WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy

Astronomical wide-field imaging of interferometric radio data is computationally expensive, especially for the large data volumes created by modern non-coplanar many-element arrays. We present a new wide-field interferometric imager that uses the w-stacking algorithm and can make use of the w-snapsh...

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Main Authors:	Offringa, A., McKinley, B., Hurley-Walker, Natasha, Briggs, F., Wayth, Randall, Kaplan, D., Bell, M., Feng, L., Neben, A., Hughes, J., Rhee, J., Murphy, T., Bhat, Ramesh, Bernardi, G., Bowman, J., Cappallo, R., Corey, B., Deshpande, A., Emrich, David, Ewall-Wice, A., Gaensler, B., Goeke, R., Greenhill, L., Hazelton, B., Hindson, L., Johnston-Hollitt, M., Jacobs, D., Kasper, J., Kratzenberg, E., Lenc, E., Lonsdale, C., Lynch, M., McWhirter, S., Mitchell, D., Morales, M., Morgan, E., Kudryavtseva, N., Oberoi, D., Ord, S., Pindor, B., Procopio, P., Prabu, T., Riding, J., Roshi, A., Shankar, N., Srivani, K., Subrahmanyan, R., Tingay, Steven, Waterson, Mark, Webster, R., Whitney, A., Williams, A., Williams, C.
Format:	Journal Article
Published:	Oxford University Press 2014
Online Access:	http://hdl.handle.net/20.500.11937/30694

