Detailed Analysis of the TeV {\gamma}-Ray Sources 3HWC J1928+178, 3HWC J1930+188, and the New Source HAWC J1932+192
A. Albert, R. Alfaro, C. Alvarez, J. C. Arteaga-Vel\'azquez, D. Avila, Rojas, H.A. Ayala Solares, R. Babu, E. Belmont-Moreno, C. Brisbois, K. S., Caballero-Mora, T. Capistr\'n, A. Carrami\~nana, S. Casanova, O., Chaparro-Amaro, U. Cotti, J. Cotzomi, S. Couti\~nodeLe\'on

TL;DR
This paper provides a detailed analysis of three TeV gamma-ray sources in the Galactic plane, including the discovery of a new source and investigation of their possible origins using HAWC and other observational data.
Contribution
It introduces a multicomponent fit of HAWC data revealing a new gamma-ray source and explores potential origins of the observed emissions, including associations with pulsars and supernova remnants.
Findings
Detection of a new gamma-ray source HAWC J1932+192.
Confirmation of the source 3HWC J1928+178 by H.E.S.S.
Possible association of HAWC J1932+192 with pulsar PSR J1932+1916.
Abstract
The latest High Altitude Water Cherenkov (HAWC) point-like source catalog up to 56 TeV reported the detection of two sources in the region of the Galactic plane at galactic longitude 52\deg < l < 55\deg, 3HWC J1930+188 and 3HWC J1928+178. The first one is associated with a known TeV source, the supernova remnant SNR G054.1+00.3. It was discovered by one of the currently operating Imaging Atmospheric Cherenkov Telescope (IACT), the Very Energetic Radiation Imaging Telescope Array System (VERITAS), detected by the High Energy Stereoscopic System (H.E.S.S.), and identified as a composite SNR. However, the source 3HWC J1928+178, discovered by HAWC and coincident with the pulsar PSR J1928+1746, was not detected by any IACT despite their long exposure on the region, until a recent new analysis of H.E.S.S. data was able to confirm it. Moreover, no X-ray counterpart has been detected from this…
| J1930 | J1932 | J1928 | J1928-EXT | |
| Hypothesis | Point-like | Point-like | Extended | Extended |
| posi | PSR J1930+1852 | (293.07, 19.40) | (292.08,17.79) | (292.20,18.18) |
| posf (ra °) | 292.53 0.05 0.004 | 292.99 0.05 0.002 | 292.15 0.04 0.001 | 292.05 0.15 0.05 |
| (dec °) | 18.84 0.05 0.001 | 19.36 0.04 0.001 | 17.90 0.04 0.001 | 18.10 0.17 0.05 |
| sizei (°) | - | - | 0.10 | 0.9 |
| sizef (°) | - | - | 0.18 0.04 0.003 | 1.43 0.17 0.05 |
| indexi | ||||
| indexf | 0.20 0.01 | 0.24 0.01 | 0.16 0.04 | 0.08 0.01 |
| fluxi | 10.0 | 10.0 | 10.0 | 10.0 |
| fluxf | 2.46 0.72 | 1.95 0.50 | 4.23 1.30 | 40.34 1.93 |
| Energy range (TeV) | 1 – 118 | 1 – 43 | 1 – 178 | 1 – 10 |
| Morphology Hypothesis | Point-like | |
|---|---|---|
| Integrated energy flux F (erg cm-2 s-1) | ( | |
| Distance (kpc) | 6.6 | |
| -ray luminosity (erg s-1) | ||
| Fraction of the pulsar energy needed (%) | ||
| Angular size (°) | 0.18 (39%) |
|---|---|
| 0.27 (68%) | |
| Distance (kpc) | 4.3 |
| Size (68%) (pc) | |
| Volume (pc3) | |
| Integrated energy flux F (erg cm-2 s-1) | ( |
| -ray luminosity (erg s-1) | |
| Total energy (erg) | |
| Energy density (eV cm-3) | 0.04 |
| Clump 1 | Clump 2 | |
| Angular size (°) | 0.172 | 0.252 |
| Distance (pc) | 4000 | 4000 |
| Size (pc) | 12.0 | 17.6 |
| Volume (pc3) | 906 | 2851 |
| Average brightness temperature (K) | 1.875 | 2.44 |
| FWHM of the velocity distribution peak (km s-1) | 1.5 | 2.56 |
| Column density CO) (cm-3) | ||
| Mass () | 1151 | 5482 |
| Total cloud | ||
| Mass () | 6633 | |
| Volume (pc3) | 3757 | |
| Density (particles cm-3) | 50 | |
| Total energy (erg) | ||
| Energy density (eV cm-3) | 4.4 | |
| Component | Observations | Parameter | Value | Comments and references | |
| Radio | Arecibo | period P (ms) | 137 | Cordes et al. (2006) | |
| Pulsar | (erg s-1) | ||||
| age (kyr) | 2.9 | ||||
| PSR J1930+1852 | surf. B field (G) | ||||
| X-ray | Chandra | F (0.3-10 keV) | |||
| index | Pulsar, ring, jet, and | ||||
| size (°) | 0.030.02 | diffuse elongated PWN | |||
| F (0.3-10 keV) | Temim et al. (2010) | ||||
| index | |||||
| Radio | Effelsberg | size (°) | 0.025 | Reich et al. (1985) | |
| FCRAO | distance (kpc) | 6.2 | Association with a molecular cloud | ||
| Leahy et al. (2008) | |||||
| G54.1+0.3 | -ray | Fermi | Detection of a point-like source | ||
| consistant with the VERITAS measurements | |||||
| VERITAS | index | Abeysekara et al. (2018) | |||
| flux 1-100 TeV | |||||
| H.E.S.S. | size (°) | 0.02 0.025 | H.E.S.S. Collaboration et al. (2018) | ||
| index | |||||
| flux 1-100 TeV | |||||
| HAWC | index | Albert et al. (2020) | |||
| flux 1-100 TeV | |||||
| radio | VLA | size (°) | 0.1 | Gelfand et al. (2015) | |
| Sub-mm | Herschel | dust mass () | 0.08 - 0.9 | Rho et al. (2018) | |
| Shell | IR | Spitzer | dust temperature (K) | 27 - 44 | |
| progenitor’s mass () | 15 - 27 | ||||
| SNR G54.1+0.3 | size (°) | 0.4 | Temim et al. (2017) | ||
| X-ray | XMM | size (°) | 0.1 | Bocchino et al. (2010) | |
| Suzaku | age (kyr) | 1.8 - 2.4 | |||
| Component | Observations | Parameter | Value | Comments | |
| Radio | Arecibo | period P (ms) | 68.7 | Cordes et al. (2006) | |
| Pulsar | (erg s-1) | ||||
| PSR J1928+1746 | age (kyr) | 82 | |||
| distance (kpc) | 4.3 | ||||
| surf. B field (G) | |||||
| PWN | -ray | EGRET | index | Hartman et al. (1999) | |
| flux 100 MeV (ph cm-2 s-1) | |||||
| HAWC | index | Albert et al. (2020) | |||
| flux 1-100 TeV | |||||
| Component | Observations | Parameter | Value | Comments | |
| -ray | Fermi | period P (ms) | 208 | Radio-quiet | |
| max distance (kpc) | 6.6 | Assuming 100% efficiency in rays | |||
| (erg s-1) | |||||
| age (kyr) | 35.4 | ||||
| flux 100 MeV | Pletsch et al. (2013) | ||||
| cut-off energy (GeV) | 1.2 | ||||
| Pulsar | index | ||||
| PSR J1932+1916 | surf. B field (G) | ||||
| X-ray | Swift | distance (kpc) | 2-6 | Based on interstellar extinction | |
| size (°) | 0.008 | ||||
| flux (0.5-5 keV) | |||||
| index | From morphological | ||||
| PWN | Suzaku | size (°) | 0.075 | and spectral fit | |
| flux (0.5-5 keV) | Karpova et al. (2017) | ||||
| index | |||||
| Radio | Arecibo | distance (kpc) | 3 - 4 | Association with CO cloud | |
| dynamical age (kyr) | 95 | Ranasinghe & Leahy (2017) | |||
| Shell | VLA | distance (kpc) | 6.6 | Using H absorption spectra | |
| SNR G54.4-0.3 | FCRAO | dynamical age (kyr) | 190 | Park et al. (2013) | |
| size (°) | 0.67 | Green (2014) | |||
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Detailed Analysis of the TeV -Ray Sources 3HWC J1928+178, 3HWC J1930+188, and the New Source HAWC J1932+192
Physics Division, Los Alamos National Laboratory, Los Alamos, NM, USA
R. Alfaro
Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
C. Alvarez
Universidad Autónoma de Chiapas, Tuxtla Gutiérrez, Chiapas, Mexico
J.C. Arteaga-Velázquez
Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico
Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Department of Physics, Pennsylvania State University, University Park, PA, USA
Department of Physics, Michigan Technological University, Houghton, MI, USA
Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Department of Physics, University of Maryland, College Park, MD, USA
