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Flavor conversions with energy-dependent neutrino emission and absorption

Chinami Kato Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba 278-8510, Japan [email protected]    Hiroki Nagakura National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan    Masamichi Zaizen Faculty of Science and Engineering, Waseda University, Tokyo 169-8555, Japan
Abstract

Fast neutrino flavor conversions (FFCs) and collisional flavor instabilities (CFIs) potentially affect the dynamics of core-collapse supernovae (CCSNe) and binary neutron star mergers (BNSMs). Under the assumption of homogeneous neutrinos, we investigate effects of neutrino emission and absorption (EA) by matters through both single and multi-energy numerical simulations with physically motivated setup. In our models, FFCs dominate over CFIs in the early phase, while EA secularly and significantly give impacts on flavor conversions. They facilitate angular swaps, or the full exchange between electron neutrinos (νe\nu_{e}) and heavy-leptonic neutrinos (νx\nu_{x}). As a result, the number density of νx\nu_{x} becomes more abundant than the case without EA, despite the fact that the isotropization by EA terminates the FFCs earlier. In the later phase, the system approaches new asymptotic states characterized by EA and CFIs, in which rich energy-dependent structures also emerge. Multi-energy effects sustain FFCs and the time evolution of the flavor conversion becomes energy dependent, which are essentially in line with effects of the isoenergetic scattering studied in our previous paper. We also find that νx\nu_{x} in the high-energy region convert into νe\nu_{e} via flavor conversions and then they are absorbed through charged current reactions, exhibiting the possibility of new path of heating matters.

preprint: APS/123-QED

I Introduction

Decades of theoretical research on core-collapse supernovae (CCSNe) and binary neutron star mergers (BNSMs) have shown that neutrinos play important roles in the dynamics of these explosive transient events. The influence of neutrino physics in these phenomena has been much discussed. One of the quantum kinetic features receiving increased attention throughout the community is collective neutrino oscillations, which are neutrino flavor conversions induced by neutrino self-interactions [1, 2, 3, 4]. Fast neutrino flavor conversions (FFCs) [4] and collisional flavor instabilities (CFIs) [5] potentially affect the dynamics. The sensitivity of CCSN and BNSM dynamics to these flavor conversions have been recently discussed [6, 7, 8, 9, 10], although there is very little known about their nonlinear properties.

FFC can occur independently of vacuum oscillations and its dynamics is essentially energy-independent. It has been found that electron neutrino lepton number crossings (ELN crossings) in angular distributions are a necessary and sufficient condition for FFCs [11, 12]. The associated criterion, namely ELN-XLN crossing, also offers to determine asymptotic states of FFCs in nonlinear regime [13, 14], where XLN denotes a heavy-leptonic neutrino lepton number. Recent studies have found that the ELN crossings are ubiquitous in CCSNe [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] and BNSMs [32, 33, 34, 35, 6, 36, 7, 37]. This suggests that we need to accommodate FFCs in the theoretical modeling of CCSNe and BNSMs.

Nonlinear dynamics of FFCs have been simulated by solving the neutrino quantum kinetic equation (QKE) [38, 39, 7, 37, 40, 41, 42, 43, 44, 45, 46, 47]. Under the assumption of homogeneous neutrinos, the dynamics can be described in analogy with pendulum motions [48, 49]. Although the pendulum analogy offers deeper insights of FFCs, this toy model can not be applied in the case with neutrino-matter collisions [50, 51]; indeed, the FFC dynamics becomes qualitatively different [52, 53, 54, 55, 50, 56, 57, 58]. Recent studies also performed large-scale simulations of FFCs with collisions at various levels of approximations [59, 60, 13, 61, 8, 9]. We refer readers to [62, 63, 64] for recent reviews.

As mentioned above, matter collisions potentially have a significant impact on the dynamics of flavor conversions. CFI, which is a flavor conversion induced by matter collisions, has recently attracted much attention [5]. One of the necessary conditions for CFIs is the difference of reaction rates between neutrinos and antineutrinos [65]. A notable feature of CFIs is that flavor conversions occur even for isotropic neutrino distributions [5]. Some recent studies suggested that CFIs can ubiquitously occur in CCSN [8] and BNSM [65] environments. It is also noteworthy that the growth rate of CFIs has a resonant structure, if the number density of electron neutrinos (νe\nu_{e}) and their antipartners (ν¯e\bar{\nu}_{e}) is nearly equal to each other [65, 66]. If FFCs are parasitically induced by CFIs, the flavor conversions may be further accelerated [67].

One thing we do notice is that the nonlinear interplay between flavor conversions and matter collisions remains an open question, even in the case with homogeneous neutrino assumption. As for FFCs, the coupling with isoenergetic scattering such as nucleon scattering has been studied [55, 56, 57, 50], whereas the impact of emission and absorption on flavor conversions has not yet been investigated in detail. It should also be mentioned that, although the interplay between CFIs and emission/absorption has been already investigated [5, 67, 65, 68, 66], there are little studies on the cases with anisotropic distributions or non-monochromatic neutrinos [67, 65]. The better understanding of roles of emission/absorption on these flavor conversions can contribute valuable information to interpret results obtained from more self-consistent and global simulations of FFCs and CFIs [9, 8], and it may also offer new quantum kinetic features of neutrinos.

In this paper, we perform single and multi-energy dynamical simulations of flavor evolution with neutrino emission and absorption. Neutrinos are assumed to be homogeneous space and axial-symmetric (but anisotropic) in momentum space. It is also assumed that the system consists of two-neutrino flavor. In this study, we pay particular attention to the energy- and angular-dependent features of flavor conversions. One of the intriguing features found in this study is that the so-called angular swap, that corresponds to the full exchange between νe\nu_{e} and heavy-leptonic neutrinos (νx\nu_{x}) at a certain angular region, is facilitated by emission and absorption. We will discuss the possible generation mechanism.

This paper is organized as follows. We start with the numerical setup for dynamical simulations of flavor conversions in Section II. We then move on to investigate effects of neutrino emission and absorption on flavor conversions with the energy-independent reaction rates from various perspectives in Section III. In Section IV, we extend the study to the case of energy-dependent emission and absorption. Finally, we summarize our key findings and conclusions in Section V.

II Numerical setup

Time evolution of neutrinos in phase space follows the quantum kinetic equations (QKEs) [2, 69],

i(t+v)ρ(x,p,t)\displaystyle i\left(\frac{\partial}{\partial t}+\vec{v}\cdot\nabla\right)\rho(\vec{x},\vec{p},t) =\displaystyle= [,ρ(x,p,t)]+i𝒞[ρ],\displaystyle\left[\mathcal{H},\rho(\vec{x},\vec{p},t)\right]+i\mathcal{C[\rho]}, (1)
i(t+v)ρ¯(x,p,t)\displaystyle i\left(\frac{\partial}{\partial t}+\vec{v}\cdot\nabla\right)\bar{\rho}(\vec{x},\vec{p},t) =\displaystyle= [¯,ρ¯(x,p,t)]+i𝒞¯[ρ¯].\displaystyle\left[\bar{\mathcal{H}},\bar{\rho}(\vec{x},\vec{p},t)\right]+i\mathcal{\bar{C}[\bar{\rho}]}. (2)

In these expressions, ρ\rho is the density matrix for neutrinos; \mathcal{H} is the Hamiltonian potential; CC is the collision term. The bar description indicates the quantities for antineutrinos hereafter. We consider two flavor system comprised of electron and heavy-leptonic neutrinos. Accordingly, ρ\rho and ρ¯\bar{\rho} have four components,

ρ=(ρeeρexρexρxx),ρ¯=(ρ¯eeρ¯exρ¯exρ¯xx).\displaystyle\rho=\begin{pmatrix}\rho_{ee}&\rho_{ex}\\ \rho_{ex}^{\ast}&\rho_{xx}\end{pmatrix},\bar{\rho}=\begin{pmatrix}\bar{\rho}_{ee}&\bar{\rho}_{ex}\\ \bar{\rho}_{ex}^{\ast}&\bar{\rho}_{xx}\end{pmatrix}. (3)

It is also assumed that the neutrino distribution is spacial homogeneous and axial asymmetry in momentum space. In this study, we include neutrino emission and absorption via charged-current interactions by surrounding matters. Since heavy-leptons are unlikely to appear in CCSNe and BNSMs (but see [70]), we ignore the charged-current reactions for νx\nu_{x} and their anti-partners (ν¯x\bar{\nu}_{x}).

