-
The number of the particles of type i per unit energy E per unit volume per unit time injected at position x and time t via annihilation of the self-conjugated DM particles writes
$ Q_i({\bf{x}},t,E) = \frac{\langle \sigma v\rangle}{2}\frac{\rho_{\rm{DM}}^2({\bf{x}},t)}{m_{\rm{DM}}^2} \frac{{\rm{d}}N_i(E)}{{\rm{d}}E}\:.$
(1) For the decaying DM particles with lifetime
$ \tau_{\rm{DM}} = \Gamma_{\rm{DM}}^{-1} $ , the number of injected particles writes$ Q_i({\bf{x}},t, E) = \frac{\rho_{\rm{DM}}({\bf{x}},t)}{\tau_{\rm{DM}}\,m_{\rm{DM}}}\frac{{\rm{d}}N_i(E)}{{\rm{d}}E}. $
(2) In general, knowing the signal at the emission point is not enough, since we need the flux detectable at the Earth. For charged particles, one key difficulty is that they do not retain directionality due to deflections in interstellar magnetic fields: CR trajectories are similar to random-walks typically described via a diffusion-loss equation. Although we will not cover this channel in detail, note that it is of some interest for LHAASO as well, since at very least energetic
$ e^\pm $ final states are responsible for secondary gamma-rays, notably via Inverse-Compton up-scattering of background photons, i.e. galactic radiation fields and the ubiquitous CMB.Even limiting oneself to prompt photons, it is important to notice that absorption is significant at LHAASO energies. In particular, LHAASO will be the first experiment to be sensitive to gamma-ray absorption even for Galactic sources. If we define the optical depth to photon-photon pair production τ, the differential flux (number of particles per unit time, energy, surface, and solid angle) writes as an integral of the above term Q along the line of sight (below, b and l indicate latitude and longitude in Galactic coordinates, respectively)
$\frac{{\rm{d}} \Phi_{i}}{{\rm{d}}E}(E,b,l) = \frac{1}{4\pi} \int_0^\infty Q_i({\bf{x}},t, E)\, {\rm e}^{-\tau(E,s,b,l)}\; {\rm{d}}s.$
(3) For a spherically symmetric DM distribution (as typically assumed for the halo of our Galaxy) one has
$ \rho_{\rm{DM}}(s,b,l) = \rho_{\rm{DM}}[r(s,b,l)] $ where$ \begin{array} {l} r(s,b,l) = \sqrt{s^2+R^2_\odot-2 s R_\odot \cos b\cos l}\,, \end{array} $
(4) and
$ R_{\odot} = 8.249\pm0.045_{\rm{syst}}\pm0.009_{\rm{stat}}\, $ kpc [54] is the distance of the Sun from the Galactic Center. A benchmark density profile is the Navarro-Frenk-White (NFW) density profile$ \rho_{\rm DM} = \frac{\rho_0}{(r/r_0)(1+r/r_0)^2} $
(5) with typical range of the scale radius
$ 10\,{\rm{kpc}}\lesssim r_0\lesssim 20\, $ kpc and the$ \rho_0 $ corresponding to a local abundance of$ \rho_{\rm DM}(R_{\odot})\simeq0.4\, $ GeV/cm3 (for recent determinations, see e.g. [55, 56].) The profile becomes more uncertain towards the inner Galaxy. Yet, along most directions, the uncertainties on the flux for the case of decaying DM are within a factor two.The best sensitivity for indirect searches of DM is naively expected by telescopes with the largest "grasp"
$ G = A\Omega $ [53, 57–59], with A being the area and Ω the solid angle field of view. The current HAWC and, especially, the forthcoming LHAASO are the detectors with the largest grasp in the very-high-energy γ-band and are therefore well suited for the DM search. -
Dwarf spheroidal satellites (dSphs), which are large Galactic DM substructures with high DM densities, are ideal targets for detecting the gamma-ray signals induced by DM annihilation or decay. This search is almost background-free, because of the lack of gamma-rays from astrophysical processes in dSphs. Since LHAASO has strong background rejection power (~1%) and large field of view (FOV) (~ 2 sr), it is promising for LHAASO to investigate the properties of massive DM particles via the gamma-ray observations of dSphs. In this subsection, we discuss the LHAASO sensitivities to gamma signals induced by DM annihilation from dSphs, which are investigated in Ref. [60].
