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Combined Time Frequency Detection (TFD) by Single Shot Four Wave Mixing Yehiam Prior and Andrey Shalit Department of Chemical Physics Weizmann Institute of Science, Rehovot, Israel Coherent control, SafedSeptember 2012
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Spectroscopy can be performed either in the frequency domain or in the time domain Scan the frequency to observe a spectrum OR capture the time response to impulse excitation, and Fourier Transform to obtain a spectrum We are taught that it is a matter of convenience, instrumentation, efficiency, signal to noise, etc. but otherwise the derived physical information is the same, and is all we can have.
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Spontaneous Raman spectrum of chloroform (CHCl 3 ) Direct spontaneous Raman spectrum (Frequency domain - from the catalogue)
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Time Resolved Four Wave Mixing 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
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kk k1k1 k1k1 k2k2 k CARS Energy conservation Conservation of Momentum (phase matching) Raman 11 11 22 AS 1 - 2 - AS = 0 k = 2k 1 -k 2 -k AS = 0 Coherent Anti Stokes Raman Scattering (CARS)
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~ 35-100 femtosecond pulses ~ 0.1 mJ per pulse EaEa EbEb EcEc Time delay Phase matching Time Resolved Four Wave Mixing
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F.T.
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Time Domain vs. Frequency Domain In this TR-FWM the signal is proportional to a (polarization) 2 and therefore beats are possible
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Experimental System (modified)
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Time frequency Detection (CHCl 3 ) Summation over all frequencies (Δ)
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F.T
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Limited Band Detection Summation over 500cm -1 window
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Open vs. Limited Detection Open band: Limited band: F.T
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Time Frequency Detection CHCl 3
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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
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Take home message 1: Working with spectrograms (combined time frequency domains) can be useful BUT
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This is a long measurement, it takes approximately 10 minutes, or >> 100 seconds or >> 100,000 pulses. Do we care that this is a long measurement?
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Chlorophyll derivatives for PDT 200400600800 0 0.2 0.4 0.6 0.8 1 Number of Pulses ( X100) Normalized Transmission 2x10 15 photons/cm 2 Pixels 100200300400500600700 100 200 400 500 600 700 Pixels 1002003400600700 100 200 300 40 500 600 700 a b.................. Transmission Avigdor Scherz Iddo Pinkas
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Chlorophyll derivatives for PDT Avigdor Scherz Iddo Pinkas Transmission - Photo-bleaching 200400600800 0 0.2 0.4 0.6 0.8 1 Number of Pulses ( X100) Normalized Transmission Pixels 100200300400500600700 100 200 300 400 500 600 700 Pixels 100200300400500600700 100 200 300 400 500 600 700 a b
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Take home message 2: Working with spectrograms (combined time frequency domains) can be useful Doing it rapidly is important
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The measurement takes well over 100 seconds In what follows I will show you how this same task can be performed much faster 10 15 times faster, or in < 100 femtoseconds !
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Spatial Crossing of two short pulses: Interaction regions k3k3 k1k1 5mm Beam diameter – 5 mm 100 fsec = 30 microns Different regions in the interaction zone correspond to different times delays k 1 arrives first k 3 arrives first
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Three pulses - Box-CARS geometry Time delays Spatial coordinates
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+y-y k 1 firstk 3 first z k1k1 k2k2 k3k3 Pump-probe delay k1k1 k2k2 k3k3 Intersection Region: y-z slice
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Single Pulse CARS Image CH 2 Cl 2
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Time Resolved Signal and its Power Spectrum
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CHBr 3 Several modes in the range
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Time Resolved Signal and its Power Spectrum
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Strict Phase Matching : Phase Matching Filtering x y z
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Combined Time Frequency Measurements Scanning angle = Scanning frequency
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Combined Time Frequency Measurements by Single Shot
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+y-y k 1 firstk 3 first z Intersection Region: y-z slice
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+y-y z Δ Intersection Region: y-z slice
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Time Frequency Detection: Single Shot Image Focusing angle : δ = 3 mrad (CH 2 Br 2 )
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Time Frequency Detection by Single Shot: Fourier Transformed (CH 2 Br 2 )
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Scanned Measurements
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Single pulse measurement Scanning method >10 5 pulses
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Take home message 3: Working with spectrograms (combined time frequency domains) can be useful Doing it rapidly is important A full spectrum can be obtained within a single laser pulse
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What can we do with this new capability?
