Constraints on evaporating primordial black holes from
the AMS-02
positron data
Abstract
Cosmic-ray (CR) positrons are relatively rare due to its secondary origin and thus sensitive to exotic contributions. Primordial black holes (PBHs) with masses above can be stable sources of CR positrons due to Hawking radiation. We show that the CR positron flux measured by AMS-02 can place stringent constraints on the energy fraction of PBHs relative to that of dark matter . Making use of the state-of-the-art models for CR propagation in both the Galaxy and heliosphere, we obtain conservative upper limit of at g, which improves the previous constraints obtained from the Voyager CR all-electron data by around an order of magnitude.
I Introduction
Astrophysical and cosmological observations suggest that the dominant part of the matter in the present Universe is in the form of non-luminous dark matter (DM). In many particle physics models, DM consists of a new type of elementary particle beyond the Standard Model (SM) of particle physics, which may participate non-gravitational interactions with baryonic matter, such as weakly interacting massive particles (WIMPs), sterile neutrinos, QCD axions and ultralight bosonic particles. Despite great experimental efforts in recent decades, so far there is no confirmed signals of particle DM from direct, indirect and collider DM search experiments.
Primordial black hole (PBH) is an alternative DM candidate which does not require any new physics beyond the SM. PBHs are believed to have formed after the inflation, and subsequently evolved through accretion, mergers, and Hawking radiation. Depending on the time of formation, the masses of PBHs can vary in a large range. In general, the initial mass of a PBH should be close to the Hubble horizon mass at the production time , , where is the speed of light and is the Newton constant. For two typical formation time of the Planck time and the time just before the big-bang nucleosynthesis (BBN) , the initial PBH mass are around and , respectively.
PBH can be whole or a fraction of DM. The energy fraction of PBHs relative to that of whole DM is defined as , where and are the energy density parameters of DM and PBHs relative to the critical density of the present Universe, respectively. For heavy PBHs with , the value of can be constrained by the gravitational effects from PBHs such as microlensing MACHO:2000qbb ; Wyrzykowski:2010mh ; Wyrzykowski:2011tr ; Macho:2000nvd ; Griest:2013aaa ; CalchiNovati:2013jpj ; Griest:2013esa , dynamical constraint from globular clusters, galaxy disruption and other observables Koushiappas:2017chw ; Monroy-Rodriguez:2014ula ; Carr:2019bel ; MUSE:2020qbo (for recent reviews, see e.g.Carr:2020gox ; Carr:2020xqk ).
Light PBHs are expected to emit SM particles through Hawking radiations Hawking:1974rv . PBHs in the mass range from are expected to emit SM particles with typical energies from a few GeV down to a few hundreds of keV. PBHs loss their masses through Hawking radiation at a rate Baldes:2020nuv ; Cheek:2021odj , which suggests that heavier PBHs evaporate slower. It has been shown that PBHs with masses have lifetimes larger the age of the Universe, and can be considered as stable sources of photons and cosmic-ray (CR) particles in the Galaxy MacGibbon:1991tj . This type of evaporating PBHs can be searched by current space-borne detectors. For PBHs in this mass region, the value of can be constrained by the data of extragalactic and galactic diffuse -rays Carr:2009jm ; Carr:2016hva ; Arbey:2019vqx , CMB Auffinger:2022khh , neutrinos Dasgupta:2019cae ; Wang:2020uvi , CR electrons Boudaud:2018hqb , CR positron annihilation into 511 keV gamma-ray lines Dasgupta:2019cae ; Laha:2019ssq , and CR antiprotons Maki:1995pa ; Barrau:2001ev , etc.
