.
Findings
The leptonic model has well-constrained parameters but fits TeV data poorly.
The hybrid model improves spectral fit with an additional parameter.
The hadronic model best fits the spectrum but implies high energy input.
Abstract
Emission mechanisms of the shell-type supernova remnant (SNR) RX J1713.7-3946 are studied with multi-wavelength observational data from radio, X-ray, GeV -ray to TeV -ray band. A Markov Chain Monte Carlo method is employed to explore the high-dimensional model parameter space systematically. Three scenarios for the -ray emission are investigated: the leptonic, the hadronic and a hybrid one. Thermal emission from the background plasma is also included to constrain the gas density, assuming ionization equilibrium, and a 2 upper limit of about 0.03 cm is obtained as far as thermal energies account for a significant fraction of the dissipated kinetic energy of the SNR shock. Although systematic errors dominate the of the spectral fit of all models, we find that 1) the leptonic model has the best constrained model parameters, whose values can…
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