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docs: update joss paper reference to UV plane
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steven-murray committed Apr 5, 2024
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Expand Up @@ -46,9 +46,19 @@ The full sensitivity calculation is rather involved and
computationally expensive in its most general form, however 21cmSense uses a few
key assumptions to accelerate the calculation:

1. The UV grid is chosen to have cells that are comparable to the instrument's beam size.
This maximizes UV-resolution while keeping the covariance between UV cells small
(since the UV footprint of a visibility does not extend beyond the cell significantly).
1. Each baseline (pair of antennas) in the interferometer intrinsically measures a dense
blob of 2D spatial Fourier modes of the sky intensity distribution, centred at a
particular Fourier coordinate *(u,v)* given by the displacement vector between the
antennas forming the baseline, and covering an area in this *(u,v)*-space that is given
by the Fourier-transform of the primary beam of the instrument.
The Fourier-space representation of the sky is thus
built up by collecting many baselines that cover the so-called "*(u,v)*-plane".
``21cmSense`` approximates this process of synthesising many baselines by
nearest-grid-point interpolation onto a regular grid in the *(u,v)*-plane.
Furthermore, importantly the *(u,v)*-grid is chosen to have cells that are comparable
to the instrument's Fourier-space beam size, so that a particular baseline essentially
measures a single cell in the grid, and no more.
This maximizes resolution while keeping the covariance between cells small.
This removes the need for tracking the full covariance between cells, and also removes
the need to perform a beam convolution, which can be expensive.
2. We do not consider flagging of visibilities due to RFI and other systematics, which
Expand Down Expand Up @@ -82,10 +92,13 @@ Some of the key new features introduced in this version of 21cmSense include:

`21cmSense` provides a simple interface for computing the expected sensitivity of
radio interferometers that aim to measure the 21cm line of neutral hydrogen.
This field is growing rapidly, with a number of experiments currently underway or in the planning stages.
Historically, `21cmSense` has been a trusted tool for the design of these experiments [@Pober2013; @Pober2014; @Greig2020] and for forecasting parameter constraints [@Greig2015; @Greig2017; @Greig2018].
This overhauled, modularized version of `21cmSense` provides a more user-friendly interface, improved performance, and the extensibility required for the next generation, as evidenced by its usage in the
literature [@Brietman2024,@Schosser2024].
This field is growing rapidly, with a number of experiments currently underway or in
the planning stages. Historically, `21cmSense` has been a trusted tool for the design of
these experiments [@Pober2013; @Pober2014; @Greig2020] and for forecasting parameter
constraints [@Greig2015; @Greig2017; @Greig2018].
This overhauled, modularized version of `21cmSense` provides a more user-friendly
interface, improved performance, and the extensibility required for the next generation,
as evidenced by its usage in the literature [@Brietman2024,@Schosser2024].

# Acknowledgements

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