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Time-dependent simulations of a CW pumped, pulsed DC discharge Ar metastable laser system

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Abstract

Optically pumped rare gas lasers have the potential for scaling to output powers above the kW level. In these devices, electrical discharges through He/Rg mixtures (Rg = Ne, Ar, Kr and Xe) are used to generate metastable Rg atoms in the 1s5 state. Optical pumping to the 2p9 level, followed by collisional relaxation to 2p10, is then used to produce lasing on the 2p10-1s5 transition. Several computational models have been developed to analyze CW systems using steady-state approximations for the discharge excitation, optical pumping and lasing processes. However, recent experiments show that repetitively pulsed discharges have advantages for producing larger volume, high-pressure discharges. Here we present dynamic simulations of a CW laser that uses pulsed-discharge production of Ar metastables. Time-dependent equations are solved for both the discharge and lasing process. Two models are investigated. The first considers the conditions within the lasing medium to be spatially uniform (zero-dimensional model). The second allows for spatial variations along the lasing axis (one-dimensional model). The models were evaluated by simulating the performance characteristics of an experimentally demonstrated system that provides time-averaged output energies in the range of 3-4 W. Time-dependent species densities, laser power and longitudinal spatial distributions are presented.

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

1. Introduction

Optically pumped rare gas lasers (OPRGLs) have been the subject of several experimental and theoretical studies since they were first demonstrated in 2012 [1–18]. These lasers are similar in concept to diode pumped alkali lasers (DPALs) [19–21], but have the advantage of utilizing a chemically inert lasing medium. The heated alkali metal vapors used in DPALs are chemically aggressive, attacking the walls and optical windows of the containment system. Unsaturated hydrocarbons (typically methane or ethane) are often used as energy transfer agents in DPAL’s, and there is chemical degradation resulting from photo-induced reactions of the hydrocarbons with the alkali metal vapors. In contrast, OPGRLs use inert rare gas atoms (Rg = Ne, Ar, Kr or Xe) as the lasing species, and collisional energy transfer is accomplished using He as the relaxation agent. Hence, the entire system is chemically inert and well-suited for closed-cycle operation.

OPRGLs utilize transitions between metastable electronically excited states of rare gas atoms. These states are initially populated by means of a low-power electric discharge (this step is the functional equivalent of heating the alkali metal to obtain sufficient vapor pressure in the DPAL systems). OPRGLs are, in essence, three-level systems. The most important processes are shown in Fig. 1, where the levels have been labeled using Paschen notation. Optical pumping is achieved by excitation of the 2p9-1s5 transition. A population inversion between 2p10 and the 1s5 level is generated by rapid collisional relaxation from 2p9 to 2p10. The energy transfer agent for this step is He. The system then lases on the 2p10-1s5 transition. Note that the 1s4 and 2p8 levels are included in Fig. 1 as they have some peripheral involvement in the kinetics. As 2p8 is close in energy to 2p9, there is forward and backward energy transfer between these levels (both are subject to rapid collisional relaxation to 2p10). The 1s4 level receives some population by means of radiative relaxation from 2p10. The population diverted by this channel is returned to the lasing cycle by Rg(1s4) + He→Rg(1s5) + He energy transfer. The present study is focused on the Ar laser, where the pump and lasing wavelengths are 811.5 nm and 912.3 nm, respectively. The scaling potential for this system was indicated by an experimental study that used pulsed laser excitation, producing Ar laser pulses with an intensity of 27 kW cm−2 [1].

 figure: Fig. 1

Fig. 1 Three-level diagram of OPRGL.

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Continuous-wave (CW) lasers have been demonstrated using high-frequency micro-discharge [3] and pulsed DC discharge techniques to generate Ar metastables [2]. A laser that employed a micro-discharge array provided an output laser power of 22 mW with an optical-to-optical power conversion efficiency of 55% (ratio of the output laser power and the absorbed pump power) [3]. Pulsed discharges have also proved to be efficient in producing Ar metastables in Ar/He mixtures at total gas pressures near 1 atm. Short duration pulses (<200 ns) applied with a repetition frequency of 100-200 kHz have yielded sustained Ar(1s5) number densities near 2x1013 cm−3. A diode pumped device that used this approach gave a CW output power of 4.1W with a power conversion efficiency of 31% [2].

