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Implications of photon-ALP oscillations in the extragalactic neutrino source TXS 0506+056 at sub-PeV energies

Bhanu Prakash Pant pant.3@iitj.ac.in    Sunanda    Reetanjali Moharana reetanjali@iitj.ac.in    Sarathykannan S Department of Physics, Indian Institute of Technology Jodhpur, Karwar 342037, India.
Abstract

Photon-axion-like particle (ALP) oscillations result in the survival of gamma rays from distant sources above TeV energies. Studies of events observed by CAST, Fermi-LAT, and IACT have constrained the ALP parameters. We investigate the effect of photon-ALP oscillations on the gamma-ray spectra of the first extragalactic neutrino source, TXS 0506+056, for observations by Fermi-LAT and MAGIC around the IC170922-A alert. We obtain a constraint on the ALP coupling parameter gaγ<5×1011g_{a\gamma}<5\times 10^{-11} GeV-1 with 95% C.L. when focusing on the ALP mass range 0.1 neV \leq mam_{a} \leq 1000 neV. Importantly, we study the implications of ALP-γ\gamma oscillations on the counterpart γ\gamma rays of the sub-PeV neutrinos observed from TXS 0506+056. We also show the diffuse γ\gamma-ray fluxes and observabilities from flat-spectrum radio quasars, high-synchrotron peaked sources, and low-intermediate-synchrotron peaked sources, assuming similar gamma-ray emissions as that from TXS 0506+056.

I Introduction

Axion-like particles (ALPs) are pseudoscalar (spin-0) bosons with very light mass and are potential candidates for dark matter [1, 2]. The axions are also proposed to solve the CPCP problem in QCD [3, 4]. In the presence of an external magnetic field, ALPs can couple to photons via two coupling vertices which leads to the photon-ALP oscillation. In astrophysical environments, photon-ALP conversion drastically reduces the absorption of very-high-energy (VHE) photons by extragalactic background light (EBL) and the cosmic microwave background (CMB) through pair production above 100 GeV [5, 6, 7, 8, 9, 10].

This increased transparency can modulate and enhance the observed γ\gamma-ray spectra of the TeV photons originating from higher-redshift sources using observations of γ\gamma-ray spectra from VHE sources [11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] to set stringent constraints on the ALP mass, mam_{a}, and coupling constant gaγg_{a\gamma}. Interestingly, the recent observations of nearly 18-TeV photons by the Large High Altitude Air Shower Observatory (LHAASO) with the kilometer-square area (KM2A) [29] and an astonishing 251-TeV photon by Carpet-2 [30] from the long gamma-ray burst GRB 221009A at redshift 0.1505 has motivated the community to understand the survival of photons at this energy through ALP-photon oscillation [31, 32]. We note that the above-mentioned 251-TeV photon observed by Carpet-2 also has the candidate sources LHAASO J1929+1745 and 3HWC J1928+178, as reported in Ref. [33]. Most of these studies focused on photons at energies observed by the Imaging Atmospheric (or Air) Cherenkov Telescope (IACT). Observations from the axion flux of the Sun have also been studied by the CERN Axion Solar Telescope (CAST), giving the most stringent constraint on the ALP parameters, ma<0.01m_{a}<0.01 eV, gaγ<g_{a\gamma}< 6.6×\times10-11 GeV-1 [34, 35].

The effect of ALP-photon oscillation at sub-PeV energies and higher has recently been explored with Galactic diffuse gamma rays using High Altitude Water Cherenkov (HAWC), Tibet AS-γ\gamma, and LHAASO events, resulting in a limit of ma<2×107m_{a}<2\times 10^{-7} eV, gaγ<2.1×1011g_{a\gamma}<2.1\times 10^{-11} GeV-1 with 95% confidence limit (C.L.) [36], and excluding gaγ>3.97.8×1011g_{a\gamma}>3.9-7.8\times 10^{-11} GeV-1 for ma<4×107m_{a}<4\times 10^{-7} eV [37] at 95% C.L., respectively. The intrinsic photon flux would be different at these energies than at lower energies due to the addition of hadronic channels. With the observations of sub-PeV neutrinos, we may understand the energetics of the source.