Recently, low-energy CR all-electron () flux data from Voyager-1 have been used to set constraints on Boudaud:2018hqb . The obtained limits turned out to be competitive with that derived from extragalactic -rays. As Voyager-1 is now outside the heliopuase, the electron flux measured by Voyager-1 can be considered as the true local interstellar (LIS) flux, and the derived constraints are expected to be relatively robust against the influence of the solar activity, the so called solar modulation effect. Note, however, that although the low-energy electron data from Voyager-1 can be considered as the true LIS flux, the theoretical prediction for CR flux from PBH evaporation involves a number of parameters for the CR propagation in the Galaxy, such as the diffusion coefficient, re-acceleration coefficient and convection velocity. These parameters are determined through fitting to the CR data (e.g the Boron to Carbon flux ratio, B/C) measured at the top of the atmosphere (TOA) deep inside the heliospher, which are strongly affected by the solar activity. Thus, the constraints on the PBH fraction from the Voyager data are inevitabally affected the solar modulation effect. Actually, the LIS fluxes measured by Voyager-1,2 are more useful in improving the modeling and calibrating of the solar modulation effect itself. In order to derive robust constraints on exotic contributions, it is necessary to consider both the LIS and TOA CR flux data simultaneously and consistently calculate the CR propagation in the Galaxy and heliosphere, as the parameters of the two processes are strongly correlated.
In this work we explore the possibility of using CR positron flux to constrain the abundance of PBHs. CR positrons are believed to be of secondary origin and relatively rare compared with the CR primaries such as protons and electrons. Thus CR positron flux should be sensitive to any exotic contributions. The currently measured CR positron flux already showed an unexpected rise starting at high energies above 20 GeV and a peak at around 300 GeV, which may hint at nearby astrophysical sources or halo DM contributions (see e.g. Bergstrom:2008gr ; Cirelli:2008pk ; Bergstrom:2009fa ; Lin:2014vja ; Jin:2013nta ; Jin:2014ica ). Alternatively, the low-energy CR positron flux below GeV can be used to set constraints on exotic contributions as they are roughly consistent with the expected backgrounds. In this work, we shall use the low-energy CR positron data with kinetic energy from 0.5–5.2 GeV from AMS-02 to constrain the PBH fraction . Although the initial energy of the CR positrons from evaporating PBHs with mass above should be quite low around MeV, the positron energy can be further enhanced during the propagation process through interacting with the galactic magnetic fields, which is known as the re-acceleration process. The existence of re-acceleration is favored by a large number of independent analyses (see, e.g. Strong:1998pw ; Moskalenko:2001ya ; Strong:2001fu ; Moskalenko:2002yx ; Ptuskin:2005ax ; Jin:2014ica ; Johannesson:2016rlh ; Boschini:2019gow ; Boschini:2020jty ; Evoli:2016xgn ). We use the state-of-the-art models for CR propagation in the Galaxy (based on the numerical code Strong:1998pw ; Moskalenko:2001ya ; Strong:2001fu ; Moskalenko:2002yx ; Ptuskin:2005ax ) and in the heliospher (using the code Bobik:2011ig ; Bobik:2016 ; Boschini:2017gic ; Boschini:2019ubh ; Boschini:2022 which is based on the numerical solution of the Parker equation and the force-field approximation). In calculating the CR positron flux from PBH evaporation the numerical code Auffinger:2022sqj is used which includes both the primary and secondary contributions. The results show that for typical diffusive re-acceleration models with best-fit parameters determined from current proton, B/C and light CR nuclei data, the CR positron flux measured by AMS-02 can provide very stringent limits, which can be stronger than the previous constraints derived from the Voyager electron flux by around an order of magnitude.
The remaining part of this paper is organized as follows. In section II, we give a brief overview on the particle spectrum from PBH evaporation. In section III, we discuss the CR propagation in the Galaxy and the models for solar modulation. The constraints on PBH abundances from the AMS-02 positron data are discussed in section IV for the cases without background and with backgrounds. The results of this work is summarized in section V.
