H-ATLAS: PACS imaging for the Science Demonstration Phase
Edo Ibar, R. J. Ivison, A. Cava, G. Rodighiero, S. Buttiglione, P., Temi, D. Frayer, J. Fritz, L. Leeuw, M. Baes, E. Rigby, A. Verma, S., Serjeant, T. Muller, R. Auld, A. Dariush, L. Dunne, S. Eales, S. Maddox, P., Panuzzo, E. Pascale, M. Pohlen, D. Smith, G. de Zotti

TL;DR
This paper details the data reduction process for Herschel PACS imaging in the H-ATLAS survey, including noise removal, PSF characterization, and achieving science-quality images for a large sky region.
Contribution
It introduces a customized data reduction pipeline for Herschel PACS data, improving glitch removal and noise filtering for large-area survey imaging.
Findings
Effective glitch removal process implemented.
Achieved ~2 arcsec astrometric accuracy.
Final sensitivities of 125-165 mJy at 100μm.
Abstract
We describe the reduction of data taken with the PACS instrument on board the Herschel Space Observatory in the Science Demonstration Phase of the Herschel-ATLAS (H-ATLAS) survey, specifically data obtained for a 4x4-deg^2 region using Herschel's fast-scan (60 arcsec/s) parallel mode. We describe in detail a pipeline for data reduction using customised procedures within HIPE from data retrieval to the production of science-quality images. We found that the standard procedure for removing Cosmic-Ray glitches also removed parts of bright sources and so implemented an effective two-stage process to minimise these problems. The pronounced 1/f noise is removed from the timelines using 3.4- and 2.5-arcmin boxcar high-pass filters at 100 and 160-um. Empirical measurements of the point-spread function (PSF) are used to determine the encircled energy fraction as a function of aperture size. For…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