Several computational models for OPRGLs have been developed, with most of the effort focused on the Ar/He system [3–6,11,12,16,22, 23]. Demyanov et al. [4] reported the first computational study of a CW OPRGL. Electron impact excitation and ionization processes were simulated using electron energy distribution functions that were obtained by solving the Boltzmann equation. Stationary-state solutions of three level laser rate equations were then examined. Based on the results, Demyanov et al. [4] concluded that 60% total efficiency, defined as the output power divided by the sum of the discharge and pump powers, could be achieved in near atmospheric pressure gas mixtures at ambient temperature (300 K). In other simulations the discharge was not modeled. The kinetic equations were solved under the assumption of a fixed number density for the metastables. To analyze the performance of their CW Ar laser system, Rawlins et al. [3] applied a steady-state model for a four-level system consisting of the Ar(1s5), Ar(1s4), Ar(2p9) and Ar(2p10) levels. A key observation from the experiment was that the gas temperature within the micro-discharge was approximately 600 K. Modeling the system with energy transfer rate constants that were determined at 300 K yielded poor agreement with the experimental results. Good agreement was obtained with the assumption that the rate constants for 1s4→1s5 and 2p9→2p10 followed Arrhenius temperature scaling over the 300-600 K range.

Yang et al. [6] developed a five-level model based on stationary-state solutions of the rate equations for the Ar(1s5), Ar(1s4), Ar(2p8), Ar(2p9) and Ar(2p10) levels. Optical excitation was represented by a longitudinally averaged pump laser in a double-pass configuration. For a pump intensity of 2-4 kW/cm2, helium pressure of 1-2 atm, and Ar(1s5) number density of (1-5) × 1013 cm−3, they concluded that the system could reach 50%-60% optical power conversion efficiency. The concentration of Ar(1s5) was chosen to be consistent with the micro-discharge laser system of Rawlins et al. [3]. In a subsequent study, to better characterize the conditions of the micro-discharge plasma, Hoskinson et al. [11,12] used diode laser absorption spectroscopy, photography and fluid dynamic modeling to determine the characteristics both perpendicular and parallel to a flat substrate that supported a single split-ring electrode.

Returning to the dynamics of the discharge, Emmons and Weeks [5] established zero- and one-dimensional (transversally resolved) models to analyze kinetics of species in a pulsed (20 μs duration) DC discharge. Key reaction pathways were identified. Both models predicted time-dependent densities, electron temperatures, current densities and reduced electric fields. In the positive column of the discharge the zero- and one-dimensional models were in good agreement.

Models including both discharge dynamics and optical physics were reported recently. Eshel and Perram [22] extended Yang et al.'s [6] five-level laser model to include electron impact excitation of the ground state and the five levels of the laser system. Electron temperature and density were treated as free parameters, determined by comparing the model predictions to experimental results. Long et al. [17] established a two-stage model, with the first stage being discharge excitation and the second stage optical pumping. The ground state and five excited levels were considered. Rate coefficients for electron collision processes were obtained using the BOLSIG + computational code [24]. The optical excitation and lasing kinetics were simulated using the model of Yang et al. [6].

The models presented in references [22] and [17] were developed for steady-state conditions. However, the most successful approach (to date) for the generation of a larger volume plasma relied on a repetitively pulsed discharge. Clearly, time-dependent models are required for analyses of lasers that use this type of discharge. Other limitations of the previous models include longitudinal averaging of the radiation fields and species number densities. In this paper, we present time-dependent models of a longitudinally pumped laser in zero-dimension and one spatial dimension that include pulsed discharge excitation, species densities, optical pumping and laser output. The models are evaluated by comparing to the experimental results of Han et al. [2].