In this work, we investigate the implications of photon-ALP oscillation for the first ever non-Galactic sub-PeV neutrino source [38] TXS 0506+056 situated at a redshift z0=0.3365z_{0}=0.3365 [39]. It was first discovered as a radio source [40] and later as high-energy gamma radiation with space missions, like the Energetic Gamma Ray Experiment Telescope and Fermi-Large Area Telescope (Fermi-LAT)[41, 42, 43]. On September 22, 2017 (IC170922-A), the IceCube Neutrino Observatory detected a very-high-energy \sim 290-TeV muon neutrino coinciding with the direction of a flaring state of TXS 0506+056 [44]. Soon, follow-up observations were performed in various energy bands by Fermi-LAT (γ\gamma rays) [45], the Nuclear Spectroscopic Telescope Array (X rays) [46], and Swift (X rays, UV, optical) [47], and VHE γ\gamma-ray observations were made by the Major Atmospheric Gamma Imaging Cherenkov Telescopes (MAGIC) [48], High Energy Stereoscopic System [49], HAWC [50] and Very Energetic Radiation Imaging Telescope Array System [51]. Notably, prior to the IC170922-A alert, this source was also observed with a neutrino flare, making it a sub-PeV neutrino source with a significance of 3.5σ\sigma [52]. However, there was no significant flaring in MeV-GeV gamma rays during this epoch. A hadronic-originated photon counterpart will contribute to the intrinsic flux at sub-PeV for such neutrino sources. Hence, TXS 0506+056 is the candidate source to study the ALP-photon oscillation at several-TeV to sub-PeV energies.

This paper is organized as follows. In Sec. II, we describe the propagation of photon-ALP beam in an external magnetic field. In Sec. III we describe the various magnetic field models used for the analysis. In Sec. IV we discuss the methodology used for data fitting and predicting the expected γ\gamma-ray flux. In Sec. V we describe the significance of the ALP effect in TXS 0506+056 and its Fermi-LAT analysis. In Sec. VI we discuss the results for the ALP-γ\gamma oscillations. This section also includes the implication of this oscillation for the diffuse gamma-ray flux from TXS 0506+056-like sources. Here we calculate the diffuse gamma-ray flux from sources, flat-spectrum radio quasars(FSRQs), high-synchrotron peaked (HSP) sources, and low-intermediate-synchrotron peaked (LISP) sources, and their future observability.

II Photon-ALP Oscillation and Propagation in Magnetic Fields

The minimal interaction coupling gaγg_{a\gamma} between photons of energy EγE^{\prime}_{\gamma} and ALPs in the presence of an external magnetic field B and electric field E has been proposed in the literature [53, 5].

A polarized, monoenergetic photon beam propagating along the z^\hat{\textbf{z}} direction in a cold plasma medium with a homogeneous B field along the y^\hat{\textbf{y}} axis, has the equation of motion,

(iddz+Eγ+0)ψ(z)=0|Eγma,\left(i\frac{d}{dz}+E^{{}^{\prime}}_{\gamma}+\mathcal{M}_{0}\right)\psi(z)=0\,\Big{|}_{E^{\prime}_{\gamma}\gg m_{a}}\,, (1)

where 0\mathcal{M}_{0} represents the photon-ALP mixing matrix and ψ(z)=(A1(z)A2(z)a(z))T\psi(z)=\begin{pmatrix}A_{1}(z)&A_{2}(z)&a(z)\end{pmatrix}^{T} denotes the state function. Here, A1(z)A_{1}(z) and A2(z)A_{2}(z) are the photon amplitudes with linear polarizations along the x and y axis, respectively, whereas a(z)a(z) is the amplitude associated with the ALP state.

Assuming weak magnetic fields and EγE^{{}^{\prime}}_{\gamma} at VHE, the QED vacuum polarization and Faraday rotation can be neglected, and the mixing matrix becomes

0=(Δxx000ΔyyΔaγy0ΔaγyΔazz),\mathcal{M}_{0}=\begin{pmatrix}\Delta^{xx}&0&0\\ 0&\Delta^{yy}&\Delta^{y}_{a\gamma}\\ 0&\Delta^{y}_{a\gamma}&\Delta^{zz}_{a}\end{pmatrix}\,, (2)

where Δxx=Δyy=ωpl2/2E\Delta^{xx}=\Delta^{yy}=-\omega^{2}_{pl}/2E, Δazz=ma2/2E\Delta^{zz}_{a}=-m^{2}_{a}/2E, and Δaγy=gaγγBy/2\Delta^{y}_{a\gamma}=g_{a\gamma\gamma}B_{y}/2. Here, ωpl2\omega^{2}_{pl} is the plasma frequency resulting from the charge-screening effect. The propagation region of the photon-ALP beam is divided into N subregions. In each region, the probability for photon survival is calculated. The initial beam state is

ρ(0)=12diag.(1,1,0).\rho(0)=\frac{1}{2}\,diag.(1,1,0). (3)

The final photon survival probability can be written as:

Pγγ=Tr[(ρ11+ρ22)T(s)ρ(0)T(s))],P_{\gamma\gamma}=Tr\left[(\rho_{11}+\rho_{22})T(s)\rho(0)T^{\dagger}(s))\right], (4)

where ρ11\rho_{11} == diag(1, 0, 0) and ρ22\rho_{22} == diag(0, 1, 0) denote the polarization along the x and y axis, respectively, and T(s)=T(s3)Gal×T(s2)Ext×T(s1)SourceT(s)=T(s_{3})_{Gal}\times T(s_{2})_{Ext}\times T(s_{1})_{Source} is the whole propagation transfer matrix. Here, the subregions are the source, the extragalactic medium, and the Milky Way region.

