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On the narrow spectral feature at \sim3 TeV in the MAGIC spectrum of Mrk 501

Wen Hu1 and Dahai Yan2
1Department of Physics, Jinggangshan University, Jiangxi Province, Ji’an 343009, People’s Republic of China
2Key Laboratory for the Structure and Evolution of Celestial Objects, Yunnan Observatories, Chinese Academy of Sciences,
Kunming 650011, People’s Republic of China
E-mail: [email protected]
(Accepted XXX. Received YYY; in original form ZZZ)
Abstract

Using a time-dependent one-zone leptonic model that incorporates both shock acceleration and stochastic acceleration processes, we investigate the formation of the narrow spectral feature at 3\sim 3 TeV of Mrk 501 which was observed during the X-ray and TeV flaring activity in July 2014. It is found that the broadband spectral energy distribution (SED) can be well interpreted as the synchrotron and synchrotron-self-Compton emission from the electron energy distribution (EED) that is composed by a power-law (PL) branch and a pileup branch. The PL branch produces synchrotron photons which are scattered by the electrons of the pileup branch via inverse-Compton scattering and form the narrow spectral feature observed at the TeV energies. The EED is produced by two injection episodes, and the pileup branch in EED is caused by shock acceleration rather than stochastic acceleration.

keywords:
acceleration of particles – radiation mechanisms: non-thermal – BL Lacertae objects: individual: Mrk 501
pubyear: 2021pagerange: On the narrow spectral feature at \sim3 TeV in the MAGIC spectrum of Mrk 501C

1 Introduction

The broadband spectral energy distributions (SEDs) of blazars can be characterized by a double-peak structure extending from radio frequencies to the γ\gamma-ray energies (Abdo et al., 2010a; Giommi et al., 2012; Acciari et al., 2021b). The low-energy peak located in the infrared to X-ray range is interpreted as synchrotron emission from non-thermal relativistic electrons accelerated in jets. Based on the position of the synchrotron peak (νpk\nu_{\rm pk}), blazars are divided into high-synchrotron-peaked (HSP; νpk>1015\nu_{\rm pk}>10^{15} Hz), intermediate-synchrotron-peaked (ISP; 1014<νpk<101510^{14}<\nu_{\rm pk}<10^{15} Hz), and low-synchrotron-peaked (LSP; νpk<1014\nu_{\rm pk}<10^{14} Hz) blazars (Abdo et al., 2010b). The high-energy peak, located at γ\gamma-ray energies, can be well explained by leptonic models. γ\gamma-ray photons from HSPs are usually generated via inverse-Compton (IC) scattering the synchrotron photons by the same electron population that produces the synchrotron emission (SSC) (Maraschi, Ghisellini & Celotti, 1992; Yan, Zeng & Zhang, 2014).

Blazars exhibit fast and large-amplitude variability across the entire electromagnetic spectrum (e.g., Hayashida et al., 2012; Paliya, Sahayanathan & Stalin, 2015; Bartoli et al., 2016; Yan et al., 2018). However, the physical origin of the variability and the associated electron acceleration mechanism are currently not well understood. Diffusive shock acceleration (e.g., Drury, 1983; Kirk, Rieger & Mastichiadis, 1998; Summerlin & Baring, 2012) and stochastic acceleration (e.g., Dermer, Miller & Li, 1996; Katarzyński et al., 2006; Yan, Zeng & Zhang, 2012) are widely considered in blazar jets.

Mrk 501 is a famous TeV HSP (Quinn et al., 1996), which is intensively monitored by various astronomical detectors, from radio frequencies to TeV γ\gamma rays (e.g., Abdo et al., 2011; Neronov, Semikoz & Taylor, 2012; Shukla et al., 2015; Aleksić et al., 2015; Ahnen et al., 2018). Very recently, an extreme X-ray activity in July 2014 was reported by Acciari et al. (2020). During the flaring activity, the X-ray and TeV emissions have been found to be correlated, and the amplitude of the TeV variability is twice as large as that of the X-ray variability. This indicates that the leptonic model is most likely favored. Interestingly, a narrow feature at 3\sim 3 TeV was observed by MAGIC stereoscopic telescope on 2014 July 19 (MJD 56857.98), and the significance of this peak-feature is estimated to be 4σ\sim 4\sigma (Acciari et al., 2020). This kind of spectral feature is rare, which will provide insight into the underlying emission mechanism in the jet. Acciari et al. (2020) proposed several explanations for this narrow spectral feature, including pileup in the electron energy distribution due to stochastic acceleration and IC pair cascade induced by electrons accelerated in a magnetospheric vacuum gap. Wendel et al. (2021) provided details for IC pair cascade scenario.

Interestingly, Acciari et al. (2021a) reported that the X-ray flux measured by Swift-BAT in the 15-50 keV band is significantly higher than that expected from the simple extrapolation of the Swift-XRT spectral data for HSP Mrk 421 during MJD 57422-57429 (2016 February 4-11). This suggests an additional emission component beyond the single synchrotron emission (Acciari et al., 2021a). This BAT excess may be related to the presence of the additional (and narrow) component in the TeV spectrum of Mrk 501 (Acciari et al., 2021a). Actually, the results of NuSTAR data analysis have revealed possible excess in hard X-ray emission for Mrk 421 (Kataoka & Stawarz, 2016) and PKS 2155-304 (Madejski et al., 2016). These results may imply that the appearance of the occasional TeV narrow spectral feature is not unique in Mrk 501. The future improved TeV γ\gamma-ray detectors, such as Cherenkov Telescope Array (CTA; e.g., Actis et al., 2011; Acharya et al., 2013; Sol et al., 2013), would detect such a narrow sharp feature with high significance.

Our goal is to interpret the narrow feature at 3\sim 3 TeV of Mrk 501 during the extreme X-ray activity in 2014 July 19 in the framework of a one-zone leptonic model. This paper is structured as follows: we describe our model in Section 2 and results in Section 3, followed by the discussion and conclusions in Section 4.

2 Model

Our model assumes a single, homogenous emission region of radial size RR^{\prime}, which moves along the jet with bulk Lorentz factor Γ\Gamma. This region is assumed to filled with random magnetic field with the strength of BB^{\prime}. The accelerated electrons in the region will radiate photons through synchrotron and inverse-Compton (IC) scattering processes. For an observer located at a small viewing angle θobs\theta_{\rm obs} with respect to the jet, the radiative luminosity in the comoving frame is boosted by a factor of δD4\delta_{\rm D}^{4}, and the variability timescale is reduced by a factor of δD1\delta_{\rm D}^{-1} (e.g., Urry & Padovani, 1995). Here δD\delta_{\rm D} is the Doppler factor, which is given by δD=2Γ/(1+NΓ2)\delta_{\rm D}=2\Gamma/(1+N_{\Gamma}^{2}), where NΓΓθobsN_{\Gamma}\equiv\Gamma\theta_{\rm obs} (Dermer et al., 2014). The emitting region size is constrained by the causality condition: RctvarδD/(1+z)R^{\prime}\lesssim ct_{\rm var}\delta_{\rm D}/(1+z), where tvart_{\rm var} is the measured variability timescale and zz is the blazar redshift. It is usually assumed NΓ=1N_{\Gamma}=1, so that δD=Γ\delta_{\rm D}=\Gamma (e.g., Nalewajko, Begelman & Sikora, 2014).

In the model, we take into account the synchrotron self-absorption, as well as the absorption for γ\gamma-ray photons caused by the interaction with the internal synchrotron radiation field. The numerical method to calculate such emission spectra is the same as that in Dermer & Menon (2009). Throughout the paper, quantities in the comoving frame of the emission region are primed, and those in the stationary frame or observer’s frame are unprimed.

