Hostname: page-component-76fb5796d-r6qrq Total loading time: 0 Render date: 2024-04-26T06:15:03.172Z Has data issue: false hasContentIssue false
  • English
  • Français

Optimal Multiwavelength Source Detection: Experience Gained from the WISE Mission

Published online by Cambridge University Press:  02 January 2013

K. A. Marsh  and
T. H. Jarrett
K. A. Marsh*
Affiliation:
Infrared Processing and Analysis Center, California Institute of Technology 100–22, Pasadena, CA 91125, USA
T. H. Jarrett
Affiliation:
Infrared Processing and Analysis Center, California Institute of Technology 100–22, Pasadena, CA 91125, USA
*
BCorresponding author. Email: kam@ipac.caltech.edu
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We discuss the optimal detection of point sources from multiwavelength imaging data using an approach, referred to as MDET, which requires no prior knowledge of the source spectrum. MDET may be regarded as a somewhat more general version of the so-called ‘chi-squared’ technique. We describe the theoretical basis of the technique, and show examples of its performance with four-channel infrared broadband imaging data from the WISE mission. We also discuss the potential benefits of applying it to the multifrequency data cubes of the ASKAP surveys, and suggest that it could increase the detection sensitivity of searches for neutral hydrogen emission at moderately high redshifts.

Keywords

methods: data analysismethods: observationaltechniques: image processing
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 29 , Special Issue 3: Source Finding and Visualisation , 2012 , pp. 269 - 275
Copyright
Copyright © Astronomical Society of Australia 2012

References

Chang, T.-C., Pen, U.-L., Bandura, K. & Peterson, J. B., 2010, Nature, 466, 463Google Scholar
Cutri, R. M. et al. , 2011, Explanatory Supplement to the WISE Preliminary Release, available at http://wise2.ipac.caltech.edu/docs/release/prelim/expsupGoogle Scholar
Jarrett, T. H. et al. , 2011, ApJ, 735, 112CrossRefGoogle Scholar
Johnston, S. et al. , 2008, Science With ASKAP (arXiv:0810.5187)CrossRefGoogle Scholar
Johnston, S., Feain, I. J. & Gupta, N., 2009, ASPC, 407, 446Google Scholar
Khandai, N., Sethi, S. K., Di Matteo, T., Croft, R. A. C., Springel, V., Jana, A. & Gardner, J. P., 2011, MNRAS, 415, 2580Google Scholar
Koribalski, B., 1996, ASPC, 106, 238Google Scholar
Mainzer, A. et al. , 2011, ApJ, 726, 30CrossRefGoogle Scholar
Rawlings, S., Abdalla, F. B., Bridle, S. L., Blake, C. A., Baugh, C. M., Greenhill, L. J. & van der Hulst, J. M., 2004, in Science with the Square Kilometre Array, ed. Carilli, C. & Rawlings, S., New Astronomy Reviews, Vol. 48 (Elsevier)Google Scholar
Szalay, A. S., Connolly, A. J. & Szololy, G. P., 1999, AJ, 117, 68CrossRefGoogle Scholar
Wright, E. L. et al. , 2010, AJ, 140, 1868CrossRefGoogle Scholar
Zwaan, M., 2006, in Cosmology, Galaxy Formation and Astroparticle Physics on the Pathway to the SKA, ed. Klöckner, H.-R., Jarvis, M. & Rawlings, S. (Oxford, UK: ASTRON)Google Scholar