Simulations of spin/polarization-resolved laser-plasma interactions in the nonlinear QED regime
Abstract
Strong-field quantum electrodynamics (SF-QED) plays a crucial role in ultraintense laser-matter interactions, and demands sophisticated techniques to understand the related physics with new degrees of freedom, including spin angular momentum. To investigate the impact of SF-QED processes, we have introduced spin/polarization-resolved nonlinear Compton scattering, nonlinear Breit-Wheeler and vacuum birefringence processes into our particle-in-cell (PIC) code. In this article, we will provide details of the implementation of these SF-QED modules and share known results that demonstrate exact agreement with existing single particle codes. By coupling normal PIC with spin/polarization-resolved SF-QED processes, we create a new theoretical platform to study strong field physics in currently running or planned petawatt or multi-petawatt laser facilities.
I Introduction
Laser-matter interactions can trigger strong-field quantum-electrodynamics (SF-QED) processes when the laser intensity reaches or exceeds Piazza et al. (2012); Bell and Kirk (2008). For example, when the laser intensity is in the order of -, i.e., the normalized peak laser field strength parameter , electrons can be accelerated to GeV energies Gonsalves et al. (2019); Esarey, Schroeder, and Leemans (2009) (with Lorentz factor or higher) in a centimeter-long gas plasma, where are the charge and mass of the electron, respectively, are the field strength and angular frequency of the laser, respectively, and is the light speed in vacuum (here, for convenience, and the wavelength of the laser are assumed). When the laser is reflected by a plasma mirror and collides with the accelerated electron bunch, the transverse electromagnetic (EM) field in the electron’s instantaneous frame can reach the order of -. Such a field strength is close to the QED critical field strength (Schwinger critical field strength) , i.e., , within one or two orders of magnitude. In this regime, the probabilities of nonlinear QED processes are comparable to those of linear ones, and depend on three parameters as , with , and (here, denote the normalized field strength of electric and magnetic component, respectively) Ritus (1985); Baier, Katkov, and Strakhovenko (1998). For most cases of weak field () condition, , and , i.e., the probability only depends on a single parameter . For electrons/positrons, the nonlinear Compton scattering (NCS, ) is the dominant nonlinear QED process in the strong field regime, and for photons, the nonlinear Breit-Wheeler pair production (NBW, ) is the dominant one, where denote the laser photon and the emitted photon, respectively, and is the photon absorption number.
Apart from these kinetic effects, the spin/polarization effects also arise with the possibility of generating polarized high-energy particle beams or when particles traverse large-scale intense transient fields in laser-plasma interactions. Classically, the spin of a charged particle will precess around the instantaneous magnetic field, i.e. , where denotes the classical spin vector Jackson (2021). In storage rings, due to the radiation reaction, the spin of an electron/positron will flip to the direction parallel/antiparallel to the external magnetic field, i.e., the Sokolov-Ternov effect (an unpolarized electron beam will be polarized to a degree of ) A. A. Sokolov , and a similar process also occurs in the NCS Del Sorbo et al. (2017); Li et al. (2019); King and Tang (2020). Some recent studies have shown that with specific configurations, for example, when elliptically or linearly polarized lasers scatter with high-energy electron bunches (or plasmas), the polarization degree of the electrons can reach and be used to diagnose the transient fields in plasmas Li et al. (2020); Gong, Hatsagortsyan, and Keitel (2021). Meanwhile, the photons created by NCS can be polarized, and when these polarized photons decay into electron/positron pairs, the contribution to the probability from polarization can reach Wan et al. (2020a), and will be inherited by the subsequent QED cascade. For example, in the laser-plasma/beam interactions, the polarization degree for linearly polarized (LP) photons is about or higher and for circular polarized (CP) photons can reach 59% when employing longitudinally polarized primariesXue et al. (2020); King and Tang (2020); Tang, King, and Hu (2020); Song, Wang, and Li (2022).
Analytical solutions in ultraintense laser-matter interactions are scarce due to the high nonlinearity and complexity of the problem. Moreover, the micro-level processes such as ionization, recombination and Coulomb collisions, etc., coupled with the complicated configurations of lasers and plasmas make the explicit derivation almost impossible. Fortunately, computer simulation methods provide alternative and more robust tools to study those unsolvable processes even in more realistic situations Arber et al. (2015). In general, simulation methods for laser-plasma (ionized matter) interactions can be categorized as kinetic or fluid simulations, and specifically kinetic methods include the Fokker-Planck equation (F-P) (or the Vlasov equation for the collisionless case) and the particle-in-cell (PIC) method, and the fluid method mainly uses the magnetohydrodynamic equations (MHD) Birdsall and Langdon (2018). Among these methods, both F-P and MHD discretize the momentum space of particles and are prone to the nonphysical multi-stream instability, which may obscure the real physics, such as the emergence of turbulence, physical instabilities, etc. In comparison, the PIC method can provide much more detailed information on the discrete nature and intrinsic statistical fluctuations of the system, regardless of the stiffness of the problem. Therefore, the PIC method has been widely used in the simulation of ultraintense laser-plasma interactions Arber et al. (2015); Birdsall and Langdon (2018); Gonoskov et al. (2015).
Thanks to the emerging PIC simulation methods, the development of parallelism and large-scale cluster deployment, simulations of laser-plasma wakefield acceleration, laser-ion acceleration, THz radiation and also SF-QED, etc., have become accessible for general laser-plasma scientists Fonseca et al. (2002); Burau et al. (2010); Arber et al. (2015); Derouillat et al. (2018a); Wu et al. (2020). However, the spin and polarization properties of the plasma particles and QED products are not widely introduced to the mainstream due to the lack of appropriate algorithms. In some recent studies, the spin and polarization resolved SF-QED processes have been investigated in the laser-beam colliding configurations and have shown that these processes are prominent in generating polarized beams Wan et al. (2020a); King and Tang (2020); Tang, King, and Hu (2020); Song, Wang, and Li (2022); Li et al. (2019, 2022). And these local-constant-approximated version of these probabilities can be readily introduced into any PIC code.
In this paper, we briefly review the common PIC simulation algorithms and present some recent implementations in spin/polarization averaged/summed QED. The formulas and algorithms for the spin/polarization-dependent SF-QED processes are given in detail and have been coded into our PIC code SLIPs (which stands for “Spin-resolved Laser Interaction with Plasma simulation code”). These formulas and algorithms presented in this paper, especially the polarized version, can be easily adopted by any other PIC code and used to simulate the ultraintense laser-matter interactions that are already available or will be achievable in the near future multi-petawatt (PW) to exawatt (EW) laser facilities Danson et al. (2015), such as Apollo Apo ; Zou et al. (2015), ELI ELI , SULF Gan et al. (2021) and SEL, etc. Throughout the paper, Gaussian units will be adopted, and all quantities are normalized as follows: time with (i.e., ), position with , momentum with , velocity with , energy with , EM field with , force with , charge with , charge density with , current density to , where and are the reference wavelength and frequency, respectively.
II PIC Algorithm
The simulation of laser-plasma interactions requires two essential components: the evolution of the EM field and the motion of particles. The corresponding governing equations are the Maxwell equations (either with - or - formulations) and the Newton-Lorentz equations. Therefore, the fundamentals of PIC codes consist of four kernel parts: force depositing to particles, particle pushing, particles depositing to charge and current densities, and solving Maxwell equations; see Figure. 1. Here, we review each part briefly (these algorithms are used in the SLIPs) and refer to the standard literature or textbooks for more details Arber et al. (2015); Birdsall and Langdon (2018).

