The high energy X-ray probe (HEX-P): Galactic PeVatrons, star clusters, superbubbles, microquasar jets, and gamma-ray binaries

1 Introduction

Over the last few decades, it has become clear that energetic particles (cosmic rays, CRs) make up a significant component of the Universe. In galaxies, cosmic rays can power galactic winds, support galactic coronae, and control star formation through ionization of molecular clouds. They can influence the structure of large-scale galactic magnetic fields and their propagation can drive turbulence in the interstellar medium. [See, e.g., Heintz and Zweibel (2022) and references therein]. The most energetic cosmic rays, with energies from 10¹⁵ eV (1 PeV) up to and above 10¹⁹ eV, appear to fill the Universe, traveling enormous distances to arrive at Earth–the only form of extragalactic matter we will be able to directly examine.

X-ray astronomy has brought powerful insights into the mechanisms by which Nature accelerates particles to energies many orders of magnitude above thermal energies. While radio astronomy even from its infancy gave evidence of electrons with GeV energies (through the diffuse Galactic synchrotron background discovered by chance by Karl Jansky in 1932, though its origin was not clear for decades), it was known long before the advent of space astronomy that far higher energies were exhibited by some particles, to the extent that high-energy physics experiments were conducted on mountaintops to tap the flux of incoming cosmic rays, long before the advent of terrestrial particle accelerators. But clues to the origin of the highest-energy particles required the ability to image sources in photons above the optical window. Quasar continua supplied evidence for optical synchrotron radiation, but the details of the process could not be deduced from unresolved observations. X-ray astronomy first allowed the inference of the presence of TeV particles at their sources, with the detection of the featureless X-ray spectrum of SN 1006 and its interpretation as synchrotron emission from electrons with such energies.

The advent of diffusive shock acceleration (DSA) as a mechanism for the production of suprathermal particles in shocks constituted a major advance in understanding, along with the observational data supplied by several generations of X-ray satellites, most importantly Chandra and XMM. It has been well-established that TeV electrons are present in most young shell supernova remnants (SNRs), with about ten objects dominated by non-thermal synchrotron emission, and clear non-thermal spectral components in others alongside thermal emission. The initial hope that young SNRs could furnish the origin of all cosmic rays was dashed by the realization based on very general considerations that standard SNR evolution could produce energies only up to several PeV, where a steepening of the integrated cosmic ray spectrum suggests a decreasing efficiency of cosmic-ray production by Galactic sources. More detailed study strongly suggests that reaching even that energy may be difficult [e.g., Lagage and Cesarsky (1983)]. See Blasi (2013) for a review.

More recently, gamma-ray astronomy has revealed many Galactic sources with energies in the GeV range (observed by Fermi-LAT) to above 1 PeV (observed by ground-based imaging atmospheric Cerenkov telescopes (IACTs), such as VERITAS, MAGIC, and H.E.S.S., or extensive air-shower arrays (EASAs), such as HAWC and LHAASO). Recently, a new exciting discovery has been made by IceCube as they have identified neutrino emission in the Galactic Plane (IceCube Collaboration et al., 2023). Angular resolutions of these instruments often do not allow unambiguous identification with sources at lower photon energies, let alone provide morphological clues to the origins of the fast particles in those sources. The imaging capabilities of X-ray telescopes, current and planned, can address the gaps in our understanding resulting from the mismatch between high-resolution radio observations of GeV electrons, and the observations of particles (electrons or hadrons) of up to and above 1 PeV.

Various classes of objects are now known to produce energetic particles: SNRs, pulsar-wind nebulae (PWNe) at the termination shock of the pulsar’s relativistic wind forming the inner boundary of the PWN, superbubbles driven by multiple supernovae, and termination shocks of jets from “microquasars” such as SS433. Arguments have been made for each of these as the primary source of the most energetic Galactic cosmic rays, but in no case do we have conclusive determinations.

A full understanding of the physics of particle acceleration in shocks, and elsewhere, and in particular, of the nature of the most energetic sources (“PeVatrons”), will require a new generation of instruments. In the context of DSA, we still do not understand the details of how electrons become initially accelerated; how the accelerated-particle population, both electrons and ions, develops and affects the local environment (magnetic field, thermal fluid); what determines the fractions of shock energy going into particles and magnetic field; and what determines the maximum energy to which particles are accelerated, with possibly different limitations applying to electrons and hadrons. For the wind termination shocks of PWNe, the additional complications of special-relativistic effects are present.

In particular, an attack on the problem of the nature of “PeVatrons” can be divided into two fronts: a better understanding of the basic physics of particle acceleration, conducted in those objects which can be most fully characterized, and direct observational studies of candidate PeVatrons themselves. The latter project is hampered by the large point-spread functions (PSFs) of Cherenkov detectors (of order a significant fraction of a degree), often containing multiple possible counterparts in the crowded Galactic plane. In the former approach, one works to improve our knowledge of the basic physics of shock acceleration by studying better-understood objects, but ones fairly certain not to be the PeVatrons themselves. The proposed HEX-P mission can contribute on both fronts.

In this paper, we present a wealth of HEX-P programs for investigating a diverse class of cosmic-ray accelerators and exotic radioactive sources in our Galaxy. In Section 2, we review the key radiative processes as a primer for understanding multi-wavelength electromagnetic emission from cosmic-ray accelerators. Sections 3, 4 describe the current telescope design and HEX-P’s primary observation program for Galactic cosmic-ray accelerators, respectively. The HEX-P’s primary observation program has been optimally determined based on extensive simulations with the Simulations of X-ray Telescopes (SIXTE) suite and with NASA’s HEASARC XSPEC software, as well as consulting with the current and future gamma-ray and neutrino telescope groups, including CTAO, HAWC, VERITAS, IceCube, and COSI. Note that two primary classes of Galactic particle accelerators, SNRs and PWNe, are discussed in a companion paper (Reynolds et al., 2023). Section 5 discusses the unique and complementary role of HEX-P in the future multi-messenger observations of Galactic PeVatrons, which is arguably the most exciting field in astroparticle physics currently and in the 2030s Section 6 presents HEX-P observations of star clusters and superbubbles which represent a primary class of hadronic particle accelerators. Section 7 focuses on the HEX-P survey of W50 lobes, a unique particle accelerator powered by the microquasar SS433. Section 8 presents how HEX-P observations can deepen our understanding of intrabinary shock physics and interactions between pulsars and circumstellar disks in rare TeV gamma-ray binaries. Section 9 concludes the paper with various HEX-P survey ideas in synergy with future telescopes in other wavelengths.

2 Radiative processes

Accelerated particles make their presence known through a variety of radiative processes: synchrotron radiation, bremsstrahlung, and inverse-Compton scattering for the electrons or positrons (leptonic processes), and, for protons and nuclei, decay into gamma rays of π⁰ mesons produced in inelastic scattering from target atoms (hadronic process).

Relativistic electrons (or positrons) of energy E radiating in a magnetic field B produce synchrotron radiation with a spectrum peaking at photon energy $E_{\gamma }=15⟨B_{\mu \mathrm{G}}⟩E_{\text{PeV}}^2$ keV, after averaging over the angle between B and the line of sight. These particles can also upscatter any ambient photon fields through inverse-Compton scattering (ICS). Both cosmic microwave background (CMB) photons and optical-IR (OIR) photons can serve as relevant seed photon populations. The scattering cross-section is constant at its Thomson value σ_T ≡ 6.65 × 10⁻²⁵ cm² for small values of the Klein-Nishina (KN) parameter $x_{\text{KN}}\equiv 4E{E}_{\gamma i}/{(m_e{c}^2)}^2$, where E_γi is the seed photon energy. But as x_KN approaches and exceeds 1, the cross-section decreases (Klein-Nishina suppression). The maximum outgoing photon energy E_γ is given, for x_KN ≪ 1, by $E_{\gamma }=4{(E/m_e{c}^2)}^2{E}_{\gamma i}=x_{\text{KN}}E$, but as x_KN approaches 1, E_γ asymptotes to E, independent of the seed photon energy. For CMB seeds (E_γi ∼ 0.2 meV), requiring x_KN ≤ 0.1 to remain safely in the Thomson limit, the peak scattered photon energy is about 3 TeV, produced by electrons with E ∼ 30 TeV. Higher-energy photons can be produced, but with decreasing efficiency. For OIR seeds (E_γi ∼ 1 eV), again requiring x_KN < 0.1 limits scattered photon energies to about 400 MeV, produced by electrons with E ∼ 7 GeV. Thus ICS from the CMB can produce very high-energy (VHE, 100 GeV–100 TeV) gamma-rays detectable with IACTs, while ICS from starlight seeds is most important below 1 GeV photon energies, observable with satellites. Finally, relativistic electrons can also produce relativistic bremsstrahlung with photon energies up to E_γ ∼ E/3, but for the regions of parameter space relevant to the particle acceleration sources in this paper, bremsstrahlung is rarely dominant.

Cosmic-ray protons and nuclei can produce gamma-ray emission through inelastic collisions with ambient gas, resulting in the production of pions (hadronic process). The charged pions decay to secondary electrons and positrons, while the π⁰ particles decay to gamma rays. These collisions result in a fixed ratio of gamma rays to secondary leptons, an unavoidable consequence of the process. For kinematic reasons, pions cannot be produced until proton energies reach 280 MeV, at which point it becomes possible to produce π⁰’s.

The synchrotron process does not contribute to gamma-ray emission, but it plays a crucial role in providing evidence for the highest-energy electrons. Electrons with energies above a few tens of TeV scatter CMB photons much less efficiently, so their gamma-ray emission may be faint or lost below hadronic gamma-ray processes. However, their maximum energy can be constrained through their synchrotron radiation, in the energy range targeted by HEX-P.

Thus a population of relativistic leptons and hadrons produces broadband emission from radio to above PeV energies, through all four processes in general. Characterizing those populations requires observations at all wavelengths, to create a spectral-energy distribution (SED). Radio emission, produced only by ∼ GeV-range electrons, can anchor the lepton distribution. The gamma-ray part of the spectrum above 70 MeV could be produced by two leptonic and one hadronic process, and sorting out which is responsible is an essential task for the investigation of particle acceleration. Of particular interest are instruments capable of observing very high-energy and ultra high-energy (UHE, $>100$ TeV) gamma rays. While most of these instruments have angular resolutions of a significant fraction of a degree, the Cherenkov Telescope Array (CTA), currently under construction and scheduled to begin full operation in the mid-2020s, is of particular interest for the HEX-P mission. Two CTAO sites in the northern and southern hemispheres will be able to survey the entire sky in the 0.1–100 TeV band with $\sim 1$ arcmin angular resolution.

In general, synchrotron X-ray emission (F_X ∝ n_e ⋅ B²), ICS gamma-ray emission (F_γ ∝ n_e ⋅ n_γ), and hadronic gamma-ray emission (F_γ ∝ n_p ⋅ n_ISM), where n_e, n_γ, n_p and n_ISM are electron, seed photon, proton, and ISM densities, represent different components from the same underlying particle energy distribution (Figure 1). Hence, in numerous Galactic TeV sources, multiwavelength morphology and SED studies with X-ray and IACT TeV data helped to distinguish between the leptonic and hadronic scenarios and to constrain model parameters (Kargaltsev et al., 2013; Mori et al., 2021). For instance, Figure 1 illustrates the distinct X-ray spectra expected in leptonic and hadronic models, despite predicting nearly identical gamma-ray spectra. Additional constraints come from the fact that the same population of relativistic electrons can produce both synchrotron and inverse-Compton emission. The ratio of total power radiated by an electron in the two processes is given by the ratio of magnetic-field energy density to seed photon energy density, i.e., P_synch/P_IC = [(B²/8π)/u_rad]. The radiated spectra have the same slope up to peak energies related to the maximum electron energy. The synchrotron peak depends on the magnetic field, while the IC peak depends on which seed photons are scattered. Therefore, the ratio of the peak photon energies can give an estimate of the magnetic-field strength, while the ratio of the peak fluxes there can give the magnetic-field filling factor (i.e., if the volume of radiating electrons is not uniformly filled with B). See Aharonian and Atoyan (1999) and Lazendic et al. (2004) for detailed expressions.

FIGURE 1

FIGURE 1. (A): Cartoon multiwavelength (MW) SED models for leptonic and hadronic accelerators. (B): Example leptonic (black) and hadronic (red) SED models for a hypothetical gamma-ray emitting particle accelerator. The two SED models with nearly identical gamma-ray spectra were produced using NAIMA (Zabalza, 2015). Note that the synchrotron X-ray spectra appear differently in both fluxes and slopes in the HEX-P bandpass (0.2–80 keV). The secondary electrons in the hadronic case are modeled following the recipe of Kelner et al. (2006).

