Intensity Interferometry workshop – Salt Lake City, January 2009

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Intensity Interferometry workshop – Salt Lake City, January 2009 Dainis Dravins Lund Observatory, Sweden www.astro.lu.se/~dainis DIGITAL CORRELATORS FOR INTENSITY INTERFEROMETRY AND HIGH-SPEED ASTROPHYSICS

description

Intensity Interferometry workshop – Salt Lake City, January 2009. DIGITAL CORRELATORS FOR INTENSITY INTERFEROMETRY AND HIGH-SPEED ASTROPHYSICS. Dainis Dravins Lund Observatory , Sweden www.astro.lu.se/~dainis. Photon Correlators ! But first a little history…. - PowerPoint PPT Presentation

Transcript of Intensity Interferometry workshop – Salt Lake City, January 2009

Page 1: Intensity Interferometry workshop – Salt Lake City, January 2009

Intensity Interferometry workshop – Salt Lake City, January 2009

Dainis DravinsLund Observatory, Sweden

www.astro.lu.se/~dainis

DIGITAL CORRELATORS FORINTENSITY INTERFEROMETRY

AND HIGH-SPEED ASTROPHYSICS

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Photon Correlators !But first a little history…

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Laurie M. Brown, Abraham Pais, A. B. PippardTwentieth Century PhysicsCRC Press, 1995

EARLY PHOTON-CORRELATION SPECTROSCOPYThe birth of digital photon correlation spectroscopy dates back to a conference paper by Foord et al. (Malvern, U.K.), at about the same time as Benedek described experiments in ’light-beating’ spectroscopy by analogue means.

Photon counting statistics of the new light sources had been widely explored from 1963, but the Malvern group recognized that much was to be gained from direct electronic computation of Glauber’s G(2), the second-order temporal correlations in photon counts, in place of simple photon counting.---The first photon correlator to perform such computations was used in 1970 to measure the size of the molecule haemocyanin. The autocorrelation function from a monodisperse suspension is a single exponential whose decay rate is proportional to the hydrodynamic size of the molecule. ---The photon correlator provided a seven-decade leap in optical resolution, down to a few Hertz … Commercial construction of digital photon correlators and their worldwide use followed quickly, with application to the analysis of macromolecular suspensions (proteins, enzymes, viruses, polymers, etc.), viscosity, thermal diffusion, mutual diffusion, air and fluid velocity flows and turbulence and many other problems with moving atoms, molecules or macroscopic objects. ---Some 15 years later the speed of digital electronics had advanced sufficiently … and recently the whole operation has been performed with software using a single high-speed CPU chip in the expansion slot of a portable computer. Such a single-board correlator was used, for example, in the recent space-shuttle experiments on critical xenon.

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E.R.PikeThe Malvern Correlator: Case study in developmentPhys.Technol. 10, 104 (1979)

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FIRST APPLICATION USING PHOTON CORRELATORS

1980’S STATE-OF-THE-ART:

MALVERN PHOTON CORRELATOR

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5 Application of Modern TCSPC Techniques

5.1 Classic Fluorescence Lifetime Experiments

5.2 Multispectral Fluorescence Lifetime Experiments

5.3 Excitation-Wavelength Multiplexing

5.4 Transient Fluorescence Lifetime Phenomena

5.5 Diffuse Optical Tomography and Photon Migration

5.6 Autofluorescence of Biological Tissue

5.7 TCSPC Laser Scanning Microscopy

5.8 Other TCSPC Microscopy Techniques

5.9 Picosecond Photon Correlation

5.10 Fluorescence Correlation Spectroscopy

5.11 Combinations of Correlation Techniques

5.12 The Photon Counting Histogram

5.13 Time-Resolved Single Molecule Spectroscopy

5.14 Miscellaneous TCSPC Applications

(Springer 2005)

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PRINCIPLE OF A DIGITAL PHOTON CORRELATOR

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Example of correlator features

Flex02-01D from Correlator.com with inputs A & B

Calculates correlation function(s) in real time for delays from 1.6 ns to about 30 minutes Minimum sample time T = 1.6 nsFirst 64 channels: T = 1.6 ns, delay times T to 64*T Second 32 channels: T = 2*1.6 ns, delay times 66*T to 128*T Third 32 channels: T = 4*1.6 ns, delay times 66*T to 128*TFourth 32 channels: T = 8*1.6 ns, delay times 66*T to 128*T, etc.Sample time doubles every 32 channels and data width increases by 1 bit to prevent overflow

Single real-time multiple-tau digital correlator (AxA or AxB)Dual multiple tau digital correlator ({AxA, BxB}, or {AxB, BxA})Quad multiple tau digital correlator {AxA, BxB, AxB, BxA}

One or two-channel photon-history recorder for sample times 0.1s or greater.In photon history mode, it records the time between successive photon events by counting the number of ticks of the system clock between the photon events.The time series is recorded without gaps for average count rates up to many MHz.