For DM annihilation in a point-like source, the expected gamma-ray flux in an energy bin is given by
$ \Phi_{\gamma} = \frac{1}{4\pi}\frac{\langle\sigma v\rangle}{2m_{\rm{DM}}^{2}}\int^{E_{\max}}_{E_{\min}} \int \frac{{\rm{d}}N_{\gamma}}{{\rm{d}}E}{\rm e}^{-\tau (E, s)} {\rm{d}}s \; {\rm{d}}E \times J.$
(6) For a certain annihilation channel, the initial photon spectrum
$ \dfrac{{\rm{d}}N_{\gamma}}{{\rm{d}}E} $ can be obtained using the$\tt{PPPC4DM}$ package [61, 62]. The J-factor is defined as the integral of the DM density squared along the line of sight within a solid angle of$ \Delta \Omega = 2\pi (1-\cos \alpha_{\rm{int}}) $ . Using the results of the kinematic observation of dSphs, their J-factor can be derived from Jeans analysis [63–65].19 dSphs with large J-factors are considered in the analysis. These dSphs are located in the LHAASO FOV with favored declination angles. Compared with the HAWC investigation [66], four more dSphs, namely Draco II, Leo V, Pisces II, and Willman 1, are taken into account. Notice that Refs. [67, 68] provide two sets of J-factors with different choices for the integration angle
$ \alpha_{\rm{int}} $ . One set is derived with a constant$ \alpha_{\rm{int}} = 0.5^\circ $ , while the other is derived with varying$ \alpha_{\rm{int}} = \theta_{\max} $ .$ \theta_{\max} $ is the maximum angular radius of a certain dSph and can be determined by the observation of the outermost member star. To get a large signal-to-background ratio, the J-factor of each dSph is taken to be that derived with a smaller$ \alpha_{\rm{int}} $ as$ \min\{\theta_{\max},0.5\} $ .The main backgrounds in the analysis result from the mis-identified cosmic-ray particles. The expected background number in an energy bin can be calculated as
$ B = \int^{E_{\max}}_{E_{\min}}\int_{\Delta\Omega}\int_0^T\zeta_{cr}\cdot \frac{{\rm{d}} \Phi_p}{{\rm{d}} E} \cdot A_{\rm{eff}}^{p}(E,\theta_{\rm{zen}}(t))\cdot\varepsilon_{p}(E){\rm{d}}t{\rm{d}}\Omega {\rm{d}}E, $
(7) where
$ \dfrac{{\rm{d}} \Phi_p}{{\rm{d}} E} $ is the flux of primary cosmic-ray proton and is assumed to be a single power-law, the observational time T is taken to be one year, and$ E_{\max}/E_{\min} $ is assumed to be 3. In order to include the contributions from heavier nuclei in the primary cosmic-rays, an additional factor$ \zeta_{cr} = 1.1 $ is introduced. The background number is calculated within a cone around the direction of dSph with a solid angle$ \Delta\Omega = 2\pi\times[1-\cos(\max\{\alpha_{\rm{int}}, \theta_c \})] $ , where$ \theta_c $ is the angular resolution of LHAASO. With increasing photon energy,$ \theta_c $ varies from$ 2^\circ $ to$ 0.1^\circ $ . The effective area of LHAASO$ A_{\rm{eff}}^{p} $ is taken from Ref. [69], which depends on energy and zenith angle$ \theta_{\rm{zen}}(t) $ . In order to show the visibility of dSphs, the values of$ r_{\rm{eff}} $ , which is defined as the ratio of the observation time with$ \theta_{\rm{zen}}< 60^\circ $ to total time, are listed in Table 1.Source RA. (deg) DEC. (deg) $ r_{\rm{eff}} \;{\rm{ (year)}}$ $ \theta_{\max}\;{\rm{ (deg)}}$ $ \log_{10}J_{\rm{obs}} $ ($ \text{GeV}^{2}{\rm{cm}}^{-5} $ )$ {\rm{Bo\ddot{o}tes \; I}}$ $ 210.02 $ $ 14.50 $ $ 0.352 $ $ 0.47 $ $ 18.2\pm0.4 $ Canes Venatici I $ 202.02 $ $ 33.56 $ $ 0.398 $ $ 0.53 $ $ 17.4\pm0.3 $ Canes Venatici II $ 194.29 $ $ 34.32 $ $ 0.399 $ $ 0.13 $ $ 17.6\pm0.4 $ Coma Berenices $ 186.74 $ $ 23.90 $ $ 0.377 $ $ 0.31 $ $ 19.0\pm0.4 $ Draco $ 260.05 $ $ 57.92 $ $ 0.442 $ $ 1.30 $ $ 18.8\pm0.1 $ Draco II* $ 238.20 $ $ 64.56 $ $ 0.451 $ − $ 18.1\pm2.8 $ Hercules $ 247.76 $ $ 12.79 $ $ 0.348 $ $ 0.28 $ $ 16.9\pm0.7 $ Leo I $ 152.12 $ $ 12.30 $ $ 0.346 $ $ 0.45 $ $ 17.8\pm0.2 $ Leo II $ 168.37 $ $ 22.15 $ $ 0.372 $ $ 0.23 $ $ 18.0\pm0.2 $ Leo IV $ 173.23 $ $ -0.54 $ $ 0.303 $ $ 0.16 $ $ 16.3\pm1.4 $ Leo V $ 172.79 $ $ 2.22 $ $ 0.314 $ $ 0.07 $ $ 16.4\pm0.9 $ Pisces II $ ^{\star} $ $ 344.63 $ $ 5.95 $ $ 0.327 $ $ - $ $ 16.9\pm1.6 $ Segue 1 $ 151.77 $ $ 16.08 $ $ 0.357 $ $ 0.35 $ $ 19.4\pm0.3 $ Sextans $ 153.26 $ $ -1.61 $ $ 0.299 $ $ 1.70 $ $ 17.5\pm0.2 $ Triangulum II* $ 33.32 $ $ 36.18 $ $ 0.403 $ − $ 20.9\pm1.3 $ Ursa Major I $ 158.71 $ $ 51.92 $ $ 0.432 $ $ 0.43 $ $ 17.9\pm0.5 $ Ursa Major II $ 132.87 $ $ 63.13 $ $ 0.449 $ $ 0.53 $ $ 19.4\pm0.4 $ Ursa Minor $ 227.28 $ $ 67.23 $ $ 0.455 $ $ 1.37 $ $ 18.9\pm0.2 $ Willman 1* $ 162.34 $ $ 51.05 $ $ 0.430 $ − $ 19.5\pm0.9 $ Table 1. The astrophysical properties of the 19 selected dSphs. The columns for each dSph denote the name, right ascension (RA.), declination (DEC.), effective time ratio (
$ r_{\rm{eff}} $ ), maximum angular radius (${\rm{\theta_{max}}} $ ), and the median value and standard deviation of the J-factor. The J-factor and$ {\rm{\theta_{max}}} $ of most of the dSphs are taken from Ref. [67]. The J-factors of four dSphs marked with asterisks are not provided by Ref. [67]; they are taken from Ref. [68]. From [60].Since the main backgrounds arise from cosmic-ray particles, it is crucial to improve the
$ \gamma/p $ discrimination in the analysis. Ref. [70] provides the energy-dependent quality factor$ Q\equiv\varepsilon_{\gamma}/\sqrt{\varepsilon_{p}} $ for WCDA, where$ \varepsilon_{\gamma} $ and$ \varepsilon_p $ are survival ratios of gamma-rays and primary protons, respectively. For$ \varepsilon_{\gamma}$ ~50% and$ E>0.6\,\text{TeV} $ ,$ \varepsilon_{p} $ varies within a range of 0.04%-0.11%. In Here$ \varepsilon_{p} $ is taken to be 0.278% for$ \varepsilon_{\gamma} $ ~40.13% for a conservative calculation.In order to calculate the LHAASO sensitivity, the mimic observations with only backgrounds are assumed. The event count N in each mimic observation is randomly generated around the expected background number B by Poisson sampling. The impact of the statistical uncertainty of the J-factor is also considered as Refs. [71, 72]. For one mimic observation, the likelihood is defined as