2. Model description

2.1. Zero-dimensional model

The ZDPlasKin (Zero-Dimensional Plasma Kinetics) [25] software package was used to simulate the time evolution of the species densities in the pulsed discharge based on the equations:

aA+bBa'A+cC[+δε]
dnidt=j=1jmaxQij(t)
Rj=kj[nA]a[nB]b
QAj=(a'a)Rj,QBj=bRj,QCj=cRj
where (1) represents a reaction indexed by j that involves species A, B and C. δε is the energy gained or lost in the reaction. ni is density of species i, with i = 1-18 corresponding to Ar(1s5), Ar(2p10), Ar(2p9), Ar(1s4), Ar(2p8), e-, Ar, Ar+, Ar2+, Ar2*, Ar(hl), He, He+, He*, He2+, He2*, HeAr+ and e-(W), in which the last entry represents electrons removed through ambipolar diffusion to the walls. Ar(hl) represents all energy levels of Ar above 2p9. It is assumed that the cross-section for excitation of Ar(3d6) can be applied for all excitations to the ensemble of all higher energy levels. kj is the rate coefficient, Rj is the rate, and Qij is the source term for species i corresponding to the contribution from reaction j. The gas temperature is considered to be constant in our model (δε terms were not included). The DVODE solver within ZDPlasKin carries out the time integration of rate equations. The Boltzmann equation solver (BOLSIG + ) [24] generates the electron temperature and reaction rate coefficients using the updated reduced electric field E/N (where E is the electric field and N is the total particle density) for each time step. The electron impact reaction cross sections used for these calculations were downloaded from LXCat (https://fr.lxcat.net/home/). The ZDPlasKin and BOLSIG + programs are widely used for plasma simulations and considered to be reliable by the plasma physics community at large. The simulations carried out in the present study yielded physically reasonable results, indicating that the communication between the ZDPlasKin and BOLSIG + programs was working correctly. We did not attempt to make an independent assessment of the validity of these codes.

The discharge system was represented by a simple circuit with a voltage supply, a ballast resistor and a pair of parallel plate electrodes, as shown in Fig. 2. Electrons were considered as the only current carriers. The voltage applied across the positive column Vpc was approximated by the expression

Vpc=V0eRAgnevdrVc
where V0 is the voltage provided by the generator, e is the elementary charge, R is the resistance of the ballast resistor, Ag is the electrode area, ne is the electron density, vdr is electron drift velocity and Vc is the cathode fall voltage. The reduced electric field is updated using the relationship EN=VpcNdg, where E is electric field in the transverse direction, N is total density of neutral species, and dg is the electrode gap.

 figure: Fig. 2

Fig. 2 Equivalent electrical circuit for the pulsed discharge.

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The set of discharge reactions and their rate coefficients were mainly derived from Emmons and Weeks [5]. This set includes electron impact, recombination, two-heavy-body, three-heavy-body and radiative reactions. A few changes were made to adapt the model to the specific laser system under consideration. Optical pumping and stimulated emission processes were included. We used Arrhenius temperature scaling of the rate constants for simulations at different gas temperatures for the Ar(1s4) + M → Ar(1s5) + M and Ar(2p9) + M → Ar(2p10) + M, M = Ar or He transfer processes. The scaling relationships used are given in Table 1.

Tables Icon

Table 1. Arrhenius equations for temperature dependent energy transfer rate constants

The rate of ambipolar diffusion loss Ra [21] was calculated using the expression

Raμ+TeΛ2
where μ+ is the ion mobility, Te is the electron temperature, and Λ is the characteristic length defined by dg/π. The mobility of Ar+ was calculated by Blanc's law [26], and it was assumed that the mobilities of Ar2+ and HeAr+ could be approximated by the same value. The mobilities of He+ and He2+ were set to 10.7 and 16.2 cm2/V∙s, respectively [27]. The rate coefficient for the decay of radiatively trapped Ar(1s4) → Ar(1S0) was set to 5.6 × 105 s−1 [7].

Standard methods for calculating beam intensities, and rates of pump and laser transitions in a longitudinally pumped double-pass configuration were applied [21]. Non-stationary solutions were sought as the densities of Ar(1s5), Ar(2p9) and Ar(2p10) were changing with time due to discharge excitation, optical pumping and laser transitions. The average intracavity laser intensity (Iave) and rates for the pump transition (Wpump) and laser transition (Wlaser) were also time-dependent. These variables were determined by

