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Theoretical simulation on exciplex pumped Rb vapor laser

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Abstract

Considering spectrally resolved absorption and temperature distribution, a physical model is established to describe the laser kinetic and thermodynamic processes of an exciplex pumped Rb vapor laser. A comparison with Carroll’s model is made. Influences of pump intensity, temperature, reflectivity of output coupler, and number density of Kr on the performance of CW Rb-Kr XPAL with uniform temperature distribution are calculated and analyzed. Besides, with the heat accumulation considered, the temperature distribution was calculated, and the maximal optical-to-optical efficiency about 5.7% can be achieved at the condition of pump intensity I0 = 5.2 × 1010 W/m2 and flow velocity u = 250 m/s.

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

1. Introduction

The exciplex pumped alkali laser (XPAL) is a new class of laser in which the excited alkali-rare gas molecules quickly dissociate to populate the n2P3/2 state. In XPALs, the blue or red satellites of the atomic transition (n2S1/2 → n2P3/2), created by the naturally occurring alkali-rare collision pairs, broaden the absorption linewidth to about 5 nm, which offers a route to address the issue of lineshape matching [1]. Since it was first proposed in 2008, the XPAL has been realized in Cs-Ar, Cs-Ar-C2H6, Cs-Kr-C2H6, and Rb-Kr-C2H6 systems by Readle’s team [2–4]. The highest slope efficiency of 27% for Cs-Xe at 453 K was recently reported by Mironov et al [5]. Meanwhile, there have been many theoretical works explaining laser kinetics and predicting the potential of high output power of XPALs. The BLAZE-V multi-dimensional model introduced by Palla et al. was applied to the XPAL system, in which simulations and the preliminary results were in good agreement with the Cs-Ar XPAL experiments [6,7]. In Carroll et al’ s and Huang et al’ s works, detailed theoretical models of CW XPALs were used to predict the optical-to-optical efficiency and analyze the laser kinetics [8,9]. A physical model combining the laser kinetics and thermodynamic processes was presented by Xu et al. to calculate and analyze 2-D and 3-D distributions of temperature [10].

In this paper, a physical model is established to describe laser kinetics and thermodynamics in the CW Rb-Kr XPAL system. A set of optimal parameters are obtained for designing an efficient CW Rb-Rr XPAL in further experiments.

2. Description of theory

The schematic diagram of the energy levels and kinetic processes in the Rb-Kr XPAL system is shown in Fig. 1. It invokes four energy states: 52S1/2 (Rb), X2Σ1/2+ (Rb-Kr), B2Σ1/2+ (Rb*-Kr), and 52P3/2 (Rb*). The population densities of these states are denoted by n0, n1, n2, and n3, respectively. E0 and E3, E1 and E2 are the energies corresponding to the lower and upper levels of the laser and pump lights, and gi (i = 0, 1, 2, 3) is the degeneracy of energy levels.

 figure: Fig. 1

Fig. 1 Energy levels and kinetic processes in the Rb-Kr system.

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According to the kinetic processes shown in Fig. 1, the rate equations can be expressed as follows:

dn0dt=kxan0+kxdn1+(n32n0)σ30(Il++Il)hvl+A31n3,
dn1dt=kxdn1+kxan0(n1n2)0σ12(v)Ip(v)hvpdv,
dn2dt=(n1n2)0σ12(v)Ip(v)hvpdvkbdn2+kban3,
dn3dt=kbdn2kban3(n32n0)σ30(Il++Il)hvlA31n3,
nRb=n0+n1+n2+n3,
where kxa, kxd, kba, and kbd represent the association and dissociation rates of Rb-Kr and Rb*-Kr states, respectively. A31 is the spontaneous emission rate determined by the lifetime of Rb* state [11]. Equation (5) means that Rb atoms obeys mass conservation in the whole processes, where nRb is the total number density of Rb atom and it can be derived from an empirical function between saturated vapor pressure and temperature [11]. In addition, based on the assumption of CW operation, the Eqs. (1)-(4) are set to zero.

Furthermore, we suppose that the Rb-Kr pair is generated immediately as alkali atoms collide with rare-gas atoms [4], the association rate kxa, which is proportional to the collision rate, can be determined by

kxa=πυRbKrdRbKr2M,
where dRb-Kr is the interatomic separation [12]. M is the number density of Kr, and υRb-Kr is the average relative velocity between the Rb and Kr atoms.