II Evaporation of primordial black holes
In this work, unless otherwise stated, we adopt the natural system of units with , where is the reduced Plank constant, is the Boltzmann constant, and is the speed of light. We consider a simple scenario where the spin of PBHs can be negligible, which can be obtained from a series of possible formation mechanisms DeLuca:2019buf ; 1704.06573 ; 1901.05963 (for the formation of PBHs with near-extremal spin, see e.g. Harada:2016mhb ; Harada:2017fjm ; Cotner:2017tir ). The emission rate of particle species per unit time and total energy from Hawking radiation is given by Hawking:1975iha
(1) |
where and are the spin and the total degree of freedom of the particle , respectively, and the temperature of a PBH with mass is Page:1976df
(2) |
The graybody factor in Eq. (1) is determined by the equation of motion of the particle in curved space time near the horizon. It describes the probability that the particle , created at the PBH horizon, finally escapes to spatial infinity. In the geometric optics limit (i.e., the high-energy limit), the graybody factor for electron can be approximated as . Note that Eq. (1) only describes the primary particles directly emitted from PBHs. The decays of the unstable primary particles can produce secondary stable particles. In the calculation of the graybody factor and the energy spectra of the emitted particles, we use the numerical code of Arbey:2019mbc ; Auffinger:2022sqj in which both the primary and secondary production processes are calculated. For the low-energy particle production and decay, we use the results from the Hazma code 1907.11846 which is now included in the updated version BlackHawk-v2.1 Auffinger:2022sqj .

The energy spectrum from all the evaporating PBHs with different masses is given by
(3) |
where is the mass distribution function of PBH. Depending on formation mechanisms, the mass function can be a peak theory distribution Tashiro:2008sf ; Germani:2018jgr , log-normal distribution Kannike:2017bxn , monochromatic distribution Carr:2017jsz or power-law distribution Carr:2017edp . In this work, we consider two widely used models, namely, monochromatic and log-normal mass functions. A nearly monochromatic mass function is naturally expected if all PBHs are formed at a same epoch, and a log-normal mass function can arise from inflationary fluctuations Dolgov:1992pu ; Clesse:2015wea . The two mass functions are given by
(4) |
where is the characteristic mass, is the width of the log-normal mass distribution, and are normalized factors with different unit, which are determined by the energy density of PBH as follows
(5) |
Due to Hawking radiation, PBHs continually lose their masses. Analytical and numerical calculations both confirmed that the lighter PBHs, the faster evaporation MacGibbon:1990zk ; Chao:2021orr , suggesting PBHs with very small masses are absent by now. In this work we only take into account the contribution from the existing PBHs, the lower bound in Eq. (5) is fixed at . From Eq. (5), the relation between the normalized factor and can be obtained. It is evident that for . The value of can be expressed as , where from numerical calculations. The case of corresponds to the limit of .
In the left panel of Fig. 1, we show the calculated emission spectrum for CR as a function of kinetic energy in the monochromatically distributed PBHs with typical masses , and , respectively. For light PBHs with , the contributions from secondary particles are important, the secondaries can be dominant in the low-energy region below 10 MeV and can change the spectral shape significantly. For heavier PBHs with , the secondary contribution is negligible, so only the total contribution is shown. In the right panel of Fig. 1, the energy spectra for the case of log-normal PBH mass distribution is shown for fixed with three different widths of , 1.0 and 2.0. Compared with the left panel, for larger width such as , the spectra can extend to much higher energies, as the possibility for having lighter PBHs is significantly increase.
III CR propagation in the Galaxy and the heliosphere
III.1 CR propagation in the Galaxy
The propagation of CR charged particles in the Galaxy can be described by a 2D diffusion model in which a diffusion zone is assumed to be a cylinder with radius kpc and half-height kpc. The diffusion equation of CR charged particles can be written as Berezinsky:1990qxi ; Strong:2007nh :
(6) |
where is the number density per unit of particle momentum at the position which is related to the phase space distribution function as , is the time-independent source term, is the energy-dependent spatial diffusion coefficient, is the convection velocity related to the galactic wind, is the diffusion coefficient in momentum space, is the momentum loss rate, and are the time scales of particle fragmentation and radioactive decay, respectively.