$ \begin{aligned}[b] {\cal{L}}_{j} =& \prod_{i}{\cal{L}}_{ij}(S_{ij}|B_{ij},N_{ij})\times\frac{1}{{\rm{ln}}(10)J_{{\rm{obs}},j}\sqrt{2\pi}\sigma_{j}}\\ &\times \exp{-[{\rm{log_{10}}}({\rm{J}}_{j})-{\rm{log}}_{10}({\rm{J}}_{{\rm{obs}},j})]^{2}/2\sigma_{j}^{2}}, \end{aligned} $
(8) where i and j denote the i-th energy bin and j-th dSph, respectively,
$ {\cal{L}}(S|B, N) $ is the Poisson distribution with expected signal number from DM annihilation S,${\rm{log}}_{10}(J_{{\rm obs},{\it j}}) $ is the observed mean value of the J-factor, and$ \sigma_{j} $ is the corresponding standard deviation. The value of${\rm{log}}_{10}(J_{\it j}) $ is adjusted to maximize$ {\cal{L}}_{j} $ for given$ \langle\sigma v\rangle $ and$ m_{\rm{DM}} $ . In order to derive the upper-limit on$ \langle \sigma v\rangle $ at 95% C.L., it is required that the log-likelihood including the contribution of DM annihilation with increasing$ \langle \sigma v\rangle $ decreases by 2.71/2 from its maximum. Furthermore, a combined likelihood$ {\cal{L}}^{\rm{tot}} = \prod_{j}{\cal{L}}_{j} $ can be used to derive an improved upper-limit on$ \langle \sigma v\rangle $ in the joint analysis with many dSphs. As an example, the individual sensitivity for single dSph and the combined sensitivity for all the 19 dSphs for the$ b\bar{b} $ annihilation channel from one mimic observation are shown in Figure 1.Figure 1. (color online) The expected one-year sensitivities to the DM annihilation cross section
$\left\langle {\sigma v} \right\rangle $ at 95% C.L. for the${\rm{b\bar{b}}}$ annihilation channel in one mimic observation. The solid red line represents the combined sensitivity derived in the joint analysis for the 19 selected dSphs; while other lines represent the sensitivities for single dSph. From [60].It is found that the sensitivities derived from the observations of three dSphs, namely Segue 1, Ursa Major II, and Triangulum II, are much better than other selected dSphs. Therefore, the combined sensitivity in the joint analysis is dominantly determined by these three dSphs, which have large J-factors and favorable locations in the LHAASO FOV. Note that Triangulum II has almost the largest J-factor among 19 dSphs, but the statistical uncertainty of its J-factor is also large. This is because that Triangulum is an ultra-faint dSph and the corresponding kinematic data is not sufficient. As a consequent, although Triangulum is located very close to the center of LHAASO FOV, it cannot utterly determine the combined sensitivity. This means that the uncertainty of the J-factor should be including in the analysis; otherwise, the sensitivity given by some dSphs may be overestimated.
