2021
DOI: 10.3847/1538-4357/ac02be
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The Lightweaver Framework for Nonlocal Thermal Equilibrium Radiative Transfer in Python

Abstract: Tools for computing detailed optically thick spectral line profiles out of local thermodynamic equilibrium have always been focused on speed, due to the large computational effort involved. With the Lightweaver framework, we have produced a more flexible, modular toolkit for building custom tools in a high-level language, Python, without sacrificing speed against the current state of the art. The goal of providing a more flexible method for constructing these complex simulations is to decrease the barrier to e… Show more

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Cited by 22 publications
(17 citation statements)
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“…In Jenkins & Keppens (2021, 2022, we used the MPI-AMRVAC 2.0 toolkit (Xia et al 2018;Keppens et al 2021) to construct realistic 2.5 & 3 dimensional representations of solar prominences and filaments (see also, Kaneko & Yokoyama 2018). This was corroborated through a direct comparison between simulations and observations.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In Jenkins & Keppens (2021, 2022, we used the MPI-AMRVAC 2.0 toolkit (Xia et al 2018;Keppens et al 2021) to construct realistic 2.5 & 3 dimensional representations of solar prominences and filaments (see also, Kaneko & Yokoyama 2018). This was corroborated through a direct comparison between simulations and observations.…”
Section: Methodsmentioning
confidence: 99%
“…The recently developed Lightweaver framework (Osborne & Milić 2021) is used to solve the radiative transfer equation and statistical equilibrium equations for a given stratification of atmospheric parameters. Lightweaver determines the non LTE populations of the species in the plasma by iteratively computing the associated radiation field (using the cubic Bézier short characteristic formal solver of de la Cruz Rodríguez & Piskunov (2013)) and then updating the atomic level populations taking into account the updated radiative and collisional rates (using the fully preconditioned Multilevel Accelerated Lambda Iteration (MALI) method (Rybicki & Hummer 1992;Uitenbroek 2001)).…”
Section: The Lightweaver Frameworkmentioning
confidence: 99%
“…Note that a new radiation transfer code capable of including time-dependent effects (if sufficiently high-cadence snapshots are available) and processes such as PRD and overlapping transitions has recently been developed: Lightweaver (Osborne and Milić, 2021). This exciting new resource has not yet been used to study IRIS observables (to my knowledge!)…”
Section: Forward Modelling Iris Observablesmentioning
confidence: 99%
“…The atomic level populations start from statistical equilibrium, then at each timestep as the radiation from the boundary condition changes, the populations are updated in a time-dependent fashion, and the outgoing intensity is computed. All of the models shown here are simulated using the Lightweaver framework (Osborne & Milić 2021), with boundary conditions treated as coupled radiative transfer models using RA-DYN's thermodynamics where necessary, thanks to the flexibility of Lightweaver. In the two-dimensional slab, the BESSER formal solver of Štěpán & Trujillo Bueno (2013) is used, along with linear interpolation of atmospheric parameters to grid-ray intersections where needed.…”
Section: Two-dimensional Slabmentioning
confidence: 99%
“…The shape of Ca 854.2 nm is very sensitive to the electron density in the line core formation region (e.g. see the example in Osborne & Milić 2021;Bjørgen et al 2019), and it is likely that this is the primary origin of the differences, as the statistical equilibrium with fixed electron density (central panel), agrees well with the full time-dependent results, with slight discrepancies in line core depth over the first 100 km of 𝑥. This agrees well with the results found in time-dependent plane-parallel models presented in Section 5.5 of Osborne (2021).…”
Section: Statistical Equilibrium Comparisonmentioning
confidence: 99%