III Magnetic field models

In this section, we give a brief overview of the magnetic field models used in our calculation.

III.1 Blazar jet region

We consider the photon-ALP oscillation at the source in the presence of blazar jet magnetic field (BJMF). The magnetic field in the jet region can be modeled with poloidal (along the jet axis, Br2B\propto r^{-2}) and toroidal (transverse to the jet axis, Br1B\propto r^{-1}) components. At distances large enough from the central black hole, the toroidal component dominates over the poloidal component and thus the latter can be neglected. We adopt the toroidal magnetic field strength Bjet(r)B^{jet}(r) given by [54, 55]:

Bjet(r)=B0jet(rrVHE)η,B^{jet}(r)=B^{jet}_{0}\left(\frac{r}{r_{VHE}}\right)^{\eta}, (5)

where B0jetB^{jet}_{0} is the magnetic field strength at the core and rVHEr_{VHE} is the distance between the VHE γ\gamma-ray-emitting region and the central black hole. We assume rVHERVHE/θjr_{VHE}\sim R_{VHE}/\theta_{j}, where RVHER_{VHE} is the blob radius of the VHE emitting region and θj\theta_{j} is the angle between the jet axis and the line of sight.

Assuming equipartition between the magnetic field and particle energies, the electron density profile nel(r)n_{el}(r) can be modeled as a power law given by [56]:

nel(r)=n0(rrVHE)ξ,n_{el}(r)=n_{0}\left(\frac{r}{r_{VHE}}\right)^{\xi}, (6)

where n0n_{0} is the electron density at rVHEr_{VHE}. In Ref. [57], a more realistic model was provided that takes into account the fact that the electron distribution is nonthermal in a relativistic active galactic nuclei Jet.

The photon energy EγE^{{}^{\prime}}_{\gamma} in the jet frame is related to the lab-frame energy EγE_{\gamma} by Eγ=Eγ/δDE^{{}^{\prime}}_{\gamma}=E_{\gamma}/\delta_{D}, where δD=[ΓL(1βj2cosθj)]1\delta_{D}=\left[\Gamma_{L}(1-\beta_{j}^{2}cos\theta_{j})\right]^{-1} is the Doppler factor with ΓL\Gamma_{L} and βj\beta_{j} being the bulk Lorentz and beta factor, respectively. We assume that at r>1r>1 kpc the BJMF strength is negligible. Further details of the BJMF model can be found in Refs. [7, 8].

III.2 Intercluster magnetic fields

The intercluster medium magnetic field (ICMF), BICMFB^{ICMF} can be modeled as,

BICMF(r)=B0ICMF(nel(r)nel(r0))η,B^{ICMF}(r)=B_{0}^{ICMF}\left(\frac{n_{el}(r)}{n_{el}(r_{0})}\right)^{\eta}, (7)

with 0.5η1.00.5\leq\eta\leq 1.0, where B0ICMFB_{0}^{ICMF} and nel(r0)n_{el}(r_{0}) are the magnetic field strength and electron density at the cluster center, respectively. The electron density distribution nel(r)n_{el}(r) at a distance rr from the cluster center is

nel(r)=n0ICMF(1+rrcore)ζ,n_{el}(r)=n_{0}^{ICMF}\left(1+\frac{r}{r_{core}}\right)^{\zeta}, (8)

with rcorer_{core} is the core radius and ζ=1\zeta=-1. The typical order of the electron density and the core radius is 𝒪(103)\sim\mathcal{O}(10^{-3}) cm-3 and 𝒪(100)\sim\mathcal{O}(100) kpc, respectively.

In a cluster-rich environment, the turbulent magnetic field is of order \sim 𝒪\mathcal{O}(1)μ\muG [58, 59, 60]. Such a cluster can have a significant effect on the conversion between photons and ALPs [61, 62]. Since there is no evidence that TXS 0506+056 is located in a cluster-rich environment, we do not consider the photon-ALP oscillations in the ICMF model.

III.3 Extragalactic magnetic fields

The actual strength of the extragalactic magnetic field on the cosmological scale 𝒪\sim\mathcal{O}(1) Mpc, is still unknown, but the currently accepted limit is 𝒪\sim\mathcal{O}(1) nG [63, 64]. In this work, we neglect the effect due to the magnetic field (See Ref. [65] for possible effects of the magnetic field) and consider only the absorption effect due to EBL.