Universidad Autónoma de Chiapas, Tuxtla Gutiérrez, Chiapas, Mexico
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico
Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 IFJ-PAN, Krakow, Poland
O. Chaparro-Amaro
Centro de Investigación en Computación, Instituto Politécnico Nacional, México City, Mexico.
Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico
Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico
Department of Physics, University of Wisconsin-Madison, Madison, WI, USA
Departamento de Física, Centro Universitario de Ciencias Exactase Ingenierias, Universidad de Guadalajara, Guadalajara, Mexico
Institute for Cosmic Ray Research, University of Tokyo, 277-8582 Chiba, Kashiwa, Kashiwanoha, 5 Chome-1-5, Japan
Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico
Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico
Departamento de Física, Centro Universitario de Ciencias Exactase Ingenierias, Universidad de Guadalajara, Guadalajara, Mexico
Physics Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Department of Physics, University of Wisconsin-Madison, Madison, WI, USA
Physics Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Department of Physics, University of Maryland, College Park, MD, USA
Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Department of Physics, University of Maryland, College Park, MD, USA
M. Fernández Alonso
Department of Physics, Pennsylvania State University, University Park, PA, USA
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., 64849, Mexico
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Max-Planck Institute for Nuclear Physics, D-69117 Heidelberg, Germany
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Department of Physics, University of Maryland, College Park, MD, USA
Physics Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Max-Planck Institute for Nuclear Physics, D-69117 Heidelberg, Germany
B. Hona
Department of Physics and Astronomy, University of Utah, Salt Lake City, UT, USA
Department of Physics, Michigan Technological University, Houghton, MI, USA
Universidad Autónoma de Chiapas, Tuxtla Gutiérrez, Chiapas, Mexico
P. Hüntemeyer
Department of Physics, Michigan Technological University, Houghton, MI, USA
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Max-Planck Institute for Nuclear Physics, D-69117 Heidelberg, Germany
Department of Physics, Faculty of Science, Chulalongkorn University, 254 Phayathai Road, Pathumwan, Bangkok 10330, Thailand
National Astronomical Research Institute of Thailand (Public Organization), Don Kaeo, MaeRim, Chiang Mai 50180, Thailand
Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Straße 1, D-91058 Erlangen, Germany
S. Kaufmann
Universidad Politecnica de Pachuca, Pachuca, Hgo, Mexico
Department of Physics and Astronomy, University of Utah, Salt Lake City, UT, USA
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA
Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico
Universidad Politecnica de Pachuca, Pachuca, Hgo, Mexico
INFN and Universita di Padova, via Marzolo 8, I-35131,Padova,Italy
Space Science and Applications group, Los Alamos National Laboratory, Los Alamos, NM, USA
Max-Planck Institute for Nuclear Physics, D-69117 Heidelberg, Germany
Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico
Centro de Investigación en Computación, Instituto Politécnico Nacional, México City, Mexico.
Dept of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico
Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico
Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico
Department of Physics, Pennsylvania State University, University Park, PA, USA
Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 IFJ-PAN, Krakow, Poland
Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de Mexico, Ciudad de Mexico, Mexico
Department of Physics and Astronomy, University of Utah, Salt Lake City, UT, USA
Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA
Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico
Max-Planck Institute for Nuclear Physics, D-69117 Heidelberg, Germany
Department of Physics, Stanford University: Stanford, CA 94305–4060, USA
A. Peisker
Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Universidad Politecnica de Pachuca, Pachuca, Hgo, Mexico
University of Seoul, Seoul, Republic Of Korea
Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico
Max-Planck Institute for Nuclear Physics, D-69117 Heidelberg, Germany
H. Salazar
Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico
D. Salazar-Gallegos
Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA
Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 IFJ-PAN, Krakow, Poland
Instituto de Física Corpuscular, CSIC, Universitat de València, E-46980, Paterna, Valencia, Spain
Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Department of Physics, University of Maryland, College Park, MD, USA
J. Serna-Franco
Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
Department of Physics, University of Maryland, College Park, MD, USA
Y. Son
University of Seoul, Seoul, Republic Of Korea
Department of Physics and Astronomy, University of Utah, Salt Lake City, UT, USA
O. Tibolla
Universidad Politecnica de Pachuca, Pachuca, Hgo, Mexico
Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA
Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico
Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
Department of Physics, Michigan Technological University, Houghton, MI, USA
Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico
Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico
Department of Physics, Michigan Technological University, Houghton, MI, USA
Max-Planck Institute for Nuclear Physics, D-69117 Heidelberg, Germany
Department of Physics, University of Maryland, College Park, MD, USA
Tsung-Dao Lee Institute & School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
Abstract
The latest High Altitude Water Cherenkov (HAWC) point-like source catalog up to 56 TeV reported the detection of two sources in the region of the Galactic plane at galactic longitude 52° 55°, 3HWC J1930+188 and 3HWC J1928+178. The first one is associated with a known TeV source, the supernova remnant SNR G054.1+00.3. It was discovered by one of the currently operating Imaging Atmospheric Cherenkov Telescope (IACT), the Very Energetic Radiation Imaging Telescope Array System (VERITAS), detected by the High Energy Stereoscopic System (H.E.S.S.), and identified as a composite SNR. However, the source 3HWC J1928+178, discovered by HAWC and coincident with the pulsar PSR J1928+1746, was not detected by any IACT despite their long exposure on the region, until a recent new analysis of H.E.S.S. data was able to confirm it. Moreover, no X-ray counterpart has been detected from this pulsar. We present a multicomponent fit of this region using the latest HAWC data. This reveals an additional new source, HAWC J1932+192, which is potentially associated with the pulsar PSR J1932+1916, whose -ray emission could come from the acceleration of particles in its pulsar wind nebula. In the case of 3HWC J1928+178, several possible explanations are explored, in a attempt to unveil the origins of the very-high-energy -ray emission.