In the model, we do not distinguish the acceleration region from the emission region, and we assume that the distribution of relativistic emitting electrons is the result of the evolution of the injected electrons undergoing acceleration, energy losses and escape. To reduce the number of model parameters, the injection of electrons is assumed to be mono-energetic, which is given by the δ\delta-function

Q˙e,i(γ,t)\displaystyle\dot{Q}_{\rm e,i}(\gamma^{\prime},t^{\prime}) =\displaystyle= Linj,iδ(γγinj,i)Vγinj,imec2H(t;Ts,i,Tf,i),\displaystyle\frac{L_{\rm inj,i}^{\prime}\delta(\gamma^{\prime}-\gamma_{\rm inj,i}^{\prime})}{V^{\prime}\gamma^{\prime}_{\rm inj,i}m_{\rm e}c^{2}}H(t^{\prime};T_{\rm s,i}^{\prime},T_{\rm f,i}^{\prime}),\ (1)

where V=4πR3/3V^{\prime}=4\pi R^{\prime 3}/3 is the comoving volume of the emission region, mem_{\rm e} is the rest mass of an electron, Linj,iL_{\rm inj,i}, and γinj,i\gamma_{\rm inj,i}^{\prime} denote the luminosity and the Lorentz factor of the injected electrons respectively, with the start and finish times denoted by Ts,iT_{\rm s,i} and Tf,iT_{\rm f,i}, respectively. Here, H(x;a,b)H(x;a,b) denotes the Heaviside function defined by H=1H=1 if axba\leq x\leq b, and H=0H=0 everywhere else.

2.1 Electron Kinetic Equation

After the fresh electrons are injected into the blob, they gain energies through accelerations and loss energies through radiative processes, and they may also escape from the blob. The resulting electron energy distribution (EED) can be determined by solving a Fokker-Planck equation, which takes the form (e.g., Park & Petrosian, 1995)

Net=2γ2(12dσ2dtNe)γ(dγdtNe)Netesc+i=1mQ˙e,i,\frac{\partial N^{\prime}_{\rm e}}{\partial t^{\prime}}=\frac{\partial^{2}}{\partial\gamma^{\prime 2}}\left(\frac{1}{2}\frac{d\sigma^{\prime 2}}{dt^{\prime}}N^{\prime}_{\rm e}\right)-\frac{\partial}{\partial\gamma^{\prime}}\left(\langle\frac{d\gamma^{\prime}}{dt^{\prime}}\rangle N^{\prime}_{\rm e}\right)-\frac{N^{\prime}_{\rm e}}{t^{\prime}_{\rm esc}}+\sum_{\rm i=1}^{\rm m}\dot{Q}^{\prime}_{\rm e,i}, (2)

where the first coefficient 12dσ2dt\frac{1}{2}\frac{d\sigma^{\prime 2}}{dt^{\prime}} acts to broaden the shape of the particle distribution, and the second coefficient dγdt\langle\frac{d\gamma^{\prime}}{dt^{\prime}}\rangle represents the mean electron acceleration rate, and tesct^{\prime}_{\rm esc} is the escape timescale.

The term 12dσ2dt\frac{1}{2}\frac{d\sigma^{\prime 2}}{dt^{\prime}} is represented by the diffusion coefficient, which is associated with stochastic particle-wave interactions. In magnetohydrodynamic (MHD) turbulence, particles can exchange energy with resonant plasma waves, and the associated diffusion coefficient in the energy space is given by

Dγ=D0γq,D_{\gamma}=D_{0}\gamma^{\prime q},\ (3)

where qq represents the spectral index of the turbulent wave spectrum, and D0υA2λmaxq1(δBB)2D_{0}\propto\frac{\upsilon_{\rm A}^{2}}{\lambda_{\rm max}^{q-1}}\left(\frac{\delta B^{\prime}}{B^{\prime}}\right)^{2} is dominantly determined by the Alfvén speed (υA)\upsilon_{\rm A}) and the cutoff scale in the turbulence spectrum (λmax\lambda_{\rm max}), and the ratio of the turbulence energy density in the dominant wave mode relative to the energy density of the background field (δB2/B2\delta B^{\prime 2}/B^{\prime 2}) (e.g., Dermer, Miller & Li, 1996; Stawarz & Petrosian, 2008; O’Sullivan, Reville & Taylor, 2009).

Since the properties of the turbulences are highly uncertain (see Teraki & Asano, 2019; Demidem et al., 2020, and references therein). In this study, we use q=2q=2 to simulate hard sphere scattering between the MHD waves and the electrons. This leads the acceleration timescale independent of the energy of electrons. For resonant scattering by the Alfvén waves, the index q=2q=2 may be supported by the numerical simulations of freely decaying MHD turbulence (Christensson, Hindmarsh & Brandenburg, 2001; Brandenburg, Kahniashvili & Tevzadze, 2015). It should be pointed out that q=2q=2 may be consistent with the nonresonant acceleration (Lynn et al., 2014; Teraki & Asano, 2019; Demidem et al., 2020)

The mean acceleration rate is written as

dγdt=γ˙sto+γ˙sh+γ˙rad,\langle\frac{d\gamma^{\prime}}{dt^{\prime}}\rangle=\dot{\gamma}^{\prime}_{\rm sto}+\dot{\gamma}^{\prime}_{\rm sh}+\dot{\gamma}^{\prime}_{\rm rad}\ ,\ (4)

where γ˙sto\dot{\gamma}^{\prime}_{\rm sto}, γ˙sh\dot{\gamma}_{\rm sh}^{\prime} and γ˙rad\dot{\gamma}_{\rm rad}^{\prime} denote the mean rate of change of the electron energy due to stochastic particle-wave interactions, shock acceleration and radiative cooling processes, respectively. The acceleration rate due to stochastic particle-wave interactions is given by (e.g., Dermer, Miller & Li, 1996; Becker et al., 2006)

γ˙sto=1γ2ddγ(γ2Dγ)=4D0γ,\dot{\gamma}^{\prime}_{\rm sto}=\frac{1}{\gamma^{\prime 2}}\frac{d}{d\gamma^{\prime}}\left(\gamma^{\prime 2}D_{\gamma}\right)=4D_{0}\gamma^{\prime}, (5)

and the acceleration rate due to repeated interactions with shock waves is given by (Drury, 1983; Schlickeiser, 1984)

γ˙sh=Ashγ,\dot{\gamma}^{\prime}_{\rm sh}=A_{\rm sh}\gamma^{\prime}, (6)

where Ashκush2/KA_{\rm sh}\propto\kappa u_{\rm sh}^{\prime 2}/K_{\parallel} is mainly related with the volume filling factor of shock waves (κ\kappa), the speed of shock waves moving through plasma (ushu_{\rm sh}^{\prime}) and the spatial diffusion coefficient (KK_{\parallel} ).