While gamma-ray detections provide evidence of particle acceleration, studying synchrotron X-ray emission from primary and secondary electrons provides unique and complementary information to gamma-ray observations. However, X-ray telescopes operating only below 10 keV are hampered by the contamination by unrelated thermal X-ray components, which can hinder the detection of non-thermal X-ray emission.

3 HEX-P mission design and simulation

The High-Energy X-ray Probe (HEX-P; Madsen et al., 2023; in preparation) is a probe-class mission concept that offers sensitive broad-band coverage (0.2–80 keV) of the X-ray spectrum with exceptional spectral, timing, and angular capabilities. It features two high-energy telescopes (HET) that focus hard X-rays, and a low-energy telescope (LET) providing soft X-ray coverage. Overall, LET and HET will achieve a factor of $\sim 3$ and $\sim 10$ or better improvements in sensitivity over XMM-EPIC and NuSTAR telescopes in the 0.2–20 and 3–70 keV bands, respectively.

The LET consists of a segmented mirror assembly coated with Ir on monocrystalline silicon that achieves a half power diameter of 3.5″, and a low-energy DEPFET detector, of the same type as the Wide Field Imager [WFI; Meidinger et al. (2020)] onboard Athena (Nandra et al., 2013). It has 512 × 512 pixels that cover a field of view of 11.3′ × 11.3′. It has an effective bandpass of 0.2–25 keV and a full-frame readout time of 2 m, and can be operated in a 128 and 64 channel window mode for higher count-rates to mitigate pile-up and faster readout. Pile-up effects remain below an acceptable limit of $\sim 1$% for sources up to $\sim 100$ mCrab in the smallest window configuration (64w). Excising the core of the PSF, a common practice in X-ray astronomy, will allow for observations of brighter sources, with a maximum loss of $\sim 60\%$ of the total photon counts.

The HET consists of two co-aligned telescopes and detector modules. The optics are made of Ni-electroformed full shell mirror substrates, leveraging the heritage of XMM (Jansen et al., 2001), and coated with Pt/C and W/Si multilayers for an effective bandpass of 2–80 keV. The high-energy detectors are of the same type as those flown on NuSTAR (Harrison et al., 2013), and they consist of 16 CZT sensors per focal plane, tiled 4 × 4, for a total of 128 × 128 pixel spanning a field of view slightly larger than for the LET, of 13.4′ × 13.4′.

All the simulations presented here were produced with a set of response files that represent the observatory performance based on current best estimates (see Madsen et al., 2023, in preparation). The effective area is derived from a ray-trace of the mirror design including obscuration by all known structures. The detector responses are based on simulations performed by the respective hardware groups, with an optical blocking filter for the LET and a Be window and thermal insulation for the HET. The LET background was derived from a GEANT4 simulation (Eraerds et al., 2021) of the WFI instrument, and the one for the HET from a GEANT4 simulation of the NuSTAR instrument, both positioned at L1. Throughout the paper, we present our simulation results for HEX-P using the SIXTE (Dauser et al., 2019) and XSPEC toolkits (Arnaud, 1996). To ensure the most realistic simulation results, we incorporated recent high-resolution X-ray images (mostly from Chandra or other wavelength observations), the best-known spectral information, and theoretical model predictions. Various exposure times have been considered for the feasibility studies presented in the following sections.

4 HEX-P observation program overview

One of the main objectives for the HEX-P mission is to comprehensively explore all types of cosmic-ray accelerators in our Galaxy, including the recently discovered PeVatron candidates. HEX-P’s primary mission will include observations of a diverse class of Galactic particle accelerators as outlined in Table 1. Broadly speaking, understanding particle acceleration, propagation, and cooling entails tackling four-dimensional problems that involve spatial distribution (X, Y), particle energy (E), and time (t). Modeling and observing particle acceleration/injection sites serve as the initial step for this exploration. While pulsars act as single-point central engines for producing PWNe, SNRs exhibit multiple acceleration sites, such as forward and reverse shock waves. Once particles are accelerated and injected into the ambient medium, they propagate and lose kinetic energy through various mechanisms, including radiative loss, adiabatic cooling, and collisions with the ISM and molecular clouds. Different regions away from the central engines contain particles injected at different times, requiring multi-zone investigations to track particle transport and cooling. Resolving the multi-wavelength radiation from multiple regions is vital to grasp the entire picture of how particle acceleration, propagation, and cooling interplay with each other. Furthermore, to assess the contribution of specific types of particle accelerators to the local and global CR populations in our Galaxy, it is crucial to examine objects at different stages of evolution.

TABLE 1

TABLE 1. HEX-P primary observation program of Galactic cosmic-ray accelerators.

Typically, energetic and powerful particle accelerators have been discovered through gamma-ray observations. Since the directional and intrinsic energy information of CRs is lost by the interstellar magnetic fields, the CR acceleration and propagation can only be probed indirectly through associated TeV gamma-ray sources. While gamma-ray detections indicate the presence of particle acceleration, the limited angular resolution of TeV gamma-ray telescopes often prevented source identifications. Multi-wavelength observations are required to determine source types and acceleration mechanisms, utilizing telescopes at lower energies and with sub-arcminute angular resolutions.

While CTAO is expected to revolutionize our views of Galactic particle accelerators in the TeV band, its high-quality gamma-ray data alone cannot fully identify the source types and acceleration mechanisms since broader spectral data are required to separate out different potential emission components (ICS, pion-decay, and synchrotron radiation). It has long been realized that multi-wavelength observations are crucial for identifying the sources and elucidating their emission/acceleration mechanisms. At lower energies, X-ray and radio observations play a unique and complementary role to the gamma-ray data by detecting synchrotron radiation from GeV–PeV electrons. Furthermore, broad-band X-ray spectral data provide unique diagnostics for determining the highest energy cutoff region of hadronic PeVatrons (Celli et al., 2020). To do this, the detailed shape of the X-ray spectrum, in particular the existence of curvature or spectral breaks must be well characterized.

Above all, the necessary condition for studying any particle accelerator in the X-ray band is the clean detection of non-thermal X-ray emission apart from soft, thermal X-rays. While previous and current X-ray telescopes such as NuSTAR achieved some success in this respect, HEX-P surpasses them as the ultimate non-thermal X-ray detector, given its unprecedented sensitivity above 10 keV. HEX-P excels in spatially resolving thermal and non-thermal (synchrotron) X-ray emission, providing valuable broadband X-ray morphology and spectroscopy data. Moreover, determining the distribution of magnetic fields around the acceleration sites is important for understanding particle transport and cooling processes. For example, low ambient B-fields may offer insights into why some PeVatron candidates seem to sustain extended TeV emission without undergoing fast synchrotron cooling. Variability studies with HEX-P, as well as modeling small-scale features, can constrain magnetic field strengths. HEX-P alone or in synergy with future TeV telescopes, provides the most powerful diagnostic tools to investigate the creation and propagation of the most energetic particles as well as their environments (e.g., magnetic field), ultimately shaping the CR populations both below and above the knee at $\sim 3$ PeV. A golden combination of HEX-P and CTAO can usher in a new and exciting era of multi-zone and multi-wavelength approaches to studying Galactic particle accelerators.

Below we summarize the primary HEX-P programs for studying a diverse class of Galactic particle accelerators as well as for investigating nucleosynthesis in young SNRs and potential neutron-star mergers. More detailed descriptions and simulation results on each program can be found in the subsequent sections.

4.1 Investigation of a variety of astrophysical shocks in the primary CR accelerators

Through synchrotron X-ray emission of TeV–PeV electrons: (1) DSA in SNRs, (2) PWN termination shock, (3) interactions between the SNR reverse shock and PWN, (4) intra-binary shock in gamma-ray binaries, (5) microquasar jet-driven shock, (6) colliding wind shock in star clusters, and (7) supermassive blackhole at Sgr A*. As outlined in Table 1, the primary science program will observe all these types of particle accelerators and prompt follow-up HEX-P observations.

4.2 Broad-band X-ray census of Galactic PeVatron candidates

In the most exciting and unexplored regime of astroparticle physics, HEX-P will play a pivotal role in multi-wavelength astrophysics by identifying Galactic PeVatrons and their acceleration/emission mechanisms in synergy with the upcoming CTAO observatory. Currently, 43 PeVatron candidates have been detected by LHAASO (Cao et al., 2023a), but most of them have not yet been identified with known sources, and even the leptonic or hadronic nature of the emission is not known. By the 2030s, more PeVatron candidates (at least $\sim 100$) are expected to be discovered. In addition, measuring the maximum particle energy exceeding $\sim 1$ PeV is necessary to establish that the LHAASO sources are indeed PeVatrons. HEX-P and CTAO will determine both the accelerator types and maximum particle energies through multi-wavelength SED studies.

4.3 Providing a dynamic view of X-ray filaments and knots in young SNRs

HEX-P will be able to detect year-scale variability from X-ray knots in young SNRs due to ongoing particle acceleration, magnetic field amplification, and fast synchrotron cooling (e.g., τ < 6 years for electrons emitting synchrotron X-rays at E_γ > 40 keV and B = 0.1 mG). HEX-P will identify the most energetic acceleration sites and determine if young SNRs contain localized PeVatrons associated with hard X-ray knots. This investigation is uniquely conducted with HEX-P by measuring local B-fields and maximum electron energies. See more details in the HEX-P SNR/PWN paper (Reynolds et al., 2023).

4.4 Dissecting particle acceleration, propagation, and cooling mechanisms in PWNe

HEX-P can provide spatially-resolved X-ray spectroscopy and broad-band X-ray morphology data of young and evolved PWNe. The pulsar X-ray emission can be separated and studied by timing analysis thanks to HEX-P’s $<2$ ms temporal resolution. HEX-P alone enables comprehensive multi-zone investigations to understand how particle acceleration, propagation, and cooling operate across various stages of PWN evolution. See more details in the HEX-P SNR/PWN paper (Reynolds et al., 2023).

4.5 Searching for non-thermal X-ray emission from star clusters and superbubbles

HEX-P will search for non-thermal X-ray emission arising from colliding winds in the prominent star clusters and superbubbles such as Arches, Westerlund 1 and 2, Cygnus OB region and 30 Dor C. These star clusters are recognized as primary sites for hadronic acceleration and are largely responsible for producing extended gamma-ray cocoons.

4.6 Surveying particle accelerators and CR distributions in the Galactic Center (GC)

In the GC, HEX-P will conduct surveys of the primary accelerators, including the supermassive BH at Sgr A*, the youngest SNR in our Galaxy (G1.9 + 0.3) and bright TeV sources such as PWN G0.9 + 0.1. HEX-P will also map the spatial and energy distributions of CRs in the central molecular zone and through X-ray filaments in the GC. See more details on Sgr A* flares, X-ray filaments and Arches cluster in the HEX-P GC paper (Mori et al., 2021).

5 Galactic PeVatrons

With the advent of extensive air-shower arrays (EASAs) such as HAWC and LHAASO operating in the ultra-high energy (UHE) band (E_γ ≳ 100 TeV), we are reaching the unprecedented regime of astroparticle physics by discovering PeVatrons that can accelerate CRs to PeV energies, far beyond the maximum energies reachable by the terrestrial particle accelerators (∼TeV). The presence of Galactic PeVatrons is a new, exciting reality since LHAASO detected 43 UHE sources in the Galactic disk (Figure 2; Cao et al., 2021b; a; Aharonian et al., 2021; Cao et al., 2023a). Similarly, HAWC and Tibet AS γ detected Galactic TeV sources above $\sim 50$ TeV, overlapping with most of the LHAASO sources (Abeysekara et al., 2020; Amenomori et al., 2021). Remarkably, some of the LHAASO sources were detected above 1 PeV, representing the most extreme known particle accelerators in our Galaxy. More Galactic PeVatrons are expected to be discovered as LHAASO and HAWC observatories accumulate more data over the next decade. PeVatrons in the southern sky remain unexplored where H.E.S.S reported several PeVatron candidates, such as HESS J1702−420A, whose gamma-ray spectra extend up to $\sim 100$ TeV (Abdalla et al., 2021). The South Wide-field Gamma-ray Observatory (SWGO) is expected to discover PeVatrons in the southern sky, complementing the northern sky coverage of LHAASO and HAWC (Hinton and SWGO Collaboration, 2022). The recent discoveries of the UHE sources by the EASAs marked a paradigm shift in high energy astrophysics from “Do PeVatrons exist in our Galaxy?” to “What are the Galactic PeVatrons detected by EASAs?” and “What is the contribution of Galactic PeVatrons to the UHE cosmic-ray population from the knee ($\sim 10^{15}$ eV) to the ankle ($\sim 10^{18}$ eV)?”.

FIGURE 2

FIGURE 2. LHAASO E > 100 TeV significance map of the Galactic Plane (10° < l < 115°) excerpted from Cao et al. (2023a).