High-energy astrophysics (739) — Gamma-ray astronomy(628) — Pulsars (1306) — Pulsar wind nebulae(2215) — Non-thermal radiation sources (1119)
††journal: ApJ††software: naima (Zabalza, 2015), 3ML (Vianello et al., 2015)
1 Introduction
The large majority of the TeV -ray sources detected so far, mainly thanks to surveys like the the High Energy Stereoscopic System (H.E.S.S.) Galactic Plane Survey (HGPS; H.E.S.S. Collaboration et al. 2018), are located in the Galactic plane, and most of them remain unidentified. More generally, the origin of the observed -ray emission is often uncertain. Indeed, while the Galactic plane is the best place to look for TeV -ray sources, it is a quite complex region in itself: the proximity of Galactic plane sources leads to source confusion, and large-scale diffuse emission needs to be taken into account. However, the diffuse emission is poorly understood and not very well modeled, partially due to our lack of knowledge about the gas distribution and the distribution of unresolved sources. In addition, the magnetic field structures can be quite complex and difficult to assess. The Galactic plane is also the place for star formation, involving giant molecular clouds (GMCs) that imply different kinds of interactions, shocks, propagation and diffusion processes (Myers et al., 1986; Hanasz et al., 2021; Peron & Aharonian, 2022). The modeling of complex regions and the detailed morphological and spectral analysis of individual sources are crucial for testing different scenarios and obtaining a better understanding of the origin of the observed -ray emission. The very-high-energy (VHE; GeV) -ray emission of the sources 3HWC J1928+178 and 3HWC J1930+188, reported in the third High Altitude Water Cherenkov (HAWC) catalog (Albert et al., 2020) at the galactic coordinates (52°93, 0°20) and (54°03, 0°32) respectively, and the new source HAWC J1928+192 located at (54°69, 0°20), are the focus of this paper. Because of their possible association with pulsars, a classical pulsar wind nebula (PWN) scenario is studied. However, a molecular cloud in the vicinity of 3HWC J1928+178 makes it a perfect candidate for studying the possible interaction of charged particles with the components of the cloud. After presenting a multiwavelength picture of the region in section 2, and an overview of the HAWC data in section 3, we present the multicomponent modeling of the region in section 4 and the results of the fit using a maximum likelihood approach in section 5. Section 6 is dedicated to an assessment of different hypotheses regarding the origin of the -ray emission of 3HWC J1928+178. In particular, a scenario involving Inverse Compton (IC) scattering is considered, as well as possible interaction with a nearby molecular cloud. The conclusion is drawn in Section 7.
2 Multiwavelength picture of the region
3HWC J1930+188 is associated with the -ray emission of the PWN in the supernova remnant SNR G54.1+0.3, located at 6.2 kpc (Leahy et al., 2008). Studies of the X-ray emission using XMM-Newton and Suzaku data have inferred that the SNR G54.1+0.3 would be 2000 years old (Bocchino et al., 2010). It was first detected with 6.8 significance by the Very Energetic Radiation Imaging Telescope Array System (VERITAS) in 2010, with a total observation time of 36.6 hr (Acciari et al., 2010), and identified as the point-like source VER J1930+188. With 16 additional hours of observation in 2015-2016 (Abeysekara et al., 2018), there is now a total exposure time of 46 hr from VERITAS on this region. Figure 1 shows the latest VERITAS excess map of the region, zooming in on each HAWC source (Abeysekara et al., 2018). It was shown that the centroid of the HAWC detection agrees with the VERITAS centroid position. However, the spectral index of the simple power law found for the HAWC source, , is softer than that measured by VERITAS, . Moreover, the differential flux at 7 TeV measured by HAWC is TeV*-1* cm*-2* s*-1* while the differential flux at 1 TeV measured by VERITAS is TeV*-1* cm*-2* s*-1*. Extrapolating the HAWC spectrum to the VERITAS energy range gives an integrated flux seven times larger than the VERITAS flux, although it is still within the 2 statistical uncertainties of the VERITAS measurement. The H.E.S.S. collaboration has also reported the detection of this source in the HGPS (H.E.S.S. Collaboration et al., 2018) catalog and referenced it as a composite SNR, as it was not possible to distinguish the origin of the emission between the shell and the PWN. At the center of the PWN, the pulsar PSR J1930+1852 was discovered in 2002 by the Arecibo radio telescope, with a period of 136 ms (Camilo et al., 2002). With a derived spin-down power of erg s*-1* and a characteristic age of 2900 yr (Camilo et al., 2002), it is amongst the youngest and most energetic known pulsars. Observations of the X-ray emission by the Chandra X-ray observatory over 290.77 ks reveal the pulsar and the PWN (Temim et al., 2010). In addition, IR observations by the Spitzer space telescope (Temim et al., 2010) and the Herschel space observatory (Rho et al., 2018) show a shell of gas and dust, debris from the supernova explosion. The shell contains compact IR sources arranged in a ringlike structure. These may be young stellar objects, whose formation would have been triggered by the wind of the progenitor star (Koo et al., 2008). They could also be ejecta dust heated by early-type stars belonging to the stellar cluster in which the star exploded (Temim et al., 2010). Both Chandra X-ray and Spitzer IR images are visible in the composite image in the left part of Figure 1. A morphological association with a molecular cloud detected from CO observations has been suggested (Leahy et al., 2008), but no evidence for interaction with this cloud was found (Lee et al., 2012). A 12CO map (rotation emission line at 115 GHz; Dame et al. 2001) and a radio map from the GaLactic and Extragalactic All-sky MWA (GLEAM) survey (Wayth et al., 2015) are shown in the right panel of Figure 2 where HAWC significance contours have been superimposed. This source will be referred to as J1930 hereafter. All the details relating to this source are summarized in Table 6 in the Appendix A.