The diffusion coefficient is parameterized as , where is the rigidity of the cosmic-ray particle with electric charge , is the spectral power index, is a constant normalization coefficient determined at rigidity GV, is the velocity of CR particles relative to the speed of light , and the parameter is introduced to accommodate the low-rigidity behavior of the CR spectra. If necessary, an ad-hoc break in can be introduced, namely, for below (above) a reference rigidity . The diffusion in momentum space is described by the parameter which can be parameterized as
(7) |
where is the Alfvèn velocity which characterizes the propagation of disturbances in Galactic magnetic fields. The scattering of charged particles by the random motion of the magnetic fields characterized by the Alfvèn velocity leads to a certain amount of second-order Fermi acceleration during propagation, which can significantly modify the low-energy CR energy spectrum.
The convection velocity is modeled as a vector field perpendicular to the galactic disk, starting from at and increases linearly with with gradient . For stable CR sources, the steady-state solution can be achieved, the corresponding condition is . For the boundary conditions, it is assumed that particles can escape freely at the boundary of the halo. In terms of the cylinder coordinates , the boundary condition is . The diffusion equation can be numerically solved use the public code GALPROP Strong:1998pw ; Moskalenko:2001ya ; Strong:2001fu ; Moskalenko:2002yx ; Ptuskin:2005ax .
The primary CR electrons are believed to be accelerated by supernova remnants (SNR) and pulsar wind nebulae. The distribution of the primary CR sources can be modeled by a spatial density function multiplied by a broken power-law spectrum with -fold breaks at rigidities with indices before each break
(8) |
For instance, if only one break at is considered, the source power term has two power indices and . The spatial distribution of the primary sources is assumed to follow that of SNRs, which is parameterized as follows
(9) |
where the two source parameters and slightly depends on CR species.
In addition to the primary CR electrons, there are secondary CR created by the collision of primary CR nuclei with the interstellar medium (ISM). The secondary source term for CR electrons and positrons is given by
(10) |
where the index runs through primary CR particles such as proton and Helium, is the velocity of primary CR particle , is the number density of the -th ISM component with runs through HI, HII, and H2, is the differential cross-section for creating a secondary with momentum from an incident primary particle with momentum . Secondary are typically produced from the decay of and during the collision with ISM Moskalenko:1997gh .
III.2 CR propagation in the Helioshpere
In the vicinity of the Sun, the propagation of charged CR particles is affected by the regular and irregular heliospheric magnetic fields generated by the out flowing solar wind. The solar activity leads to time-dependent suppression of the CR particle flux with rigidity below GV, which is referred to as the solar modulation effect. The CR propagation in the heliosphere can be described by the following Parker equation
(11) |
where is the particle number density per kinetic energy , is the symmetric part of the diffusion tensor, is the solar wind velocity, is the particle magnetic drift velocity, and . The component of parallel to the magnetic field is believed to be dominant over that perpendicular component . The parallel component is parametrized as
(12) |
where is the diffusion parameter and is the distance to the Sun, is a parameter depends on the solar activity. The -th perpendicular component is related to the parallel component through . The parameters and are two major free parameters which need to be determined by the CR data measured at different period of solar activities. The Parker equation can be numerically solved with the results summarized in the code Helmod Bobik:2011ig ; Bobik:2016 ; Boschini:2017gic ; Boschini:2019ubh ; Boschini:2022 in which the propagation parameters are calibrated using the up-to-data CR data. The Helmod code is able to quantitatively reproduce the time variation of CR fluxes such as that of protons, and the predicted LIS proton flux is in a remarkable agreement with the Voyager-1 data Boschini:2019ubh .
Another commonly-adopted model for solar modulation is based on the simplified force-field approximation Gleeson:1968zza . In this approach, the CR flux at TOA is related to that at LIS through the relation
(13) |
The kinetic energy of the CR particle in LIS is related to that at TOA through the relation , where is the so-called Fisk potential which is a phenomenological parameter needs be determined together with other propagation parameters. In this method, the solar modulation effect is assumed to be homogeneous. The value of is dependent on the CR species, and different values of should be adopted to fit the same CR specie measured at different time period. There is a strong degeneracy between and the CR propagation parameters and the primary source parameters.