Refer to caption
Figure 1: Initial neutrino energy spectrum. Colors distinguish neutrino flavors. We also show the Fermi-Dirac distribution in black dotted (Tν=4.5T_{\nu}=4.5 MeV, μν=0\mu_{\nu}=0 MeV) and dot-dashed lines (Tν=6T_{\nu}=6 MeV, μν=8.91\mu_{\nu}=-8.91 MeV).
Refer to caption
Figure 2: Initial angular distributions (top) and ELN-XLN distributions (bottom). Colors and line types distinguish models and neutrino flavors, respectively.

Under these assumptions, the QKEs can be rewritten as

iρat=[νν,ρa]\displaystyle i\frac{\partial\rho_{a}}{\partial t}=\left[\mathcal{H}_{\nu\nu},\rho_{a}\right]
+i(2πRe[Re+Ra]ρee,a12[Re+Ra]ρex,a12[Re+Ra]ρxe,a0),\displaystyle+i\begin{pmatrix}2\pi R_{e}-\left[R_{e}+R_{a}\right]\rho_{ee,a}&-\frac{1}{2}\left[R_{e}+R_{a}\right]\rho_{ex,a}\\ -\frac{1}{2}\left[R_{e}+R_{a}\right]\rho_{xe,a}&0\end{pmatrix}, (4)
iρ¯at=[¯νν,ρ¯a]\displaystyle i\frac{\partial\bar{\rho}_{a}}{\partial t}=\left[\bar{\mathcal{H}}_{\nu\nu},\bar{\rho}_{a}\right]
+i(2πR¯e[R¯e+R¯a]ρ¯ee,a12[R¯e+R¯a]ρ¯ex,a12[R¯e+R¯a]ρ¯xe,a0),\displaystyle+i\begin{pmatrix}2\pi\bar{R}_{e}-\left[\bar{R}_{e}+\bar{R}_{a}\right]\bar{\rho}_{ee,a}&-\frac{1}{2}\left[\bar{R}_{e}+\bar{R}_{a}\right]\bar{\rho}_{ex,a}\\ -\frac{1}{2}\left[\bar{R}_{e}+\bar{R}_{a}\right]\bar{\rho}_{xe,a}&0\end{pmatrix},\ \ \ \ \ (5)

with the azimuthal-angle integrated density matrix ρaρa(Eν,cosθν,t)=𝑑ϕνρ(Eν,cosθν,ϕν,t)\rho_{a}\equiv\rho_{a}(E_{\nu},\cos{\theta_{\nu}},t)=\int d\phi_{\nu}\rho(E_{\nu},\cos{\theta_{\nu}},\phi_{\nu},t), the emission and absorption rates for electron neutrinos, ReR_{e} and RaR_{a}, and neutrino self-interaction potentials,

νν\displaystyle\mathcal{H}_{\nu\nu} =\displaystyle= 2GFEν2dEνdcosθν(2π)2\displaystyle\sqrt{2}G_{F}\int\int\frac{E_{\nu}^{\prime 2}dE_{\nu}^{\prime}d\cos{\theta_{\nu}^{\prime}}}{(2\pi)^{2}} (6)
×\displaystyle\times (1cosθνcosθν)\displaystyle(1-\cos{\theta_{\nu}}\cos{\theta_{\nu}^{\prime}})
×\displaystyle\times (ρa(Eν,cosθν,t)ρ¯a(Eν,cosθν,t)),\displaystyle(\rho_{a}(E_{\nu}^{\prime},\cos{\theta_{\nu}^{\prime}},t)-\bar{\rho}_{a}^{\ast}(E_{\nu}^{\prime},\cos{\theta_{\nu}^{\prime}},t)),
¯νν\displaystyle\bar{\mathcal{H}}_{\nu\nu} =\displaystyle= 2GFEν2dEνdcosθν(2π)2\displaystyle\sqrt{2}G_{F}\int\int\frac{E_{\nu}^{\prime 2}dE_{\nu}^{\prime}d\cos{\theta_{\nu}^{\prime}}}{(2\pi)^{2}} (7)
×\displaystyle\times (1cosθνcosθν)\displaystyle(1-\cos{\theta_{\nu}}\cos{\theta_{\nu}^{\prime}})
×\displaystyle\times (ρa(Eν,cosθν,t)ρ¯a(Eν,cosθν,t)).\displaystyle(\rho^{\ast}_{a}(E_{\nu}^{\prime},\cos{\theta_{\nu}^{\prime}},t)-\bar{\rho}_{a}(E_{\nu}^{\prime},\cos{\theta_{\nu}^{\prime}},t)).
ν\nu flavor nν/[1033cm3]n_{\nu}/[10^{33}{\rm cm^{-3}}] TνT_{\nu}/[MeV] μν\mu_{\nu}/[MeV] Ra(30MeV)/[cm1]R_{a}(30{\rm MeV})/[{\rm cm^{-1}}] Re(30MeV)/[cm1]R_{e}(30{\rm MeV})/[{\rm cm^{-1}}]
νe\nu_{e} 1.28 (1.28) 4.5 0.0 2.0×1052.0\times 10^{-5} 1.1×1061.1\times 10^{-6}
ν¯e\bar{\nu}_{e} 1.26 (1.16) 4.5 0.0 2.0×1062.0\times 10^{-6} 1.1×1071.1\times 10^{-7}
νx,ν¯x\nu_{x},\bar{\nu}_{x} 6.28 (5.78) 6 -8.9 0.0 0.0
Table 1: Numerical setups in this study. We refer to the SN simulation by Sumiyoshi and Yamada [71] (r50r\sim 50 km, 100 ms after the core bounce). The PTR-D model has the slightly smaller number of ν¯e\bar{\nu}_{e} and ν¯x\bar{\nu}_{x} and their number densities are shown in the parentheses.

We refer to results of SN simulation by Sumiyoshi and Yamada [71] to the numerical setup. In detail, we focus on the situation of \sim50 km from the stellar center at 100 ms after the core bounce. The detailed parameters are summarized in Table 1. In this situation, the chemical potentials of νe\nu_{e} and their anti-partners (ν¯e\bar{\nu}_{e}) are almost zero and the necessary condition for FFCs is in place. In SN matter, the matter density decreases towards the stellar surface and neutrinos are decoupled from matters at a certain radius (neutrino sphere). The position of neutrino sphere is generally rνe>rν¯e>rνxr_{\nu_{e}}>r_{\bar{\nu}_{e}}>r_{\nu_{x}}, rν¯xr_{\bar{\nu}_{x}}, although it depends on a neutrino energy. Here we focus on the region between the neutrino spheres of ν¯e\bar{\nu}_{e} and νx\nu_{x} around average neutrino energy111Specifically, we consider the transport sphere for νx\nu_{x} and ν¯x\bar{\nu}_{x}.. On the basis of this fact, we employ the initial energy spectrum of neutrinos in Figure 1. Here the quantity on the vertical axis is defined as IEν2/(2π)3ρadcosθνI\equiv E_{\nu}^{2}/(2\pi)^{3}\int\rho_{a}d\cos{\theta_{\nu}}. It is assumed that νe\nu_{e} and ν¯e\bar{\nu}_{e} are in the thermal equilibrium at all energies and at Eν20E_{\nu}\gtrsim 20 MeV, respectively. The energy spectrum for νe\nu_{e} and the higher energy part of ν¯e\bar{\nu}_{e} match with the FD of Tν=4.5T_{\nu}=4.5 MeV and μν=0\mu_{\nu}=0 MeV (dotted line). On the other hand, νx\nu_{x} and ν¯x\bar{\nu}_{x} are already decoupled from matters at all neutrino energies in more inner region of the star. Therefore, νx\nu_{x} and ν¯x\bar{\nu}_{x} spectra are consistent with the FD of Tν=6T_{\nu}=6 MeV and μν=8.91\mu_{\nu}=-8.91 MeV (dot-dashed line) at high energies. It should be noted that the spectrum of νe\nu_{e} and νx\nu_{x} are crossed with each other at Eν25E_{\nu}\sim 25 MeV.