3HWC J1928+178 is located about one degree away from 3HWC J1930+188. It was not detected by any Imaging Atmospheric Cherenkov Telescope (IACT), despite the 46 and 36 hr of observations by VERITAS and H.E.S.S., respectively, until H.E.S.S. could confirm a detection with significant emission above 5 using a new analysis method more appropriate for extended sources (Abdalla et al., 2021). It is detected by HAWC with more than 12. It is likely associated with the pulsar PSR J1928+1746, located 0°03 away from the 3HWC source location, one of the pulsars discovered at radio wavelength in 2006 in a long-term pulsar survey of the Galactic plane using the Arecibo L-band Feed Array (ALFA; Cordes et al. 2006). It is described as a young isolated pulsar with a period of 68.7 ms, a spin-down power of = erg s*-1* and a characteristic age of 82 kyr. The distance to it is estimated to be 4.3 kpc (Yao et al., 2017). No detections in X-ray by Chandra or NuSTAR have been reported for this pulsar, as depicted by the bottom right-hand part of Figure 1. However, the variable X-ray source CXO J192812.0+174712 is found within the 3HWC source position uncertainties. The association with the 3HWC source has been studied by Mori et al. (2020) in the case of a binary system, although no variability has been seen at TeV energies. Finally, the unidentified Fermi source 4FGL J1928.4+1801 is located 0°1 away from the 3HWC source. This source will be referred to as J1928 hereafter. All the details relating to this source are summarized in Table 7 in the Appendix A.
HAWC J1932+192 is spatially coincident with the pulsar PSR J1932+1916, discovered by the Fermi-LAT in 2013 (Pletsch et al., 2013) and classified as radio-quiet. It has a period of 208 ms, a spin-down power = erg s*-1* and a characteristic age of 35.4 kyr. It has also been observed in X-ray by Suzaku and by the Swift X-ray telescope, and an extended X-ray emission has been reported (Karpova et al., 2017). In that study, the emission was modeled with two Gaussians: a narrow one with a FWHM which could be associated with the pulsar, and a broad one with a FWHM of 45, which could be interpreted as the PWN emission. Using these observations, its distance is estimated as being between 2 and 6 kpc (Karpova et al., 2017). This emission is located near the edge of the SNR G54.4-0.3. It is clearly visible on the radio map, in the lower right-hand panel of Figure 2 in the shape of a circular feature with the pulsar on the edge. Moreover, a CO structure was reported to be in morphological coincidence with the radio emission, with an evidence for the interaction of the SNR with the surrounding CO shell (Junkes et al., 1992). For this SNR, the distance has been estimated as being 6.6 kpc (Ranasinghe & Leahy, 2017). This source will be referred to as J1932 hereafter. All the details relating to this source are summarized in Table 8 in the Appendix A.
3 HAWC observations
HAWC is an array of 300 water tanks covering an area of 22,000 m2, each instrumented with four photomultiplier tubes. The -ray-like events are classified with respect to the fraction of the array that was triggered. They are assigned to one of the nine analysis bins, according to the definition in Abeysekara et al. (2017), from analysis bin 1, gathering events triggering 7% to 10% of the array, to analysis bin 9, for events hitting 84% to 100% of the array. Low-energy events that trigger only a small fraction of the array are likely to be found in the low analysis bins, while the highest-energy events triggering most of the array will be found in the higher analysis bins. This analysis is restricted to bins 4 to 9, as a good compromise between reasonable performance at TeV energies and enough statistics. Indeed, the greater the fraction of the array that was hit, the more information is available and the lower the uncertainties on the reconstructed parameters. In particular, the /hadron separation improves with the increase in the analysis bins, reaching an efficiency of to for events in analysis bins 4 to 9. The HAWC significance map of the region for 1523 days of data, produced with the reconstruction Pass 4, under the hypothesis of a point-like source and a spectral index of , is shown in Figure 2. Two sources, 3HWC J1930+188 and 3HWC J1928+178, are reported in the 3HWC catalog (Albert et al., 2020).
4 Method: the modeling of the region and fit of the HAWC data
Modeling this region is not trivial, because it requires disentangling the different sources of emission. An attempt to represent this complex region with several components is described here. For each component, the parameters are fitted simultaneously using the Multi-Mission Maximum Likelihood framework111The documentation is available at https://threeml.readthedocs.io/en/stable/ and the code at https://github.com/threeML/threeML (3ML; Vianello et al. 2015) and the HAWC HAL plugin222The documentation and code are available at https://github.com/threeML/hawc_hal (Abeysekara et al., 2021). This is based on a maximum likelihood approach, in which a model representing a particular region of the sky, here made of several components, is convolved with the instrument response and compared to the corresponding experimental data. An initial model is defined for the region based on our current knowledge:
- •
VER J1930+188 and HESS J1930+188 are point-like sources associated with the PWN surrounding the pulsar PSR J1930+1852. Hence, the source 3HWC J1930+188 is defined as a point-like source initialized at the location of the pulsar (292°63, 18°87) . This component will be used to model J1930.
- •
The source 3HWC J1928+177 is represented by a symmetric Gaussian with the initial location at the position of the pulsar PSR J1928+1746 (292°18, 17°77) and an initial size of = 0°1. This component will be used to model J1928.
These are the two components of the initial model, visible in the panel (a) of Figure 3. There is no component for the galactic diffuse emission. The positions of the two components and the size of the extended component are left free. Their spectra are assumed to follow a simple power law with free index initialized at and free differential flux at 10 TeV initialized at TeV*-1* cm*-2* s*-1*. The fit is performed in an iterative process, starting by fitting the initial model to the data. For each component, a test statistic (TS) is computed, which compares the likelihood that a source is present against the hypothesis that there is no source but only background fluctuations:
[TABLE]
If a remaining excess is found in the residual map, a point-like component with a power-law spectrum is added at the location of the excess, and the fit is performed again with the position and spectral parameters being free. This new component is kept if it significantly improves the fit, by .
5 Results
5.1 Results of the fit
Figure 3(a) shows the HAWC significance map of the region for a point-like source hypothesis and assuming a power-law spectrum with an index of , which are the standard parameters used to produce HAWC maps (Albert et al., 2020). Superimposed in blue and green are the initial and fitted positions of the two components previously described in section 4. The width of the green circle represents the 1 uncertainty on the size of the Gaussian. The fitted model is displayed in Figure 3(b) and the residual map and its distribution in Figure 3(c). The orange line is a fit to the distribution with a gaussian function. After this first iteration, excesses of and significance are found in the residual map near the pulsar PSR J1932+1916 and at the location of J1928, respectively. To account for this, two components are added to the model at the locations of the excesses:
- •
A point-like source is initialized at (, ), near PSR J1932+1916, with a simple power law as spectral model. This component will be simply called J1932.