III.3 Benchmark propagation models
In this work, we take the analysis framework of Galprop+Helmod as the benchmark model. In this framework, the two numerical codes Galprop and Helmod are combined together to provide a single framework to calculate CR fluxes at different modulation levels and at both polarities of the solar magnetic field Boschini:2017fxq ; Boschini:2018zdv ; Boschini:2019gow ; Boschini:2020jty . This is achieved by an iterative optimization procedure to tune the parameters in both Galprop and Helmod to best reproduce the data set of CR proton flux measured by PAMELA, BESS and AMS-02. The prediction LIS proton spectrum is in a remarkable agreement with the Voyager-1 data Boschini:2019ubh . We adopt the best parameters determined in Boschini:2020jty which is obtained by a MCMC scan of the parameter space to fit the AMS-02 data of light nuclei. In this model (referred to as model-GH), the best fit halo height is fixed at kpc. The details of the parameters of these propagation models are listed in the first column of Table 1. In this model, the source parameters in Eq. (9) are fixed at and .
Parameters | GH | MIN | MED | MAX | |
---|---|---|---|---|---|
[kpc] | 4.0 | 1.8 | 3.2 | 6.0 | |
[] | 4.3 | 3.5 | 6.5 | 10.6 | |
0.7 | 1 | 1 | 1 | ||
0.415 | 0.30 | 0.29 | 0.29 | ||
[] | 30 | 42.7 | 44.8 | 43.4 | |
[] | 9.8 | – | – | – | |
[GV] | – | 0.55 | 0.55 | 0.55 | |
[GV] | |||||
For the framework with Galprop+, we consider the best-fit parameters from our previous analysis to the AMS-02 proton and B/C data Jin:2014ica . Three representative models with different values of kpc (the so called MIN, MED and MAX models for Galprop) are considered to take into account the large uncertainties in due to the well-known degeneracy. The solar potential for these three models are fixed at . The details of the parameters of these propagation models are listed in Table 1. In this model, slightly different values of the source parameters and are adopted, which are also the default values used by Galprop-v54.
In the calculation of primary CR sources from PBH evaporation, the spatial distribution of PBHs in the Galaxy is assumed to follow that of DM, namely, satisfies , where is the DM density profile. We consider the Navarro-Frenk-White (NFW) profile Navarro:1996gj
(14) |
where is the local DM energy density, is the distance of the Sun to the Galactic center, and is a typical radius parameter. Note that for CR electron and positron fluxes the DM profile dependence is rather weak.

In the left panel of Fig. 2, we show the CR positron and all-electron flux predicted from the evaporation of PBHs with monochromatic mass g in the GH propagation model together with the data of AMS-02 (positron and all-electron) and Voyager-1, -2 (all-electron). The astrophysical background electrons and positrons are not shown for the moment, such that conservative constraints (i.e. the constraints without including the astrophysical backgrounds) on can be roughly estimated from comparing the theoretical predictions with the data. It can be seen that in the propagation model under consideration, the PBH generated positron flux will be first constrained by the AMS-02 positron data in the GeV region rather than that from the Voyager all-electron data in the MeV region. Since the predicted CR fluxes depend on linearly, we find by gradually increasing the value of that for the predicted positron flux can saturate the low-energy positron flux at GeV measured by AMS-02, which will set the scale of the final constraints from a statistic analysis. We find similar results for other propagation models such as the MIN, MED and MAX models. In the right panel of Fig. 2, we show the result for the log-normal mass function with g and width in the propagation model GH. The CR backgrounds are also neglected in the panel in order to estimate the conservative constraints on . It can be seen that in this extended mass function the valeu of will again be constrained first by the AMS-02 low-energy positron data. A typical value is .
