Real-Time Calibration of the Murchison Widefield Array

The interferometric technique known as peeling addresses many of the challenges faced when observing with low-frequency radio arrays, and is a promising tool for the associated calibration systems. We investigate a real-time peeling implementation for next-generation radio interferometers such as the Murchison widefield array (MWA). The MWA is being built in Australia and will observe the radio sky between 80 and 300 MHz. The data rate produced by the correlator is just over 19 GB/s (a few peta-bytes/day). It is impractical to store data generated at this rate, and software is currently being developed to calibrate and form images in real time. The software will run on-site on a high-throughput real-time computing cluster at several tera-flops, and a complete cycle of calibration and imaging will be completed every 8 s. Various properties of the implementation are investigated using simulated data. The algorithm is seen to work in the presence of strong galactic emission and with various ionospheric conditions. It is also shown to scale well as the number of antennas increases, which is essential for many upcoming instruments. Lessons from MWA pipeline development and processing of simulated data may be applied to future low-frequency fixed dipole arrays.

[1]  Rachel L. Webster,et al.  Field Deployment of Prototype Antenna Tiles for the Mileura Widefield Array Low Frequency Demonstrator , 2006, astro-ph/0611751.

[2]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[3]  J. Hamaker Understanding radio polarimetry. IV. The full-coherency analogue of scalar self-calibration: Self-al , 2000 .

[4]  R. Sault,et al.  Understanding radio polarimetry. II. Instrumental calibration of an interferometer array , 1996 .

[5]  Dieter Bilitza,et al.  Goals and status of the International Reference Ionosphere , 1978 .

[6]  D. H. Rogstad,et al.  The SUMPLE Algorithm for Aligning Arrays of Receiving Radio Antennas: Coherence Achieved with Less Hardware and Lower Combining Loss , 2005 .

[7]  Max Tegmark,et al.  A model of diffuse Galactic radio emission from 10 MHz to 100 GHz , 2008, 0802.1525.

[8]  B. Burn On the Depolarization of Discrete Radio Sources by Faraday Dispersion , 1965 .

[9]  Alan E. Wright,et al.  Parkes Catalog, 1990, Australia telescope national facility. , 1990 .

[10]  M. H. Wieringa,et al.  Small scale polarization structure in the diffuse galactic emission at 325 MHz , 1993 .

[11]  W. C. Erickson Long Wavelength Interferometry , 1999 .

[12]  Colin J. Lonsdale,et al.  Space weather capabilities of low frequency radio arrays , 2005, SPIE Optics + Photonics.

[13]  Rajaram Nityananda,et al.  Solving for closure errors due to polarization leakage in radio interferometry of unpolarized sources , 2001 .

[14]  Steven Furlanetto,et al.  Cosmology at low frequencies: The 21 cm transition and the high-redshift Universe , 2006 .

[15]  Colin J. Lonsdale,et al.  Efficient Imaging Strategies For Next-Generation Radio Arrays , 2004 .

[16]  J. Curran,et al.  SUMSS: a wide-field radio imaging survey of the southern sky – II. The source catalogue , 2003, astro-ph/0303188.

[17]  K. Golap,et al.  W Projection: A New Algorithm for Wide Field Imaging with Radio Synthesis Arrays , 2005 .

[18]  E. Wolf,et al.  Principles of Optics (7th Ed) , 1999 .

[19]  J. Högbom,et al.  APERTURE SYNTHESIS WITH A NON-REGULAR DISTRIBUTION OF INTERFEROMETER BASELINES. Commentary , 1974 .

[20]  Michael I. Large,et al.  A machine-readable release of the Molonglo Reference Catalogue of Radio Sources , 1991 .

[21]  J. Condon,et al.  Confusion and flux-density error distributions , 1974 .

[22]  K. Institute,et al.  Faraday rotation measure synthesis , 2005, astro-ph/0507349.

[23]  G. Swenson,et al.  Interferometry and Synthesis in Radio Astronomy , 2017, 1708.09761.

[24]  Judd D. Bowman,et al.  IMPROVING FOREGROUND SUBTRACTION IN STATISTICAL OBSERVATIONS OF 21 cm EMISSION FROM THE EPOCH OF REIONIZATION , 2006 .

[25]  Judd D. Bowman,et al.  The Sensitivity of First-Generation Epoch of Reionization Observatories and Their Potential for Differentiating Theoretical Power Spectra , 2005, astro-ph/0507357.

[26]  Robert A. Shaw,et al.  Astronomical data analysis software and systems IV : meeting held at Baltimore, Maryland, 25-28 September 1994 , 1995 .

[27]  Rachel L. Webster,et al.  Detection of Crab Giant Pulses Using the Mileura Widefield Array Low Frequency Demonstrator Field Prototype System , 2007, 0705.0404.

[28]  J. Usón,et al.  Correcting direction-dependent gains in the deconvolution of radio interferometric images , 2008, 0805.0834.

[29]  Jan E. Noordam,et al.  LOFAR calibration challenges , 2004, SPIE Astronomical Telescopes + Instrumentation.

[30]  W. C. Erickson Ionospheric refraction in radio source observations at long radio wavelengths , 1984 .

[31]  Albert-Jan Boonstra,et al.  Gain calibration methods for radio telescope arrays , 2003, IEEE Trans. Signal Process..

[32]  Alle-Jan van der Veen,et al.  Self-Calibration for the LOFAR Radio Astronomical Array , 2007, IEEE Transactions on Signal Processing.