English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In order to enhance accuracy of astrophysical estimates obtained onAdaptive-optics (AO) images, such as photometry and astrometry, we investigatea new concept to constrain the Point Spread Function (PSF) model called PSFReconstruction and Identification for Multi-sources characterizationEnhancement (PRIME), that handles jointly the science image and the AO controlloop data. We present in this paper the concept of PRIME and validate it onKeck II telescope NIRC2 images. We show that by calibrating the PSF model overthe scientific image, PSF reconstruction achieves 1\% and 3 mas of accuracy onrespectively the Strehl-ratio and the PSF full width at half maximum. We showon NIRC2 binary images that PRIME is sufficiently robust to noise to retainphotometry and astrometry precision below 0.005 mag and 100$\mu$as on a $m_H=$14 mag object. Finally, we also validate that PRIME performs a PSF calibrationon the triple system Gl569BAB which provides a separation of 66.73$\pm 1.02$and a differential photometry of 0.538$\pm 0.048$, compared to the referencevalues obtained with the extracted PSF which are 66.76 mas $\pm$ 0.94 and 0.532mag $\pm$ 0.041.

PRIME: Psf Reconstruction and Identification for Multiple sources characterization Enhancement. Application to Keck NIRC2 imager