Energy spectra of abundant cosmic-ray nuclei in the NUCLEON experiment

Gorbunov, N.; Grebenyuk, V.; Karmanov, D.; Ковалев, И В; Kudryashov, I.; Kurganov, A.; Panov, Aleksandr I.; Podorozhny, D.; Porokhovoy, S.; Sveshnikova, L. G.; Tkachenko, A.; Ткачев, Л.; Turundaevskiy, A.; Vasiliev, O. S.; Voronin, Aleksandr

doi:10.48550/arxiv.1809.05333

Cited by 7 publications

(12 citation statements)

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“…We adopt the Bayesian analysis based on a Markov chain Monte Carlo (MCMC) sampling algorithm to constrain the model parameters, which is meaningful for depicting the CR diffusion pattern in the Galaxy. We also notice that the proton and helium spectra both have a "knee" around 10TV as recently founded by NUCLEON [28] and DAMPE [20,21]. We suppose that other mechanisms give this feature and only focus on the spectra below this energy.…”

Section: Introductionsupporting

confidence: 52%

“…Besides the precise measurements of carbon flux, B/C, and Be/B ratios from AMS-02 [15,16], other data are also included for better parameter constraints, which are listed in Table I. For the carbon flux, we use the CALET [19], NUCLEON [28], and CREAM-II [46] measurements to cover the multi-TeV energy region and the ACE-CRIS measurements [47] to cover the MeV energy region. The low-energy B/C ratio is constrained by the ACE-CRIS data [47].…”

Section: B Data Setsmentioning

confidence: 99%

“…FIG.3. Carbon spectrum calculated with the best-fit parameters (green solid line) and the 2σ confidence interval (green band), compared with the experimental data, including AMS-02[15], ACE-CRIS[47], Voyager1[48], CALET[19](multiplied by 1.27), CREAM-II[46], and NUCLEON[28]. The LIS of carbon are drawn with green dotted line.…”

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confidence: 99%

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Constraints on the spatially dependent cosmic-ray propagation model from Bayesian Analysis

Zhao,

Fang,

2021

Preprint

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The energy spectra of primary and secondary cosmic rays (CR) generally harden at several hundreds of GeV, which can be naturally interpreted by propagation effects. We adopt a spatially dependent CR propagation model to fit the spectral hardening, where a slow-diffusion disk (SDD) is assumed near the Galactic plane. We aim to constrain the propagation parameters with the Bayesian parameter estimation based on a Markov chain Monte Carlo sampling algorithm. The latest precise measurements of carbon spectrum and B/C ratio are adopted in the Bayesian analysis. The 10 Be/ 9 Be and Be/B ratios are also included to break parameter degeneracies. The fitting result shows that all the parameters are well constrained. Especially, the thickness of the SDD is limited to 0.4-0.5 kpc above and below the Galactic plane, which could be the best constraint for the slow-diffusion region among similar works. The p/p ratio and amplitude of CR anisotropy predicted by the SDD model are consistent with the observations, while the predicted high-energy electron and positron fluxes are slightly and significantly lower than the observations, respectively, indicating the necessity of extra sources.

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Section: Introductionsupporting

confidence: 52%

Section: B Data Setsmentioning

confidence: 99%

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Constraints on the spatially dependent cosmic-ray propagation model from Bayesian Analysis

Zhao,

Fang,

2021

Preprint

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“…The absence of structures indicates that a common acceleration mechanism in CR sources is at work and that features connected to the age or maximal energy of individual sources are averaged out, because a large number of sources contributes to the locally observed CR flux. In other words, a [126,177], CREAM [178] and NUCLEON experiments [179,180].…”

Section: Primary Cosmic Ray Nucleimentioning

confidence: 99%

Cosmic ray models

Kachelrieß

Semikoz

2019

Progress in Particle and Nuclear Physics

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We review progress in high-energy cosmic ray physics focusing on recent experimental results and models developed for their interpretation. Emphasis is put on the propagation of charged cosmic rays, covering the whole range from ∼ (20 − 50) GV, i.e. the rigidity when solar modulations can be neglected, up to the highest energies observed. We discuss models aiming to explain the anomalies in Galactic cosmic rays, the knee, and the transition from Galactic to extragalactic cosmic rays.

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“…Voyager 1 [41], ACE-CRIS [42], CREAM [43,44], NUCLEON [45,46], CALET [47], HEAO-3-C2 [48], DAMPE [49], and AMS-02 [50]. The best-fit values of the main propagation parameters are summarized in Tab.…”

Section: B Calculation Of the Effective Distancementioning

confidence: 99%

Production and attenuation of cosmic-ray boosted dark matter

Xia,

Xu,

Zhou

2021

Preprint

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Light sub-GeV halo dark matter (DM) particles up-scattered by high-energy cosmic-rays (CRs) (referred to as CRDM) can be energetic and become detectable by conventional DM direct detection experiments. We perform a refined analysis on the exclusion bounds of the spin-independent DMnucleon scattering cross section σ χp in this approach. For the exclusion lower bounds, we determine the parameter of the effective distance D eff for CRDM production using spatial-dependent CR fluxes and including the contributions from the major heavy CR nuclear species. We obtain D eff 9 kpc for CRDM particles with kinetic energy above ∼ 1 GeV, which pushes the corresponding exclusion lower bounds down to σ χp ∼ 4 × 10 −32 cm 2 for DM particle mass at MeV scale and below. For the exclusion upper bounds from Earth attenuation, previous estimations neglecting the nuclear form factor leaded to typical exclusion upper bounds of σ χp ∼ O(10 −28 ) cm 2 from the XENON1T data. Using both the analytic and numerical approaches, we show that for CRDM particles, the presence of the nuclear form factor strongly suppresses the effect of Earth attenuation. Consequently, the cross section that can be excluded by the XENON1T data can be a few orders of magnitude higher, which closes the gap in the cross sections excluded by the XENON1T experiment and that by the astrophysical measurements such that for the cosmic microwave background (CMB), galactic gas cloud cooling, and structure formation, etc..

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Energy spectra of abundant cosmic-ray nuclei in the NUCLEON experiment

Cited by 7 publications

References 0 publications

Constraints on the spatially dependent cosmic-ray propagation model from Bayesian Analysis

Constraints on the spatially dependent cosmic-ray propagation model from Bayesian Analysis

Cosmic ray models

Production and attenuation of cosmic-ray boosted dark matter

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