List price US $ 10,500

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Custom-made32-channel correlatorCorrelator.com (2008)

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DIGITAL PHOTON CORRELATORS @ Lund Observatory 2008/09:700 MHz clock rate (1.4 ns time resolution)200 MHz maximum photon count rates per channel (pulse-pair resolution 5 ns)8 input channels for photon pulses at TTL voltages

Custom-made by Correlator.com forapplications in intensity interferometry

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Real-time correlationPro: Search all timescales in real time,

store only reduced data

Con: Lose information on transients,no alternative analyses

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QVANTOS: Rapid variability in laboratory sources(Dravins, Hagerbo, Lindegren, Mezey & Nilsson; Lund Observatory)

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Skinakas Observatory, Crete

The OPTIMA instrument (Optical Pulsar TIMing Analyzer) of the Max-Planck-Institute for Extraterrestrial Physics (Garching), mounted at the Cassegrain focus of a 1.3 m

telescope

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Real-time correlation: Identifying telescope vibrations in real timeRicky Nilsson, MSc thesis, Lund Observatory 2005

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Autocorrelation functions of the Crab pulsar, measured by photon-counting avalanche photodiodes

in the OPTIMA instrument, computed by a real-time digital signal correlator of QVANTOS Mark II (Lund Observatory). The rise below 1 µs is due to detector afterpulsing.

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T.H. Hankins, J.S. Kern, J.C. Weatherall, J.A. EilekNanosecond radio bursts from strong plasma turbulence in the Crab pulsarNature 422, 141 (2003)

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Simulated MAGIC observations of the Crab pulsar integrated over 30 secondsTop: Period-folded light curve hints at the pulsar main peak around 5 ms for this 1 s time resolution.Bottom: The autocorrelation extracts all timescales of systematic variabilityAlthough the pulsar is orders of magnitude weaker than the background, already integrations over sometens of seconds reveal a sensible autocorrelation. A usable signal can probably be retrieved down to microsecond timescales with reasonable integration times of a few hours. (Ricky Nilsson, Lund Observatory)

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Rapid astrophysical variability

For resolutions below 1 s, light curvesmay become rather meaningless butstatistical properties can be studied

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Rapid oscillations in neutron starsDetection with RHESSI of High-Frequency X-Ray Oscillations in the Tail of the 2004 Hyperflare from SGR 1806-20: Watts & Strohmayer, ApJ 637, L117

(2006)

Power spectra after mainflare (25–100 keV), atdifferent rotational phases:QPO visible at 92.5 Hz.

Possible identification:Toroidal vibration modeof neutron-star crust?

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p-mode oscillating neutron star1215Y

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Predicted non-radial oscillations in neutron stars

McDermott, Van Horn & Hansen, ApJ 325, 725

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Oscillation signature in simulated neutron-starlight-curve with superposed sky background noise.(Ricky Nilsson, MSc thesis, Lund Observatory, 2005)

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John M. Blondin(North Carolina State

University)

Hydrodynamics on supercomputers: Interacting Binary

Stars

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Kilohertz quasiperiodic oscillations in Sco X-1

(Miller, Strohmayer, Zhang & van der Klis, RXTE)

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Model of Kilohertz QPOsM. C. Miller, F. K. Lamb, D. Psaltis

Numerical computations in general relativity

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ModelingPhoton Bubble

Oscillations in Accretion

Klein, Arons, Jernigan & Hsu ApJ

457, L85

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KUIPER-BELT OCCULTATIONS

Diffraction & shadow of

irregular 1-kmKuiper-belt object in front of a point

star.Horizontal axes in km, vertical axis

isstellar flux.

Grey central spot indicates the geometrical

shadow.

