EXAM Flashcards

1
Q

Poisson equation

A

P(r)=N^r/r! e^-N

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2
Q

N in the poisson equation

A

Describes the expectation value, or the average number of events one can expect to occur in a given timeframe

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3
Q

P(r)

A

is the probability that an event occurs r times

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4
Q

what events does poisson distribution describe

A

Poisson distribution describes discrete and uncorrelated events

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5
Q

standard distribution of poisson

A

The standard deviation of poisson distribution is given by sqrt(N)

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6
Q

what is Poisson mainly used for

A

used to describe rare events

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7
Q

poisson and Gauss

A

for a large number of events the poisson and gauss distribution look very similar

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8
Q

shot noise and Poisson

A

Shot noise is a type of noise which originates from discrete nature of events such as electric charge, particles occurring in radioactive decay or photon counting in optical devices, due to particle nature of light. Shot noise is dominate for rare events hence is well described by the poisson distribution.

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9
Q

How silicon pn junction acts as a photodetector by converting photons into electron-hole pairs

A

Incident light is absorbed by the semiconductor as long as the incoming photon energy is higher than the bandgap energy of the semiconductor. The absorbed photon energy promotes electrons from the valence band to the conduction band. THe in-build-field of the diode separates the electrons from the holes.

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10
Q

NEP (noise equivalent power)

A

NEP describes the noise power spectral density of a photodetector and relates to the noise power
p_noise = NEP x sqrt(B)

With B the bandwidth of the detecro

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11
Q

Detectivity D*

A

Detectivity is the inverse of the NEP normalised to the area of the detector,
D* = sqrt(A_det)/NEP

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12
Q

White noise

A

White noise refers to the fact that noise is independent of frequency. This means that each frequency component contributes equally to the noise power generated. by the detector.

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13
Q

why noise current of a photodetector depends on the sqrt of the bandwidth

A

As noise power scales linearly with bandwidth and since current is proportional to the sqrt of the power, the photocurrent noise scales as the sqrt of the bandwidth

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14
Q

How the cut off frequency of a photodector depends on the reverse voltage

A

A photodetector can be understood as a capacitor. The doped n and p regions represent the two capacitors plates and the depletino region represents the spacer. THe frequency is then given by the RC time constant of the device. As the fromula shows and increase in Vext will increase . As d is increased te capacitance drops according to C=e0erA/d as C decreases the RC time constant becomes shorter so the bandwidth increases.

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15
Q

sampling theroem

A

if a continuous function contains no frequencies higher than fmax it is completely determined by its value at a series of points taken less than 1/2fmax apart

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16
Q

nature of alpha particle and charge state

A

Alpha particles consist of two protons and two neutrons bound together into a particle identical to a helium nucleus. positively charged

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17
Q

nature of beta particles and charge state

A

Beta particles are high-energy speed electrons or positrons. Beta particles are also cahrged eiether positively (positron) or negatively (electrons)

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18
Q

gamma particles

A

Gamma particles are high energy photons so they are not charged.

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19
Q

Neutrons

A

Are one of the fundamental building blocks of the atomic nucleus, together with protons. Neutrons are not charged.

20
Q

Quantum efficiency

A

Describes the efficiency of the detector of converting photons into electron hole pairs.

21
Q

Responsivity

A

The responsivity measures the ability of the detector to convert an optical power into a photocurrent

22
Q

difference between responsivity and quantum efficiency

A

The difference is that the responsivity takes the erngy of the photon into account while the quantum efficiency does not. Therefore the maximum value of the quantum efficiency is unity or 100% (1 photon in =1e-h pair out) while the responsivity can assume any positve value up to infinity

23
Q

Transducer

A

converts energy from one form into another

24
Q

examples of transducers

A

Scales measure weight via the compression of a spring. Spring is a transducer

25
Q

signal

A

combined multiple measurements in time to get a sequence of measurments

26
Q

noise

A

additional unwanted signal

27
Q

SNR

A

signal to noise ratio used to describe the quality of a signal

28
Q

Noise in digital siganl

A

Noise is less of a problem in digital signal. Noise usually disturbs the amplitude. In a digital signal the information is not contained in the amplitude

29
Q

sigma in gauss equation

A

describes the width of the curve

30
Q

mu in gauss equation

A

expectation value

31
Q

Gaussion function

A

describes the likelyhood of a particular argument

32
Q

shot noise

A

type of electronic noise which can be modeled by a poisson process.

33
Q

shot noise caused by

A

enegetic particles not emitting in regular intervals.

34
Q

key property of poisson

A

sigma =sqrt(N)

35
Q

noise and signal strength

A

As a signal get’s stronger the noise gets weaker

36
Q

Signal power proportional to

A

to signal amplitude squared

37
Q

Bandwidth

A

describes the maximum data transfer rate of a network or internet connection.

38
Q

Bandwidth equation

A

B= I / delT

39
Q

colour of shot noise

A

Shot noise is white

40
Q

shot noise can be mitigated how>

A

by increasing the signal strength, as the SNR is proportional to sqrt(signal) or by decreasing the dector bandwidth as shot noise power like any white noisesscales as the bandwidth

41
Q

Thermal noise

A

Arises from the presence of thermal energy in the detecor e.g. brownian motion of the electrons. some electrons thereby assume sufficient energy to mimic a detection event. THe spectral density of thermal noise is flat. i.e. thermal nnoise is white TO mitigate decrease bandwidth or cool down

42
Q

1/f noise

A

also called, flicker or pink noise. occurs in many physical, biological and economic systems. It does not have a single origin. A key characteristic is that there is equal energy in all octaves. Since 1/f noise drops as the bandwidth, it is best mitigated by decreaseing the bandwidth of the detector.

43
Q

Lock in detection

A

improves the SNR by modulating the signal at a particular frequency and using a bandpass filter that coincides with the lock in frequency. The spectral width of the bandpass filter is given by the bandwidth of the signal to. be measured.

44
Q

three ways lock in detection reduces noise

A

1) the bandpass filter reduces Johnson noise, which is proportional to the detected bandwidth.
2) The frequency offset provided by the modulation does reduce the 1/f noise, as it shifts the detection to higher frequencies, where the 1/f noise is lower
3) Background noise sources are not modulated and are therefore eliminated from the measurement. 50/100Hz noise arising from the mains and background light is a particular problem in this respect, and lock in detection, for example allow for the use of daylight in laboratories.

45
Q

frequency filter that uses RC

A

Highpass and lowpass filters are voltage dividers that use the fact that impedance of a capacitor depends on frequency RC=1/omegaC.

For low frequencies Rc>R so most or all of the voltage drops across the capacitor while for high frequncies the impedance of the capacitor is low so the voltage drops across the resistor.