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Detection of Gamma-Rays from the Protostellar Jet in the HH 80–81 System

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Published 2 February 2022 © 2022. National Astronomical Observatories, CAS and IOP Publishing Ltd.
, , Citation Da-Hai Yan et al 2022 Res. Astron. Astrophys. 22 025016 DOI 10.1088/1674-4527/ac3fad

1674-4527/22/2/025016

Abstract

Considering that the existence of relativistic particles in the protostellar jet has been confirmed by the detection of linearly polarized radio emission from the HH 80–81 jet, we search for gamma-rays from the HH 80–81 system using ten-year Fermi-LAT observations. A significant point-like γ-ray excess is found in the direction of the HH 80–81 system with the Test-Statistic value >100, which is likely produced in the HH 80–81 jet. The γ-ray spectrum extends only to 1 GeV with a photon index of 3.5. No significant variability is found in the gamma-ray emission. It is discussed that the properties of HH 80–81 jet suffice for producing the observed γ-rays.

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1. Introduction

Radio jets/outflows have been observed in protostars, which are possibly driven by the accretion in the formation of the stars (e.g., Rodríguez et al. 1990; Martí et al. 1993; Anglada et al. 1996; Rodriguez 1996; Garay et al. 2003; Rodríguez et al. 2005). In contrast to the relativistic jets in active galactic nuclei (AGNs), the protostellar jets move at much smaller velocities which are typically from 100 to 1000 km s−1 (see Anglada et al. 2018, for a review). The radio emission is usually dominated by the free–free emission from the thermal motions of electrons, which is characterized by a positive spectral index and no linear polarization (e.g., Anglada et al. 2018).

Among the protostellar jets, the HH 80–81 jet (located at a distance of 1.7 kpc) is an intriguing object (e.g., Carrasco-González et al. 2010). The central source in the HH 80–81 system is IRAS 18162-2048, which is identified as a massive B-type protostar (e.g., Carrasco-González et al. 2012). The entire radio jet system extends up to ∼5 pc (e.g., Martí et al. 1993; Carrasco-González et al. 2010; Rodríguez-Kamenetzky et al. 2017). In the central region of the jet, the spectral index of the radio emission is positive, which suggests a dominating thermal emission in the region (e.g., Rodriguez 1996; Rodríguez-Kamenetzky et al. 2017). However, in some knots as well as in the lobes, the radio emissions show negative spectral indices, which suggests an additional non-thermal component in these regions (e.g., Martí et al. 1993; Carrasco-González et al. 2010; Rodríguez-Kamenetzky et al. 2017). In particular, the radio emission from the knots located ∼0.5 pc from the central source is found to be linearly polarized (Carrasco-González et al. 2010). This clearly confirms the non-thermal origin of the radio emission (Carrasco-González et al. 2010). The non-thermal radio emission is believed to be the synchrotron radiation of relativistic electrons in magnetic field.

Particle acceleration and γ-ray production in the protostellar jet have been studied (e.g., Araudo et al. 2007; Bosch-Ramon et al. 2010; Munar-Adrover et al. 2013; Rodríguez-Kamenetzky et al. 2016, 2017, 2019). The relativistic electrons in the jet would inverse-Compton (IC) scatter optical-ultraviolet photons to GeV γ-ray energies. In a dense material environment, γ-rays could be produced through the relativistic Bremsstrahlung process. If the protons in the jet are also accelerated accompany with the acceleration of the electrons, the inelastic proton-proton (pp) interaction also produce γ-rays. However, the detection of γ-rays from protostellar jet is still lacking. Motivated by the above arguments, we analyze the Fermi-LAT data in the direction of IRAS 18162-2048 to search for γ-rays in the HH 80–81 system.

2. Data Analysis

In this work, we select 10 yr data observed by Fermi-LAT (from 2008 August 4 to 2018 August 4), covering the energies from 100 MeV to 300 GeV. The Pass 8 SOURCE class events within 14° × 14° region of interest centered at the position of IRAS 18162-2048 are used (Atwood et al. 2013). We use instrument response function P8R3_SOURCE_V2. The Fermi-LAT fourth source catalog (4FGL; The Fermi-LAT collaboration 2019) based on the 8 yr data is used to construct the background model. Galactic and extragalactic diffuse components are modeled by gll_iem_v07.fits and iso_P8R3_SOURCE_V2_v1.txt, respectively. We employ the Fermi-tools to perform the analysis. To reduce the contamination from the Earth limb, we exclude the events within zenith angles of >90°. Standard binned likelihood analysis is performed to fit the free parameters in the model, and the obtained best-fit model is used in next procedure.