II.1 Particle pushing
When radiation reaction is weak (the radiation power is much smaller than the energy gain power), the motion of charged particles is governed by the Newton-Lorentz equation:
(1) | |||||
(2) |
where , , , , , , and are the momentum, position, charge, mass, Lorentz factor, velocity, and normalized velocity of the particle, respectively. These coupled equations are discretized using a leapfrog algorithm as
(3) | |||||
(4) |
and solved using the standard Boris rotation Buneman (1967); Boris and Shanny (1971); Qin et al. (2013):
(5) | |||||
(6) | |||||
(7) | |||||
(8) | |||||
(9) | |||||
(10) |
where . The update in momentum and position are asynchronized by half a time step, i.e., a leapfrog algorithm is used here. This leapfrog algorithm ensures the self-consistency of the momentum and position evolution.
II.2 Field solving
In the ultraintense laser-plasma interactions, the plasma particles are assumed to be distributed in the vacuum and immersed in the EM field. Therefore, the field evolution is governed by the Maxwell equations in vacuum with sources. After normalization, the Maxwell equations in differential form are given by
(11) | |||||
(12) | |||||
(13) | |||||
(14) |
The standard finite-difference method in the time domain for the Maxwell equations is to discretize field variables on the spatial grid and advance forward in time. Here, following the well-known Yee-grid Kane Yee (1966), we put as in Figure. 2 (a), which automatically satisfies the two curl equations. For lower-dimension simulations, extra dimensions are squeezed, as shown in a 2D example in Figure. 2 (b). In the dimension-reduced simulations, field components in the disappeared dimension can be seen as uniform, i.e., the gradient is 0.