The optical depth of EBL attenuation can be written as [66]

τ(Eγ,z0)=c0z0dz(1+z)H(z)Eth𝑑EγBGdn(z)dEγBG\displaystyle\tau(E_{\gamma},z_{0})=c\,\int_{0}^{z_{0}}\frac{dz}{(1+z)H(z)}\,\int_{E_{th}}^{\infty}dE^{BG}_{\gamma}\,\frac{dn(z)}{dE^{BG}_{\gamma}}\,
×σ~(Eγ,EγBG),\displaystyle\times\,\tilde{\sigma}(E_{\gamma},E^{BG}_{\gamma})\,, (9)

with

σ~(Eγ,EγBG)=112(mec2)2EγBGEγ𝑑cosθ(1cosθ)2\displaystyle\tilde{\sigma}(E_{\gamma},E^{BG}_{\gamma})=\int_{-1}^{1-\frac{2(m_{e}c^{2})^{2}}{E^{BG}_{\gamma}E_{\gamma}}}\,dcos\theta\,\frac{(1-cos\theta)}{2}\,
×σγγ(Eγ,EγBG,θ),\displaystyle\times\,\sigma_{\gamma\gamma}(E_{\gamma},E^{BG}_{\gamma},\theta)\,, (10)

and Eth=2(mec2)2/(Eγ(1cosθ)),E_{th}=2\cdot(m_{e}c^{2})^{2}/(E_{\gamma}(1-cos\theta)), where z0z_{0} is the redshift of the source, H(z)H(z) is the rate of Hubble expansion, EthE_{th} is the threshold energy for pair production, dn(z)/dEγBGdn(z)/dE^{BG}_{\gamma} is the proper number density of the EBL, σγγ(Eγ,z,EγBG)\sigma_{\gamma\gamma}(E_{\gamma},z,E^{BG}_{\gamma}) is the pair-production cross section, θ\theta is the angle between the projectile and target photons, EγE_{\gamma} is the projectile photon energy, and EγBGE^{BG}_{\gamma} is the target background photon energy. Several EBL models have been proposed in the literature [67, 68, 69, 70, 71, 72, 73], and we consider the model from Ref. [74] in this work.

III.4 Milky Way region

Finally, we consider the effect of photon-ALP oscillation in the presence of a Galactic magnetic field (GMF). This effect can have both a large-scale regular component and a small-scale random component. Due to the fact that the coherence length is smaller than the oscillation length, we neglect the random component [61] in our analysis and consider only the regular GMF component model given in [75]; the latest model can be found in Refs. [76, 77].

IV Methodology

The photon beam of the blazar can be considered as the intrinsic photons generated by the accelerated leptons or hadrons. In general, one can consider the intrinsic spectrum to follow the superexponential cutoff power law (SEPWL) to fit the observed data points under the null hypothesis,

Φint(E)=N0(EE0)αexp[(EEcutoff)β],\Phi_{int}(E)=N_{0}\left(\frac{E}{E_{0}}\right)^{-\alpha}exp\left[-\left(\frac{E}{E_{cutoff}}\right)^{\beta}\right], (11)

where E0E_{0} is taken to be 1 GeV, and N0N_{0}, α\alpha, EcutoffE_{cutoff}, and β\beta are treated as free parameters. The best-fit parameters are given in Table 1. It is to be noted that we also tested other forms of the intrinsic spectrum and found that the SEPWL gives the smallest value of the best-fit χ2\chi^{2} under the null hypothesis.

Table 1: Summary of the best-fit spectral parameters for all phases.
Phase N0N_{0} (x10-11) α\alpha β\beta EcutoffE_{cutoff}
[MeV-1cm-2s-1] [GeV]
Neutrino Flare 2014 0.65 1.79 0.1 71.01
VHE Flare 1 4.04 1.99 0.54 66.27
VHE Quiescent 1.59 1.94 0.63 58.37

We use the open-source PYTHON-based package gammaALPs111https://gammaalps.readthedocs.io/en/latest/index.html [78] to compute the photon-ALP oscillation probability PγγALPP^{ALP}_{\gamma\gamma}.

Refer to caption
Figure 1: Final photon survival probability for the TXS 0506+056 blazar for six typical sets of parameters. The dot-dashed and solid lines represent the photon survival probability without and with the ALP effect, respectively. The notations used to represent the parameters are mneV \equiv ma/1 neV and g11 \equiv g/10-11 GeV-1.

The modulated γ\gamma-ray spectrum obtained after the photon-ALP oscillation is given by ΦwALP(E)=PγγALPΦint(E)\Phi_{wALP}(E)=P^{ALP}_{\gamma\gamma}\Phi_{int}(E). In order to get the expected γ\gamma-ray spectrum observed in the detector, we must consider the energy resolution of the detector. One can assume the energy dispersion function D(Et,Eγi,Eγj)D(E_{t},E^{i}_{\gamma},E^{j}_{\gamma}) to be a Gaussian with the variance being the energy resolution. Then the expected flux between energy bins EγiE^{i}_{\gamma} and EγjE^{j}_{\gamma} is given by [26]

Φexp(Eγ)=0D(Et,Eγi,Eγj)ΦwALP(Et)𝑑EtEγiEγj,\Phi^{exp}(E_{\gamma})=\frac{\int_{0}^{\infty}D(E_{t},E^{i}_{\gamma},E^{j}_{\gamma})\,\Phi_{wALP}(E_{t})\,dE_{t}}{E^{i}_{\gamma}-E^{j}_{\gamma}}, (12)

where EtE_{t} is the true energy of γ\gamma rays. The energy resolution of Fermi-LAT and MAGIC are taken as 15%15\% 222https://fermi.gsfc.nasa.gov/ssc/data/analysis/documentation/Cicerone/Cicerone_Introduction/LAT_overview.html and 16%16\% [79], respectively.

