Hostname: page-component-7479d7b7d-68ccn Total loading time: 0 Render date: 2024-07-10T12:30:38.122Z Has data issue: false hasContentIssue false
  • English
  • Français

Overview on Spectral Line Source Finding and Visualisation

Part of: Australian SKA Pathfinder

Published online by Cambridge University Press:  02 January 2013

B. S. Koribalski
B. S. Koribalski
Affiliation:
CSIRO Astronomy & Space Science, Australia Telescope National Facility, PO Box 76, Epping, NSW 1710, Australia Email: Baerbel.Koribalski@csiro.au
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.

Here I will outline successes and challenges for finding spectral line sources in large data cubes that are dominated by noise. This is a 3D challenge as the sources we wish to catalog are spread over several spatial pixels and spectral channels. While 2D searches can be applied, e.g. channel by channel, optimal searches take into account the 3-dimensional nature of the sources. In this overview I will focus on Hi 21-cm spectral line source detection in extragalactic surveys, in particular HIPASS, the Hi Parkes All-Sky Survey and WALLABY, the ASKAP Hi All-Sky Survey. I use the original HIPASS data to highlight the diversity of spectral signatures of galaxies and gaseous clouds, both in emission and absorption. Among others, I report the discovery of a 680 km s−1 wide Hi absorption trough in the megamaser galaxy NGC 5793. Issues such as source confusion and baseline ripples, typically encountered in single-dish Hi surveys, are much reduced in interferometric Hi surveys. Several large Hi emission and absorption surveys are planned for the Australian Square Kilometre Array Pathfinder (ASKAP): here we focus on WALLABY, the 21-cm survey of the sky (δ < + 30°; z < 0.26) which will take about one year of observing time with ASKAP. Novel phased array feeds (‘radio cameras’) will provide 30 deg2 instantaneous field-of-view. WALLABY is expected to detect more than 500 000 galaxies, unveil their large-scale structures and cosmological parameters, detect their extended, low-surface-brightness disks as well as gas streams and filaments between galaxies. It is a precursor for future Hi surveys with SKA Phase I and II, exploring galaxy formation and evolution. The compilation of highly reliable and complete source catalogs will require sophisticated source-finding algorithms as well as accurate source parametrisation.

Keywords

galaxiesmethods: data analysisradio lines: galaxiessurveys
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 29 , Special Issue 3: Source Finding and Visualisation , 2012 , pp. 359 - 370
Copyright
Copyright © Astronomical Society of Australia 2012

