Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 1 Atmospheric phase correction Jan Martin Winters IRAM, Grenoble.

Slides:



Advertisements
Similar presentations
Gravitational Wave Astronomy Dr. Giles Hammond Institute for Gravitational Research SUPA, University of Glasgow Universität Jena, August 2010.
Advertisements

Basics of mm interferometry Turku Summer School – June 2009 Sébastien Muller Nordic ARC Onsala Space Observatory, Sweden.
Adaptive Optics in the VLT and ELT era Atmospheric Turbulence
Overview of Astronomical Seeing Refraction in the atmosphere produces: Image motion Turbulence-induced astronomical “seeing” Image motion is the large-scale,
3mm amplitude test by Cheng-Jiun Ma. Observation Source : Orion SiO Frequency: GHz 256 channels within 64MHz bandwidth Ant 3 & Ant 4 no Tsys correction.
Interferometric Spectral Line Imaging Martin Zwaan (Chapters of synthesis imaging book)
SIW 2003 The antenna element Ravi ATNF, Narrabri 1.The role of the antenna in a Fourier synthesis radio telescope 2.The Compact array antenna.
Characterizing Millimeter Wavelength Atmospheric Fluctuations at the South Pole William L. Holzapfel (UCB) In collaboration with: R. Shane Bussmann (UCB)
Optics in Astronomy - Interferometry - Oskar von der Lühe Kiepenheuer-Institut für Sonnenphysik Freiburg, Germany.
Interference Physics 202 Professor Lee Carkner Lecture 24.
Atmospheric phase correction for ALMA Alison Stirling John Richer Richard Hills University of Cambridge Mark Holdaway NRAO Tucson.
ITER reflectometry diagnostics operation limitations caused by strong back and small angle scattering E.Gusakov 1, S. Heuraux 2, A. Popov 1 1 Ioffe Institute,
Sensible heat flux Latent heat flux Radiation Ground heat flux Surface Energy Budget The exchanges of heat, moisture and momentum between the air and the.
Disussion of dispersion etc. (especially between wavelength bands) and fringe-tracking - Jeff Meisner A note on units: Column densities of air or water.
AOSS 321, Winter 2009 Earth System Dynamics Lecture 11 2/12/2009 Christiane Jablonowski Eric Hetland
DETECTION OF UPPER LEVEL TURBULENCE VIA GPS OCCULTATION METHODS Larry Cornman National Center for Atmospheric Research USA.
Fourth IRAM Millimeter Interferometry School 2004: The atmosphere 1 The atmosphere at mm wavelengths Jan Martin Winters IRAM, Grenoble.
Current mm interferometers Sébastien Muller Nordic ARC Onsala Space Observatory Sweden Turku Summer School – June 2009.
EEE440 Modern Communication Systems Wireless and Mobile Communications.
Calibration with CASA Masaaki Hiramatsu 平松正顕 (ASIAA/NTHU) ALMA User Workshop, Feb 8-10, 2010.
Interferometry Basics
Page 1© Crown copyright Distribution of water vapour in the turbulent atmosphere Atmospheric phase correction for ALMA Alison Stirling John Richer & Richard.
3rd ACS Workshop and advanced course ESO Garching Headquarter, January 15-19, 2006 Atmospheric Transmission at Microwaves (ATM) C++ implementation within.
Random Media in Radio Astronomy Atmospherepath length ~ 6 Km Ionospherepath length ~100 Km Interstellar Plasma path length ~ pc (3 x Km)
What is Millimetre-Wave Astronomy and why is it different? Michael Burton University of New South Wales.
ATCA synthesis workshop - May ATCA – Calibration at mm wavelengths Rick Forster University of California, Berkeley Hat Creek Radio Observatory Berkeley-Illinois-Maryland.
Polarization at IRAM Status and Plans S.Guilloteau Laboratoire d’Astrophysique de Bordeaux.
Météo-France / CNRM – T. Bergot 1) Introduction 2) The methodology of the inter-comparison 3) Phase 1 : cases study Inter-comparison of numerical models.
ASTR 3010 Lecture 18 Textbook N/A
Interferometry Basics Andrea Isella Caltech Caltech CASA Radio Analysis Workshop Pasadena, January 19, 2011.
