Da Silva, R. and Radovich, M. and Bonchi, A. and Faustini, F. and Frailis, M. and Polenta, G. and Bouwens, R. and Capak, P. and Jahnke, K. and Kazandjian, M. and Liu, X. C. and Maino, D. and Teplitz, H. and Wachter, S. and Barbier, R. and Ealet, A. and Kubik, B. and Carretero, J. and Jullo, E. and Schultheis, M. and Seidel, G. and Serrano, S. and Tallada, P. and Tonello, N. (2019) Euclid Near-infrared Imaging Reduction Pipeline: Astrometric Calibration, Resampling and Stacking. In: Astronomical Data Analysis Software and Systems XXVI. Astronomical Society of the Pacific Conference Series. No.521. Astronomical Society of the Pacific , San Francisco, CA, pp. 311-314. ISBN 978-1-58381-929-6. https://resolver.caltech.edu/CaltechAUTHORS:20191202-081233387
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Abstract
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.
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Additional Information: | © 2019 Astronomical Society of the Pacific. We thank the Istituto Nazionale di Astrofisica (INAF) for its financial support, and the use of data and software facilities from the ASI Science Data Center (ASDC), managed by the Italian Space Agency (ASI). | ||||||||||||
Group: | Infrared Processing and Analysis Center (IPAC) | ||||||||||||
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Series Name: | Astronomical Society of the Pacific Conference Series | ||||||||||||
Issue or Number: | 521 | ||||||||||||
Record Number: | CaltechAUTHORS:20191202-081233387 | ||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20191202-081233387 | ||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||
ID Code: | 100123 | ||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||
Deposited By: | Tony Diaz | ||||||||||||
Deposited On: | 02 Dec 2019 17:59 | ||||||||||||
Last Modified: | 02 Dec 2019 17:59 |
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