Wpump=ηdνIpin(ν)lghνp{1exp[σp(ν)(n3g3g1n1)lg]}{tp+tp3rpexp[σp(ν)(n3g3g1n1)lg]}
Wlaser=σl(νl)(n2g2g1n1)hνlIave
dIavedt={tstl4rlexp[2lgσl(νl)(n2g2g1n1)]1}Iavec2lc+n2c2σl(νl)hνlSlg
Where η represents the spatial overlap efficiency of the pump and laser beams, Ipin(ν) is the pump intensity that enters the laser cavity, lg is the length of gain medium, and p and l are photon energies of the pump and laser radiation. The output beam was assumed to be single mode. Ϭp(νp) and Ϭl(νl) are cross sections of the pump and laser transitions. Collisional broadening coefficients (He at 300 K) for the pump and laser transitions were 3.2 × 10−10 cm3s−1 [18] and 7.5 × 10−10 cm3s−1 [3], respectively. n1, n2, n3 are the densities of Ar(1s5), Ar(2p10) and Ar(2p9), and g1, g2, g3 are degeneracies of these levels. rp is the output coupler (OC) reflectivity at the pump wavelength, rl is OC reflectivity at the lasing wavelength, and lc is the resonator cavity length. tp and tl are single-pass discharge cell window transmissions for the pump and laser wavelengths, respectively. Other intra-cavity single-pass losses, including the scattering loss, were assumed to be located at the high reflector end with transmittance ts. Due to the strong divergence of diode pump beam in the experiment [2], rp was assumed to be zero. The absorbed pump intensity Iabs and output laser intensity Iout were calculated by

Iabs=ηdνIpin(ν){1tp2exp[σp(ν)(n3g3g1n1)lg]}
Iout=Iavetlσl(νl)(n2g2g1n1)lg(1rl)exp[σl(νl)(n2g2g1n1)lg]{exp[σl(νl)(n2g2g1n1)lg]1}{1+tl2rlexp[σl(νl)(n2g2g1n1)lg]}

2.2. One-dimensional model

In the one-dimensional model, y mesh elements of equal length were introduced longitudinally, labeled as m = 1 to m = y. Calculations with differing values for y indicated that adequately converged results could be obtained for y>40. A value of y = 50 was adopted as a viable compromise between accuracy and computational run-time. The zero-dimensional ZDPlasKin model [25] was applied within each mesh element. Species densities and intensities of pump and laser radiation within each segment were calculated for each time step:

dt=lgyc
In the zero-dimensional model, electron density, drift velocity and electron temperature exhibited no significant differences before and after optical pumping, so in each mesh element they were assumed equal to those in the mid-point element, y/2.

Figure 3 shows the propagation direction and mesh elements of the one-dimensional model. tos, equal to lclgc+dt, is the time it takes the rightward laser light to propagate from the right boundary of mesh = y-1, reflect (turns to leftward propagation), and then to the right boundary of mesh = y. The time interval is the same for the equivalent process at the left side for light propagating from the left boundary of mesh m = 2 and returning to the left boundary of m = 1. In mesh element m, IR(t,m) represents rightward laser intensity at the left boundary, IL(t,m) represents leftward laser intensity at the right boundary, and n(t,m) represents species density for the whole element.

 figure: Fig. 3

Fig. 3 Schematic diagram showing propagation directions and mesh elements.

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Based on light amplification principles [28], the pump and laser transition rates in mesh element m can be derived as follows:

Wpump(t,m)=σp(ν)hνp[n3(t-dt,m)g3g1n1(t-dt,m)]{[IPR(t-dt,ν,m)+IPR(t-dt,ν,m+1)]2+[IPL(t-dt,ν,m)+IPL(t-dt,ν,m1)]2}dν
Wlaser(t,m)=σl(νl)hνl[n2(t-dt,m)g2g1n1(t-dt,m)]{[ILR(t-dt,ν,m)+ILR(t-dt,ν,m+1)]2+[ILL(t-dt,ν,m)+ILL(t-dt,ν,m1)]2}
where IPR,ILR,ILL indicate local intensities of rightward pump, rightward laser and leftward laser beams. They are determined by:
IPR(t,ν,m)={σP(ν)[n3(t-dt,m1)g3g1n1(t-dt,m1)]cdt+1}IPR(t-dt,ν,m1)
ILR(t,m)={σl(νl)[n2(t-dt,m1)g2g1n1(t-dt,m1)]cdt+1}ILR(t-dt,m1)+n2(t-dt,m1)c2σl(νl)hνlSlgdt
ILL(t,m)={σl(νl)[n2(t-dt,m+1)g2g1n1(t-dt,m+1)]cdt+1}ILL(t-dt,m+1)+n2(t-dt,m+1)c2σl(νl)hνlSlgdt
Where S is the cross-sectional area of the laser beam. Note that the equations for the power densities at m = 1 and m = 50 are different from the above expressions due to transit of the region outside of the gain medium:
IPR(t,ν,1)=tpIpin(tlclg2c,ν)
ILR(t,1)=tstl2({σl(νl)[n2(t-tos,1)g2g1n1(t-tos,1)]cdt+1}ILL(t-tos,1)+n2(t-tos,1)c2σl(νl)hνlSlgdt)
ILL(t,y)=rltl2({σl(νl)[n2(t-tos,y)g2g1n1(t-tos,y)]cdt+1}ILR(t-tos,y)+n2(t-tos,y)c2σl(νl)hνlSlgdt)
where Ipin is the input pump intensity. Then the absorbed pump intensity IPabs(t) and output laser intensity ILout(t) are calculated using the equations:
IPabs(t)=(Ipin(tlcc,ν){σP(ν)[n3(t(lclg)2cdt,y)g3g1n1(tlclg2cdt,y)]cdt+1}tpIPR(t(lclg)2cdt,ν,y))dν
ILout(t)=(1rl)tl({σl(νl)[n2(t(lclg)2cdt,y)g2g1n1(t(lclg)2cdt,y)]cdt+1}ILR(t(lclg)2cdt,y)+n2(t(lclg)2cdt,y)c2σl(νl)hνlSlgdt)
Equations (13) and (14) define the rates corresponding to the transitions between lower and upper energy levels through absorption and stimulated emission. The rates are proportional to the number densities in related levels and incident radiation coming from both rightward and leftward directions. Equations (15)–(17) represent the energy change of radiation passing through a mesh element. This is composed of the energy released through stimulated and spontaneous emission, and the energy absorbed through excitation. The effect of spontaneous emission, presented as the second term in (16) and (17) is key to initiate the build-up of laser emission. It is neglected for the pump transition, since the loss of population of the upper level is dominated by stimulated emission and collisional energy transfer.

3. Comparison with experimental results

In pulsed discharge experiments that used 21 W pump power [2], the maximum laser output power realized was 4.1 W. Using 19.7 W pump, the output power was 3.8 W with an optical-to-optical power conversion efficiency of 31%. The Ar(1s5) density was estimated to be on the order of 1013 cm−3 before optical excitation [2]. To test the validity of our models, the parameters were set close to the experiment values. The pump power was set to 21 W with estimated beam areas of 2, 2.5 or 3 mm2 (difficult to determine for the experiment due to the irregular beam shape and anisotropic divergence, combined with unsophisticated focusing optics). For the lineshape of the pump laser, the full width at half maximum for the Gaussian profile was set to 30 GHz. The optical cavity for the Ar* laser was 30 cm long, with a 40% reflective OC. The discharge voltage was 1500 V amplitude, 80 ns duration, and 200 kHz repetition frequency. This pulse train was applied to electrodes of 3 cm length, 0.63 cm wide, with a 0.26 cm gap. We used a triangle voltage profile in simulations, with 40 ns rise from 0 V to 1500 V and 40 ns decay from 1500 V to 0 V, approximating the rising and trailing edges of the voltage pulse. 80% of the supply voltage was used to take into account discharge power loss that resulted in heat dissipation. The cathode fall voltage was calculated to be approximately 160 V. The gas medium was 720 Torr of a 5.3% Ar/He mixture. A 75 Ω ballast resistor was used (Eq. (5)). An optical mode matching efficiency of η = 0.95 was assumed. Single-pass cell window transmissions for pump and laser wavelengths were assumed to be 99%, and other single-pass losses were set at 5%. A temperature shift of roughly 300K was theoretically possible [3], and also consistent with the experimental observations. The microdischarge laser reported in [3] was estimated to be operating with a gas temperature near 600K. The temperature range for the pulsed discharge set-up used for the 4.1 W laser [2] was investigated by means of emission spectroscopy. A trace of N2 was added to the gas flow and the emission bands of the N2 C-B transition were recorded at the level of rotational resolution. The local gas temperature was determined from the rotational line intensity distributions. Values of 600 ± 100 K were obtained for the typical lasing conditions. In addition, we have used the ZDPlasKin model to predict the gas temperature in the discharge. In these calculations it was assumed that the dominant heating process was inelastic collisions of the electrons with He. Hence, the rate of thermal energy deposition was calculated using the BOLSIG + package. Heat loss was assigned to the gas flow through the system (at a measured flow rate of 87 cm3 s−1). The balance of these terms, calculated for the 1500 V discharge at 720 Torr, predicted a local gas temperature of 540 K.