By using Esierkepov’s method of current deposition Esirkepov (2001a), the current is calculated from the charge density via charge conservation, i.e., . Once the initial condition obeys Gauss’s law, , Gauss’s law is automatically embedded. This can be verified with a gradient on Eq. (14) , i.e., the temporal variation in the violation of Gauss’s law is 0. Therefore, in the field solver, only the two curl equations are solved. Here, we take the and components as examples:
1D case (squeezing the directions):
(15) |
2D case (squeezing the direction):
(16) |
3D case:
(17) |
where the lower indices with denote the spatial discretization and upper indices with indicate the time discretization. The time indices are assigned using the leapfrog algorithm; see Sec. II.6.
II.3 Current deposition
We calculate the charge current density using Esirkepov’s method, which conserves charge by satisfying the Gauss law Esirkepov (2001b)
(18) |
and removes the need for Coulomb correction Birdsall and Langdon (2018). This algorithm computes the charge density at time step and on each grid cell from the particle positions and velocities, i.e.,
(19) | |||||
(20) | |||||
(21) |
where denotes the particle index, , and is the cell volume. We then interpolate the charge density to the current grid to obtain the current density; see Ref. Esirkepov (2001b) for more details.
II.4 Force deposition
We deposit the updated field variables from the Maxwell solver to the particles for calculating acceleration or further SF-QED processes. The field deposition to the particles follows a similar procedure as the charge density deposition. For each particle at position , we find its nearest grid point and its nearest half grid point , where is the spatial grid size. We then weight the field to the particle by summing over all nontrivial terms of , where is the particle weighting function (see Sec. II.5 for more details) on the grid (half grid) and is the field component of or on the spatial grid with proper staggering according to Figure. 2.
II.5 Particle shape function
The weighting function in the current and force deposition is determined by the form factor (shape factor) of the macro-particle, which is a key concept in modern PIC code algorithms. The form factor gives the macro-particle a finite size (composed of thousands of real particles) and reduces the nonphysical collisions Birdsall and Langdon (2018). Various particle shape function models have been proposed, such as the Nearest Grid Point (NGP) and Cloud-in-Cell (CIC) methods. The NGP and CIC methods use the nearest one and two grid fields as the full contribution, respectively. Higher orders of particle shape function can suppress the unphysical noise and produce smoother results. We use the triangle shape function (triangular shape cloud, TSC) in each dimension Esirkepov (2001b)
(24) |
where , is the particle position, the nearest grid/half grid number and . We obtain higher dimension functions by multiplying 1D shape function in each dimension: and .
II.6 Time ordering

In SLIPs, the simplest forward method is used to discretize all differential equations that are reduced to first order with respect to time Arber et al. (2015). To minimize the errors introduced by the discretization, some variables are updated at integer time steps and others at half-integer time steps. For example, the EM field variables and are updated alternately at integer and half-integer time steps; and the position and momentum of particles are updated alternately as well; see Figure. 3. The leapfrog updating is also applied to the current deposition and field interpolation.
III QED Algorithm
This section presents some SF-QED processes (with unpolarized/polarized version) that are relevant for laser-plasma interactions. The classical and quantum radiation correction to the Newton-Lorentz equations, namely the Laudau-Lifshitz (LL) equation and the modified Landau-Lifshitz (MLL) equation; and their discretized algorithms are reviewed first. The classical and quantum corrected equations of motion (EOM) for the spin, namely the Thomas-Bargmann-Michel-Telegdi (T-BMT) equation and the Radiative T-BMT equation; and their discretized algorithms are reviewed next. NCS with unpolarized and polarized version and their Monte-Carlo (MC) algorithms are reviewed. NBW with unpolarized and polarized version and their MC implementations are presented as well. Finally, the implementations of high-energy bremsstralung and vacuum birefringence in the conditions of weak pair productions () are briefly discussed.
III.1 Radiative particle pusher
Charged particles moving in strong fields can emit either classical fields or quantum photons. This leads to energy/momentum loss and braking of the particles, i.e., radiation reaction. A well-known radiative equation of motion (EOM) for charged particles is the Lorentz-Abraham-Dirac (LAD) equation Dirac (1938). However, this equation suffers from the runaway problem, as the radiation reaction terms involve the derivative of the acceleration. To overcome this issue, several alternative formalisms have been proposed, among which the Landau-Lifshitz (LL) version is widely adopted Landau and Lifshitz (1999). The LL equation can be obtained from the LAD equation by applying iterative and order-reduction procedures Ekman, Heinzl, and Ilderton (2021); Ekman (2022), which are valid when the radiation force is much smaller than the Lorentz force. More importantly, in the limit of , the QED results in the planewave background field are consistent with both the LAD equation and LL equation Ilderton and Torgrimsson (2013); Seipt and Thomas (2023). Depending on the value of the quantum nonlinear parameter (defined in Sec. III.1.1), the particle dynamics can be governed by either the LL equation or its quantum-corrected version Piazza et al. (2012); Landau and Lifshitz (1999); Neitz and Di Piazza (2014); Derouillat et al. (2018a).
III.1.1 Landau-Lifshitz equation
The Landau-Lifshitz equation can be employed when the radiation is relatively weak (weak radiation reaction, ) Landau and Lifshitz (1999):
(25) |
where all quantities are given in Gaussian units, and the dimensionless one is
(26) |
with is the fine structure constant and is the normalized reference photon energy. In the ultra-intense laser interacting with plasmas, the dominant contribution comes from the last two terms Tamburini et al. (2010). In the ultrarelativisitc limits, only the third term dominates the contribution, and the radiation reaction force can be simplified as
(27) |
where is a nonlinear quantum parameter signifies the strength of the NCS, with denote the angle between electron momentum and EM field wavevector, and denotes the perpendicular component of electric field. This reduced form gives the importance of the radiation reaction when one estimates the ratio between and Lorentz force :
(28) |
apparently, once , the radiation reaction force should be considered.
III.1.2 Modified Landau-Lifshitz equation
The LL equation is only applicable when the radiation reaction force is much weaker than the Lorentz force, or, the radiation per laser period is much smaller than Bulanov et al. (2013a). Once is larger than and above, the quantum nature of the radiation dominates the process. On one hand, the radiation spectra will be suppressed and deviate from the radiation force in LL equation; on the other hand, the radiation will be stochastic and discontinuous. However, when the stochasticity is not relevance for the detection and one only cares about the average effect (integrated spectra), a correction to the radiation force can be made, i.e., quantum correction Nikishov and Ritus (1964); Sokolov et al. (2009); Piazza, Hatsagortsyan, and Keitel (2010); Thomas et al. (2012)
(29) |
where
(30) | |||||
(31) | |||||
(32) |
with being the radiation probability Sokolov et al. (2010), , , and the electric fields in the instantaneous frame of the electron. is the four-momentum of the electron before radiation. and are the four-wavevector of local EM field, and the radiated photon, respectively. See in Figure. 4. Here, the ratio between the QED radiation power and the classical one, i.e., the re-scaling factor , is the same with the factor in Ref. Bulanov et al. (2013b):
(33) |
or
(34) |