References

Allison, J. R., Sadler, E. M. & Whiting, M. T., 2012a, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Allison, J. R., et al. , 2012b, MNRAS, 423, 2601CrossRefGoogle Scholar
Bajaja, E., et al. , 1984, A&A, 141, 309Google Scholar
Bannister, K. W. & Cornwell, T. J., 2011, ApJS, 196, 16CrossRefGoogle Scholar
Barnes, D. G., et al. , 2001, MNRAS, 322, 486CrossRefGoogle Scholar
Barnes, D. G., Fluke, C. J., Bourke, P. D. & Parry, O. T., 2006, PASA, 23, 82CrossRefGoogle Scholar
Becciani, U., et al. , 2010, PASP, 122, 119CrossRefGoogle Scholar
Bertin, E. & Arnouts, S., 1996, A&AS, 317, 393Google Scholar
Cayatte, V., van Gorkom, J. H., Balkowski, C. & Kotanyi, C., 1990, AJ, 100, 604CrossRefGoogle Scholar
Chippendale, A., et al. , 2010, IEEE Symposium, 648Google Scholar
Chung, A., van Gorkom, J. H., Kenney, J. D. P., Crowl, H. & Vollmer, B., 2009, AJ, 138, 1741CrossRefGoogle Scholar
Cornwell, T., 2007, ASPC, 376, 223Google Scholar
Costa, A., Becciani, U., Gheller, C., Massimino, P., Krokos, M. & Grillo, A., 2011, ASPC, 442, 617Google Scholar
DeBoer, D., et al. , 2009, IEEE, 97, 1507CrossRefGoogle Scholar
Dickey, J. M., et al. , 2012, PASA, in pressGoogle Scholar
Dolag, K., Reinecke, M., Gheller, C. & Imboden, S., 2008, NJPh, 10, 125006CrossRefGoogle Scholar
Dolag, K., Reinecke, M., Gheller, C., Rivi, M., Krokos, M. & Jin, Z., 2011, NJPh, 10, 125006Google Scholar
Donley, J. L., et al. , 2005, AJ, 129, 220CrossRefGoogle Scholar
Duffy, A. R., Meyer, M. J., Staveley-Smith, L., Bernyk, M., Croton, D. J., Koribalski, B. S. & Westerlund, S., 2012, MNRAS, submittedGoogle Scholar
Eisenstein, D. J., et al. , 2011, AJ, 142, 72CrossRefGoogle Scholar
Emonts, B. H. C., et al. , 2008, MNRAS, 387, 197CrossRefGoogle Scholar
Emonts, B. H. C., Burnett, C., Morganti, R. & Struve, C., 2012, MNRAS, 421, 1421CrossRefGoogle Scholar
Flöer, L. & Winkel, B., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Fluke, C., English, J. & Barnes, D. G., 2010, in ADASSXIX, ASPCS, 434, 167Google Scholar
Fluke, C., Barnes, D. G. & Hassan, A. H., 2010, in Proc. 6th IEEE International Conf. on e-Science Workshops (e-ScienceW 2010), Brisbane, Queensland, Australia, 7–10 December 2010, pp. 15–20, arXiv:astro-ph/1012.2901Google Scholar
Gardner, F. F. & Whiteoak, J. B., 1986, MNRAS, 221, 537CrossRefGoogle Scholar
George, S. J., Stil, J. M. & Keller, B. W., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Gooch, R., 1995, ASPC, 77, 144Google Scholar
Gooch, R., 1996, ASPC, 101, 80Google Scholar
Hagiwara, Y., Kohno, K., Kawabe, R. & Nakai, N., 1997, PASJ, 49, 171CrossRefGoogle Scholar
Hancock, P., Murphy, T., Gaensler, B. M., Hopkins, A. & Curran, J. R., 2012, MNRAS, 422, 1812CrossRefGoogle Scholar
Hassan, A. & Fluke, C., 2011, PASA, 28, 150CrossRefGoogle Scholar
Hassan, A., Fluke, C. & Barnes, D. G., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Haynes, M. P., et al. , 2011, AJ, 142, 170CrossRefGoogle Scholar
Henning, P. A., et al. , 2000, AJ, 119, 2686CrossRefGoogle Scholar
Hollitt, C. P. & Johnston-Hollitt, M., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Hopkins, A. M., Miller, C. J., Connolly, A. J., Genovese, C., Nichol, R. C. & Wasserman, L., 2002, AJ, 123, 1086CrossRefGoogle Scholar
Hurley-Walker, , et al. , 2012, MNRAS, 419, 2921Google Scholar
Huynh, M., Hopkins, A., Norris, R., Hancock, P., Murphy, T., Jurek, R. & Whiting, M.T., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Jarrett, T. H., et al. , 2000, AJ, 120, 298CrossRefGoogle Scholar
Jarrett, T. H., et al. , 2012a, AJ, 144, 68CrossRefGoogle Scholar
Jarrett, T. H., et al. , 2012b, AJ, submittedGoogle Scholar
Jin, Z., Krokos, M., Rivi, M., Gheller, C., Dolag, K. & Reinecke, M., 2010, ICCS 2010 Conference (Amsterdam: Elsevier), Volume 1, Issue 1, arXiv:astro-ph/1004.1302Google Scholar
Johnston, S., et al. , 2008, ExA, 22, 151Google Scholar
Józsa, G., 2007, A&A, 468, 903Google Scholar
Józsa, G., et al. , 2010, WSRT APERTIF Expression of InterestGoogle Scholar
Juraszek, S. J., et al. , 2000, AJ, 119, 1627CrossRefGoogle Scholar
Jurek, R., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Jurek, R. & Brown, S., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Kamphuis, P., Peletier, R. F., van der Kruit, P. C. & Heald, G. H., 2011, MNRAS, 414, 3444CrossRefGoogle Scholar
Keith, M. J., et al. , 2010, MNRAS, 409, 619CrossRefGoogle Scholar
Keller, S., et al. , 2007, PASA, 24, 1CrossRefGoogle Scholar
Koribalski, B. S., et al. , 2004, AJ, 128, 16CrossRefGoogle Scholar
