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A Survey of Active Galaxies at TeV Photon Energies with the HAWC Gamma-Ray Observatory

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Published 2021 January 29 © 2021. The American Astronomical Society. All rights reserved.
, , Citation A. Albert et al 2021 ApJ 907 67 DOI 10.3847/1538-4357/abca9a

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0004-637X/907/2/67

Abstract

The High Altitude Water Cherenkov (HAWC) Gamma-Ray Observatory continuously detects TeV photons and particles within its large field of view, accumulating every day a deeper exposure of two-thirds of the sky. We analyzed 1523 days of HAWC live data acquired over four and a half years, in a follow-up analysis of 138 nearby (z < 0.3) active galactic nuclei from the Third Catalog of Hard Fermi-LAT sources culminating within 40° of the zenith at Sierra Negra, the HAWC site. This search for persistent TeV emission used a maximum-likelihood analysis assuming intrinsic power-law spectra attenuated by pair production of gamma-ray photons with the extragalactic background light. HAWC clearly detects persistent emission from Mkn 421 and Mkn 501, the two brightest blazars in the TeV sky, at 65σ and 17σ level, respectively. Marginal evidence, just above the 3σ level, was found for three other known very high-energy emitters: the radio galaxy M87 and the BL Lac objects VER J0521+211 and 1ES 1215+303, the latter two at z ∼ 0.1. We find a 4.2σ evidence for collective emission from the set of 30 previously reported very high-energy sources, with Mkn 421 and Mkn 501 excluded. Upper limits are presented for the sample under the power-law assumption and in the predefined (0.5–2.0), (2.0–8.0), and (8.0–32.0) TeV energy intervals.

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1. Introduction

The nuclei of active galaxies are remarkable in possessing observed bolometric luminosities up to 1048–1049 erg s−1, surpassing the energy output of their host galaxies, while being unresolved down to the smallest physical scales observable. The stringent Requirements of extreme energy outputs in restricted volumes, together with rapid variability and the presence of powerful relativistic jets, led early on to modeling active galactic nuclei (AGNs) as accreting supermassive black holes of masses up to 109 M and accretion rates exceeding 1 M yr−1 (Hoyle & Fowler 1963; Kembhavi & Narlikar 1999). The geometry of an inner accretion disk and an outer dusty torus surrounding the black hole allows for a qualitative view of the different types of AGNs in terms of the orientation of the line of sight relative to the disk and torus axes aligned with the black hole rotation axis (Antonucci 1993). Anisotropic emission causes overestimates of the AGN luminosity for privileged lines of sight. In standard AGN scenarios, jets can be powered either by the inner regions of the radiation-dominated accretion disk (Blandford & Payne 1982; Hawley et al. 2015), or by the rapid rotation of the black hole (Blandford & Znajek 1977; Tchekhovskoy et al. 2011).

AGNs constitute the most common type of GeV γ-ray source in the sky. Most of the objects detected with the Large Area Telescope (LAT) on board Fermi are extragalactic, and the vast majority of them are blazars, either BL Lac objects or flat-spectrum radio quasars (Acero et al. 2015; Ajello et al. 2017). Relativistic models considering the alignment of AGN jets with our line of sight can account, in most cases, for the high energetics and rapid variability observed in γ-ray emission up to TeV energies (Dermer & Schlickeiser 1993; Liao 2018). The detection of radio galaxies and Seyfert galaxies with the Fermi-LAT and Imaging Atmospheric Cherenkov Telescopes (IACTs) provides further insight into the jet-powered view of AGNs under a unified scheme, as probes of off-axis γ-ray emission (Rieger & Levinson 2018).

For more than three decades, AGNs have been suspected sources of ultra-high-energy cosmic rays: acceleration may occur in the central engine, the relativistic jet, or distant radio lobes (Hillas 1984; Kotera & Olinto 2011). The coincidence of the 290 TeV neutrino event IceCube-170922A with the γ-ray emitting BL Lac TXS 0506+056 provided fresh observational support (IceCube Collaboration et al. 2018). Observations at the highest photon energies are important to characterize the extreme energetics of AGN. Although space-borne instruments conduct deep and wide field-of-view observations leading to all-sky surveys in the high-energy range (HE; 0.1–100 GeV), most of our knowledge in the very high-energy (VHE; ≳100 GeV) regime comes from pointed observations with IACTs, nowadays able to detect individual sources with fluxes greater than 1/1000 that of the Crab Nebula. IACT observatories rely on performing deep, but sparse, follow-up observations of active objects; adequate selections of targets; and surveying regions of particular interest. They are limited by their relatively small fields of view, with the most extensive survey performed with these instruments to date, the dedicated H.E.S.S. Galactic Plane Survey, covering ∼0.3 sr in the course of a decade (H.E.S.S. Collaboration et al. 2018).

Compensating their lower instantaneous sensitivity with steradian fields of view, high-altitude air shower arrays are now able to perform unbiased continuous monitoring of known AGNs, in particular Markarian 421 and Markarian 501 (Abeysekara et al. 2017a). This precludes their potential to conduct large surveys with sufficient depth to detect extragalactic TeV sources. The main hurdle for reaching the extragalactic sky is the access to the lowest-photon energies, because our view of the TeV sky is impaired by extragalactic background light (EBL). Photon–photon pair production of TeV γ-rays with EBL photons sets a physical limit on how far in distance and in spectral range extragalactic sources can be observed (Salamon & Stecker 1998). Pair production proceeds efficiently just above its kinematic threshold, making TeV γ-rays prone to interact with infrared radiation.

This paper presents an AGN follow-up survey performed with four and a half years of full-operations data from the High Altitude Water Cherenkov (HAWC) Gamma-Ray Observatory, building on the preliminary release of this work with a somewhat smaller HAWC data set (Carramiñana et al. 2019). The HAWC time-integrated data cover ∼60% of the sky, extending the Fermi-LAT all-sky survey to a search for persistent TeV γ-ray emission. The HAWC survey encompasses all AGNs in the Third Catalog of Hard Fermi-LAT sources (3FHL) accessible from the HAWC site with a redshift z ≤ 0.3, of which about 20% have been previously reported in the VHE range through IACT-pointed observations in different states of activity. The paper is organized as follows: Section 2 describes the HAWC observatory, its data, and standard analysis; Section 3 provides a brief review of the EBL and its effect on TeV spectra; Section 4 presents the sample of AGNs drawn from the 3FHL catalog, with due considerations of ground-based IACT observations; and Section 5 discusses the dedicated follow-up study of the sample, leading to the summary and conclusions in Section 6.

2. The HAWC Gamma-Ray Observatory

HAWC is a wide field-of-view TeV γ-ray observatory optimized for surveying cosmic high-energy sources. It is located inside the Parque Nacional Pico de Orizaba, in the Mexican state of Puebla. The HAWC array occupies a relatively flat area of the Volcán Sierra Negra mountain, at an altitude of 4100 m, centered at geographical latitude 18.995°N and longitude 97.308°W. HAWC has achieved a ≳95% duty cycle, allowing it to survey two-thirds of the sky every sidereal day with sufficient depth to detect the Crab Nebula at the 5σ level (Abeysekara et al. 2017b). This study improves on the 2HWC survey performed with the first year and a half of data, which allowed the detection of 39 sources of TeV γ-rays (Abeysekara et al. 2017c). The most recent HAWC all-sky survey, 3HWC, uses the same data as here. It contains 65 TeV γ-ray sources, most of them along the Galactic Plane, including the 189σ detection of the Crab Nebula (Albert et al. 2020).

2.1. The HAWC Detector

HAWC is an extensive air shower (EAS) array, sampling in detail secondary particles produced by primary cosmic rays in the upper atmosphere. HAWC data analysis can distinguish between hadronic and γ-ray-induced cascades through their different charge distributions at the ground. The observatory consists of a dense array of 300 large water Cherenkov detectors (WCDs) covering collectively a physical area larger than 22,000 m2. Each WCD is a cylindrical tank of 7.3 m diameter and 5 m height, filled with 180 m3 of water and instrumented with four upward-facing photomultiplier tubes (PMTs) at its base. The signals from the 1200 PMT channels are brought to the data acquisition system, located near the center of the array, to be processed in real time. HAWC has been in full operation since its inauguration on 2015 March 20, after two years of gathering data with a partial array configuration (Abeysekara et al. 2016). Further details about the observatory can be found in Abeysekara et al. (2017b).

2.2. HAWC Data and Standard Analysis

The HAWC array records about 25,000 events per second, the vast majority caused by hadronic cosmic rays. Each data record contains the particle arrival timing and deposited charge on each of the 1200 PMTs, which are used to locate the event in the sky and to perform photon/hadron discrimination. The analysis presented here follows the validation observation of the Crab Nebula, both in the γ-hadron cuts used and in partitioning the data in nine bins according to the fraction of channels hit, as indicated in Table 2 of Abeysekara et al. (2017b). The bin number provides a coarse measure of the primary energy, with an important overlap in the energy distributions of different bins due to the fluctuations inherent in the development of particle cascades. Lower bins relate to lower energies, and the spatial resolution improves with increasing bin number, with the detailed detector response depending on the spectrum of the source and its declination. The lowest bin used in this analysis, ${ \mathcal B }=1$, has peak sensitivity around 0.5 TeV for a source with a power-law spectrum of index 2.63 culminating at the zenith, as the Crab Nebula.

The HAWC sky surveys have a mean photon energy of about 7 TeV and one-year sensitivity between 50 and 100 mCrab (Abeysekara et al. 2017c). HAWC data analysis is based on computing the likelihood ratio of a source+background to a background-only model, given by the test statistic,

Equation (1)

where ${ \mathcal L }(A)$ is the likelihood of model A, given by the product of the probability density function computed at each point of the region of interest. The test statistics (Equation (1)) refers to the comparison of a background-only model (B) and a background+source model (S + B). Given a TS value, its statistical significance can be approximated by $s=\pm \sqrt{\mathrm{TS}}$, with the sign indicating an excess or deficit relative to the background. For all-sky surveys, like 2HWC, the analysis is performed by optimizing TS on every pixel of a Nside = 1024 HEALPix grid model of the observable sky (Górski et al. 2005). The source model generally consists of either a point-source or an extended-source hypothesis following a simple power-law spectrum of fixed spectral index, with free normalization. Joint normalization and spectral index optimizations are then performed to further characterize detected sources. The analysis presented here is performed similarly to that of the 2HWC, although on predefined sky locations and including the attenuation of TeV photons caused by their interaction with extragalactic background light. We use 1523 days of live data acquired between 2014 November 26 and 2019 June 3. The live data comprises 92.3% of the total time span. The data deficit is due mostly to quality cuts and run losses during bad weather.

The comparison of HAWC and Fermi-LAT data requires the consideration of the respective systematic uncertainties of each experiment. HAWC fluxes presented here have an estimated 15% systematic uncertainty (Section 2.2); those in the 3FHL catalog are quoted to have uncertainties of 9% in the 150–500 GeV band, and 15% in 0.5–2.0 TeV (Ajello et al. 2017).

