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Astronomical Detectors ASTR 3010 Lecture 7 Chapter 8 SCUBA-2 array

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Astronomical Detectors. ASTR 3010 Lecture 7 Chapter 8. SCUBA-2 array. Photoelectric effect. We want to detect photons!! Change photons into electrons and measure the current!. Astronomical Detectors. detector. Detector Characteristics - PowerPoint PPT Presentation

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Page 1: Astronomical Detectors

Astronomical Detectors

ASTR 3010

Lecture 7

Chapter 8

SCUBA-2 array

Page 2: Astronomical Detectors

Photoelectric effect

• We want to detect photons!!• Change photons into electrons and measure the current!

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Astronomical Detectors

photons signal

Detector Characteristics• detection mode : photon detector, thermal detector, wave detector• efficiency: QE (quantum efficiency)• noise: SNR, DQE (detective quantum efficiency)• spectral response: effective wavelength range• linearity: threshold and saturation• stability: deterioration, hysteresis• response time: minimum exposure time• dynamic range: hardware and software• physical size: up to Giga pixels• sampling: Nyquist sampling

detector

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Astronomical Detectors

photons signal

Detection modes• Photon detectors: IR and shorter wavelengths• Thermal detectors: bolometers, IR, radio + X-ray and gamma ray• Wave detectors: can gauge phase, intensity, polarization (radio)

detector

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Efficiency of Detector• Quantum Efficiency (QE): a common measure of the detector efficiency.

• Perfect detector has QE=1.0

• Detective Quantum Efficiency (DQE): DQE is a much better indication of the quality of a detector than QE. Why?

• For any detector DQE ≤ QE

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Detector Performance• DQE is a function of the input signal.

A certain QE=1 detector produces a background level of 100 electrons per second, and it was used to observe two sources. o Obj1 (bright) : 1sec 10,000 electrons SNRin=100

Since there are two noise sources (Poisson noise and detector noise [proportional to the sqrt(background level)]),

SNRout=10,000 / sqrt(10,100 + 100) = 99. Therefore, DQE=0.98; total noise = Poisson noise + detector noise; Poisson noise = total count from the source and background

o Obj2 (100 times fainter): 100 sec 10,000 electrons SNRin=100SNRout=10,000 / sqrt(20,000 + 100*100)=57.8DQE=0.33

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Linearity• HST WFPC3

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Nyquist sampling• The sampling frequency should be at least twice the highest frequency (of

interest) contained in the signal.

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Examples of aliasing• Moire pattern of bricks

Moire pattern of bricks

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Photo-emissive devices• PMT : Choice of astronomical detector from 1945 until CCD. fast response

time (few milliseconds). 1 channel

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CCD• Charge coupling = Transfer of all electric charges within a semiconductor

storage element to a similar, nearby element by means of voltage manipulations.

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CCD clocking = charge coupling = charge transfer

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CCD readout and clocking

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CCD readout : Correlated Double Sampling• To decrease the readout noise

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CCD saturation and blooming

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CCD Dark Current• dark current as a function of temperature• Device needs to be cooled down o LN2 : -196Co Dry ice: -76Co mechanical cooler: -30 ~ -50Co liquid He: 10-60K

• Then, just use liquid He! no. charge transfer issue

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CCD Charge Transfer Efficiency• Charge transfer is via electron diffusion too low Temp means long time to

diffuse.• Compromised Temp : -100Co need a heater o or dry ice + cryo-cooler

• if CTE=0.99 for a pixel, 256x256 CCD, charges from the most distant pixelneed to be transferred 1 million times!

Total Transfer EfficiencyTTE ≤ (CTE)256=7.6%

If CTE=0.9999,TTE for a most distance pixel.TTE=(0.9999)256+256= 0.95

Example of bad CTE

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CCD charge traps and bad columns• charge traps : any region that will not release electrons during the normal

charge-transfer process.

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CCD gain, ADC, dynamic range• If a full well depth of a CCD is 200,000 electrons• + 16 bit analog-to-digital convertor (ADC).

• 16bit ADC : 0 – 65,535 (1 – 216)

200,000/65,535 = 3.05 electrons/ADU gain

Even if the gain is set to high, because of the limit in ADC, there is a firm limit in the upper limit in count (65535) digital saturation

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Noise sources in CCD• Readout noise (“readnoise”) : present in all images• Thermal noise (“dark current”) : present in non-zero exposures• Poisson noise : cannot avoid

• Variance of noise = readnoise2 + thermal noise + poission noise

• How do we measure each of these noise sources?o Readnoise ?o Thermal noise?o Poisson noise?

Sample image of dark current

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Microchannel Plate• MAMA (multi-anode microchannel array detector)• DQE is very high Xray to UV

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Intensified CCDs• Mostly military purpose (night vision goggle): 1 photon 104-7 phosphor

photons• It will always decrease input SNR

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Infrared Arrays• Different from CCDs• At different wavelengths: o In-Sb : 1 – 5.5 micronso HgCdTe: 1.5 – 12 microns

• Hybrid design: IR sensitive layer + silicon layer for readout non-destructive readout!

• Fundamentally different readout: each pixel has own readout circuit• Differences from CCDso no dead column, no bloomingo non-destructive readout (multiple readouts during an exposure) various

readout schemes (Fowler sampling, up-the-ramp sampling)o high background quick saturation need for co-addo linearity is a concerno dark currento cold dewar

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Different readout schemes…

Fowler sampling(Fowler & Gatley, 1990, ApJ)

Uniform Sampling(“up-the-ramp”)

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In summary…

Important Concepts• Photoelectric effect• Types of detectors• CCD• Infrared Arrays• Dark currents and charge tranfer• Nyquist Sampling

Important Terms• QE• DQE• CTE• Dark currents• Charge traps

Chapter/sections covered in this lecture : 8