- •
An extended source is initialized at (, ), with initial size = 0°1, with a simple power law as a spectral model. This is the new component for J1928.
The previous extended component from the initial model will now be called J1928-EXT, and it is given as the initial position and size the output from the first fit. The position, size, index, and flux normalization are again set free. A fit is performed again with the four components. The outputs of the second fit are summarized in Table 1. The corresponding maps are displayed in Figure 4, using the same color code as in Figure 3. The spectra for the four components are shown in Figure 5. The lower edges of the spectra are fixed to 1 TeV, as the median energy of analysis bin 4 minus an error of 1. To determine the upper edges, individual fits are performed for each of the four components using a power law with an exponential cutoff for that component only, with the amplitude and cutoff energy as the only free parameters, and the three other components being modeled by a simple power law with all parameters fixed. Then, the cutoff energy is fixed as well, so that only the flux normalization remains as a free parameter, and the cutoff energy is set to decreasing values until . In Table 1, all of the fitted parameters are given with the statistical and systematic uncertainties. To calculate the systematic uncertainties, the same fit was performed again using different instrument response files.
The component representing J1928 is found to have a size of (39% containment), while the other extended source, J1928-EXT, has a size of . The difference in TS between this model and the initial one is 45. Given the high number of degrees of freedom between this model and the initial model, we can use the Akaike Information Criterion (AIC; Akaike 1974) given by AIC = with being the number of free parameters and being the maximum value of the likelihood function. This penalizes the model with the largest number of free parameters, so that the model with the fewest parameters will be favored, unless the extra parameters actually provide a substantially better fit. The best model is the one that have a lower AIC value. In this case, the four-component model is clearly preferred to the initial model, with AIC = 74. An excess of 3 significance remains at the top of the region of interest, visible on map (c) of Figure 4. Adding a new component at its location improves the fit only by a TS of 10, which is not significant when considering the addition of another source with 4 degrees of freedom. The AIC is 12. Since there are no compelling counterparts to this excess at other wavelengths, the remaining excess may be the result of additional complexities that are not contained in our model, including spatial morphology asymmetries and more complex spectral shapes, or it may simply be due to fluctuations. However, even though it gives a similar likelihood value, using an asymmetric Gaussian shows a clear 5 signal in the residual map at the location of J1928. Moreover, neither a power law with exponential cutoff nor a log-parabola significantly improve the fit.
5.2 Energy spectrum of 3HWC J1930+188
The spectrum of 3HWC J1930+188 resulting from the fit of the four-component model described in the previous section is shown in green in Figure 6. The spectrum is slightly softer than the one previously published by the HAWC collaboration, using the same amount of data, analysis bins 1 to 9, and a single point-like source hypothesis, shown in gray (Albert et al., 2020), while in the present analysis it is part of a more complex model. The high number of free parameters being fitted together is responsible for the larger uncertainties. At a few TeV, the spectrum from the fit presented here is in better agreement with the VERITAS spectrum (Abeysekara et al., 2018), represented by the black dots, although the error bars are wider. The H.E.S.S. spectrum (H.E.S.S. Collaboration et al., 2018) is also shown in magenta. The spectral parameters derived in the different works cited here are gathered in Table 2.
5.3 Characteristics of the new source HAWC J1932+192
In this section, we discuss whether the -ray emission of the new TeV source candidate HAWC J1932+192, potentially associated with the pulsar PSR J1932+1916, could come from the acceleration of particles in its PWN. All characteristics of this system have been previously gathered in section 2, as well as in the appendix A, Table 8. The spectrum derived from 3ML under the point-like hypothesis is plotted in Figure 5.
From the best fit, the differential flux at 10 TeV was found to be TeV*-1* cm*-2* s*-1*. With a spectral index equal to , the integrated energy flux between 1 TeV and 43 TeV is F erg cm*-2* s*-1*. The -ray luminosity is given by:
[TABLE]
Under the assumption that the distance is either 3.5 kpc (Junkes et al., 1992) or 6.6 kpc (Ranasinghe & Leahy, 2017), we can calculate the -ray luminosity and since the pulsar’s rotational energy is erg s*-1*, we can calculate the energy that the pulsar has to spend to produce it. Using the first distance estimation, 0.6% of the pulsar energy is needed to accelerate the electrons and positrons that produce the rays via IC scattering on ambient photons. In the case of the larger distance, this percentage goes up to 2%. For comparison, Di Mauro et al. (2019) found that about 1% of the spin-down energy of the Geminga pulsar has to be converted into e*±* to be consistent with the -ray data from the Fermi-LAT and from HAWC. This means that the PWN could in principle produce the observed -ray emission. Table 3 gathers the parameters calculated above.
5.4 Morphology and energy spectrum of 3HWC J1928+178
The best fit of the data gives a size of for 3HWC J1928+178, which represents 39% containment, given our 2D Gaussian model. The corresponding 68% containment radius is 0°27. The flux at 10 TeV is TeV*-1* cm*-2* s*-1* and the spectral index is , as reported in Table 1. The spectrum is plotted in red in Figure 7 together with the one previously published by the HAWC collaboration, in gray, using the same amount of data and analysis bins 1 to 9, but for a single point-like source hypothesis (Albert et al., 2020). As previously mentioned, the high number of free parameters being fitted together is responsible for the larger uncertainties. Both HAWC spectra are compatible with the flux point from LHAASO at 100 TeV (Cao et al., 2021) within the uncertainties. The origin of the observed TeV -ray emission of 3HWC J1928+178 is discussed in the next section. A classical PWN scenario is considered, as well as a possible association with a molecular cloud. Note that the presence of the large extended component J1928-EXT of angular size may account for a large-scale galactic diffuse emission component that is absent from the model, or may indicate the mismodeling of 3HWC J1928+178. In particular, J1928 and J1928-EXT may be part of the same object, if we consider a Geminga-like diffusion model. This hypothesis was considered in Jardin-Blicq (2021) and will not be treated here.
6 Origin of the -ray emission of 3HWC J1928+178
6.1 IC scattering of the electrons from the PWN
Gamma-ray emission
From the fitted size of 3HWC J1928+178, °, the diameter and volume can be calculated assuming a spherical geometry. All the properties derived hereafter are summarized in Table 4. With the pulsar being located at a distance of kpc, 39% and 68% of the emission are contained in regions of sizes 27 pc and 41 pc, respectively. The integrated energy flux between 1 TeV and 178 TeV is erg cm*-2* s*-1* . The -ray luminosity, given by equation 2, is erg s*-1*.