III.1.3 Algorithms of the Radiative Pusher
Here, we plug the radiative correction (either classical or quantum corrected version) into the standard Boris pusher as follows Tamburini et al. (2010):
(36) |
First we use the Boris step
(37) |
and then use the radiative correction push
(38) |
where , and the final momentum is given by
(39) |
With this algorithm, the Boris pusher is attained.
See a comparison between different solver calculated dynamics in Figure. 5. For the Lorentz equation without radiation, the particle momentum and energy are analytically given by Avetissian (2015)
(40) | |||||
(41) |
where is the external field vector potential, is the proper time, is the normalized wavevector of the field, , and the instantaneous and initial (with notation of ) Lorentz factor and momentum of the particle, respectively. For a planewave with a temporal profile, the momentum and energy gain vanish as . The planewave solution with radiation reaction can be found in Ref. Piazza (2008). However, no explicit solution exists when the quantum correction term is included, as shown in Fig. 5.

III.2 Spin dynamics
The consideration of electron/positron spin becomes crucial in addition to the kinetics when plasma electrons are polarized or when there is an ultrastrong EM field interacting with electron/positron and photons. The significance of this aspect has been highlighted in recent literature, particularly in the context of relativistic charged particles in EM waves and laser-matter interactions Hu and Keitel (1999); Walser et al. (2002). This issue can be addressed either by employing the computational Dirac solver Mocken and Keitel (2008) or by utilizing the Foldy-Wouthuysen transformation and the quantum operator formalism, such as the reduction of the Heisenberg equation to a classical precession equation Bauke et al. (2014); Wen, Keitel, and Bauke (2017). However, these approaches are not directly applicable to many-particle systems. Here and throughout this paper, the spin is defined as a unit vector . In the absence of radiation, the electron/positron spin precesses around the magnetic field in the rest frame and can be described by the classical Thomas-Bargmann-Michel-Telegdi (T-BMT) equation. This equation is equivalent to the quantum-mechanical Heisenberg equation of motion for the spin operator or the polarization vector of the system Bauke et al. (2014); Wen, Keitel, and Bauke (2017); Jackson (2021). When radiation becomes significant, the electron/positron spin also undergoes flipping to quantized axes, typically aligned with the magnetic field in the rest frame. By neglecting stochasticity, this effect can be appropriately accounted for by incorporating the radiative correction to the T-BMT equation, which is analogous to the quantum correction to the Landau-Lifshitz equation.
III.2.1 T-BMT equation
The non-radiative spin dynamics of an electron is given by
(42) |
where and are the normalized electric and magnetic fields, respectively, and is the electron Landé factor, respectively. Since this equation is a pure rotation around the precession frequency of , the Boris rotation is much more preferable than other solver for ordinary differential equations (for instance, the Runge-Kutta, etc.). Here, plays the role of in the Eqs. (3) and (5-10). For other particle species, both the charge, mass and Landé factor for that species should be employed.
III.2.2 Radiative T-BMT equation
When the radiation damping is no longer negligible, the radiation can also affect the spin dynamics. In the weakly radiation regime, this radiation induced modification of the spin dynamics can be handled with a similar way as in the Landau-Lifshitz equation. Here, the modified version of T-BMT equation or the radiative T-BMT equation is thus given by
(43) |
with the first (labeled with “T”) and second (labeled with “R”) terms denote the non-radiative precession in Eq. (42), and radiative correction, respectively. The radiative term is given by
(44) |
where, , = , = -, = , , , and is the th-order modified Bessel function of the second kind, , and denote the normalized velocity and acceleration vector Baĭer (1972); Guo et al. (2020).
III.2.3 Algorithms of simulating the spin precession
The simulation algorithms of spin precession are quite similar to the cases of EOM, i.e., Lorentz equation and radiative EOM, i.e., LL/MLL equations. Therefore, the T-BMT equation is simulated via the Boris rotation without the pre- and post- acceleration term, but with only the rotation term . In SLIPs, a standard Boris algorithm is used
(45) | |||||
(46) | |||||
(47) | |||||
(48) |
For the radiative T-BMT equation, there will be an extra term which is equivalent to the electric field term in the Lorentz equation. Therefore, the straightforward algorithm is given by
(49) |
(50) |