Simulations of the discharge and laser performance at gas temperatures of 300, 400, 500 and 600 K were carried out. Results from the zero-dimensional model (average values of periodic properties) are presented in Fig. 4. These simulations, with gas temperatures of 300-600 K and beam areas of 2.0-3.0 mm2, were in satisfactory agreement with the experimental results. At 500K, the discharge system can produce an Ar(1s5) density of 1.78 × 1013 cm−3 before optical pumping. With optical pumping the output power ranges from 3.58 to 5.04 W, with optical-to-optical power conversion efficiencies of 29.8% to 43.4%. We also used the zero-dimensional model to examine the lower limit for the discharge pulse frequency that could maintain continuous lasing. This was predicted to be 90 kHz, determined by the overall decay of the 1s5 population.

 figure: Fig. 4

Fig. 4 (a) Averaged Ar(1s5) density before optical excitation, (b) averaged output laser power and (c) conversion efficiency. Temperature: 300K-600K. Beam area: 2-3 mm2 in (b) and (c). (zero-dimensional model)

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As noted above, some experimental parameters for the CW Ar laser have considerable uncertainties (e.g., pump beam focus diameter and the local gas temperature) and the temperature dependencies of the energy transfer rate constants are not well characterized. As a consequence, the present model is constrained by optimizing the beam focus and gas temperature, with specific assumptions concerning rate constant temperature dependencies (c.f. Table 1), against the available experimental data. Future experimental studies will be conducted to reduce the parameter uncertainties and measure rate constants at elevated temperatures. Modeling can provide guidance as to which parameters are most important. The present intention is to explore the question of whether the proposed models have included the most significant physical processes, as indicated by the ability to replicate the available lasing data using physically reasonable parameter values.

Using the one-dimensional model, 4.7 W laser output was predicted with 40.3% efficiency at 500K and 2.0 mm2 beam area, and 3.1 W with 25.4% efficiency at 500K and 3.0 mm2 beam area. The one-dimensional model was also tested by comparison with the time-resolved data for the laser output (Fig. 3. of [2]). In the experiment, changing the voltage amplitude to 1300 V, pressure to 710 Torr, OC to 60%, and length of electrodes to 2.5 cm, resulted in an averaged output power of 3.4 W. We achieved a simulated result of 3.6 W in good agreement with the experiment for the stated parameters used in our one-dimensional program. It was assumed that the temperature was approximately 500 K and the beam area was 3.0 mm2. Time-resolved absorbed pump power and laser power curves are shown in Fig. 5, along with the temporal behavior of the Ar(1s5) density and intracavity laser power for the mesh elements m = 1, y/2 and y followed over two discharge periods. Figure 5(a) shows that pump intensity has not reached saturation. Here it can be seen that the laser intensity does not follow the temporal profile of the absorbed pump power in the one-dimensional model. Apart from the fast transients in the laser output due to the discharge pulse, evident just above 0 and 5000 ns, the laser output reaches a maximum at about 2200 ns after each pulse. As the Ar 1s5 number density reaches a maximum much earlier in the discharge cycle (around 100 ns) the fact that this does not correspond to the lasing maximum shows that the pump does not have enough intensity to invert the full length of the gain medium when the metastable concentration is at its highest values. In Fig. 5(b) the Ar (1s5) density is lower in the first mesh element, as compared to the densities in elements y/2 and y, due to the more intense optical pumping.

 figure: Fig. 5

Fig. 5 Temporal behavior of (a) absorbed pump power and output laser power (zero and one-dimensional models), (b) Ar(1s5) density in mesh elements m = 1, y/2 and y (one-dimensional model), and (c) intracavity laser power in mesh elements m = 1, y/2 and y (one-dimensional model). The time between successive 80 ns discharge pulses is 5000 ns.

