The MICADO first light imager for the ELT: the PSF Reconstruction Software




Grazian, Andrea; Portaluri, Elisa; Simioni, Matteo; Arcidiacono, Carmelo; Gullieuszik, Marco; Hartke, Johanna; Jodlbauer, Daniel; Pedichini, Fernando; Piazzesi, Roberto; Vaccari, Piero; Vulcani, Benedetta; Wagner, Roland; Zanella, Anita

Jackson, Kathryn J.; Schmidt, Dirk; Vernet, Elise

SPIE Astronomical Telescopes + Instrumentation

PublisherSPIE

2024

Proceedings of SPIE : the International Society for Optical Engineering

Adaptive Optics Systems IX

Proceedings of SPIE - The International Society for Optical Engineering

130977D

13097

978-1-5106-7517-9

978-1-5106-7518-6

0277-786X

1996-756X

DOIhttps://doi.org/10.1117/12.3019757(external)

https://doi.org/10.1117/12.3019757(external)

https://arxiv.org/pdf/2407.09132(external)



MICADO is the first-light camera of the ESO ELT, allowing NIR imaging and long-slit spectroscopy assisted by adaptive optics. MICADO is now entering its construction phase, and the software for data reduction is reaching an adequate maturity level. The PSF Reconstruction (PSF-R) of MICADO is a software tool for the blind derivation of the PSF, only using adaptive optics telemetry data. An update of the status of the PSF-R service is provided here. The PSF-R prototype has been tested on ERIS@VLT data in order to check the reconstruction of on- and off-axis PSFs. The on-axis PSF-R is accurate at a few percent level on Strehl, FWHM, Encircled Energy, and half light radius, while for the off-axis case the match is within 10-15% at a distance of half isoplanatic angle. The first version of the workflow for the PSF-R pipeline has been developed and verified using the latest release of the ESO data processing system. A set of simulations has been implemented on the morphological analysis of distant galaxies, showing that the accuracy of the PSF-R matches the goals needed to study their morphology. In summary, the PSF-R team is on the right track towards the ELT first light.



Last updated on 2025-27-01 at 19:30