four wave mixing – a mirror in time yehiam prior weizmann institute of science, rehovot, israel...

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Four Wave Mixing – a Mirror in Time

Yehiam Prior

Weizmann Institute of Science, Rehovot, Israel

Suzdal NLO-50(+) September 2011

And in 1960 the LASER was invented:

Soon to be described as a “solution looking for a problem”

It took a long time….

1960 - 7th grade1970 - student in Jerusalem, deciding to

continue my studies in the US1971 - Berkeley, looking for a Thesis advisor

Options: Shen, Townes, Hahn1977 - post doc position: Nico Bloembergen1979 – Weizmann Institute (ever since)

Where was I ?

How does a laser work ?

Monochromatic, Directional, Intense, Coherent

IncoherentCoherent

So, what can we do with these Coherent sources?

Spontaneous Raman spectrum of CHCl3

Direct spontaneous Raman spectrum (from the catalogue)

221

212

2

2

1

2)3(

)(

)(sin

kl

klIIICARS

Dk

k1 k1

k2 kCARS

Energy conservation Conservation of Momentum(phase matching )

WRaman

w1 w1

w2 wAS

2w1- w2- wAS = 0 Dk = 2k1-k2-kAS= 0

Four Wave Mixing (FWM) and Coherent Anti Stokes Raman Scattering (CARS)

FWM Applications included:

• Molecular spectroscopy• Rotational and vibrational dynamics• Solid state fast relaxation phenomena• Photon echoes• Combustion diagnostics• Surface diagnostics• Biological applications• Microscopy• Remote sensing• …….

• Spectroscopy can be performed either in the frequency domain or in the time domain.

• In the frequency domain, we scan the frequency of excitation (absorption), or the frequency of observation (Spontaneous Raman spectroscopy), etc.

• Alternatively, we can capture the time response to impulse excitation, and then Fourier Transform this signal to obtain a frequency domain spectrum.

• We are always taught that the choice of one or the other is a matter of convenience, instrumentation, efficiency, signal to noise, etc. but that the derived physical information is the same, and therefore the measurements are equivalent.

Time Resolved Four Wave Mixing

31 s2• A pair of pulses (Pump and

Stokes) excites coherent vibrations in the ground state

• A third (delayed) pulse probes the state of the system to produce signal

• The delay is scanned and dynamics is retrieved

However, practically ALL CARS and Four Wave

Mixing experiments were/are performed in the

frequency domain.

i.e. one is not directly measuring the molecular

polarization (wavefunction) which is oscillating at

optical frequencies.

Combined Time Frequency Detection of Four Wave Mixing

With: Dr. Yuri Paskover (currently in Princeton)Andrey Shalit

• Time Frequency Detection (TFD) : the best of both worlds

• Single Shot Degenerate Four Wave Mixing • Tunable Single Shot Degenerate Four Wave

Mixing• Multiplex Single Shot Degenerate Four Wave

Mixing• TFD simplified analysis• Conclusions

Outline

Time Resolved Four Wave Mixing

F.T.

Time Domain vs. Frequency Domain

2

(3)( ) ( , )S P t dt

In this TR-FWM the signal is proportional to a (polarization)2

and therefore beats are possible

Experimental System (modified)

Time frequency Detection (CHCl3)

500 1000 1500 2000 2500

1

Time [fs]

Arb

. Un

itsSummation over all

frequencies (Δ)

Time [fs]

[

cm-1

]

500 1000 1500 2000 2500

-800

-600

-400

-200

0

200

400

600

800

Open band:

500 1000 1500 2000 2500

1

Time [fs]

Arb

. Un

its

0 100 200 300 400 500 600 7000

1

R

[cm-1]

Arb

. Un

itsF.TOpen band:

Limited Band Detection

Time [fs]

[

cm-1

]

500 1000 1500 2000 2500

-800

-600

-400

-200

0

200

400

600

800

500 1000 1500 2000 25000

1

Time[fs]

Arb

.Un

its

Summation over 500cm-1 window

Open vs. Limited Detection

500 1000 1500 2000 2500

1

Time [fs]

Arb

. Un

its

0 100 200 300 400 500 600 7000

1

R

[cm-1]

Arb

. Un

its

500 1000 1500 2000 25000

1

Time[fs]

Arb

.Un

its

100 200 300 400 500 600 7000

1

R

[cm-1]

Arb

. Un

its

Open band:

Limited band:

F.T

F.T

Time [fs]

[

cm-1

]

500 1000 1500 2000 2500

-800

-600

-400

-200

0

200

400

600

800

Time Frequency Detection CHCl3

R

[cm-1]

[

cm-1

]

100 200 300 400 500 600 700

-800

-600

-400

-200

0

200

400

600

800

Spectral Distribution of the Observed Features

104 cm-1 365 cm-1

Observed frequency: 104 cm-1

Observed detuning : 310 cm-1

Observed frequency: 365 cm-1

Observed detuning : 180 cm-1

However, this is a long measurement, it takes approximately 10 minutes, or >> 100 seconds.