(Roques & Moncuquet, 2000)

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Atmospheric intensity scintillation

Atmospheric scintillation of starlightaffects all types of telescopes

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Sunlight onto a pool of water projects patterns on the bottom.Refraction at the undulating water surface causes effects similar to flying shadows in air.

Shadow bands (“flying shadows”)moving across a house in Sicily during a solar eclipse in 1870.Codona, Sky & Tel 81, 482, 1991

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Pupil [= telescope main mirror, with secondary-mirror obscuration and its four holder vanes visible] image for the star Alpha Gem, recorded on the 1-meter Jakobus Kapteyn Telescope on La Palma [1ms exposure].Brighter and darker patches are “flying shadows” caused by upper-atmospheric turbulence. Intensity scintillation results from incomplete intensity averaging of this pattern as it is both intrinsically evolving, and carried by winds.(Applied Optics group, Imperial College, London)

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Pupil [= telescope main mirror, with secondary-mirror obscuration and its four holder vanes visible] image for the star Alpha Gem, recorded on the 1-meter Jakobus Kapteyn Telescope on La Palma [1ms exposure].Brighter and darker patches are “flying shadows” caused by upper-atmospheric turbulence. Intensity scintillation results from incomplete intensity averaging of this pattern as it is both intrinsically evolving, and carried by winds.(Applied Optics group, Imperial College, London)

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Pupil image movie [part of the telescope main mirror] for a bright star, recorded on the 4.2-meter William Herschel Telescope on La Palma.(Applied Optics group, Imperial College, London)

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Simulated “flying-shadow” pattern on an extremely large telescope. Besides scintillation in intensity,diffraction by this pattern throws parasitic light into the far wings of any focused stellar image. Suppression of this effect is essential to enable direct imaging of faint extrasolar planets.Hubin et al.: “EPICS, Earth-like planets imaging camera spectrograph”, ESO OWL instrument concept study, OWL-CSR-ESO-00000-0166, 2005

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60-cm telescope on La Palma, and the setup used for scintillation measurements

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Typical photon-count distribution. A log-normal intensity distribution (combined with appropriate photon noise) is fitted to the data, with the difference to the fit seen in the bottom panel on a greatly expanded scale.The Poisson distribution corresponding to photon noise only, with zero atmosphericintensity fluctuation, is also shown.

Atmospheric Intensity Scintillation of Stars.

I.StatisticalDistributio

ns and Temporal

Properties

D.Dravins, L.Lindegren, E.Mezey &

A.T.Young, PASP 109, 173 (1997)

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Autocovariance of stellar intensity during a night, through a 60 cm telescope.The star was Polaris, assuring a constant position in the sky.Amplitude at the origin equals the intensity variance sigma2.Each curve represents a 2-min integration.Scintillation changes on timescales of typically tens of minutes.

Atmospheric Intensity Scintillation of Stars.

I.StatisticalDistributio

ns and Temporal

Properties

D.Dravins, L.Lindegren, E.Mezey &

A.T.Young, PASP 109, 173 (1997)

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Aperture dependence of autocovariance, measured at different times during a night.Left: Early evening at moderate zenith anglesRight: Closer to midnight at small zenith angles. Anti-correlation dips indicate a high temporal stability in the flying shadows.

Atmospheric Intensity Scintillation of Stars.

I.StatisticalDistributio

ns and Temporal

Properties

D.Dravins, L.Lindegren, E.Mezey &

A.T.Young, PASP 109, 173 (1997)

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Non-zero scintillation on very short timescalesThe break in the curve near 300 s may be connected to the inner scale of atmospheric turbulence (linear size 3 mm at windspeeds of 10 m/s).

Atmospheric Intensity Scintillation of Stars.

I.StatisticalDistributio

ns and Temporal

Properties

D.Dravins, L.Lindegren, E.Mezey &

A.T.Young, PASP 109, 173 (1997)

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Autocorrelation at 400 and 700 nm, for different telescope apertures.At shorter optical wavelengths, the fluctuations are more rapid.The effect is most pronounced for the smallest apertures.

Atmospheric Intensity Scintillation of Stars.