Since the event number of very high energy photon is small, a series of mimic observations should be performed to reduce the impact of statistical fluctuation. The median values and the two-sided 68% and 95% containment bands of the combined sensitivities derived from 500 mimic observations for five typical DM annihilation channels, including
$ b\bar{b} $ ,$ t\bar{t} $ ,$ \mu^{+}\mu^{-} $ ,$ \tau^+\tau^- $ , and$ {\rm{W^+W^-}} $ , are shown in Figure 2. In order to compare with the available limits from other gamma-ray observations of dSph, the results of the HAWC combined limit [66], Fermi-LAT combined limit [73], HESS combined limit [74], VERITAS Segue 1 limit [75], and MAGIC Segue 1 limit [76] are slso shown.Figure 2. (color online) The combined one-year LHAASO sensitivities at 95% C.L. for five DM annihilation channels, including
$ {\rm b}\bar{\rm{b}} $ ,$ {\rm{t\bar{\rm{t}}}} $ ,$ \mu^{+}\mu^{-} $ ,$ \tau^+\tau^- $ , and$ {\rm{W^+W^-}} $ . The red solid lines represent the median values. The yellow and green bands represent the corresponding two-sided 68% and 95% containment bands, respectively. The HAWC combined limits [66], Fermi-LAT combined limit [73], VERITAS Segue 1 limit [75], HESS combined dSph limit [74] and MAGIC Segue 1 limit [76] are also shown for comparison. From [60].Since the initial photon spectrum of the
$ \tau^{+}\tau^{-} $ annihilation channel is hard, the sensitivity for this channel, which can reach$ \sim 10^{-24}\; {\rm{cm}}^{3}\; s^{-1} $ for$ m_{\rm{DM}}>1 $ TeV, is better than other channels. For the$ \tau^+\tau^- $ ,$ {\rm{W^+W^-}} $ , and$ b\bar{b} $ channels, the LHAASO sensitivities are better than the current limits for$ m_{\rm{DM}} $ larger than$ \sim2 \;{\rm{TeV}} $ ,$ \sim3 \;{\rm{TeV}} $ , and$ \sim8 \;{\rm{TeV}} $ , respectively. For the$ \mu^{+}\mu^{-} $ and$ t\bar{t} $ channels, LHAASO has good sensitives to explore the DM signals for from$ m_{\rm{DM}} $ in the range of$ \sim $ 1 -100 TeV.The similar analysis procedures can be applied for decaying DM. The flux of gamma-ray signals from DM decays depend on the lifetime of DM
$ \tau_{\rm {DM}} $ and the D-factor, which is the integral of the DM density along the line of sight. The sensitivities to$ \tau_{\rm {DM}} $ for five DM decay channels from the LHAASO gamma-ray observation of dSphs are investigated in Ref. [77]. 19 dSphs within the LHAASO FOV are studied in the individual and combined analyses. Two dSphs, namely Draco and Ursa Major II, would significantly affect the combined sensitivity, due to their large D-factors and suitable locations in the FOV of LHAASO. For$ m_{\rm{DM}}\sim 100 $ TeV, the LHAASO sensitivities to$ \tau_{\rm {DM}} $ can reach$ \sim 10^{-27} $ s. -
In this subsection, we focus on the gamma-ray signals from DM decays in the Galactic halo. For particles with negligible absorption, such as neutrinos, a further, quasi-isotropic contribution to the flux is due to annihilations or decays in the whole universe. This term is in general negligible for annihilating DM (unless one assumes rather extreme DM halo clumpiness), but it is definitely comparable to the Galactic term for decaying DM, and should be taken into account. In particular, this component reduces the scale of variations of the signal across the sky in the neutrino channel. For gamma-rays in the range of LHAASO, however, the extragalactic sky is fully opaque (see e.g. [78]), hence the extragalactic DM contribution is degraded in energy below the pair-production threshold on the EBL, at
$ E\lesssim 10^2-10^3, $ GeV. Still, the diffuse gamma ray background measured by Fermi-LAT provides an upper limit to the gamma-ray flux at TeV and PeV energies.Different strategies are possible for the search of the DM decay signal. The analysis by the HAWC collaboration [79] has adopted an approach in which a signal from the direction around the Galactic Center (more precisely, the region of the Fermi Bubble) is searched for, and the rest of the sky is considered for the background estimate. An alternative possibility is to search for a somewhat weaker (by a factor of two, on average) signal, but extending across the entire sky. An advantage of the latter approach is the larger exposure available for the full-sky search, while a disadvantage is the stricter requirements on the charged-particle vs. gamma-ray separation, due to the modest if not negligible angular variation of the signal. A simple rescaling suggests that a full-sky exposure would provide an increase of the DM signal-to-noise ratio by a factor of