Figure. 6 shows the comparison between the T-BMT and radiative T-BMT equations for different cases: Lorentz equation + BMT equation (“A”), Lorentz equation + M-BMT equation (“B”), LL equation + M-BMT equation (“C”), and MLL equation + M-BMT equation (“D”). The evolution of each spin component depends on different terms. In our setup, the magnetic field is along the direction, so the spin precession occurs in the - plane, affecting and . The radiation reaction mainly affects . In the case without radiation reaction, case “A”, and oscillate due to the precession and are conserved in Fig. 6(d). In the case with only the spin radiation reaction, case “B”, is strongly damped by the term . and oscillate due to the combined effects of precession and radiation reaction, as shown in Figs. 6(a) and (b). When both spin and momentum radiation reactions are included, case “C” (LL equation), the particle’s momentum and energy decrease, i.e., decreases, which lowers the spin radiation reaction term and the damping of and (see Fig. 6(c) for the comparison of “B”, “D” and “C” in terms of amplitude). Simultaneously, the precession term grows with decreasing , which amplifies the oscillation of , as shown by the contrast of “B” (Lorentz), “D” (MLL) and “C” (LL) in Fig. 6(b).
III.3 Nonlinear Compton scattering
When the radiation is strong (), the stochastic nature of the radiation can no longer be neglected in the laser-beam/plasma interactions. And the photon dynamics should be taken into account. In this regime, the full stochastic quantum process is required to describe the strong radiation, i.e., the nonlinear Compton scattering (NCS) Bell and Kirk (2008); Kirk, Bell, and Arka (2009); Ridgers et al. (2014). Therefore, the radiation reaction and photon emission process will be calculated via the MC simulation based on the NCS probabilities. Besides, the spin of electron/positron and polarization of the NCS photons will be also included in the MC simulations.
III.3.1 Spin-resolved/summed nonlinear Compton scattering
When the laser intensity and the electron energy permits the local-constant-cross field approximate (LCFA), i.e., , , the polarization- and spin-resolved emission rate for the NCS is given by Li et al. (2020); Xue et al. (2020); Liu et al. (2022)
(51) |
where, the photon polarization is represented by the Stokes parameters (, , ), defined with respect to the axes and Green and Harvey (2015), with the photon emission direction along the momentum of the ultrarelativistic electron. The variables introduced in Eq. (51) read:
(52) | |||||
(53) | |||||
(54) | |||||
(55) | |||||
where , , , , the emitted photon energy, the electron energy before radiation, the direction of the electron acceleration , and denote the electron spin vectors before and after radiation, respectively, , and .
Summing over the photon polarization, the electron spin-resolved emission probability can be written as Li et al. (2020); Wan et al. (2020b); Xue et al. (2020):
(56) |
Summing over the final states , the initial spin-resolved radiation probability is obtained:
(57) | |||||
And by averaging the electron initial spin, one obtains the widely used radiation probability for the unpolarized initial particles Ritus (1979); Nikishov and Ritus (1964); Ritus (1985).
During the photon emission simulation, electron/positron spin transitions to either a parallel or antiparallel orientation with respect to the spin quantized axis (SQA), depending on the occurrence of emission. Upon photon emission, the SQA is choosen to obtains the maximum transition probabily, which is along the energy-resolved average polarization
(58) |
These are obtained by summing over the photon polarization and keeps the dependence on initial and final spin of electrons:
(59) |
where
Conversely, without emission, the SQA aligns with another SQA Li et al. (2020); Yokoya et al. (2011). In both cases, the final spin is determined by assessing the probability density for alignment, either parallel or antiparallel, with the SQA. We account for the stochastic spin flip during photon emission using four random numbers . The procedure is as follows: First, at each simulation time step , a photon with energy is emitted if the spin-dependent radiation probability in Eq.(57), , meets or exceeds , following the “von Neumann’s rejection method”. The final momentum for the electron and photon is given by and , respectively. Next, the electron spin flips either parallel (spin-up) or antiparallel (spin-down) to the SQA with probabilities of and , respectively, where from Eq. (59). In other words, the final spin will flip parallel to the SQA if , and vice versa; see the flow chart of the NCS in Figure. 7. In the alternative scenario, i.e., no photon is emitted, the average final spin is given by , where, , and Yokoya et al. (2011); Li et al. (2020). Then the SQA is given by , and the probability for the aligned case is given by , and for the anti-parallel case.