TeV gamma-ray sources, including the Galactic PeVatrons, are usually classified as primarily leptonic or hadronic accelerators. A substantial fraction of energetic e^+/− at GeV–PeV energies could be generated by PWNe and pulsar halos (Cholis and Krommydas, 2022; López-Coto et al., 2022). A PWN is generally assumed to be a pure leptonic accelerator, with synchrotron and ICS emission from the expanding bubble of shocked, highly relativistic e^+/− pulsar wind continuously injected by the pulsar. However, the possible presence of hadrons in the pulsar wind (see, e.g., Atoyan and Aharonian, 1996; Amato et al., 2003; Guépin et al., 2020) has not been ruled out by present observations (Amato and Olmi, 2021). In the hadronic accelerators, energetic CR ions diffuse out from the accelerator site, collide with any ambient dense material, and produce copious pionic showers which decay into neutrinos, γ-rays and (secondary) e^+/−. SNRs near clouds, massive star clusters, and superbubbles are considered the primary hadronic accelerators (Aharonian et al., 2019; Cristofari, 2021). Black holes in different mass scales have been recognized as another class of Galactic particle accelerators or possibly PeVatron candidates, associated with X-ray binaries (Kantzas et al., 2022), microquasars (Safi-Harb et al., 2022b), and the supermassive black hole at Sgr A* (HESS Collaboration et al., 2016).

5.1 Multi-wavelength observations of Galactic PeVatrons with HEX-P and CTA

While the EASAs such as LHAASO serve as PeVatron search engines, their UHE sources (above 0.1 PeV) are poorly localized or spatially extended due to their limited angular resolutions. The position and extent of the LHAASO sources usually have an uncertainty of $\sim 0.1°$ and $\sim 0.3°$, respectively (Cao et al., 2021b; Cao et al., 2023a). Therefore, observations at lower energy γ-ray band (E_γ ≲ 50 TeV) by IACTs such as VERITAS, H.E.S.S, and MAGIC are crucial for resolving the UHE sources with ≲ 0.1° angular resolutions. However, the current IACTs have resolved only two UHE sources (LHAASO J2108 + 3651 and J1825-1326) into multiple distinct TeV sources so far, possibly because the UHE sources are largely extended, obscured by diffuse TeV emission in the Galactic Plane or fainter than the current IACT’s sensitivity limits (Aliu et al., 2014; S. S. Collaboration et al., 2020). Similarly, in the GeV band, Fermi-LAT sources were detected near some UHE sources, but the unique identification of GeV counterparts is often difficult due to the low angular resolution of Fermi-LAT. Resolving the UHE sources will need to wait until CTAO, the next-generation IACT, becomes fully operational in the mid-2020s. Observing Galactic PeVatrons is a key science project (KSP) for the CTAO mission, and it is recognized as one of the important science goals in the gamma-ray and astroparticle physics communities (Cherenkov Telescope Array Consortium et al., 2019). CTAO is expected to resolve and localize the most energetic particle acceleration sites in the Galactic PeVatrons.

In the X-ray band, given its broadband coverage and high sensitivity up to 80 keV, HEX-P will be uniquely suited for exploring the nature and acceleration mechanisms of Galactic PeVatrons in synergy with CTA. HEX-P will be optimal for detecting diffuse non-thermal X-ray emission and characterizing the known counterparts (e.g., PWNe, SNRs, star clusters) of the UHE targets. Both HEX-P and CTAO, reaching the regime of the highest energy particles in the PeVatrons, are alike for their broad-band energy coverages and versatile functionality equipped with excellent angular, energy, and timing resolutions. CTAO will be able to resolve the LHAASO/HAWC sources with $\sim 1^{\prime }$ angular resolution and guide HEX-P in pinpointing their central engines and primary high-energy emission sites. Hard X-ray emission should originate from more compact regions (which will likely be covered by a single or few pointings with HEX-P) as observed from many of the known Galactic TeV sources (e.g., Coerver et al., 2019). In both leptonic or hadronic particle accelerators, synchrotron X-ray radiation is expected from Galactic TeV sources through primary electrons and secondary electrons from pionic showers. Accurate measurements of the B-field are crucial since synchrotron radiation is typically the dominant particle cooling process for TeV-PeV electrons. Unfortunately, NuSTAR observations of many extended X-ray sources have been limited by high background contamination, often resulting in detections up to only 20 keV. Expanding on the previous X-ray + TeV observations (e.g., NuSTAR + HAWC + VERITAS, H.E.S.S + Suzaku surveys), multi-wavelength SED data obtained by HEX-P and CTAO will enable identifying the nature of Galactic PeVatrons in the 2030s. An example, shown in Figure 3, depicts the fit of LHAASO and simulated CTAO SED data of one of the dark PeVatron accelerators (LHAASO J2108 + 5157) using both leptonic and hadronic models. The SED plot highlights a stark contrast in the X-ray fluxes and slopes within the HEX-P band. Moreover, Figure 4 displays multi-wavelength SEDs of a hadronic PeVatron with two different primary proton spectra. The synchrotron X-ray emission from secondary electrons provides the most sensitive diagnostics for determining the proton energy distribution, particularly in the cutoff PeV energy band, unlike gamma-ray and neutrino SEDs (Celli et al., 2020).

FIGURE 3

FIGURE 3. Multi-wavelength SED models for LHAASO J2108 + 5157 including both hadronic (black solid line) and leptonic (black dotted line) models. The flux points from LHAASO-KM2A Cao et al. (2023a) are overlaid as yellow circles. The CTAO flux points (blue square) are from a 100-h simulation using the Small-Sized Telescopes (SST) and Medium-Sized Telescopes (MST). The HEX-P LET and HET flux points, the green and red crosses, respectively, are from 200-ks simulations.

FIGURE 4

FIGURE 4. Primary proton energy distributions (A) and multi-wavelength SED models (B) for hadronic PeVatrons, excerpted from Celli et al. (2020). Two types of primary proton spectral models are considered: Maxwellian-like (solid lines) and power-law with an exponential cutoff (dashed lines). The synchrotron X-ray spectra are quite distinct between the two scenarios (assuming B = 1 mG). HEX-P will thus play a complementary role in constraining the primary CR spectra to the gamma-ray and neutrino telescopes.

In summary, HEX-P will play a crucial role in the multi-messenger investigations of PeVatron astrophysics. As part of the primary science program, HEX-P aims to observe five Galactic PeVatron candidates, while CTAO is expected to survey most of the PeVatron candidates through their KSP program. Very recently and excitingly, IceCube detected TeV–PeV neutrinos in the Galactic Plane as the first evidence of Galactic hadronic PeVatrons (IceCube Collaboration et al., 2023). HEX-P will survey various types of PeVatron candidates, including leptonic, hadronic, and dark accelerators (with no apparent low-energy counterparts or association with known astrophysical sources), paving the way for more extensive PeVatron observations through the PI-led GTO or GO programs.

6 Star clusters and superbubbles

Star clusters, observed in broad ranges of masses, ages, and stellar densities (Pfalzner, 2009; Krumholz et al., 2019) might be found in different types of galaxies with high star-forming rates (Whitmore, 2000; Adamo et al., 2020). The evolution of the galactic environment is closely related to star formation, which is a key phenomenon that binds together important constituents from molecular gas to magnetic fields and cosmic rays in a close relationship. Star-forming regions both in the Milky Way and in starburst galaxies are known sources of broadband non-thermal radiation from radio to gamma rays, indicating the presence of relativistic particles. A significant part of massive stars is believed to evolve as clusters, which are gravitationally bound groups of stars of a common origin. Of particular interest are massive star clusters (MSCs) found in many regions of star formation. MSCs are sources of both thermal and non-thermal X-ray radiation, and they are considered effective cosmic ray accelerators (e.g., Bykov, 2014; Aharonian et al., 2019). The Milky Way contains a number of well-studied MSCs, such as NGC 3603 (Drissen et al., 1995), Westerlund 1/2 (Clark et al., 2005; Zeidler et al., 2015), Arches (Figer et al., 2002), and Quintuplet (Figer et al., 1999), which contain dozens and even hundreds of bright OB, Wolf-Rayet (WR), cool super- and hypergiant stars in the cluster cores of a parsec scale size.

In recent years, MSCs and superbubbles have been recognized as one of the primary classes of hadronic accelerators, possibly accounting for some of the PeVatrons in our Galaxy (Aharonian et al., 2019). In hadronic accelerators, energetic CRs diffuse out from the accelerator site (star cluster), collide with ambient medium and molecular clouds, and produce copious pionic showers which decay into neutrinos, gamma-rays, and electrons/positrons. MSCs contain a number of massive stars (M > 20M_⊙) and sometimes form large-scale H II regions, the so-called superbubbles, by ionizing and heating the surrounding gas. Colliding winds in massive binaries (composed of OB and WR stars) can also accelerate particles efficiently and emit non-thermal high-energy radiation (Pittard et al., 2020; Morlino et al., 2021). An important clue to support the MSC origin of PeVatrons has arisen from a recent discovery of diffuse gamma-ray sources around a handful of the MSCs and superbubbles. Remarkably, H.E.S.S. and Fermi-LAT discovered the so-called γ-ray cocoons extending over ∼ 50–300 pc around two MSCs (Westerlund 1 and 2) and two superbubbles (Cygnus and 30 Dor C in the LMC). A leptonic origin for the γ-ray cocoons is ruled out since TeV–PeV electrons will cool down before traveling over the cocoon size distance. There are two key features observed from the γ-ray cocoons that suggest they are likely hadronic PeVatrons. First, H.E.S.S. and Fermi-LAT detected hard γ-ray spectra with Γ ≈ 2 up to E ≳ 10 TeV with no spectral cutoff–this is a potential signature of PeVatrons (Yang et al., 2019). Secondly, the CR proton densities decrease as 1/r where r is the distance from the star cluster (Yang et al., 2019). The 1/r profile indicates that the CRs must be injected from the source continuously over $\sim 10^6$ years. SNRs alone are unlikely to produce γ-ray cocoons since an unreasonably high SNR birth rate of more than one per 100 years is required in the region (Yang et al., 2019). Similarly, the MSCs such as Arches and Quintuplet clusters have been proposed as alternative particle accelerators which cause diffuse TeV emission in the central molecular zone (CMZ) of the Galactic Center, in addition to the (currently dormant) supermassive black hole at Sgr A* (Aharonian et al., 2019) Hence, the most plausible hypothesis is that MSCs continuously injected TeV–PeV CRs into the ambient molecular clouds, along with episodic supernova explosions, over the past $\sim 10^6$ years and formed the γ-ray cocoons and superbubbles extending over ∼50–300 pc (Vieu et al., 2022; Gabici, 2023). This hypothesis needs to be tested by multi-wavelength observations.

6.1 Star clusters

In order to explore the formation of gamma-ray cocoons, firstly, it is essential to study how their central engines (i.e., MSCs) accelerate particles using X-ray and TeV data. Given that the gamma-ray cocoon profiles suggested continuous particle injections, their star clusters should be presently accelerating particles. The TeV emission mechanism from MSCs is still unsettled partially due to the lack of associated non-thermal X-ray detection. TeV gamma-rays could be produced by hadronic interactions in the colliding winds or ambient molecular clouds or ICS emission due to the high radiation densities within the clusters. It remains uncertain whether the prominent MSCs such as Westerlund 1 exhibit non-thermal X-ray emission caused by colliding wind shocks, apart from the thermal X-rays from numerous massive stars. Note that NuSTAR data of Westerlund 1 and Cygnus OB associations are severely contaminated by background photons from nearby magnetar and X-ray binaries (Borghese et al., 2019; Mossoux et al., 2020). From Westerlund 2, a hard X-ray component has been detected up to $\sim 20$ keV by SRG/ART-XC but its origin remains undetermined between non-thermal (Γ ∼ 2) and thermal plasma (kT ∼ 5 keV) emission (Bykov et al., 2023). For the Arches cluster, variable non-thermal X-ray emission was detected by NuSTAR from its nearby molecular clouds, but not from the star cluster itself (Krivonos et al., 2014). So far, NuSTAR has identified non-thermal X-ray emission only from Eta Carina (Hamaguchi et al., 2018). Eta Carina has been considered an exception as it is the supermassive and most luminous binary star system in our Galaxy.

Without detecting non-thermal X-ray emission, it remains elusive whether numerous massive stars and binaries can emit strong winds and accelerate particles collectively in the MSCs. Given its higher angular resolution and sensitivity than NuSTAR, HEX-P is best suited for resolving non-thermal X-rays from predominant thermal X-ray emission spatially and spectrally. HET is particularly important since the MSCs are usually crowded with other non-thermal X-ray sources such as magnetars and PWNe. A good example is Westerlund 1 where NuSTAR data are severely contaminated by X-ray photons from the magnetar CXOU J164710.2−455216 in the region. Overall, broad-band LET + HET spectra will be able to characterize both thermal and non-thermal X-ray components from star clusters with significantly reduced background levels than NuSTAR. For example, Figures 5A displays simulated HEX-P spectra for Westerlund 2, whose non-thermal X-ray component is detected up to $\sim 30$ keV. In addition to Westerlund 1and2 and the Cygnus regions, HEX-P’s GC survey program will cover Arches and Quintuplet star clusters which have been considered as one of the primary particle accelerators in the GC region (Aharonian et al., 2019). HEX-P observations of Orion and Carina nebulae will allow us to explore X-ray source populations and potential particle acceleration sites in younger star clusters (Mori et al., 2021).