3. Photon–Photon Attenuation by Extragalactic Background Light

The astrophysical relevance of the γγ → e+e process as an absorption mechanism for distant sources was pointed out by Gould & Schréder (1966, 1967a, 1967b), first in consideration of the cosmic microwave background, and later for more generic backgrounds. Photon–photon pair production is described by the cross section ${\sigma }_{\gamma \gamma }=\pi {r}_{e}^{2}\,\psi (\omega )$, with re the classical electron radius, and ψ an analytical function of $\omega =\sqrt{{E}_{1}{E}_{2}(1-\mu )/2}$, the energy of each photon in the center of momentum frame, a relativistic invariant given by the product of the energies of the two photons in an arbitrary frame, E1 = Eγ, E2 = , and $\mu =\cos \theta $, where θ is their interaction angle. Pair production requires $\omega \,\geqslant {m}_{e}{c}^{2}$, with the cross section maximized at $\omega \approx 1.4\,{m}_{e}{c}^{2}\,\Rightarrow {E}_{\gamma }h\nu \approx 2{({m}_{e}{c}^{2})}^{2}$$0.5\,\mathrm{TeV}\cdot \mathrm{eV}$. Hence, 1 TeV γ-rays are prone to interact with near-infrared photons of 0.5 eV (λ ≃ 2.5 μm), while a 100 TeV photon is to interact with far-infrared extragalactic light, λ ≃ 250 μm.

The absorption of high-energy photons from a distant source of redshift z traversing through intervening radiation is governed by the optical depth,

Equation (2)

where the photon density nν may describe local and/or cosmic intervening radiation fields.32 In the case of an evolving cosmic field, a dependence on redshift nν = nν(z) may be introduced. The photon path is integrated using the cosmological light-travel distance dℓ = c dz/(1 + z)H(z). The probability that the γ-ray survives the journey is $\exp (-\tau )$. Given the usual functional form of $\tau ({E}_{\gamma },z)$, the survival probability behaves close to a cutoff once τ = 1 is reached. In principle, the opacity of the universe to VHE γ-rays is calculated given nν(z). In practice, measurements of the light backgrounds are difficult to perform, particularly in the infrared and far-infrared, and observations of distant γ-ray sources become relevant for constraining the spectral shape of the EBL, both in the local universe and as a function of redshift (Acciari et al. 2019). Here we use the EBL model of Domínguez et al. (2011), which fits well observations by Fermi-LAT and IACTs.

We note that two of the sources in our sample, NGC 1068 and M87, are located below the lower bound of the redshift range of most EBL models, which start at z = 0.01. For these sources we assume that the photon density has not changed between now and then, to approximate,

Equation (3)

The analysis here assumes intrinsic power-law spectra for the sources. We can describe the overall effect of the EBL, estimating the observed integrated photon flux (Nobs; photons cm−2 s−1) for an intrinsic spectrum of index α, introducing the relation,

Equation (4)

where ${N}_{\mathrm{intr}}(\geqslant {E}_{0})\propto {E}_{0}^{-\alpha +1}/(\alpha -1)$ is the integral of the differential intrinsic spectrum. The resulting horizon scale zh depends strongly on E0 and weakly on the power-law index α. Using the EBL model of Domínguez et al. (2011), we get zh = 0.106 for α = 2.5 and E0 = 0.5 TeV, justifying the bound z ≤ 0.3 considered for this study. The value of zh at 0.5 TeV ranges from 0.096 for α = 2.0 to 0.113 for α = 3.0; on the other hand, the dependence of zh with E0 is exponential, going from zh = 0.728 at 0.1 TeV to zh = 0.068 at E0 =1.0 TeV, for α = 2.5, as presented in Carramiñana et al. (2019).

We compared three main EBL models for the case α = 2.5, E0 = 0.5 TeV. When considering the upper and lower uncertainties of Domínguez et al. (2011), we get that zh is in the interval $\left(0.098,0.121\right)$, which is consistent with zh = 0.102 obtained with Gilmore et al. (2012) and zh = 0.099 with Franceschini & Rodighiero (2017). These three models coincide within a ∼10% systematic uncertainty.

4. Active Galaxies above 10 GeV: 3FHL and TeV Pointed Observations

4.1. A Sample of Active Galaxies from the 3FHL Catalog

The 3FHL catalog contains 1556 objects detected at photon energies between 10 GeV and 2 TeV in the first seven years of Fermi operations, from 2008 August 4 to 2015 August 2 (Ajello et al. 2017). Of the 3FHL entries, 79% are identified or associated with extragalactic objects, mostly BL Lac objects and flat-spectrum radio quasars (48% and 11% of the 3FHL, respectively). As defined in the different LAT catalogs, an association refers to the positional coincidence of the HE γ-ray source with an object having suitable properties, while an identification requires measuring correlated variability between the γ-ray source and its associated counterpart. These criteria result in 9% of the sources in 3FHL listed as identified and 78% as associated, while the remaining 13% are unassociated or unclassified. It is customary in Fermi catalogs to distinguish between identifications using uppercase letters, such as RDG for identified radio galaxies, and associations using lowercase letters, such as rdg for an association with a radio galaxy.

The 3FHL catalog partitions its nominal wide 10 GeV–2 TeV spectral interval into five bands. The majority of AGNs are detected at TS > 10 in the two lower-energy bands, 10–20 and 20–50 GeV. Spectral cutoffs at energies ≲50 GeV are common, as can be noticed in our sample: of the 138 AGNs, 50 (14) are detected above 5σ in the LAT 50–150 GeV (150–500 GeV) intermediate band(s). Furthermore, Mkn 421 and Mkn 501 are the only two AGNs studied here with TS > 25 in the 0.5–2.0 TeV LAT band, the spectral intersection with HAWC.

The 3FHL catalog assigns a flag to sources as follows: TeV = P, when reported at VHE energies; TeV = C for candidates for TeV detection; and TeV = N for nonreported and not candidates. TeV candidates are by definition sources undetected with VHE ground-based instruments whose LAT data satisfy three conditions: (i) significance s > 3 above 50 GeV; (ii) spectral index <3; (iii) integrated photon flux N(>50 GeV) > 10−11 cm−2 s−1. In addition, the 3FHL catalog assesses source variability through the Vbayes parameter, the number of Bayes blocks needed to model the light curve. A source with Vbayes = 1 is consistent with a constant flux (Ajello et al. 2017).

We select 3FHL catalog sources identified or associated with AGNs with redshifts z ≤ 0.3 that culminate within 40° of the zenith as viewed from the HAWC site. For the selection of the follow-up sample we used the current version of the 3FHL catalog available at the Fermi Science Support Center.33 The sample of 138 objects is summarized in Table 1. It contains 32 objects flagged TeV = P (positive VHE detections), and 32 TeV = C (candidates). The sample is grouped in five source classes, defined in the 3FHL, of distinct properties (Table 1):

  • 1.  
    Starburst galaxies are the nearest and apparently less luminous AGNs in Fermi-LAT. While prone to host active nuclei, the prevailing γ-ray emission is dominated by cosmic rays produced in star formation processes. NGC 1068 is the only 3FHL starburst inside the decl. range of our selection, and the lowest redshift AGN in our sample (Figure 1). Intriguingly, it has recently been associated with one of the hot spots in the neutrino sky, as observed by the IceCube observatory (Aartsen et al. 2020).
  • 2.  
    Radio galaxies (RDG) are the nearest extragalactic GeV sources dominated by an active nucleus. They appear up to three orders of magnitude more luminous than starbursts (Figure 1). Radio galaxies are attractive targets for HAWC because the relatively close distance translates in a reduced photon–photon attenuation, potentially allowing sampling of the far-infrared portion of the EBL through observations above ∼10–30 TeV. Six 3FHL catalog radio galaxies transit through the field of view of HAWC, with redshifts between z = 0.0042, for M87, and z = 0.029, for NGC 1218. Four of them have been claimed as VHE sources by IACT collaborations34  (Rieger & Levinson 2018).
  • 3.  
    BL Lacertae objects (BLL) constitute the majority of known GeV and VHE γ-ray emitters. They dominate the 3FHL catalog, in particular for redshifts z ≲ 0.7. As expected, BL Lac objects completely dominate our sample with 6 identifications and 111 associations. They span most of the z ≤ 0.3 range, led by Mkn 421 at z = 0.031, the nearest and brightest 3FHL AGN.
  • 4.  
    Flat-spectrum radio quasars (FSRQ) are the most distant and seemingly luminous blazars. Our sample includes six such sources, with redshifts ranging from z = 0.158 to z = 0.222. Of these, only PKS 0736+017 has been reported as a TeV source, the nearest FSRQ claimed in the VHE range so far (H.E.S.S. Collaboration et al. 2020).
  • 5.  
    Blazars candidates of uncertain type (bcu) are AGNs poorly characterized across the electromagnetic spectrum. The 3FHL catalog contains 290 bcus, a good fraction of them in the Southern sky, all with radio-loud associations, and 90% of them lacking redshift measurements. Only eight such objects satisfy our selection criteria. They are relatively near objects, between z = 0.036 and z = 0.128 (Figure 1). None is a VHE source, but three of them are flagged as TeV candidates.

Figure 1 shows the luminosity per solid angle unit, dL(z) fe, with fe being the (10 GeV–1 TeV) energy flux from the 3FHL catalog, and dL(z) the luminosity distance. The actual luminosity of each source depends on the unknown solid angle of emission.

Figure 1.

Figure 1. Luminosity as a function of redshift for the 3FHL sample studied with HAWC. Note the clear separation in redshift and luminosities between the single starburst (yellow point, the nearest object), radio galaxies (red), intermediate distance bcus (in blue), and the more distant group of FSRQs (orange). BL Lac objects, in gray, span most of the redshift interval and have the highest observed luminosities.

Standard image High-resolution image

Table 1.  Classes of AGN Selected

Source Class Number of Sources
  Identified Associated Total
BL Lac objects  (BLL + bll) 6 111 117
Blazars candidates of uncertain type  (bcu) 8 8
Radio galaxies  (RDG + rdg) 2 4 6
Flat-spectrum radio quasars  (FSRQ + fsrq) 1 5 6
Starburst galaxies  (SBG + sbg) 0 1 1
Total number of sources in sample 9 129 138

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Prior to the analysis, we identified five objects in our sample close in the sky to bright 2HWC sources that could affect their analysis. We set a conservative distance threshold of 5, equivalent to five times the 68% containment radius of ${ \mathcal B }=1$, the bin where contamination by a bright source nearby is more likely. As our sample excludes by construction low Galactic latitudes, with all selected sources located at $| b| \gt 5^\circ $, the only concerns were for:

  • 1.  
    3FHL J0521.7+2112, located at 3.07 degrees from the Crab Nebula;
  • 2.  
    3FHL J1041.7+3900, 3FHL J1100.3+4020, and 3FHL J1105.8+3944, located respectively at 4.51, 2.28, and 1.57 degrees from Markarian 421;
  • 3.  
    3FHL J1652.7+4024, located at 0.68 degrees from Markarian 501.

