PSF reconstruction validated using on-sky CANARY data in MOAO mode

TL;DR

This paper presents a PSF reconstruction algorithm for MOAO systems validated with on-sky data from the CANARY demonstrator, achieving high correlation with actual PSFs and improving post-processing in integral field spectroscopy.

Contribution

The paper introduces a novel PSF reconstruction method using atmospheric tomography for MOAO systems, validated with extensive on-sky data from CANARY, enhancing AO correction analysis.

Findings

Reconstructed over 450 on-sky PSFs with high correlation.

Achieved 92.3% correlation between reconstructed and sky Strehl ratios.

Demonstrated effective PSF estimation using atmospheric tomography.

Abstract

In preparation of future Multi-Object Spectrographs (MOS) whose one of the major role is to provide an extensive statistical studies of high redshifted galaxies surveyed, the demonstrator Canary has been designed to tackle technical challenges related to open-loop Adaptive-Optics (AO) control with jointed Natural Guide Star (NGS) and Laser Guide Star (LGS) tomography. We have developed a Point Spread Function (PSF)-Reconstruction algorithm dedicated to MOAO systems using system telemetry to estimate the PSF potentially anywhere in the observed field, a prerequisite to post- process AO-corrected observations in Integral Field Spectroscopy (IFS). In this paper we show how to handle off-axis data to estimate the PSF using atmospheric tomography and compare it to a classical approach that uses on-axis residual phase from a truth sensor observing a natural bright source. We have reconstructed over 450 on-sky Canary PSFs and we get bias/1-${\sigma}$ standard-deviation (std) of 1.3/4.8 on the H-band Strehl ratio (SR) with 92.3% of correlation between reconstructed and sky SR. On the Full Width at Half Maximum (FWHM), we get respectively 2.94 mas, 19.9 mas and 88.3% for the bias, std and correlation. The reference method achieves 0.4/3.5/95% on the SR and 2.71 mas/14.9 mas/92.5% on the FWHM for the bias/std/correlation.