aplc_optimization: an apodized pupil Lyot coronagraph design survey toolkit¶
aplc_optimization is a Python software toolkit for exploring apodized pupil lyot coronagraph (APLC)
solutions for abitrary telescope apertures. It’s object-orientated approach simplifies
the interface for sampling large parameter spaces, and enables flexibility for implementing various mask architectures
and symmetry cases.
Figure 1: Analysis results from a HiCAT design study.¶
The aplc_optimization toolkit was developed by the Segmented Coronagraph Design & Analysis (SCDA) research team at the Space Telescope Science Institute
(STScI) with the support of the NASA Exoplanet Exploration Program (ExEP) and is privately hosted at github.com/spacetelescope/aplc_optimization.
Getting started with aplc_optimization¶
How to cite aplc_optimization
In addition to this documentation, the aplc_optmization toolkit is described in the following references. Users of aplc_optimization are encouraged to cite one of these.
St. Laurent et al. 2018, “Apodized pupil Lyot coronagraphs designs for future segmented space telescopes”,, Proc. SPIE. 109682W
Zimmerman et al. 2016, “Lyot coronagraph design study for large, segmented space telescope apertures”, Proc. SPIE. 99041Y
If there is no appropriate place in the body of text to cite these proceedings, please include something along the lines of the following in your acknowledgements:
“This research made use if aplc_optimization, an object-orientated toolkit for performing Pupil Lyot coronagraph design surveys for segmented telescope apertures.”
Acknowledgements:¶
The Space Telescope Science Institute collaborators, in particular, the Segmented Coronagraph Design and Analysis (SCDA) team.
The
aplc_optimization*package was created in support of the Segmented Coronagraph Design and Analysis (SCDA) study, funded by NASA’s Exoplanet Exploration Program (ExEP). The goal of this study is to develop viable coronagraph instrument concepts for a LUVOIR-type mission. The apodized pupil Lyot coronagraph (APLC) is one of several coronagraph design families that the SCDA study is assessing.