To minimize the number of model parameters that are difficult to be constrained by the observed broadband SED, we treat D0D_{0} and AshA_{\rm sh} as physical parameters, which control the acceleration efficiency. Since both the shock and stochastic acceleration rates are linearly dependent on energy. In our approach, AshA_{\rm sh} is expressed as Ash=4aD0A_{\rm sh}=4aD_{0}, and therefore aa describes the relative importance of shock acceleration compared with the stochastic acceleration process. When a>1a>1, shock acceleration dominates; otherwise, stochastic acceleration dominates. Then, the total acceleration timescale due to the incorporation of the shock and stochastic acceleration processes can be expressed as

tacc=γγ˙sto+γ˙sh=14D0(1+a).t^{\prime}_{\rm acc}=\frac{\gamma^{\prime}}{\dot{\gamma}^{\prime}_{\rm sto}+\dot{\gamma}^{\prime}_{\rm sh}}=\frac{1}{4D_{0}(1+a)}. (7)

The diffusion rate parameter D0D_{0} can be evaluated using tacct^{\prime}_{\rm acc} and aa by inverting the above equation to obtain D0=[4(1+a)tacc]1D_{0}=[4(1+a)t_{\rm acc}^{\prime}]^{-1}, and therefore we obtain

12dσ2dt=γ24(1+a)tacc,γ˙sto=γ(1+a)tacc,γ˙sh=aγ(1+a)tacc.\frac{1}{2}\frac{d\sigma^{\prime 2}}{dt^{\prime}}=\frac{\gamma^{\prime 2}}{4(1+a)t_{\rm acc}^{\prime}},~{}\dot{\gamma}^{\prime}_{\rm sto}=\frac{\gamma^{\prime}}{(1+a)t_{\rm acc}^{\prime}},~{}\dot{\gamma}^{\prime}_{\rm sh}=\frac{a\gamma^{\prime}}{(1+a)t_{\rm acc}^{\prime}}. (8)

The radiative cooling rate of the accelerated electrons due to synchrotron and SSC processes can be written as the sum γ˙rad=(bsyn+bssc)γ2\dot{\gamma}^{\prime}_{\rm rad}=-(b_{\rm syn}+b_{\rm ssc})\gamma^{\prime 2}, and

bsyn\displaystyle b_{\rm syn} =\displaystyle= 4cσT3mec2UB,\displaystyle\frac{4c\sigma_{\rm T}}{3m_{e}c^{2}}U^{\prime}_{\rm B}, (9)
bssc\displaystyle b_{\rm ssc} =\displaystyle= 4cσT3mec20usyn(ϵ)fkn(ϵ,γ)𝑑ϵ,\displaystyle\frac{4c\sigma_{\rm T}}{3m_{e}c^{2}}\int_{0}^{\infty}u^{\prime}_{syn}(\epsilon^{\prime})f_{kn}(\epsilon^{\prime},\gamma^{\prime})d\epsilon^{\prime}, (10)

where cc is the speed of light, σT\sigma_{\rm T} is the Thomson cross-section, UBB2/8πU_{\rm B}^{\prime}\equiv B^{\prime 2}/8\pi denotes the energy density of the magnetic field, usyn(ϵ)u_{\rm syn}^{\prime}(\epsilon^{\prime}) denotes the energy density of the synchrotron radiation field, and the function fkn(ϵ,γ)f_{kn}(\epsilon^{\prime},\gamma^{\prime}) denotes the integration of the Compton kernel (Jones, 1968), fully taking into account Klein-Nishina (KN) effects for an isotropic seed photon field (e.g., Dermer & Menon, 2009; Hu et al., 2020).

Using the relation between the energy-diffusion coefficient and the spatial diffusion coefficient, DγK=γ2βA2c2/9D_{\gamma}K_{\parallel}=\gamma^{\prime 2}\beta_{\rm A}^{2}c^{2}/9 (Schlickeiser, 1984, 1985), the escape timescale can be evaluated as

tescR2K=9tdyn24(1+a)taccβA2,t^{\prime}_{\rm esc}\simeq\frac{R^{\prime 2}}{K_{\parallel}}=\frac{9t^{\prime 2}_{\rm dyn}}{4(1+a)t^{\prime}_{\rm acc}\beta_{\rm A}^{2}}, (11)

with tdyn=R/ct^{\prime}_{\rm dyn}=R^{\prime}/c and βA\beta_{\rm A} denoting the dynamical timescale and the Alfvén velocity normalized to the speed of light, respectively

Due to the fact that the diffusive escape velocity of electrons can not exceed the speed of light in vacuum, i.e., tesc>tdynt_{\rm esc}^{\prime}>t^{\prime}_{\rm dyn}, one naturally obtains the condition

tacctesc<tacctdyn<94(1+a)βA2.\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm esc}}<\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm dyn}}<\frac{9}{4(1+a)\beta_{\rm A}^{2}}. (12)

The Fokker-Planck equation is numerically solved through an implicit Crank-Nichelson (CN) scheme, which has the advantage of being unconditionally stable. We use a time step Δt=0.02tdyn\Delta t^{\prime}=0.02t^{\prime}_{\rm dyn} 111To obtain a precise result at any given time, the time step should be far smaller than the characteristic acceleration and the dominant energy loss timescales of the electrons radiating at the peak of the observed SED. Using Eq. 14, we can find tsyn=tacc0.2tdynt^{\prime}_{\rm syn}=t^{\prime}_{\rm acc}\simeq 0.2t^{\prime}_{\rm dyn} for the typical values of the parameters used in our model. and a 6000 point energy grid over the range 1γ1071\leq\gamma^{\prime}\leq 10^{7} in our code.

2.2 Equilibrium electron spectrum for single injection

The EED could achieve an approximate equilibrium, representing a balance between the competing processes of acceleration, cooling losses, electron injection and escape. A useful quantity is the equilibrium Lorentz factor, γeq\gamma_{\rm eq}^{\prime}, which is determined from a balance between acceleration and cooling losses. Because of the Klein–Nishina effect, synchrotron radiation dominates the cooling effect at γeq\sim\gamma_{\rm eq}^{\prime} even if we include the SSC cooling. Thus, we approximately have the equilibrium electron Lorentz factor

γeq=[bsyntacc]1.\gamma_{\rm eq}^{\prime}=[b_{\rm syn}t_{\rm acc}^{\prime}]^{-1}. (13)

Using the δ\delta-function approximation for the observed synchrotron peak frequency, νpk=ν0BδDγpk2\nu_{\rm pk}=\nu_{0}B^{\prime}\delta_{\rm D}\gamma_{\rm pk}^{\prime 2}, and assuming that γeq\gamma_{\rm eq}^{\prime} could be approximately equal to γpk\gamma_{\rm pk}^{\prime}, we find that the ratio of the acceleration timescale to the dynamical timescale is given by

tacctdyn\displaystyle\frac{t_{\rm acc}^{\prime}}{t^{\prime}_{\rm dyn}} =\displaystyle= (tdynbsyn)1(νpkν0BδD)1/20.173(1+z)1/2\displaystyle\left(t^{\prime}_{\rm dyn}b_{\rm syn}\right)^{-1}\left(\frac{\nu_{\rm pk}}{\nu_{0}B^{\prime}\delta_{\rm D}}\right)^{-1/2}\simeq 0.173(1+z)^{1/2}
×\displaystyle\times (B0.1G)32(δD10)12(tvar1day)1(νpk1018Hz)12\displaystyle\left(\frac{B^{\prime}}{0.1~{}\rm G}\right)^{-\frac{3}{2}}\left(\frac{\delta_{\rm D}}{10}\right)^{-\frac{1}{2}}\left(\frac{t_{\rm var}}{1~{}\rm day}\right)^{-1}\left(\frac{\nu_{\rm pk}}{10^{18}~{}\rm Hz}\right)^{-\frac{1}{2}}

where ν0=4mec2/3hBcr(1+z)\nu_{0}=4m_{\rm e}c^{2}/3hB_{\rm cr}(1+z) with Bcr4.41×1013B_{\rm cr}\simeq 4.41\times 10^{13} G denoting the critical magnetic field strength.