The emission observed in PWNe at TeV energies is dominated by radiation processes involving electrons scattering on ambient photons: IC scattering. In the Thomson regime, the -ray spectral energy distribution due to electrons with energy peaks at
[TABLE]
where and are in TeV, is the Boltzmann constant, T is the temperature of the photon field, and is in eV (Hinton & Hofmann, 2009). Hence, and a 1 TeV -ray photon is produced via IC scattering of an electron of energy 10 TeV on cosmic microwave background (CMB) photons. The electron cooling time for IC scattering in the Thomson regime is given by
[TABLE]
where is in TeV and is the radiation energy density in eV cm*-3* (Hinton & Hofmann, 2009). For electrons of energy = TeV scattering on CMB photons, eV and eV cm*-3*, so the electron cooling time is kyr. For far-IR (FIR) photons, eV and eV cm*-3*, so kyr. The total energy is the product of the -ray luminosity and the cooling time , equal to erg, using . Finally, dividing by the volume, the energy density is simply . Assuming a spherical geometry and a diameter of 41 pc, the energy density is eV cm*-3*. This is much smaller than the energy density of the interstellar medium (ISM) eV cm*-3*. Given the age of the pulsar of 82 kyr, this is consistent with an old PWN, where the electrons have started to cool and diffuse away from their source. Note that for electrons with TeV, the Klein Nishina regime starts. Adapting equations 3 and 4 to the Klein Nishina regime for CMB photons only gives 300 TeV electrons producing 230 TeV photons, with the cooling time becoming kyr. However, the total energy and the energy density are of the same order of magnitude as what was calculated in the Thomson regime.
Parent particle population
The parent population of the electrons responsible for the observed -ray emission can be obtained using the naima333The documentation and code for naima are available at: https://naima.readthedocs.io/en/latest and https://github.com/zblz/naima python package (Zabalza, 2015). This provides models for nonthermal radiative emission from homogeneous distributions of relativistic particles. The contributions of nonthermal radiative processes, IC scattering in this case, can be computed given a shape for the particle energy distribution, and the model can be used to fit the observed nonthermal spectra through a Markov Chain Monte Carlo procedure. In the present case, the emission is assumed to be produced by electrons upscattering CMB photons, with a temperature K and an energy density of 0.26 eV cm*-3*, and FIR photons, with a temperature K and an energy density of 0.3 eV cm*-3*. Since the -ray spectrum of 3HWC J1928+178 has been represented by a power law, the population of the electrons is also chosen to follow a simple power law. The fit is performed using this model for the electrons and the -ray spectrum from the HAWC observations from the best fit with 3ML. The best fit for the energy distribution of electrons has a differential energy at 70 TeV erg*-1* and an index of . The total energy of the electrons above 1 TeV is erg. Given that the spin-down of the pulsar is erg s*-1*, assuming that it is constant over the life of the pulsar, which is 82 kyr, gives a lower limit for the total energy released by the pulsar of erg. Hence, an upper limit of 1% can be set on the amount of energy that the pulsar could have transferred to the electrons above 1 TeV. This is again compatible with previous estimations for the Geminga pulsar (Di Mauro et al., 2019).
6.2 Association with a molecular cloud
Hypotheses for this association
Most of the interstellar gas in our Galaxy is molecular hydrogen H2, contained in GMCs. These massive clouds of gas and dust have a typical size that ranges from 50 to 200 pc and a mass ranging between and solar masses. They are the sites of star formation. In addition, they are the source of most of the diffuse galactic -ray emission (Hunter et al., 1997). The dominant processes by which cosmic rays interact with the ISM and produce rays, are high-energy electron bremsstrahlung, IC interactions with low-energy photons and nucleon-nucleon interactions. For the latter, in particular, molecular clouds are favorable environments. Hence, it is interesting to compare the galactic gas distribution, and the -ray emission detected by HAWC, in order to assess whether the components of the molecular cloud, mainly hydrogen, could be a target for relativistic protons, producing observed rays via pion decay (Albert et al., 2021).
CO as a tracer for molecular clouds
H2 is not easily observable, because this molecule has no electric dipole moment. For this reason, it does not emit radiation from neither vibrational nor rotational transitions. However, CO emits radiation through a rotational transition () when excited by collisions with hydrogen molecules. Hence, CO emission is used to trace H2 molecular clouds. The abundance of CO is typically about for one hydrogen molecule. Two isotopes are mainly used: 12CO and 13CO. The main difference is that 12CO is optically thick, while 13CO is optically thin, the first one being on average 60 times more abundant than the second one (Lucas & Liszt, 1998). 13CO is both a good quantitative and qualitative tracer of molecular gas, being related to the column density of H2. It can probe deep in the cloud without saturating, and it provides more accurate velocity and kinematic distances because of its narrower line. Therefore, 13CO is more suited to deriving the column density of the cloud, under the hypothesis of local thermodynamic equilibrium. The emission line corresponding to the CO de-excitation gives the mean velocity of the CO molecules in the cloud, and the width of this line gives the velocity dispersion associated with the cloud. Under the virial equilibrium hypothesis, and assuming uniform density within the cloud, the width of the line scales linearly with the size of the cloud.
The 13CO (rotation emission line at 110 GHz) data from the Galactic Ring Survey (GRS444GRS data available at : https://www.bu.edu/galacticring/new_data.html; Jackson et al. 2006) were obtained using the SEQUOIA multi pixel array on the Five College Radio Astronomy Observatory (FCRAO, Arny & Valeriani (1977)) 14 m telescope located in New Salem, Massachusetts, between 1998 December and 2005 March. Three molecular clouds can be found at the location of the HAWC TeV emission. Figure 8(a) shows the HAWC significance map, where a region corresponding to the emission with significance is defined. From this region, the velocity distribution is extracted as a function of the brightness temperature averaged over this region, visible in Figure 8(b). Three maxima can be highlighted at 4.5 km s*-1*, 22 km s*-1* and 46 km s*-1*. The 13CO maps corresponding to each velocity are also displayed in Figure 8(c). The most intense one, at 22 km s*-1* is further studied in the next paragraph.
Detailed study of the brightest cloud
The cloud at 22 km s*-1* has a very complicated and elongated shape. The study is restricted to the portion of the cloud within the -ray emission of 3HWC J1928+178, represented by the white box in Figures 8 and 9. In this region, the cloud is decomposed into two parts, which could be interpreted as two clumps of the cloud. They are represented by the two smaller magenta and cyan boxes that are labeled “1” and “2” in Figure 9. The 13CO maps for the peak velocity and the velocity distribution are also shown on the right-hand side of the same figure. Some basic properties can now be derived, such as the column density, the mass, and the volume of these clumps, to estimate the total cosmic-ray energy and the energy density that would be needed to explain the observed -ray emission.
