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1.INTRODUCTIONKnowledge of greenhouse gases at worldwide level is a major issue to assess and eventually correct climate changes. We can quote two spatial missions coming up for 2021 having this purpose. On the one hand the mission MICROCARB will use a grating spectrometer in order to map sources and sinks of carbon dioxide, the most important greenhouse gas, on a global scale1. On the other hand MERLIN will go to measure concentrations of atmospheric methane using an IPDA LIDAR2. LIDARs are foreseen for such global measurements, however most of the actual LIDAR are mono-specie and with a long acquisition times. The use of frequency combs as a laser source appears as a good workaround. Intrinsically these lasers have a wide spectral coverage with a high repetition rate making possible a multi-species and fast acquisitions detection. Moreover, dual comb spectroscopy gets around the difficulty to record a wide spectral bandwidth with high resolution compared to classical Fourier spectrometers using a Michelson device. 2.DUAL COMB SPECTROMETERThe frequency comb results from the sum of phase locked optical frequencies3 delivered by a femtosecond laser as it is shown in fig. 1. These lasers are fully described by two parameters, the pulse repetition rate frate which fixes the gap between the teeth of the comb. The second parameter is the so called carrier envelope offset frequency f0, and because of it, the teeth of the comb are not the overtones of the pulse repetition rate. The carrier envelop offset comes from the temporal phase difference ΔΦ between pulses. This phase difference results from the difference between the group velocity and the phase velocity inside the active laser medium. Fig. 1:The frequency comb in the time domain: two subsequent pulses are separated by the round trip time 1/frate and show a phase shift ΔΦ. In the frequency domain two subsequent teeth are separated by the repetition rate frate. The temporal phase shift causes an offset f0 in the frequency domain ![]() In 2002 Schiller and al proposed a new spectroscopy method using two frequency combs4. Like a traditional Fourier transform spectrometer, this approach is based on the principle of down-converting optical frequencies. The principle of the experiment involves two sources of frequency combs with slightly different repetition frequencies. The two sources are combined and sent to probe the gas sample under study. Figure 2 shows that down conversion between the combs produces a comb in the radio frequency (RF) domain which can be detected with a a standard 1 Ghz bandwidth photodiode. The signal acquired on the photodiode shown in fig. 3 is called an interferogram, its Fourier transform gives a correspondence of the optical spectrum in the RF domain. To retrieve the optical spectrum, the Fig. 2:Two frequency combs with different repetition rates frate,1 and frate,2 are overlapped and form a beating signal that is a comb in the radio frequency domain. Hence, the optical frequencies are down-converted to radio frequencies by the scaling factor ![]() 3.EXPERIMENTAL SETUP AND RESULTWe have performed some ground tests of our IPDA LIDAR similarly to those performed recently by Rieker and al6. The sketch of our experimental setup is illustrated in Fig. 4. Two Er-doped fiber optical frequency combs working at 100 MHz are arranged to have an offset repetition rate of 220 Hz. Each comb provides a pulse train with an average power of ~ 60 mW and pulse duration of ~ 70 fs. The laser beams from the two frequency combs are combined and sent through 140 meters of atmosphere then reflected by a retroreflector before collection by a 200 mm diameter telescope focusing on a photodiode. The interferometric signal is then digitized by a high speed acquisition card. Fig. 4:a) Sketch of the IPDA Lidar setup. Two Er frequency combs are sent in the atmosphere, passing through 140 meters targeting a retro reflector. The reflected beam is collected by a 200 mm diameter telescope focusing on a photodiode. The interferometric signal is then digitized by a high speed acquisition card. b) Picture of the beam’s path. In the foreground the telescope and in the background the building having on the retro reflector. ![]() A single shot interferogram is recorded in 70 μs which can be repeated every 5 ms (1/Δf). Its Fourier transform gives the absorption spectrum of the probed 280 meters path length. The recorded spectral domain equals the spectral bandwidth of the sources (100 nm around 1550 nm) where H2O and CO2 lines are present with a spectral resolution of about 6.2 GHz. We recorded 500 interferograms in approximatively 5 seconds (500 x 5 ms = 2.5 s), the mean enables to reach a satisfactory signal to noise ratio allowing to observe easily CO2 and H2O absorption peaks as shown in fig. 5. Fig. 5:In blue line the absorption spectrum with H20 absorption peaks around 1500 nm and CO2 absorption peaks around 1580 nm. In red line the envelope which is obtained by removing the points belonging to the absorption peaks. Linear interpolation is used to substitute the deleted points. ![]() The spectrum is calibrated with respect to a reference absorption peak of water at 1498 nanometers and the Fig. 6:Upper graph shows the atmospheric transmission centered on the H2O absportion peaks and lower graph the atmospheric transmission centered on CO2 absorption peaks. Experimental data is shown in red and the fit from the HITRAN 2012 data base is drawn in blue. The fits from HITRAN return concentrations of 5000 ppm for H2O and 300 ppm for CO2 under standard ambient temperature and pressure. ![]() 4.CONCLUSION:A dual comb spectroscopy set up was achieved allowing to detect and measure the concentration of some greenhouse gas species in the atmosphere. The first results give the CO2 and H2O concentrations measured over 200 meters laser path in the atmosphere. Currently the lasers temporal stability is the limited parameter. We are presently working on this issue through improvement of the control or compensation7 of the parameters frate and f0 in order to increase the sensitivity of the spectrometer. We are also working on a method to estimate the uncertainties on the measured concentrations from different identified error sources. REFERENCES:PASTERNAK, Frederick, BERNARD, Philippe, GEORGES, Laurent, et al.,
“The microcarb instrument.,”
in International Conference on Space Optics—ICSO 2016,
105621P
(2017). Google Scholar
PIERANGELO, C., MILLET, B., ESTEVE, F., et al.,
“Merlin (methane remote sensing Lidar mission): An overview,”
in EPJ Web of Conferences. EDP Sciences,
26001
(2016). Google Scholar
DIELS J.C. et RUDOLPH W., Ultrashort Laser Pulse Phenomena, Elsevier,2006). Google Scholar
SCHILLER, S.,
“Spectrometry with frequency combs,”
Optics letters, 27
(9), 766
–768
(2002). https://doi.org/10.1364/OL.27.000766 Google Scholar
TELLE, Harald R., STEINMEYER, G., DUNLOP, A. E., et al.,
“Carrier-envelope offset phase control: A novel concept for absolute optical frequency measurement and ultrashort pulse generation,”
Applied Physics B, 69
(4), 327
–332
(1999). https://doi.org/10.1007/s003400050813 Google Scholar
RIEKER, Gregory B., GIORGETTA, Fabrizio R., SWANN, William C., et al.,
“Frequency-comb-based remote sensing of greenhouse gases over kilometer air paths,”
Optica, 1
(5), 290
–298
(2014). https://doi.org/10.1364/OPTICA.1.000290 Google Scholar
IDEGUCHI, Takuro, POISSON, Antonin, GUELACHVILI, Guy, et al.,
“Adaptive real-time dual-comb spectroscopy,”
Nature communications, 5 3375
(2014). https://doi.org/10.1038/ncomms4375 Google Scholar
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