Only 3FHL J0521.7+2112 is associated with a well-known VHE source, the BL Lac object VER J0521+211. The other four sources are flagged as TeV = N. These five objects were analyzed and tested later for contamination from the bright neighbor source, as detailed for VER J0521+211 in Section 5.3.2. From the respective tests we decided to exclude 3FHL J1105.8+3944 and 3FHL J1652.7+4024 from our sample.

We also revised the redshift measurements listed in the 3FHL catalog. Our sample is dominated by BL Lac objects, often with questionable redshifts. Redshifts from the 3FHL catalog were systematically collated with the SIMBAD and NED databases, with the Sloan Digital Sky Survey (SDSS) database consulted in some particular cases. We used as references the redshift surveys of Shaw et al. (2013) and Healey et al. (2008), and in particular the dedicated survey of TeV sources performed with the 10.4 m Gran Telescopio Canarias (GTC) by Paiano et al. (2017). While we decided to systematically use the redshifts listed in the 3FHL catalog, we list in Table 2 sources with disputed values, for future reference.

Table 2.  Sources with Redshifts Under Question

3FHL Name Associated Source Redshift Other Redshifts Notes References
(1) (2) (3) (4) (5) (6)
3FHL J0112.1+2245 S2 0109+22 0.265 z > 0.35, z < 0.67 Detected up to 200 GeV. (1), (2), (3)
3FHL J0521.7+2112 TXS 0518+211 0.108 >0.18 Emission up ≳1 TeV. (4), (5), (6)
3FHL J0650.7+2503 1ES 0647+250 0.208 >0.29 z ≃ 0.41 host properties. (4), (5), (7)
3FHL J1230.2+2517 ON 246 0.135 >0.10 (5), (8)
3FHL J2323.8+4210 BZB J2323+4210 0.059 ≥0.267 TeV candidate (5)

Note. Column (2) shows the object associated with the 3FHL source, whose redshift is under question; column (3) display the entry for the redshift in the 3FHL catalog; column (4) shows other redshift estimates, or bounds; column (6) shows the reference for the redshift value/bound and for the comments shown in column (5).

References. (1) Healey et al. (2008); (2) Paiano et al. (2016); (3) MAGIC Collaboration et al. (2018); (4) Shaw et al. (2013); (5) Paiano et al. (2017); (6) Prokoph et al. (2015); (7) Kotilainen et al. (2011); (8) Nass et al. (1996).

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4.2. VHE Ground-based Observations Related to Our Sample

AGNs have been extensively studied with IACTs, with evidence of VHE γ-ray emission in almost a hundred of them (Wakely & Horan 2008; Madejski & Sikora 2016). These observations have shown that TeV flaring is an intrinsic characteristic of blazars and radio galaxies. IACT deep observations, able to reach down a few percent of the flux of the Crab Nebula in a single run, have identified high, medium, and low states of activity in several sources. However, continuous long-term coverage of the AGNs population cannot be performed with IACTs. The definition of the base level of AGN VHE emission is a pending task. Despite their lower instantaneous sensitivity, EAS arrays with efficient γ/hadron discrimination can quantify better time-averaged fluxes, integrated over long periods of time, while monitoring for flaring activity, as they continuously drift over large portions of the sky.

The first significant AGN detections at TeV energies were those of Mkn 421 and Mkn 501 (Punch et al. 1992; Quinn et al. 1996). These two Markarian galaxies have been extensively studied in the TeV range for more than two decades. They are highly variable but remain bright enough over long periods of time to have been detected by EAS arrays like the Tibet Air Shower Array and MILAGRO, both providing first unbiased views of their TeV emission on timescales of years (Bartoli et al. 2011; Abdo et al. 2014). In the last five years, HAWC has been performing an increasingly deeper monitoring of these two BL Lac objects (Abeysekara et al. 2017a). Measurements of their long-term averaged emission are presented in this paper.

IACTs have been able to go deeper and beyond these two well-known blazars by implementing sophisticated technologies to achieve lower energy thresholds, around or below 100 GeV, with improved sensitivities. This has permitted us to peer through the EBL horizon up to redshifts z ≲ 0.9 (Abeysekara et al. 2015; Ahnen et al. 2015), while sampling different types of extragalactic sources, such as:

  • 1.  
    The starbursts galaxies M82 and NGC 253, detected by VERITAS and H.E.S.S. respectively, with fluxes below 1% of the Crab (Ohm 2016).
  • 2.  
    Four Faranoff-Riley type I radio galaxies: Centaurus A (too Southern for HAWC); NGC 1275, the most prominent galaxy of the massive Perseus cluster; 3C 264, newly reported as a VHE source; and M87, the massive central elliptical galaxy in the nearby Virgo cluster. We note the ambiguous classification of IC 310 and PKS 0625–35, referred as RDG in the 3FHL, and as unknown type of AGN in TeVCat (Wakely & Horan 2008) and by Rieger & Levinson (2018).
  • 3.  
    At least 60 BL Lacertae objects as VHE γ-ray sources (Wakely & Horan 2008; Ajello et al. 2017), mostly high-frequency peaked BL Lac objects (HBL; 50 sources), plus a few intermediate-frequency peaked BLL (IBL; 8 sources, including BL Lac, W Comae, and VER J0521+211, in our sample); and only two low-frequency peak BL Lacs (LBL). While most of the IACT observations have been reported with sub-TeV thresholds, we note the observations of H 1426+428 by VERITAS and HEGRA at energies between 0.25 and 2.5 TeV, reporting fluxes from 3% to 10% of the Crab (Aharonian et al. 2002; Petry et al. 2002).
  • 4.  
    Seven FSRQs, of which PKS 0736+017 is the only FSRQ detected at VHE with z < 0.3 and entering the field of view of HAWC. This object was found in a flaring state at a flux level of 100 mCrab between 100 and 300 GeV, and showing a steep spectrum (H.E.S.S. Collaboration et al. 2020).

4.3. Photon Flux Extrapolations

We calculated the expected integral photon flux above 0.5 TeV by extrapolating the spectral models and parameters listed in the 3FHL. Although in HAWC a distinction is made between the intrinsic spectrum of a source (as emitted) and the related observable parameters (attenuated by the EBL), Fermi-LAT spectral models do not need to make this distinction. The difference is minor in most of the LAT energy regime, with only a moderate increase in spectral indices for sources with z ≳ 1 (Ajello et al. 2017). Therefore, we added the attenuation effect of the EBL to the LAT spectral models. The extrapolated fluxes as a function of redshift are shown in Figure 2. Note the uncertainties in the flux extrapolations due to the uncertainties in the fit parameters, specially as they are propagated more than one order of magnitude above the 3FHL pivot energies. The horizontal red line corresponds to a photon flux of 3% of the Crab Nebula, indicative of potential HAWC detectability within the current data.  Mkn 421 and Mkn 501 stand clearly at about an order of magnitude above the red line, followed by 1ES 2344+514 and I Zw 187 (1ES1727+502), two of the nearest BL Lac objects known. The radio galaxies M87 and IC 301 are also above the flux level of interest, although with fairly large uncertainties in the extrapolation. Of the sources potentially detectable, only TXS 0210+515 is tagged as undetected in the VHE range in the 3FHL. However, we note its recent detection with MAGIC (Acciari et al. 2020).

Figure 2.

Figure 2. Photon flux extrapolations to E > 0.5 TeV using the spectral models of the 3FHL catalog and γγ attenuation by the EBL. Colors in the dots indicate the TeV flag assigned in the 3FHL catalog. The horizontal red dotted line represents a flux equivalent to 30 mCrab, which we take as a benchmark of potential HAWC detectability. We identify the VHE sources VER J0521+211 and 1ES 1215+303 with respective green rings below the red line.

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We also computed photon flux extrapolations of VHE sources within TeVCat, using simple power laws and approximating the EBL attenuation by a direct exponential in redshift (Section 3). The predictions from this second set are also rather uncertain, because IACTs observations are by nature short and sparse, reflecting different activity states, and spectra are not always fitted above 1 TeV. Five candidates stood out with extrapolated fluxes N(>0.5 TeV) ≥ 20 mCrab, four of them in common with the 3FHL extrapolation: M87, Mkn 421, Mkn 501, H 1426+428, and 1ES 2344+514. Results for the sources named in this section are shown and discussed in Section 5.

5. HAWC Follow-up Survey of 3FHL AGNs

The HAWC follow-up survey consists of a systematic search for TeV γ-ray emission from each of the 138 AGNs selected from the Fermi-LAT 3FHL catalog. We performed a maximum-likelihood test assuming a point source at the location of the presumed 3FHL counterpart with an intrinsic power-law differential flux spectra of index α attenuated by the EBL,

Equation (5)

A first analysis run was performed with a fixed spectral index, α = 2.5, fitting only the normalization K for a pivot energy E0 = 1 TeV. From this we obtained:

  • 1.  
    The compilation of TS values and 1 TeV normalizations K for the revised sample of 136 AGN;35
  • 2.  
    Statistics of significances ($s\equiv \pm \sqrt{\mathrm{TS}}$) for source classes and TeV flags. Following Wilk's theorem, under the null hypothesis the behavior of s tends to a Gaussian distribution, of mean μ(s) → 0 and standard deviation $\sigma (s)\to 1/\sqrt{N}$, for N points;
  • 3.  
    The corresponding list of 2σ (∼95% confidence level) upper limits on the normalization, K2σ, computed under the Feldman & Cousins (1998) approach, which allows only non-negative fluxes;
  • 4.  
    The comparison of flux values and upper limits with the extrapolations performed in Section 4.3;
  • 5.  
    The characterization of upper limits as function of declination and redshift.

For those sources with test statistic TS > 9 we then computed optimized spectral fits, allowing both K and α to vary. The discussion of the sources complying with this criterion is presented in Sections 5.2 and 5.3. Finally, we also computed quasi-differential limits for all the sources in the sample in three energy intervals, (0.5–2.0), (2.0–8.0), and (8.0–32) TeV, following the procedure implemented in IceCube Collaboration et al. (2017). The first energy interval, the HAWC overlap with 3FHL, is where we expect AGN emission to be brighter, while the second interval includes the peak of HAWC sensitivity. The (8.0–32.0) TeV range put bounds where the EBL attenuation is more severe. These quasi-differential limits are computed assuming α = 2.0 without consideration of EBL attenuation, as detailed in Section 4.3.3 of IceCube Collaboration et al. (2017).

5.1. The α = 2.5 AGN Search

The default spectral model for the AGN search was an index α = 2.5, as used in the 3HWC (Albert et al. 2020). However, note that here the index refers to the intrinsic spectrum and that the observed spectra will be softer. While we know from previous analyses that this index can represent fairly well the data from both Mkn 421 and Mkn 501 (Coutiño de Leon et al. 2019), photon indices in extragalactic 3FHL sources peak in the interval between 2.0 and 2.5 (Ajello et al. 2017).