The dissociation rate of Rb*-Kr molecules in excited state, denoted kbd, can be estimated using [4]

kbd=kxd12exp{[(E1E0)(E3E2)]/kbT},

When there is no pump beam, the value of dissociation rate kxd and association rate of Rb*-Kr molecules kba can be given by [4]

kxd=kxan0n1,
kba=kbdn2n3,

To our knowledge, equilibriums between states of Rb and Rb-Kr, Rb*-Kr and Rb* are thermally maintained so that the relations of population densities can be described by the equilibrium fractions f10 and f23.

f10=n1n0=g1g04πR02ΔRexp(ΔE10kbT)M,
f23=n2n3=g2g34πR02ΔRexp(ΔE23kbT)M,
where ∆E10, ∆E23 are energy differences between the Rb and Rb-Kr states, Rb*-Kr and Rb* states, respectively. R0 is the optimal internuclear separation (4.5 Å for Rb-Kr) for the blue satellite, and ΔR is the range of interatomic distance over which the resonance absorption can take place (1 Å) [12]. The parameters kxa, kxd, kba and kbd, listed in Table 1, was calculated by Eqs. (6)-(11). However, the equilibrium assumption will be false if the rates of pump and production of the Rb-Kr collision pair are in the same order. Hence, the pump intensity Ine required for non-equilibrium can be calculated from the following equation,

Tables Icon

Table 1. Main parameters for the Rb–Kr XPAL system

(n1n2)0σ12(v)Ine(v)hvpdv=kxan0,

After the deep understanding of the rates of the atomic association and molecular dissociation, the propagation of laser in the cell can be analyzed. As shown in Fig. 2, the incident pump lights enter the vapor cell along longitudinal direction, and the initial intensity, considered as Gaussian spectral profile, can be given by

Ip(ν)=I0ln2π2Δνpexp[4ln2(ννp)2Δνp2],
where I0 indicates the intensity at the entrance of cell. νp and Δνp are the central frequency and the FWHM of the pump lights, respectively.

 figure: Fig. 2

Fig. 2 Schematic diagram of the end-pumped Rb-Kr XPAL system

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The pump lights would be absorbed as they travel through the gain medium and absorption cross section can be described as

σp=kabsn0n1M,
where kabs refers the reduced absorption coefficient [13]. The lineshape of blue satellite is supposed as Lorentzian, and then spectrally resolved stimulated absorption cross section can be rewritten as
σ12(ν)=σp(Δνabs/2)2(ννabs)2+(Δνabs/2)2,
where νabs is the central frequency of blue satellite and Δνabs is the FWHM of absorption line.

The stimulated emission cross section σ30 can be calculated by [11,14]

σ30=g3g0λl22π12πt3Δν,
where λl is the wavelength of laser and t3 is the lifetime of Rb* state. ∆ν indicates the spectral bandwidth of lasing, which is mainly caused by the broadening of buffer gas, and corresponding rate has been obtained in Ref. 15 [15].

The spatial propagating intensities of pump light and laser beam along optical axial direction can be expressed as

Ip±(z+Δz,ν)=Ip±(z,ν)exp{[n1(z)n2(z)]σ12(ν)Δz},
Il±(z+Δz)=Il±(z)exp{±[n3(z)2n0(z)]σ30Δz},

The temperature inside the vapor cell is higher than that in the walls due to the heat accumulation caused by the absorbed pump energy. To calculate the temperature distribution, the vapor cell is divided into many coaxial cylindrical annuluses, as shown in Fig. 3.

 figure: Fig. 3

Fig. 3 Lateral view of a vapor cell.

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Each annulus is a non-negligible heat source, and the heat released by energy difference can be calculated by

Ωk,j=[(kxan0(k,j)kxdn1(k,j))ΔE10+(kbdn2(k,j)kban3(k,j))ΔE23]×ΔV,
where ∆V is the volume of cylindrical annulus, which is ΔV=π(rk+12rk2)Δz.

In the longitudinal direction, the heat is carried by the flow from one cylindrical annulus to the next, and it can be given by [16]

Fk,j=uSkn(Tk)NATk,j1Tk,jCP(T)dT,0<z<L,
where Cp (T) is the molar heat capacity of Kr obtained by fitting to existing data in [17], u is flow velocity, n(Tk) is the population density of the total mixed gas, and Sk is the cross-sectional area of the (k, j) th annulus.