FIGURE 5

FIGURE 5. (A): Simulated HEX-P LET + HET spectra of Westerlund 2 (r < 90^″ around the core of the cluster). We input an absorbed APEC + power-law model, which was also fit to the simulated spectra. The spectral parameters used in the model (kT = 2.6 keV and Γ = 2) were determined by NuSTAR analysis of the same region. Note that the photon index is not well constrained by NuSTAR data due to the poor signal-to-noise ratio above 10 keV, also making the detection of a non-thermal emission component ambiguous. For comparison, we fit an absorbed double-APEC model to the simulated HEX-P spectra and found that the second thermal plasma component yielded an unreasonable and unconstrained plasma temperature of kT > 27 keV. (B): Simulated spectrum of the Arches cluster emission expected from the circular region with R = 50^″ Krivonos et al. (2017), Kuznetsova et al. (2019). The spectrum is presented for HEX-P (red for LET and blue and green for HET) in the 1–70 keV energy band with the 150 ks exposure time. The non-thermal emission was simulated for a case of Γ = 1 and the non-thermal flux of 7% of the total flux in the 2–10 keV energy band.

The star clusters Arches and Quintuplet, located in the GC, are known X-ray emitters: thermal and possibly non-thermal X-ray emission was detected by Chandra (Law and Yusef-Zadeh, 2004; Wang et al., 2006). The nature of the non-thermal X-ray emission of the Arches cluster is not completely known. Tatischeff et al. (2012) mapped the molecular cloud in 6.4 pkeV Fe fluorescent line and made an assumption about collisional ionization by low energy CR (LECR) particles. Furthermore, Krivonos et al. (2014) studied the extended X-ray emission of the Arches complex, containing star cluster and nearby molecular cloud, at energies above 10 keV with NuSTAR data (see also Kuznetsova et al., 2019). They showed that non-thermal emission is consistent with the X-ray reflection scenario, but also in broad agreement with the bombardment of the neutral matter by LECR protons. Clavel et al. (2014) showed that the X-ray flux from the Arches molecular cloud in the 6.4 keV line and continuum has been decreasing since 2012, which indicates cloud ionization from a possible Sgr A* flare. Since then, studies of non-thermal emission from the Arches complex have not been carried out, and after a few years, a significant decrease in the flux can be expected. This opens a possibility to observe the Arches star cluster isolated, i.e., without strong contribution from non-thermal emission of the molecular cloud, and to detect possible non-thermal emission of the star cluster itself.

To investigate the prospects of HEX-P to discover the intrinsic non-thermal emission from the Arches star cluster, we consider the observed total X-ray emission in 2015–2016 with NuSTAR and XMM-Newton (Krivonos et al., 2014; Kuznetsova et al., 2019). The properties of the cluster’s thermal emission are well known; for example, Kuznetsova et al. (2019) uses collisionally ionized plasma with a temperature of 1.95 keV and an unabsorbed 2–10 keV flux F_apec = 1.16 × 10⁻¹² ergs cm⁻² s⁻¹. Due to the unknown spectral form of the expected Arches cluster non-thermal emission, we consider a power-law model with a photon index Γ = 1 and Γ = 2. To constrain the normalization of the power-law model, we imposed the 10–40 keV flux not to exceed the observed total emission of F_{10–40 keV} = 4 × 10⁻¹³ ergs cm⁻² s⁻¹ within 50″ from the cluster’s center (Kuznetsova et al., 2019). For an exposure of 150 ks, we estimate the non-thermal flux to be detected at the significance of 8σ for both spectral indexes, with the uncertainty of spectral index at the level of 30% and 10% for Γ = 1 and Γ = 2, respectively (see Figures 5B for Γ = 1). The simulated thermal flux of the Arches cluster 1.3 × 10⁻¹⁴ ergs cm⁻² s⁻¹ in 10–40 keV band can be considered as a threshold, above which the non-thermal component can be revealed.

The angular resolution of the LET module will allow resolving bright point sources in the dense cluster’s core. To model the spatial morphology of the cluster seen by LET, we utilize the spatial and spectral information of the bright sources A1N, A1S, and A2 in the Arches cluster detected with Chandra by Wang et al. (2006). Figure 6 demonstrates the 150-ks LET simulation which allows resolving A2 from A1N and A1S. We conclude that LET will provide an opportunity to investigate the spatial morphology of the Arches cluster thermal emission in detail. In addition, Figure 6 clearly demonstrates different source morphologies seen by HET for different cases of non-thermal emission likely to be emitted by point sources of the Arches cluster.

FIGURE 6

FIGURE 6. 150-ks simulations of various scenarios of thermal and non-thermal emission from the Arches cluster for LET and HET. The crosses correspond to the positions of the brightest point sources within the Arches cluster detected by Chandra (Wang et al., 2006). The assumed fraction of the non-thermal flux to the total flux in the 2–10 keV energy band and the photon index of the power-law component are labeled at the upper right corner of each figure.

6.2 Superbubbles

While star clusters are the primary sites of accelerating and injecting particles, superbubbles extending over hundreds of parsecs emerge as a result of energetic particles propagating into the surrounding medium over millions of years. 30 Dor C is the only superbubble detected with non-thermal X-rays (Bamba et al., 2004) up to 20 keV (Lopez et al., 2020) and TeV gamma-rays (S. S. Collaboration et al., 2015). The non-thermal X-ray luminosity is 10 times brighter than that of SN 1006, and similar to that of RX J1713.7−3946 (Nakamura et al., 2012), implying that 30 Dor C hosts a powerful particle accelerator. Bykov (2001, Bykov, 2006) proposed that episodic supernova explosions in star clusters can generate multiple shock waves and their interactions within the superbubbles result in energetic particle acceleration. This idea is supported by the XMM detection of a young SNR inside 30 Dor C (Kavanagh et al., 2015). However, we still lack a global picture of which physical parameters control the particle acceleration mechanism since no other superbubbles have non-thermal X-ray emission detected yet (Yamaguchi et al., 2010). The acceleration mechanism of superbubbles seems to operate differently from that of SNRs since the superbubble is filled with less dense, optically-thin hot plasma. Due to the smaller Mach numbers of the SN shocks in the superbubbles, the shock waves expand without deceleration until they abruptly slow down upon colliding with the surrounding dense gas. Given the complex interactions between SN shock waves and ambient gas, it is challenging to model the maximum energy of accelerated particles and their energy evolution. To determine the contribution of superbubbles to the Galactic cosmic-ray populations, it is crucial to measure the maximum electron energies through broadband non-thermal X-ray spectra from superbubbles. HEX-P observations of superbubbles, leading to measuring their X-ray spectral indices and roll-off energies, will allow us to elucidate how their particle acceleration processes are different from those of SNRs (e.g., Cas A and Tycho). For example, a simulated HEX-P HET image of 30 Dor C is presented in the Figures 7B. Note that 30 Dor C will be covered by the 300 ks HEX-P observation of SN 1987A in the same FOV. The simulation clearly shows hard X-ray emission up to 20 keV with only 300 ks (compared to the NuSTAR observations with $\sim 3$ Ms yielding similar results (Lopez et al., 2020)), highlighting HEX-P’s capability of detecting extended sources in the hard X-ray band.

FIGURE 7

FIGURE 7. (A): Chandra image around 30 Dor C in the 2–7 keV band used as an input for SIXTE simulations. We input the best-fit spectral parameters from four shell-like regions, which correspond to the regions A–D shown in Figure 1 in Bamba et al. (2004). (B): Simulated HEX-P HET image of 30 Dor C in the 7–20 keV band in a linear scale. One can see clear emission from its shells up to 20 keV with only 300 ks exposure.

7 SS433/W50 lobes

The Manatee Nebula W50 is one of the most prominent radio sources in the sky, associated with the microquasar SS 433 located at a distance of 5.5 kpc (Figure 8 and, e.g.,; Dubner et al. (1998)). The bipolar jets launched from SS 433 interact with the ISM and W50 nebula, producing distinct features in multiwavelength bands. Of particular interest are knot-like structures at both the eastern and western lobes, referred to as e1–2 and w1–2, recently shown to be sites of TeV gamma-ray emission (HAWC Collaboration et al., 2020; Cao et al., 2023a). The initial ASCA/ROSAT/RXTE/XMM surveys identified distinct X-ray knots in the eastern (e1–e3) and western (w1–w2) lobes (Safi-Harb and Ögelman, 1997; Safi-Harb and Petre, 1999; Brinkmann et al., 2007) with non-thermal X-ray emission dominating the inner regions, likely synchrotron radiation from accelerated electrons. Only e3 has an apparent counterpart in the radio band known as the eastern ear. The HAWC discovery of TeV gamma-ray emission from the eastern and western lobes, recently also detected by LHAASO (Cao et al., 2023a), indicated that the SS 433/W50 system could represent another class of extreme particle accelerators powered by microquasar jets (HAWC Collaboration et al., 2020).

FIGURE 8

FIGURE 8. Entire image of the SS 433/W50 system, taken from Safi-Harb et al. (2022a). White boxes show the FoV of HEX-P and our proposed pointings.

The detection of TeV emission by HAWC has motivated extensive studies of the W50 system, including multi-wavelength surveys below the TeV band, theoretical modeling, and numerical simulations. Among various follow-up observations, XMM unveiled that there exists a relatively compact structure at the e1 knot, dubbed the head region (Figure 8). Broadband X-ray spectra with XMM and NuSTAR were characterized by a power-law model with Γ ∼ 1.5 up to ∼30 keV in the head region (Safi-Harb et al., 2022a). In the western lobe, using the archival Chandra data (Moldowan et al., 2005; Kayama et al., 2022) recently extracted a detailed profile of spectral parameters along the western lobe (w1–w2), revealing that non-thermal X-ray emission begins at w1 (where the particle acceleration is initiated and most energetic) and becomes gradually softer toward w2 due to synchrotron cooling. In the radio band, an extensive VLA survey in the 1.4 GHz band was conducted over the entire W50 system, mapping synchrotron radiation emitted by lower-energy (GeV) electrons (Sakemi et al., 2021). As shown in Figure 8), the W50 “mini-AGN” system manifests all elements of astrophysical jets: acceleration sites (the inner lobes); particle propagation/cooling along the jet; and thermalization at the termination region. Motivated by the HAWC discovery in 2018, a handful of particle acceleration models have been developed, including leptonic and hadronic SED models (Kimura et al., 2020a; Sudoh et al., 2020) as well as MHD simulations (Ohmura et al., 2021).

Despite the extensive X-ray surveys with XMM, Chandra, and NuSTAR, we are still not at the stage of fully testing these theoretical model predictions, let alone deciding the origin of TeV emission between the leptonic and hadronic acceleration mechanisms. The NuSTAR data of the head regions (e1 and w1) are severely contaminated by ghost-ray background photons from SS 433 (Safi-Harb et al., 2022b) above $\sim 30$ keV. The TeV emission needs to be resolved with ≲ 20″ angular resolution so that it can be compared well with the X-ray and radio data. Apparently, we need multi-zone, multi-wavelength observations and modeling tied together, in order to completely determine how particles get accelerated and propagate, while cooling, throughout the bipolar jets. As mentioned repeatedly for other types of particle accelerators, HEX-P and CTAO will make the highest impact on understanding this complex system, including local MHD phenomena such as magnetic-field amplification and knot formation.

7.1 Scientific objectives with HEX-P

A HEX-P X-ray survey of the SS 433/W50 system will be able to resolve the spectral and spatial profiles and will offer a unique opportunity to investigate particle acceleration by microquasar jets and their interactions with the surrounding environment. During the primary science program, HEX-P plans to survey the SS 433/W50 region with four observations pointing at the e1, e2, w1, and w2 knots, as shown in Figure 8. To assess the feasibility of HEX-P observations, we conducted simulations with the SIXTE and XSPEC packages. For instance, Figure 9 illustrates simulated HET images of the western lobe in different energy bands with an exposure of 75 ks? The simulations use as input the Chandra flux image in 0.5–7 keV and spatial distributions of spectral parameters, N_H, flux, and Γ, which were adopted from Figure 6 in Kayama et al. (2022). Note that the w1 knot, which exhibits a harder X-ray spectrum, remains clearly visible up to $\sim 80$ keV, while the softer w2 knot can be detected up to $\sim 25$ keV. Hence, HEX-P will have the capability of fully characterizing the X-ray spectral and spatial distributions, tracking the evolution of relativistic particles along the jets.

