Holistic spectroscopy: Complete reconstruction of a wide-field, multi-object spectroscopic image using a photonic comb
Janez Kos, Joss Bland-Hawthorn, Christopher H. Betters, Sergio, Leon-Saval, Martin Asplund, Sven Buder, Andrew R. Casey, Valentina D'Orazi,, Gayandhi de Silva, Ken Freeman, Geraint Lewis, Jane Lin, Sarah L. Martell,, Katharine Schlesinger, Sanjib Sharma, Jeffrey D. Simpson

TL;DR
This paper introduces a novel method using a photonic comb to precisely reconstruct wide-field multi-object spectroscopic images, enabling high-resolution stellar spectroscopy despite optical aberrations.
Contribution
It presents a forward modeling approach that employs a photonic comb to accurately map and correct optical aberrations in wide-field spectrographs, improving spectral resolution and uniformity.
Findings
Achieved spectral resolution 2.3 times higher than nominal.
Demonstrated precise spectral reconstruction across all fibres.
Simplified spectroscopic data reduction processes.
Abstract
The primary goal of Galactic archaeology is to learn about the origin of the Milky Way from the detailed chemistry and kinematics of millions of stars. Wide-field multi-fibre spectrographs are increasingly used to obtain spectral information for huge samples of stars. Some surveys (e.g. GALAH) are attempting to measure up to 30 separate elements per star. Stellar abundance spectroscopy is a subtle art that requires a very high degree of spectral uniformity across each of the fibres. However wide-field spectrographs are notoriously non-uniform due to the fast output optics necessary to image many fibre outputs onto the detector. We show that precise spectroscopy is possible with such instruments across all fibres by employing a photonic comb -- a device that produces uniformly spaced spots of light on the CCD to precisely map complex aberrations. Aberrations are parametrized by a set of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