We assume that νe\nu_{e} are isotropic initially, while we use four anisotropic distributions for ν¯e\bar{\nu}_{e}, νx\nu_{x} and ν¯x\bar{\nu}_{x}, following the previous papers [55, 49]. Hereafter we call the angular distribution models from Shalgar and Tamborra [55] and Padilla-Gay et al. [49] as ST and PTR models, respectively. We define energy-integrated angular distributions as gρaEν2𝑑Eν/(2π)3g\equiv\int\rho_{a}E_{\nu}^{2}dE_{\nu}/(2\pi)^{3},

gee,0(cosθν)=0.5nνe,\displaystyle g_{ee,0}(\cos{\theta_{\nu}})=0.5n_{\nu_{e}},
g¯ee,0(cosθν)={[0.47+0.05exp((cosθν1)2)]nνe,(STmodel)[0.45a+0.1bexp((cosθν1)22b2)]nνe,(PTRmodels)\displaystyle\bar{g}_{ee,0}(\cos{\theta_{\nu}})=\left\{\begin{array}[]{l}\left[0.47+0.05\exp{\left(-\left(\cos{\theta_{\nu}}-1\right)^{2}\right)}\right]n_{\nu_{e}},{\rm(STmodel)}\\ \left[0.45-a+\frac{0.1}{b}\exp{\left(\frac{-\left(\cos{\theta_{\nu}}-1\right)^{2}}{2b^{2}}\right)}\right]n_{\nu_{e}},{\rm(PTRmodels)}\end{array}\right.
gxx,0(cosθν)=g¯xx,0(cosθν)=0.5g¯ee,0(cosθν).\displaystyle g_{xx,0}(\cos{\theta_{\nu}})=\bar{g}_{xx,0}(\cos{\theta_{\nu}})=0.5\bar{g}_{ee,0}(\cos{\theta_{\nu}}). (9)

nνen_{\nu_{e}} is the total number of electron neutrinos; aa and bb are angular-shape parameters in Table 2. These initial angular distributions are shown in the top panel of Figure 2. The bottom panel shows the angular distributions of ELN-XLN, or LeLxgeeg¯eegxx+g¯xxL_{e}-L_{x}\equiv g_{ee}-\bar{g}_{ee}-g_{xx}+\bar{g}_{xx}. All models have the angles with both of the positive and negative LeLxL_{e}-L_{x} and hence FFCs are expected to be induced in all models. It should be noted that isotropic or non-isotropic in each flavor is consistent with whether or not the flavor is in thermal equilibrium.

model a b
PTR-B 0.02 0.4
PTR-C 0.02 0.6
PTR-D 0.06 0.2
Table 2: Parameters for initial angular distributions in the PTR models.

The emission and absorption rates (ReR_{e} and RaR_{a}) are also adopted by reference to the same situation in the realistic SN simulation. For the reaction rate of νe\nu_{e}, we emulate the electron capture by free protons, which is the dominant process in this situation. Specifically, we take Ra(Eν)=2×105cm1(Eν/30MeV)2R_{a}(E_{\nu})=2\times 10^{-5}\ {\rm cm^{-1}}(E_{\nu}/30{\rm MeV})^{2} and Re(Eν)R_{e}(E_{\nu}) is determined through the detailed balance relation, or Re(1ρee,eq)=Raρee,eqR_{e}(1-\rho_{ee,{\rm eq}})=R_{a}\rho_{ee,{\rm eq}}. Here ρee,eq\rho_{ee,{\rm eq}} is the Fermi-Dirac distribution (FD) for νe\nu_{e} with TνT_{\nu} and μν\mu_{\nu} in Table 1. For ν¯e\bar{\nu}_{e}, the absorption rate is assumed to be R¯a(Eν)=0.1Ra(Eν)\bar{R}_{a}(E_{\nu})=0.1R_{a}(E_{\nu}), emulating the positron capture by free neutrons, and R¯e(Eν)\bar{R}_{e}(E_{\nu}) is determined through the detailed balance relation in the same manner as that for νe\nu_{e}. We neglect the emission and absorption for νx\nu_{x} and ν¯x\bar{\nu}_{x} except in Section III.3.

We solve the QKEs with Monte Carlo (MC) method [72]. This code can treat neutrino transport, matter collisions and neutrino flavor conversions self-consistently. We ask readers to refer to [72] for more details.

III Monochromatic neutrinos

To extract the essence of emission and absorption effects, we first perform dynamical simulations of flavor conversions with a single neutrino energy. In section III.1, we investigate these effects using the PTR-B model, compared to the results in the absence of emission/absorption (PTR-Bwo). We also discuss how initial angular distributions and the emission/absorption of νx\nu_{x} and ν¯x\bar{\nu}_{x} affect the results in Sections III.3 and III.2, respectively. Through this section, it is assumed that all neutrinos have Eν=E_{\nu}= 13 MeV, which is the typical average energy of νe\nu_{e} in CCSNe. The total numbers of neutrinos for each flavor are shown in Table 1 and we adjust the energy bin width so that the initial νe\nu_{e} distribution function matches the thermal equilibrium value. The emission and absorption rates for νe\nu_{e} and ν¯e\bar{\nu}_{e} are set to be the values at Eν=E_{\nu}= 13 MeV and they satisfy the detailed-balance relation at Tν=4.5T_{\nu}=4.5 MeV and μν=0\mu_{\nu}=0 MeV. We consider 128 propagation directions of neutrinos as a reference resolution, following the angular distributions in Eq. 9.

t=0t=0 s t=8×106t=8\times 10^{-6} s
model ωp/[cm1]\omega_{p}/[{\rm cm^{-1}}] γ/[cm1]\gamma/[{\rm cm^{-1}}] ωp/[cm1]\omega_{p}/[{\rm cm^{-1}}] γ/[cm1]\gamma/[{\rm cm^{-1}}]
PTR-Bwo 0.1500.150 2.11×1022.11\times 10^{-2}
ST(Γ=0\Gamma=0) 0.1670.167 4.01×1034.01\times 10^{-3} - -
PTR-B(Γ=0\Gamma=0) 0.1500.150 2.11×1022.11\times 10^{-2} - -
PTR-C(Γ=0\Gamma=0) 0.1550.155 9.56×1039.56\times 10^{-3} - -
PTR-D(Γ=0\Gamma=0) 0.9520.952 0.1820.182 - -
ST 0.167 4.06×1034.06\times 10^{-3} 1.55 7.40×1087.40\times 10^{-8}
PTR-B 0.150 2.12×1022.12\times 10^{-2} 2.72 2.12×1062.12\times 10^{-6}
PTR-C 0.155 9.62×1039.62\times 10^{-3} 2.36 2.38×1062.38\times 10^{-6}
PTR-D 0.952 0.182 2.23 5.20×106-5.20\times 10^{-6}
ST(multi) 0.167 4.02×1034.02\times 10^{-3} 10.3 1.67×1061.67\times 10^{-6}
PTR-B(multi) 0.150 2.12×1022.12\times 10^{-2} 1.94 5.75×1065.75\times 10^{-6}
PTR-C(multi) 0.155 9.58×1039.58\times 10^{-3} 1.57 1.25×1051.25\times 10^{-5}
PTR-D(multi) 0.952 0.182 1.84 5.88×1055.88\times 10^{-5}
Table 3: Results of linear stability analysis at t=0t=0 s and t=8×106t=8\times 10^{-6} s. ”-” indicates that there are only solutions with γ=0\gamma=0 of dispersion relations (Eq. 24).

