Low-frequency radio astronomy and wide-field imaging

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Low-frequency radio astronomy and wide-field imaging James Miller-Jones (NRAO Charlottesville/Curtin University) ITN 215212: Black Hole Universe Many slides taken from NRAO Synthesis Imaging Workshop (Tracy Clark talk) (http://www.aoc.nrao.edu/events/synthesis/2010/) Atacama Large Millimeter/submillimeter Array Expanded Very Large Array Robert C. Byrd Green Bank Telescope Very Long Baseline Array

Low-frequency radio astronomy Wavelength range 10 MHz 1 GHz HF, VHF, UHF bands Long wavelengths, low frequencies, low photon energies Ionosphere places a cut-off at 10 MHz Frequencies where radio astronomy began Jansky s work at 20.5 MHz Reber s work at 160 MHz 160 MHz sky image from Reber, resolution ~12 degrees 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 2

Fundamental limitations Resolution of an interferometer Field of view Sensitivity S A D eff 2k B N( N T sys 1) t int b max Low-frequency radio astronomy is inherently low-resolution wide field-of-view low fractional bandwidth with respect to similar centimetre-wavelength observations 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 3

Fundamental limitations: Confusion Low resolution coupled with high sensitivity = confusion Unresolved sources place a fundamental limit on the theoretical noise limit ~ 10, rms ~ 30 mjy/beam ~ 1, rms ~ 3 mjy/beam 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 4

Other low-frequency problems Ionosphere affects signal propagation Refraction, source wander, decorrelation RFI swamps astronomical signals Wide field of view Field of view exceeds size of isoplanatic patch Direction-dependent self-calibration Bandwidth smearing requires small channel widths Time smearing requires rapid correlator dumps Imaging must use multiple facets to cover field of view Imaging large fields of view requires enormous computing power 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 5

The ionosphere Partially ionized gas layer 50-300km up Free electron density varies in space, time ~ 50 km <5 km > 5 km Horizontal, wavelike bulk motions (TIDs) Smaller-scale turbulence Correlation preserved Correlation destroyed 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 6

The ionosphere Radio waves experience variable refractive index Extra path length adds extra phase Interferometers sensitive to phase changes Time and directiondependent phase error per antenna Cannot be removed by standard self-cal Phase on three 8-km baselines Midnight wedge Scintillation Quiesence Refractive wedge At dawn TIDs Avoid dawn! 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 7

The ionosphere Ionosphere affects signal propagation ion Wedge: Faraday rotation, absorption, refraction Waves: 2 e 4 m 0 n dl Differential refraction, source distortion, scintillation e ~ 1000 km Credit: Dharam Vir Lal ~ 50 km Waves Wedge 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 8

Compensating for the ionosphere (I) Field-based calibration Rapid images of bright sources to compare to known positions Fit Zernike polynomial phase delay screen for each time interval. Apply time variable phase delay screen to produce corrected image Self-Calibration Field-Based Calibration Time-variable Zernike Polynomial Phase Screens Average positional error decreased from ~45 to 17 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 9

Compensating for the ionosphere (II) Source Peeling and Atmospheric Modelling (SPAM; H. Intema) Iteratively self-calibrate on and subtract bright sources from uv-data Fit global ionospheric model to peeling solutions Calculate model phase solutions for each facet of wide-field image Apply solutions, image and deconvolve as usual 10-50% reduction in background noise Peak fluxes and astrometric accuracy increased Credit: Huib Intema 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 10

Bandwidth smearing Recall field of view given by /D But bandwidth smearing affects point source response At low frequencies: Field of view is large Fractional bandwidth is high Solution Split the bandwidth into many spectral channels Each channel is not affected by bandwidth smearing Fourier transform each spectral channel separately Recall (u,v,w) are components of b measured in Grid each channel separately s v u 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 11

Radio Frequency Interference The other benefit of narrow channels: RFI excision Most man-made RFI is narrow-band MUCH brighter than most astronomical data We need to edit out visibilities affected by interference Sensitivity S A eff 2k B N( N T sys 1) t int Remove few affected channels rather than entire integration RFI can also be natural (lightning, solar effects...) 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 12

Radio Frequency Interference Worst on short baselines Tends to be narrow-band Care about internal generation Automated algorithms Thresholding Median window filters Deviation in complex plane High Stokes V Pattern recognition u=0 (fringe rate is zero on v axis) Short baseline Long baseline 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 13

Non-coplanar arrays Recall the relation between visibility and sky brightness V V I I b.s s exp 2i d u, v, w exp iul vm wn 1l ( l, m) 2 2 2 m dldm Not a Fourier transform relation unless: 1) All baselines lie in a plane (E-W interferometers, snapshots) 2) Emission from a small region of sky (narrow-field imaging) At low frequencies, FOV = /D, i.e. large We can only recover FT relation for snapshots or E-W interferometers 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 14