In the radial direction, the conducted heat from the (k, j) th cylindrical annulus to the (k + 1, j) th can be calculated by Fourier law:

Φk,j=KKr(2πrkΔz)Tk,jTk-1,jrkrk-1,
where the thermal conductivity KKr = 2.4810 × 10−5T + 0.0017, fitted from the measured data [17].

Equation (22) demonstrates the energy conservation law in every cylindrical annulus, left-hand represents the sum of generated heat Ωk,j in the (k, j)th segment and the conducted heat Φk-1,j from the (k-1, j)th cylindrical annulus to the (k, j) th, and the right-hand side is the sum of the removed heat Fk,j from the (k, j)th cylindrical annulus to the (k, j + 1) th and the conducted heat Φk,j from the (k, j)th cylindrical annulus to the (k + 1, j) th. Therefore, the temperature of the (k + 1, j) th cylindrical annulus can be solved when the Eq. (22) holds.

Ωk,j+Φk-1,j=Fk,j+Φk,j.

3. Results and discussion

Firstly, we need to ensure that the kinetic equilibrium between Rb and Rb-Kr states is valid. Calculating by Eq. (12), the pump intensity required for breaking this equilibrium is approximately 1.9 × 1012 and 2.4 × 1012 W/m2 at temperatures of 475 and 575 K, respectively. In our calculation, the maximum of pump intensity is set to 1 × 1012 W/m2. Therefore, the non-equilibrium effect need not be considered.

3.1 Comparison with Carroll’s model

Carroll et al. have made a preliminary prediction of CW Rb-Kr laser performance. In their model, the population density of alkali atom was assumed to be uniform along the longitudinal, so the average pump intensity was used to represent the true intracavity intensity [8]. In this part, the distribution of population is calculated, and a parameter NON, defined as NON(ni)=max(ni(z))min(ni(z))ni(z)¯ (i = 0, 1, 2, 3, z ∈(0, L)) [18], was introduced to describe the non-uniformity of population. The non-uniformity of four states and the predicted optical-to-optical efficiency as a function of temperature are plotted in Fig. 4. We can see that in the range of 420 K to 500 K, the non-uniformity is tiny, and the efficiencies of these two models predicted are similar. As the temperature increases, the efficiency has a small difference because the effect of non-uniformity of population density is more pronounced.

 figure: Fig. 4

Fig. 4 The non-uniformity of four energy states (a) and simulated optical-to-optical efficiency (b) versus cell temperature at a pump intensity of 1 × 1011 W/m2.

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3.2 Influences of parameters with uniform temperature distribution

The pump intensity, temperature, reflectivity of output coupler (Roc), number density of Kr, and heat accumulation, all seem to impact on the performance of CW laser system. We give some calculations to further describe the characteristics of Rb-Kr XPAL. Figure 5(a) shows the optical-to-optical efficiency of end-pumped Rb-Kr XPAL as a function of pump intensity at different temperatures, where the reflectivity of output coupler is 0.25 and the length of cell is 0.1 m. The optical-to-optical efficiency of about 41% can be achieved at temperature of 575K when the pump intensity reaches to 2 × 1011 W/m2. At higher temperature, the optical-to-optical efficiency changes faster with pump intensity increasing due to the intense absorption of pump light. Noted that there is an optimal pump intensity due to the saturation of pump transition, the dependences of optimum pump intensity and its efficiency on temperature are plotted in Fig. 5(b). Apparently, high optimal pump intensity is needed for high temperature, and the value increases rapidly when temperature is over 560 K. This occurs because the population density restricted by temperature is quickly increasing and the reduction of pump intensity along the longitudinal direction becomes more significant. The high temperature case exceeding 600 K is not considered because higher temperature and pump intensity will lead to harmful thermal effects in the laser vapor cell.

 figure: Fig. 5

Fig. 5 Dependences of performances with some factors in Rb-Kr XPAL systems. Figure 5(a) shows the optical-to-optical efficiency versus pump intensity at different cell temperatures. Figure 5(b) shows optimal pump intensity and maximum optical-to-optical efficiency versus temperature.

