Low noise flux estimate and data quality control monitoring in EUCLID-NISP cosmological survey

TL;DR

This paper introduces a novel, unbiased flux estimation method for Euclid NISP detectors that improves data quality control and anomaly detection, ensuring the mission's precise redshift measurements.

Contribution

The paper presents an analytic, unbiased flux fitting technique for correlated Poisson data, enhancing data quality monitoring in Euclid's cosmological survey.

Findings

The method provides a reliable quality factor for data assessment.

It outperforms existing techniques in signal estimation accuracy.

Effective anomaly detection demonstrated on flight-like detectors.

Abstract

Euclid mission is designed to understand the dark sector of the universe. Precise redshift measurements are provided by H2RG detectors. We propose an unbiased method of fitting the flux with Poisson distributed and correlated data, which has an analytic solution and provides a reliable quality factor - fundamental features to ensure the goals of the mission. We compare our method to other techniques of signal estimation and illustrate the anomaly detection on the flight like detectors. Although our discussion is focused on Euclid NISP instrument, much of what is discussed will be of interest to any mission using similar near-infrared sensors