The time required for establishing equilibrium is approximately evaluated through (Appendix A)

teqtdyn2tacctdynln(γeq/γinj),\frac{t^{\prime}_{\rm eq}}{t^{\prime}_{\rm dyn}}\simeq 2\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm dyn}}\ln(\gamma^{\prime}_{\rm eq}/\gamma^{\prime}_{\rm inj}), (15)

where γinj\gamma^{\prime}_{\rm inj} is the Lorentz factor of injected electrons.

In the following, we present the approximate equilibrium distributions at teqt^{\prime}_{\rm eq} for the impulsive and continual injections of mono-energetic electrons. For the cooling process, we take into account the synchrotron energy loss alone. We inject a mono-energetic electron distribution with γinj=102\gamma^{\prime}_{\rm inj}=10^{2}.

2.2.1 Impulsive Injection

Refer to caption
Figure 1: Equilibrium EEDs (solid lines in upper panel) and the corresponding synchrotron spectra produced by the three EEDs (lower panel) in the case of impulsive injection with inefficient escape. The evolution of EED for a=10a=10 is also showed (dotted lines in upper panel). The used model parameters can be found in context.

In the case of impulsive injection with inefficient escape, the electrons can reach the equilibrium between acceleration and energy losses. In the case, the electron injection luminosity, LinjL_{\rm inj}^{\prime}, can be related with several observables, which is given by (Appendix B)

Linj4πdL2Fsyn(νpk/ν0)γinjBΔTinjbsynδD3L_{\rm inj}^{\prime}\simeq\frac{4\pi d_{L}^{2}F_{\rm syn}}{(\nu_{\rm pk}/\nu_{0})}\frac{\gamma_{\rm inj}^{\prime}B^{\prime}}{\Delta T_{\rm inj}^{\prime}b_{\rm syn}\delta_{\rm D}^{3}} (16)

where ΔTinj\Delta T_{\rm inj}^{\prime} is the duration of injection and FsynF_{\rm syn} denotes the total flux of the synchrotron bump 222FsynF_{\rm syn} should be a factor of a few larger than the synchrotron peak flux FsynpkF_{\rm syn}^{\rm pk} in the ννFν\nu-\nu F_{\nu} space. The accurate relation between FsynF_{\rm syn} and FsynpkF_{\rm syn}^{\rm pk} depends on the detail shape of the equilibrium distribution..

In Fig. 1, we plot the equilibrium electron spectrum (solid lines in upper panel) and the corresponding synchrotron spectra produced by the three EEDs. Moreover, the temporal evolution of electron spectrum for a=10a=10 is shown in the upper panel of Fig. 1. In our simulations, we set ΔTinj=Δt\Delta T^{\prime}_{\rm inj}=\Delta t^{\prime} to mimic the instantaneous injection, and the other parameters are: B=0.1G,δD=10,βA=0.1,tvar=0.3day,νpk=1018HzB^{\prime}=0.1~{}\rm G,~{}\delta_{D}=10,~{}\beta_{\rm A}=0.1,~{}t_{\rm var}=0.3~{}\rm{day},~{}\nu_{\rm pk}=10^{18}~{}\rm{Hz} and Fsyn=109ergs/cm2/sF_{\rm syn}=10^{-9}~{}\rm ergs/cm^{2}/s. For the given values of the parameters, we can obtain γeq5.3×105,Linj1.5×1039ergs/s\gamma^{\prime}_{\rm eq}\simeq 5.3\times 10^{5},~{}L^{\prime}_{\rm inj}\simeq 1.5\times 10^{39}~{}\rm ergs/s, tacc/tdyn0.58t^{\prime}_{\rm acc}/t^{\prime}_{\rm dyn}\simeq 0.58, teq/tdyn5t^{\prime}_{\rm eq}/t^{\prime}_{\rm dyn}\simeq 5, and tesc/tdyn350,192,35t^{\prime}_{\rm esc}/t^{\prime}_{\rm dyn}\simeq 350,192,35 for a=0.1,1,10a=0.1,~{}1,~{}10, respectively.

It can be seen from Fig. 1 that the width of the equilibrium distribution increases with decreasing of aa. When the shock acceleration is mainly responsible for the energy gain of electrons, e.g., a=10a=10, all the electrons will be accelerated to the equilibrium energy gradually, and a quasi-monoenergetic population of electrons is produced around the equilibrium energy. This is different from that produced in the case of the stochastic acceleration, where a quasi–Maxwellian distribution is formed (also see Katarzyński et al., 2006; Tramacere, Massaro & Taylor, 2011). Note that the pileup distribution has been successfully employed to reproduce the hard spectra of γ\gamma-ray emission observed in several TeV blazars (Lefa et al., 2011; Asano et al., 2013).

It should be pointed out that the equilibrium distribution can be treated to be stationary as long as the equilibration timescale teqtesct^{\prime}_{\rm eq}\ll t^{\prime}_{\rm esc}. On the other hand, we stress that the choice of γinj\gamma^{\prime}_{\rm inj} cannot affect the equilibrium electron spectrum.

2.2.2 Continuous injection

Refer to caption
Figure 2: Equilibrium EEDs (upper panel) and the corresponding synchrotron spectra produced by the EEDs (lower panel) in the case of continuous injection. The thin solid and thick dashed lines represent a=10a=10 and a=0.1a=0.1, respectively.

In the case of continuous injection, the competition between the acceleration and the escape can produce a power-law distribution when γγeq\gamma^{\prime}\ll\gamma_{\rm eq}^{\prime}. The power-law index of the equilibrium distribution is given by (Appendix C)

n=(12+2a)(32+2a)2+4(1+a)tacctesc.n=\left(\frac{1}{2}+2a\right)-\sqrt{\left(\frac{3}{2}+2a\right)^{2}+4(1+a)\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm esc}}}. (17)

Therefore, we can obtain

tacctesc=n2(1+4a)n(2+4a)4(1+a),\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm esc}}=\frac{n^{2}-(1+4a)n-(2+4a)}{4(1+a)},\ (18)

with a given value of aa and nn. Subsequently, we can calculate the Alfvén velocity by inverting Equation 11, which yields

βA=321+a(tacctesc)1/2(tacctdyn)1,\beta_{A}=\frac{3}{2\sqrt{1+a}}\left(\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm esc}}\right)^{1/2}\left(\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm dyn}}\right)^{-1},\ (19)

where tacc/tdynt^{\prime}_{\rm acc}/t^{\prime}_{\rm dyn} is derived through Equation 2.2. It is worth stressing that tacc/tdynt^{\prime}_{\rm acc}/t^{\prime}_{\rm dyn} and tacc/tesct^{\prime}_{\rm acc}/t^{\prime}_{\rm esc} should satisfy the requirement of the Inequality 12.

In Fig. 2, we show the equilibrium EEDs (upper panel), together with the corresponding synchrotron spectra produced by the EEDs. For comparison, two values of a=0.1a=0.1 and a=10a=10 are adopted in the simulations, and the produced synchrotron spectra are normalized to their peak flux. To satisfy the requirement of Inequality 12 , the magnetic field strength BB^{\prime} is assumed to be 0.04 G, while the values of tvar,νpk,δDt_{\rm var},~{}\nu_{\rm pk},~{}\delta_{\rm D} are same as that in the impulsive injection. We use Linj=1039L^{\prime}_{\rm inj}=10^{39} ergs/s. With respect to the impulsive injection, we can use nn as a model parameter which can be estimated by the spectral index of the observed synchrotron emission.