FIGURE 9

FIGURE 9. (A): Input Chandra flux, photon index, and column density maps of SS433/W50 western lobe in 0.5–7 keV. (B,C): Simulated HET images in five different energy bands of w1–2 with exposure of 75 ks Green lines show the FoV of Chandra ObsID 3843.

7.1.1 Determining the particle acceleration mechanism

The origin of the TeV emission from the inner lobes remains uncertain since the current multi-wavelength SED data do not provide conclusive evidence for distinguishing between the leptonic and hadronic models (Kimura et al., 2020b). Similar to other TeV sources, gamma-ray information alone is insufficient to discriminate between the leptonic and hadronic scenarios or to constrain model parameters. Instead, broad-band X-ray spectroscopy and morphology studies with HEX-P, along with CTAO, will be critical in elucidating the origin of the TeV emission and constraining key model parameters such as magnetic field (B) and electron/proton spectral indices. The morphology data obtained by HEX-P, capturing non-thermal X-rays, will enable us to spatially correlate synchrotron X-ray emission with molecular clouds (Yamamoto et al., 2022) and radio features (Sakemi et al., 2021). Note that the molecular cloud and radio maps track the target material distribution for hadronic interactions and the magnetic field distribution, respectively. The identification of hot spots in hard X-rays, coinciding spatially with molecular clouds and high-density optical filaments, would lend support to the hadronic case where synchrotron X-ray radiation originates from secondary electrons (produced by proton-proton collisions and subsequent pion decays) (Kimura et al., 2020b). Conversely, in the leptonic case, a more gradual X-ray spectral softening is expected from the acceleration site (w1/e1) to the termination region (w2/e2 or e3) as propagating electrons cool down via synchrotron radiation (Sudoh et al., 2020). A combination of multi-wavelength SED analysis and the localization of energetic electrons, for which the hard X-ray band coverage of HEX-P plays a crucial role, can distinguish between the leptonic and hadronic scenarios robustly (Kimura et al., 2020a).

7.1.2 Constraining acceleration efficiency along the jets

Measuring the cutoff energy (E_c) in the synchrotron X-ray spectrum offers direct insights into the particle acceleration mechanism by constraining an “acceleration efficiency factor” η_acc ≡ c τ_acc/r_L, where τ_acc is the acceleration time to energy E and r_L the Larmor radius (Sudoh et al., 2020). That is, η_acc is the dimensionless acceleration time, measured in units of the inverse of the Larmor frequency. Particularly, in the case of DSA and cooling-limited electrons, the combination of E_c and shock velocity provides a robust means to derive η_acc independent of the B-field. In the standard diffusion scenario, η_acc is characterized by the gyrofactor η_g, the ratio of the mean free path of a particle to its gyroradius (η_g = 1 is the “Bohm limit”). Ultimately, η_acc and E_c can be used to determine the maximum energies of accelerated particles, assuming an age-limited case. Of particular importance is the determination of whether η_acc is smaller than 10², as it implies the acceleration of particles to PeV energies in the formalism of (Sudoh et al., 2020). Previous observations with NuSTAR detected non-thermal X-ray emission in the head regions, where the particle acceleration is considered to be most active, up to ∼20–30 keV, but a cutoff was difficult to determine because of the high background level. In contrast, HEX-P holds a great premise of extending its sensitivity up to 80 keV, enabling the more accurate determination of cutoff energies and further constraining the acceleration efficiency factors.

In order to demonstrate the unique capabilities of HEX-P determining parameters related to particle acceleration, we conducted simulations based on the leptonic model developed by Sudoh et al. (2020), covering a wide range of η_acc values. For the case of DSA, the η_acc parameter and the gyrofactor η_g are related: ${\eta }_{\text{acc}}\simeq 10^2({\eta }_g/2){(v_{\text{sh}}/0.26c)}^{-2}$ (see Sudoh et al. (2020) for details). Figure 10 displays the simulated HET spectra of the e1 knot with an exposure time of 75 ks? We found that a spectral cutoff energy can be measured with $<10$% accuracy, which is sufficient to distinguish between η_acc = 10, 10², 10³, and 10⁴. In the w1 knot where its X-ray flux is fainter, a 75-ks HEX-P observation can unambiguously determine whether the acceleration is in the Bohm (η_g ∼ 1) or non-Bohm (η_g ≫ 1) regime. A longer exposure time will constrain η_acc values in the w1 knot similarly to the e1 knot. The determination of acceleration efficiency within the microquasar jets will provide valuable insights among accelerators with different scales, such as η_g ∼ 1 (the most efficient acceleration case) at SNR shells (e.g., Tsuji et al., 2021) and η_g ∼ 10⁶ at AGN jets (e.g., Araudo et al., 2015; Inoue and Tanaka, 2016). By combining HEX-P and CTAO observations with the existing radio data, it will be possible to perform the most refined multiwavelength SED analyses at various X-ray knot locations, as shown in Figures 10A, at sub-arcminute scales. This panchromatic approach will yield mapping of the distribution of acceleration efficiency and boost our understanding of particle acceleration and evolution along the microquasar jets/lobes.

FIGURE 10

FIGURE 10. (A): multiwavelength SED of e1 and theoretical models with different acceleration efficiency (η_acc) by Sudoh et al. (2020). (B): simulated HET spectra of e1 with exposure of 75 ks.

7.1.3 Knot formation in the microquasar jets/lobes

The formation and evolution of X-ray knots along the jets, not only in the case of W50 but also in AGN jets, remain uncertain and represent a long-standing question in astrophysics. Theoretical studies have proposed that the interaction of the jets with the ambient medium produces knot-like structures, as demonstrated by MHD simulations (Ohmura et al., 2021). The proximity of W50 provides a unique opportunity for correlating the X-ray knots and known ambient features such as molecular clouds and filaments. Furthermore, it is not fully understood whether the knot sizes are determined by radiation loss, adiabatic cooling, magnetic field amplification, and re-acceleration (Sudoh et al., 2020). A recent X-ray study suggested synchrotron cooling, in combination with amplified B-fields, dominates in several locations of the western lobe (e.g., w2), in order to reproduce the X-ray spectral profile obtained by Chandra observations (Kayama et al., 2022). If synchrotron cooling is indeed predominant in most or all of the X-ray knots, HEX-P will contribute to the determination of local B-fields by measuring the presumably energy-dependent sizes of the X-ray knots. The broad-band X-ray morphology traces the production site and cooling timescales of TeV-PeV electrons by detecting synchrotron burn-off effects. By directly measuring local B-fields, HEX-P can uniquely investigate the origin of X-ray knot formation and test the leading theoretical hypothesis of B-field amplification (Sudoh et al., 2020). Consequently, a HEX-P survey of W50 will provide valuable insights into the processes involved in knot formation and contribute to our fundamental understanding of astrophysical jets.

8 TeV gamma-ray binaries

TeV gamma-ray binaries (TGBs) are unique binary systems composed of a compact object and a massive companion, typically an O- or B-type star. To date, fewer than 10 TGBs have been discovered within our Galaxy, with one additional TGB in the LMC (Corbet et al., 2016). In three of these TGBs, the compact object was identified as a pulsar. While TGBs belong to a subclass of high-mass X-ray binaries (HMXBs), they possess distinct properties, notably their predominantly non-thermal SEDs peaking above MeV energies. Except for the intense optical blackbody (BB) emission from their companions, multi-wavelength SEDs of the known TGBs exhibit a double-humped feature (e.g., Figure 11). The low-energy hump, observed from radio to X-ray band, arises from synchrotron radiation emitted by energetic electrons present in either the jets of a BH [microquasar model, e.g., Marcote et al. (2015)] or the intra-binary shock (IBS) formed by interactions between the pulsar and companion star winds [pulsar-wind model, e.g., Dubus (2013)]. The high-energy bump, observed in the ≥100 GeV band, is due to ICS between relativistic electrons and BB photons from the companion. The X-ray emission above $\sim 10$ keV and the $>$TeV emission imply the presence of highly energetic (TeV) particles within TGBs. Furthermore, the broadband emission from TGBs exhibits strong orbital modulation, which can be attributed to the Doppler beaming of shocked particle flow and orbital variations of the ICS geometry.

FIGURE 11

FIGURE 11. Broadband SED of the TGB HESS J0632 + 057 and an IBS model [figure taken from Kim et al. (2022). SEDs measured with Swift (lime), NuSTAR (red), and H.E.S.S. (magenta) are displayed with line segments with each line representing a measurement at an orbital phase. The data points at ∼GeV are LAT-measured fluxes, which may include the putative pulsar’s magnetospheric emission. The dashed or colored curves show various model components and the thick curve is the sum of them.

For the TGB systems in which the compact object is known to be a pulsar (PSR B1259−63, PSR J2032 + 4127, and LS I +61° 303; Johnston et al., 1992; Abdo et al., 2009; Weng et al., 2022), an IBS in the pulsar-wind scenario are responsible for the broadband non-thermal emission. These systems all contain a Be-type companion with an equatorial disk. Broadband emission properties of these TGBs have been best studied for the archetypal object PSR B1259−63. The pulsar crosses the disk at orbital phases near the periastron, and the pulsar-disk interaction produces dramatic X-ray and TeV flares at the crossings, accompanied by delayed orphan GeV flares. The physical mechanisms responsible for these flares are not well understood yet but are speculated to be related to the pulsar–disk interaction which could enhance seed photon density and/or (partial) disruption of the IBS by the disk. NuSTAR observations of PSR B1259−63 during such orbital intervals (including the GeV flare periods) revealed that the spectra were well fit by a hard Γ_X = 1.5 power-law model, whereas the source spectra were softer (Γ_X ≈ 1.8–2.0) at the periastron and disk-crossing phases (Chernyakova et al., 2015). These observed spectral variations are likely caused by a change in the particle injection spectrum and/or enhanced cooling at the disk-crossing phase. In the former case, we expect a power-law X-ray spectrum extending to ∼ MeV energies, where the synchrotron cooling break is expected in TGBs (e.g., An and Romani, 2017). In the latter case, however, the amplified B-field of the IBS, caused by compression from the circumstellar disk (Tokayer et al., 2021), may increase the synchrotron cooling rate, leading to a spectral break in the X-ray band. Thus, accurate measurements of the X-ray and gamma-ray spectral shapes are important to elucidate the particle acceleration and flow processes within relativistic shocks.

8.1 Scientific objectives with HEX-P

Previous NuSTAR observations in the soft state of PSR B1259−63 were consistent with a simple power-law model to 79 keV. However, the sensitivity of NuSTAR data was limited in detecting a break or cutoff at $>$30 keV due to the high background level. Given the large effective area, higher angular resolution, and reduced background, HEX-P will significantly improve the current measurements of the X-ray spectra during the disk crossing phases. Figure 12 displays simulation results for a 50-ks HEX-P observation during a disk-crossing phase. For the simulations, we used an exponential-cutoff power law $(K{(E/1\mathrm{k}\mathrm{e}\mathrm{V})}^{-{\mathrm{\Gamma }}_X}\mathrm{e}\mathrm{x}\mathrm{p}(-{[E/E_c]}^{\alpha }))$, where K and Γ_X were obtained from the NuSTAR results of PSR B1259−63 at the crossing phase (power law with Γ_X = 1.84 and F_{1–10 keV} = 2.84 × 10⁻¹¹ erg s⁻¹ cm⁻²; Chernyakova et al., 2015). We held the exponential index α fixed at 5 and varied E_c. We then fit the simulated spectra with a power-law and an exponential-cutoff power-law model, and we employed the F-test to discern between the two models. Our results, shown in the Figures 12C, suggest that HEX-P will be capable of detecting an exponential cut-off at E_c ≤ 70 keV with 50-ks exposure, and even a milder cut-off (e.g., a smaller exponential index) can be detectable with HEX-P. Moreover, the more accurate spectral measurements and identification of spectral features at different orbital phases can contribute to distinguishing between various emission components in TGBs, such as the IBS vs. preshock emission (e.g., Kim et al., 2022).

FIGURE 12

FIGURE 12. Results of simulations for 50-ks HEX-P observations of PSR B1259−63 at a disk-crossing phase. Simulated HEX-P spectra with a cutoff at 60 keV, along with the best-fit cut-off power-law and simple power-law models, are displayed in the (A,B). The residuals in the bottom show that the spectral cutoff at 60 keV is clearly detectable by HEX-P. F-test probabilities for detecting an exponential cutoff for a range of E_cut values are presented in the (C) where the red horizontal line marks p = 10^–3.