$ \simeq 2 $ on one-year observation time span, compared to the Fermi Bubble region exposure, in spite of the lower average flux. The use of the full (or large) sky exposure, rather than of limited sky region around the Galactic Centre, is important also in the view of uncertainties on the Galactic diffuse γ-emission unrelated to the DM decay flux. This diffuse emission provides a background on top of which the DM decay signal is searched for. Even if it is possibly sub-dominant compared to the residual charged particle background in γ-telescopes, it might still be stronger than the DM decay signal.Intriguingly, the birth of high-energy neutrino astronomy provides a benchmark region in parameter space to search for a possible DM decay signal. The IceCube experiment, completed in 2011, continues observing a flux of high energy (
$ \gtrsim 10 $ TeV) neutrinos significantly in excess with respect to the expected background from atmospheric neutrinos and muons [28–33]. The source(s) of these neutrinos is yet unknown, although based on their almost uniform angular distribution an extragalactic origin or a galactic halo origin is favored. Directional analyses with various classes of astrophysical objects and catalogs are not showing any correlation leading to the conclusion that the contribution of well-known objects, such as blazars, to the observed diffuse neutrino flux is$ \lesssim{\cal{O}} $ (10%) [80]. In this context, it has been quite natural to consider unconventional sources for these neutrinos. Also, since neutrinos provide for the first time a window on the 0.1-10 PeV Universe, it may not be so bizarre that new classes of sources can pop up. The potential to answer long-standing problems such as the nature of DM by investigating this energy regime has only recently been entertained.A decaying DM scenario has gained some attention, mainly due to its minimal assumptions and its testability in future gamma-ray experiments. Interestingly, not only the first PeV-scale events discovered [34], but the whole observed flux of neutrinos by IceCube can be interpreted in this scenario [35], although a multi-component flux arising from both the conventional astrophysical sources and DM also has been investigated, starting from [38]. In a phenomenological approach, the properties of the required DM particle can be deduced from a fit to the neutrino data. In this case, the free parameters are the decay lifetime, the mass and the branching ratios of the DM decay to various standard model particles. The ballpark lifetime is
$ \sim10^{27} -10^{28} $ s and the mass has to be$ \gtrsim $ few PeV in order to interpret the highest energy observed events in IceCube (obviously, assuming the multi-component neutrino flux, the DM mass can take any value in our range of interest$ \gtrsim10 $ TeV). The highest energy events are typically accounted for via 'hard' leptonic final states, while lower energy events are fitted via soft channels including e.g. gauge bosons and quarks. Part of the flux can also be accommodated via some astrophysical component.For any decay channel of PeV-scale DM particles explaining or contributing to the IceCube neutrino flux, gamma rays are unavoidably associated decay products, and their Galactic fraction can be observed by LHAASO. The following processes contribute to the expected gamma ray flux at Earth: i) A prompt flux is at very least due to the electroweak corrections ii) A secondary flux is induced by the unavoidable prompt (as well as secondary) charged leptons, via the Inverse-Compton process onto the CMB and star-light which lead to a spectrum of high energy gamma rays where the Galactic part of it contribute to the total flux. Of course the exact spectral shape of the flux depends on the magnitude and profile of the magnetized halo in our Galaxy, which are yet not known very well.