5.1.1. Overall Results

The results for the complete AGN sample are shown in Table 3. The left-hand side of Figure 3 shows the histogram of significances for the sample, also displayed as the first entry of Table 4. Mkn 421 is detected with a significance $\sqrt{\mathrm{TS}}=+64.6$, and Mkn 501 with $\sqrt{\mathrm{TS}}=+16.6$. These two high-significance detections drive up the statistics of the complete sample to an overall 9σ deviation from the null hypothesis. When removing Mkn 421 and Mkn 501, the joint significance drops to a p-value of 2.2% (Figure 3, right-hand side).

Figure 3.

Figure 3. Histogram of significances for the sample whole (left) and for the clean sample, excluding Mkn 421 and Mkn 501 (right). The dotted lines correspond to normal distributions of mean zero and standard deviation one for the given number of objects. The point with $\sqrt{\mathrm{TS}}=65$ is Mkn 421, while that at 16 is Mkn 501. The three bins at s > 3 on the right-hand-side histogram contain VER J0521+211, 1ES 1215+303, and M87, each in one bin.

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Table 3.  HAWC Power-law Fits and Significances for the Revised Sample of 136 AGNs from the 3FHL Catalog

3FHL Source Counterpart Class Redshift TS $\pm \sqrt{\mathrm{TS}}$ K ± ΔK K2σ
(1) (2) (3) (4) (5) (6) (7) (8)
J0007.9+4711 RX J0007.9+4711 bll 0.2800 −4.49 −2.12 −31.9 ± 15.1 9.16
J0013.8–1855 RBS 0030 bll 0.0949 −0.10 −0.32 −2.20 ± 6.81 11.5
J0018.6+2946 RBS 0042 bll 0.1000 +0.01 +0.11 +0.10 ± 0.93 1.97
J0037.8+1239 NVSS J003750+123818 bll 0.0890 +0.47 +0.69 +0.52 ± 0.76 2.03
J0047.9+3947 B3 0045+395 bll 0.2520 −0.18 −0.42 −2.68 ± 6.38 10.3
J0056.3–0936 TXS 0053–098 bll 0.1031 −0.21 −0.46 −1.33 ± 2.88 4.53
J0059.3–0152 1RXS J005916.3–015030 bll 0.1440 +0.95 +0.98 +2.61 ± 2.67 7.93
J0112.1+2245 S2 0109+22 BLL 0.2650 +0.33 +0.57 +1.99 ± 3.47 8.88
J0123.0+3422 1ES 0120+340 bll 0.2720 +6.53 +2.56 +13.1 ± 5.13 23.4
J0131.1+5546 TXS 0128+554 bcu 0.0365 −0.85 −0.92 −1.61 ± 1.75 2.10
J0152.6+0147 PMN J0152+0146 bll 0.0800 −0.89 −0.94 −0.89 ± 0.94 1.10
J0159.5+1047 RX J0159.5+1047 bll 0.1950 +1.09 +1.04 +2.52 ± 2.41 7.31
J0211.2+1051 MG1 J021114+1051 BLL 0.2000 −0.58 −0.76 −1.92 ± 2.51 3.26
J0214.5+5145 TXS 0210+515 bll 0.0490 +2.63 +1.62 +2.43 ± 1.51 5.43
J0216.4+2315 RBS 0298 bll 0.2880 −0.08 −0.29 −1.14 ± 3.97 6.74
J0217.1+0836 ZS 0214+083 bll 0.0850 +4.58 +2.14 +1.70 ± 0.80 3.31
J0219.1–1723 1RXS J021905.8–172503 bll 0.1287 +0.01 +0.10 +1.0 ± 9.9 20.9
J0232.8+2017 1ES 0229+200 bll 0.1400 −0.28 −0.53 −0.70 ± 1.32 1.98
J0242.7–0002 NGC 1068 sbg 0.0038 +1.45 +1.21 +0.24 ± 0.20 0.65
J0308.4+0408 NGC 1218 rdg 0.0288 +0.24 +0.49 +0.17 ± 0.35 0.87
J0312.8+3614 V Zw 326 bll 0.0710 +0.48 +0.69 +0.53 ± 0.77 2.07
J0316.6+4120 IC 310 RDG 0.0189 +0.74 +0.86 +0.31 ± 0.36 1.01
J0319.8+1845 RBS 0413 bll 0.1900 +0.05 +0.22 +0.45 ± 2.08 4.64
J0319.8+4130 NGC 1275 RDG 0.0176 +0.36 +0.60 +0.21 ± 0.35 0.91
J0325.6–1646 RBS 0421 bll 0.2910 +0.07 +0.27 +12.6 ± 46.4 107
J0326.3+0226 1H 0323+022 bll 0.1470 −0.22 −0.47 −1.02 ± 2.16 3.35
J0334.3+3920 4C+39.12 rdg 0.0203 −0.91 −0.96 −0.33 ± 0.34 0.40
J0336.4–0348 1RXS J033623.3–034727 bll 0.1618 +0.19 +0.44 +1.64 ± 3.75 9.10
J0339.2–1736 PKS 0336–177 bcu 0.0656 +0.27 +0.52 +1.83 ± 3.55 8.97
J0349.3–1159 1ES 0347–121 bll 0.1850 +0.74 +0.86 +9.00 ± 10.5 30.0
J0416.8+0105 1ES 0414+009 bll 0.2870 +1.71 +1.31 +9.16 ± 7.00 22.9
J0424.7+0036 PKS 0422+00 bll 0.2680 +1.60 +1.27 +8.17 ± 6.46 21.1
J0521.7+2112 TXS 0518+211 bll 0.1080 +9.49 +3.08 +2.85 ± 0.93 4.72
J0602.0+5316 GB6 J0601+5315 bcu 0.0520 −0.17 −0.42 −0.79 ± 1.88 3.01
J0617.6–1715 TXS 0615–172 bll 0.0980 +1.51 +1.23 +7.46 ± 6.07 19.7
J0648.7+1517 RX J0648.7+1516 bll 0.1790 +0.26 +0.51 +1.00 ± 1.97 4.92
J0650.7+2503 1ES 0647+250 bll 0.2030 +0.01 +0.10 +0.24 ± 2.43 5.12
J0656.2+4235 4C +42.22 bll 0.0590 −0.65 −0.81 −0.71 ± 0.88 1.13
J0725.8–0056 PKS 0723–008 bcu 0.1270 −2.76 −1.66 −3.48 ± 2.09 1.58
J0730.4+3307 1RXS J073026.0+330727 bll 0.1120 +0.96 +0.98 +1.21 ± 1.23 3.66
J0739.3+0137 PKS 0736+01 fsrq 0.1910 −0.96 −0.98 −3.40 ± 3.47 3.93
J0753.1+5354 4C +54.15 bll 0.2000 +0.78 +0.88 +15.2 ± 17.3 49.6
J0757.1+0957 PKS 0754+100 bll 0.2660 −0.12 −0.34 −1.39 ± 4.04 6.80
J0809.7+3457 B2 0806+35 bll 0.0830 +0.09 +0.30 +0.26 ± 0.87 2.03
J0809.8+5218 1ES 0806+524 bll 0.1371 +0.27 +0.52 +3.59 ± 6.9 17.3
J0816.4–1311 PMN J0816–1311 bll 0.0460 −4.67 −2.16 −3.23 ± 1.49 0.89
J0816.4+5739 SBS 0812+578 bll 0.2940 −0.55 −0.74 −2.32 ± 3.14 4.16
J0816.9+2050 SDSS J081649.78+205106.4 bll 0.0583 −2.72 −1.65 −0.77 ± 0.47 0.36
J0828.3+4153 GB6 B0824+4203 bll 0.2262 +0.84 +0.92 +5.80 ± 6.33 18.4
J0831.8+0429 PKS 0829+046 bll 0.1738 +2.00 +1.41 +3.62 ± 2.56 8.72
J0847.2+1134 RX J0847.1+1133 bll 0.1982 +0.09 +0.29 +0.72 ± 2.45 5.65
J0850.6+3454 RX J0850.5+3455 bll 0.1450 +1.43 +1.20 +2.33 ± 1.95 6.20
J0908.9+2311 RX J0908.9+2311 bll 0.2230 −2.15 −1.47 −3.98 ± 2.71 2.32
J0912.4+1555 SDSS J091230.61+155528.0 bll 0.2120 −0.47 −0.69 −1.73 ± 2.52 3.54
J0930.4+4952 1ES 0927+500 bll 0.1867 −4.58 −2.14 −20.4 ± 9.53 5.60
J1015.0+4926 1H 1013+498 bll 0.2120 +0.03 +0.19 +2.14 ± 11.5 25.1
J1027.0–1749 1RXS J102658.5–174905 bll 0.2670 +0.10 +0.32 +14.6 ± 45.5 105
J1041.7+3900 B3 1038+392 bll 0.2084 −0.51 −0.71 −3.15 ± 4.43 6.01
J1053.6+4930 GB6 J1053+4930 bll 0.1404 +0.31 +0.56 +2.97 ± 5.33 13.8
J1058.6+5628 TXS 1055+567 BLL 0.1433 −1.62 −1.27 −15.5 ± 12.2 11.7
J1100.3+4020 RX J1100.3+4019 bll 0.2250 +2.67 +1.63 +9.08 ± 5.56 20.3
J1104.4+3812 Mkn 421 BLL 0.0310 +4166.97 +64.55 +29.5 ± 0.5 30.6
J1117.0+2014 RBS 0958 bll 0.1380 +5.28 +2.30 +3.00 ± 1.31 5.63
J1120.8+4212 RBS 0970 bll 0.1240 +1.42 +1.19 +2.73 ± 2.29 7.29
J1125.9–0743 1RXS J112551.6–074219 bll 0.2790 −2.74 −1.65 −23.2 ± 14.0 10.8
J1136.8+2549 RX J1136.8+2551 bll 0.1560 −1.13 −1.06 −1.74 ± 1.64 1.75
J1140.5+1528 NVSS J114023+152808 bll 0.2443 −0.59 −0.77 −2.41 ± 3.13 4.00
J1142.0+1546 MG1 J114208+1547 bll 0.2990 −0.93 −0.96 −4.08 ± 4.24 4.94
J1145.0+1935 3C 264 rdg 0.0216 +3.61 +1.90 +0.44 ± 0.24 0.92
J1150.3+2418 OM 280 bll 0.2000 +7.15 +2.67 +6.24 ± 2.33 10.9
J1154.1–0010 1RXS J115404.9–001008 bll 0.2535 −0.28 −0.53 −3.27 ± 6.19 9.46
J1204.2–0709 1RXS J120417.0–070959 bll 0.1850 −2.30 −1.52 −9.58 ± 6.31 5.09
J1217.9+3006 1ES 1215+303 bll 0.1300 +11.36 +3.37 +4.64 ± 1.38 7.39
J1219.7–0312 1RXS J121946.0–031419 bll 0.2988 −0.94 −0.97 −10.0 ± 10.3 12.4
J1221.3+3010 PG 1218+304 bll 0.1837 +5.02 +2.24 +5.23 ± 2.34 9.92
J1221.5+2813 W Comae bll 0.1029 +6.03 +2.45 +2.33 ± 0.95 4.24
J1224.4+2436 MS 1221.8+2452 bll 0.2187 +0.55 +0.74 +1.99 ± 2.68 7.32
J1229.2+0201 3C 273 FSRQ 0.1583 −1.97 −1.40 −3.48 ± 2.48 2.15
J1230.2+2517 ON 246 bll 0.1350 +0.43 +0.66 +0.86 ± 1.31 3.46
J1230.8+1223 M87 rdg 0.0042 +12.93 +3.60 +0.56 ± 0.16 0.88
J1231.4+1422 GB6 J1231+1421 bll 0.2559 −0.09 −0.30 −1.01 ± 3.40 5.82
J1231.7+2847 B2 1229+29 bll 0.2360 +0.00 +0.05 +0.18 ± 3.30 6.75
J1253.7+0328 MG1 J125348+0326 bll 0.0657 −3.80 −1.95 −1.36 ± 0.70 0.46
J1256.2–1146 PMN J1256–1146 bcu 0.0579 +0.26 +0.51 +0.84 ± 1.63 4.11
J1310.3–1158 TXS 1307–117 bll 0.1400 −3.50 −1.87 −11.4 ± 6.10 4.11
J1341.2+3959 RBS 1302 bll 0.1715 −0.97 −0.99 −3.35 ± 3.40 3.92
J1402.6+1559 MC 1400+162 bll 0.2440 +1.78 +1.33 +4.14 ± 3.10 10.3
J1411.8+5249 SBS 1410+530 bcu 0.0765 +0.24 +0.49 +1.40 ± 2.84 7.12
J1418.0+2543 1E 1415.6+2557 bll 0.2363 +0.27 +0.52 +1.60 ± 3.07 7.78
J1419.4+0444 SDSS J141927.49+044513.7 bll 0.1430 +0.16 +0.40 +0.74 ± 1.85 4.50
J1419.7+5423 OQ 530 bll 0.1525 +0.30 +0.55 +5.94 ± 10.8 27.6
J1428.5+4240 H 1426+428 bll 0.1292 +1.58 +1.26 +3.18 ± 2.54 8.18
J1436.9+5639 RBS 1409 bll 0.1500 +2.38 +1.54 +21.0 ± 13.6 48.1
J1442.8+1200 1ES 1440+122 bll 0.1631 +3.53 +1.88 +3.37 ± 1.80 6.95
J1449.5+2745 B2.2 1447+27 bll 0.2272 +0.24 +0.49 +1.49 ± 3.03 7.46
J1500.9+2238 MS 1458.8+2249 bll 0.2350 +3.06 +1.75 +5.10 ± 2.91 11.0
J1508.7+2708 RBS 1467 bll 0.2700 +0.15 +0.38 +1.48 ± 3.89 9.29
J1512.2+0203 PKS 1509+022 fsrq 0.2195 −1.84 −1.36 −5.73 ± 4.23 3.81
J1518.5+4044 GB6 J1518+4045 bll 0.0652 +0.91 +0.96 +0.83 ± 0.87 2.57
J1531.9+3016 RX J1531.9+3016 bll 0.0653 +0.03 +0.18 +0.10 ± 0.57 1.25
J1543.6+0452 CGCG 050–083 bcu 0.0400 −5.82 −2.41 −1.04 ± 0.43 0.24
J1554.2+2010 1ES 1552+203 bll 0.2223 +1.76 +1.33 +3.50 ± 2.64 8.81
J1603.8+1103 MG1 J160340+1106 bll 0.1430 −0.17 −0.41 −0.61 ± 1.50 2.41
J1615.4+4711 TXS 1614+473 fsrq 0.1987 −1.08 −1.04 −8.29 ± 7.99 8.82
J1643.5–0646 NVSS J164328–064619 bcu 0.0820 −0.00 −0.01 −0.02 ± 1.61 3.23
J1647.6+4950 SBS 1646+499 bll 0.0475 +0.10 +0.32 +0.38 ± 1.21 2.82
J1653.8+3945 Mkn 501 BLL 0.0330 +276.97 +16.64 +7.74 ± 0.49 8.72
J1719.2+1745 PKS 1717+17 bll 0.1370 −0.32 −0.56 −0.72 ± 1.28 1.90
J1725.4+5851 7C 1724+5854 bll 0.2970 −1.94 −1.39 −99.0 ± 71.0 63.5
J1728.3+5013 I Zw 187 bll 0.0550 −0.05 −0.22 −0.32 ± 1.44 2.57
J1730.8+3715 GB6 J1730+3714 bll 0.2040 −0.21 −0.45 −1.71 ± 3.78 5.86
J1744.0+1935 S3 1741+19 bll 0.0830 +1.62 +1.27 +0.83 ± 0.66 2.17
J1745.6+3950 B2 1743+39C bll 0.2670 +0.04 +0.21 +1.47 ± 7.11 15.5
J1813.5+3144 B2 1811+31 bll 0.1170 −1.68 −1.30 −1.59 ± 1.23 1.14
J1917.7–1921 1H 1914–194 bll 0.1370 +0.01 +0.12 +1.64 ± 13.6 28.9
J2000.4–1327 NVSS J200042–132532 fsrq 0.2220 −0.76 −0.87 −15.2 ± 17.4 21.1
J2014.4–0047 PMN J2014–0047 bll 0.2310 +1.23 +1.11 +6.12 ± 5.51 17.1
J2039.4+5219 1ES 2037+521 bll 0.0540 −0.94 −0.97 −1.70 ± 1.75 2.04
J2042.0+2428 MG2 J204208+2426 bll 0.1040 +0.58 +0.76 +0.67 ± 0.89 2.44
J2055.0+0014 RGB J2054+002 bll 0.1508 −0.26 −0.51 −1.27 ± 2.51 3.78
J2108.8–0251 TXS 2106–030 bll 0.1490 −0.55 −0.74 −2.23 ± 3.01 4.03
J2143.5+1742 OX 169 fsrq 0.2110 +0.18 +0.42 +1.03 ± 2.43 5.82
J2145.8+0718 MS 2143.4+0704 bll 0.2350 −1.02 −1.01 −3.65 ± 3.61 4.14
J2150.2–1412 TXS 2147–144 bll 0.2290 +0.01 +0.10 +2.02 ± 20.2 42.7
J2202.7+4216 BL Lacertae BLL 0.0690 −0.25 −0.50 −0.50 ± 1.0 1.53
J2250.0+3825 B3 2247+381 bll 0.1190 −0.27 −0.52 −0.86 ± 1.67 2.54
J2252.0+4031 MITG J2252+4030 bll 0.2290 −0.78 −0.88 −5.03 ± 5.71 6.92
J2314.0+1445 RGB J2313+147 bll 0.1625 +1.37 +1.17 +1.97 ± 1.68 5.29
J2322.6+3436 TXS 2320+343 bll 0.0980 +0.01 +0.09 +0.09 ± 1.06 2.23
J2323.8+4210 1ES 2321+419 bll 0.0590 −3.79 −1.95 −1.64 ± 0.84 0.57
J2329.2+3755 NVSS J232914+375414 bll 0.2640 +0.04 +0.19 +1.17 ± 6.03 13.3
J2338.9+2123 RX J2338.8+2124 bll 0.2910 +2.91 +1.71 +6.76 ± 3.97 14.7
J2346.6+0705 TXS 2344+068 bll 0.1720 +2.24 +1.50 +3.33 ± 2.23 7.82
J2347.0+5142 1ES 2344+514 bll 0.0440 +2.09 +1.45 +1.93 ± 1.34 4.62
J2356.2+4035 NVSS J235612+403648 bll 0.1310 +0.01 +0.10 +0.22 ± 2.22 4.64
J2359.3–2049 TXS 2356–210 bll 0.0960 −0.06 −0.23 −1.97 ± 8.42 15.0

