Subspace Least Square Approach for Drift Removal with Application to Herschel Data

2013/01/07 by Lorenzo Piazzo, Piazzo, Lorenzo · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Adaptive optics and wavefront sensing #Calibration and Measurement Techniques #FOS: Physical sciences #Image and Signal Denoising Methods #Instrumentation and Methods for Astrophysics (astro-ph.IM) #astro-ph.IM

paper · pdf · doi:10.48550/arxiv.1301.1246

22 pages, no figures

arxiv created 2013/01/07 · openalex publication_date 2013/01/07 · arxiv updated 2013/01/08 · openalex created_date 2016/09/16 · openalex updated_date 2026/07/28

Abstract

We present a method to estimate and remove the baseline drift affecting the data produced by the two infrared imaging photometers onboard the ESA Herschel satellite, namely PACS and SPIRE. The method exploits a Least Square approach which is performed after that the signal component has been removed from the data by means of a projection into an appropriate subspace. We present the method, discuss its performance and implementation details and show that it is perfectly suited for Herschel data, for which it can ideally guarantee a complete drift removal.

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