Figure 3, updated from Ref. [52], shows the spectrum of gamma ray yield from the decay of DM with mass 4 PeV and final state branching ratios given by:
$ \ell^{\pm} W^{\mp}:\stackrel{(-)}{\nu_{\ell}} Z:\stackrel{(-)}{\nu_{\ell}} h = 1:2:2 $ . The solid curves show the prompt flux accounting for gamma-ray absorption; different colors represent different directions in the sky. Even this Galactic flux suffers from absorption due to the pair production on CMB and star-light, with the suppression reaching ~70% for the Galactic center line of sight. Dashed curves show the flux due to inverse-Compton photons, for various assumptions for the constant halo magnetic field,$ B_{\rm{halo}} $ , possibly pervading the thick diffusive halo of the Galaxy up to large distances. While uncertain, it is particularly important in the range above 100 TeV. Note how upper bound from two-decade old experiments CASA-MIA [81] and KASCADE [82] are within one order of magnitude of the expected flux (even less, if they had been sensitive to regions closer to the Galactic center), while LHAASO should provide a definite test of this scenario (the black line indicates its 1 yr nominal sensitivity).Figure 3. (color online) The gamma-ray flux from DM decay from various directions, with
$m_{\rm{DM}} = 4$ PeV and$\tau_{\rm{DM}} = 10^{28}$ s, and branching ratios reported in the text. The solid colored curves show the prompt flux, including the absorption of gamma-rays; different colors represent different directions in the sky. The dashed curves show the IC flux, for various assumptions for the constant halo magnetic field,$B_{\rm{halo}}$ , possibly pervading the thick diffusive halo of the Galaxy up to large distances. The green and brown bar lines show the upper bound on gamma-ray flux from CASA-MIA [81] and KASCADE [82], respectively. The black line is an indicative 1 yr LHAASO sensitivity.Meaningful bounds can also be obtained thanks to diffuse gamma-ray data by Fermi-LAT in the GeV band, see e.g. [83], exploiting the cascading effect on the extragalactic part of the flux previously mentioned. However, such constraints are rather indirect, depending on the datasets used, the final state considered, and the different assumptions for the contributions to the astrophysical background. LHAASO would allow one to probe the scenario directly and unambiguously, achieving great sensitivity also to sub-leading DM contributions. This was explicitly illustrated in Ref. [84], where the authors estimated the LHAASO sensitivity reach for the decaying DM search, following the approach of Ref. [79]: In each energy bin they compared the DM decay flux levels for different values of
$ m_{\rm DM},\tau_{\rm DM} $ with the residual charged particle background levels and calculate by how much is the$ \chi^2 $ of the fit of the signal+background data is inconsistent with the backgorund-only model in all energy bins. In this way they found the minimal detectable DM decay flux as a function of the DM mass for the model of Ref. [84] of DM decaying into quark-antiquark pair, in turn converted into a maximal measurable DM decay time. The results are shown in Fig. 4. It clearly illustrates how LHAASO will explore DM lifetimes up to$ \tau_{\rm DM}\sim 3\times 10^{29} $ s over a wide DM mass range$ m_{\rm DM}>10 $ PeV. In the mass range$ 10 $ TeV$ <m_{\rm DM}<10 $ PeV LHAASO will provide a factor of 3-to-10 improvement of sensitivity compared to HAWC. In any case, LHAASO will fully test models where a non-negligible fraction of the IceCube astrophysical neutrino flux is generated by DM decays.Figure 4. (color online) Sensitivity of LHAASO for the measurement of dark matter decay time (for DM decaying into quarks). Yellow band shows the range of decay times for which DM decays give sizeable contribution to the IceCube neutrino signal [84]. Blue and grey shaded regions show the existing bounds imposed by HAWC [79] and ultra-high-energy cosmic ray experiments [85]. and dashed cureves are from the HAWC search of the DM decay signal in the Fermi Bubble regions [79]. From [53].
Chapter 5 Dark Matter and New Physics Beyond the Standard Model with LHAASO
- Received Date: 2021-12-02
- Available Online: 2022-03-15
Abstract: In order to reveal the nature of dark matter, it is crucial to detect its non-gravitational interactions with the standard model particles. The traditional dark matter searches focused on the so-called weakly interacting massive particles. However, this paradigm is strongly constrained by the null results of current experiments with high precision. Therefore there is a renewed interest of searches for heavy dark matter particles above TeV scale. The Large High Altitude Air Shower Observatory (LHAASO) with large effective area and strong background rejection power is very suitable to investigate the gamma-ray signals induced by dark matter annihilation or decay above TeV scale. In this document, we review the theoretical motivations and background of heavy dark matter. We review the prospects of searching for the gamma-ray signals resulted from dark matter in the dwarf spheroidal satellites and Galactic halo for LHAASO, and present the projected sensitivities. We also review the prospects of searching for the axion-like particles, which are a kind of well motivated light pseudo-scalars, through the LHAASO measurement of the very high energy gamma-ray spectra of astrophysical sources.