III.1 General properties of neutrino emission and absorption effects

Refer to caption
Figure 3: Time evolution of number densities for ρee\rho_{ee} (top,solid), ρxx\rho_{xx} (top,dotted) and Reρex\rho_{ex} (bottom). Green and black lines denote the PTR-B and PTR-Bwo models, respectively.
Refer to caption
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Refer to caption
Figure 4: Dispersion relation diagrams by the linear stability analysis. Top panel shows the result of PTR-Bwo model at t=0t=0 s. Middle and bottom panels describe the results of the PTR-B model at t=0t=0 s and 8×1068\times 10^{-6} s, respectively.

In this section, we explain effects of emission and absorption on flavor conversions using the PTR-B model. Figure 3 shows the time evolution of number densities for ρee\rho_{ee} (top, solid), ρxx\rho_{xx} (top, dotted) and Reρex\rho_{ex} (bottom). Green and black lines denote the PTR-B and PTR-Bwo models, respectively. In the PTR-Bwo model, the number densities of all components in density matrix repeat increase and decrease periodically. This is the typical FFC dynamics under the homogeneous assumption, which is described in analogy with pendulum motions [55]. In the PTR-B model, on the other hand, emission and absorption break the symmetry of the pendulum motion and the evolution of number densities is qualitatively different. This is the same as the case of isoenergetic neutrino-matter scattering [50, 51]. In detail, the number density of νe\nu_{e} decreases until t2×106t\sim 2\times 10^{-6} s and then it turns to increase, while that of νx\nu_{x} becomes almost constant after increase. This turning point is understood by the change of the driven mechanisms in the evolution. From here, we look at the detailed evolutionary properties in each phase.

In the early phase (t2×106t\lesssim 2\times 10^{-6} s), the evolution is driven by FFCs as well as the PTR-Bwo model, because the FFC timescale is much shorter than the collision one. Comparing with the PTR-Bwo model, however, the FFCs in the PTR-B model are more vigorous but shorter-lived. More precisely, the FFCs are initially vigorous due to breaking the symmetry of the pendulum motion, while matter decoherence gradually attenuates the FFCs. After the competition between these two effects, the larger number of νe\nu_{e} is converted to νx\nu_{x} via FFCs. Before entering into the discussion in the nonlinear evolution, we check the results of the linear stability analysis. We numerically solve the linearized equations for Eqs. 4 and 5 with small perturbations for off-diagonal components. In the case without matter collisions, Γ(Re+Ra)/2\Gamma\equiv(R_{e}+R_{a})/2 and Γ¯(R¯e+R¯a)/2\bar{\Gamma}\equiv(\bar{R}_{e}+\bar{R}_{a})/2 set to be 0. The more detailed methods are described in Appendix A (see also [66]). Top and middle panels of Figure 4 show the dispersion relation diagrams for the PTR-Bwo and PTR-B models, respectively. γ\gamma and ωp\omega_{p} denote the growth rate and oscillation frequency, respectively. Color bar describes the quantity of |D||D| in Eq. 24. The solutions of dispersion relations correspond to |D|0|D|\sim 0 (blue region). Among these solutions, the unstable (stable) modes correspond to those with γ>0\gamma>0 (γ0\gamma\leqq 0). For example, in the PTR-Bwo model, we find three blue regions and one unstable mode at ωp0.2cm1\omega_{p}\sim 0.2~{}{\rm cm^{-1}}. The exact values of γ\gamma and ωp\omega_{p} for the most unstable mode are summarized in Table 3. It is found that γ\gamma for the PTR-B model is slightly larger than that for the PTR-Bwo model, but this is a small increase for the strong flavor conversions in the nonlinear phase. In other words, it seems difficult to predict nonlinear evolution from the linear phase study, incorporating emission and absorption. To see the vigor of FFCs in the nonlinear phase, the amplitudes of off-diagonal components (Reρex\rho_{ex} and Imρex\rho_{ex}) can be a good indicator. In the bottom panel of Figure 3, the amplitude of Reρex\rho_{ex} in the PTR-B model is larger than that in the PTR-Bwo model at t5×107t\lesssim 5\times 10^{-7} s. After this time, on the other hand, the amplitude decays by absorption (see the right-hand side of Eq. 4), which indicates the suppression of FFCs. This attenuation moves to the latter phase, or collision driven phase (t2×106t\gtrsim 2\times 10^{-6} s).

Refer to caption
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Figure 5: Enlarged dispersion relation diagrams by the linear stability analysis for the PTR-B models at t=8×106t=8\times 10^{-6} s. Left and right panels show the cases without and with emission and absorption, respectively. It should be noted that we use an enlarged label in the horizontal axis. For example, the value of 22 on the axis actually corresponds to ωp=2.71822\omega_{p}=2.71822.
Refer to caption
Figure 6: Evolution of ELN-XLN angular distributions. Different colors denote the different time steps.

In the collision driven phase, CFIs and matter collisions characterize the evolution. Since the number of νx\nu_{x} is almost constant, at first glance, it appears that no flavor conversion occurs. However, we find the unstable mode by the linear stability analysis at t=8×106t=8\times 10^{-6} s (see Table 3 and bottom panel of Figure 4). The timescale of this mode is longer than that of interest, which is account for the constant nνxn_{\nu_{x}}. To deepen the understanding, we also see the growth rate for the case of Γ=0\Gamma=0, employing the results of the PTR-B model [PTR-B(Γ=0\Gamma=0)]. It should be noted that this model is different from the PTR-Bwo one. In the linear stability analysis, both models solve Eq. 24 with Γ=0\Gamma=0, but the former uses the neutrino distributions obtained from numerical simulations with emission/absorption, while the latter uses the results without them. Figure 5 shows the enlarged dispersion relation diagrams without (left) and with (right) emission and absorption. In both cases, we have the solutions at ωp2.718215\omega_{p}\sim 2.718215, but γ\gamma is almost 0 in the collisonless case, whereas γ\gamma is positive if collisions are taken into account. The exact values are summarized in Table 3. This suggests that the unstable mode is a CFI. On the other hand, the number density of νe\nu_{e} increases by emission until it will reach the thermal equilibrium with matters, or the initial state.

These features are also confirmed by the evolution of angular distributions. The left bottom panel of Figure 6 shows the evolution of LeLxL_{e}-L_{x} angular distributions in the PTR-B model. Different colors denote the different time steps. It is found that the crossing point moves toward cosθν=0\cos{\theta_{\nu}}=0 and disappears between 2×106s<t<4×1062\times 10^{-6}~{}{\rm s}<t<4\times 10^{-6} s (cyan and yellow lines); this implies that FFCs are terminated during this time, which is consistent with the stability condition by the linear analysis (see left panel of Figure 5). Figure 7 shows the evolution of geeg_{ee} (left) and gxxg_{xx} (right). In the left bottom panel, we find that the angular distribution of νe\nu_{e} deviates from the isotropic distribution by FFCs until t2×106t\sim 2\times 10^{-6} s and then it turns to the isotropization by emission. The angular distribution of νx\nu_{x}, on the other hand, is not so evolved after t=2×106t=2\times 10^{-6} s (see right bottom panel) due to no emission and absorption processes. These features are also consistent with those in the number density evolution.

Refer to caption
Figure 7: Evolution of angular distributions in the PTR-Bwo (top) and PTR-B models (bottom). Left and right panels show results of νe\nu_{e} and νx\nu_{x}, respectively. Different colors denote the different time steps. Each other’s initial distributions are also plotted in black-dotted lines.
Refer to caption
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Figure 8: Dispersion relation diagrams by the linear stability analysis at t=0t=0 s. The results of ST, PTR-C and PTR-D models are shown from top to bottom panels, respectively.
Refer to caption
Figure 9: Time evolution of number densities for ρee\rho_{ee}, ρxx\rho_{xx} (top) and Reρex\rho_{ex} (bottom). Colors and line times distinguish the models and neutrino flavor, respectively.