Gary Chanan Department of Physics and Astronomy University of California, Irvine 4 February 2000.
1wnb Synthesis Imaging Workshop ALMA The Atacama Large Millimeter Array.
Basic Concepts An interferometer measures coherence in the electric field between pairs of points (baselines). Direction to source Because of the geometric.
LES of Turbulent Flows: Lecture 2 (ME EN )
Electromagnetic Waves and Their Propagation Through the Atmosphere
RAdio Detection And Ranging. Was originally for military use 1.Sent out electromagnetic radiation (Active) 2.Bounced off an object and returned to a listening.
Observing Strategies at Millimetre Wavelengths Tony Wong, ATNF Narrabri Synthesis Workshop 13 May 2003.
Physics of turbulence at small scales Turbulence is a property of the flow not the fluid. 1. Can only be described statistically. 2. Dissipates energy.
Water Vapor In The Atmosphere: An Examination For CARMA Phase Correction Y.-S. Shiao, L. W. Looney and L. E. Snyder Department of Astronomy University.
SITE PARAMETERS RELEVANT FOR HIGH RESOLUTION IMAGING Marc Sarazin European Southern Observatory.
C. Chandler, Synthesis Imaging Summer School, 24 June Mm-Wave Interferometry Claire Chandler Why a special lecture on mm interferometry? –everything.
1 Water Vapour Radiometry Bob Sault. 2 The Neutral Atmosphere H20H20 O2O2 H20H20 O2O2.
Matthew Shupe Ola Persson Paul Johnston Duane Hazen Clouds during ASCOS U. of Colorado and NOAA.
Observing Strategies at cm wavelengths Making good decisions Jessica Chapman Synthesis Workshop May 2003.
ALMA Week 2003 Victoria, B. C. Phase Calibration Al Wootten (based on work by many)
George Angeli 26 November, 2001 What Do We Need to Know about Wind for GSMT?
1 Problems and Challenges in the mm/submm. 2 Effect of atmosphere on data: Tsys Mean Refraction Phase fluctuations Correction techniques Other facility.
Atacama Large Millimeter/submillimeter Array Expanded Very Large Array Robert C. Byrd Green Bank Telescope Very Long Baseline Array Observing Scripts Basic.
Adaptive Optics in the VLT and ELT era Atmospheric Turbulence
1wnb Synthesis Imaging Workshop ALMA The Atacama Large Millimeter Array.
Jan URSI1 Fast Switching Phase Compensation for ALMA Mark Holdaway NRAO/Tucson Other Fast Switching Contributors: Frazer Owen Michael Rupen Chris.
Atmospheric phase correction at the Plateau de Bure interferometer IRAM interferometry school 2006 Aris Karastergiou.
Part 2: Phase structure function, spatial coherence and r 0.
Air Pollution Meteorology Ñ Atmospheric thermodynamics Ñ Atmospheric stability Ñ Boundary layer development Ñ Effect of meteorology on plume dispersion.
24 September 2001ATNF Imaging Workshop1 The Sydney University Stellar Interferometer (SUSI) John Davis School of Physics University of Sydney 24 September.
Brent WilloughbyEVLA Front-End CDR – WVR Option 24 April EVLA Front-End CDR Water Vapor Radiometer Option.
On the structure of the neutral atomic medium Patrick Hennebelle Ecole Normale supérieure-Observatoire de Paris and Edouard Audit Commissariat à l’énergie.
Matthew Lagor Remote Sensing Stability Indices and Derived Product Imagery from the GOES Sounder
Innovations Foresight Astronomical Seeing The Astro-Imaging Channel Dr. Gaston Baudat Innovations Foresight, LLC 1(c) Innovations Foresight Dr.
Page 1 Adaptive Optics in the VLT and ELT era Atmospheric Turbulence François Wildi Observatoire de Genève Credit for most slides : Claire Max (UC Santa.
Introduction to the Turbulence Models
Fringe-Fitting: Correcting for delays and rates
Observing Strategies for the Compact Array
Telescopes and Images.
Celestial and atmospheric H2O detection by direct RF sampling
Fourier Analyses Time series Sampling interval Total period
Polarization Calibration
Water Vapor Radiometer
Observational Astronomy
Atmospheric phase correction for ALMA
Presentation transcript:

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 1 Atmospheric phase correction Jan Martin Winters IRAM, Grenoble

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 2 The problem Atmosphere introduces (complex) refractive index => path delay + absorption/emission Water vapor poorly mixes with dry air => „eddies“ Atmosphere is turbulent => fluctuating path delay Time varying deformation of wavefront => Phase fluctuation => Degradation of source amplitude Degradation of spatial resolution

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 3 Effect of phase noise An interferometer measures amplitude and phase of the incoming wave (complex visibility). Integration of the signal can be concieved as the summation of vectors, characterized by their length (amplitude) and orientation (phase) V1V1 → V3V3 → V2V2 → V=  V i →→ Without phase noise With phase noise V1V1 → V3V3 → V2V2 → V=  V i →→  Degradation of amplitude + smearing out of structure information |V|=  V i | →→ |V|<  V i | →→

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 4 The idea Determine the amount of water vapor in front of each telescope by measuring its emission Deduce the path delay caused by this water column Apply a corresponding phase correction

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 5 The method Atmospheric emission T sky = T Atm (1  e  ) With  d  w  d  pwv Excess path L = L d + L V = L d pwv [cm] Phase delay  L  =  L/  T sky )  T sky => Measure T sky (fluctuating) in front of each telescope Use atmospheric model to derive ( , T Atm,) pwv,  L/  T sky Compute phase correction  and apply it to data

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 6 In practice (I): Total power radiometry, e.g., in the 1mm band (a factor ~6 more sensitive to pwv than 3mm band) using the astronomical receivers This was the standard method used at the PdBI until August 2004 Problems: Clouds: large , low n => large variations in T sky, but only small effect on the path excess  L Measurement at only one frequency(band): effect of clouds cannot be removed Long-term stability of the astronomical receivers (which are designed for sensitivity) (important for absolute phase correction)

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 7 In practice (II): B) Multi channel radiometry in a water line (here: at 22GHz) using dedicated instruments (Rem.: ALMA will use the 183GHz line) This is the standard method used at the PdBI since August 2004 Advantages: Effect of clouds can be removed : T sky,H 2 O = T vapor  T cloud = T Atm (1  e  v ) + T Cloud (1  e  c ),  C ~ 2 linearize cloud exponential term, measure at two frequencies, build weighted mean:  T double = T sky,1 – T sky,2 (    ) 2 = T vapor,1 – T vapor,2 (    ) 2 Instruments designed for stability => absolute phase correction

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 8 22GHz monitor Sampling rate: 1s

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 9 unstable atmospheric conditions 4.4mm pwv 110 GHz A-configuration: E23-W27-N29-E16-W23-N13 8 min on NRAO150 Results 22GHz correction (I) Temporal phase variation

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 10

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 11 Results 22GHz correction (II) Turbulent conditions, 4.4mm pwv, A-configuration Calibrator NRAO150, strong continuum point source => Factor 2.5 gain in amplitude without phase correction with phase correction

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 12 Kolmogorov turbulence Turbulence is fed by energy input on large scales L (= outer scale of the turbulent field) This energy is cascaded down to smaller scales (in a stationary process) until it is dissipated into heat on the smallest scales 0 (inner scale) by viscosity The velocity fluctuation associated with linear scale is v, the typical time scale of the fluctuation is  =  / v Per unit mass, the rate at which energy is fed into eddies of size is then  ~ v 2 /  = v 3 /  = v L 3 / L  or v   

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 13 Phase structure function Characterization of fluctuations by the structure function D v (d) = ≈ v d 2 ~  d   (velocity) Phase fluctuations are induced by fluctuations of the refractive index due to water vapor eddies in the turbulent atmosphere D n (d) ~  d   (refractive index) On large scales (d ≫ height of turbulent layer, “thin screen”, 2D) D  (d) ~  d   (phase, 2D) On smaller scales: 3D description, “thick screen” D  (d) ~  d   (phase, 3D) For the rms phase noise   = ( D  (d)) 1/2 power law spectra are expected with exponents between 1/3 and 5/6 (On scales d > L: uncorrelated, D  (d) ≈ const)

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 14 Results 22GHz correction (III) Turbulent conditions, 4.4mm pwv, A-configuration    exp(-   2 /2) Decorrelation factors

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 15 Results 22GHz correction 3mm

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 16 Results: Statistics (II) pwv < 5mm pwv > 5mm

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 17 Results 22GHz correction (I) Turbulent conditions, 4.4mm pwv, A-configuration

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 18 Results 22GHz correction (II) Stable conditions, 3.7mm pwv, A-configuration

Fourth IRAM Millimeter Interferometry School 2004: Atmospheric phase correction 19 Results 22GHz correction (IV) Stable conditions, 3.7mm pwv, A-configuration