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The influences of reflectivity of output coupler on optical-to-optical efficiency with pump intensity of 4 × 1010 W/m2 at 475 K, 6 × 1010 W/m2 at 525 K, and 2 × 1011 W/m2 at 575 K are plotted in Fig. 6. It shows that the optical-to-optical efficiency increases with the decrease of Roc, and a better performance can be achieved if lower reflectivity of output coupler is used.

 figure: Fig. 6

Fig. 6 Optical-to-optical efficiency versus the reflectivity of output coupler.

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To analyze the influence of Kr number density, we enhanced the pressure of Kr to 5 atm. Figure 7 shows the dependence of optical-to-optical efficiency and absorption efficiency on Kr gas number density, where the reflectivity of output coupler is 0.25. We can see that both of efficiency increase with increasing number density of Kr, and then gradually keep stable at maximum. To reach the maximal optical-to-optical efficiency, higher number density of Kr is needed for low temperature case.

 figure: Fig. 7

Fig. 7 Dependences of the optical-to-optical efficiency and absorption efficiency on the number density of Kr at temperature of 475 K, 525 K, and 575 K.

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3.3 Influence of gas flow velocity

Finally, the effect of heat accumulation generated by energy differences is analyzed, and the fluid system, as an option to cool the vapor cell, is introduced. Figure 8(a) shows dependences of optical-to-optical efficiency on the pump intensity with different flow velocities of 50, 100, 150, 200, and 250 m/s, where the reflectivity of output coupler is 0.25, the temperature of cell walls is 525K, and the Kr concentration is 2.50 × 1025 m−3. We can see that the optimal optical-to-optical efficiency increases with raising flow velocity effectively, however, the value is very low comparing with Fig. 5(a) at uniform temperature distribution. The reason is that portion of the absorbed pump energy will be converted to heat and lead to the increase of temperature. The temperature gradient inside the cell results in inhomogeneous of population density and lower absorption efficiency (Fig. 8(b)). The longitudinal and radial temperature distribution of the vapor cell with pump intensity I0 = 6 × 1010 W/m2 was plotted in Figs. 8 (c) and 8(d). When the flow velocity increases from 50 m/s to 250 m/s, the heat effect is effective reduced and the temperature distribution in vapor cell is improved. The maximal optical-to-optical efficiency is 5.7% at the condition of I0 = 5.2 × 1010 W/m2 and u = 250 m/s.

 figure: Fig. 8

Fig. 8 The influence of flow velocity on Rb-Kr performances. Figures 8(a) and 8(b) show predicted optical-to-optical efficiency and absorption efficiency versus pump intensity with difference flow velocities. Figures 8(c) and 8(d) draw the longitudinal and radial temperature distributions with pump intensity I0 = 6 × 1010 W/m2.

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4. Conclusion

In this paper, a physical model for a CW end-pumped Rb-Kr XPAL was established and the effects of pump intensity, temperature, reflectivity of output coupler, number density of Kr, and heat accumulation were calculated and analyzed. Results show that high optimal pump intensity is required for high operating temperature, and low reflectivity of output coupler and high Kr number density can promote optical-to-optical efficiency. With the heat accumulation considered, the Rb-Kr XPAL has poor performances. When the flow velocity is increased to 250m/s, the maximal optical-to-optical efficiency of 5.7% is attained at the condition of pump intensity I0 = 5.2 × 1010 W/m2 and T = 525 K. Our calculation also demonstrates that fast gas flowing method for the CW Rb-Kr XPAL should be introduced to effectively reduce the thermal effect due to the high pump intensity. Thus, our model provides a theorical way to design an efficient Rb-Kr XPAL system in experiment.

Funding

Aerospace Science and Technology Found (Grant No. KM20170269).

References

1. J. D. Readle, C. J. Wagner, J. T. Verdeyen, T. M. Spinka, D. L. Carroll, and J. G. Eden, “Excimer-pumped alkali vapor lasers: A new class of photoassociation lasers,” Proc. SPIE 7581, 75810K (2010). [CrossRef]  

2. J. D. Readle, C. J. Wagner, J. T. Verdeyen, D. L. Carroll, and J. G. Eden, “Lasing in Cs at 894.3 nm pumped by the dissociation of CsAr excimers,” Electron. Lett. 44(25), 1466–1467 (2008). [CrossRef]  

3. J. D. Readle, J. T. Verdeyen, J. G. Eden, S. J. Davis, K. L. Gabally-Kinney, W. T. Rawlins, and W. J. Kessler, “Cs 894.3 nm laser pumped by photoassociation of Cs-Kr pairs: excitation of the Cs D(2) blue and red satellites,” Opt. Lett. 34(23), 3638–3640 (2009). [CrossRef]   [PubMed]  

4. J. D. Readle, “Atomic alkali lasers pumped by the dissociation of photoexcited alkali-rare gas collision pairs,” University of Illinois at Urbana-Champaign, 2010.