Note. Column (3) uses the identification (uppercase) or association (lowercase) class as given in the 3FHL (described in Section 4.1). Column (4) shows the redshift entry in the 3FHL, used in our analysis. Columns (5) and (6) show the test statistics (TS) and significances ($\pm \sqrt{\mathrm{TS}}$) estimated, allowing fluxes to be positive or negative. Column (7) shows that K is the power-law normalization at 1 TeV in units of 10−12 TeV−1 cm−2 s−1, and column (8), K2σ, its corresponding 2σ upper limit in the same units, computed following Feldman & Cousins (1998).

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Table 4.  Average Significances for Different Groups of Sources

Source Number Significances p-value
Group of Objects Mean Std. dev  
  N μ(s) σs $P\left[\mu (s)\gt x\right]$
(1) (2) (3) (4) (5)
All 136 +0.769 5.762 5.58 × 10−19
All–Mkn 134 +0.175 1.209 0.022
Starburst 1 +1.21 0.113
Radio galaxies 6 +1.082 1.403 4.03 × 10−3
BL Lacs–Mkn 113 +0.220 1.179 9.75 × 10−3
FSRQ + fsrq 6 −0.872 0.609 0.984
bcu 8 −0.487 1.028 0.916
TeV = P (clean) 30 +0.768 1.228 1.29 × 10−5
TeV = C (clean) 32 +0.124 1.152 0.241
TeV = N (clean) 72 −0.050 1.142 0.665

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Three more objects showed marginally significant test statistic TS > 9: M87 (TS = 12.9); 1ES 1215+303 (TS =11.4); and VER J0521+211 (TS = 9.5). We note that the random probability of having three TS > 9 values in 134 trials, once Mkn 421 and Mkn 501 are excluded, is 8.5 × 10−4. These three tentative sources have favorable declinations for HAWC, $\left|\delta -19^\circ \right|\lesssim 10^\circ $, allowing for transits of more than 6 hr. Spectral fits for the five TS > 9 sources are presented in Section 5.3.

5.1.2. Upper Limits and Sensitivity

The K2σ upper limits span a large range of values: from 2.4 × 10−13 TeV−1 cm−2 s−1 (3FHL J1543.6+0452 at z =0.040) to 10−10 TeV−1 cm−2 s−1 (3FHL J0325.6–1646 at z =0.291). Upper limits are sensitive to both the declination and redshift of the source, as shown in Figure 4. We performed a fit to the set of K2σ values that assumes a Gaussian dependence in decl. and exponential in redshift. Three parameters were computed: the normalization limit at the reference point δ = 19° and z = 0, the angular width in decl., and the redshift exponential scale. The fit obtained is

Equation (6)

This fit excludes the five TS > 9 sources. Its correlation coefficient is r = +0.870 and the dispersion with the data is 0.241 dex. The value for the fit of K2σ at z = 0, δ = 19° corresponds to 14 mCrab, a factor of two lower than the predefined depth of the survey. This would apply to near and optimally located sources only. The sensitivity of the survey degrades with a Gaussian angle of 18.9 degrees, leading to a 11% response at 40° from zenith. The dependence of the upper-limit normalizations with redshift gives zh = 0.089, matching that of an observed power-law spectrum integrated from E0 = 0.63 TeV, close to the initial assumption E0 = 0.5 TeV (Section 3).

Figure 4.