II.Dependenc

e on Optical

Wavelength

D.Dravins, L.Lindegren, E.Mezey &

A.T.Young, PASP 109, 725 (1997)

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Cross correlations of scintillation between pairs of colorsTime delays at larger zenith angles depend upon the difference in wavelength.With increasing wavelength difference, (a) the degree of correlation between different colors decreases, and (b) the time delay increasesIn the violet, the dispersion of air changes rapidly with wavelength, explaining the significant differences between the nearby wavelengths of 365 and 400 nm. 

Atmospheric Intensity Scintillation of Stars.

II.Dependenc

e on Optical

Wavelength

D.Dravins, L.Lindegren, E.Mezey &

A.T.Young, PASP 109, 725 (1997)

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Cherenkov telescopes have narrow gaps between mirror facets,making them sensitive to small spatial scales of scintillation.The gap orientation makes them sensitive to also the directionof flying shadows, i.e., to the atmospheric windspeed vectors.MAGIC, Roque de los Muchachos, La Palma

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Atmospheric Intensity Scintillation of Stars.

III.Effects for Different Telescope Apertures

D.Dravins, L.Lindegren, E.Mezey &

A.T.Young, PASP 110, 610 & 1118

(1998)

Scintillation through masks with two apertures, at different spacings and angles.If the same pattern crosses both apertures, a secondary peak appears, revealing the flying-shadow speed and direction.For apertures separated by 30 cm, typical delays of 20 ms indicate a flying-shadowspeed of about 15 m/s.

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Photon Statistics Change by Adaptive Optics

V.F.Canales, M.P.Cagigal, Opt.Lett. 26, 737 (2001)

Probability intensitydistribution of lightintensity at the PSFcore of an AO-compensated imagefor three differentD/r0 values.

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Understanding detectorsAfterpulsing, afterglow and other detector

signatures can mimic intensity correlations

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D. Dravins 1, C. Barbieri 2, V. Da Deppo 3, D. Faria 1, S.

Fornasier 2,R. A. E. Fosbury 4, L. Lindegren 1, G. Naletto 3, R. Nilsson 1,

T. Occhipinti 3, F. Tamburini 2, H. Uthas 1, L. Zampieri 5

(1) Lund Observatory, (2) Dept. of Astronomy, Univ. of Padova(3) Dept. of Information Engineering, Univ. of Padova

(4) ST-ECF, ESO Garching, (5) Astronomical Observatory of Padova

ESO Instrument Studies for Extremely Large Telescopes (2005)

HIGHEST TIME RESOLUTION, REACHING QUANTUM OPTICS

• Other instruments cover seconds and milliseconds• QuantEYE will cover milli-, micro-, and nanoseconds, down to the quantum limit !

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“REALISTIC” DATA RATES ?

* 1024 x 1024 imaging elements one wavelength channel at a time

* Each channel photon-counting @ 10 MHz with 1 ns time resolution

* Data @ 1013 photon time-tags per second

= 10 TB/s (Terabyte, 1012 B) ≈ 1 PB/min (Petabyte, 1015 B) ≈ 1 EB/few nights (Exabyte = 1018 B)

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“ULTIMATE” DATA RATES ?

* 1024 x 1024 imaging elements @ 100 spectral & polarization

channels

* Each channel photon-counting @ 10 MHz, 1 ns time resolution

* Data @ 1015 photon time-tags per second

= 1 PB/s (Petabyte, 1015 B) = some EB/h (Exabyte = 1018 B)

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Correlating forintensity interferometry

Real-time correlators already permitverifying various observational modes,

both in the lab, and at telescopes

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Digital Intensity Interferometry Laboratory setup at Lund Observatory (2006)

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The four 12-meter telescopes of the VERITAS array in Arizona offer baselines between 34-109 mS.LeBohec, M.Daniel, W.J.de Wit, J.A.Hinton, E.Jose, J.A.Holder, J.Smith, R.J.WhiteStellar Intensity Interferometry with Air Cherenkov Telescope Arraysin D.Phelan, O.Ryan & A.Shearer, eds., The Universe at sub-second timescales, AIP Conf.Proc. 984, 205 (2008)

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Steps towards a km2 optical telescope

Full-scale test observations with VERITAS, Oct.

2007Dainis Dravins (Lund Observatory)

Stephan LeBohec (University of Utah)Michael Daniel (University of Leeds)

Digitally correlated pairs of 12-meter telescopes

* Photon rates > 30 MHz per telescope* Real-time cross correlation, t = 1.6 ns

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CTA, Cherenkov Telescope Array

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