5. A. E. Mironov, D. L. Carroll, J. W. Zimmerman, and J. G. Eden, “Cs D2 line laser (852.1 nm) pumped by the photoassociation of Cs-Ar, Cs-Kr, and Cs-Xe collision pairs: Impact of rare gas partner on threshold and efficiency,” Appl. Phys. Lett. 113(5), 051105 (2018). [CrossRef]  

6. A. D. Palla, D. L. Carroll, J. T. Verdeyen, J. D. Readle, T. M. Spinka, C. J. Wagner, J. G. Eden, and M. C. Heaven, “Multi-dimensional modeling of the XPAL system,” Proc. SPIE 7581, 75810L (2010). [CrossRef]  

7. A. D. Palla, D. L. Carroll, J. T. Verdeyen, and M. C. Heaven, “XPAL modeling and theory,” Proc. SPIE 7915, 79150B (2011). [CrossRef]  

8. D. L. Carroll and J. T. Verdeyen, “A simple equilibrium theoretical model and predictions for a continuous wave exciplex pumped alkali laser,” J. Phys. At. Mol. Opt. Phys. 46(2), 025402 (2013). [CrossRef]  

9. W. Huang, R. Tan, Z. Li, and X. Lu, “Theoretical model and simulations for a cw exciplex pumped alkali laser,” Opt. Express 23(25), 31698–31715 (2015). [CrossRef]   [PubMed]  

10. X. Xu, B. Shen, C. Xia, and B. Pan, “Modeling of Kinetic and Thermodynamic Processes in a Flowing Exciplex Pumped Alkali Vapor Laser,” IEEE J. Quantum Electron. 53(2), 1–7 (2017). [CrossRef]  

11. D. A. Steck, “Rubidium 85 D Line Data,” Available: http://steck.us/alkalidata.

12. M. C. Heaven and A. V. Stolyarov, “Potential energy curves for alkali metal - Rare gas exciplex lasers,” Proc. 41st AIAA Conf. on Plasmadynamics and Lasers (Chicago, IL, June) AIAA Paper 2010–4877. [CrossRef]  

13. S. J. Davis, W. T. Rawlins, K. L. Galbally-Kinney, and W. J. Kessler, “Spectroscopic and kinetic measurements of alkali atom-rare gas excimers,” Proc. 41st AIAA Conf. on Plasmadynamics and Lasers (Chicago, IL, June) AIAA Paper 2010–5044.

14. R. J. Beach, W. F. Krupke, V. K. Kanz, S. A. Payne, M. A. Dubinskii, and L. D. Merkle, “End-pumped continuous-wave alkali vapor lasers: experiment, model, and power scaling,” J. Opt. Soc. Am. B 21(12), 2151–2163 (2004). [CrossRef]  

15. G. A. Pitz, G. D. Hager, T. B. Tafoya, J. W. Young, G. P. Perram, and D. A. Hostutler, “An experimental high pressure line shape study of the rubidium D1 and D2 transitions with the noble gases, methane, and ethane,” Proc. SPIE 8962, 896208 (2014). [CrossRef]  

16. B. Shen, B. Pan, J. Jiao, and C. Xia, “Kinetic and fluid dynamic modeling, numerical approaches of flowing-gas diode-pumped alkali vapor amplifiers,” Opt. Express 23(15), 19500–19511 (2015). [CrossRef]   [PubMed]  

17. E. W. Lemmon, M. O. McLinden, and D. G. Friend, Thermophysical properties of fluid systems (NIST Chemistry Webbook, NIST Standard Reference Database, 2005), Available: http://webbook.nist.gov/chemistry/fluid.