We find another interesting feature, or an angular swap, in Figure 7. Top panels display the results of the PTR-Bwo model. Cyan lines denote the time step when the largest conversions occur near the LeLxL_{e}-L_{x} crossing point (cosθν0.1\cos{\theta_{\nu}}\sim 0.1), and it is found that geeg_{ee} (gxxg_{xx}) at this angle is close to the initial gxxg_{xx} (geeg_{ee}). The initial distributions are shown in black-dotted lines. This feature is quite similar to a spectral swap observed in a slow instability [73]. It is known that the total lepton number (ρee+ρxx\rho_{ee}+\rho_{xx}) and the quantity of P=(ρeeρxx)2+4(Reρex)2+4(Imρex)2P=(\rho_{ee}-\rho_{xx})^{2}+4({\rm Re}\rho_{ex})^{2}+4({\rm Im}\rho_{ex})^{2} are conserved in each propagation direction without matter collisions [74]222PP corresponds to the length of polarization vector.. From these quantities, we derive that geeg_{ee} and gxxg_{xx} can not change beyond each other’s initial values. Including neutrino emission and absorption, the angular swaps are found at the wider angles (see bottom panels). Matter collisions shift the LeLxL_{e}-L_{x} crossing points slightly with time as seen in Figure 6. On the other hand, since the collision time scale is much longer than that for FFCs, matter collisions can be neglected while FFCs are occurring and the similar large conversions at the new crossing points occur as the case of pure FFCs. This is the reason for the more vigorous FFCs in the PTR-B model than those in the PTR-Bwo model. Thus, it is worth nothing that matter collisions that are sufficiently slower than FFCs have a significant impact on the dynamics of FFCs.

III.2 Dependence of initial angular distribution

It is known that angular distributions are one of the essential factor for the dynamics of FFCs [49]. Moreover, impact of matter collisions also depends on the degree of anisotropy of neutrinos. Hence we discuss the dependence of initial angular distributions in this section. We employ four models with different angular distributions: ST and PTR models (see Eqs. 9 and Figure 2). They have different ELN-XLN crossing points in the bottom panel of Figure 2 and the order of crossing depth is PTR-D >> PTR-B >> PTR-C >> ST model. Figure 8 shows the dispersion relation diagrams for the ST (top), PTR-C (middle) and PTR-D (bottom) models at t=0t=0 s and the ωp\omega_{p} and γ\gamma of unstable modes are summarized in Table 3. It is found that the growth rate is in line with the crossing depth. This is consistent with the previous studies [49].

Figure 9 shows the time evolution of number densities. The description is the same as Figure 3. We find that all models have two phases with the different driven mechanisms of evolution: FFC and matter collision driven phases, but the evolution features in each phase are different among models. In the FFC driven phase (t4×106t\lesssim 4\times 10^{-6} s), the features of nνxn_{\nu_{x}} evolution, i.e., the oscillation amplitude, vigor and lifetime of FFCs, depends on the initial angular distributions as expected from the results of linear stability analysis (see Table 3). In particular, it is found that the numbers of νx\nu_{x} produced via FFCs are not correlated with the initial growth rate. For example, the PTR-D model has the largest growth rate, whereas the final sate of nνxn_{\nu_{x}} is smallest among the models. This is due to the non-linear interplay between FFCs and matter collisions. From the previous discussion, it follows that the crossing depth in the initial angle distribution is also not an appropriate indicator of the nonlinear evolution. This is consistent with the previous studies without matter collisions but with inhomogeneous neutrino background [14, 61].

In the collision driven phase (t4×106t\gtrsim 4\times 10^{-6} s), nνen_{\nu_{e}}’s in all models increase by emission along with the attenuation of FFCs. On the other hand, the νx\nu_{x} evolution is different among models. This shows the difference in the behavior of flavor conversions. First, we see the results of linear stability analysis. γ\gamma’s at t=8×106t=8\times 10^{-6} s are summarized in Table 3. We find that the models other than the PTR-D model have unstable modes. Since these modes disappear in the collisionless cases (see the results of the Γ=0\Gamma=0 cases in Table 3), they are CFIs. In the PTR-D model, we have only the solution with γ<0\gamma<0 and flavor conversions decay by the matter decoherence. The matter decoherence features can be read from the evolution of Re ρex\rho_{ex}. To qualitatively understand the decoherence, we see the time evolution of γ\gamma in the PTR-B and PTR-D models. The results are shown in the top panel of Figure 10. In the bottom panel, we also replot the Reρex\rho_{ex} evolution of Figure 9 in the logarithmic scale for the convenience. In the former (green), at 1×1061\times 10^{-6} s<t<2×106<t<2\times 10^{-6} s, γ\gamma becomes negative, which implies that the initially induced FFCs are attenuated by the matter decoherence. After the attenuation of FFCs, γ\gamma comes back to positive because of the CFIs. These trends of γ\gamma evolution match with those of Reρex\rho_{ex} in the bottom panel including the timescale of increase/decrease. In the PTR-D model, once γ\gamma becomes negative at t=1×106t=1\times 10^{-6} s, it stays throughout the simulation time. That indicates that the matter decoherence continues in the later phase. We find that this is again consistent with the Reρex\rho_{ex} evolution. Thus, the γ\gamma evolution can be a useful tool to capture the evolutional trend of off-diagonal components.

The evolution of LeLxL_{e}-L_{x} distributions is shown in Figure 6. They also suggest the same features as those in the number density evolution of each model. In the PTR-C models (right top), LeLxL_{e}-L_{x}’s are positive in all directions at t4×106t\gtrsim 4\times 10^{-6} s (yellow). This is consistent with the saturation time scale in the nνxn_{\nu_{x}} evolution. Moreover, FFCs no longer occur after this time as well as the linear analysis suggests. In the PTR-D model (right bottom), although the negative LeLxL_{e}-L_{x} is found at cosθν1\cos{\theta_{\nu}}\sim-1 even at t=8×106t=8\times 10^{-6} s, the crossing is so small that the matter docoherence dominates over flavor conversions. In the ST model, although LeLxL_{e}-L_{x}’s are positive at all directions after t106t\sim 10^{-6} s and the results seem to be understandable through similar considerations, we must take care of the angular resolution, as described below.

Refer to caption
Figure 10: Time evolution of growth rate (top) and Reρex\rho_{ex} (bottom) for the PTR-B and PTR-D models. Colors distinguish the models. It should be noted that the bottom panel uses the same data as the bottom panel of Figure 9, but the vertical axis is drawn in log scale.

Finally, we should note the importance of angular resolution. We perform the resolution study and find that the results need attention only with respect to the ST model. Its nνxn_{\nu_{x}} evolution is shown in Figure 11. Different colors denote different number of angular grids, or NθνN_{\theta_{\nu}}. It is found that the increment of nνxn_{\nu_{x}} in the later phase (t6×106t\gtrsim 6\times 10^{-6} s) becomes more gradual with the angular resolution. This is because the fine structure is not accurately resolved in the case of low resolution and moreover the spurious unstable modes artificially enhance the evolution [75]. This fact again makes us aware of the importance of the angular distribution in FFCs. It should be noted that we confirm the reference resolution with NθνN_{\theta_{\nu}}=128 is sufficient in the other models.

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Figure 11: The resolution study of nνxn_{\nu_{x}} evolution in the ST model. Colors distinguish the number of angular grids.
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Figure 12: The nνxn_{\nu_{x}} evolution in the cases of Ra=0R_{a}^{\prime}=0 (coral, solid) and 0.1Ra0.1R_{a} (navy, dotted). We employ the PTR-B model as the initial angular distributions.