With the given values of the parameters, the characteristic acceleration and equilibrium times obtained in the tests are tacc/tdyn2.32t^{\prime}_{\rm acc}/t^{\prime}_{\rm dyn}\simeq 2.32 and teq/tdyn42t^{\prime}_{\rm eq}/t^{\prime}_{\rm dyn}\simeq 42, respectively. When the stochastic acceleration dominated, i.e., a=0.1a=0.1, we obtain (tacc/tesc,βA)=(1.0,0.62)(t^{\prime}_{\rm acc}/t^{\prime}_{\rm esc},~{}\beta_{\rm A})=(1.0,0.62), (0.44,0.41)(0.44,0.41) and (0.08,0.17)(0.08,0.17), for n=2.0n=-2.0, 1.5-1.5 and 1.1-1.1 respectively. When the shock acceleration dominates, i.e., a=10a=10, we obtain (tacc/tesc,βA)=(1.0,0.19)(t^{\prime}_{\rm acc}/t^{\prime}_{\rm esc},~{}\beta_{\rm A})=(1.0,0.19), (0.49,0.14)(0.49,0.14) and (0.1,0.06)(0.1,0.06), for n=2.0n=-2.0, 1.5-1.5 and 1.1-1.1, respectively. These indicate that the stochastic acceleration needs more inefficient escape to provide the required slope of electron spectrum. It is consistent with the fact the shock acceleration is more efficient than the stochastic acceleration.

One can see that in the stochastic acceleration case, the electron distribution close to the equilibrium energy can be described by a power-law turning into a log-parabola (PLLP) shape, which is consistent with previous studies (e.g., Tramacere, Massaro & Taylor, 2011; Yan, Zeng & Zhang, 2012); while, a very sharp cut-off above the equilibrium energy is formed in the shock acceleration. Thus, the produced synchrotron spectrum above the peak frequency drops much more rapidly than that produced by the EEDs resulting from the stochastic acceleration.

Refer to caption
Figure 3: Modeling the broadband SED of Mrk 501 during 2014 July 19 (MJD 56857.98). The synchrotron-SSC emissions at tevo=Tf,2=2.74tdynt^{\prime}_{\rm evo}=T^{\prime}_{\rm f,2}=2.74t^{\prime}_{\rm dyn} (black solid line) and tevo=Tf,2=1.54tdynt^{\prime}_{\rm evo}=T^{\prime}_{\rm f,2}=1.54t^{\prime}_{\rm dyn} (olive line) are presented in the left panel. The EEDs at tevo=Tf,2=2.74tdynt^{\prime}_{\rm evo}=T^{\prime}_{\rm f,2}=2.74t^{\prime}_{\rm dyn} (black solid line) and tevo=Tf,2=1.54tdynt^{\prime}_{\rm evo}=T^{\prime}_{\rm f,2}=1.54t^{\prime}_{\rm dyn} (green line) are presented in the top right panel. In the left panel, we also present components in the SSC model at tevo=Tf,2=2.74tdynt^{\prime}_{\rm evo}=T^{\prime}_{\rm f,2}=2.74t^{\prime}_{\rm dyn}. The gray dashed and dotted lines denote the synchrotron emission from the PL branch and pileup shape in the emitting EED, respectively. The corresponding SSC are denoted by the blue dashed and dotted lines, respectively. The magenta dotted line denotes the component that the synchrotron photons produced by the electrons of the pile-up branch are scattered by the electrons of the PL branch via IC scattering. The magenta dashed line denotes the component that the synchrotron photons produced by the electrons of the PL branch are scattered by the electrons of the pileup branch via IC scattering. The lower right panel shows the zoom-in view of the VHE SED. The Fermi-LAT data for 4 and 10 days time intervals are denoted by the black and green triangles, respectively. The MAGIC data from 0.1 TeV to 10 TeV have been corrected for EBL absorption according to the model of Domínguez et al. 2011. The X-ray data from Swift-XRT and Swift-BAT and VHE data can be safely considered simultaneous. Details about the data can be found in Acciari et al. 2020.
Refer to caption
Figure 4: Same as Fig.3, except that the first population of electrons is continuously injected.

3 Application to Mrk 501

Table 1: Model parameters: the radius of the blob RR^{\prime} is determined by the causality relation (in unit of cm); the observed variability timescale tvart_{\rm var} is in unit of day; the magnetic field strength BB^{\prime} is in unit of G; the Alfvén velocity βA\beta_{\rm A} is in unit of the light speed; the diffusion coefficient D0D_{0} is inferred by Eq. 7 (in unit of s1\rm s^{-1}); the acceleration timescale tacct^{\prime}_{\rm acc} is determined by Eq. 2.2; the peak frequency νpk,1\nu_{\rm pk,1} is in unit of Hz; the total flux of the synchrotron bump Fsyn,1F_{\rm syn,1} is in unit of ergs/cm2/s\rm ergs/cm^{2}/s; the electron injection luminosity Linj,1/2L^{\prime}_{\rm inj,1/2}, in unit of ergs/s, is derived by Eq. 16; γeq\gamma^{\prime}_{\rm eq} and γpk,2\gamma^{\prime}_{\rm pk,2} are the electron Lorentz factor corresponding to νpk,1=5×1018\nu_{\rm pk,1}=5\times 10^{18} Hz and νpk,2=5×1016\nu_{\rm pk,2}=5\times 10^{16} Hz, respectively. The equilibrium timescale teqt^{\prime}_{\rm eq} and the escape timescale tesct^{\prime}_{\rm esc} are determined by Eq. 15 and Eq. 11, respectively. Note that all the timescales are in unit of the dynamical timescale tdynt^{\prime}_{\rm dyn}.
Model A B C D
RR^{\prime} 2.01×10162.01\times 10^{16} 2.01×10162.01\times 10^{16} 2.51×10162.51\times 10^{16} 3.01×10163.01\times 10^{16}
tvar\rm t_{\rm var} 1.0 1.0 1.0 1.0
βA\beta_{\rm A} 0.030.03 0.030.03 0.030.03 0.030.03
aa 7.0 7.0 3.0 3.0
BB^{\prime} 5.9×1025.9\times 10^{-2} 5.9×1025.9\times 10^{-2} 3.6×1023.6\times 10^{-2} 2.0×1022.0\times 10^{-2}
δD\delta_{\rm D} 8.0 8.0 10.010.0 12.012.0
D0D_{0} 2.4×1072.4\times 10^{-7} 2.4×1072.4\times 10^{-7} 2.05×1072.05\times 10^{-7} 7.76×1087.76\times 10^{-8}
tacct^{\prime}_{\rm acc} 0.190.19 0.190.19 0.360.36 0.80.8
νpk,1\nu_{\rm pk,1} 5×10185\times 10^{18} 5×10185\times 10^{18} 5×10185\times 10^{18} 5×10185\times 10^{18}
Fsyn,1F_{\rm syn,1} 3×1093\times 10^{-9} 4.8×1094.8\times 10^{-9} 3×1093\times 10^{-9} 3×1093\times 10^{-9}
teqt^{\prime}_{\rm eq} 3.083.08 3.083.08 5.895.89 13.3213.32
tesct^{\prime}_{\rm esc} 1.6×1031.6\times 10^{3} 1.6×1031.6\times 10^{3} 1.7×1031.7\times 10^{3} 7.8×1027.8\times 10^{2}
γeq\gamma_{\rm eq}^{\prime} 1.71×1061.71\times 10^{6} 1.71×1061.71\times 10^{6} 1.96×1061.96\times 10^{6} 2.40×1062.40\times 10^{6}
γpk,2\gamma_{\rm pk,2}^{\prime} 1.71×1051.71\times 10^{5} 1.71×1051.71\times 10^{5} 1.96×1051.96\times 10^{5} 2.40×1052.40\times 10^{5}
γinj,1\gamma_{\rm inj,1}^{\prime} 6×1026\times 10^{2} 6×1026\times 10^{2} 6×1026\times 10^{2} 6×1026\times 10^{2}
Linj,1L_{\rm inj,1}^{\prime} 6.58×10396.58\times 10^{39} 1.37×10381.37\times 10^{38} 4.43×10394.43\times 10^{39} 3.86×10393.86\times 10^{39}
Tf,1T_{\rm f,1}^{\prime} 0.020.02 1.541.54 0.02 0.02
γinj,2\gamma_{\rm inj,2}^{\prime} 6×1026\times 10^{2} 6×1026\times 10^{2} 6×1026\times 10^{2} 6×1026\times 10^{2}
Linj,2L_{\rm inj,2}^{\prime} 11.5×103911.5\times 10^{39} 10.88×103910.88\times 10^{39} 6.5×10396.5\times 10^{39} 2.47×10392.47\times 10^{39}
Ts,2T_{\rm s,2}^{\prime} 1.541.54 1.541.54 2.942.94 6.666.66
Tf,2T_{\rm f,2}^{\prime} 2.742.74 2.742.74 5.105.10 11.5211.52