Finally, the polarization of the emitted photon is determined by considering that the average polarization is in a mixed state. The basis for the emitted photon is chosen as two orthogonal pure states with the Stokes parameters (, , )/, where . The probabilities for the photon emission in these states are given by Eq. (51). A stochastic procedure is defined using the 4th random number : if , the polarization state will be chosen; otherwise, the polarization state will be assigned as . Here, and .
Between photon emissions, the electron dynamics in the external laser field are described by the Lorentz equations, , and are simulated using the Boris rotation method, as shown in Eqs. (5-10). Due to the small emission angle for an ultrarelativistic electron, the photon is assumed to be emitted along the parental electron velocity, i.e., . Besides, in this simulation, interference effects between emissions in adjacent coherent lengths () are negligible when the employed laser intensity is ultrastrong, i.e., . Therefore, the photon emissions happening in each coherent length are independent of each other.
Examples of the electron dynamics and spin can be seen in Figure.8, apparently, the average value matches the MLL equations for dynamics and MLL + M-BMT equation for spins. Besides, the beam evolution is shown in Figure. 9. The energy spectra of electrons and photons, as well as the photon polarization, can be observed in Figure. 10.


III.3.2 Definition and Transformation of Stokes Parameters
In the context of NCS and the subsequent nonlinear Breit-Wheeler (NBW) pair production, the polarization state of a photon can be characterized by the polarization unit vector , which functions as the spin component of the photon wave function. An arbitrary polarization can be represented as a superposition of two orthogonal basis vectors Berestetskii, Lifshitz, and Pitaevskii (1982):
(60) |
here, denotes the angle between and , while represents the absolute phase. In quantum mechanics, the photon polarization state corresponding to P can be described by the density matrix:
(61) |
where represents the Pauli matrix, and denotes the Stokes parameters, with , , .
The calculation of the probability of pair creation requires the transformation of the Stokes parameters from the initial frame of the photon (, , ) to the frame of pair production (, , ). The vector is given by []/, and the vector is obtained by taking the cross product of and . Here, represents the direction of propagation of the photon, and and denote the electric and magnetic fields, respectively. Two groups of polarization vector are connected via a rotation of angle :
(62) | |||||
(63) |
Thus, the Stokes parameters with respect to the vectors , and are the follows:
(64) |
which is equivalent to a rotation Wistisen and Uggerhøj (2013); Bragin et al. (2017):
(65) |

III.4 Nonlinear Breit-Wheeler pair production
When the energy of a photon exceeds the rest mass of an electron-positron pair, i.e., , and is subjected to an ultraintense field of , the related nonlinear quantum parameter can reach unity. Here, and is approximately equal to in the colliding geometry. In this scenario, the photon can decay into an electron-positron pair through the nonlinear Breit-Wheeler pair production (NBW) process () Bell and Kirk (2008). Refs. Chen et al. (2019); Wan et al. (2020b); Xue et al. (2022); Li et al. (2022); Chen et al. (2022) proposed the spin- and polarization-resolved NBW MC method, and we followed the detailed methods in Ref. Xue et al. (2022).
III.4.1 NBW Probability
The polarization-resolved NBW probability rate with dependence on the positron energy is given by
(66) |
where the polarization-independent term and polarization-related terms are given by
(67) | |||||
(68) | |||||
(69) | |||||
(70) | |||||
where , , , , , is the -order modified Bessel function of the second kind, the fine structure constant, , and the energies of parent photon, created electron and positron, respectively, with the positron velocity , with the positron acceleration in the rest frame of positron, , , and are the Stokes parameters of photon, and () denotes the positron (electron) spin vector. Note that the Stokes parameters must be transformed from the photon initial frame (, , ) to the pair production frame (, , ); see transformations of the Stokes parameters in Sec. III.3.2.
Summing over the electron spin, the pair production depending on the positron spin and the photon polarization is obtained:
(71) |
It can be rewritten as:
(72) |
where
(73) | |||||
(74) | |||||
When a photon decays to pair, the positron spin state is instantaneously collapsed into one of its basis states defined by the instantaneous SQA, along the energy-resolved average polarization .
Similarly, summing over the positron spin, the pair production probability depending on the electron spin and the photon polarization is obtained:
(75) | |||
(76) |
The pair production probability, relying solely on photon polarization, is determined by summing over both positron and electron spins:
(77) |
III.4.2 MC algorithm

The algorithm for simulating pair creation with polarization is illustrated in Figure. 11. At every simulation step , a pair is generated with positron energy when the probability density of pair production is greater than or equal to a random number within the range [0,1). Here, is computed using Equation (77). The momentum of the created positron (electron) is parallel to that of the parent photon, and the energy of the electron is determined as . The final spin states of the electron and positron are determined by the four probability densities , each representing spin parallel or antiparallel to SQA, where is computed from Equation (66). Finally, a random number is used to sample the final spin states for the electron and positron. Note that, here all random numbers are sampled uniformly from as in the NCS algorithm. An example of the production of secondary electrons and positrons resulting from a collision between a laser and an electron beam is illustrated in Figure. 12.