III.3 Emission and absorption of νx\nu_{x} and ν¯x\bar{\nu}_{x}

νx\nu_{x} and ν¯x\bar{\nu}_{x} also interact with surrounding matters via thermal processes in CCSNe and BNSMs, although their reaction rates are smaller than those of νe\nu_{e} and ν¯e\bar{\nu}_{e}. If emission and absorption of νx\nu_{x} and ν¯x\bar{\nu}_{x} are taken into account, they are also thermalized as well as νe\nu_{e} and the evolution of nνxn_{\nu_{x}} may be changed. We hence investigate effects of emission and absorption for νx\nu_{x} and ν¯x\bar{\nu}_{x} in this section. The collision term CC, or the second term in the right hand sides of Eq. 4, is written as

C=(2πRe[Re+Ra]ρee,a12[Re+Ra+Re+Ra]ρex,a12[Re+Ra+Re+Ra]ρxe,a2πRe[Re+Ra]ρxx,a),\displaystyle C=\begin{pmatrix}2\pi R_{e}-\left[R_{e}+R_{a}\right]\rho_{ee,a}&-\frac{1}{2}\left[R_{e}+R_{a}+R^{\prime}_{e}+R^{\prime}_{a}\right]\rho_{ex,a}\\ -\frac{1}{2}\left[R_{e}+R_{a}+R^{\prime}_{e}+R^{\prime}_{a}\right]\rho_{xe,a}&2\pi R^{\prime}_{e}-\left[R^{\prime}_{e}+R^{\prime}_{a}\right]\rho_{xx,a}\end{pmatrix}, (10)

with the νx\nu_{x} emission and absorption rates ReR^{\prime}_{e} and RaR^{\prime}_{a}. For antineutrinos, the same reaction rates are introduced into C¯\bar{C} in the same manner. The absorption rates are set to be Ra=0.1RaR^{\prime}_{a}=0.1R_{a} and the emission rates are determined by the detailed balance relation with Tν=4.5T_{\nu}=4.5 MeV and μν=0\mu_{\nu}=0 MeV. The angular distributions in the PTR-B model are employed initially. Figure 12 shows the nνxn_{\nu_{x}} evolution. Coral and navy lines denote the cases of Ra=0R_{a}^{\prime}=0 and 0.1Ra0.1R_{a}, respectively. We find that the deviation from the case of no νx\nu_{x} emission and absorption processes is 5×103\sim 5\times 10^{-3}% at t=105t=10^{-5} s owing to the slow collision timescale (1.6×103\sim 1.6\times 10^{-3} s). It is confirmed that thermalization effects for νx\nu_{x}/ν¯x\bar{\nu}_{x} are negligible unless their reactions become comparable to νe\nu_{e} and ν¯e\bar{\nu}_{e}.

IV Non-monochromatic neutrinos

In CCSNe and BNSMs, neutrinos have non-monochromatic energy spectrum and the reaction rates of neutrino-matter interactions are energy dependent. Hence it is natural to consider the evolution of neutrino flavors with matter collisions in the multi-energetic treatment. In this section, we employ the neutrino energy spectrum and the energy-dependent reaction rates into numerical simulations. The initial energy spectrum are described in Figure 1 and they are consistent with the realistic CCSN simulation. We adopt 10 energy meshes in the range of 01000-100 MeV. As the single-energy case, the energy-integrated angular distributions follow Eqs. 9 of four models (see also Figure 2) and the same number of neutrinos are employed in Table 1. We distribute 1,280 MC samples in a neutrino phase space.

Figure 13 shows the time evolution of nνen_{\nu_{e}} (top) and nνxn_{\nu_{x}} (bottom). Colors distinguish the models, and the results of single-energy cases are also plotted in darker dotted lines. We find that these evolution has two phases, FFC and collision driven phases, as same as the single-energy case. First, we discuss effects of multi-energetic treatment using the PTR-B model as a reference (green line). At t4×106t\lesssim 4\times 10^{-6} s, FFCs drive the evolution as well as the single-energy case. Table 3 shows the results of linear stability analysis. We find that the growth rate is almost the same as that in the single-energy case. This fact is attributed to the property that the dynamics of pure FFCs is energy-independent and depends on the number densities of neutrinos (see Eq. 4). On the other hand, the overall flavor evolution is delayed by effects of energy-dependent collisions. For Eν13E_{\nu}\lesssim 13 MeV, the reaction rates are smaller than that in the single-energy case, and the decoherence by the absorption of off-diagonal components is weak. As see in Figure 1, the fraction of neutrinos with Eν13E_{\nu}\lesssim 13 MeV to the total number of neutrinos is 84%\sim 84\% initially and these neutrinos contribute to the self-interaction Hamiltonian HννH_{\nu\nu}. This dominancy of low energy neutrinos leads to the slower attenuation of FFCs, and hence the lifetime of FFCs is extended in the multi-energy treatment. The extension of FFC lifetime is also confirmed by the evolution of LeLxL_{e}-L_{x} evolution in the left bottom panel of Figure 14. The multi- and single-energy results are shown in solid and dashed lines, respectively. At t=4×106t=4\times 10^{-6} s, LeLxL_{e}-L_{x}’s are positive at all angles in the single-energy case, whereas the negative LeLxL_{e}-L_{x} appears at cosθν0.2\cos{\theta_{\nu}}\lesssim-0.2 in the multi-energy case. This indicates that FFCs in the multi-energy case still survive until this time. The crossings in this case disappear at t=8×106t=8\times 10^{-6} s.

In our previous paper [56], we have proposed the χ\chi diagnostics to quantify the impact of multi-energy effects on FFCs with a χ\chi parameter, or χ=(EνREν)/(Eν+REν)\chi=\mid(\langle E_{\nu}\rangle-\langle RE_{\nu}\rangle)/(\langle E_{\nu}\rangle+\langle RE_{\nu}\rangle)\mid. Eν\langle E_{\nu}\rangle and REν\langle RE_{\nu}\rangle are the average energy of neutrinos and reaction-weighted one, respectively. In the monochromatic neutrino case, χ\chi exactly becomes 0. If χ0\chi\sim 0 in the multi-energy case, neutrinos with a particular energy dominantly contribute to a flavor evolution and results are close to single-energy ones. As χ\chi increases, the deviation from single-energy results becomes larger, and the multi-energy treatment is essential. We derive χ=0.281\chi=0.281 for the PTR-B model, which indicates that the multi-energy treatment is essential in this model. This is consistent with numerical results.

Similar as scatterings, the energy-dependent emission/absorption generates rich energy-dependent features in FFCs. Figure 15 shows the time evolution of IeeI_{ee} (blue) and IxxI_{xx} (red). We normalize II’s by the initial values I0I_{0}’s in each neutrino energy. Colors get darker with neutrino energies. It is found that Iee/Iee,0I_{ee}/I_{ee,0}’s for Eν25E_{\nu}\lesssim 25 MeV increase with time, whereas they decrease for Eν25E_{\nu}\gtrsim 25 MeV. This is attributed to the initial spectral crossing between IeeI_{ee} and IxxI_{xx} at Eν25E_{\nu}\sim 25 MeV (see Figure 1). Since FFCs attempt to eliminate the difference between νe\nu_{e} and νx\nu_{x}, the direction of conversions differs between high and low energies. Related to this, we find that flavor conversions occur strongly at the higher energy because of the larger difference between IeeI_{ee} and IxxI_{xx}.

Refer to caption
Figure 13: Time evolution of nνen_{\nu_{e}} (top) and nνxn_{\nu_{x}} (bottom) in the case of multi-energy. Colors distinguish the angular models and the results of single-energy cases are also plotted in darker dotted lines.
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Figure 14: The same figures as Figure 6 but for the multi-energy case.
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Figure 15: Time evolution of IeeI_{ee} (blue lines) and IxxI_{xx} (red lines) in the PTR-B model. We normalize II’s by the initial values I0I_{0}’s in each neutrino energy. Colors get darker with neutrino energies.

In the late phase (t4×106t\gtrsim 4\times 10^{-6} s), after FFCs are sufficiently attenuated, matter collisions and CFIs drive the evolution. In top panel of Figure 13, we find that nνen_{\nu_{e}} increases by emission more slowly than the single-energy case. This indicates the energy-averaged emission rate is smaller in the multi-energy case, which is consistent with the result in the FFC driven phase. On the other hand, since reactions for νx\nu_{x} and ν¯x\bar{\nu}_{x} are neglected, the constant evolution is observed as same as the single-energy case. As shown by the linear stability analysis, the unstable mode is observed at t=8×106t=8\times 10^{-6} s, but the growth rate γ\gamma is longer than the timescale of interest (see Table 3). Considering that the crossings in the LeLxL_{e}-L_{x} distribution disappears at t=8×106t=8\times 10^{-6} s, this unstable mode is presumed to be CFIs. Moreover, it should be noted that the asymptotic values of nνxn_{\nu_{x}} are nearly identical between the single- and multi-energy cases. This is understood by the evolution of angular distributions in Figure 16. We find the angular swaps between νe\nu_{e} and νx\nu_{x} at wider angular range as same as the single-energy case. As mentioned in Section III.1, FFCs at each angle are determined by the total lepton number and the quantity PP. Since adopting the same angular distributions for both cases, the asymptotic states are almost the same.

