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Semi-analytical approach to Ly$α$ multiple-scattering in 21-cm signal simulations

Jordan Flitter, Julian B. Muñoz, Andrei Mesinger

TL;DR

This work provides a fast, semi-analytical treatment of Lyα multiple scattering in cosmic dawn 21-cm signal simulations. By deriving an analytic MS window function from beta-distributed radial distance distributions—characterized by a single parameter $x_{ m em}$—the authors embed MS effects into 21cmFAST via SPαRTA, a gridless Monte Carlo tool that includes peculiar velocities, finite temperature, anisotropic scattering, and recoil. They demonstrate that MS enhances Lyα flux fluctuations and can boost the 21-cm power spectrum by about 50% at high redshift before strong Lyα coupling, but has negligible impact on Lyα heating and overall heating in realistic X-ray scenarios. The framework connects MS physics to observable 21-cm statistics, offering a practically efficient avenue for parameter studies during cosmic dawn.

Abstract

A crucial physical quantity in determining the 21-cm signal during cosmic dawn is the inhomogeneous background of Ly$α$ photons originating from the first galaxies. As these photons travel through the intergalactic medium, their scattering cross-section is often approximated as a delta function at resonance due to computational cost. That is, photons with emitted wavelengths between Ly$α$ and Ly$β$ are assumed to travel in straight lines until they redshift into the Ly$α$ resonance. However, due to the damping wing in the Ly$α$ cross-section, this approximation fails as the frequency of the photon approaches the resonant frequency, resulting in multiple scatterings events that could be separated by non-negligible distances. Some previous works studied this effect of Ly$α$ multiple scattering by running computationally heavy radiative-transfer simulations. However, robustly interpreting the cosmic 21cm signal requires exploring a large parameter space of astrophysical uncertainties, motivating more computationally-efficient approaches. Here we incorporate Ly$α$ multiple scatterings in the public, semi-numerical simulation 21cmFAST. We employ Monte Carlo simulations to study the trajectories of Ly$α$ photons on different scales. We find that the distance distributions of Ly$α$ photons with respect to the absorption point can be modeled as analytical functions that are governed by a single parameter. Upon implementing the distance distributions in 21cmFAST, we find that the multiple scattering effect is important (about 50% difference in the 21-cm power spectrum) only at high redshifts before the spin temperature is fully coupled to the kinetic temperature. Furthermore, we find that Ly$α$ multiple scattering does not enhance Ly$α$ heating, and that the combined effect is negligible, especially under realistic X-ray heating scenarios.

Semi-analytical approach to Ly$α$ multiple-scattering in 21-cm signal simulations

TL;DR

This work provides a fast, semi-analytical treatment of Lyα multiple scattering in cosmic dawn 21-cm signal simulations. By deriving an analytic MS window function from beta-distributed radial distance distributions—characterized by a single parameter —the authors embed MS effects into 21cmFAST via SPαRTA, a gridless Monte Carlo tool that includes peculiar velocities, finite temperature, anisotropic scattering, and recoil. They demonstrate that MS enhances Lyα flux fluctuations and can boost the 21-cm power spectrum by about 50% at high redshift before strong Lyα coupling, but has negligible impact on Lyα heating and overall heating in realistic X-ray scenarios. The framework connects MS physics to observable 21-cm statistics, offering a practically efficient avenue for parameter studies during cosmic dawn.

Abstract

A crucial physical quantity in determining the 21-cm signal during cosmic dawn is the inhomogeneous background of Ly photons originating from the first galaxies. As these photons travel through the intergalactic medium, their scattering cross-section is often approximated as a delta function at resonance due to computational cost. That is, photons with emitted wavelengths between Ly and Ly are assumed to travel in straight lines until they redshift into the Ly resonance. However, due to the damping wing in the Ly cross-section, this approximation fails as the frequency of the photon approaches the resonant frequency, resulting in multiple scatterings events that could be separated by non-negligible distances. Some previous works studied this effect of Ly multiple scattering by running computationally heavy radiative-transfer simulations. However, robustly interpreting the cosmic 21cm signal requires exploring a large parameter space of astrophysical uncertainties, motivating more computationally-efficient approaches. Here we incorporate Ly multiple scatterings in the public, semi-numerical simulation 21cmFAST. We employ Monte Carlo simulations to study the trajectories of Ly photons on different scales. We find that the distance distributions of Ly photons with respect to the absorption point can be modeled as analytical functions that are governed by a single parameter. Upon implementing the distance distributions in 21cmFAST, we find that the multiple scattering effect is important (about 50% difference in the 21-cm power spectrum) only at high redshifts before the spin temperature is fully coupled to the kinetic temperature. Furthermore, we find that Ly multiple scattering does not enhance Ly heating, and that the combined effect is negligible, especially under realistic X-ray heating scenarios.
Paper Structure (21 sections, 59 equations, 10 figures, 1 table)

This paper contains 21 sections, 59 equations, 10 figures, 1 table.

