UNIMAP: a generalized least-squares map maker for Herschel data
Date Issued
2015
Author(s)
Piazzo, Lorenzo
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Calzoletti, Luca
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•
Pestalozzi, Michele
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•
•
•
Description
We would like to thank David Ikhenaode (DIET) and Luca De Nardis (DIET) for helping with the compiler and Eugenio Schisano (IAPS) for performing initial performance verification. Moreover unimap is indebted to its users, who often gave suggestions or spotted problems, and in particular with Kazi Kljrygl (ESTEC) and Bruno Altieri (ESAC). Moreover, we are deeply indebted to the anonymous reviewer for his precious suggestions.
Abstract
The Herschel space telescope hosts two infrared photometers having an unprecedented resolution, sensitivity and dynamic range. The map making, i.e. the formation of sky images from the instruments' data, is critical for the full exploitation of the satellite and is a difficult task, since the readouts are affected by several disturbances, most notably by correlated noise. An effective map making approach is based on generalized least squares (GLS). However, when applied to Herschel data this approach poses several challenges and requires a specific pre- and post-processing. In the paper, we describe these challenges and introduce a set of algorithms and procedures which successfully address the issues. We also describe the implementation of the procedures and how these are integrated into an image formation software called UNIMAP, which is the first GLS map maker capable of automatically producing quality Herschel images with manageable memory and complexity requirements.
Volume
447
Issue
2
Start page
1471
Issn Identifier
0035-8711
Ads BibCode
2015MNRAS.447.1471P
Rights
open.access
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