For PBHs with g, the corresponding PBH temperatures are only around . Thus the positrons evaporated from the PBH should have very low MeV-scale initial energies. The fact that a significant portion of the CR positrons can reach the GeV region after the propagation is closely related to the re-acceleration term in the CR propagation model in Eq. (7) with a sizable value of . During the CR propagation process, it is generally expected that charged CR particles can be accelerated by the random motion of the Galactic magnetic fields, and it is well-known that it provides a natural mechanism to reproduce the low-energy B/C ratio with Kolmogorov type turbulence Simon:1996dk . Diffusive re-acceleration is now a standard term in the Galprop code Strong:1998pw ; Moskalenko:2001ya ; Strong:2001fu ; Moskalenko:2002yx ; Ptuskin:2005ax and also in the Dragon code Evoli:2016xgn for CR propagation. In the Galprop+Helmod analysis framework, the recently fit including AMS-02 data of Li, Be and B fluxes strongly favor Boschini:2019gow ; Boschini:2020jty . In the Galprop+ framework, a recent analysis including the AMS-02 data of Be–O nuclei also favored a large , although it was also noticed that fit to another data set of proton, antiproton, and Helium tended to give a smaller value of Johannesson:2016rlh . An alternative explanation to the observed structure of the B/C data is to introduce ad-hoc breaks in the diffusion coefficient. A recently analysis showed that the two competing scenarios, one with re-acceleration and the other one without re-acceleration but with a break in the diffusion can fit the AMS data of Li – O nuclei well, after the uncertainties in the cross sections are taken into account Korsmeier:2021brc . Similar conclusions can be found in fitting only to the AMS-02 B/C data using the semi-analytic 1D propagation models Genolini:2019ewc . At present, although the re-acceleration process is generally expected, the exact value of is not yet conclusive. Fig. 2 suggest that if a large of is confirmed, the AMS-02 positron data will be more powerful in constraining than that from the Voyager all-electron data.

IV Constraints on the PBH abundance
In this section, we derive the constraints on from the current CR electron and positron data. In the first step, we derive the constraints under the assumption of null astrophysical backgrounds, which should be more conservative and robust compared with that with astrophysical backgrounds included. In calculating the constraints, we adopt a simple approach by requiring that the predicted CR fluxe from PBH evaporation should not exceed the measured value by more than uncertainty in any energy bin, which was adopted in Ref. Boudaud:2018hqb , and allows for a direct comparison with their results. The constraints can be obtained by simply rescaling the value of and compare the predictions with the experimental data.
In Fig. 3, we show the obtained individual constraints from Voyager-1,-2 all-electron data, AMS-02 all-electron data and AMS-02 positron data for monochromatically distributed PBHs in the mass range . The results for four different propagation models GH, MIN, MED and MAX listed in Tab. 1 are shown in the four panels of Fig. 3. It can be seen from the figure that for all the four propagation models, the constraints from the low-energy AMS-02 positron data are the most stringent. In the GH propagation model, we obtain conservative upper limit of
which is stronger than that from the Voyager all-electron data by an order of magnitude. The AMS-02 positron constraints are also more stringent than that from the AMS-02 all-electron data. The reason is that the initial spectra of electrons and positrons from PBH evaporation are the same as the evaporation process is charge symmetric. Thus the prediction for all-electron flux from PBH evaporation should be approximately twice the positron flux. However, the all-electron flux measured by AMS-02 is around an order of magnitude higher than of positron flux. Thus the corresponding constraints are significantly weaker in the null background case. The constraints derived in Fig. 3 are in a good agreement with the values previously estimated from the left panel of Fig. 2. In the left panel of Fig. 4 we show the constraints for log-normally distributed PBHs with a typical width in the GH propagation model. Similar to the case with monochromatic mass function, the AMS-02 positron data provide the most stringent limits in the case with log-normal mass function. In the right panel of Fig. 4, the constraints for different widths and 2.0 for the log-normal mass function are compared. For the log-normal mass function constraints becomes more stringent as the value of increases, which is consistent with the flux predictions in the right panel of Fig. 2.

