Parameterized CLEAN Deconvolution in Radio Synthesis Imaging

[1]  David A. Green,et al.  EXPANDED VERY LARGE ARRAY OBSERVATIONS OF GALACTIC SUPERNOVA REMNANTS: WIDE-FIELD CONTINUUM AND SPECTRAL-INDEX IMAGING , 2011 .

[2]  S. Bhatnagar,et al.  Scale sensitive deconvolution of interferometric images - I. Adaptive Scale Pixel (Asp) decomposition , 2004 .

[3]  R. Narayan,et al.  Maximum Entropy Image Restoration in Astronomy , 1986 .

[4]  L. Zhang,et al.  The adaptive-loop-gain adaptive-scale CLEAN deconvolution of radio interferometric images , 2016, 1604.01563.

[5]  T. J. Dijkema,et al.  LOFAR FACET CALIBRATION , 2016, 1601.05422.

[6]  Yves Wiaux,et al.  PURIFY: a new approach to radio-interferometric imaging , 2013, 1307.4370.

[7]  E. Nembach,et al.  Thermally activated Bloch wall motion , 1978 .

[8]  S. Ikeda,et al.  Superresolution Interferometric Imaging with Sparse Modeling Using Total Squared Variation: Application to Imaging the Black Hole Shadow , 2018, 1802.05783.

[9]  William T. Freeman,et al.  Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements , 2018, IEEE Transactions on Computational Imaging.

[10]  K. Golap,et al.  Wide-field wide-band Interferometric Imaging: The WB A-Projection and Hybrid Algorithms , 2013 .

[11]  Kazunori Akiyama,et al.  Superresolution Full-polarimetric Imaging for Radio Interferometry with Sparse Modeling , 2017, 1702.00424.

[12]  J. D. McEwen,et al.  Compressed sensing for wide-field radio interferometric imaging , 2010, 1010.3658.

[13]  T. J. Cornwell.  Hogbom's CLEAN algorithm. Impact on astronomy and beyond. Commentary on: Högbom J. A., 1974, A&AS, 15, 417 , 2009 .

[14]  Kazunori Akiyama,et al.  PRECL: A new method for interferometry imaging from closure phase , 2016, 1603.07078.

[15]  Alexandru Onose,et al.  Robust sparse image reconstruction of radio interferometric observations with PURIFY , 2016, 1610.02400.

[16]  Kazunori Akiyama,et al.  Interferometric Imaging Directly with Closure Phases and Closure Amplitudes , 2018, 1803.07088.

[17]  P. Vandergheynst,et al.  Compressed sensing imaging techniques for radio interferometry , 2008, 0812.4933.

[18]  Yannick Boursier,et al.  Spread spectrum for imaging techniques in radio interferometry , 2009, ArXiv.

[19]  K. Bouman,et al.  HIGH-RESOLUTION LINEAR POLARIMETRIC IMAGING FOR THE EVENT HORIZON TELESCOPE , 2016, 1605.06156.

[20]  L. Bester,et al.  Faceting for direction-dependent spectral deconvolution , 2017, 1712.02078.

[21]  David Mary,et al.  MORESANE: MOdel REconstruction by Synthesis-ANalysis Estimators - A sparse deconvolution algorithm for radio interferometric imaging , 2014, 1412.5387.

[22]  Robert C. Kennicutt,et al.  MULTI-SCALE CLEAN: A COMPARISON OF ITS PERFORMANCE AGAINST CLASSICAL CLEAN ON GALAXIES USING THINGS , 2008, 0810.2825.

[23]  R. Giovanelli,et al.  THE ARECIBO LEGACY FAST ALFA SURVEY. VII. A NEUTRAL HYDROGEN CLOUD COMPLEX IN THE VIRGO CLUSTER , 2008, 0810.3571.

[24]  Xiao‐Hong Li,et al.  Molecular structure and vibrational spectra of three substituted 4-thioflavones by density functional theory and ab initio Hartree-Fock calculations. , 2011, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[25]  Kazunori Akiyama,et al.  Super-resolution imaging with radio interferometry using sparse modeling , 2014, 1407.2422.

[26]  U. Rau,et al.  Efficient implementation of the adaptive scale pixel decomposition algorithm , 2016 .

[27]  J. Nelson.  Extended canonical vierbein formalism , 1988 .

[28]  Else Rw,et al.  Letter: Mammary neoplasia unit. , 1974 .

[29]  Tim J. Cornwell,et al.  Multiscale CLEAN Deconvolution of Radio Synthesis Images , 2008, IEEE Journal of Selected Topics in Signal Processing.

[30]  E. Greisen,et al.  APERTURE SYNTHESIS OBSERVATIONS OF THE NEARBY SPIRAL NGC 6503: MODELING THE THIN AND THICK H i DISKS , 2009, 0902.0989.

[31]  F. Schwab,et al.  Relaxing the isoplanatism assumption in self-calibration; applications to low-frequency radio interferometry , 1984 .

[32]  J. D. McEwen,et al.  Sparsity Averaging Reweighted Analysis (SARA): a novel algorithm for radio‐interferometric imaging , 2012, 1205.3123.

[33]  Fused CLEAN deconvolution for compact and diffuse emission , 2018, Astronomy & Astrophysics.

[34]  Julien N. Girard,et al.  Sparse representations and convex optimization as tools for LOFAR radio interferometric imaging , 2015, 1504.03896.

[35]  Chih-Wei L. Huang,et al.  First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole , 2019 .

[36]  J. Anderson,et al.  LOFAR sparse image reconstruction , 2014, 1406.7242.

[37]  Mohamed-Jalal Fadili,et al.  The Undecimated Wavelet Decomposition and its Reconstruction , 2007, IEEE Transactions on Image Processing.

[38]  M. L. Crump.  Opportunistic Cannibalism by Amphibian Larvae in Temporary Aquatic Environments , 1983, The American Naturalist.

[39]  T. Cornwell,et al.  A multi-scale multi-frequency deconvolution algorithm for synthesis imaging in radio interferometry , 2011, 1106.2745.

[40]  O. Smirnov,et al.  An optimized algorithm for multiscale wideband deconvolution of radio astronomical images , 2017, 1706.06786.

[41]  D. Marquardt.  An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[42]  T. Murphy,et al.  wsclean: an implementation of a fast, generic wide-field imager for radio astronomy , 2014, 1407.1943.

[43]  Tracy E. Clarke,et al.  Deep 1.4 GHz Very Large Array Observations of the Radio Halo and Relic in Abell 2256 , 2006, astro-ph/0603166.

[44]  K. Bouman,et al.  Imaging the Schwarzschild-radius-scale Structure of M87 with the Event Horizon Telescope Using Sparse Modeling , 2017, 1702.07361.