III.5 High-energy bremsstrahlung
The high energy bremsstrahlung is another important emission mechanism, which can also be modeled using a MC collision model Wan et al. (2017). The MC collision model was tested using the Geant4 code Agostinelli and et al. (2003), and the results are presented in the following section. The bremsstrahlung emission is described as described by the cross-section in Ref. Tsai (1974)
(78) | ||||
where is the energy ratio of the emitted photon to the incident electron, is the classical electron radius, functions and depend on the screening potential by atomic electrons, while the Coulomb correction term is denoted by . When the atomic number of the target is greater than , we use Eqs. (3.38-3.41) from Ref. Tsai (1974) to calculate these functions. However, for targets with , the approximated screen functions are unsuitable and require modification.
The PENELOPE code PEN utilizes another method that involves tabulated data from Ref. Seltzer and Berger (1986). This method transforms the “scaled” bremsstrahlung differential cross-section (DCS) to differential cross-section by using the following equation PEN :
(79) |
where is the normalized electron velocity. Integrating this expression over the photon frequencies yields a tabulated total cross-section MC simulation, i.e, the direct sampling method can be used.
The DCS for electron and positron are related by the equation
(80) |
where is an analytical approximation factor that can be found in Ref. PEN . This reference demonstrates a high level of accuracy, with a difference of only approximately compared to Ref. Kim et al. (1986).
The bremsstrahlung implementation is based on a direct MC sampling. Given an incident electron with energy and velocity , the probability of triggering a bremsstrahlung event is calculated as , where , is the incident particle velocity, is the time interval, , represents the target particle density and is the total cross-section, respectively. A random number is then generated and compared to . If , a bremsstrahlung event is triggered. The energy of the resulting photon is determined by generating another random number , which is then multiplied by to obtain the energy ratio through . Finally, a photon with energy and momentum direction is generated. To improve computational efficiency, low energy photons are discarded by setting a minimum energy threshold. This probabilistic approach is similar to the method used to calculate the random free path PEN . The implementation of Bethe-Heitler pair production follows a similar process.
The implementation of Bremsstrahlung emission was tested using the Geant4 software Agostinelli and et al. (2003), which is widely used for modeling high-energy particle scattering with detectors. In this study, we utilized electron bunches of 1 GeV and 100 MeV with primaries to collide with a 5 mm Au target with , and a 5 mm Al target with , . We disabled the field updater and weighting procedure in the PIC code, and only enabled the particle pusher and Bremsstrahlung MC module. The electron and photon spectra were found to be in good agreement with the Geant4 results, except for a slightly higher photon emission in the high energy tail (which is due to the difference in the cross-section data). Figure. 13 displays the spectra of electrons and photons from a 100 electron bunch normally incident onto the aluminum and gold slabs, while similar distributions for a 1 electron bunch are shown in Figure. 14.


III.6 Vacuum birefringence
Another important process for polarized photons in ultraintense laser matter interactions is vacuum birefringence (VB), in addition to the NBW processes. In this paper, we utilize Eq.(4.26) from Ref. Shore (2007) to calculate the refractive index for a photon with arbitrary energy (wavelength ) in a constant weak EM field []. We include the electric field and assume relativistic units . The resulting expression is:
(81) |
where is the fine structure constant, is the electron mass, is the nonlinear quantum parameter as defined before, , is the derivative of the Scorer’s function, and is the th-order modified Bessel function of the second kind [38]. is the transverse reduced field (acceleration field for electrons). The first and second columns correspond to the eigenmodes parallel and perpendicular to the reduced field, respectively. By extracting a factor of
Eq. (81) arrives at
(82) | |||||
(83) |
In the weak field limit of , the imaginary part associated with pair production, is negligible. Now we define
(84) |
The numerical results of and comparisons with the low-energy-limit () constants are given in Figure. 15.

While, in the limit of , the real part simplifies to
(85) |
and can be used to simulate the vacuum birefringence (VB) effect with good accuracy for . Note that these results are identical to those in Refs. Shore (2007); Karbstein (2013); Dinu et al. (2014). For large , two interpolated refractive indexes are used.
The phase retardation between two orthogonal components is given by with denotes the propagation length, and the VB effect is equivalent to a rotation of the Stokes parameters:
(86) |
The VB effect of the probe photons in the Particle-In-Cell code is simulated with the following algorithms Wan et al. (2022):
See an example of VB effect in Figure. 16.