Refer to caption
Figure 16: The same figures as Figure 7 but for the multi-energy case.

We also investigate the dependence of initial angular distributions using the ST and PTR models. In all the models, the initial growth rates γ\gamma are almost the same as the single-energy case in Table 3, which again describes the property of FFCs. The results in the nonlinear phase are shown in Figures 13 and 14. In all models, the overall evolution becomes slower than the single-energy cases as same as the PTR-B model, while the features of each model are similar to those of the single-energy case. Below are some comments on individual models. The effects of multi-energy treatment in the PTR-C model are similar to that in the PTR-B model. Specifically, the asymptotic states in the PTR-C model (t4×106t\gtrsim 4\times 10^{-6} s) are almost identical between the single- and multi-energy cases due to the fact that the maximum amount of FFCs is limited. After the LeLxL_{e}-L_{x} crossing disappears at t8×106t\sim 8\times 10^{-6} s, CFIs drive the weak flavor conversions. In the PTR-D model, the LeLxL_{e}-L_{x} crossings are still observed even at t=8×106t=8\times 10^{-6} s in Figure 14 and FFCs survive to the end in the timescale of interest. As same as the single case of ST model, high angular resolutions are necessary in the multi-energy case. In the high-resolution results (Nθν=512N_{\theta_{\nu}}=512), the LeLxL_{e}-L_{x} crossings are found even at t=8×106t=8\times 10^{-6} s and hence the unstable mode at this time may be the weak FFCs.

V Summary and discussion

We perform dynamical simulations of neutrino flavor conversions with neutrino emission and absorption under the assumption of homogeneous neutrinos. We adopt physically motivated setups in this study, which is set based on the results of realistic SN simulations [71]. We start with discussing the case with energy-independent reaction rates (Section III), which presents some key features of the interplay between flavor conversion and emission/absorption. The dynamics is qualitatively different from FFCs without collisions; indeed, the periodic (or pendulum-like) features in flavor conversions disappear. The result is essentially in line with the case with isoenergetic neutrino-matter scattering [55, 50, 56].

We also find that the time evolution of flavor conversions with emission/absorption can be divided into two phases, (1)FFC driven phase and (2)collisional one. The multiple phase appearing in nonlinear regime is accounted for by the disparity of timescales between FFC and collisions. In the former phase, FFCs are initially more vigorous than the case without collisions due to breaking the symmetry of pendulum motion by collisions. On the other hand, FFCs are gradually attenuated by matter decoherence. After the competition of these collision effects, the larger number of νe\nu_{e} is converted to νx\nu_{x} by FFCs. In the latter phase, the flavor conversion is driven by CFIs, while the timescale is much longer than FFCs. νe\nu_{e} and ν¯e\bar{\nu}_{e}, which are less populated than the initial state due to strong FFCs in the earlier phase, are replenished by emission. The asymptotic states are characterized by matter collisions in this phase. Although the detailed features depend on the initial condition, we show that the overall trend is similar among all our models. It should also be worthy to note that νx\nu_{x} emission/absorption do not change our conclusion, unless their reactions become comparable to νe\nu_{e} and ν¯e\bar{\nu}_{e}.

We also find that angular swap between νe\nu_{e} (ν¯e\bar{\nu}_{e}) and νx\nu_{x} (ν¯x\bar{\nu}_{x}) is facilitated by emission/absorption. In the pure FFC cases, the swap occurs very narrow angular region where ELN crossing occurs nearby. On the other hand, the crossing point can substantially deviate from the initial angular position in the case with emission/absorption, that expands the region where the angular swap occurs.

We extend our discussion in the case with energy-dependent reaction rates. The initial energy spectrum are set so as to be consistent with realistic SN simulations. In the low energy regime, the isotropization of neutrinos by emission/absorption is less remarkable, and therefore the lifetime of FFCs can be longer than the single-energy case. As a result, the overall trend becomes similar to the case with the lower reaction rate for monochromatic neutrinos. It should be mentioned that, although the flavor conversion is less vigorous than the single-energy case, the long-lived FFCs compensates for this. In fact, the degree of flavor conversion is almost identical to the signle-energy case, and the angular swap is also observed in a wide angular region. We also find that the energy-dependent emission/absorption generates rich energy-dependent features in FFCs similar as scatterings. In initial condition, the energy spectrum of νe\nu_{e} and νx\nu_{x} is comparable at Eν25E_{\nu}\sim 25 MeV, while νe\nu_{e} and νx\nu_{x} are dominant at the lower and higher energy regions, respectively. This exhibits that the increase or decrease of each flavor of neutrinos due to flavor conversion becomes qualitatively different between the low and high energy region.

Although the present study does not address all issues in the interplay between flavor conversions and collision term, it provides some valuable insights on quantum kinetic features of neutrinos in CCSN and BNSM environments. One of them is to determine asymptotic states of neutrinos. As shown in our models, FFCs promptly establish a quasi-steady state, which corresponds to, however, just a pseudo asymptotic state. After FFCs subside, matter collisions or CFIs take over to dictate secure evolution of neutrinos, asymptoting to another state. This indicates that the actual asymptotic state of neutrinos can not be determined solely by either neutrino flavor conversion or neutrino-matter interaction, but by self-consistent treatments of feedback between both of them.

This study also reveals a new possibility that flavor conversion offers a new path to absorb νx\nu_{x} in the high energy region. Since the νx\nu_{x} is initially larger than νe\nu_{e}, flavor conversions facilitate the νx\nu_{x} conversion to νe\nu_{e}, and then it is absorbed through charged current reactions of νe\nu_{e}, exhibiting the increase of neutrino heating. It is an intriguing question how the heating can influence on CCSN and BNSM dynamics, although we leave the detailed investigations for future work.

In this work, we impose many simplifications and assumptions such as homogeneous neutrino gas, axial symmetry in momentum space, and two flavor system. Recent works have shown that the dynamics of flavor conversion is very sensitive to these conditions (e.g., [38, 40, 76, 42, 14, 13, 61, 77]). We also note that the homogeneous approximation suffers from a self-consistent problem in studying the impact of collisions on flavor conversion [78]. It should be stressed, however, that some intrinsic features of collision effects can be studied in our simplified approach. This offers new insights into roles of flavor conversions on CCSNe/BNSMs dynamics.

Acknowledgements.
We are grateful to Lucas Johns for useful comments and discussions. C. K. is supported by JSPS KAKENHI Grant Numbers JP20K14457 and JP22H04577. M.Z. is supported by JSPS Grant-in-Aid for JSPS Fellows (No. 22J00440) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. The numerical calculations were carried out on Cray XC50 at Center for Computational Astrophysics, National Astronomical Observatory of Japan.