Figure 4. Fit of K2σ, the upper-limit normalizations at 1 TeV, as a function of declination and redshift for the "clean" sample. The curved dashed lines are the fits given by Equation (6) to the upper limits at the redshifts indicated in the plot. Blue arrows are upper limits for AGNs with z ≤ 0.1, green for 0.1 < z ≤ 0.2, and red for 0.2 < z ≤ 0.3. Measured values of K for the TS > 9 sources are indicated by stars. They are at declinations 12° (M87, in blue), 21° (VER J0521+211, in green); 30° (1ES 1215+303, in green); and close to 40° (Mkn 421 as the blue star above the red curve and Mkn 501 as the blue star intersecting the green curve). Statistical errors bars are shown, thought smaller than the markers for the Markarian sources.

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5.1.3. Comparison with LAT Extrapolations

In Figure 5 we compare photon fluxes, N(>0.5 TeV), computed from the power-law fit (Equation (5)) with the extrapolations of LAT spectra. HAWC photon fluxes relate to the normalizations K through the integration of the differential spectra (Equations (4) and (5)),

Equation (7)

The green (TeV = P) dots shown in Figure 5 are for the objects with TS > 9, while the rest are shown with the respective HAWC upper limit, using K2σ in Equation (7).  Thirteen objects have HAWC limits below the LAT extrapolations, although compatible within the uncertainties. These include IC 310, I Zw 187 (1ES 1727+502), B3 2247+381, and 1ES 2344+514, identified in Figure 2.

Figure 5.

Figure 5. Flux extrapolations of 3FHL spectra vs. HAWC measurements. Color code indicates the TeV flag: green TeV = P; orange TeV = C; red TeV = N. The green points are the measured fluxes of the five objects with TS > 9, the rest of the sample indicated by upper limits. Errors shown are statistical only.

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5.1.4. Source Classes

Table 4 presents average significances for distinct groups of sources. While GeV emission is known to occur in these sources, 80% of the objects in our sample have not been detected in the VHE range. Furthermore, HAWC is testing long-term average emission, in contrast to the relatively brief IACTs observations. The group statistics, reinforced by the HAWC measurements as a function of redshift for different source classes (Figures 6 and 7), are briefly summarized as follows:

  • 1.  
    Except for the one starburst, radio galaxies constitute the nearest class of sources in our sample (Figure 6). All six are nearer than z = 0.03, and happen to be at favorable declinations, from δ = +4° (NGC 1278) to δ = +41° (IC 310 and NGC 1275). Four of them are known VHE sources, including 3C 264, reported after the publication of the 3FHL, which shows a +1.9σ excess in the HAWC data. As shown in Figure 6, their bounds are at the N(>0.5 TeV) ∼ 10−12 cm−2 s−1 level. The mean significance for this group has a p-value of 0.4%.
  • 2.  
    The blazars candidates of uncertain type studied here are at redshifts intermediate between those of radio galaxies and FSRQs. None of the bcus studied here has been reported in the VHE regime. The HAWC upper limits shown in Figure 6 are not particularly constraining, owing to the unfavorable declinations of these sources, seven out of eight outside +0° ≤ δ ≤ +50°.
  • 3.  
    Flat-spectrum radio quasars constitute the most distant class of source in our sample. Five out of six have not been detected as VHE sources, and do not comply with the LAT requirement for the TeV = C flag. They appear mostly as underfluctuations in the HAWC data. Figure 6 shows the upper limits on photon fluxes, most of them below the 30 mCrab level.
  • 4.  
    BL Lacertae objects constitute the clear majority of our sample, and of VHE sources. Still, 89 of the 117 BL Lac objects studied here have not been reported in the VHE regime. Figure 7 shows the HAWC fluxes for Mkn 421, Mkn 501, VER J0521+211, and 1ES 1215+303, at about (2–3) × 10−12 cm−2 s−1 for the two weaker cases.

The TeV = P flagged sources appear with a p-value at the 10−5 level, excluding Mkn 421 and Mkn 501, as expected for a sub-threshold persistent TeV emission in these known sub-TeV emitters. The TeV = C candidates and TeV = N groups do not provide any collective hint of emission. The p-values quoted do not account for the number of trials used in testing different groups; they are quoted as indicative of the potential presence of persistent TeV emission at levels ≲10−12 cm−2 s−1.

Figure 6.

Figure 6. HAWC photon flux upper limits for radio galaxies (RDG), blazars candidates of uncertain type (bcus), and flat-spectrum radio quasars (FSRQ), naturally segregated in redshift integrals. The green point at the lowest redshift corresponds to M87. Only three RDGs and one FSRQ have a TeV = P flag. 3C 264 was reported as a relatively faint VHE source after the release of the 3FHL catalog. The red dotted line is the 30 mCrab reference, while the vertical dotted lines separate the types of sources.

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Figure 7.

Figure 7. HAWC photon flux upper limits for BL Lac objects and the starburst galaxy NGC 1068. Only BL Lac objects with LAT extrapolation above 2 × 10−13 cm−2 s−1 are shown, as in Figure 2. The redshift interval is restricted to z < 0.23, as in Figure 6. No BL Lac is extrapolated above that flux beyond that distance. Four flux points are shown: Mkn 421 and Mkn 501 above 10−11 cm−2 s−1, and VER J0521+211 and 1ES 1215+303 slightly below and above the red line at redshifts 0.11 and 0.13, respectively.

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5.2. Spectral Fits for High-significance Sources

We computed optimized spectra for the TS > 9 sources, fitting together normalizations and spectral indices. The fits are summarized in Figure 8, together with the systematic uncertainties. These have been quantified as 15% in K, the 1 TeV normalization, and 5% in α, the spectral index. We discuss here the two high-significance sources, Mkn 421 and Mkn 501.

Figure 8.

Figure 8. Optimized spectral fits for five selected sources. Mkn 421 and Mkn 501, the two highest points, present the best statistics. VER J5021+211 and 1ES 1215+303 have the extreme spectral indices, although with a larger uncertainty. M87 appears with the smallest normalization and a spectral index consistent with α = 2.5. The black and gray oval in the upper left represents systematic uncertainties of 15% in the 1 TeV normalization (K) and 5% on spectral index (α).

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5.2.1. Markarian 421

Markarian 421 is the brightest persistent extragalactic object in the TeV sky. For the default α = 2.5 search, we computed TS = 4167 for K = (29.5 ± 0.5stat ± 4.4syst×10−12 TeV−1 cm−2 s−1. The optimized power-law fit for the intrinsic spectrum resulted in

Equation (8)

with TS = 4193, i.e., an increase in the test statistic ΔTS = 26 relative to α fixed at 2.5. The integration to the observed photon flux, using zh = 0.116 for α = 2.63 in Equation (4), gives Nobs = (48 ± 8) × 10−12 cm−2 s−1, somewhat larger than the α = 2.5 estimate shown in Figure 5. The intrinsic energy flux, fE = (132 ± 22) × 10−12 erg cm−2 s−1, translates into a luminosity per solid angle of fEdL(z)2 = L(>0.5 TeV)/ΔΩ = (2.1 ± 0.4) × 1043 erg s−1 sr−1, about one-third (32%) of the (10 GeV–1 TeV) luminosity per steradian inferred from the Fermi-LAT measurements (Figure 1). The HAWC spectrum is consistent with IACT observations made by MAGIC between 2007 and 2009 (Ahnen et al. 2016). Using an energy threshold of 400 GeV, these authors found photon fluxes varying from Nmin (>0.5 TeV) = 9.33 × 10−12 cm−2 s−1 to Nmax(>0.5 TeV) = 2.22 × 10−10 cm−2 s−1, weakly dependent on their assumed differential index of 2.5.

The 3FHL catalog and HAWC spectra for Mkn 421 are shown together in Figure 9. There is a fairly good match between the two fits, with the curves intersecting at about 0.66 TeV. The local LAT spectral index at 1 TeV, 2.5 ± 0.2, is consistent within uncertainties with the HAWC spectral index. IACT observations between 100 GeV and 5 TeV, performed around 2005 with MAGIC, resulted in a spectral index of (2.20 ± 0.08), with indications of a cutoff in the intrinsic spectrum (Albert et al. 2007a). A detailed spectral analysis of Mkn 421 and Mkn 501 with HAWC data will be presented in a separate publication. Preliminary results can be found in Coutiño de Leon et al. (2019).

Figure 9.

Figure 9. Spectra of Mkn 421 measured by LAT, including EBL attenuation (black and gray, on the left) and by HAWC (blue, on the right). The full-dotted line represents the intrinsic spectrum, with statistical errors, and the full line represents the fit with EBL attenuation. The two attenuated fits match well at their (0.5–2.0) TeV intersection.

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5.2.2. Markarian 501

The TeV emission from Markarian 501 observed by HAWC is not as steady as that of Mkn 421 (Abeysekara et al. 2017a). In fact, the statistical significance of the time-averaged TeV emission of Mkn 501 has decreased with increased HAWC exposure. The α = 2.5 search resulted in a test statistic TS = 276.97 for K = (7.74 ± 0.49stat ± 1.16syst) × 10−12 TeV−1 cm−2 s−1. The optimized power-law fit is

Equation (9)

with TS = 280.28, representing a moderate increase in the test statistic ΔTS = 3.33. The integrated observed photon flux is Nobs = (8.5 ± 2.6) × 10−12 cm−2 s−1, accounting for EBL attenuation. The intrinsic energy flux, fE = (40 ± 16) × 10−12 erg cm−2 s−1, translates into a luminosity per solid angle of dL(z)2fE = L(>0.5 TeV)/ΔΩ = (7.3 ± 2.8) × 1042 erg s−1 sr−1, which is about 25% of the (10 GeV–1 TeV) luminosity per steradian measured by Fermi-LAT (Figure 1). This fraction is similar to that observed for Mkn 421.

The 3FHL catalog and HAWC spectra for Mkn 501 are shown together in Figure 10. The agreement is not as good as for Mkn 421: the Mkn 501 spectrum is harder and lies below the measurement by the LAT. The local LAT spectral index at 1 TeV is 2.58 ± 0.35, just consistent with HAWC when accounting for the propagation of the uncertainty in the curvature parameter β of the 3FHL fit. We note that Mkn 501 has a variability index Vbayes = 4 in the 3FHL catalog.

Figure 10.

Figure 10. Spectrum of Mkn 501 measured by LAT and EBL attenuated (black and gray) and by HAWC (blue). The full-dotted line represents the HAWC intrinsic spectrum, with statistical errors, and the full line represents the fit with EBL attenuation.

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The literature on the VHE characteristics of Mkn 501 is extensive. Its high TeV variability was noted shortly after its 1996 discovery, when the HEGRA group reported flux variations of an order of magnitude observed in mid-1997 (Quinn et al. 1996; Aharonian et al. 1997). Contemporaneous 10 m Whipple data confirmed the high state, adding indications of a curved spectrum favored over a simple power law (Samuelson et al. 1998). Further monitoring showed strong variations in flux, although with stable spectra best-fitted by a power law plus an intrinsic cutoff at around 6 TeV (Aharonian et al. 1999). Observations in 1998–1999 showed lower activity, with evidence for spectral curvature and steepening (Aharonian et al. 2001). Mkn 501 observations renewed in 2005, when the MAGIC telescope measured strong and very fast variability, with spectral indices ranging from ∼2.0 to 2.7 (Albert et al. 2007b). Data taken the following year (2006) by MAGIC permitted the characterization of a low-activity state, with fluxes similar to those reported by VERITAS and MAGIC from data taken in the 2009 joint observations with the Fermi-LAT (Anderhub et al. 2009; Acciari et al. 2011). The contemporaneous LAT data showed spectral variability also present in the GeV range, with index variations Δα ∼ 1 during the first 480 days of Fermi observations (Abdo et al. 2011).