Non-coplanar arrays: facetting I ( l, m) 2 2 u, v, w exp 2i ul vm w 1l m V 1 2 2 1l m We can t perform an FT unless Facetted approach: Split full FOV into many small facets For each facet, w term < 1 Image/deconvolve each facet separately Separate PSFs for each facet Reconcile different facets in a major cycle Stitch facets together at the end 2w 2 2 1l m 1 1 dldm 74 MHz Wide-field VLA Image 2D tile ~10 degree VLSS Image 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 15

Non-coplanar arrays: w-projection Correlation of electric field at A and B is 2-D FT of sky brightness We sample at B not B Propagating from B to B, the electric field diffracts Use reciprocity theorem and consider transmission If BB is small, use Fresnel diffraction theory Credit: Tim Cornwell 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 16

Non-coplanar arrays: w-projection Project visibility at a point (u,v,w) to the plane (u,v,w=0) w-term disappears, we recover 2D FT relation V I 2i ( ulvm) u, v, w G( l, m, w) e dldm 1l ( l, m) 2 m 2 2iw 1l 2 m 2 1 G( l, m, w) e ~ V( u, v, w) G( u, v, w) V( u, v, w 0) Convolution relation between V(u,v,w) and V(u,v,w=0) No longer probe a single spatial frequency with a single (u,v) sample Credit: Tim Cornwell 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 17

Flux or Flux Density Low frequencies = bright sources! Typical synchrotron spectral indices: a ~ -0.7 Brighter at lower frequencies Deconvolution even beyond the primary beam Many clean iterations Sensitivity to extended structure (short uv-spacings) Multi-scale clean Cygnus A 5 kjy at 330 MHz 17 kjy at 74 MHz Dynamic range issues Frequency 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 18

Low-frequency science: why bother? Key science drivers at low frequencies Dark Ages (spin decoupling) Epoch of Reionization (highly redshifted 21 cm lines) Early Structure Formation (high z RG) Large Scale Structure evolution (diffuse emission) Evolution of Dark Matter & Dark Energy (Clusters) Wide Field (up to all-sky) mapping Large Surveys Transient Searches (including extrasolar planets) Galaxy Evolution (distant starburst galaxies) Interstellar Medium (CR, HII regions, SNR, pulsars) Solar Burst Studies Ionospheric Studies Ultra High Energy Cosmic Ray Airshowers Serendipity (exploration of the unknown) 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 19

Dark Ages Dark Ages EoR Loeb (2006) Spin temperature decouples from CMB at z~200 ( 7 MHz) and remains below until z~30 ( 45 MHz) Neutral hydrogen absorbs CMB and imprints inhomogeneities 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010

Epoch of Reionization Dark Ages EoR Tozzi et al. (2000) Hydrogen 21 cm line during EoR between z~6 ( ~ 200 MHz) and z~11 ( ~ 115 MHz) EoR Intruments: MWA, LOFAR, 21CMA, PAPER, SKA 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010

Structure Formation Dark Ages EoR Structure Formation Clarke & Ensslin (2006) Galaxy clusters form through mergers and are identified by large regions of diffuse synchrotron emission (halos and relics) Important for study of plasma microphysics, dark matter and dark energy 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010

Galactic Supernova Remnant Census Census: expect over 1000 SNR and know of ~230 330 MHz 8 m MSX 2 Color Image: Red: MSXat 8 m Blue: VLA 330 MHz Tripled (previously 17, 36 new) known SNRs in survey region! Brogan et al. (2006) 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010

Transients: Galactic Center Filaments trace magnetic field lines and particle distribution Transients: sensitive, wide fields at low frequencies provide powerful opportunity to search for new transient sources Candidate coherent emission transient discovered near Galactic center GCRT J1745-3009 ~10 minute bursts every 77 minutes timescale implies coherent emission Coherent GC bursting source Lang et al. (1999) Hyman, et al., (2005) - Nature; Hyman et al. (2006, 2007) 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010

Simplicity and complexity Average collecting area of a lossless antenna Very simple receivers possible Dipoles A e 2 4 Complexity is in computing power Electronic software telescopes g b s c 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 25

Low-frequency arrays LOFAR GMRT VLA 21CMA PAPER 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 26

Low frequency summary Challenging but rewarding region of the EM spectrum Technical, algorithmic and computational challenges Advances in computing power have opened up the era of lowfrequency LOFAR, MWA, LWA, PAPER Fundamental science EOR Rapid all-sky surveys Transient science and the unknown Cosmic magnetism Solar physics UHECRs 2 nd School on Multiwavelength Astronomy, Amsterdam, June 2010 27