Appendix A Linear stability analysis

In the linear stability analysis, we focus on the off-diagonal components SS and S¯\bar{S} of neutrino density matrices:

ρ=(ρeeSSρxx),ρ¯=(ρ¯eeS¯S¯ρ¯xx).\displaystyle\rho=\begin{pmatrix}\rho_{ee}&S\\ S^{\ast}&\rho_{xx}\end{pmatrix},\bar{\rho}=\begin{pmatrix}\bar{\rho}_{ee}&\bar{S}\\ \bar{S}^{\ast}&\bar{\rho}_{xx}\end{pmatrix}. (11)

In the flavor-isospin convention, in which negative energy stands antineutrinos as ρ¯(E)ρ(E)\bar{\rho}(E)\equiv-\rho(-E), the governing equation for the off-diagonal component can be written from Eqs. 4 and 5 as

[it+12i(Re+Ra)\displaystyle\left[i\frac{\partial}{\partial t}+\frac{1}{2}i\left(R_{e}+R_{a}\right)\right.
2GFdP(1cosθνcosθν)(ρeeρxx)]S\displaystyle\left.-\sqrt{2}G_{F}\int dP^{\prime}\left(1-\cos{\theta_{\nu}}\cos{\theta_{\nu}^{\prime}}\right)\left(\rho_{ee}^{\prime}-\rho_{xx}^{\prime}\right)\right]S
=2GF(ρxxρee)𝑑P(1cosθνcosθν)S,\displaystyle=\sqrt{2}G_{F}\left(\rho_{xx}-\rho_{ee}\right)\int dP^{\prime}\left(1-\cos{\theta_{\nu}}\cos{\theta_{\nu}^{\prime}}\right)S^{\prime},\ \ \ \ \ \ (12)

with dP=Eν2dEνdcosθνdϕν/(2π)3dP^{\prime}=E_{\nu}^{\prime 2}dE_{\nu}^{\prime}d\cos{\theta_{\nu}^{\prime}d\phi_{\nu}^{\prime}}/(2\pi)^{3}. In the linear stability analysis, we assume that the off-diagonal components are enough small to ignore the mode coupling with the diagonal components. Then, for the plane wave solution SQexp(iΩt)S\propto Q\exp(-i\Omega t) in a homogeneous mode, we obtain

[Ω(Λ0Λ1cosθν)+iΓ]Q\displaystyle\left[\Omega-\left(\Lambda_{0}-\Lambda_{1}\cos\theta_{\nu}\right)+i\Gamma\right]Q
=(a0a1cosθν)(ρeeρxx),\displaystyle\,\,\,\,\,=-\left(a_{0}-a_{1}\cos\theta_{\nu}\right)\left(\rho_{ee}-\rho_{xx}\right), (13)

where

Γ\displaystyle\Gamma \displaystyle\equiv 12[Re(Eν)+Ra(Eν)],\displaystyle\frac{1}{2}\left[R_{e}(E_{\nu})+R_{a}(E_{\nu})\right], (14)
Λ0\displaystyle\Lambda_{0} \displaystyle\equiv 2GF𝑑P(ρeeρxx),\displaystyle\sqrt{2}G_{F}\int dP\left(\rho_{ee}-\rho_{xx}\right), (15)
Λ1\displaystyle\Lambda_{1} \displaystyle\equiv 2GF𝑑Pcosθν(ρeeρxx),\displaystyle\sqrt{2}G_{F}\int dP\cos{\theta_{\nu}}\left(\rho_{ee}-\rho_{xx}\right), (16)
a0\displaystyle a_{0} \displaystyle\equiv 2GF𝑑PQ,\displaystyle\sqrt{2}G_{F}\int dP\,Q, (17)
a1\displaystyle a_{1} \displaystyle\equiv 2GF𝑑PcosθνQ.\displaystyle\sqrt{2}G_{F}\int dP\cos{\theta_{\nu}}\,Q. (18)

By solving Eq. 13, we derive the eigenfunction QQ as

Q=(a0a1cosθν)(ρeeρxx)Ω(Λ0Λ1cosθν)+iΓ,\displaystyle Q=-\frac{\left(a_{0}-a_{1}\cos\theta_{\nu}\right)\left(\rho_{ee}-\rho_{xx}\right)}{\Omega-\left(\Lambda_{0}-\Lambda_{1}\cos\theta_{\nu}\right)+i\Gamma}, (19)

and also describe a0a_{0} and a1a_{1} as

a0\displaystyle a_{0} =\displaystyle= 2GF𝑑P(a0a1cosθν)(ρeeρxx)Ω(Λ0Λ1cosθν)+iΓ,\displaystyle-\sqrt{2}G_{F}\int dP\frac{\left(a_{0}-a_{1}\cos\theta_{\nu}\right)\left(\rho_{ee}-\rho_{xx}\right)}{\Omega-\left(\Lambda_{0}-\Lambda_{1}\cos\theta_{\nu}\right)+i\Gamma}, (20)
a1\displaystyle a_{1} =\displaystyle= 2GF𝑑Pcosθν(a0a1cosθν)(ρeeρxx)Ω(Λ0Λ1cosθν)+iΓ.\displaystyle-\sqrt{2}G_{F}\int dP\cos\theta_{\nu}\frac{\left(a_{0}-a_{1}\cos\theta_{\nu}\right)\left(\rho_{ee}-\rho_{xx}\right)}{\Omega-\left(\Lambda_{0}-\Lambda_{1}\cos\theta_{\nu}\right)+i\Gamma}.

The matrix expression of above two equations is

(a0a1)=(I0I1I1I2)(a0a1),\displaystyle\begin{pmatrix}a_{0}\\ a_{1}\end{pmatrix}=\begin{pmatrix}-I_{0}&I_{1}\\ -I_{1}&I_{2}\end{pmatrix}\begin{pmatrix}a_{0}\\ a_{1}\end{pmatrix}, (22)

where

In=2GF𝑑Pcosnθν(ρeeρxx)Ω(Λ0Λ1cosθν)+iΓ,\displaystyle I_{n}=\sqrt{2}G_{F}\int dP\cos^{n}\theta_{\nu}\frac{\left(\rho_{ee}-\rho_{xx}\right)}{\Omega-\left(\Lambda_{0}-\Lambda_{1}\cos\theta_{\nu}\right)+i\Gamma},
(23)

and the nontrivial solutions for a0a_{0} and a1a_{1} exist when the following condition is satisfied

D(Ω)(1+I0)(1I2)+I12=0.\displaystyle D(\Omega)\equiv(1+I_{0})(1-I_{2})+I_{1}^{2}=0. (24)

We derive a dispersion relation Ωωp+iγ\Omega\equiv\omega_{p}+i\gamma for the homogeneous mode as the solution of Eq. 24. In Figures 4, 5, 8 and 17, we plot |D|\left|D\right| on the ωpγ\omega_{p}-\gamma plane for the root-finding. The values of |D||D| are described by the color bar and the combinations of ωp\omega_{p} and γ\gamma, where |D|0|D|\sim 0 (blue regions), are the dispersion relations of the systems. The γ>0\gamma>0 (γ0\gamma\leqq 0) solutions correspond to growing (decaying) modes.

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Figure 17: Dispersion relation diagrams by the linear stability analysis at t=4×106t=4\times 10^{-6} s in the ST model. Left and right panels show the results of Nθν=128N_{\theta_{\nu}}=128 and 1024, respectively.

The origin of CFI modes is the collision rates Γ\Gamma in the denominator of Eq. 23. If we find the γ>0\gamma>0 solutions, they are possible CFI modes. In the collisionless case, or Γ=0\Gamma=0, on the other hand, Eq. 13 becomes the equation for the pure FFCs in the homogeneous case. By solving Eq. 24 with Γ=0\Gamma=0, we can determine whether a system is stable or unstable for FFC modes. Moreover, the analysis of Γ=0\Gamma=0 tells us important information for CFI modes. Since Γ\Gamma is always real, it changes not the real part of Ω\Omega (ωp\omega_{p}) but the imaginary part (γ\gamma). Hence if the γ>0\gamma>0 modes in the Γ0\Gamma\neq 0 analysis become stable ones in the Γ=0\Gamma=0 analysis at the same ωp\omega_{p}, we confirm that they are CFI modes.

It should be noted that we can see the presence of poles (or branch cuts) leading to spurious modes in the denominator in Eq. 23 [79]. For Λ0,1>0\Lambda_{0,1}>0, the branch cut spans from Λ0Λ1\Lambda_{0}-\Lambda_{1} to Λ0+Λ1\Lambda_{0}+\Lambda_{1} on the axis of γ=iΓ(Eν)\gamma=i\Gamma(E_{\nu}) and is replaced with spurious modes by discretizing the angular integration in Eq. 23. For example, Figure 17 shows the results of linear stability analysis for the ST model at t=4×106t=4\times 10^{-6} s. Left and right panels show the cases with Nθν=128N_{\theta_{\nu}}=128 and 1024, respectively. Spurious modes appear at different positions in the dispersion relation diagram depending on angular resolution, whereas regardless of angular resolution, the actual solution appear in the same positions. Following this strategy, we select the actual solution of the dispersion relations. For this example, the actual solution is found at ωp0.925\omega_{p}\sim 0.925.

References