In the last decade, EAS arrays have been able to reach the sensitivities needed to perform long-term monitoring of Mkn 501: the ARGO collaboration reported variations of a factor of six in flux observed between 2011 October and 2012 April (Bartoli et al. 2012). The HAWC collaboration presented light curves for the Crab, Mkn 421, and Mkn 501 from its first 17 months of observations (Abeysekara et al. 2017a). The HAWC light curve of Mkn 501 showed a low flux baseline with a handful of very short strong flares. The simple power-law fit (of index 2.84) was disfavored against a power law with exponential cutoff.

The variability of Mkn 501 has prevented a baseline characterization of this object. In Coutiño de Leon et al. (2019) we presented the HAWC spectrum of Mkn 501 using data acquired between 2015 June and 2017 December. Even though spectra with exponential cuts were tested, the Mkn 501 data proved consistent with a pure power law of index 2.40 ± 0.06. While there might be a slight decrease in the spectral index (2.31 ± 0.08 ± 0.20), the flux reported here is about half that reported in Coutiño de Leon et al. (2019). The four year average TeV flux observed by HAWC is a factor of two above the lowest activity observed so far (Anderhub et al. 2009; Acciari et al. 2011).

5.3. Marginally Detected Sources

5.3.1. M87

M87 is the central galaxy of the Virgo cluster, a giant elliptical at a distance of just (16.4 ± 0.5) Mpc, as measured independently of its redshift, z = 0.0042 (Bird et al. 2010). With an optical magnitude V = 8.6 and an angular diameter of about 8', M87 has been imaged in detail for more than a century, showing a distinct bright active nucleus and a single optical jet (Curtis 1918; Tsvetanov et al. 1998). The mass of the central black hole has been measured to be (6.5 ± 0.7) × 109 M, through its imaging with the Event Horizon Telescope (Event Horizon Telescope Collaboration et al. 2019).

Also known as Virgo A, it is a bright object all throughout the electromagnetic spectrum. As 3FHL J1230.8+1223, it is a 12.1σ detection above 10 GeV, as reported in the 3FHL catalog, with 4.8σ in 150–500 GeV, and a 2σ upper limit in the top (0.5–2.0) TeV band. M87 has been observed frequently in the VHE regime since its 2003 discovery by the HEGRA collaboration (Aharonian et al. 2003). The temporal behavior of M87 in the high-energy and VHE bands has been reviewed by Ait Benkhali et al. (2019). Fluxes can vary by a factor of 1o between low, mid, and high states, with indications of the spectral index varying from 2.6 in low states to 2.2 in high states. In addition to the low and high states, time variability on single-day timescales during high states has been reported by the H.E.S.S. and MAGIC collaborations (Beilicke et al. 2007; Albert et al. 2008).

The default HAWC search at the M87 location gave a test statistic of TS = 12.93 for a normalization K = (0.56 ± 0.16stat ± 0.08syst× 10−12 TeV−1 cm−2 s−1. The optimized power-law fit for the intrinsic spectrum is

Equation (10)

with TS = 13.19, i.e., a nonsignificant increase in the test statistic, ΔTS = 0.26, showing α = 2.5 to be an acceptable solution within the statistics of the optimized fit. The integrated photon flux is Nobs(>0.5 TeV) = (1.3 ± 0.9) × 10−12 cm−2 s−1, with less than 4% of attenuation by the EBL. The energy flux, fE = (2.7 ± 2.4) × 10−12 erg cm−2 s−1, translates into a luminosity per solid angle of L(>0.5 TeV)/ΔΩ = (6.9 ± 6.3) × 1039 erg s−1 sr−1, which is about 25% of that in the 10 GeV–1 TeV range, from the respective 3FHL parameters. The lower apparent power with respect to the two nearest BL Lacs is attributed to the off-axis viewing of the jet. Still, the relative power when compared with the LAT regime appears to be similar.

From Ait Benkhali et al. (2019), we computed photon fluxes from M87 observations by IACTs, in different activity states:

  • 1.  
    High state: N(>0.5 TeV) = (5.74 + 1.14−1.47× 10−12 cm−2 s−1,
  • 2.  
    Mid state: N(>0.5 TeV) = (1.39 + 0.47−0.43× 10−12 cm−2 s−1,
  • 3.  
    Low state: N(>0.5 TeV) = (2.85 + 2.07−1.53× 10−13 cm−2 s−1.

The 4.5 yr averaged emission, as indicated by the HAWC data, matches the mid state, with a relatively steep spectral index. The comparison with the 3FHL data, shown in Figure 11, points to a steepening in the spectrum. While the LAT and HAWC data are not contemporaneous, with a variability index Vbayes = 1, M87 does not stand as a variable in the 3FHL catalog. Still, an analysis of joint contemporaneous LAT-HAWC data is desirable.

Figure 11.

Figure 11. High-energy spectra of M87 from the LAT catalog and HAWC observations. The data suggest a steepening of the spectrum at energies ∼1 TeV. The HAWC optimized power-law fit has TS = 13.2. The quasi-differential computation for the (2.0–8.0) TeV interval is at TS = 13.1.

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5.3.2. VER J0521+211

VER J0521+211 was discovered as a TeV γ-ray source by the VERITAS collaboration, during observations following up its detection above 30 GeV by LAT (Ong 2009). 3FHL J0521.7+2112 itself is associated with the radio-loud BL Lac object TXS 0518+211, and the X-ray ROSAT source RX J0521.7+2112. The redshift survey of Shaw et al. (2013) assigned z = 0.108 to the optical counterpart. This is the value listed in the 3FHL catalog and assumed for this analysis. Archambault et al. (2013) did not confirm this redshift, and neither did Paiano et al. (2017), who only set a lower limit z > 0.18 using deep spectroscopy with the GTC 10.4 m. The VHE emission from this object has been measured at least up to 1 TeV, with no apparent decline in the spectrum (Prokoph et al. 2015). This makes the high-energy characterization of VER J0521+211 of particular interest.

The α = 2.5 search resulted in TS = 9.49 for K =(2.85 ± 0.93stat ± 0.43syst× 10−12 TeV−1 cm−2 s−1. The best power-law fit for the intrinsic spectrum is

Equation (11)

with TS = 10.34, representing a modest increase in the test statistic ΔTS = 0.85 with respect to the default search. This is the hardest AGN spectrum for the TS > 9 HAWC sample. The integrated observed photon flux is Nobs(>0.5 TeV) =(1.5 ± 1.1) × 10−12 cm−2 s−1, attenuated by a factor of 2/3 due to the EBL. The energy flux and luminosity per solid angle cannot be accurately determined with the spectral index so close to 2.0. If we take E2dN/dE at 1 TeV as indicative, we get an estimated fE ∼ (3.8 ± 1.4) × 10−12 erg cm−2 s−1 and dL2fE ∼ (8.4 ± 3.1) × 1042 erg s−1 sr−1. Notwithstanding the uncertain distance, this source appears particularly luminous in the GeV regime, with L(10 GeV − 1 TeV)/ΔΩ ∼ 1.4 ×1044 erg s−1 sr−1, standing above the two Markarians in Figure 1.

The 3FHL data, shown together with the HAWC spectral fit in Figure 12, have strong detections up to the 150–500 GeV band, with a highest-energy photon of 370 GeV. The 3FHL fit is a log-parabola, transiting from a hard spectrum at about 30 GeV to a very steep local spectral index of 3.7 ± 0.7 at 1 TeV (4.3 when attenuating the 3FHL spectrum). The attenuated HAWC spectrum corresponds to an observed spectral index of ∼2.7, mostly inconsistent with the LAT fit. The data may be reconciled through an intrinsic hardening at about 200 or 300 GeV. The HAWC quasi-differential bound in the 0.5–2.0 TeV band is a factor of 4.6 lower than the 3FHL limit in the same band. We note that the quasi-differential analysis gave TS = 9.1 for the 2.0–8.0 TeV band, optimal in terms of the HAWC instrumental response. With the assumed redshift, τ is due to range from 1.6 to 3.2 in that energy interval, pointing to an intrinsically hard spectrum. The analysis gave TS = 0 for 8.0–32.0 TeV, expected to be heavily attenuated for the assumed redshift. Additional HAWC data analysis should allow the further constraint of the shape of the TeV spectrum VER J0521+211, testing the redshift assumption. We also note that VER J0521+211 has a variability index Vbayes = 4 in the 3FHL catalog, indicating that a joint analysis of contemporaneous LAT and HAWC data would be relevant.

Figure 12.

Figure 12. Spectral fits of VER J0521.7+2112 from Fermi-LAT (gray) and HAWC (blue) data. The best fit of the HAWC data is for an intrinsic power law of index 2.0, which remains harder than the 3FHL log-parabola fit after considering EBL attenuation at the assumed redshift. The HAWC quasi-differential limit at (2.0–8.0) TeV is for a TS = 9.1.

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As mentioned in Section 4.1, VER J0521+211 is located 3fdg07 from the Crab Nebula, the brightest source in the 2HWC and 3HWC catalogs. This angular distance corresponds to three times the 68% containment angle ψ68 for ${ \mathcal B }=1$, and >6ψ68 for ${ \mathcal B }\gt 2$. We tested for potential contamination, repeating the maximum-likelihood test with α = 2.5 at five locations equidistant from the Crab Nebula, forming together with VER J0521+211 a hexagon around the Crab. These provided test statistics TS between −4.46 and +1.54, in contrast with TS = +9.49 at the location of VER J0521+211.

5.3.3. 1ES 1215+303

1ES 1215+303 is one of six γ-ray emitting BL Lac objects located in the Northern part of the Coma Berenices constellation, five of them known to be VHE sources. The redshift of this HBL is now confirmed to be z = 0.130, discarding the early measurement z = 0.237 by Lanzetta et al. (1993). The lower value was confirmed through optical spectroscopy at the GTC and, more recently, through the direct identification of a Ly α emission line (Paiano et al. 2017; Furniss et al. 2019). Cataloged as 3FHL J1217.9+3006, this object is well detected up to 500 GeV, and modeled with a power law of index α = 2.3 ± 0.1. It has a variability index Vbayes = 2.

The default HAWC search gave TS = 11.36 for K =(4.64 ± 1.38stat ± 0.70syst× 10−12 TeV−1 cm−2 s−1 as the intrinsic normalization. The optimized power-law fit for the intrinsic spectrum is rather softer,

Equation (12)

with TS = 12.80, representing a test-statistic increase ΔTS =1.44. The attenuated photon flux is Nobs(>0.5 TeV) = (2.53 ± 1.35) × 10−12 cm−2 s−1. The integrated energy flux results in a luminosity per solid angle of L(>0.5 TeV)/ΔΩ =(3.9 ± 2.7) × 1043 erg s−1 sr−1, given the luminosity distance of 585 Mpc. This is about 30% of the corresponding value between 10 GeV and 1 TeV. The 3FHL and HAWC spectra, compatible within the uncertainties, are shown in Figure 13.