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Single Pulse Image (CH 2 Br 2 ) 180 cm -1 360cm -1 Ω= 180 cm -1 : Real vibrational frequency as a result of the inherent heterodyning due to the molecular anisotropy. Ω =360 cm -1 = 180cm -1 x2 : Homodyne beat due to the interference of two contributing spectroscopic pathways in non-resonant DFWM.
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Magic Angle Polarization S total = S iso +S aniso k1k1 k1k1 k2k2 k2k2 k3k3 k3k3 360cm -1 180cm -1
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|R zzzz | 2 |R zzmm | 2 Polarization Sensitive Single Shot
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Time-Polarization Single Shot
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Take home message 4: Working with spectrograms (combined time frequency domains) can be useful Doing it rapidly is important A full spectrum can be obtained within a single laser pulse Depolarization ratios can be easily measured
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Two Dimensional Time Resolved Single Shot
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Two Dimensional Image: IR 140
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Photo-degradation of WST11
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Pd Role of the Central Atom Without metal atom With Pd
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Take home message 5 : Working with spectrograms (combined time frequency domains) can be useful Doing it rapidly is important A full spectrum can be obtained within a single laser pulse Depolarization ratios can be easily measured Photo-bleachable molecules are now more readily accessible for measurements
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Summary Working with spectrograms (combined time frequency domains) can be useful Doing it rapidly is important A full spectrum can be obtained within a single laser pulse Depolarization ratios can be easily measured Photo-bleachable molecules are now more readily accessible for measurements [1] Y. Paskover, I. S. Averbukh, YP, Opt. Exp. 15, 1700 (2007) [2] A. Shalit, Y. Paskover, YP, Chem. Phys. Lett 450, 408, (2008) [3] Y. Paskover, A Shalit Y. Prior, Opt. Comm. 283, 1917 (2010) [4] A. Shalit and Yehiam Prior, PCCP, In press (2012)
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+ 0 Detuning from a probe (k 3 ) carrier frequency k1k1 -k 2 k3k3 k1k1 k3k3 Time Frequency Detection
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Detuning from a probe carrier frequency (Δ) 0 Spectral Distribution of the Signal Produced by a Fundamental Mode In TR-DFWM, we have shown that because of the quadratic dependence on the polarization, fundamental modes may be seen only after linearization of the signal, i.e. by heterodyne detection
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Spectral Distribution of the Signal Produced by Intensity Beat Detuning from a carrier (Δ) 0
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Identification of signals: Fundamental modes of frequency Ω 1 are spectrally peaked at Ω 1 /2 Intensity beats at frequency (Ω 1 ± Ω 2 ) spectrally peaked at [ (Ω 1 -Ω 2 )/2 ] Based on this result, it is now possible to directly and unambiguously identify the character of each peak
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TFD analysis: CCl 4
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Homodyne beat : (Ω 1 -Ω 2 )=99cm -1 Detuning : (Ω 1 +Ω 2 ) /2=260 cm -1 Ω 1 = 210 cm -1 ; Ω 2 = 309 Homodyne beat : (Ω 3 -Ω 4 ) = 246cm -1 Detuning : (Ω 3 +Ω 4 )/2 =337 cm -1 Ω 4 = 214 cm-1 ; Ω 3 = 460
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Homodyne beat : (Ω 5 -Ω 6 ) = 147cm-1 Detuning : (Ω 5 +Ω 6 ) /2 = 385 cm -1 Ω 5 = 317 cm -1 ; Ω 6 = 464 cm -1 210309 317464 214460 DERIVED fundamental frequencies 214313460 KNOWN CCl 4 Modes TFD analysis: CCl 4
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Thank you
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