weak-values technique for velocity measurements

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Weak-values Technique for Velocity Measurements Weak-values Technique for Velocity Measurements Gerardo Viza, Julian Martinez-Rincon, Gregory A. Howland, Hadas Frostig, Itay Shomroni, Barak Dayan and John Howell Gerardo Viza, Julian Martinez-Rincon, Gregory A. Howland, Hadas Frostig, Itay Shomroni, Barak Dayan and John Howell G. I. Viza et al. Opt Let 38 16 2949 (2013) Generated by Foxit PDF Creator © Foxit Software http://www.foxitsoftware.com For evaluation only.

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Weak-values Technique for Velocity Measurements

Weak-values Technique for Velocity Measurements

Gerardo Viza, Julian Martinez-Rincon,

Gregory A. Howland, Hadas Frostig, Itay Shomroni,

Barak Dayan and John Howell

Gerardo Viza, Julian Martinez-Rincon,

Gregory A. Howland, Hadas Frostig, Itay Shomroni,

Barak Dayan and John Howell

G. I. Viza et al. Opt Let 38 16 2949 (2013)

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Why are velocity measurements important?

Why are velocity measurements important?

Y. Yeh and H. Z. Cummins (1964)

40 um/s

Laser Doppler Anemometry

In-vivo medical imaging

Quality control vibrometry

N. Brunner and C. Simmon PRL 105, 010405 (2010)

Measuring longitudinal phase with frequency-domain analysis

Y. Yeh and H. Z. Cummins (1964)

40 um/s

Laser Doppler Anemometry

In-vivo medical imaging

Quality control vibrometry

N. Brunner and C. Simmon PRL 105, 010405 (2010)

Measuring longitudinal phase with frequency-domain analysis

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Preparation of StatePreparation of State

Use long temporal Gaussian pulses

Michelson Interferometer

Use long temporal Gaussian pulses

Michelson Interferometer

2

2

20 exp

ttItI

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Control the interference by the Piezo-Driven Mirror φ

Control the interference by the Piezo-Driven Mirror φ

Small InteractionSmall Interaction

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ObservationsObservations

Time Domain: no change

Frequency Domain: One pulse is red or blue detuned

Technologically difficult to measure frequency and much easier to measure arrival time.

Time Domain: no change

Frequency Domain: One pulse is red or blue detuned

Technologically difficult to measure frequency and much easier to measure arrival time.

02 ff cv

d

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Observations 2Observations 2

Phase:

Point by point interference

Mirror is imparting a phase within the coherence length of the laser

Pulse:

Pulse length >> Coherence length of the laser >> φ

Phase:

Point by point interference

Mirror is imparting a phase within the coherence length of the laser

Pulse:

Pulse length >> Coherence length of the laser >> φ

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TheoryTheory

22

2

120

2

sin

sin

2

20

2

0

2

2

2

2

expsin

expsin

22exp1

kv

kvtt

tI

I

tkxiitItI

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Weak-valuesWeak-values

Coupled velocity/frequency to time

Pre-selection: temporal Gaussian pulse

Small interaction:

Tiny velocity disturbing the frequency domain

Post-selection: angle close to destructive interference

Result: A shift in arrival time

Coupled velocity/frequency to time

Pre-selection: temporal Gaussian pulse

Small interaction:

Tiny velocity disturbing the frequency domain

Post-selection: angle close to destructive interference

Result: A shift in arrival time

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LimitationsLimitations

Cramer-Rao Bound; the lowest bound of the variance over an unbiased estimator. When achieved, the estimator is efficient. = 1/F

Fisher Information

Cramer-Rao Bound; the lowest bound of the variance over an unbiased estimator. When achieved, the estimator is efficient. = 1/F

Fisher Information

2

2

2 22

1 exp;

ttttP

2;ln; ttPttPdtF tdd

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Fisher Information:

Uncertainty of is bounded by:

Error in estimating velocity is bounded by:

Fisher Information:

Uncertainty of is bounded by:

Error in estimating velocity is bounded by:

2

2

22 ;ln;sin

N

dtd ttPttdtPN

t

Nkk

tCRBv

2

1

2 2

N

t

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Smallest resolvable velocitySmallest resolvable velocity

Our Signal-to-Noise ratio is straight forward for a Gaussian: time shift divided by the uncertainty of the time shift

SNR =

Our Signal-to-Noise ratio is straight forward for a Gaussian: time shift divided by the uncertainty of the time shift

SNR = vvt N

2

2

2 22

1 exp;

ttttP

Starling, et al. PRA 82, 063822 (2010)

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ResultsResults

22kvt

rad

ms

3.0

8337.1

spmv 1160

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Uncertainty ResultsUncertainty Results

Estimator is efficient

There is not better estimator to produce smaller uncertainties.

Estimator is efficient

There is not better estimator to produce smaller uncertainties.

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Sub picometer/secondSub picometer/second

What tricks can we do to achieve sub picometer/second? post-selecting angel smaller

pulses longer

What tricks can we do to achieve sub picometer/second? post-selecting angel smaller

pulses longer

22kvt

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Results 2Results 2

Our estimator changed from Gaussian to only the tip. Only the top 12% peak to peak intensity variation.

Our estimator changed from Gaussian to only the tip. Only the top 12% peak to peak intensity variation.

V_pp [mV] Φ [ rad] v [pm/s]

2.0 0.275 1.4±0.5

1.0 0.276 0.6±0.4

0.5 0.279 0.4±0.4

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Conclusion and RemarksConclusion and Remarks

The new estimator is not efficient but it helped us resolve slower velocities.

Instability of the interferometer limited our integration time. The path length was constant for less than 15mins at a time.

A weak-values technique allowed us to reach a CRB for velocity measurements.

Achieved 400fm/s with a .

In each run we took (10min) the mirror moved the distance of about 2 hydrogen atoms!

The new estimator is not efficient but it helped us resolve slower velocities.

Instability of the interferometer limited our integration time. The path length was constant for less than 15mins at a time.

A weak-values technique allowed us to reach a CRB for velocity measurements.

Achieved 400fm/s with a .

In each run we took (10min) the mirror moved the distance of about 2 hydrogen atoms!

s50

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Thank youThank you

John Howell

Julian Martinez-Rincon

Gregory A. Howland

And contributions from Israel

Hadas Frostig

Itay Shomroni

Barak Dayan

Army Research Office

John Howell

Julian Martinez-Rincon

Gregory A. Howland

And contributions from Israel

Hadas Frostig

Itay Shomroni

Barak Dayan

Army Research Office

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