Furthermore, HEX-P offers opportunities for other interesting studies. Since TGBs belong to a rare and intriguing class of Galactic TeV sources, dedicated multi-wavelength investigations for all known systems ($\sim 10$ TGBs) have been performed with a number of X-ray, GeV, and TeV observations (e.g., Takahashi et al., 2009; Ackermann et al., 2012; Adams et al., 2021). These studies uncovered diverse physical phenomena, including strong orbit-to-orbit variability (e.g., Tokayer et al., 2021), correlations between Γ_X and F_X (e.g., Bosch-Ramon et al., 2005; An et al., 2013), variable N_H (e.g., Malyshev et al., 2019; Tokayer et al., 2021), and X-ray flares in certain sources (e.g., Chernyakova et al., 2015). These findings highlight the complicated interactions between the particle flow, the companion’s wind, disk (e.g., Kefala and Bosch-Ramon, 2023), and particle evolution in the IBS. The hard X-ray data from NuSTAR have added important insights into TGBs, e.g., possible magnetar-like X-ray pulsations in LS 5039 (Yoneda et al., 2020) (although claimed to be spurious later; see Volkov et al., 2021) and the extension of simple power-law emission to 20–30 keV (e.g., An et al., 2015; Tokayer et al., 2021) suggesting that particle cooling is not severe. Although these previous X-ray and gamma-ray studies revealed the complex emission mechanisms of the TGBs (e.g., Dubus et al., 2015), our understanding of the diverse phenomena specific to TGBs remains incomplete. More precise characterization of X-ray spectral variability (Γ_X, F_X, and N_H), achievable by HEX-P, thanks to its contemporaneous observations in the broad 0.2–80 keV band enabled by LET + HET, will help in discerning variabilities caused by the injection and cooling of relativistic particles and their interactions with the environment.

The future prospects for TGB science are promising with the advent of CTAO and HEX-P. CTAO is expected to discover more TGBs (Dubus et al., 2017) and measure the TeV spectral variations of known TGBs on timescales as short as $\sim 30$ min (Chernyakova et al., 2019). A larger sample size of TGBs will expand the parameter space and facilitate a deeper understanding of their diverse nature. Dedicated observation programs with HEX-P and CTAO will by far surpass the current studies involving NuSTAR, VERITAS, and H.E.S.S. Overall, HEX-P is poised to make significant contributions to TGB astrophysics, enhancing our knowledge of these enigmatic binary systems and elucidating their complex emission mechanisms associated with relativistic shocks and jets in TGBs.

9 Conclusion

As our simulations demonstrate, HEX-P is poised to revolutionize X-ray views of Galactic particle accelerators, unraveling the origin of CRs up to the knee and beyond. Along with CTAO, HEX-P will play a crucial role in identifying numerous PeVatron candidates and their acceleration mechanisms. An extensive HEX-P survey of various types and stages of the particle accelerators associated with known SNRs, PWNe, star clusters, binaries, and BHs, will provide a broad picture of how particle acceleration, propagation, and cooling operate in different sources and environments. Finally, HEX-P will foster multi-messenger observation programs with other future missions such as CTAO, IceCube gen2, and COSI (see Table 2 for potential HEX-P survey programs). HEX-P clearly stands out as the foremost X-ray observatory for particle acceleration astrophysics in the 2030s.

TABLE 2

TABLE 2. Potential HEX-P survey programs.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

KM: Writing–original draft, Writing–review and editing. SR: Writing–original draft, Writing–review and editing. HA: Writing–original draft, Writing–review and editing. AB: Writing–original draft, Writing–review and editing. RK: Writing–original draft, Writing–review and editing. NT: Writing–original draft, Writing–review and editing. MA: Writing–review and editing. JA: Writing–review and editing. PB: Writing–review and editing. SC: Writing–review and editing. RD: Writing–review and editing. JE: Writing–review and editing. CF: Writing–review and editing. SG: Writing–review and editing. JoG: Writing–review and editing. BG: Writing–review and editing. JaG: Writing–review and editing. CK: Writing–review and editing. SK: Writing–review and editing. EK: Writing–review and editing. BM: Writing–review and editing. KM: Writing–review and editing. SM: Writing–review and editing. YM: Writing–review and editing. HO: Writing–review and editing. BO: Writing–review and editing. JP: Writing–review and editing. GP: Writing–review and editing. TS: Writing–review and editing. R-YS: Writing–review and editing. DS: Writing–review and editing. YT: Writing–review and editing. JW: Writing–review and editing. GY: Writing–review and editing. AZ: Writing–review and editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was financially supported by Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (KAKENHI) Grant Numbers, JP23H01211 (AB), 22K14064 (NT), 20K04009 (YT).

Acknowledgments

We are grateful to J. Wilms, T. Dauser, C. Kirsch, M. Lorenz, L. Dauner, and the SIXTE development team for their assistance with SIXTE simulations. HA acknowledges support from the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIT) (NRF-2023R1A2C1002718). In Section 7 (SS 433/W50 lobes), we thank Takahiro Sudoh and Kazuho Kayama for providing their results and Samar Safi-Harb for the image. We thank Ke Fang, Lu Lu, and Kelly Malone for their helpful discussion.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abdalla, H., Aharonian, F., Ait Benkhali, F., Angüner, E. O., Arcaro, C., Armand, C., et al. (2021). Evidence of 100 TeV γ-ray emission from HESS J1702-420: a new PeVatron candidate. A&A 653, A152. doi:10.1051/0004-6361/202140962

CrossRef Full Text | Google Scholar

Abdo, A. A., Ackermann, M., Ajello, M., Anderson, B., Atwood, W. B., Axelsson, M., et al. (2009). Detection of 16 gamma-ray pulsars through blind frequency searches using the Fermi LAT. Science 325, 840. doi:10.1126/science.1175558

PubMed Abstract | CrossRef Full Text | Google Scholar

Abeysekara, A. U., Albert, A., Alfaro, R., Angeles Camacho, J. R., Arteaga-Velázquez, J. C., Arunbabu, K. P., et al. (2020). Multiple galactic sources with emission above 56 TeV detected by HAWC. PRL 124, 021102. doi:10.1103/PhysRevLett.124.021102

PubMed Abstract | CrossRef Full Text | Google Scholar

Ackermann, M., Ajello, M., Ballet, J., Barbiellini, G., Bastieri, D., Belfiore, A., et al. (2012). Periodic emission from the gamma-ray binary 1FGL j1018.6-5856. Science 335, 189. doi:10.1126/science.1213974

PubMed Abstract | CrossRef Full Text | Google Scholar

Adamo, A., Zeidler, P., Kruijssen, J. M. D., Chevance, M., Gieles, M., Calzetti, D., et al. (2020). Star clusters near and far; tracing star formation across cosmic time. SSRv 216, 69. doi:10.1007/s11214-020-00690-x

CrossRef Full Text | Google Scholar

Adams, C. B., Benbow, W., Brill, A., Buckley, J. H., Capasso, M., Chromey, A. J., et al. (2021). Observation of the gamma-ray binary HESS J0632+057 with the H.E.S.S., MAGIC, and VERITAS telescopes. ApJ 923, 241. doi:10.3847/1538-4357/ac29b7

CrossRef Full Text | Google Scholar

Aharonian, F., An, Q., Axikegu, L. X., BaiBai, Y. X., Bao, Y. W., Bastieri, D., et al. (2021). Extended very-high-energy gamma-ray emission surrounding PSR J 0622 +3749 observed by LHAASO-km2a. PhRvL 126, 241103. doi:10.1103/PhysRevLett.126.241103

CrossRef Full Text | Google Scholar

Aharonian, F., Yang, R., and de Oña Wilhelmi, E. (2019). Massive stars as major factories of Galactic cosmic rays. Nat. Astron. 3, 561–567. doi:10.1038/s41550-019-0724-0

CrossRef Full Text | Google Scholar

Aharonian, F. A., and Atoyan, A. M. (1999). On the origin of TeV radiation of SN 1006. A&A 351, 330–340. doi:10.48550/arXiv.astro-ph/9911158

CrossRef Full Text | Google Scholar

Aliu, E., Archambault, S., Aune, T., Behera, B., Beilicke, M., Benbow, W., et al. (2014). Long-term TeV and X-ray observations of the gamma-ray binary HESS J0632+057. ApJ 780, 168. doi:10.1088/0004-637X/780/2/168

CrossRef Full Text | Google Scholar

Amato, E., Guetta, D., and Blasi, P. (2003). Signatures of high energy protons in pulsar winds. A&A 402, 827–836. doi:10.1051/0004-6361:20030279

CrossRef Full Text | Google Scholar

Amato, E., and Olmi, B. (2021). The crab pulsar and nebula as seen in gamma-rays. Universe 7, 448. doi:10.3390/universe7110448

CrossRef Full Text | Google Scholar

Amenomori, M., Bao, Y. W., Bi, X. J., Chen, D., Chen, T. L., and Chen, H. (2021). Gamma-ray observation of the Cygnus region in the 100-TeV energy region. PhRvL 127, 031102. doi:10.1103/PhysRevLett.127.031102

PubMed Abstract | CrossRef Full Text | Google Scholar

An, H., Bellm, E., Bhalerao, V., Boggs, S. E., Christensen, F. E., Craig, W. W., et al. (2015). Broadband X-ray properties of the gamma-ray binary 1FGL j1018.6-5856. ApJ 806, 166. doi:10.1088/0004-637X/806/2/166

CrossRef Full Text | Google Scholar

An, H., Dufour, F., Kaspi, V. M., and Harrison, F. A. (2013). Swift observations of 1FGL j1018.6-5856. ApJ 775, 135. doi:10.1088/0004-637X/775/2/135

CrossRef Full Text | Google Scholar

An, H., and Romani, R. W. (2017). Light curve and SED modeling of the gamma-ray binary 1FGL j1018.6-5856: constraints on the orbital geometry and relativistic flow. ApJ 838, 145. doi:10.3847/1538-4357/aa6623

CrossRef Full Text | Google Scholar

Araudo, A. T., Bell, A. R., and Blundell, K. M. (2015). Particle acceleration and magnetic field amplification in the jets of 4C74.26. Astrophysical J. 806, 243. doi:10.1088/0004-637X/806/2/243

CrossRef Full Text | Google Scholar

Arnaud, K. A. (1996). “XSPEC: the first ten years,” in Astronomical data analysis software and systems V of astronomical society of the pacific conference series. Editors G. H. Jacoby, and J. Barnes (USA: IEEE), 17.

Google Scholar

Atoyan, A. M., and Aharonian, F. A. (1996). On the mechanisms of gamma radiation in the Crab Nebula. MNRAS 278, 525–541. doi:10.1093/mnras/278.2.525

CrossRef Full Text | Google Scholar

Bamba, A., Ueno, M., Nakajima, H., and Koyama, K. (2004). Thermal and nonthermal X-rays from the large magellanic cloud superbubble 30 doradus C. ApJ 602, 257–263. doi:10.1086/380957

CrossRef Full Text | Google Scholar

Blasi, P. (2013). The origin of galactic cosmic rays. AAPR 21, 70. doi:10.1007/s00159-013-0070-7

CrossRef Full Text | Google Scholar

Borghese, A., Rea, N., Turolla, R., Pons, J. A., Esposito, P., Coti Zelati, F., et al. (2019). The multi-outburst activity of the magnetar in Westerlund I. MNRAS 484, 2931–2943. doi:10.1093/mnras/stz084

CrossRef Full Text | Google Scholar

Bosch-Ramon, V., Paredes, J. M., Ribó, M., Miller, J. M., Reig, P., and Martí, J. (2005). Orbital X-ray variability of the microquasar LS 5039. ApJ 628, 388–394. doi:10.1086/429901

CrossRef Full Text | Google Scholar

Brinkmann, W., Pratt, G. W., Rohr, S., Kawai, N., and Burwitz, V. (2007). XMM-Newton observations of the eastern jet of SS 433. Astronomy Astrophysics 463, 611–619. doi:10.1051/0004-6361:20065570

CrossRef Full Text | Google Scholar

Bykov, A. M. (2001). Particle acceleration and nonthermal phenomena in superbubbles. SSRv 99, 317–326. doi:10.1023/A:1013817721725

CrossRef Full Text | Google Scholar

Bykov, A. M. (2006). “High-energy radiation generated by winds and shocks: SNRs and superbubbles,” in Populations of high energy sources in galaxies. Editors E. J. A. Meurs, and G. Fabbiano (USA: IEEE), 230, 111–119. doi:10.1017/S1743921306008039

CrossRef Full Text | Google Scholar

Bykov, A. M. (2014). Nonthermal particles and photons in starburst regions and superbubbles. AAPR 22, 77. doi:10.1007/s00159-014-0077-8

CrossRef Full Text | Google Scholar

Bykov, A. M., Uvarov, Y. A., Kalyashova, M. E., Badmaev, D. V., Lapshov, I. Y., Lutovinov, A. A., et al. (2023). X-ray emission from Westerlund 2 detected by SRG/ART-XC and Chandra: search for radiation of TeV leptons. MNRAS 525, 1553–1561. doi:10.1093/mnras/stad2356

CrossRef Full Text | Google Scholar

Cao, Z., Aharonian, F., An, Q., AxikeguBai, L. X., Bai, Y. X., et al. (2021a). Discovery of a new gamma-ray source, LHAASO J0341+5258, with emission up to 200 TeV. ApJL 917, L4. doi:10.3847/2041-8213/ac0fd5

CrossRef Full Text | Google Scholar

Cao, Z., Aharonian, F., An, Q., AxikeguBai, Y. X., Bao, Y. W., et al. (2023a). The first LHAASO catalog of gamma-ray sources.