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Another consequence of the low pump intensity is the prediction that the rightward going laser intensities at mesh points y/2 and y are quite similar. This occurs because the pump beam arriving in this region has sufficient intensity to induce transparency but not gain. This is also evident in the comparable values for the leftward intensities at mesh points y/2 and y.

Laser power predictions from the one-dimensional model are lower than the zero-dimensional model for certain situations. Non-uniform distribution of species densities and intracavity powers after pumping process indicates the limitations of stationary solutions in zero-dimensional models for simulation of this experiment. However, as the pump power and discharge pulse duration increase, zero- and one-dimensional models tend to give closer temporal calculation results.

4. Conclusions

Zero- and one-dimensional time-dependent models of OPRGLs are established. Simulation results show quantitative agreement with the data from a previous pulsed-discharge CW laser experiment [2]. Inaccuracies still exist, which can be caused by neglect of non-uniform distributions of Ar(1s5) (in the transverse direction) and gas temperature resulting from the discharge, pump laser power deposition, and poorly defined rate constants for certain reactions. Both of the models presented here can realize temporal simulations of pump and laser powers and species densities, going beyond the limitations of stationary-state solutions. The one-dimensional model removes the approximation of a longitudinally averaged double-pass scheme for dynamic analysis. The level of agreement with the experimental results of [2] indicates that this model can be used to explore the power scaling capabilities of OPRGLs that utilize pulsed discharge Rg metastable production. The present calculations also show that the laser power and efficiency observed in the experiments reported in [2] was limited by the intensity available from the pump laser. Scaling of the model to predict the performance of a kW class laser appears to be feasible and the report of a pulsed Ar laser operating at 27 kW cm−2 [1] implies that high-power CW OPRGL’s can be constructed.

Funding

Army Research Office (W911NF-17-1-042721); Chinese Scholarship Council (CSC) Scholarship; Ministry of Education and Science of the Russian Federation (3.1715.2017/4.6),

Acknowledgments

Mr. Sun is a PhD candidate at Huazhong University of Science and Technology and a visiting student at Emory University.

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Figures (5)

Fig. 1
Fig. 1 Three-level diagram of OPRGL.
Fig. 2
Fig. 2 Equivalent electrical circuit for the pulsed discharge.
Fig. 3
Fig. 3 Schematic diagram showing propagation directions and mesh elements.
Fig. 4
Fig. 4 (a) Averaged Ar(1s5) density before optical excitation, (b) averaged output laser power and (c) conversion efficiency. Temperature: 300K-600K. Beam area: 2-3 mm2 in (b) and (c). (zero-dimensional model)
Fig. 5
Fig. 5 Temporal behavior of (a) absorbed pump power and output laser power (zero and one-dimensional models), (b) Ar(1s5) density in mesh elements m = 1, y/2 and y (one-dimensional model), and (c) intracavity laser power in mesh elements m = 1, y/2 and y (one-dimensional model). The time between successive 80 ns discharge pulses is 5000 ns.

Tables (1)

Tables Icon

Table 1 Arrhenius equations for temperature dependent energy transfer rate constants

Equations (22)