One can obtain the best-fit photon-ALP oscillation probability by fitting the observed flux with the expected flux. We define χ2\chi^{2} as,

χ2=iNbins(Φiexp(Eγ)Φiobs(Eγ)σi)2,\chi^{2}=\sum_{i}^{N_{bins}}\left(\frac{\Phi^{exp}_{i}(E_{\gamma})-\Phi^{obs}_{i}(E_{\gamma})}{\sigma_{i}}\right)^{2}\,, (13)

where Φiobs\Phi^{obs}_{i} is the observed γ\gamma-ray flux, with σi\sigma_{i} being the corresponding uncertainty. The best-fit mam_{a} and gaγg_{a\gamma} are calculated by minimizing the χ2\chi^{2}.

V Significance of ALP effect in TXS 0506+056

The first extragalactic TeV-PeV neutrino source TXS 0506+056 is the best candidate to study high-energy radiation. The follow-up observations of IC170922-A showed that the source has multiwavelength emissions. Additionally, the source showed an excess of 13±513\pm 5 in the time window of 158 days, from September 2014 (MJD 56937.81) to March 2015 (MJD 57096.21), known as the neutrino flare phase [52]. Recently, \sim 41-hr and 74\sim 74-hr observations of VHE ( >90>90 GeV) events by MAGIC between September 2017 to December 2018 showed three flaring activities [80, 81]. Hence, the blazar TXS 0506+056 would be the best probe to study the photon-ALP interaction in the MeV to the sub-PeV range. We study the VHE activity phases as well as the neutrino-flare phase of the source.

V.1 Fermi-LAT analysis of TXS 0506+056

We analyze the Fermi-LAT data for TXS 0506+056 in three phases:

  • Neutrino Flare : September 2014 (MJD 56937.81) to March 2015 (MJD 57096.21).

  • VHE Flare 1 : 04 September, 2017 (MJD 58000) to 03 November, 2017 (MJD 58060).

  • VHE Quiescent : 04 November, 2017 (MJD 58061) to 10 October, 2018 (MJD 58422).

We select the above-mentioned time period of Fermi-LAT (Pass 8) processed data from the Fermi Science Data Center 333https://fermi.gsfc.nasa.gov/ssc/data/access/. We choose the spacecraft files and the instrument response functions (IRFs) of P8R3_SOURCE_V2 to match the extracted data. We select the SOURCE event class (evclass=128 and evtype=3) in the energy range of 100 MeV to 300 GeV. The region of interest is selected to be 2 centered on the target source. We consider all of the 4FGL sources around 10 of TXS 0506+056 as background sources together with preprocessed templates of Galactic diffuse emission, gll_iem_v08.fits , and the extragalactic isotropic diffuse emission, iso_P8R3_SOURCE_V2_v2.fits.

The likelihood analysis, spectral energy distribution, and light curve are obtained by using the PYTHON-based Fermipy package 444https://fermipy.readthedocs.io/en/latest/index.html [82].

VI Results and Discussions

We divide this section into two important parts: results obtained by calculating the oscillation probability, and discussions on the possible gamma rays at sub-PeV energies resulting from this oscillation.

VI.1 Constraints on ALP parameter space

We calculate the photon-ALP oscillation probability for the three phases of TXS0506+056 mentioned above following Sec. IV.

VI.1.1 VHE activity around IC170922-A

In this section, we discuss the results obtained for VHE Flare 1, and VHE Quiescent associated with the IC170922-A event using the Fermi-LAT and MAGIC events. The VHE events observed by MAGIC are collected from Ref. [80, 81]. We use the modeling parameters for these phases from [81]. The parameters used in the BJMF model in the gammaALPs package are listed in Table 2. Note that for this study we do not consider the ICMF model.

Table 2: Summary of the BJMF model parameters in the quiescent and flaring states of TXS0506+056 taken from Ref. [81].
Parameter name Quiescent Flaring
R.A.(J2000) 05 09 25 (hh mm ss)
Dec.(J2000) +05 42 09 (dd mm ss)
z 0.337
θview\theta_{view} [deg] 0.8
δ\delta 40
Γ\Gamma 22
B0JetB^{Jet}_{0} [G] 1
n0Jetn^{Jet}_{0} [cm-3] 10310^{3} 520
rVHEr_{VHE} [pc] 10
RblobR^{{}^{\prime}}_{blob} [101610^{16} cm] 1.1
η\eta -1
ξ\xi -2
γe,min\gamma_{e,min} 800
γe,max\gamma_{e,max} 10410^{4} 2×1042\times 10^{4}

Figure 1 shows the photon survival probability due to EBL/CMB and photon-ALP oscillations for several typical sets of mam_{a} and gaγg_{a\gamma}.