Google Scholar

Cao, Z., Aharonian, F. A., An, Q., Axikegu, L. X., BaiBai, Y. X., Bao, Y. W., et al. (2021b). Ultrahigh-energy photons up to 1.4 petaelectronvolts from 12 γ-ray Galactic sources. Nature 594, 33–36. doi:10.1038/s41586-021-03498-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Celli, S., Aharonian, F., and Gabici, S. (2020). Spectral signatures of PeVatrons. ApJ 903, 61. doi:10.3847/1538-4357/abb805

CrossRef Full Text | Google Scholar

Cherenkov Telescope Array Consortium Acharya, B. S., Agudo, I., Al Samarai, I., Alfaro, R., Alfaro, J., et al. (2019). Science with the Cherenkov telescope array. doi:10.1142/10986

CrossRef Full Text | Google Scholar

Chernyakova, M., Malyshev, D., Paizis, A., La Palombara, N., Balbo, M., Walter, R., et al. (2019). Overview of non-transient γ-ray binaries and prospects for the Cherenkov telescope array. A&A 631, A177. doi:10.1051/0004-6361/201936501

CrossRef Full Text | Google Scholar

Chernyakova, M., Neronov, A., van Soelen, B., Callanan, P., O’Shaughnessy, L., Babyk, I., et al. (2015). Multi-wavelength observations of the binary system PSR B1259-63/LS 2883 around the 2014 periastron passage. MNRAS 454, 1358–1370. doi:10.1093/mnras/stv1988

CrossRef Full Text | Google Scholar

Cholis, I., and Krommydas, I. (2022). Utilizing cosmic-ray positron and electron observations to probe the averaged properties of Milky Way pulsars. PhRvD 105, 023015. doi:10.1103/PhysRevD.105.023015

CrossRef Full Text | Google Scholar

Clark, J. S., Negueruela, I., Crowther, P. A., and Goodwin, S. P. (2005). On the massive stellar population of the super star cluster <ASTROBJ>Westerlund 1</ASTROBJ&gt. A&A 434, 949–969. doi:10.1051/0004-6361:20042413

CrossRef Full Text | Google Scholar

Clavel, M., Soldi, S., Terrier, R., Tatischeff, V., Maurin, G., Ponti, G., et al. (2014). Variation of the X-ray non-thermal emission in the Arches cloud. MNRAS 443, L129–L133. doi:10.1093/mnrasl/slu100

CrossRef Full Text | Google Scholar

Coerver, A., Wilcox, P., Zhang, H., Dingus, B. L., Gotthelf, E. V., Hailey, C. J., et al. (2019). Multiwavelength investigation of pulsar wind nebula DA 495 with HAWC, VERITAS, and NuSTAR. ApJ 878, 126. doi:10.3847/1538-4357/ab21d0

CrossRef Full Text | Google Scholar

Corbet, R. H. D., Chomiuk, L., Coe, M. J., Coley, J. B., Dubus, G., Edwards, P. G., et al. (2016). A luminous gamma-ray binary in the large magellanic cloud. ApJ 829, 105. doi:10.3847/0004-637X/829/2/105

CrossRef Full Text | Google Scholar

Cristofari, P. (2021). The hunt for pevatrons: the case of supernova remnants. Universe 7, 324. doi:10.3390/universe7090324

CrossRef Full Text | Google Scholar

Dauser, T., Falkner, S., Lorenz, M., Kirsch, C., Peille, P., Cucchetti, E., et al. (2019). SIXTE: a generic X-ray instrument simulation toolkit. A&A 630, A66. doi:10.1051/0004-6361/201935978

CrossRef Full Text | Google Scholar

Drissen, L., Moffat, A. F. J., Walborn, N. R., and Shara, M. M. (1995). The dense galactic starburst NGC 3603. I. HST/FOS spectroscopy of individual stars in the core and the source of ionization and kinetic energy. AJ 110, 2235. doi:10.1086/117684

CrossRef Full Text | Google Scholar

Dubner, G. M., Holdaway, M., Goss, W. M., and Mirabel, I. F. (1998). A high-resolution radio study of the W50-SS 433 system and the surrounding medium. AJ 116, 1842–1855. doi:10.1086/300537

CrossRef Full Text | Google Scholar

Dubus, G. (2013). Gamma-ray binaries and related systems. AAPR 21, 64. doi:10.1007/s00159-013-0064-5

CrossRef Full Text | Google Scholar

Dubus, G., Guillard, N., Petrucci, P.-O., and Martin, P. (2017). Sizing up the population of gamma-ray binaries. A&A 608, A59. doi:10.1051/0004-6361/201731084

CrossRef Full Text | Google Scholar

Dubus, G., Lamberts, A., and Fromang, S. (2015). Modelling the high-energy emission from gamma-ray binaries using numerical relativistic hydrodynamics. A&A 581, A27. doi:10.1051/0004-6361/201425394

CrossRef Full Text | Google Scholar

Eraerds, T., Antonelli, V., Davis, C., Hall, D., Hetherington, O., Holland, A., et al. (2021). Enhanced simulations on the athena/wide field imager instrumental background. J. Astronomical Telesc. Instrum. Syst. 7, 034001. doi:10.1117/1.JATIS.7.3.034001

CrossRef Full Text | Google Scholar

Figer, D. F., McLean, I. S., and Morris, M. (1999). Massive stars in the quintuplet cluster. ApJ 514, 202–220. doi:10.1086/306931

CrossRef Full Text | Google Scholar

Figer, D. F., Najarro, F., Gilmore, D., Morris, M., Kim, S. S., Serabyn, E., et al. (2002). Massive stars in the Arches cluster. ApJ 581, 258–275. doi:10.1086/344154

CrossRef Full Text | Google Scholar

Gabici, S. (2023). Star clusters as cosmic ray accelerators.

Google Scholar

Guépin, C., Cerutti, B., and Kotera, K. (2020). Proton acceleration in pulsar magnetospheres. A&A 635, A138. doi:10.1051/0004-6361/201936816

CrossRef Full Text | Google Scholar

Hamaguchi, K., Corcoran, M. F., Pittard, J. M., Sharma, N., Takahashi, H., Russell, C. M. P., et al. (2018). Non-thermal X-rays from colliding wind shock acceleration in the massive binary Eta Carinae. Nat. Astron. 2, 731–736. doi:10.1038/s41550-018-0505-1

CrossRef Full Text | Google Scholar

Harrison, F. A., Craig, W. W., Christensen, F. E., Hailey, C. J., Zhang, W. W., Boggs, S. E., et al. (2013). The nuclear spectroscopic telescope array (NuSTAR) high-energy X-ray mission. ApJ 770, 103. doi:10.1088/0004-637X/770/2/103

CrossRef Full Text | Google Scholar

HAWC Collaboration Abeysekara, A. U., Albert, A., and Alfaro, R. (2020). Multiple galactic sources with emission above 56 TeV detected by HAWC. PhRvL 124, 021102. doi:10.1103/PhysRevLett.124.021102

PubMed Abstract | CrossRef Full Text | Google Scholar

Heintz, E., and Zweibel, E. G. (2022). Galaxies at a cosmic ray eddington limit. ApJ 941, 78. doi:10.3847/1538-4357/ac9e9e

CrossRef Full Text | Google Scholar

HESS Collaboration Abramowski, A., Aharonian, F., and Benkhali, F. A. (2016). Acceleration of petaelectronvolt protons in the galactic centre. Nature 531, 476–479. doi:10.1038/nature17147

PubMed Abstract | CrossRef Full Text | Google Scholar

Hinton, J.SWGO Collaboration (2022). The southern wide-field gamma-ray observatory: status and prospects. 37th Int. Cosm. Ray Conf. 23. doi:10.22323/1.395.0023

CrossRef Full Text | Google Scholar

IceCube Collaboration Abbasi, R., Ackermann, M., Adams, J., Aguilar, J. A., Ahlers, M., et al. (2023). Observation of high-energy neutrinos from the galactic plane. Science 380, 1338–1343. doi:10.1126/science.adc9818

PubMed Abstract | CrossRef Full Text | Google Scholar

Inoue, Y., and Tanaka, Y. T. (2016). Baryon loading erriciency and particle acceleration erriciency of relativistic jets: cases for low luminosity bl lacs. Astrophysical J. 828, 13. doi:10.3847/0004-637X/828/1/13

CrossRef Full Text | Google Scholar

Jansen, F., Lumb, D., Altieri, B., Clavel, J., Ehle, M., Erd, C., et al. (2001). XMM-Newton observatory. I. The spacecraft and operations. A&A 365, L1–L6. doi:10.1051/0004-6361:20000036

CrossRef Full Text | Google Scholar

Johnston, S., Manchester, R. N., Lyne, A. G., Bailes, M., Kaspi, V. M., Qiao, G., et al. (1992). PSR 1259-63: a binary radio pulsar with a Be star companion. ApJL 387, L37. doi:10.1086/186300

CrossRef Full Text | Google Scholar

Kantzas, D., Markoff, S., Lucchini, M., Ceccobello, C., Grinberg, V., Connors, R. M. T., et al. (2022). The prototype X-ray binary GX 339-4: using TeV γ-rays to assess LMXBs as Galactic cosmic ray accelerators. MNRAS 510, 5187–5198. doi:10.1093/mnras/stac004

CrossRef Full Text | Google Scholar

Kargaltsev, O., Rangelov, B., and Pavlov, G. G. (2013). Gamma-ray and X-ray properties of pulsar wind nebulae and unidentified galactic TeV sources.

Google Scholar

Kavanagh, P. J., Sasaki, M., Bozzetto, L. M., Filipović, M. D., Points, S. D., Maggi, P., et al. (2015). XMM-Newton study of 30 doradus C and a newly identified MCSNR j0536-6913 in the large magellanic cloud. A&A 573, A73. doi:10.1051/0004-6361/201424354

CrossRef Full Text | Google Scholar

Kayama, K., Tanaka, T., Uchida, H., Tsuru, T. G., Sudoh, T., Inoue, Y., et al. (2022). Spatially resolved study of the SS 433/W 50 west region with Chandra: X-ray structure and spectral variation of non-thermal emission. Publ. Astronomical Soc. Jpn. 74, 1143–1156. doi:10.1093/pasj/psac060

CrossRef Full Text | Google Scholar

Kefala, E., and Bosch-Ramon, V. (2023). Modeling the effects of clumpy winds in the high-energy light curves of γ-ray binaries. A&A 669, A21. doi:10.1051/0004-6361/202244531

CrossRef Full Text | Google Scholar

Kelner, S. R., Aharonian, F. A., and Bugayov, V. V. (2006). Energy spectra of gamma rays, electrons, and neutrinos produced at proton-proton interactions in the very high energy regime. PhRvD 74, 034018. doi:10.1103/PhysRevD.74.034018

CrossRef Full Text | Google Scholar

Kim, J., An, H., and Mori, K. (2022). Investigation of the broadband emission of the gamma-ray binary HESS J0632+057 using an intrabinary shock model. ApJ 936, 32. doi:10.3847/1538-4357/ac8663

CrossRef Full Text | Google Scholar

Kimura, S. S., Murase, K., and Mészáros, P. (2020a). Deciphering the origin of the GeV–TeV gamma-ray emission from SS 433. ApJ 904, 188. doi:10.3847/1538-4357/abbe00

CrossRef Full Text | Google Scholar

Kimura, S. S., Murase, K., and Mészáros, P. (2020b). Deciphering the origin of the GeV–TeV gamma-ray emission from SS 433. Astrophysical J. 904, 188. doi:10.3847/1538-4357/abbe00

CrossRef Full Text | Google Scholar

Krivonos, R. A., Tomsick, J. A., Bauer, F. E., Baganoff, F. K., Barriere, N. M., Bodaghee, A., et al. (2014). First hard X-ray detection of the non-thermal emission around the Arches cluster: morphology and spectral studies with NuSTAR. ApJ 781, 107. doi:10.1088/0004-637X/781/2/107

CrossRef Full Text | Google Scholar

Krivonos, R. A., Tsygankov, S. S., Mereminskiy, I. A., Lutovinov, A. A., Sazonov, S. Y., and Sunyaev, R. A. (2017). New hard X-ray sources discovered in the ongoing INTEGRAL Galactic plane survey after 14 yr of observations. MNRAS 470, 512–516. doi:10.1093/mnras/stx1276

CrossRef Full Text | Google Scholar

Krumholz, M. R., McKee, C. F., and Bland-Hawthorn, J. (2019). Star clusters across cosmic time. ARA&A 57, 227–303. doi:10.1146/annurev-astro-091918-104430

CrossRef Full Text | Google Scholar

Kuznetsova, E., Krivonos, R., Clavel, M., Lutovinov, A., Chernyshov, D., Hong, J., et al. (2019). Investigating the origin of the faint non-thermal emission of the Arches cluster using the 2015-2016 NuSTAR and XMM-Newton X-ray observations. MNRAS 484, 1627–1636. doi:10.1093/mnras/stz119

CrossRef Full Text | Google Scholar

Lagage, P. O., and Cesarsky, C. J. (1983). The maximum energy of cosmic rays accelerated by supernova shocks. A&A 125, 249–257.