2.1. TS maps and SEDs

We use gttsmap to create 5° × 5° Test-Statistic (TS) map. It is obtained by moving a putative point source through a grid of locations on the sky and maximizing the likelihood function (−logL) at each grid point.

In Figure 1, one can see a significant γ-ray excess in the direction of IRAS 18162-2048. We add a point-like source at the position of IRAS 18162-2048 to describe this excess. The spectrum of the source is assumed to be a power-law form,

Equation (1)

where the normalization F0 and photon index Γγ are free parameters. Under such assumption, the tool gtlike gives TS value of 101 for the emission above 100 MeV (panel a). The TS value is reduced to 25 for the emission above 200 MeV (panel b), while above 300 MeV it is only 5 (panel c). From the residual map (panel d), one can find that the γ-ray emission can be well described by a point-like source with a power-law spectrum. The γ-ray excess has Γγ = 3.53 ± 0.11 and the flux above 100 MeV Fγ = (5.2 ± 0.4) × 10−8 photons cm−2 s−1.

Figure 1.

Figure 1. 5° × 5° TS maps of the sky region around IRAS 18162-2048. Panels (a)−(c) present the maps above 100 MeV, 200 MeV and 300 MeV, respectively. Panel (d) shows the residual map above 200 MeV considering IRAS 18162-2048 as a power-law point source. The cyan cross denotes the position of IRAS 18162-2048, and the green circle in (b) is the best-fit position of the γ-ray excess above 200 MeV. All 4FGL sources in this region are labeled as diamonds.

Standard image High-resolution image

We then construct spectral energy distribution (SED). Energies are divided into logarithmic-equivalent bins, and in each bin we perform likelihood analysis to calculate the flux. In this step, only the prefactors of all sources are left free (i.e., fix the spectral shapes to those derived before). The SED of the γ-ray emission is shown in Figure 2 (black data). Again, one can see that the majority of emission is below 1 GeV.

Figure 2.

Figure 2. SEDs of the γ-ray emission from the direction of IRAS 18162-2048. The black one is the SED obtained by performing the standard data analysis proceeding; the red one is that obtained by using the enhanced Galactic diffuse background, and the blue one is the SED obtained by using the reduced Galactic diffuse background (see the text for details). For any bin with TS < 4, the upper limit at 95% confidence level is given (triangle). The solid line is the best-fit result to the black points. Dashed lines represent 1σ upper and lower limits for the black points.

Standard image High-resolution image

To investigate the effect of the fluctuation of the diffuse Galactic background (the so-called systematic uncertainty) on the γ-ray signal, we change the normalization of the Galactic background component to do the analysis. The TS value above 100 MeV changes to 76 when the diffuse Galactic background is enhanced by 3%, and it is 144 when the background is reduced by 3%. The derived systematic uncertainty on Fγ is ${\sigma }_{\mathrm{syst}}{=}_{-0.77}^{+0.45}\times {10}^{-8}\ \mathrm{photons}\,{\mathrm{cm}}^{-2}\ {{\rm{s}}}^{-1}$. The corresponding SEDs are shown in Figure 2 with red and blue circles, respectively. One can find that the effect of the systematic uncertainty on the SED is negligible.

To get accurate position of this γ-ray emission, we run gtfindsrc to optimize the source location. This is performed using the photons above 200 MeV, with the consideration of a narrower point-spread function and lower computation complexity. The best-fit position is (R.A. = 274fdg8, Decl. = −20fdg8; J2000) with the 1σ error circle radius of 0fdg28. IRAS 18162-2048 is well located in this region.

2.2. Extension

In addition to the point-like source model, we also use a uniform disk model as spatial template to investigate the extension of the γ-ray emission. The disk center is set at the position of IRAS 18162-2048, and we vary the disk radius within one degree to calculate the TS values (see Table 1) . To clarify a source is extended or not, TSext ≥ 16 is usually required (Ackermann et al. 2017) where TSext is defined as $-2(\mathrm{ln}{L}_{\mathrm{ps}}-\mathrm{ln}{L}_{\mathrm{ext}})$ where Lps and Lext are likelihoods of being a point-like source and an extended source, respectively. From Table 1, One can find that the γ-ray emission does not show extension at an obvious confidence level.

Table 1. Significance for Testing Different Radii of Uniform Disk Template

Disk radii0.10.30.50.7
−2ΔL 0.240.860.16−1.74

Note. ΔL is the difference of logarithmic likelihood of disk templates from point source hypothesis.