Figure 13.

Figure 13. High-energy spectra of 1ES 1215+303 from the 3FHL catalog and HAWC observations. We note the intersection of both spectra at ≳1 TeV and its decay, as it suffers EBL attenuation. This is the most distant source detected by HAWC so far.

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1ES 1215+303 was first detected as a VHE source by MAGIC in 2011 (Lombardi et al. 2011; Aleksić et al. 2012). It is usually observed together with PG 1218+304, located just 0.88 degrees away in the sky, for which we obtained a test statistic TS = +2.24. Given that both sources are known VHE emitters, the distance is not large enough to be certain that there is no overlap between both sources. With a redshift z = 0.184, PG 1218+304 is more distant and prone to be heavily attenuated above 1 TeV. A dedicated study with improved HAWC analysis tools is now pending.

Long-term monitoring of this source by VERITAS was presented by Aliu et al. (2013), prior to the report of a single short and intense flare seen in 2014 with VERITAS and Fermi-LAT (Abeysekara et al. 2017d). During this episode the VHE flux of this HBL reached 2.4 times that of the Crab Nebula, with a variability timescale ≲3.6 hr. The MAGIC spectrum of Aleksić et al. (2012), ranging from 70 GeV to 1.8 TeV, had an intrinsic spectral index of 2.96, deattenuated with the model of Domínguez et al. (2011), used here. The MAGIC and HAWC spectral indices are in good agreement. The long-term joint monitoring of this source by LAT and VERITAS, spanning more than 10 years, confirms the spectral index and points to four strong and short flares that occurred during full HAWC operations by Valverde et al. (2020). We checked the dates of these four episodes and did not find evidence for them in the HAWC data. An optimized time-dependent analysis of this source with HAWC, beyond the scope of this paper, will be the subject of future work.

5.4. Limits on Sources of Interest

The extrapolation of 3FHL catalog spectra (Figure 2) and of IACT spectral fits allowed us to identify AGN targets for potential HAWC detection (Section 4.3). We presented evidence of persistent TeV emission for three of those targets—Mkn 421, Mkn 501, and at a weaker level, M87—and, also marginally, for two sources below the 30 mCrab reference limit (marked as a red line in Figure 2), VER J0521+211 and 1ES 1215+303. On the other hand, sources like IC 310, 1ES 2344+514, TXS 0210+515, 1ES 1727+502, B3 2247+381, and H 1426+428 were not detected. As shown in Figure 4, the HAWC sensitivity is dependent on source decl. We note that while the sources with $\sqrt{\mathrm{TS}}\gt 9$ are all in the range +12° < δ < +40°, five of the undetected candidates are either North of δ = +50°, or farther than z = 0.1. Decl. is of particular relevance here, as the response of EAS arrays to low-energy events is compromised at large zenith angles. Still, as shown in Table 5 and in Section 5.1.3, four of the corresponding upper limits are below the extrapolation of the corresponding 3FHL spectrum.

Table 5.  Upper Limits on 3FHL AGN Candidate Targets

3FHL Entry Source z $\pm \sqrt{\mathrm{TS}}$ K2σ ${N}_{0.5}^{x}$ ${N}_{0.5}^{\mathrm{UL}}$
3FHL J0214.5+5145 TXS 0210+515 0.049 +1.62 5.43 2.40 6.50
3FHL J0316.6+4120 IC 310 0.019 +0.86 1.01 4.37 1sd.60
3FHL J1428.5+4240 H 1426+428 0.129 +1.26 8.18 1.21 4.67
3FHL J1728.3+5013 I Zw 187 0.055 −0.22 2.57 3.25 2.91
3FHL J2250.0+3825 B3 2247+381 0.119 −0.27 2.54 2.37 1.59
3FHL J2347.0+5142 1ES 2344+514 0.044 +1.45 4.62 7.12 5.80

Note. K2σ, the spectrum normalization at 1 TeV, is in units of 10−12 TeV−1 cm−2 s−1. N0.5 are extrapolated photon fluxes above 0.5 TeV and the corresponding upper limit, in units of 10−12 cm−2 s−1.

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IC 310 is a target that is both nearby and culminates at an adequate zenith angle, but remained undetected in this HAWC analysis. The upper limit set in the photon flux is close to a third of the rather uncertain LAT extrapolation, and the HAWC upper limit in the 0.5–2.0 TeV band is 2.5 lower than the one in the 3FHL catalog. We note that while the 3FHL catalog reports a relatively low variability index, Vbayes = 2, this source is known to display extreme variability in the VHE range, on timescales as low as five minutes, challenging models and severely constraining the emission region to scales smaller than its event horizon (Aleksić et al. 2014).

In addition to the preselected targets, we point here to two additional sources of intrinsic interest: 3C 264 and NGC 1068. 3C 264 is a radio galaxy hosted by the elliptical galaxy NGC 3862, at a distance of about 90 Mpc. A compact radio source powers a relativistic jet imaged in radio and in the optical (Crane et al. 1993; Lara et al. 2004). 3C 264 shows in the LAT data up to a highest-energy photon of 97 GeV. It was listed as a TeV = N source in the 3FHL catalog, and considered as such in this analysis. However, it was later detected in the VHE range by the VERITAS Collaboration (Mukherjee 2018). The photon flux measured by VERITAS above 300 GeV indicates that this object should be too faint for HAWC. The HAWC data show a +1.9σ excess, statistically consistent with such a low flux and providing an upper limit $N(\gt 0.5\,\mathrm{TeV})\lt 1.42\times {10}^{-12}\,{\mathrm{cm}}^{-2}\,{{\rm{s}}}^{-1}$.

NGC 1068 has become a source of interest due to its coincidence with a hotspot in the IceCube all-sky map (Aartsen et al. 2020). While two other starburst galaxies, NGC 253 and M82, have been detected in the VHE range as faint sources, with fluxes 1% of the Crab Nebula (Ohm 2016), NGC 1068 remains undetected and an unlikely candidate for HAWC detection. It is a weak 5.3σ detection in the 3FHL catalog, with practically no signal above 20 GeV and a rather steep spectral index α = 3.8 ± 1.0. The HAWC data have a +1.2σ excess at the location of NGC 1068, for an upper-limit normalization K2σ = 6.46 × 10−13 TeV−1 cm−2 s−1 at 1 TeV. The quasi-differential HAWC limit in the common energy band, N(0.5–2.0 TeV) ≤ 2.32 × 10−12 cm−2 s−1, is a factor of eight lower than the respective LAT limit.

6. Summary

The HAWC Gamma-Ray Observatory has performed an extensive follow-up survey of known GeV γ-ray emitting active galaxies at TeV energies. We investigated all AGNs in the 3FHL catalog with a redshift lower than 0.3 and transiting within 40° of latitude 19° N, the HAWC zenith, searching for TeV γ-ray emission averaged over a 4.5 yr period. The HAWC data show clear signals from Mkn 421 and Mkn 501, from which we quantified their long-term averaged spectra. In addition, we obtained marginal evidence for TeV emission from the radio galaxy M87 and the BL Lac objects VER J0521+211 and 1ES 1215+303. The fluxes estimated for these sources are compatible with values previously reported for mid- or low-activity states. When excluding Mkn 421 and Mkn 501, we find collective evidence for long-term averaged TeV emission from radio galaxies and BL Lac objects with a p-value ∼1%, and for known VHE emitters (TeV = P) with p-value ∼10−5. No evidence was found for other source classes or for LAT sources not previously reported in the VHE range.

Upper limits were set for the whole sample assuming intrinsic power-law spectra of index 2.5 attenuated by the interaction of γ-rays with extragalactic background radiation. These limits are dependent on the decl. and redshift of the sources, confirming a redshift attenuation of exponential scale zh ≃ 0.1 for HAWC. Bounds on observed photon fluxes in three energy intervals, (0.5–2.0), (2.0–8.0), and (8.0–32.0) TeV, are also given. HAWC measurements were compared with the mostly noncontemporaneous 3FHL catalog long-term data and with specific IACT observations.

As the exposure of HAWC continues to deepen, the increased sensitivity will allow for deeper searches of extragalactic sources. Long-term variability is an area of opportunity for ground-based EAS γ-ray observatories not explored in this paper. Analyses of multiyear AGN light curves are under way in order to expand the investigation presented here to the time regime. The continuous and improved operation of HAWC is leading to a better understanding of EAS arrays, and in particular of water Cherenkov detectors. New analysis tools to improve the sub-TeV sensitivity of HAWC have been developed and implemented. These will provide improved energy response and the reduction of noise at low energies, two requirements for a deeper access to the extragalactic sky. These upgrades will allow HAWC to build on the analysis presented here, laying the path to future TeV survey instruments, in both the Northern and Southern Hemispheres.

We acknowledge the support from the US National Science Foundation (NSF); the US Department of Energy Office of High-Energy Physics; the Laboratory Directed Research and Development (LDRD) program of Los Alamos National Laboratory; Consejo Nacional de Ciencia y Tecnología (CONACyT), México, grants 271051, 232656, 260378, 179588, 254964, 258865, 243290, 132197, A1-S-46288, A1-S-22784, Cátedras 873, 1563, 341, 323, Red HAWC, México; DGAPA-UNAM grants IG100317, IG101320, IN111315, IN111716-3, IN111419, IA102019, IN112218; VIEP-BUAP; PIFI 2012, 2013; PROFOCIE 2014, 2015; the University of Wisconsin Alumni Research Foundation; the Institute of Geophysics, Planetary Physics, and Signatures at Los Alamos National Laboratory; Polish Science Centre grant DEC-2017/27/B/ST9/02272; Coordinación de la Investigación Científica de la Universidad Michoacana; the Royal Society—Newton Advanced Fellowship 180385; la Generalitat Valenciana, grant CIDEGENT/2018/034; Chulalongkorn University's CUniverse (CUAASC) grant. Thanks to Scott Delay, Luciano Díaz, and Eduardo Murrieta for technical support.

This work used data from the Fermi Science Support Center and the TeVCat online source catalog (http://tevcat.uchicago.edu). It also made use of the SIMBAD, NED (NASA/IPAC Extragalactic Database), ADS, and SDSS databases.

Facility: The High Altitude Water Cherenkov (HAWC) Gamma-Ray Observatory. -

Footnotes

  • 32 

    Equation (2) assumes an isotropic nν; this may not describe a local radiation field.

  • 33 

    Fits file gll_psch_v13.fits, dated 2017 July at https://fermi.gsfc.nasa.gov/ssc/.

  • 34 

    3C 264 has a TeV = N flag, because its VHE detection occurred after the publication of the 3FHL catalog.

  • 35 

    3FHL J1105.8+3944 and 3FHL J1652.7+4024 excluded.

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10.3847/1538-4357/abca9a