TL;DR
This paper demonstrates that discretizing radiation spectra into too few frequency bins causes significant errors in modeling astrophysical feedback processes, and proposes an optimized multi-frequency approach to improve accuracy.
Contribution
The authors develop a method for constructing optimal discrete spectra that significantly reduces errors in radiative transfer simulations compared to traditional discretization schemes.
Findings
Four-bin spectra can eliminate discretization errors in test cases.
Spectral discretization errors affect the size and shape of ionized regions.
Optimized spectra improve the accuracy of cosmological reionization models.
Abstract
The recent implementation of radiative transfer algorithms in numerous hydrodynamics codes has led to a dramatic improvement in studies of feedback in various astrophysical environments. However, because of methodological limitations and computational expense, the spectra of radiation sources are generally sampled at only a few evenly-spaced discrete emission frequencies. Using one-dimensional radiative transfer calculations, we investigate the discrepancies in gas properties surrounding model stars and accreting black holes that arise solely due to spectral discretization. We find that even in the idealized case of a static and uniform density field, commonly used discretization schemes induce errors in the neutral fraction and temperature by factors of two to three on average, and by over an order of magnitude in certain column density regimes. The consequences are most severe for…
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