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The non-extended feature of the γ-ray emission disfavors the origins of supernova remnant and molecular cloud. 4

2.3. Variability

We obtain the flux variation during the observation. Light curve is one-year binned (see the top panel in Figure 3). Since the γ-ray emission is weak, in each time bin we fix the spectral shapes of background sources (i.e., only free their prefactors). The χ2 under constant hypothesis is 14.02 with 8° of freedom (d.o.f.). Its corresponding p-value is 0.08 (∼1.4σ significance), suggesting no significant variability. The variation of Γγ is fitted well by a constant of 3.3 ± 0.2 (see the bottom panel in Figure 3).

Figure 3.

Figure 3. Light curve of the γ-ray emission from IRAS 18162-2048 direction (top) and the variation of Γγ as the time (bottom). The dashed line is the best-fit result to the data with a constant. The region covered by the dotted lines represents the 1σ uncertainty.

Standard image High-resolution image

3. Cross-checking for Identification

For the γ-ray excess region, we exclude known possible γ-ray sources within the error circle of 0fdg28 (this circle is obtained from previous gtfindsrc performing), by cross-checking known database.

Totally 315 objects are retrieved in this circle from SIMBAD database. 5 We carefully check these objects and find that most of them are alternative names of the HH 80–81 system. Among the rest of the objects (most are stars), no potential γ-ray emitter is found. The only γ-ray candidate 3FGL J1819.5-2045c ($4.5^{\prime} $ away) has been removed in the Fermi-LAT fourth source catalog. In 4FGL, the nearest known γ-ray source, 4FGL J1818.1-2000, is about 0fdg8 away, which has little impact on the γ-ray excess (see Figure 1).

The 5th Roma blazar catalog (Massaro et al. 2009, 2015) contains 3561 sources, and the nearest one from IRAS 18162-2048, 5BZQJ1833-2103, has an offset of 3fdg4. By checking the Australia Telescope National Facility Pulsar Catalog (Manchester et al. 2005), no pulsar is found in this circle. The Molonglo Reference Catalog which is one of the largest homogeneous catalogs of radio sources (Large et al. 1981, 1991) does not cover regions within 3° of the Galactic equator.

4. Production of the Observed Gamma-Rays in the HH 80–81 Jet

Relativistic particles in a protostellar jet can produce γ-rays through a variety of processes, including IC scattering, relativistic Bremsstrahlung, and pp interaction (e.g., Araudo et al. 2007; Bosch-Ramon et al. 2010). The present observations cannot determine the radiative mechanism for the γ-rays. Nevertheless, the γ-ray spectrum that we obtained can put constraints on the characteristics of the relativistic particles in the jet.

The characteristic cooling time of pp interaction in the hydrogen medium with number density n0 is written as (e.g., Aharonian 2004)

Equation (2)

Here, an average cross-section at high energies of about 40 mb is used, and the coefficient of inelasticity f = 0.5 is adopted (assuming that on average the proton loses about half of its energy per interaction). For a typical n0 ∼ 1000 cm−3 in HH 80–81 (e.g., Anglada et al. 2018), we derive tpp ∼ 50,000 yr. The ratio of the mean energy of the produced γ-ray to the energy of the incident proton is ∼0.05 (Kelner et al. 2006). Therefore, the energy of the proton that produces the observed 1 GeV photons through pp interaction is ∼20 GeV. The spectral index of the protons distribution sp is same as the γ-ray photon index (Kelner et al. 2006), i.e., sp ≈ 3.5.

The cooling time of electrons due to the Bremsstrahlung losses is (e.g., Aharonian 2004)

Equation (3)

With n0 ∼ 1000 cm−3, we get tbr ∼ 40,000 yr. The energy of the electron that produces the observed 1 GeV photons through Bremsstrahlung is 1 GeV (Blumenthal & Gould 1970). The spectral index of the electron distribution is se ∼ Γγ ≈ 3.5. In this case, the maximum energy of synchrotron photon is ${E}_{\mathrm{syn},\ \max }{(\mathrm{eV})\approx 2\,\times \,{10}^{-8}(1\ \mathrm{GeV}/{m}_{e}{c}^{2})}^{2}B$. Considering a magnetic field strength of 0.1 mG (Carrasco-González et al. 2010), we have ${E}_{\mathrm{syn},\ \max }(\mathrm{eV})\sim {10}^{-5}$. This energy range is covered by the current radio observations, and the photon index of the observed radio spectrum is 1.3 (Martí et al. 1993). From the relativistic electrons distribution, the photon index of the synchrotron emission is expected as (se + 1)/2 ≈ 2.3 (Blumenthal & Gould 1970). It is noted that this predicted synchrotron spectrum at ∼0.01 meV is inconsistent with the radio observations.

