Organised by:
in collaboration with:

secretariat:

 

social media:


 



Accesso Utenti

ASI Science Data Center, INAF-Osservatorio Astronomico di Roma, Rome, Italy
Address:
Italy
Miscellaneous Information:

Abstract Reference: 30825
Identifier: O8.5
Presentation: Oral communication
Key Theme: 1 Reduction and Analysis Algorithms for Large Databases and Vice-versa 

Euclid near-infrared imaging reduction pipeline: astrometric calibration, resampling and stacking

Authors:
da Silva Ronaldo, Radovich Mario, Bonchi Andrea, Faustini Fabiana, Frailis Marco, Polenta Gianluca, Bouwens Rychard, Capak Peter, Jahnke Knud, Kazandjian Mher, Liu Xiang, Maino Davide, Teplitz Harry, Wachter Stefanie, Barbier Remi, Ealet  Anne, Kubik Bogna, Carretero Jorge, Jullo Eric, Schultheis Mathias, Seidel Gregor, Serrano Santiago, Tallada Pau, Tonello Nadia

Euclid is an ESA survey mission designed to understand the origin of the Universe’s accelerating expansion using weak gravitational lensing and redshift clustering as main probes. Very high image quality is required for galaxy shape measurements, while accurate photometry at visible and near-infrared wavelengths and near-infrared spectroscopy are needed to measure photometric and spectroscopic galaxy redshifts.

Within the Euclid Science Ground Segment, the near-infrared imaging (NIR) processing function has the task to reduce all the images produced by the near-infrared instrument (NISP) in photometric mode. Starting from Level 1 raw frames, the NIR pipeline shall produce individual images and stacked mosaics in Y, J, and H bands accounting for instrumental effects, subtracting the sky background, performing both astrometric and photometric calibrations, and providing all the information needed for catalogue production such as PSF, variance, weights, and quality flags.

After an overview of the pipeline design, we present the current status of the NIR processing function development. We focus on preliminary results from the application of astrometric calibration, resampling, and stacking procedures to simulated images, and we discuss the different approaches that we tested in order to fulfill specific requirements.