In this section, we explain the formation of the narrow spectral feature observed at \sim\ 3 TeV. We adopt a two-injection scenario.

In our model, the size of the source (RR^{\prime}), the characteristic acceleration time (tacct^{\prime}_{\rm acc}) and the luminosity of the first injection electrons (Linj,1L_{\rm inj,1}^{\prime}) could be derived from the relationships in Section 2 with the observed variability timescale (tvart_{\rm var}), the synchrotron peak frequency (νpk,1\nu_{\rm pk,1}), and the total flux of the synchrotron emission (Fsyn,1F_{\rm syn,1}). Therefore, we can describe the emission with the model parameters: B,δD,a,βA,tvarB^{\prime},~{}\delta_{\rm D},~{}a,~{}\beta_{\rm A},~{}t_{\rm var}, νpk,1,Fsyn,1\nu_{\rm pk,1},~{}F_{\rm syn,1} ,γinj,1,Ts,1,Tf,1\gamma^{\prime}_{\rm inj,1},~{}T^{\prime}_{\rm s,1},~{}T^{\prime}_{\rm f,1}, γinj,2,Linj,2\gamma_{\rm inj,2}^{\prime},~{}L^{\prime}_{\rm inj,2}, Ts,2T^{\prime}_{\rm s,2} and Tf,2T^{\prime}_{\rm f,2}.

The shortest variability found in the MWL data sample is on the order of one day (Acciari et al., 2020), we therefore use tvar=1t_{\rm var}=1 day. Since we consider a very inefficient electron escape from the blob, we fix βA\beta_{\rm A} to 0.03, which is compatible with the quasi-linear theory (e.g., Becker et al., 2006). We fix γinj,1=γinj,2=600\gamma_{\rm inj,1}^{\prime}=\gamma_{\rm inj,2}^{\prime}=600. The values of γinj,1\gamma_{\rm inj,1}^{\prime} and γinj,2\gamma_{\rm inj,2}^{\prime} have negligible effect on the SSC emission. We set Ts,1=0T^{\prime}_{\rm s,1}=0 and Tf,1=Δt=0.02R/cT^{\prime}_{\rm f,1}=\Delta t^{\prime}=0.02R^{\prime}/c for the impulsive injection. When the first injection electrons are accelerated to be close to half of the equilibrium energy, we start the second injection. In our test, we find that Ts,2T^{\prime}_{\rm s,2} is not sensitive in modeling the SED. The time interval between the two injections can be estimated by Equation 24. The remaining parameters are free.

Fig. 3 shows SSC modeling to the observed SED of Mrk 501 during 2014 July 19 (MJD 56857.98). The values of the parameters are given in Table 1 (Model A), in which we list all input parameters and the physical quantities associated with our model. As shown in the figure, our modeling can reproduce the observed SED well when we select the evolution time tevo=Tf,2=2.74tdynt^{\prime}_{\rm evo}=T^{\prime}_{\rm f,2}=2.74t^{\prime}_{\rm dyn}. We note that the optical-UV flux produced by the theoretical model is lower than the observed data. However, it may be consistent with the variability behavior of MWL observations, which showed that the variability in the optical-UV bands is much lower than that in X-ray and TeV energies (Acciari et al., 2020). This indicates that the optical-UV emissions have another origin.

We separate contributions of the different segments of the electron spectrum IC scattering different segments of the synchrotron photons. The results indicate that the narrow TeV bump at \sim 3 TeV is the contribution from the pileup bump of electrons IC scattering synchrotron photons produced by the power-law branch of electrons. Moreover, the high flux observed by Swift-BAT above 10 keV is interpreted as the synchrotron emission of the pileup bump of electrons which is resulting from the first injection, while the X-rays below 1\sim 1 keV is dominated by the contribution of the power-law branch of electrons resulting from the second injection. The peak frequency of the synchrotron emission produced by the power-law branch is located at νpk,25×1016\nu_{\rm pk,2}\simeq 5\times 10^{16} Hz. With the given values of BB^{\prime} and δD\delta_{\rm D} reported in Table 1, one can obtain γpk,21.7×105\gamma_{\rm pk,2}^{\prime}\simeq 1.7\times 10^{5}, which is in good agreement with that obtained in the slow cooling model proposed by Acciari et al. (2020). It should be noted that our results are obtained by using a self-consistent physical model. Moreover, it is interesting to note that the shock acceleration rather than the stochastic acceleration is required to be dominant, i.e., a¿1.

To illustrate the impact of duration of the first injection, we also display the result of the SED modeling with Tf,1=Ts,2T^{\prime}_{\rm f,1}=T^{\prime}_{\rm s,2} in Fig. 4 with the parameters values listed in Table 1 (Model B). We have not found a significant difference between Model A and Model B. The pileup structure in the EED can be formed in both continuous and impulsive injections.

4 Discussion and Conclusions

In this work, the emitting electron distribution is determined by numerically solving a Fokker-Planck equation that self-consistently incorporates both shock and stochastic acceleration processes, radiative losses, as well as synchrotron self-absorption and internal γγ\gamma\gamma absorption.

In the model, the parameters aa, BB^{\prime}, δD\delta_{\rm D} and Tf,2T^{\prime}_{\rm f,2} are four key physical quantities to reproduce the observed SED. In the following, we examine the impact of the four parameters on SED modeling.

In Fig. 5, we show the modeling results with varying aa. The narrow feature is not visible when the stochastic acceleration dominates over the shock acceleration, i.e., a<1a<1. The necessary condition for the formation of the pile-up in electron distribution is that the electrons are well confined within the emission zone (i.e., an inefficient electron escape). Additionally, two injection episodes of electrons are required to reproduce the SED of Mrk 501. Therefore, the narrow feature in the TeV energies disappears naturally if the electron escape effect will be important (i.e., efficient escape scenario), and/or the first population of electrons can be neglected (i.e., a single-injection scenario). In those cases, the broadband SEDs reported in Acciari et al. (2020) without the sharp TeV feature should be reproduced well following the prescription in Section 2.2.2.

