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Characterization of short pulses.

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Presentation on theme: "Characterization of short pulses."— Presentation transcript:

1 Characterization of short pulses.
A. Yartsev

2 What is good to know about short pulses?
Energy of each pulse Average power Spectrum Spatial distribution Temporal profile Satellites Duration Shape

3 Energy/Power measurements. from pico-Joule to peta-Watt
Physics of detection Choice of detector Linearity Sensitivity Spectral response Response time Damage

4 Spectral shape What do you need the spectrum for? Sensitivity range.
Calibration of the spectrometer. Dynamic range. Optics on the way. Fibber ”wave guides”.

5 Beam profile Assume Gaussian? Measure real profile.
Measure power through calibrated pinholes Blade-edge method Measure real profile. 2-D detector: CCD matrix 1-D array detector Linearity of response

6 Temporal profile: What for?
Satellites: quality of amplification, quality of measurements Pulse duration: FWHM Instrumental response function Transform-limited pulse Pulses of random shape

7 Electrical (direct) measurements of pulse duration: not fast enough and (very) expensive.
Photodiode: >10 ps (+fast Oscilloscope) Streak Camera: 100 fs (?), ~1 ps

8 All-optical methods Time from distance: 1 fs  0.3 m
Math: correlation function determines F(t) if G() is measured and F’(t) is known.

9 Autocorrelation Interferometric AC Intensity AC Single – shot AC
Both F(t) and F’(t) are replica’s of the same function E(t)exp

10 Interferometric AC F(t) = E(t)exc[it+i(t)]
I1() = |E(t)exc[it+i(t)] +E(t-)exc[i(t- )+i(t-)]|2dt I2() = |{E(t)exc[it+i(t)] +E(t-)exc[i(t- )+i(t-)]}2|2dt First order AC: I1(=0)/I1() = 2 Second order AC: I2(=0)/I2() = 8

11 Interferometric AC

12 Interferometric AC

13 Limitions of AC Non-specific: one has assume a particular pulse shape.
Returns only amplitude.

14 Full-field characterization of femtosecond pulses by spectrum and cross-correlation measurements
OPTICS LETTERS / Vol. 24, No. 23 / December 1, 1999 J. W. Nicholson, J. Jasapara, and W. Rudolph F. G. Omenetto and A. J. Taylor

15 Frequennsy-resolved optical gating FROG
Rev. Sci. Instrum., Vol. 68, No. 9, September 1997 R. Trebino, K. W. DeLong, D. N. Fittinghoff, J. N. Sweetser,

16 FROG Rev. Sci. Instrum., Vol. 68, No. 9, September 1997
R. Trebino, K. W. DeLong, D. N. Fittinghoff, J. N. Sweetser,

17 Single-shot FROG

18 FROG

19 Limitions of FROG Requirements on set-up: linear detector response, step size, S/N. Delay-scanning technique. Measures 2D characteristic – long. Non-specific: needs a (complicated) retrival to get pulse. Does not always converge.

20 X-FROG: spectrally-resolved cross-correlation of an unknown pulse with the reference pulse.

21 TADPOLE Rev. Sci. Instrum., Vol. 68, No. 9, September 1997
R. Trebino, K. W. DeLong, D. N. Fittinghoff, J. N. Sweetser,

22 FRPP: pump-probe FROG OPTICS LETTERS / Vol. 27, No. 13 / July 1, 2002
S. Yeremenko, A. Baltuˇska, F. de Haan, M. S. Pshenichnikov, D. A. Wiersma

23 Self-Referencing Spectral Interferometry for Measuring Ultrashort Optical Pulses SPIDER
IEEE J Quant.Elctr. Vol. 35, No. 4, April 1999 C. Iaconis, I.A. Walmsley

24 SPIDER

25 Advantages of SPIDER No moving parts Direct reconstruction (>1kHz)
Noise immunity Low sensitivity to detector spectral response Precision and consistency mesures from data

26 Limitions of SPIDER Has to be optimised for a particular time-and spectral range. Requires calibration. Very sensitive to delay between pulses – sensitive to alignment.

27 After SPIDER: ZAP-SPIDER

28 After SPIDER: SEA-SPIDER
E. M. Kosik and A. S. Radunsky I. A. Walmsley C. Dorrer OPTICS LETTERS Vol. 30, No. 3, 2005

29 After SPIDER: 2DSI OPTICS LETTERS / Vol. 31, No. 13 / July 1, 2006
J. R. Birge, R. Ell, F. X. Kärtner


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