# Recovering saturated images for high dynamic Kernel-Phase analysis Application to the determination of dynamical masses for the system Gl 494AB

## TL;DR

This paper presents a method to reconstruct saturated pixels in high-dynamic-range images, enabling kernel-phase analysis to determine the orbital parameters and masses of the Gl 494AB system using archival Hubble data.

## Contribution

The authors introduce an interpolation technique to recover saturated pixels, allowing kernel-phase analysis on previously unusable saturated images.

## Key findings

- Reconstructed saturated pixels with sufficient accuracy for kernel-phase extraction.
- Applied method to archival Hubble images of Gl 494AB, improving orbital constraints.
- Derived more precise masses for the system's components.

## Abstract

Kernel-phase observables extracted from mid- to high-Strehl images are proving to be a powerful tool to probe within a few angular resolution elements of point sources. The attainable contrast is however limited by the dynamic range of the imaging sensors. The Fourier interpretation of images with pixels exposed beyond the saturation has so far been avoided. We show that in cases where the image is dominated by the light of a point source, we can use an interpolation to reconstruct the otherwise lost pixels with an accuracy sufficient to enable the extraction of kernel-phases from the patched image. We demonstrate the usability of our method by applying it to archive images of the Gl 494AB system, taken with the Hubble Space Telescope in 1997. Using this new data point along with other resolved observations and radial velocity measurements, we produce improved constraints on the orbital parameters of the system, and consequently the masses of its components.