Atmosphyre: Modelling Atmospheric Chromatic Dispersion for Multi-Object Spectrographs
J. Stephan, R. S\'anchez-Janssen (UK Astronomy Technology Centre)

TL;DR
Atmosphyre is a Python tool that models atmospheric dispersion effects on multi-object spectrographs, providing insights for instrument design and operational strategies to minimize flux losses.
Contribution
It introduces Atmosphyre, a novel Python package for characterizing atmospheric dispersion impacts on fiber multi-object spectrographs, with practical recommendations and application to ELT's MOSAIC.
Findings
Guiding wavelength should be bluer than the band mid-wavelength.
Aperture should be centered on the guiding wavelength's focal plane position.
Differential losses >10% are unavoidable under certain conditions.
Abstract
The wavelength dependent refraction of light in the atmosphere causes the chromatic dispersion of a target on the focal plane of an instrument. This is known as atmospheric dispersion, with one of the consequences being wavelength dependent flux losses which are difficult to minimise, requiring analysis in both instrument design and operations. We present Atmosphyre, a novel python package developed to characterise the impact of atmospheric dispersion on a spectrograph, with a focus on fibre multi-object spectrographs (MOS) which will be at the forefront of ground-based astronomy for the next few decades. We show example simulations and provide recommendations for minimising fibre MOS flux losses. We conclude that the guiding wavelength should typically be bluer than the observing band mid-wavelength, around 25-45% of the way through the band. The aperture should be centred on this…
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Taxonomy
TopicsAtmospheric and Environmental Gas Dynamics · Atmospheric Ozone and Climate