To do so, the clumps are assumed to have a spherical shape. The most probable distance555The distance is derived using http://bessel.vlbi-astrometry.org/bayesian with a prior Pfar = 0.1 for this cloud is = 4 kpc (Reid et al., 2016), which would be compatible with the distance of the pulsar. Their diameter and volume can be calculated from their angular size . Clumps 1 and 2 have diameters of 12 and 18 pc, respectively. They are smaller than the source representing J1928, which was found to contain 68% of the emission within 41 pc. For each clump, the 13CO column density CO) is determined using the brightness temperature , in K, and the FWHM of the velocity distribution peak , in km s*-1*, as explained in Simon et al. (2001):
[TABLE]
The clump mass , in the unit of solar masses, is given by
[TABLE]
where and are the half-axes of the clump in arcseconds and is the distance to the cloud in pc, which is here assumed to be 4 kpc. With the mass and the volume, the particle density in the cloud, which is a potential target for cosmic rays, can be calculated using
[TABLE]
where is the mean mass of an atom in the ISM, with and being the mass of an hydrogen atom. Moreover, using the best-fit value for the flux found with 3ML, the luminosity above 1 TeV was calculated in the previous section using equation 2 as erg s*-1*. Considering that, at TeV energies, the spectral energy distribution of the secondary rays peaks at about one-tenth of the energy of the primary proton and does not vary significantly with energy (Hinton & Hofmann, 2009), a 1 TeV photon can be produced by a 10 TeV proton. The total energy of the cosmic rays above 10 TeV in the cloud is , where is now the characteristic cooling time for relativistic protons. It is derived using the proton-proton interaction cross section , the speed of light and the density :
[TABLE]
In this relation, stands for the fact that a proton loses about half of its energy per interaction, with only a third of them producing . Hence, using typical values for the inelastic cross section mb for VHE protons (Hinton & Hofmann, 2009) and , it results in a lifetime yr. Finally, the energy density is simply the ratio of the total energy and the volume: . For the cloud considered here, the total energy of the cosmic rays above 10 TeV is erg and the energy density is eV cm*-3*. The parameters calculated for each clump and for the total cloud are gathered in Table 5.
The farthest edge of clump 2 is 22 pc away from the pulsar. Considering a sphere of radius 22 pc centered on the pulsar, containing both clumps, its volume is 15 times the sum of the volumes of both clumps together. Since the total energy in the cloud is erg, the energy in the sphere centered on the pulsar should be . The pulsar releases most of its energy at the beginning of its lifetime and steadily decreases its spin-down power afterward, as described by the following equation:
[TABLE]
where is the initial spin-down luminosity and the braking index. It has been argued that up to 20% of a pulsar’s energy could accelerate ions (Bucciantini et al., 2011). Assuming as a reasonable value that 10% of the pulsar’s energy has been used to accelerate protons, this means that the pulsar must have released erg. Considering that this is equal to the difference in rotational energy between now and when the pulsar was born gives: , with for a typical pulsar. The pulsar considered here has a period of ms. This gives a birth period of ms. The maximum total energy that a pulsar with a birth period of 1 ms can release during its life is erg, for a pulsar with a typical mass of 1.4 and a typical radius of 10 km (Khangulyan et al., 2018). Our result is consistent with this upper limit. Moreover, integrating equation 9 from birth () until now (), with the braking index , and using the relation between the characteristic age of the pulsar and the age at birth we can derive
[TABLE]
With erg, erg s*-1* and yr, the age at birth is yr. Hence, the pulsar’s true age would be 79,800 yr. Finally, its spin-down power at birth would be erg s*-1*. As a comparison, this is the same order of magnitude as the Crab, which makes this value plausible.
Conclusions for the molecular cloud association
From the study performed in this section, we can make conclusions regarding the different hypotheses:
- •
The components of the molecular cloud, mainly hydrogen, could be a target for relativistic protons from the pulsar PSR J1928+1746 and its PWN, producing neutral pions during the interaction, which emit the observed rays. The energy radiated by the pulsar was found to be compatible with the energy needed to produce the observed -ray luminosity via proton-proton interaction.
- •
Adding up the two clumps gives a mass for the cloud of 6600 , and a density of 50 particles per cm3. However, the -ray emission around 1 TeV is dominated by IC scattering of electrons on the CMB for medium densities lower than 240 particles per cm3 (Hinton & Hofmann, 2009). Hence, bremsstrahlung does not play a significant role here: the observed emission cannot be explained by the electrons and positrons from the PWN interacting with the atoms of the cloud via bremsstrahlung.
- •
The total energy in cosmic rays TeV in the cloud derived from the observed -ray luminosity is calculated as erg, leading to an energy density of 4.4 eV cm*-3*. This is three orders of magnitude higher than the energy density of the sea of galactic cosmic rays above 10 TeV, which is 1 eV cm*-3* (Gabici et al., 2009). Hence, these cosmic rays cannot explain the TeV emission observed by HAWC via interaction with the cloud.
- •
The remaining hypothesis is that a local accelerator, for example an SNR, as yet undetected, is producing the detected VHE -ray emission. It is commonly assumed that an SNR releases 1051 erg of kinetic energy in the ISM, and that 10% of it - that is 1050 erg - is used for cosmic-ray acceleration. Assuming a cosmic-ray spectrum between 1 GeV and 1 PeV, with an energy dependence E*-2*, 33% of the energy flux is found above 10 TeV, which makes 3.3 erg. The ratio of the volume around the SNR, which is uniformly filled with cosmic rays, and the volume of the cloud scales like the ratio of the energy contained in each volume:
[TABLE]
where pc is approximately the radius of the cloud and is the distance from the SNR to the farther edge of the clump. Thus, an SNR located within a distance of 40 pc from the cloud would be able to account for the cosmic rays producing the observed TeV emission via interaction with the molecules of the cloud.
7 Conclusion
This paper gives a detailed description and multiwavelength overview of this complex region of the Galactic plane at longitude 52° °. Two sources, 3HWC J1930+188 and 3HWC J1928+178, has already been reported in the third HAWC catalog (Albert et al., 2020) and one source, HAWC J1932+192, is detected for the first time at TeV energies. A multicomponent fit was presented using 3ML.
- •
3HWC J1930+188 is represented by a point-like source. Its spectrum is described by a simple power law with a flux at 10 TeV of TeV*-1* cm*-2* s*-1* and a spectral index of . The spectrum is in better agreement with the VERITAS spectrum than previous measurements (Abeysekara et al., 2018).
- •
HAWC J1932+192 is represented by a point-like source. Its spectrum is described by a simple power law with a flux at 10 TeV of TeV*-1* cm*-2* s*-1* and a spectral index of . The -ray emission is energetically consistent with a PWN scenario.
