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Grammar suggestions #53

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6 changes: 3 additions & 3 deletions joss_paper_1.0/paper.md
Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@ Magritte is a software library for 3D radiative transfer and synthetic observati
which currently focusses on atomic and molecular line transfer.
It is mainly written in C++ and can either be used as a Python package or
as a C++ library. To compute the radiation field, a deterministic ray-tracer
and a formal solver are employed, i.e. rays are traced through the model and the
and a formal solver are employed, i.e., rays are traced through the model and the
radiative transfer equation is solved along those rays [@DeCeuster:2019]. This
is in contrast to most radiative transfer solvers which employ (probabilistic)
Monte Carlo techniques [@Noebauer:2019]. By virtue of minimal assumptions about
Expand All @@ -84,7 +84,7 @@ observed, makes it difficult to interpret the observations and necessitates the
3D hydrodynamics, chemistry and radiative transfer models to study their origin and
evolution [@ElMellah:2020; @Maes:2021; @Malfait:2021]. Their intricate
morpho-kinematics, moreover, makes their appearance in observations far from evident
(see e.g.\ \autoref{fig:example}). Therefore, to study these and other complex
(e.g.,\ \autoref{fig:example}). Therefore, to study these and other complex
morpho-kinematical objects, it is essential to understand how their models would
appear in observations. This can be achieved, by creating synthetic observations
with Magritte.
Expand All @@ -104,7 +104,7 @@ further research in computational radiative transfer. Current active research to
include: efficient parallelisation and acceleration strategies on modern
high-performance computing systems, acceleration of convergence in the non-linear
coupling between the radiation field and the medium, and uncertainty quantification in
radiative transfer through probabilistic numerical methods [see e.g.\ @DeCeuster:2021].
radiative transfer through probabilistic numerical methods [e.g.,\ @DeCeuster:2021].


# Acknowledgements
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