In what follows I will show you how this same task can be performed much faster.

1015 times faster, or in < 100 femtoseconds !

Time [fs]

[

cm-1

]

500 1000 1500 2000 2500

-800

-600

-400

-200

0

200

400

600

800

R [cm-1]

[

cm-1

]

100 200 300 400 500 600 700

-800

-600

-400

-200

0

200

400

600

800

Also A. Eckbreth, Folded BOXCARS configuration

~ 50-100 femtosecond pulses ~ 0.1 mJ per pulse

EaEb Ec

Time delay

( )s a b ck k k k Phase matching

Time Resolved Four Wave Mixing

Spatial Crossing of two short pulses:Interaction regions

k3 k1

5mmBeam diameter – 5 mm

100 fsec = 30 microns

Different regions in the interaction zone correspond to different times delays

k1 arrives first

k3 arrives first

3k1k

2k

sk

1 2 3sk k k k

Three pulses - Box-CARS geometry

Time delays Spatial coordinates

+y-yk1 first k3 first

z

k1k2k3

Pump-probe delay

k1k2 k3

Pump-probe delay

2,1 0

z y

2,3 0

z y

Intersection Region: y-z slice

Single Pulse CARS Image

CH2Cl2

Time Resolved Signal and its Power Spectrum

CHBr3

Several modes in the range

Time Resolved Signal and its Power Spectrum

Geometrical Effects : Phase mismatching

xy

z

3k

1k

2k

sk

s s

ck

n

1 2 3sk k k k

Shalit et al. Opt. Comm. 283, 1917 (2010)

Calculated Measured

Spectrum of the central frequency (coherence peak) as a function of the Stokes beam deviation

Measured and calculated tuning curve

max 0

41 cot

3

Measured

Calculated

Phase matching tuned spectra

TFD Single Shot – Sum

100 300 500 700

-600

-300

0

300

6001

10

100

1000

10000

For each time delay, a spectrally resolved spectrum was measured.

Time [fs]

[

cm-1

]

500 1000 1500 2000 2500

-800

-600

-400

-200

0

200

400

600

800

R [cm-1]

[

cm-1

]

100 200 300 400 500 600 700

-800

-600

-400

-200

0

200

400

600

800

Compare with scanned Results

100 300 500 700

-600

-300

0

300

6001

10

100

1000

10000

R

[cm-1]

[

cm-1

]

100 200 300 400 500 600 700

-800

-600

-400

-200

0

200

400

600

800

Single Shot multiplexing: Focused Beam

2k k sk k

L

+y-yk1 first k3 first

z

k1k2k3

Pump-probe delay

k1k2 k3

Pump-probe delay

2,1 0

z y

2,3 0

z y

Intersection Region: y-z slice

+y-yk1 first k3 first

z

Intersection Region: y-z slice

+y-y

z

Δ

Intersection Region: y-z slice

Time [fs]

[

cm-1

]

500 1000 1500

400

200

0

-200

-400

Time Frequency Detection: Single Shot Image

Focusing angle : δ = 3 mrad (CH2Br2)

Time Frequency Detection by Single Shot: Fourier Transformed

(CH2Br2)

R

[cm-1]

[c

m-1

]

100 200 300 400 500

-400

-200

0

200

400

TFD Scanned (CH2Br2)

Time [fs]

[c

m-1

]

500 1000 1500 2000 2500

-800

-600

-400

-200

0

200

400

600

800

R

[cm-1]

[

cm-1

]

150 200 250 300 350 400 450 500

-800

-600

-400

-200

0

200

400

600

800

R

[cm-1]

[c

m-1

]

100 200 300 400 500

-400

-200

0

200

400

R

[cm-1]

[c

m-1

]

100 200 300 400 500

800

600

400

200

0

-200

-400

-600

-800

Taken by single shot

Scanning method (10 min)

Signal to noise comparison 150 pulses 1500 pulses

15,000 pulses 150,000 pulses

Time [fs]

[

cm-1

]

500 1000 1500

400

200

0

-200

-400

Time Frequency Detection: Single Shot Image

Focusing angle : δ = 3 mrad (CH2Br2)

TFD Single Shot – polarization dependence

• Time Frequency combined measurements offer advantages over either domain separately

• Specific advantages in spectroscopy of unknown species, by the ability to identify the character of observed lines (fundamental or beat modes)

• Advantages in cleaning up undesirable pulse distortions• Single mode FWM measurements• Tunable single mode FWM measurements• Multiplex single mode FWM measurements• Significant theoretical foundation (not discussed here)• More work needed to improve resolution, bandwidth,

accuracy, reproducibility, etc

Conclusions

AcknowledgementsDr. Alexander Milner, Dr. Riccardo Castagna, Dr. Einat Tirosh, Sharly

Fleischer, Andrey Shalit, Atalia Birman, Omer Korech, Dr. Mark Vilensky, Dr. Iddo Pinkas

Thank you

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