Google Scholar

Law, C., and Yusef-Zadeh, F. (2004). X-ray observations of stellar clusters near the galactic center. ApJ 611, 858–870. doi:10.1086/422307

CrossRef Full Text | Google Scholar

Lazendic, J. S., Slane, P. O., Gaensler, B. M., Reynolds, S. P., Plucinsky, P. P., and Hughes, J. P. (2004). A high-resolution study of nonthermal radio and X-ray emission from supernova remnant g347.3-0.5. ApJ 602, 271–285. doi:10.1086/380956

CrossRef Full Text | Google Scholar

Lopez, L. A., Grefenstette, B. W., Auchettl, K., Madsen, K. K., and Castro, D. (2020). Evidence of particle acceleration in the superbubble 30 doradus C with NuSTAR. ApJ 893, 144. doi:10.3847/1538-4357/ab8232

CrossRef Full Text | Google Scholar

López-Coto, R., de Oña Wilhelmi, E., Aharonian, F., Amato, E., and Hinton, J. (2022). Gamma-ray halos around pulsars as the key to understanding cosmic ray transport in the Galaxy.

Google Scholar

Madsen, Kristin K., García, Javier A., Stern, D., Armini, R., Basso, S., Coutinho, D., et al. (2023). The high energy x-ray probe (HEX-P): instrument and mission profile. doi:10.48550/arXiv.2312.04678

CrossRef Full Text | Google Scholar

Malyshev, D., Chernyakova, M., Santangelo, A., and Pühlhofer, G. (2019). Decade-long X-ray observations of HESS J0632+057. Astron. Nachrichten 340, 465–474. doi:10.1002/asna.201913605

CrossRef Full Text | Google Scholar

Marcote, B., Ribó, M., Paredes, J. M., and Ishwara-Chandra, C. H. (2015). Physical properties of the gamma-ray binary LS 5039 through low- and high-frequency radio observations. MNRAS 451, 59–73. doi:10.1093/mnras/stv940

CrossRef Full Text | Google Scholar

Meidinger, N., Albrecht, S., Beitler, C., Bonholzer, M., Emberger, V., Frank, J., et al. (2020). “Development status of the wide field imager instrument for athena,” in Space telescopes and instrumentation 2020: ultraviolet to gamma ray. Editors J.-W. A. den Herder, K. Nakazawa, and S. Nikzad (USA: IEEE). doi:10.1117/12.2560507

CrossRef Full Text | Google Scholar

Moldowan, A., Safi-Harb, S., Fuchs, Y., and Dubner, G. (2005). A multi-wavelength study of the western lobe of W50 powered by the galactic microquasar SS 433. Adv. Space Res. 35, 1062–1065. doi:10.1016/j.asr.2005.01.086

CrossRef Full Text | Google Scholar

Mori, K., An, H., Burgess, D., Capasso, M., Dingus, B., Gelfand, J., et al. (2021). NuSTAR broad-band X-ray observational campaign of energetic pulsar wind nebulae in synergy with VERITAS, HAWC and Fermi gamma-ray telescopes.

Google Scholar

Morlino, G., Blasi, P., Peretti, E., and Cristofari, P. (2021). Particle acceleration in winds of star clusters. MNRAS 504, 6096–6105. doi:10.1093/mnras/stab690

CrossRef Full Text | Google Scholar

Mossoux, E., Pittard, J. M., Rauw, G., and Nazé, Y. (2020). Search for non-thermal X-ray emission in the colliding wind binary Cygnus OB2 #8A. A&A 636, A109. doi:10.1051/0004-6361/201936735

CrossRef Full Text | Google Scholar

Nakamura, R., Bamba, A., Dotani, T., Ishida, M., Yamazaki, R., and Kohri, K. (2012). Evolution of synchrotron X-rays in supernova remnants. ApJ 746, 134. doi:10.1088/0004-637X/746/2/134

CrossRef Full Text | Google Scholar

Nandra, K., Barret, D., Barcons, X., Fabian, A., den Herder, J.-W., Piro, L., et al. (2013). The hot and energetic Universe: a white paper presenting the science theme motivating the Athena+ mission.

Google Scholar

Ohmura, T., Ono, K., Sakemi, H., Tashima, Y., Omae, R., and Machida, M. (2021). Continuous jets and backflow models for the Formation of W50/SS 433 in magnetohydrodynamics simulations. Astrophysical J. 910, 149. doi:10.3847/1538-4357/abe5a1

CrossRef Full Text | Google Scholar

Pfalzner, S. (2009). Universality of young cluster sequences. A&A 498, L37–L40. doi:10.1051/0004-6361/200912056

CrossRef Full Text | Google Scholar

Pittard, J. M., Vila, G. S., and Romero, G. E. (2020). Colliding-wind binary systems: diffusive shock acceleration and non-thermal emission. MNRAS 495, 2205–2221. doi:10.1093/mnras/staa1099

CrossRef Full Text | Google Scholar

Reynolds, S., An, H., Abdelmaguid, M., Alford, J., Fryer, C., Mori, K., et al. (2023). High-energy astrophysics research enabled by the probe-class mission concept HEX-P. Front. Astron. Space Sci. 10. doi:10.3389/fspas.2023.1321278

CrossRef Full Text | Google Scholar

Safi-Harb, S., Mac Intyre, B., Zhang, S., Pope, I., Zhang, S., Saffold, N., et al. (2022a). Hard X-ray emission from the eastern jet of SS 433 powering the W50 “Manatee” nebula: evidence for particle re-acceleration

Google Scholar

Safi-Harb, S., Mac Intyre, B., Zhang, S., Pope, I., Zhang, S., Saffold, N., et al. (2022b). Hard X-ray emission from the eastern jet of SS 433 powering the W50 “manatee” nebula: evidence for particle reacceleration. ApJ 935, 163. doi:10.3847/1538-4357/ac7c05

CrossRef Full Text | Google Scholar

Safi-Harb, S., and Ögelman, H. (1997). ROSAT and ASCA observations of W50 associated with the peculiar source SS 433. Astrophysical J. 483, 868. doi:10.1086/304274

CrossRef Full Text | Google Scholar

Safi-Harb, S., and Petre, R. (1999). Rossi X-ray timing explorer observations of the eastern lobe of W50 associated with SS 433. Astrophysical J. 512, 784. doi:10.1086/306803

CrossRef Full Text | Google Scholar

Sakemi, H., Omae, R., Ohmura, T., and Machida, M. (2021). Energy estimation of high-energy particles associated with the SS 433/W 50 system through radio observation at 1.4 GHz. Publ. Astronomical Soc. Jpn. 73, 530–544. doi:10.1093/pasj/psab018

CrossRef Full Text | Google Scholar

S. S. Collaboration Abramowski, A., Aharonian, F., Ait Benkhali, F., Akhperjanian, A. G., Angüner, E. O., et al. (2015). The exceptionally powerful TeV γ-ray emitters in the Large Magellanic Cloud. Science 347, 406–412. doi:10.1126/science.1261313

PubMed Abstract | CrossRef Full Text | Google Scholar

S. S. Collaboration Abdalla, H., Adam, R., Aharonian, F., Ait Benkhali, F., Angüner, E. O., et al. (2020). An extreme particle accelerator in the Galactic plane: HESS J1826-130. A&A 644, A112. doi:10.1051/0004-6361/202038851

CrossRef Full Text | Google Scholar

Sudoh, T., Inoue, Y., and Khangulyan, D. (2020). Multiwavelength emission from galactic jets: the case of the microquasar SS433. ApJ 889, 146. doi:10.3847/1538-4357/ab6442

CrossRef Full Text | Google Scholar

Takahashi, T., Kishishita, T., Uchiyama, Y., Tanaka, T., Yamaoka, K., Khangulyan, D., et al. (2009). Study of the spectral and temporal characteristics of X-ray emission of the gamma-ray binary LS 5039 with Suzaku. ApJ 697, 592–600. doi:10.1088/0004-637X/697/1/592

CrossRef Full Text | Google Scholar

Tatischeff, V., Decourchelle, A., and Maurin, G. (2012). Nonthermal X-rays from low-energy cosmic rays: application to the 6.4 keV line emission from the Arches cluster region. A&A 546, A88. doi:10.1051/0004-6361/201219016

CrossRef Full Text | Google Scholar

Tokayer, Y. M., An, H., Halpern, J. P., Kim, J., Mori, K., and Hailey, C. J. e. a. (2021). Multiwavelength observation campaign of the TeV gamma-ray binary HESS J0632 + 057 with NuSTAR, VERITAS, MDM, and Swift. ApJ 923, 17. doi:10.3847/1538-4357/ac2c6a

CrossRef Full Text | Google Scholar

Tsuji, N., Uchiyama, Y., Khangulyan, D., and Aharonian, F. (2021). Systematic study of acceleration efficiency in young supernova remnants with nonthermal X-ray observations. Astrophysical J. 907, 117. doi:10.3847/1538-4357/abce65

CrossRef Full Text | Google Scholar

Vieu, T., Gabici, S., Tatischeff, V., and Ravikularaman, S. (2022). Cosmic ray production in superbubbles. MNRAS 512, 1275–1293. doi:10.1093/mnras/stac543

CrossRef Full Text | Google Scholar

Volkov, I., Kargaltsev, O., Younes, G., Hare, J., and Pavlov, G. (2021). NuSTAR observation of LS 5039. ApJ 915, 61. doi:10.3847/1538-4357/abfe0e

CrossRef Full Text | Google Scholar

Wang, Q. D., Lu, F. J., and Gotthelf, E. V. (2006). G359.95-0.04: an energetic pulsar candidate near Sgr A. Mon. Notices R. Astronomical Soc. 367, 937–944. doi:10.1111/j.1365-2966.2006.09998.x

CrossRef Full Text | Google Scholar

Weng, S.-S., Qian, L., Wang, B.-J., Torres, D. F., Papitto, A., Jiang, P., et al. (2022). Radio pulsations from a neutron star within the gamma-ray binary LS I +61° 303. Nat. Astron. doi:10.1038/s41550-022-01630-1

CrossRef Full Text | Google Scholar

Whitmore, B. C. (2000). The Formation of star clusters.

Google Scholar

Yamaguchi, H., Sawada, M., and Bamba, A. (2010). Searching for diffuse nonthermal X-rays from the superbubbles N11 and N51D in the large magellanic cloud. ApJ 715, 412–420. doi:10.1088/0004-637X/715/1/412

CrossRef Full Text | Google Scholar

Yamamoto, H., Okamoto, R., Murata, Y., Nakanishi, H., Imai, H., and Kurahara, K. (2022). Physical properties of the molecular cloud, N4, in SS433; Evidence for an interaction of molecular cloud with the jet from SS433

CrossRef Full Text | Google Scholar

Yang, R.-z., Aharonian, F., and de Oña Wilhelmi, E. (2019). Massive star clusters as the an alternative source population of galactic cosmic rays. Rendiconti Lincei. Sci. Fis. Nat. 30, 159–164. doi:10.1007/s12210-019-00819-3

CrossRef Full Text | Google Scholar

Yoneda, H., Makishima, K., Enoto, T., Khangulyan, D., Matsumoto, T., and Takahashi, T. (2020). Sign of hard-X-ray pulsation from the γ -ray binary system LS 5039. PhRvL 125, 111103. doi:10.1103/PhysRevLett.125.111103

PubMed Abstract | CrossRef Full Text | Google Scholar

Zabalza, V. (2015). naima: a python package for inference of relativistic particle energy distributions from observed nonthermal spectra. Proc. Int. Cosmic Ray Conf. 2015, 922. doi:10.22323/1.236.0922

CrossRef Full Text | Google Scholar

Zeidler, P., Sabbi, E., Nota, A., Grebel, E. K., Tosi, M., Bonanos, A. Z., et al. (2015). A high-resolution multiband survey of Westerlund 2 with the hubble space telescope. I. Is the massive star cluster double? AJ 150, 78. doi:10.1088/0004-6256/150/3/78

CrossRef Full Text | Google Scholar