A constraint on the Doppler factor δD\delta_{D} can be obtained from transparency of γ\gamma-rays due to pair production absorption (e.g., Zdziarski & Lightman, 1985; Finke, Dermer, & Böttcher, 2008; Yan, Zeng, & Zhang, 2012). Due to internal photon-photon annihilation, the optical depth for a γ\gamma-ray photon with observed energy EγE_{\gamma} can be estimated as (e.g., Abdo et al., 2011)

τγγ\displaystyle\tau_{\gamma\gamma} \displaystyle\simeq σTEγF0(1+z)2DL210tvarme2c6δD64.65×103\displaystyle\frac{\sigma_{T}E_{\gamma}F_{0}(1+z)^{2}D_{\rm L}^{2}}{10t_{\rm var}m_{\rm e}^{2}c^{6}\delta^{6}_{\rm D}}\simeq 4.65\times 10^{-3}
×\displaystyle\times (EγTeV)(F01011erg/cm2/s)(tvarday)1(δD10)6,\displaystyle\left(\frac{E_{\gamma}}{\rm TeV}\right)\left(\frac{F_{0}}{10^{-11}\rm erg/cm^{2}/s}\right)\left(\frac{t_{\rm var}}{\rm day}\right)^{-1}\left(\frac{\delta_{\rm D}}{10}\right)^{-6},\

where F0F_{0} is the observed monochromatic flux energy density at the observed photon energy

E02δD2me2c4Eγ(1+z)250(δD10)2(EγTeV)1eV.E_{0}\simeq\frac{2\delta_{\rm D}^{2}m_{\rm e}^{2}c^{4}}{E_{\gamma}(1+z)^{2}}\simeq 50\left(\frac{\delta_{\rm D}}{10}\right)^{2}\left(\frac{E_{\gamma}}{\rm TeV}\right)^{-1}~{}\rm eV. (21)

Using F03×1011erg/cm2/sF_{0}\simeq 3\times 10^{-11}~{}\rm erg/cm^{2}/s at the observed energy E011.3E_{0}\simeq 11.3 eV, one has τγγ(3TeV)0.16\tau_{\gamma\gamma}(3\rm TeV)\simeq 0.16 for the given value of δD=8\delta_{\rm D}=8. This implies that δD\delta_{\rm D} used in Model A is close to the lower limit given by the transparency of γ\gamma rays.

Motivated by the above results, two typical values of δD=10\delta_{\rm D}=10 and 12 are used, and they are referred as Model C and Model D, respectively. In Fig. 6, we compare the modeling results of Models A, C and D. The parameters are given in Table 1. We find that the location of the narrow feature moves to higher energy for higher value of δD\delta_{\rm D}, and a decrease of BB^{\prime} and an increasing of Tf,2T^{\prime}_{\rm f,2} is required to reproduce the TeV spectrum below 3 TeV. Meanwhile, a smaller value of a=3.0a=3.0 is also needed for matching the observed X-ray spectrum and TeV spectrum below 3\sim 3 TeV. It is worth noting that the duration of injection ΔTinj,2=Tf,2Ts,2\Delta T^{\prime}_{\rm inj,2}=T^{\prime}_{\rm f,2}-T^{\prime}_{\rm s,2} can be predicted from the relation

ΔTinj,2tdyntacctdynlnγpk,2γinj,2,\frac{\Delta T^{\prime}_{\rm inj,2}}{t^{\prime}_{\rm dyn}}\simeq\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm dyn}}\ln\frac{\gamma^{\prime}_{\rm pk,2}}{\gamma^{\prime}_{\rm inj,2}}, (22)

where γpk,2νpk,2ν0BδD\gamma^{\prime}_{\rm pk,2}\simeq\sqrt{\frac{\nu_{\rm pk,2}}{\nu_{0}B^{\prime}\delta_{\rm D}}} is the peak frequency of the synchrotron component below 1 keV. Using νpk,2=5×1016\nu_{\rm pk,2}=5\times 10^{16} Hz, we obtain that ΔTinj,2/tdyn\Delta T^{\prime}_{\rm inj,2}/t^{\prime}_{\rm dyn} is 1.12, 2.14 and 4.89 for Model A, C and D, respectively. These values are in good agreement with that obtained from the SED modeling.

We find that the global properties of the jet including BB^{\prime}, δD\delta_{\rm D} and RR^{\prime}, as well as γeq\gamma_{\rm eq}^{\prime} obtained in Model A are quite similar to that obtained by Acciari et al. (2020). Moreover, it can be seen from Table 1 that the value of the diffusion coefficient D0D_{0} is 2.4×107s12.4\times 10^{-7}~{}\rm s^{-1}. We find that similar result was obtained in other HBLs (e.g., Lewis, Becker & Finke, 2016) and Fermi bubbles (Sasaki, Asano & Terasawa, 2015).

In brief, we explain the broadband SED of Mrk 501 on 2014 July 19 by using a self-consistent one-zone leptonic jet model. In this model, the emitting EED is obtained by solving a Fokker-Planck equation including acceleration processes. Two injection episodes of electrons are needed to successfully explain the SED. The sharp and narrow spectral feature observed at \sim3 TeV is resulting from the pileup branch of electrons IC scattering synchrotron photons produced by the PL branch of electrons. The extremely high flux observed by Swift-BAT above 10 keV is interpreted as the synchrotron emission from the pileup bump of electrons. The pileup branch of electrons is the accelerated first-injection-electrons, and the PL branch of electrons is the accelerated second-injection-electrons. Moreover, we find that shock acceleration is required to dominate over the stochastic acceleration in modeling the narrow peak feature in TeV spectrum. This is different from the stochastic scenario proposed by Acciari et al. (2020).

The scenario of multiple injections of relativistic electrons has been proposed to provide a explanation for the extreme flux variabilities of blazars (Röken & Schlickeiser, 2009; Röken et al., 2018). Röken et al. (2018) argued that multiple-injection scenario is more realistic than single-injection scenario in blazar jets, as the blazar jets could extend over parsecs to tens of kiloparsecs scales, and thus likely pick up several electron populations from intergalactic media.

In principle, the narrow feature in the VHE spectrum of Mrk 501 is expected to be detected with high significance by CTA, which is designed to reach a sensitivity about an order of magnitude better than that of current imaging air Cherenkov telescopes and water Cherenkov telescopes (e.g., Actis et al., 2011; Acharya et al., 2013; Sol et al., 2013). The precise measurement of the TeV narrow feature by CTA could place strong constraints on the acceleration process working in the blazar jet.

Refer to caption
Figure 5: Theoretical SEDs produced by varying the parameter aa. The top panel shows the EEDs. The remaining panels show the synchrotron (middle) and the SSC (bottom) spectra.
Refer to caption
Figure 6: Theoretical SEDs of Models A, C, and D.

Acknowledgements

We acknowledge the National Natural Science Foundation of China (NSFC-11803081, NSFC-12065011) and the joint foundation of Department of Science and Technology of Yunnan Province and Yunnan University [2018FY001(-003)]. The work of D. H. Yan is also supported by the CAS Youth Innovation Promotion Association and Basic research Program of Yunnan Province (202001AW070013).

data availability

No new data were generated or analysed in support of this research.