18. Z. Yang, H. Wang, Q. Lu, L. Liu, Y. Li, W. Hua, X. Xu, and J. Chen, “Theoretical model and novel numerical approach of a broadband optically pumped three-level alkali vapour laser,” J. Phys. At. Mol. Opt. Phys. 44(8), 085401 (2011). [CrossRef]  

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Figures (8)

Fig. 1
Fig. 1 Energy levels and kinetic processes in the Rb-Kr system.
Fig. 2
Fig. 2 Schematic diagram of the end-pumped Rb-Kr XPAL system
Fig. 3
Fig. 3 Lateral view of a vapor cell.
Fig. 4
Fig. 4 The non-uniformity of four energy states (a) and simulated optical-to-optical efficiency (b) versus cell temperature at a pump intensity of 1 × 1011 W/m2.
Fig. 5
Fig. 5 Dependences of performances with some factors in Rb-Kr XPAL systems. Figure 5(a) shows the optical-to-optical efficiency versus pump intensity at different cell temperatures. Figure 5(b) shows optimal pump intensity and maximum optical-to-optical efficiency versus temperature.
Fig. 6
Fig. 6 Optical-to-optical efficiency versus the reflectivity of output coupler.
Fig. 7
Fig. 7 Dependences of the optical-to-optical efficiency and absorption efficiency on the number density of Kr at temperature of 475 K, 525 K, and 575 K.
Fig. 8
Fig. 8 The influence of flow velocity on Rb-Kr performances. Figures 8(a) and 8(b) show predicted optical-to-optical efficiency and absorption efficiency versus pump intensity with difference flow velocities. Figures 8(c) and 8(d) draw the longitudinal and radial temperature distributions with pump intensity I0 = 6 × 1010 W/m2.

Tables (1)

Tables Icon

Table 1 Main parameters for the Rb–Kr XPAL system

Equations (22)

Equations on this page are rendered with MathJax. Learn more.

d n 0 dt = k xa n 0 + k xd n 1 +( n 3 2 n 0 ) σ 30 ( I l + + I l ) h v l + A 31 n 3 ,
d n 1 dt = k xd n 1 + k xa n 0 ( n 1 n 2 ) 0 σ 12 (v) I p (v) h v p dv,
d n 2 dt =( n 1 n 2 ) 0 σ 12 (v) I p (v) h v p dv k bd n 2 + k ba n 3 ,
d n 3 dt = k bd n 2 k ba n 3 ( n 3 2 n 0 ) σ 30 ( I l + + I l ) h v l A 31 n 3 ,
n Rb = n 0 + n 1 + n 2 + n 3 ,
k xa =π υ RbKr d RbKr 2 M,
k bd = k xd 1 2 exp{ [ ( E 1 E 0 )( E 3 E 2 ) ]/ k b T },
k xd = k xa n 0 n 1 ,
k ba = k bd n 2 n 3 ,
f 10 = n 1 n 0 = g 1 g 0 4π R 0 2 ΔRexp( Δ E 10 k b T )M,
f 23 = n 2 n 3 = g 2 g 3 4π R 0 2 ΔRexp( Δ E 23 k b T )M,
( n 1 n 2 ) 0 σ 12 (v) I ne (v) h v p dv= k xa n 0 ,
I p (ν)= I 0 ln2 π 2 Δ ν p exp[ 4ln2 (ν ν p ) 2 Δ ν p 2 ],
σ p =k abs n 0 n 1 M,
σ 12 (ν)= σ p (Δ ν abs /2) 2 (ν ν abs ) 2 + (Δ ν abs /2) 2 ,
σ 30 = g 3 g 0 λ l 2 2π 1 2π t 3 Δν ,
I p ± (z+Δz,ν)= I p ± (z,ν)exp{ [ n 1 (z) n 2 (z)] σ 12 (ν)Δz },
I l ± (z+Δz)= I l ± (z)exp{ ±[ n 3 (z)2 n 0 (z)] σ 30 Δz },
Ω k,j =[ ( k xa n 0 (k,j) k xd n 1 (k,j))Δ E 10 +( k bd n 2 (k,j) k ba n 3 (k,j))Δ E 23 ]×ΔV,
F k,j =u S k n( T k ) N A T k,j1 T k,j C P (T)dT,0<z<L ,
Φ k,j = K Kr (2π r k Δz) T k,j T k-1,j r k r k-1 ,
Ω k,j + Φ k-1,j = F k,j + Φ k,j .
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