The cooling time of relativistic electrons due to the IC scattering is (e.g., Aharonian 2004)

Equation (4)

where γ is the Lorentz factor of the relativistic electrons and Us is the energy density of seed photon field. The energy of the scattered photons E1 is written as E1γ2 Es (Blumenthal & Gould 1970), where γ is the Lorentz factor of the relativistic electrons and Es is the energy of the seed photons. Protostars are detected as strong infrared sources. Assuming Es ∼ 0.01 eV (corresponding to the temperature T ∼ 100 K) (Bosch-Ramon et al. 2010), we can derive γ ≈ 3 × 105 with E1 = 1 GeV. Considering Us ∼ 10−12 erg cm−3 (Bosch-Ramon et al. 2010), we have tIC ∼ 2 × 106 yr for the electrons that produce 1 GeV photons. The energy of synchrotron photon is calculated by Esyn(eV) ≈ 2 × 10−8 γ2 B, where B is strength of magnetic field. With B = 0.1 mG, the maximum energy of the synchrotron photons is ≈0.2 eV. There is no observed data at this energy range. In this scenario, se is predicted as se = 2Γγ − 1 ≈ 6. This very steep spectrum indicates that there is a cut-off at γc (γc < 3 × 105) in the electron distribution.

As mentioned above, the observed γ-rays can be produced through IC scattering of relativistic electrons or inelastic pp interaction. It should be noted that the jet phase timescale in massive protostars is roughly 40,000 yr (Guzmán et al. 2012). This lifetime is comparable to tpp , but significantly shorter than the characteristic tIC for the electrons that produce 1 GeV photons.

The kinetic luminosity of the jet can be calculated by

Equation (5)

where ${\dot{M}}_{j}$ is mass-loss rate in the jet and ${v}_{j}^{2}$ is jet velocity. Taking ${\dot{M}}_{j}={10}^{-6}\ {M}_{\odot }\ {\mathrm{yr}}^{-1}$ and vj = 1000 km s−1 (e.g., Anglada et al. 2018), we have Lj ≈ 3 × 1035 erg s−1. The γ-ray luminosity (>100 MeV) is Lγ ≈ 5 × 1033 erg s−1 which is 0.017% of Lj . The energy budget is reasonable.

The detection of the γ-rays from HH 80–81 not only confirms again that there is a population of relativistic particles in the protostellar jet, but also makes the protostellar jet an additional high-energy astrophysics laboratory. Evidence for strong shocks has been found in the jet of HH 80–81 (e.g., Rodríguez-Kamenetzky et al. 2019), which are produced by the interaction of the jet with the environment. Diffusive Shock Acceleration (DSA) is therefore considered as the mechanism that accelerates particles to high energies (e.g., Padovani et al. 2015; Araudo et al. 2021). However, details on the acceleration mechanism are still unclear. The jet properties such as jet ionization fraction and jet temperature which can be probed through detection of molecular emission lines are crucial for investigating the acceleration mechanism (e.g., Araudo et al. 2021). Moreover, the detection of non-thermal emissions from radio to X-ray energies is helpful to determine the magnetic field in the jet, which is crucial for investigating particle acceleration mechanism and radiative processes. Follow-up intensive multi-band observations are necessary to reveal the nature of the HH 80–81 jet.

5. Conclusions

The clear detection of linearly polarized radio emission from the HH 80–81 jet (Carrasco-González et al. 2010) confirms the existence of relativistic particles in the protostellar jet. γ-rays from the HH 80–81 jet are therefore expected. We search for γ-rays from the HH 80–81 system using 10 yr Fermi-LAT data. A significant γ-ray excess is found toward the direction of HH 80–81 system. After excluding other possible γ-ray candidates, we suggest that the stable and point-like γ-ray emission is contributed by the HH 80–81 system, which is likely the non-thermal γ-rays from the HH 80–81 jet. The spectrum of the γ-ray emission extends to 1 GeV with a photon index of 3.5. Moreover, from the aspects of emission mechanism and energy budget, the observed γ-ray emission can be produced by the HH 80–81 jet. Our result suggests the protostellar jet as an efficient particle accelerator, which is proposed in theoretical studies (e.g., Padovani et al. 2015, 2016).

Acknowledgments

We thank the anonymous referee for his/her comments that helped us to improve the quality of our paper. We thank Dr. Ruizhi Yang for helpful discussions. We acknowledge financial supports from the National Natural Science Foundation of China (NSFC-11803081, NSFC-U1931114, NSFC-U2031205 and NSFC-12163006) 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).

Footnotes

  • 4  

    The γ-ray spectra of molecular clouds below several GeV usually have the photon index of ∼2.4 (e.g., Neronov et al. 2017). The steep γ-ray spectrum with Γγ = 3.53 cannot be produced by a molecular cloud.

  • 5  
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10.1088/1674-4527/ac3fad