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Appendix A Equilibrium Timescale

Once the values of the acceleration timescale tacct^{\prime}_{\rm acc} and the equilibrium Lorentz factor γeq\gamma^{\prime}_{\rm eq} have been obtained, we can compute the time needed for an electron with initial Lorentz factor γ0\gamma_{0}^{\prime} to be accelerated to γ\gamma^{\prime}, by integrating the mean acceleration rate without considering the SSC energy loss,

dγdt=(γeqtacc)1γ2+tacc1γ,\frac{d\gamma^{\prime}}{dt^{\prime}}=-(\gamma^{\prime}_{\rm eq}t^{\prime}_{\rm acc})^{-1}\gamma^{\prime 2}+t^{\prime-1}_{\rm acc}\gamma^{\prime}, (23)

which yields

ΔTd(γ0,γ)=taccln(γ0γeqγ0γγγeq),\Delta T_{\rm d}^{\prime}(\gamma_{0}^{\prime},\gamma^{\prime})=t_{\rm acc}^{\prime}\ln\left(\frac{\gamma_{0}^{\prime}-\gamma_{\rm eq}^{\prime}}{\gamma_{0}^{\prime}}\frac{\gamma^{\prime}}{\gamma^{\prime}-\gamma^{\prime}_{\rm eq}}\right), (24)

for γ0γ<γeq\gamma^{\prime}_{0}\leq\gamma^{\prime}<\gamma_{\rm eq}^{\prime}. Indeed, the expression can be written in the form ΔTd(γ0,γ)taccln(γ/γ0)\Delta T_{\rm d}^{\prime}(\gamma_{0}^{\prime},\gamma^{\prime})\simeq t_{\rm acc}^{\prime}\ln(\gamma^{\prime}/\gamma^{\prime}_{0}), when the acceleration dominates over the radiative cooling, i.e., γ0γγeq\gamma_{0}^{\prime}\leq\gamma^{\prime}\ll\gamma_{\rm eq}^{\prime}. Moreover, we have ΔTd(γ0,γ=γeq/2)taccln(γeq/γ0)\Delta T_{\rm d}^{\prime}(\gamma_{0}^{\prime},~{}\gamma^{\prime}=\gamma^{\prime}_{\rm eq}/2)\simeq t_{\rm acc}^{\prime}\ln(\gamma^{\prime}_{\rm eq}/\gamma^{\prime}_{\rm 0}).

Thus, the time teqt^{\prime}_{\rm eq} required for establishing equilibrium should be at least twice as much as ΔTd(γ0,γeq/2)\Delta T_{\rm d}^{\prime}(\gamma_{0}^{\prime},~{}\gamma^{\prime}_{\rm eq}/2). Here, we adopt a relatively conservative estimation teq=2taccln(γeq/γ0)t^{\prime}_{\rm eq}=2t_{\rm acc}^{\prime}\ln(\gamma^{\prime}_{\rm eq}/\gamma^{\prime}_{0}).

Appendix B Injection luminosity of electrons with inefficient escape

The total luminosity of the synchrotron bump, neglecting self-absorption correction, can be expressed as (Dermer & Menon, 2009)

Lsyn\displaystyle L_{\rm syn} =\displaystyle= mec2VδD4bsyn1γ2Ne(γ)𝑑γ\displaystyle m_{\rm e}c^{2}V^{\prime}\delta_{\rm D}^{4}b_{\rm syn}\int_{1}^{\infty}\gamma^{\prime 2}N_{\rm e}^{\prime}(\gamma^{\prime})d\gamma^{\prime}
=\displaystyle= mec2VδD4bsynγ2Ntot,\displaystyle m_{e}c^{2}V^{\prime}\delta_{\rm D}^{4}b_{\rm syn}\langle\gamma^{\prime 2}\rangle N^{\prime}_{\rm tot},

where γ2\langle\gamma^{\prime 2}\rangle is the mean value of γ2\gamma^{\prime 2} and NtotN^{\prime}_{\rm tot} is the total number of electrons.

Since a quasi-Maxwellian distribution or a quasi-monoenergetic distribution could be expected to be formed after impulsive electron injection. We approximately have the relation

γ2γpk2=νpkν0BδD,\langle\gamma^{\prime 2}\rangle\simeq\gamma_{\rm pk}^{\prime 2}=\frac{\nu_{\rm pk}}{\nu_{0}B^{\prime}\delta_{\rm D}}, (26)

where νpk\nu_{\rm pk} is the peak frequency of the observed synchrotron bump.

In the case of a very inefficient electron escape, one has

NtotLinjΔTinjVγinjmec2N^{\prime}_{\rm tot}\simeq\frac{L_{\rm inj}^{\prime}\Delta T_{\rm inj}^{\prime}}{V^{\prime}\gamma_{\rm inj}^{\prime}m_{\rm e}c^{2}} (27)

based on the conservation of electron number.

Then, we can obtain an expression for LinjL^{\prime}_{\rm inj} by combining Equations B, 26 and 27, which yields

Linj=LsynΔTinjbsynδD4γinjγpk24πdL2Fsyn(νpk/ν0)γinjBΔTinjbsynδD3L_{\rm inj}^{\prime}=\frac{L_{\rm syn}}{\Delta T_{\rm inj}^{\prime}b_{\rm syn}\delta_{\rm D}^{4}}\frac{\gamma_{\rm inj}^{\prime}}{\gamma_{\rm pk}^{\prime 2}}\simeq\frac{4\pi d_{L}^{2}F_{\rm syn}}{(\nu_{\rm pk}/\nu_{0})}\frac{\gamma_{\rm inj}^{\prime}B^{\prime}}{\Delta T_{\rm inj}^{\prime}b_{\rm syn}\delta_{\rm D}^{3}} (28)

where ΔTinj\Delta T_{\rm inj}^{\prime} denotes the duration of injection and FsynF_{\rm syn} denotes the total flux of the synchrotron bump.

Appendix C Approximate power-law solution

For the continual injection of monoenergetic electrons, the competition between the acceleration and the escape produces a power law distribution that extends from the injected Lorentz factor up to γeq\gamma_{\rm eq}^{\prime}. Following the method presented in Kroon et al. (2016), we can obtain the power-law index of the resulting equilibrium distribution, which is in form of Ne(γ)=N0γnN_{e}^{\prime}(\gamma^{\prime})=N_{0}\gamma^{\prime n}. By substituting the power-law form into Eq. 2, we can obtain a quadratic equation for nn, given by

n2(1+4a)n[2+4a+4ϵ(1+a)]=0,n^{2}-(1+4a)n-\left[2+4a+4\epsilon(1+a)\right]=0,\ (29)

where ϵ=tacctesc\epsilon=\frac{t^{\prime}_{\rm acc}}{t^{\prime}_{\rm esc}}. The solution to this equation is

n±=(1+4a)±(3+4a)2+16ϵ(1+a)2.n_{\pm}=\frac{(1+4a)\pm\sqrt{(3+4a)^{2}+16\epsilon(1+a)}}{2}. (30)

Here, the positive power-law index n+n_{+} applies below γinj\gamma_{\rm inj}^{\prime}, and the negative index nn_{-} applies for γinjγγeq\gamma^{\prime}_{\rm inj}\leq\gamma^{\prime}\ll\gamma_{\rm eq}^{\prime}. We find n(1/2)9/4+4ϵn_{-}\simeq(1/2)-\sqrt{9/4+4\epsilon} in the case of pure stochastic acceleration, i.e., a0a\rightarrow 0. In the case of pure shock acceleration, the power-law index nn_{-} can be written as

n=(12+2a)(11+212+2a+3ϵ+1+2ϵ(12+2a)(12+2a)2).n_{-}=\left(\frac{1}{2}+2a\right)\left(1-\sqrt{1+\frac{2}{\frac{1}{2}+2a}+\frac{3\epsilon+1+2\epsilon(\frac{1}{2}+2a)}{\left(\frac{1}{2}+2a\right)^{2}}}\right). (31)

Making a taylor expansion in terms of the small quantity y(12+2a)1y\equiv\left(\frac{1}{2}+2a\right)^{-1}, we obtain n1ϵn_{-}\simeq-1-\epsilon. This is in agreement with previous work (Kirk, Rieger & Mastichiadis, 1998).