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author	Offringa, A. McKinley, B. Hurley-Walker, Natasha Briggs, F. Wayth, Randall Kaplan, D. Bell, M. Feng, L. Neben, A. Hughes, J. Rhee, J. Murphy, T. Bhat, Ramesh Bernardi, G. Bowman, J. Cappallo, R. Corey, B. Deshpande, A. Emrich, David Ewall-Wice, A. Gaensler, B. Goeke, R. Greenhill, L. Hazelton, B. Hindson, L. Johnston-Hollitt, M. Jacobs, D. Kasper, J. Kratzenberg, E. Lenc, E. Lonsdale, C. Lynch, M. McWhirter, S. Mitchell, D. Morales, M. Morgan, E. Kudryavtseva, N. Oberoi, D. Ord, S. Pindor, B. Procopio, P. Prabu, T. Riding, J. Roshi, A. Shankar, N. Srivani, K. Subrahmanyan, R. Tingay, Steven Waterson, Mark Webster, R. Whitney, A. Williams, A. Williams, C.
author_facet	Offringa, A. McKinley, B. Hurley-Walker, Natasha Briggs, F. Wayth, Randall Kaplan, D. Bell, M. Feng, L. Neben, A. Hughes, J. Rhee, J. Murphy, T. Bhat, Ramesh Bernardi, G. Bowman, J. Cappallo, R. Corey, B. Deshpande, A. Emrich, David Ewall-Wice, A. Gaensler, B. Goeke, R. Greenhill, L. Hazelton, B. Hindson, L. Johnston-Hollitt, M. Jacobs, D. Kasper, J. Kratzenberg, E. Lenc, E. Lonsdale, C. Lynch, M. McWhirter, S. Mitchell, D. Morales, M. Morgan, E. Kudryavtseva, N. Oberoi, D. Ord, S. Pindor, B. Procopio, P. Prabu, T. Riding, J. Roshi, A. Shankar, N. Srivani, K. Subrahmanyan, R. Tingay, Steven Waterson, Mark Webster, R. Whitney, A. Williams, A. Williams, C.
author_sort	Offringa, A.
building	Curtin Institutional Repository
collection	Online Access
description	Astronomical wide-field imaging of interferometric radio data is computationally expensive, especially for the large data volumes created by modern non-coplanar many-element arrays. We present a new wide-field interferometric imager that uses the w-stacking algorithm and can make use of the w-snapshot algorithm. The performance dependences of CASA's w-projection and our new imager are analysed and analytical functions are derived that describe the required computing cost for both imagers. On data from the Murchison Widefield Array, we find our new method to be an order of magnitude faster than w-projection, as well as being capable of full-sky imaging at full resolution and with correct polarization correction. We predict the computing costs for several other arrays and estimate that our imager is a factor of 2–12 faster, depending on the array configuration. We estimate the computing cost for imaging the low-frequency Square Kilometre Array observations to be 60 PetaFLOPS with current techniques. We find that combining w-stacking with the w-snapshot algorithm does not significantly improve computing requirements over pure w-stacking. The source code of our new imager is publicly released.
first_indexed	2025-11-14T08:20:07Z
format	Journal Article
id	curtin-20.500.11937-30694
institution	Curtin University Malaysia
institution_category	Local University
last_indexed	2025-11-14T08:20:07Z
publishDate	2014
publisher	Oxford University Press
recordtype	eprints
repository_type	Digital Repository
spelling	curtin-20.500.11937-306942017-09-13T15:07:51Z WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy Offringa, A. McKinley, B. Hurley-Walker, Natasha Briggs, F. Wayth, Randall Kaplan, D. Bell, M. Feng, L. Neben, A. Hughes, J. Rhee, J. Murphy, T. Bhat, Ramesh Bernardi, G. Bowman, J. Cappallo, R. Corey, B. Deshpande, A. Emrich, David Ewall-Wice, A. Gaensler, B. Goeke, R. Greenhill, L. Hazelton, B. Hindson, L. Johnston-Hollitt, M. Jacobs, D. Kasper, J. Kratzenberg, E. Lenc, E. Lonsdale, C. Lynch, M. McWhirter, S. Mitchell, D. Morales, M. Morgan, E. Kudryavtseva, N. Oberoi, D. Ord, S. Pindor, B. Procopio, P. Prabu, T. Riding, J. Roshi, A. Shankar, N. Srivani, K. Subrahmanyan, R. Tingay, Steven Waterson, Mark Webster, R. Whitney, A. Williams, A. Williams, C. Astronomical wide-field imaging of interferometric radio data is computationally expensive, especially for the large data volumes created by modern non-coplanar many-element arrays. We present a new wide-field interferometric imager that uses the w-stacking algorithm and can make use of the w-snapshot algorithm. The performance dependences of CASA's w-projection and our new imager are analysed and analytical functions are derived that describe the required computing cost for both imagers. On data from the Murchison Widefield Array, we find our new method to be an order of magnitude faster than w-projection, as well as being capable of full-sky imaging at full resolution and with correct polarization correction. We predict the computing costs for several other arrays and estimate that our imager is a factor of 2–12 faster, depending on the array configuration. We estimate the computing cost for imaging the low-frequency Square Kilometre Array observations to be 60 PetaFLOPS with current techniques. We find that combining w-stacking with the w-snapshot algorithm does not significantly improve computing requirements over pure w-stacking. The source code of our new imager is publicly released. 2014 Journal Article http://hdl.handle.net/20.500.11937/30694 10.1093/mnras/stu1368 Oxford University Press fulltext
spellingShingle	Offringa, A. McKinley, B. Hurley-Walker, Natasha Briggs, F. Wayth, Randall Kaplan, D. Bell, M. Feng, L. Neben, A. Hughes, J. Rhee, J. Murphy, T. Bhat, Ramesh Bernardi, G. Bowman, J. Cappallo, R. Corey, B. Deshpande, A. Emrich, David Ewall-Wice, A. Gaensler, B. Goeke, R. Greenhill, L. Hazelton, B. Hindson, L. Johnston-Hollitt, M. Jacobs, D. Kasper, J. Kratzenberg, E. Lenc, E. Lonsdale, C. Lynch, M. McWhirter, S. Mitchell, D. Morales, M. Morgan, E. Kudryavtseva, N. Oberoi, D. Ord, S. Pindor, B. Procopio, P. Prabu, T. Riding, J. Roshi, A. Shankar, N. Srivani, K. Subrahmanyan, R. Tingay, Steven Waterson, Mark Webster, R. Whitney, A. Williams, A. Williams, C. WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy
title	WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy
title_full	WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy
title_fullStr	WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy
title_full_unstemmed	WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy
title_short	WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy
title_sort	wsclean: an implementation of a fast, generic wide-field imager for radio astronomy
url	http://hdl.handle.net/20.500.11937/30694

WSCLEAN: an implementation of a fast, generic wide-field imager for radio astronomy

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