- •
3HWC J1928+178 is represented by an extended source of angular size (39% containment). It has a hard spectrum with an index of , which would explain the fact that HAWC is more sensitive to detect this source than IACTs. Its flux at 10 TeV is TeV*-1* cm*-2* s*-1*. We studied different hypotheses for the origin of the observed -ray emission and concluded that three scenarios would be possible:
e*±* from the PWN started to cool and diffuse away from it, producing rays via IC scattering on ambient photons; 2. 2.
cosmic-ray protons produced by the pulsar interacted with a nearby molecular cloud and produced rays via proton-proton interaction; and 3. 3.
there is another unknown accelerator, such as a nearby SNR, located within 40 pc. However, no hint of such a SNR has been observed at any wavelength.
Regarding 3HWC J1928+178, for now, the first scenario may still be considered the most probable one. Due to the age of the pulsar, the lack of X-ray emission, the extended emission observed by HAWC, and the low energy density compared to the ISM, 3HWC J1928+178 is a candidate for the TeV halo family (Jardin-Blicq, 2021). It may also be in a transitional phase between a classical PWN and a TeV halo, and may help us to understand the late evolution stage of a PWN. The second and third scenarios cannot be ruled out, and more complex morphological and spectral analysis will be needed to help distinguish between them. The possibility that the -ray emission comes from protons produced by the pulsar interacting with a molecular cloud makes it a particularly interesting case to be followed up. However, this hypothesis relies on the estimated distance of this molecular cloud being 4 kpc. The observed -ray emission may also come from a combination of the first two scenarios. The last option would require the detection of a nearby SNR, which has not yet been detected, making it less probable than the two other options.
One additional component is also needed to model the region: a large extended source of angular size . This may indicate either the mismodeling of 3HWC J1928+178 or the lack of a large-scale galactic diffuse emission component in the model. We checked the expected flux of the galactic diffuse emission underlying the three sources J1928, J1930, and J1932 by using four different models: the latest Fermi model for Pass 8 and source class events (Abdollahi et al., 2020), the diffuse emission model developed to simulate the Galactic plane survey with the future Cherenkov Telescope Array (CTA) (Remy et al., 2021), an updated version of this model (private communication with Q. Remy), and a model of the galactic diffuse emission up to 100 TeV developed by De la Torre Luque et al. (2022). On average, the contribution from J1928-EXT to these sources is more than twice the average flux that is expected from the galactic diffuse emission. This implies either that the diffuse emission does not represent the emission well, or that J1928-EXT contains more signal than diffuse emission, some of which may be left over from J1928, for example. If PSR J1928+178 is responsible for this component, then the -ray luminosity would be erg s*-1*. Assuming that these rays are produced by IC scattering on CMB photons, the energy density would less than eV cm*-3*. Another hypothesis is that the two extended components J1928 and J1928-EXT may be the same object, if we consider a diffusion model similar to that of Geminga (Jardin-Blicq, 2021). This hypothesis would favor the TeV halo nature of 3HWC J1928+178. Deeper analysis will be required to determine whether it can be related to existing sources, whether it comes from other sources, or whether it comes from large-scale -ray galactic emission.
Going farther will require better energy and angular resolutions: future analysis with energy estimators (Abeysekara et al., 2020), together with more data, would be appropriate for allowing a better study of the energy dependence of the spectral and morphological parameters. Moreover, a better angular resolution would permit the making profiles in different directions around the pulsar, along the cloud location and perpendicular to it, to see whether there is any asymmetry in the -ray emission.
Acknowledgments
We acknowledge 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 Nos. 271051, 232656, 260378, 179588, 254964, 258865, 243290, 132197, A1-S-46288, and A1-S-22784, cátedras 873, 1563, 341, and 323, Red HAWC, México; DGAPA-UNAM grants Nos. IG101320, IN111716-3, IN111419, IA102019, IN110621, and IN110521; VIEP-BUAP; PIFI 2012, 2013 and 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 No. DEC-2017/27/B/ST9/02272; Coordinación de la Investigación Científica de la Universidad Michoacana; Royal Society - Newton Advanced Fellowship 180385; Generalitat Valenciana, grant No. CIDEGENT/2018/034; the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, NXPO (grant No. B16F630069); Coordinación General Académica e Innovación (CGAI-UdeG), PRODEP-SEP UDG-CA-499; and the Institute of Cosmic Ray Research (ICRR), University of Tokyo. H.F. acknowledges support from NASA under award No. 80GSFC21M0002. We also acknowledge the significant contributions over many years of Stefan Westerhoff, Gaurang Yodh, and Arnulfo Zepeda Dominguez, all deceased members of the HAWC collaboration. Thanks to Scott Delay, Luciano Díaz, and Eduardo Murrieta for technical support.
HAWC (https://www.hawc-observatory.org/)
Appendix A Multiwavelength information
Tables 6, 7 and 8 gather the information regarding the three sources 3HWC J1930+188, 3HWC J1928+178 and HAWC J1932+192 in different wavelengths found in the literature, with the associated references.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Abdalla et al. (2021) Abdalla, H., Aharonian, F., Ait Benkhali, F., et al. 2021, Ap J, 917, 6, doi: 10.3847/1538-4357/abf 64b · doi ↗
- 2Abdollahi et al. (2020) Abdollahi, S., Acero, F., Ackermann, M., et al. 2020, Ap JS, 247, 33, doi: 10.3847/1538-4365/ab 6bcb · doi ↗
- 3Abeysekara et al. (2017) Abeysekara, A. U., Albert, A., Alfaro, R., et al. 2017, Ap J, 843, 39, doi: 10.3847/1538-4357/aa 7555 · doi ↗
- 4Abeysekara et al. (2018) Abeysekara, A. U., Archer, A., Benbow, W., et al. 2018, Ap J, 866, 24, doi: 10.3847/1538-4357/aade 4e · doi ↗
- 5Abeysekara et al. (2020) Abeysekara, A. U., Albert, A., Alfaro, R., et al. 2020, Phys. Rev. Lett., 124, 021102, doi: 10.1103/Phys Rev Lett.124.021102 · doi ↗
- 6Abeysekara et al. (2021) Abeysekara, A. U., Albert, A., Alfaro, R., et al. 2021, Po S, 395, 828, doi: 10.22323/1.395.0828 · doi ↗
- 7Acciari et al. (2010) Acciari, V. A., Aliu, E., Arlen, T., et al. 2010, Ap JL, 719, L 69, doi: 10.1088/2041-8205/719/1/L 69 · doi ↗
- 8Akaike (1974) Akaike, H. 1974, ITAC, 19, 716, doi: 10.1109/TAC.1974.1100705 · doi ↗
