POSyTIVE is a simulation framework that combines GRB population synthesis with prompt and afterglow emission models to forecast CTA detection rates; this paper presents its design and early tests.
astroplan: An Open Source Observation Planning Package in Python
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abstract
We present astroplan - an open source, open development, Astropy affiliated package for ground-based observation planning and scheduling in Python. astroplan is designed to provide efficient access to common observational quantities such as celestial rise, set, and meridian transit times and simple transformations from sky coordinates to altitude-azimuth coordinates without requiring a detailed understanding of astropy's implementation of coordinate systems. astroplan provides convenience functions to generate common observational plots such as airmass and parallactic angle as a function of time, along with basic sky (finder) charts. Users can determine whether or not a target is observable given a variety of observing constraints, such as airmass limits, time ranges, Moon illumination/separation ranges, and more. A selection of observation schedulers are included which divide observing time among a list of targets, given observing constraints on those targets. Contributions to the source code from the community are welcome.
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astro-ph.HE 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
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POSyTIVE -- a GRB population study for the Cherenkov Telescope Array (ICRC-2019)
POSyTIVE is a simulation framework that combines GRB population synthesis with prompt and afterglow emission models to forecast CTA detection rates; this paper presents its design and early tests.