Stellar Intensity Interferometric Capabilities of IACT Arrays* - - PowerPoint PPT Presentation

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stellar intensity interferometric capabilities of iact
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Stellar Intensity Interferometric Capabilities of IACT Arrays* - - PowerPoint PPT Presentation

Stellar Intensity Interferometric Capabilities of IACT Arrays* Dave Kieda Nolan Matthews University of Utah Salt Lake City, Utah *for VERITAS and CTA collaborations Photon Bunching & Intensity Interferometry D= Correlation Distance 3


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SLIDE 1

Stellar Intensity Interferometric Capabilities

  • f IACT Arrays*

Dave Kieda Nolan Matthews University of Utah Salt Lake City, Utah *for VERITAS and CTA collaborations

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SLIDE 2

Photon Bunching & Intensity Interferometry

D= Correlation Distance

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SLIDE 3

3 SII Imaging β†’ Basic Intensity Interferometry

𝐽"

Measures correlation in intensity fluctuations (not amplitude!).

  • R. Hanbury Brown, J. Davis and L. R. Allen,

MNRAS 137 (1967) 375.

B

R πœ‡

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SLIDE 4

4

𝐽"

Measures correlation in intensity fluctuations (not amplitude!).

Some Pains, But Large Gains:

  • Relatively insensitive to

atmospheric turbulence ( turbulence ~ kHz, sampling ~100’s MHz ).

  • Km Baselines possible,
  • perate at blue wavelengths
  • >sub milli-arcsecond resolution
  • No need to maintain steady optical

interference path between focal planes.

  • > higher order intensity

correlations possible

  • Loss of phase information:

β†’ Phase recovery needed.

4 SII Imaging β†’ Basic Intensity Interferometry

πœ‡

B

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SLIDE 5

5

Signal to Noise Ratio (SNR) in Intensity Interferometry

Hanbury Brown 1974; Twiss 1969

Example Calculation:

  • 109 p.e./sec (mv = 1.0, A=100 m2

= 0.3 )

  • 1013 Hz (for 10nm filter)
  • 250 MHz
  • 1 hour observation
  • dual polarization
  • Assume unresolved = 1.0

SNR = 200 (assuming ideal system, limited to bright sources) Spectral Flux Density (ph s-1 m-2 Hz -1) Photo-electron Rate Optical Bandwidth Electronic Bandwidth Integration Time Normalized Visibility Light collection area q.e. of detectors

How to Improve?

  • Multi-Channel

Intensity Interferometer: 𝑂%&

  • improvement,

(Trippe, 2015)

  • Redundant baselines:

𝑂()*

  • improvement.
  • Fast optics & correlators

(> 1GHz).

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SLIDE 6

2nd-order time coherence g(2) & Fourier Image plane

+,-,./ +,-/+,./ = g(2)(u, v, t ) = 1 + Β½g(1) (u, v, t)Β½2 For II: experimental time resolution βˆ†π‘’ ~ 1 nsec blackbody coherence time 𝑒% ~ 4 βˆ†5 ⁄ ~ 10 psec

g(2)(0,0,0) = 1 + πœ— ~ 1 + 10-4 small non-Gaussian fluctuations => Need large photon counts: 10+ m mirrors

g(2)(0,0,0)

g(1) (u, v, t) : first-order coherence =1 for [u, v, t=0]

g(4) u, v, 0 = E I l, m eI"JK *LMNO dπ‘š 𝑒𝑛

  • I l, m describes the image size

and brightness distribution (Van Cittert-Zernike Theorem 1934,1938) 𝐽 π‘š, 𝑛 𝑛 π‘š

Lab measurement of g(2)(0, 0, t ) of simulated star/thermal light Matthews, Kieda & LeBohec , accepted in J Opt (2017) Reconstructed SII laboratory images stellar disk (left) & binary system (right) Matthews, Kieda & LeBohec , accepted in J Opt (2017)

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SLIDE 7

Potential SII at Optical Telescope Arrays

  • Excellent instruments for SII:
  • Large photon collection area

(~10 m diameter mirrors)

  • Optically isochronous (< 5 ns)