Figures (10)

  • Figure 3: Radial distributions $f_\mathrm{MS}\left(y;z_\mathrm{abs}\right)$ of the normalized distance variable, $y\equiv r/R_\mathrm{SL}$, for different values of $x_\mathrm{em}\equiv R_\mathrm{SL}\left(z_\mathrm{abs},z_\mathrm{em}\right)/R_*\left(z_\mathrm{abs}\right)$ (for better interpretation of that quantity, we report also the corresponding $\Delta z = z_\mathrm{em}-z_\mathrm{abs}$). All curves shown here were obtained by fitting the numerical distributions from SP$\alpha$RTA to a beta function. Solid (dashed) curves correspond to having turned on (off) all the physical features listed in Sec. \ref{['sec: SPaRTA']}. All distributions correspond to $z_\mathrm{abs}=10$, $T_k=10^4\,\mathrm{K}$ and $x_\mathrm{HI}=1$.
  • Figure 4: Left panel: distribution of the relative peculiar velocity between the absorber at $z_\mathrm{abs}=10$ and the emitter (whose redshift is implied by the $x_\mathrm{em}$ value), as extracted from the SP$\alpha$RTA simulation. All curves are cut at the highest and lowest values obtained in the simulation. We also show, by the dashed black curve, the Gaussian distribution that corresponds to $|\mathbf v|/c$ at $z=0$ (computed in Newtonian gauge), smoothed on a scale of $10\,\mathrm{Mpc}$ (this curve is much wider than all other curves since the 3D velocity field can get much higher values compared to the 1D relative velocity field). Right panel: the apparent Voigt cross-section $\sigma_\alpha\left(\nu,T_k\right)$ (Eq. \ref{['eq: 14']}) as modified by relative peculiar velocities due to Doppler shift. In all curves (except the black curve) $T_k=10^4\,\mathrm{K}$. The black curve corresponds to $T_k=0$ and zero relative peculiar velocity. The vertical dotted line corresponds to the mean initial frequency in the SP$\alpha$RTA simulation (c.f. right panel of Fig. \ref{['fig: 2']}).
  • Figure 5: Similarly as Fig. \ref{['fig: 3']}, but here solid curves correspond to accounting for correlations in the peculiar velocity field, while the dashed curves correspond to zeroing the Pearson correlation coefficient $\rho$ (see exact definition at Appendix \ref{['sec: Conditional Gaussian random variables']}), meaning that all velocity samples in the simulation are completely uncorrelated.
  • Figure 6: Similarly as Fig. \ref{['fig: 3']}, but here solid, dashed and dotted curves correspond to $z_\mathrm{abs}=10$, $z_\mathrm{abs}=20$ and $z_\mathrm{abs}=30$, respectively. Some high $x_\mathrm{em}$ values are not presented for some of the curves, as these $x_\mathrm{em}$ values correspond to scales where the apparent frequency of the photon is higher than Ly$\beta$ (since $x_\mathrm{em}\equiv R_\mathrm{SL}/R_*\left(z_\mathrm{abs}\right)$ and $R_*\left(z_\mathrm{abs}\right)\propto1+z_\mathrm{abs}$, $R_\mathrm{SL}$ ought to be increased if $z_\mathrm{abs}$ is increased while $x_\mathrm{em}$ is fixed, and this consequently increases the frequency of the photon at $z_\mathrm{em}$).
  • Figure 7: The MS window function, as given by Eq. \ref{['eq: 32']} and the fit of Eqs. \ref{['eq: 28']}-\ref{['eq: 30']}, for different $x_\mathrm{em}$ values. For comparison, we show the SL window function, Eq. \ref{['eq: 13']}, by the black dashed curve. For better visualization, the inset shows how the window functions behave at high $kR$ values.
  • ...and 5 more figures