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a A+ b B a 'A+ c C [ + δε ]
d n i d t = j = 1 j max Q i j ( t )
R j = k j [ n A ] a [ n B ] b
Q A j = ( a ' a ) R j , Q B j = b R j , Q C j = c R j
V p c = V 0 e R A g n e v d r V c
R a μ + T e Λ 2
W p u m p = η d ν I p i n ( ν ) l g h ν p { 1 exp [ σ p ( ν ) ( n 3 g 3 g 1 n 1 ) l g ] } { t p + t p 3 r p exp [ σ p ( ν ) ( n 3 g 3 g 1 n 1 ) l g ] }
W l a s e r = σ l ( ν l ) ( n 2 g 2 g 1 n 1 ) h ν l I a v e
d I a v e d t = { t s t l 4 r l exp [ 2 l g σ l ( ν l ) ( n 2 g 2 g 1 n 1 ) ] 1 } I a v e c 2 l c + n 2 c 2 σ l ( ν l ) h ν l S l g
I a b s = η d ν I p i n ( ν ) { 1 t p 2 exp [ σ p ( ν ) ( n 3 g 3 g 1 n 1 ) l g ] }
I o u t = I a v e t l σ l ( ν l ) ( n 2 g 2 g 1 n 1 ) l g ( 1 r l ) exp [ σ l ( ν l ) ( n 2 g 2 g 1 n 1 ) l g ] { exp [ σ l ( ν l ) ( n 2 g 2 g 1 n 1 ) l g ] 1 } { 1 + t l 2 r l exp [ σ l ( ν l ) ( n 2 g 2 g 1 n 1 ) l g ] }
dt = l g y c
W p u m p ( t , m ) = σ p ( ν ) h ν p [ n 3 ( t - dt , m ) g 3 g 1 n 1 ( t - dt , m ) ] { [ I P R ( t - dt , ν , m ) + I P R ( t - dt , ν , m + 1 ) ] 2 + [ I P L ( t - dt , ν , m ) + I P L ( t - dt , ν , m 1 ) ] 2 } d ν
W l a s e r ( t , m ) = σ l ( ν l ) h ν l [ n 2 ( t - dt , m ) g 2 g 1 n 1 ( t - dt , m ) ] { [ I L R ( t - dt , ν , m ) + I L R ( t - dt , ν , m + 1 ) ] 2 + [ I L L ( t - dt , ν , m ) + I L L ( t - dt , ν , m 1 ) ] 2 }
I P R ( t , ν , m ) = { σ P ( ν ) [ n 3 ( t - dt , m 1 ) g 3 g 1 n 1 ( t - dt , m 1 ) ] c dt + 1 } I P R ( t - dt , ν , m 1 )
I L R ( t , m ) = { σ l ( ν l ) [ n 2 ( t - dt , m 1 ) g 2 g 1 n 1 ( t - dt , m 1 ) ] c dt + 1 } I L R ( t - dt , m 1 ) + n 2 ( t - dt , m 1 ) c 2 σ l ( ν l ) h ν l S l g dt
I L L ( t , m ) = { σ l ( ν l ) [ n 2 ( t - dt , m + 1 ) g 2 g 1 n 1 ( t - dt , m + 1 ) ] c dt + 1 } I L L ( t - dt , m + 1 ) + n 2 ( t - dt , m + 1 ) c 2 σ l ( ν l ) h ν l S l g dt
I P R ( t , ν , 1 ) = t p I p i n ( t l c l g 2 c , ν )
I L R ( t , 1 ) = t s t l 2 ( { σ l ( ν l ) [ n 2 ( t - t os , 1 ) g 2 g 1 n 1 ( t - t os , 1 ) ] c dt + 1 } I L L ( t - t os , 1 ) + n 2 ( t - t os , 1 ) c 2 σ l ( ν l ) h ν l S l g dt )
I L L ( t , y ) = r l t l 2 ( { σ l ( ν l ) [ n 2 ( t - t os , y ) g 2 g 1 n 1 ( t - t os , y ) ] c dt + 1 } I L R ( t - t os , y ) + n 2 ( t - t os , y ) c 2 σ l ( ν l ) h ν l S l g dt )
I P a b s ( t ) = ( I p i n ( t l c c , ν ) { σ P ( ν ) [ n 3 ( t ( l c l g ) 2 c dt, y ) g 3 g 1 n 1 ( t l c l g 2 c dt, y ) ] c dt+1 } t p I P R ( t ( l c l g ) 2 c dt, ν , y ) ) d ν
I L o u t ( t ) = ( 1 r l ) t l ( { σ l ( ν l ) [ n 2 ( t ( l c l g ) 2 c dt, y ) g 2 g 1 n 1 ( t ( l c l g ) 2 c dt, y ) ] c dt+1 } I L R ( t ( l c l g ) 2 c dt, y ) + n 2 ( t ( l c l g ) 2 c dt, y ) c 2 σ l ( ν l ) h ν l S l g dt )
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