Koribalski, B. S., et al. , 2009, ASKAP Survey Science Project: WALLABY proposalGoogle Scholar
Koribalski, B. S., et al. , 2012, in preparationGoogle Scholar
Lang, R. H., et al. , 2003, MNRAS, 342, 738CrossRefGoogle Scholar
Marsh, K. A. & Jarrett, T. H., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
McConnachie, , et al. , 2009, MNRAS, 395, 255CrossRefGoogle Scholar
Meyer, M., et al. , 2004, MNRAS, 350, 1195CrossRefGoogle Scholar
Molinari, S., Schisano, E., Faustini, F., Pestalozzi, M., di Giorgio, A. M. & Liu, S., 2011, A&A, 530, 133Google Scholar
Morganti, R., Oosterloo, T. & Tsvetanov, Z., 1998, AJ, 115, 915CrossRefGoogle Scholar
Morganti, R., Oosterloo, T. A., Tadhunter, C. N., van Moorsel, G. & Emonts, B., 2005, A&A, 439, 521Google Scholar
Morganti, R., et al. , 2011, A&A, 535, 97Google Scholar
Norris, R. P., et al. , 2011, PASA, 28, 215CrossRefGoogle Scholar
Obreschkow, D., Heywood, I. & Rawlings, S., 2011, ApJ, 743, 84CrossRefGoogle Scholar
Oosterloo, T. A., Morganti, R., Tzioumis, A., Reynolds, J., King, E., McCulloch, P. & Tsvetanov, Z., 2000, AJ, 119, 2085CrossRefGoogle Scholar
Oosterloo, T. A., Morganti, R., Sadler, E., van der Hulst, T. & Serra, P., 2007, A&A, 465, 787Google Scholar
Pen, U.-L., Staveley-Smith, L., Peterson, J. B. & Chang, T., 2009, MNRAS, 394, L6CrossRefGoogle Scholar
Petric, A. O. & Rupen, M. P., 2007, AJ, 134, 1952CrossRefGoogle Scholar
Pihlström, Y. M., 2001, PhD Thesis, Chalmers University of Technology, SwedenGoogle Scholar
Pihlström, Y. M., Conway, J. E., Booth, R. S., Diamond, P. J. & Koribalski, B. S., 2000, A&A, 357, 7Google Scholar
Popping, A., Jurek, R., Westmeier, T., Serra, P., Flöer, L., Meyer, M. & Koribalski, B., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Putman, M. E., et al. , 2002, AJ, 123, 873CrossRefGoogle Scholar
Ryan-Weber, E., et al. , 2002, AJ, 124, 1954CrossRefGoogle Scholar
Ryan-Weber, E., et al. , 2004, AJ, 127, 1431CrossRefGoogle Scholar
Ryder, S. D., et al. , 2001, ApJ, 555, 232CrossRefGoogle Scholar
Sault, R. J., Teuben, P. J. & Wright, M. C. H., 1995, ASPC, 77, 433Google Scholar
Schneider, S. E., Thuan, T. X., Magri, C. & Wadiak, J. E., 1990, ApJS, 72, 245CrossRefGoogle Scholar
Schweizer, F., van Gorkom, J. & Seitzer, P., 1989, ApJ, 338, 770CrossRefGoogle Scholar
Serra, P., Jurek, R. & Flöer, L., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Serra, P., et al. , 2012, MNRAS, 422, 1835CrossRefGoogle Scholar
Springob, C. M., Haynes, M. P., Giovanelli, R. & Kent, B. R., 2005, ApJS, 160, 149CrossRefGoogle Scholar
Staveley-Smith, L., et al. , 1998, AJ, 116, 2717CrossRefGoogle Scholar
Stubbs, C. W., et al. , 2010, ApJS, 191, 376CrossRefGoogle Scholar
Tamburro, D., Rix, H.-W., Leroy, A. K., MacLow, M. M., Walter, F., Kennicutt, R. C., Brinks, E. & de Blok, W. J. G., 2009, AJ, 137, 4424CrossRefGoogle Scholar
Taylor, G. B., et al. , 2002, ApJ, 574, 88CrossRefGoogle Scholar
Taylor, G. B., Peck, A. B., Ulvestad, J. S. & O'Dea, C. P., 2004, ApJ, 612, 780CrossRefGoogle Scholar
van Gorkom, J. H., et al. , 1989, AJ, 97, 708CrossRefGoogle Scholar
Verheijen, M., Oosterloo, T. A., van Cappellen, W. A., Bakker, L., Ivashina, M. V. & van der Hulst, J. M., 2008, AIPC, 1035, 265Google Scholar
Walsh, A., Purcell, C., Longmore, S., Jordan, C. H. & Lowe, V., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Warmels, R. H., 1988a, A&AS, 72, 19Google Scholar
Warmels, R. H., 1988b, A&AS, 72, 57Google Scholar
Waugh, M., et al. , 2002, MNRAS, 337, 641CrossRefGoogle Scholar
Westmeier, T., Popping, A. & Serra, P., 2012, PASA, Special Issue on Source Finding and VisualisationGoogle Scholar
Whiting, M., 2008, in Galaxies in the Local Volume, Ap&SS Proc., ed. Koribalski, B. & Jerjen, H. (Springer), 343CrossRefGoogle Scholar
Whiting, M., 2012, MNRAS, 421, 3242CrossRefGoogle Scholar
Whiting, M. & Humphreys, B., 2012, PASA, submittedGoogle Scholar
Winkel, B., Kalberla, P. M. W., Kerp, J. & Flöer, L., 2010, ApJS, 188, 488CrossRefGoogle Scholar
Wolfinger, K., Kilborn, V. & Koribalski, B. S., 2012, MNRAS, submittedGoogle Scholar
Wong, I., et al. , 2006, MNRAS, 371, 1855CrossRefGoogle Scholar
Woodring, J., Heitmann, K., Ahrens, J., Fasel, P., Hsu, C.-H., Habib, S. & Pope, A., 2011, ApJS, 195, 11CrossRefGoogle Scholar
York, D. G., et al. , 2000, AJ, 120, 1579CrossRefGoogle Scholar
Zwaan, M. A., et al. , 2003, AJ, 125, 2842CrossRefGoogle Scholar
Zwaan, M. A., et al. , 2004, MNRAS, 350, 1210CrossRefGoogle Scholar