In the next step, we consider the CR-positron constraints including the secondary positron backgrounds. Including the astrophysical background in general results in more stringent constraints. Note, however, that so far the theoretical predictions for low-energy (sub-GeV) positron flux still suffer from significant uncertainties. In addition to the uncertainties in the propagation model such as the diffusion halo half-height , large uncertainties arise from the poorly known low-energy and inelastic scattering cross sections for positron production. At present, the cross sections can be obtained either from analytical parameterizations to the experimental data Orusa:2022pvp ; Kafexhiu:2014cua ; Kamae:2006bf or from QCD-based Monte-Carlo event generators DelaTorreLuque:2023zyd ; Koldobskiy:2021nld ; Bierlich:2022pfr . The difference can easily reach a factor of two. Other uncertainties specifically related to CR electron and positron energy loss involve that in the Galactic magnetic fields and gas distribution (for recently analyses, see e.g. DiMauro:2023oqx ; DelaTorreLuque:2023zyd ). Thus the constraints including the astrophysical backgrounds are less robust compared with that without backgrounds. To account for the uncertainties in the secondary positron flux , we add two additional parameters and to the calculated CR positron flux from a given propagation model, namely, . The two parameters are determined by fitting to the experimental data. In the GH propagation model, a fitting to the AMS-02 positron flux data in the low-energy region GeV (16 data points in total) gives , and with . For other propagation models MIN, MED and MAX similar results are found.

In the presence of backgrounds, we derive the corresponding constraint on using the standard minimal chi-squred method (or, the log likelihood ratio method). For a given mass function parameters of or a pair of , we first find the best-fit parameters and the corresponding minimal value of . Then, we increase the value of and redo the fitting with respect to the other nuisance parameters and obtain another value of . This process is repeated until a particular satisfying is found. Here, the parameters with a single hat minimized the function for the given . The obtained value of corresponds to the value excluded at the 95% confidence level. In the left panel of Fig. 5, we show the obtained constraints on as a function of in the case of monochromatic mass function in four propagation models. The difference between different propagation models are typically within two orders of magnitude. Among these models, GH model give the most stringent limits. In the right panel of Fig. 5, the constraints for the log-normal mass function with three width in the GH propagation model are shown. Similar to the right panel of Fig. 4, increasing leads to more stringent constraints. In all the case, we have verified that the constraints from the low-energy AMS-02 positron data are always the most stringent compared with that from the AMS-02 all-electron or the Voyager-1,2 all-electron data.

In Fig. 6, we compare the constraints from the AMS-02 positron data obtained in the GH model with a selection of constraints from other observables such as that from the extragalactic -ray Carr:2009jm , CMB Auffinger:2022khh and -ray line Dasgupta:2019cae . We also compare our results with that previously obtained from the Voyager-1 all-electron data in a diffusive-reacceleration propagation model (model A) in Ref. Boudaud:2018hqb . The figure shows that the constraints from AMS-02 positron data are competitive with all these previously obtained constraints, and more stringent than that from the Voyager all-electron data in both the cases with and without including the astrophysical backgrounds.
V Conclusions
In summary, in this work we have explored the possibility of using the low-energy CR positron data to constrain the abundance of primordial black holes. The advantage of using the CR positron data is based on its secondary origin and thus sensitive to any exotic contributions. We have shown that in some typical diffusive re-acceleration CR propagation models, the current AMS-02 data can place stringent constraints on . As an example, we have shown that in the Galprop+Helmod model for CR propagation in the Galaxy and heliosphere, a conservative upper limit of at g can be obtained, which improves the previous constraints from the Voyager-1 data of all-electrons by around an order of magnitude. Compared with other observables such as diffusive -rays, using the CR flux data to constrain PBH abundance in general suffers from uncertainties in the propagation models, which are expected to be improved in the near future with more precise data from the experiments such as AMS-02, DAMPE and HERD.
Acknowledgements.
This work is supported in part by the NSFC under Grants No. 11825506, and No. 11821505.References
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