Figure 2 shows the distribution of χALP2\chi^{2}_{ALP} in the mneVg11m_{neV}-g_{11} parameter space for all three VHE activity phases. In Table 3, we summarize the best-fit χw/oALP2\chi^{2}_{w/oALP} and χALP2\chi^{2}_{ALP} values along with the mneVg11m_{neV}-g_{11} parameters obtained under the null and ALP hypotheses. To summarize, we show the γ\gamma-ray flux for the best-fit χ2\chi^{2} values along with the final photon survival probability in Fig. 4.

Table 3: Summary of the best-fit χ2\chi^{2} values and ALP parameters under the null and ALP effect hypothesis for all phases.
Phase χw/oALP2\chi^{2}_{w/oALP} χALP2\chi^{2}_{ALP} mneVm_{neV} g11g_{11} Δχ2\Delta\chi^{2}
Neutrino Flare 2014 5.65 3.31 4.47 39.81 6.72
VHE Flare 1 20.48 13.73 17.78 35.48 9.18
VHE Quiescent 28.79 24.47 11.22 94.41 11.81
Refer to caption
Figure 2: Distribution of χALP2\chi^{2}_{ALP} in the mneVm_{neV}-g11g_{11} parameter space for all three phases. The \star symbol in black represents the best-fit parameter point. The black contours represent the excluded parameter space at 95%\% C.L. in all three and the combined phases. The black horizontal line represents the upper limit set by the CAST experiment of g<aγ{}_{a\gamma}< 6.6×\times10-11 GeV-1 [35].

To set the constraint on the mam_{a}gaγg_{a\gamma} parameter space, a threshold value χthr2=χmin2+Δχ2\chi^{2}_{thr}=\chi^{2}_{min}+\Delta\chi^{2} is determined to exclude the region at a certain C.L. for each phase. We generate 400 sets of pseudodata realized by Gaussian samplings as in Ref. [22], with the mean value and standard deviation taken as the best-fit flux under the null hypothesis and errors on the experimental data, respectively.

For each set, we calculate the best-fit χ2\chi^{2} for both the null and ALP hypotheses using the method described in Sec. IV. We obtain the distribution of test statistics (TS) values, TS=χnull2χALP2,TS=\chi^{2}_{null}-\chi^{2}_{ALP},under the null hypothesis that obeys the noncentral χ2\chi^{2} distribution. The assumption that the probability distribution for the ALP scenario can be approximated with the null hypothesis, Δχ2\Delta\chi^{2}, is derived at 95%\% C.L. as shown in Fig. 3. The black contours in Fig. 2 represent the excluded parameter space at 95%\% C.L. We find the best constraint on mam_{a}gaγg_{a\gamma} parameter space in the Flare 1 phase.

In this phase, we find a possible excluding constraint on gaγg_{a\gamma} that can go as low as 5×10115\times 10^{-11} GeV-1 within 95% C.L.. TXS 0506+056 is a variable blazar with a variability index of 245.9099, and significant determination of the intrinsic flux is difficult for a flaring blazar. Thus we obtain weaker constraints for ALP parameters. We even see this result in the combined analysis of the three phases. On the other hand, for the Quiescent phase, this value could reach the similar constraint to that found by the CAST experiment.

Refer to caption
Figure 3: TS distributions of VHE Flare 2014 (top left), VHE Flare 1 (top right), VHE Quiescent (bottom left), and the combined (bottom right) phases of TXS 0506+056. The red lines show the fitted noncentral χ2\chi^{2} distributions. The blue lines show the cumulative density function (CDF) of the TS distributions.

VI.1.2 Neutrino flare (2014-2015)

We also investigate the ALP effect for the neutrino flare phase of the blazar TXS 0506+056. For the neutrino flare, there were no VHE observations. Hence we calculated the best-fit oscillation probability using only the Fermi-LAT events following the method as in Sec. IV. However, this phase could not add any significant result to the mam_{a}gaγg_{a\gamma} parameter space.

VI.2 ALP effect at sub-PeV energies

Extending this survival probability to sub-PeV energies, we can estimate the residual photon flux of the observed neutrino’s counterpart. For this calculation, we use the ALP-γ\gamma oscillation using the CAST upper limits on the parameters, namely ma=1m_{a}=1 neV and gaγ=6.6×1011g_{a\gamma}=6.6\times 10^{-11} GeV-1.