VERITAS IACT Array Future CTA/pSCT Array

1-2 km

100 m to km baselines (milli-arcsec resolution) VLTI- Paranal

100 m

  • J. Holder and S. LeBohec, Ap. J. 649 (2006) 399
  • D. Dravins et al., New Astronomy Reviews 56, 5 (2012) 143
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SLIDE 8

VERITAS Camera 499 PMT pixels Dual polarization SII pixel (replaces 3 Center PMTs)

Potential VERITAS SII Augmentation

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SLIDE 9

WR-SWITCH Module GPS Timecode Generator

10 MHz 1 PPS

Single Mode Fiber 50m - 2 km (80 km max) 10 GB Ethernet

SII Data Quality Monitor plastic fiber plastic fiber 120 ft double shielded RG 223

Telescope 2 Telescope 3 Telescope 4 Telescope 1 Telescope N

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SLIDE 10

WR-SWITCH Module GPS Timecode Generator

10 MHz 1 PPS

Single Mode Fiber 50m - 2 km (80 km max) 10 GB Ethernet

SII Data Quality Monitor plastic fiber plastic fiber 120 ft double shielded RG 223

Telescope 2 Telescope 3 Telescope 4 Telescope 1

Typical SII Augmentation

Standalone telescope connected

  • nly by fiber optic (White Rabbit, 10G)

Telescope N Replace with Custom board in camera?

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SLIDE 11

Simple VERITAS interferometer simulation

*`ghost images’ caused by incomplete sampling of Fourier plane *reflection symmetry of ghost images caused by loss of phase information Fourier image Plane sampling (vertical) Simulated baselines 100 𝜈 𝑏𝑠𝑑𝑑𝑓𝑑

  • S. Lebohec et al. 2009
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SLIDE 12

http://www.cta-observatory.org/ 1-2 km baselines 20-100 telescopes

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SLIDE 13

Simulated observations of binary stars with different sizes. (mV = 3; Teff = 7000 K; T = 10 h; Dt = 1 ns; l = 500 nm; Dl = 1 nm; QE = 70%) Already changes in stellar radii by only a few micro-arcseconds are well resolved. Better sampling of Fourier image plane-> no ghost images D.Dravins, S.LeBohec, H.Jensen, P.D.NuΓ±ez:, CTA Consortium Optical intensity interferometry with the Cherenkov Telescope Array, Astropart. Phys. 43, 331 (2013)

Simulated Fourier image Planes Reconstructed Binary images Input Binary images

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SLIDE 14

Prototype is Currently under construction at VERITAS Observatory (Fall 2017 commission)

f = 5.6m, D= 9.6m,FOV= 8Β° Pixel= 6mm (Γ—11,328SiPMs) PSF

D68= ~0.04 –0.08Β° (pix= 0.06Β°)

CTA-US Schwarzschild-Couder Telescope

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SLIDE 15
  • V. Vassiliev, S. Fegan, P. Brousseau:

Wide field aplanatic two-mirror telescopes for ground-based g-ray astronomy Astropart.Phys. 28, 10 (2007)

Schwarzschild-Couder two-mirror IACT telescope

Wide field of view, excellent spot size RMS spread in arrival time of rays at focal plane as a function of field angle. .

On-axis: photon timespread <0.2 nsec rms >>improved g(2)(t) >>reduced observation time 2-4Ghz sampling + SiPM (QE-0.9). SNR = 200 -> SNR =2400 !

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SLIDE 16

IACT Observatories are Excellent Instruments for SII Imaging

  • Digitizing electronics/White Rabbit synchronization
  • Standalone telescopes connected by inexpensive fiber optics.
  • 1-10 km baseline separations now achievable
  • Offline (post-observation) photon correlations
  • Polarization data allows higher S/N, baseline noise estimation
  • Demonstrated correlation using of pipelined FPGA for near real-time processing
  • Higher order correlations may contain additional image information (Ofir & Ribak 2006)
  • Near Term Implementation
  • VERITAS Telescopes (Potential deployment/use in 2017-2018)
  • 100-200m baselines: 100 𝜈 arcsec imaging possible
  • Longer Term Development
  • VLTI visible light feed /single board implementation?
  • CTA/SCT-telescope array implementation : 1-2 km baselines, <100 𝜈 arcsec imaging?