IV Framework of SLIPs
These physical processes have been incorporated into the spin-resolved laser-plasma interaction simulation code, known as SLIPs. The data structure and framework layout are illustrated in Figs. 17 and 18.

As depicted in Figure. 17, SLIPs utilize a toml file to store simulation information, which is then parsed into a SimInfo structure that includes domainInfo, speciesInfo, boundaryInfo, laserInfo, pusherInfo, and other metadata. Subsequently, this metadata is employed to generate a SimBox that comprises all ParticleList and Fields, and define the FieldSolver, EOMSolver and initialize QED processes.
The internal data structure of SLIPs is constructed using the open-source numerical library, Armadillo C++ Sanderson and Curtin (2016, 2018). String expressions are parsed using the Exprtk library exp . The data is then dumped using serial-hdf5 and merged with external Python scripts to remove ghost cells.

The spin-resolved processes, i.e., tagged as Spin-QED in the diagram in Figure. 18, are implemented in conjunction with the Lorentz equation. In the coding, the Spin-QED part is arranged as a sequential series of processes. For example, Lorentz and T-BMT are followed by radiative correction, VB, NBW, and NCS with Bremsstrahlung: .
V Polarized particles simulations
In this section, we present known results that were calculated from the single-particle mode using the SLIPs. The spin-resolved NCS/NBW are evaluated by generating spin-polarized electrons/positrons. The simulation setups used in this study are identical to those described in Refs. Li et al. (2019) and Wan et al. (2020b).
V.1 Polarized electron/positron simulation

To simulate the generation of spin-polarized electrons, we utilized an elliptically polarized laser with an intensity of , a wavelength of , and an ellipticity of . This laser was directed towards an ultrarelativistic electron bunch with an energy of 10 GeV, which was produced through laser-wakefield acceleration. The resulting polarized electrons are depicted in Figure. 19, and shows good agreement with the previously published results in Ref. Li et al. (2022).
V.2 Polarized -photons via NCS
The polarization state of emitted photons can be determined in the spin/polarization-resolved NCS. Here, follow Ref. Li et al. (2022), we utilized a linearly polarized (LP) laser to collide with an unpolarized electron bunch to generate LP -photons. Additionally, we used an LP laser to collide with a longitudinally polarized electron bunch to generate circularly polarized (CP) -photons, which were also observed in a previous study (Ref. Li et al. (2020)). The final polarization states of LP and CP -photons are presented in Figs. 20 and 21, respectively.


V.3 Laser-plasma interactions
Finally, we present a simulation result demonstrating the interaction between an ultra-intense laser with a normalized intensity of and a fully ionized -thick aluminum target. Note, this configuration, previously examined in Ref. Ridgers et al. (2012) with a thickness of , employs a thicker target in the present study to enhance the SF-QED processes. When the laser is directed towards a solid target, the electrons experience acceleration and heating due to the laser and plasma fields. As high-energy electrons travel through the background field, they can emit photons via NCS. The EM field distribution and number density of target electrons, NBW positrons, and NCS photons are shown in Figure. 22, both of which show good consistency with Ref. Ridgers et al. (2012). The laser is linearly polarized along the direction, indicating that the polarization frame is mainly in the - plane with two polarization bases, and , where denotes the momentum direction of the photon. The polarization angle-dependence observed in this study is consistent with prior literature. However, the average linear polarization degree is approximately 60% (), as illustrated in Figs. 23(b) and (d). Notably, low-energy photons contribute primarily to the polarization, as demonstrated in Figs. 23(a) and (c). Additionally, during the subsequent NBW process, the self-generated strong magnetic field couples with the laser field dominate the positrons’ SQA. As a result, the positrons’ polarization is aligned with the direction, contingent on their momentum direction, as shown in Figure. 24. These findings constitute a novel contribution to the investigation of polarization-resolved laser-plasma interactions.



VI Outlook
Computer simulation techniques for laser and plasma interactions are constantly evolving, not only in the accuracy of high-order or explicit/implicit algorithms but also in the complexity of new physics with more degrees of freedom. The rapid development of ultraintense techniques not only provides opportunities for experimental verification of SF-QED processes in the high-energy density regime (which serves as a micro-astrophysics lab) but also presents challenges in theoretical analysis. The introduction of Spin-QED into widely accepted PIC algorithms may address this urgent demand and pave the way for studies in laser-QED physics, laser-nuclear physics (astrophysics), and even physics beyond the standard model.
VII Acknowlegement
The work is supported by the National Natural Science Foundation of China (Grants No. 12275209, 12022506, and U2267204), Open Foundation of Key Laboratory of High Power Laser and Physics, Chinese Academy of Sciences (SGKF202101), the Foundation of Science and Technology on Plasma Physics Laboratory (No. JCKYS2021212008), and the Shaanxi Fundamental Science Research Project for Mathematics and Physics (Grant No. 22JSY014).
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