Assuming that IC170922-A resulted from proton-proton interactions, as calculated in Ref. [83], the average counterpart γ\gamma rays will follow [84], Eγ2dNγdEγ=23Eν2dNνdEν,E^{2}_{\gamma}\cdot\frac{dN_{\gamma}}{dE_{\gamma}}=\frac{2}{3}E^{2}_{\nu}\cdot\frac{dN_{\nu}}{dE_{\nu}}\,,where Eγ2EνE_{\gamma}\approx 2E_{\nu} is the energy of the photons produced from π0\pi^{0} decay. Subsequently, these VHE photons attenuate by interacting with the synchrotron and synchrotron self-Compton photons, resulting from relativistic electrons inside the blob. The fraction of VHE photons that can escape from the blob is estimated as in Ref. [85],

γγesc=1exp(τγγ(ϵγ))τγγ,\mathcal{F}^{esc}_{\gamma\gamma}=\frac{1-\exp{(-\tau_{\gamma\gamma}(\epsilon^{\prime}_{\gamma})})}{\tau_{\gamma\gamma}}\,, (14)

where the optical depth due to the interaction of high-energy photons of energy ϵγ\epsilon_{\gamma}^{\prime} in the comoving frame is

τγγ(ϵγ)=Rblobϵthrσγγ(ϵγ,ϵk)nk(ϵk)𝑑ϵk.\tau_{\gamma\gamma}(\epsilon^{\prime}_{\gamma})=R^{\prime}_{blob}\int_{\epsilon_{thr}}\sigma_{\gamma\gamma}(\epsilon^{\prime}_{\gamma},\epsilon^{\prime}_{k})\,n^{\prime}_{k}(\epsilon^{\prime}_{k})\,d\epsilon^{\prime}_{k}\,. (15)

nk(ϵk)n^{\prime}_{k}(\epsilon^{\prime}_{k}) is the number density of the ambient photons of energy ϵk\epsilon^{\prime}_{k} (in mec2m_{e}c^{2}) in the comoving frame,

nk(ϵk)=2DL2cRblob2δ2Γk2Fk(ϵk)mec2ϵk2,n^{\prime}_{k}(\epsilon^{\prime}_{k})=\frac{2D_{L}^{2}}{cR^{\prime 2}_{blob}\delta^{2}\Gamma^{2}_{k}}\,\frac{F_{k}(\epsilon_{k})}{m_{e}c^{2}\epsilon^{\prime 2}_{k}}\,, (16)

and σγγ\sigma_{\gamma\gamma} is the pair-production cross section [86]. RblobR^{{}^{\prime}}_{blob} is the radius of the blob, and DL2D^{2}_{L} is the luminosity distance of the source. Γk\Gamma_{k} is the bulk Lorentz factor and Fk(ϵk)F_{k}(\epsilon_{k}) is the photon flux in the observer frame.

Refer to caption
Figure 4: Top: best-fit γ\gamma-ray spectra of TXS 0506+056 for all three VHE phases. The dotted black and the solid magenta curves represent the spectra under the null and ALP hypotheses, respectively. The corresponding best-fit χ2\chi^{2} values are listed in Table 3. The experimental data are from Fermi-LAT 666see footnote 3 and MAGIC [81]. The dot-dashed grey curves represent the intrinsic γ\gamma-rays and the dashed red curves represent the flux expected by considering the ALP effect (see text). The differential sensitivity to a Crab-like point gamma-ray source for 1 year of exposure by LHAASO is shown by the dash-dot-dotted curve (green) for comparison [87]. Bottom: final photon survival probability for best-fit χALP2\chi^{2}_{ALP} parameter values under the ALP hypothesis.

Hence, the intrinsic γ\gamma-ray spectrum can be obtained by counterpart gamma rays as in Sec. VI.2 and this is shown by the grey vertical hatched and dot-dashed curves in the top panel of Fig. 4. This flux generally gets exhausted due to interaction with the EBL and CMB. On multiplying the intrinsic flux with the photon survival probability under photon-ALP oscillations for the corresponding phase, we can have a surviving fraction of the flux. The γ\gamma rays due to the ALP effect at sub-PeV energies is shown by the red cross hatched and dashed curves. Interestingly, the surviving photons, considering the ALP-γ\gamma oscillations in VHE Flare 2014, are above the differential sensitivity to a Crab-like point gamma-ray source for 1 year of exposure by LHAASO [87]..

VI.3 Diffuse γ\gamma rays from FSRQs sources at sub-PeV energies due to ALP effect

In this section, we calculate the diffuse flux at sub-PeV energies as an effect of ALP-γ\gamma oscillation in sources like TXS 0506+056. The authors of Refs. [88, 38] emphasized that TXS 0506+056 cannot be considered a blazar of BL Lac type, but rather an intrinsically FSRQ, and all FSRQs are of the low-energy (synchrotron) peaked (LBL). Hence, we calculate the diffuse ALP γ\gamma flux for the source luminosity function (LF) evolution like FSRQs using

Φdiff(Eγ)\displaystyle\Phi_{diff}(E_{\gamma}) =\displaystyle= ΓminΓmaxdNdΓ𝑑Γzminzmaxd2VdzdΩ𝑑zLγminLγmax𝑑Lγ\displaystyle\int_{\Gamma_{min}}^{\Gamma_{max}}{\frac{dN}{d\Gamma}\,d\Gamma}\int_{z_{min}}^{z_{max}}\frac{d^{2}V}{dzd\Omega}\,dz\int_{L_{\gamma}^{min}}^{L_{\gamma}^{max}}\,dL_{\gamma}\, (17)
×ρ(Lγ,z).dFγintdE.eτγγalp(E,z),\displaystyle\times\,\rho(L_{\gamma},z).\,\frac{dF_{\gamma}^{int}}{dE}.\,e^{-\tau_{\gamma\gamma}^{alp}(E,z)}\,,

where dN/dΓdN/d\Gamma is the intrinsic photon index distribution which is assumed to be a Gaussian, d2V/dzdΩd^{2}V/dzd\Omega is the comoving volume element per unit redshift per unit solid angle, dFγint/dEdF_{\gamma}^{int}/dE is the intrinsic photon flux, here taken as calculated in Sec. VI.2 for TXS 0506+056, τγγalp\tau^{alp}_{\gamma\gamma} is the opacity under the ALP scenario considering the CAST upper limit on the parameters mam_{a}gaγg_{a\gamma}, and ρ(Lγ,z)\rho(L_{\gamma},z) is the gamma-ray luminosity function (GLF).

We consider here the luminosity-dependent density evolution of the GLF with parametrization given by:

ρ(Lγ,z)\displaystyle\rho(L_{\gamma},z) =\displaystyle= Alog(10).Lγ[(LγLc)δ1+(LγLc)δ2]1\displaystyle\frac{A}{log(10).L_{\gamma}}\left[\left(\frac{L_{\gamma}}{L_{c}}\right)^{\delta 1}+\left(\frac{L_{\gamma}}{L_{c}}\right)^{\delta 2}\right]^{-1} (18)
×ζ(Lγ,z),\displaystyle\times\,\zeta(L_{\gamma},z)\,,

with

ζ(Lγ,z)=[(1+z1+zc(Lγ))η1+(1+z1+zc(Lγ))η2],\zeta(L_{\gamma},z)=\left[\left(\frac{1+z}{1+z_{c}(L_{\gamma})}\right)^{\eta 1}+\left(\frac{1+z}{1+z_{c}(L_{\gamma})}\right)^{\eta 2}\right]\,, (19)

where zc(Lγ)=zc(Lγ1048)αz_{c}(L_{\gamma})=z_{c}^{*}\left(\frac{L_{\gamma}}{10^{48}}\right)^{\alpha}\,. We collect the best-fit parameters A,Lc,zc,α,η1,η2,δ1A,L_{c},z_{c}^{*},\alpha,\eta 1,\eta 2,\delta_{1}, and δ2\delta_{2} for three blazar classes, namely, FSRQ [89], HSP, and LISP sources [90]. The limits of integration are Γmin=1.2\Gamma_{min}=1.2, Γmax=3.0\Gamma_{max}=3.0, zmin>0z_{min}>0, and zmax=2z_{max}=2. For FSRQs, we also calculate the diffuse flux using the integration limits of Ref. [89] as a comparison.

Figure 5 shows the diffuse γ\gamma ray flux expected from photon-ALP conversion for the three classes. The data points of diffuse gamma-ray emission from the Galactic plane recorded by the LHAASO-KM2A [91] and Tibet AS-γ\gamma [92] experiments are also shown. We show each class with (i) Łγ[1040,1052]\L_{\gamma}\in[10^{40},10^{52}] erg/sec, and (ii) Łγ[1042,1052]\L_{\gamma}\in[10^{42},10^{52}] erg/sec.

Refer to caption
Figure 5: Expected diffuse γ\gamma-ray flux from photon-ALP conversion for FSRQ, HSP, and LISP sources. The data points are the Galactic diffuse gamma-ray emission measured by LHAASO-KM2A [91] (light purple) and Tibet AS-γ\gamma [92] (blue and green). For comparison, the diffuse flux obtained using the parameters of Ref. [89] is shown by the red solid curve.

Dedicated surveys of the extragalactic diffuse gamma-ray flux by observatories like LHAASO, Tibet AS-γ\gamma, and the upcoming Cerenkov Telescope Array [93] will be able to constrain the ALP parameters considering photon-ALP oscillations at sub-PeV energies as proposed here.

Acknowledgements.
The authors thank the anonymous referee for constructive comments which helped in improving the manuscript. The authors acknowledge the Science and Engineering Research Board (SERB) Grant No. SRG/2020/001932.

References