REVIEW 3 major objections 5 minor 73 references
Analyzing Cosmic Ray Spectral Features: A Numerical Investigation
T0 review · 3 major / 5 minor · reviewed 2026-07-11 · grok-4.5
Pith's one-line read Injection spectrum breaks, not diffusion alone, best match cosmic-ray hardening near 200 GV; a primary positron source is still required for the excess.
desk verdict Solid GALPROP v57 parameter update with MINUIT2; useful numbers, but sequential freeze-and-fit plus ad-hoc grouping leave the Case 1 vs 2/3 ranking less robust than claimed. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
Three nested GALPROP diffusion-plus-reacceleration-plus-convection models optimized by MINUIT2: Case 1 (diffusion break only), Case 2 (injection-spectrum breaks only), and Case 3 (both), later extended by a second high-energy injection break for protons and helium and a charge-symmetric primary positron source.
What would settle it
New high-precision spectra of carbon through iron that either show a clear softening near the same rigidity as protons and helium (producing a drop in the all-particle spectrum above 1 PeV) or continue to harden, which would keep the all-particle flux flat and force a different origin for the features.
Extended reading notes
Core claim
A pure high-rigidity diffusion-coefficient break under-produces the observed hardening in protons, helium, carbon, nitrogen, neon and electrons and yields flatter slopes for beryllium, boron, oxygen and sulfur. Injection-spectrum breaks alone, or a combination of injection breaks plus a milder diffusion break, reproduce the break and hardening for protons, helium, carbon, oxygen and sulfur and the electron excess above about 100 GeV. Neither scenario accounts for the antiproton excess above 100 GeV or the positron excess above 2 GeV without an additional charge-symmetric primary positron source; an extra injection break at tens of TV then fits the proton and helium softening.
Load-bearing premise
The sequential four-stage fit that freezes low-rigidity parameters before high-rigidity breaks are introduced, together with ad-hoc grouping of nuclei into common injection classes and exclusion of some data sets for normalization reasons, is assumed not to bias the recovered break locations and slopes.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript uses GALPROP v57 with its MINUIT2-based parameter optimization module to fit recent cosmic-ray data (AMS-02, CALET, CREAM, DAMPE, ISS-CREAM, NUCLEON, Voyager, ACE-CRIS) under a diffusion-reacceleration-convection model. Three scenarios for the ~200 GV spectral hardening are compared: (1) a high-rigidity break in the spatial diffusion coefficient, (2) breaks in the injection spectra of nuclei and electrons, and (3) a combination of both. An additional high-energy injection break is introduced for the p and He softening near 10–20 TV, and a charge-symmetric primary positron source (SNR spatial profile) is added for the positron excess. Best-fit parameters with formal errors are reported (Tables 2–7); elemental spectra, secondary-to-primary ratios, and the summed all-particle spectrum are compared to compiled data. The authors conclude that a pure diffusion break under-produces the observed hardening in several species while injection breaks (alone or combined) fare better, that neither explains the p-bar or e+ excesses without extra sources, and that the all-particle spectrum is an upper limit above ~200 TeV pending possible heavy-element softening.
Significance. If the ranking of the three hardening scenarios holds under joint re-optimization, the work supplies a useful, publicly reproducible update to earlier hand-tuned GALPROP studies (Wu et al. 2021; Chen et al. 2023). It incorporates newer CALET He and AMS-02 S data, reports formal MINUIT2 uncertainties, and produces an all-particle spectrum that can be compared directly with air-shower measurements. The explicit side-by-side comparison of diffusion-only versus injection-only versus hybrid models, together with the tabulated source abundances and break parameters, is a concrete resource for the multi-messenger community. The transparent listing of known limitations (Opt022 cross sections, force-field modulation, absence of break smoothing) further strengthens its utility as a baseline for future work.
major comments (3)
- Section 3.1–3.2 and Tables 5–6: the sequential four-stage procedure freezes the entire low-rigidity parameter set (D0, δ0, ρ0, δ1, vA, dV/dz, γ0, γ1, R0 and the nuclear grouping) obtained on data ≲200 GV before the high-rigidity breaks ρ1, δ2, R1, γ2 are optimized. Because the frozen low-energy parameters already absorb part of the spectral curvature, the subsequent optimizer is confined to a narrower region; the recovered Case-1 values (ρ1 = 226 GV, δ2 = 0.382) may therefore be artificially soft, making Case 1 appear worse than a simultaneous fit of all free parameters on the full rigidity range would. A joint re-optimization (or at least a sensitivity test that re-floats the Stage-1 parameters) is required before the ranking of the three scenarios can be regarded as robust.
- Section 3.1 and Table 5: the ad-hoc grouping of nuclei into common injection classes (He+CNO+Fe versus NeMgSiS) is performed after Stage 1 and then frozen. The claim that “injection breaks reproduce the AMS-02 spectral groups” is therefore partly by construction. The manuscript should either (i) demonstrate that the same grouping emerges when all nuclei are allowed independent R1, γ2 or (ii) quantify the χ² penalty of forcing the groups, so that the reader can judge whether the grouping is data-driven or imposed.
- Results (Figures 1–9) and Conclusion: no quantitative goodness-of-fit metric (total χ², reduced χ², or AIC/BIC) is reported for the three hardening scenarios on the common data set. Visual inspection alone cannot establish that Cases 2 and 3 are statistically preferred over Case 1, especially given the sequential freezing. A table of χ² (or equivalent) for each case on the Stage-2 data would make the central claim falsifiable.
minor comments (5)
- Abstract and §1: the DOI is written twice (“DOI: 10.1016/10.1016/j.asr.2025.08.050”); correct to the single proper form.
- Table 1 and §3.2: several data sets are excluded “due to absolute normalization issues” without quoting the magnitude of the offset or citing a reference that quantifies it; a short numerical statement would help the reader assess the impact.
- Figures 2, 4, 5, 10: the zoomed insets are useful but the axis labels and legend entries become cramped; increasing font size or moving the legend outside the panel would improve readability.
- §4.3: the statement that the all-particle spectrum is an “upper limit” above ~200 TeV is correct given the missing heavy-element softening, but the text should also note that the GALPROP energy ceiling (~1 PeV) itself truncates the calculation, so the comparison with air-shower data near the knee is only qualitative.
- Equation (3): the definition of ζ for two diffusion breaks is given, yet the numerical value of ζ actually used in the runs is never stated; reporting it would aid reproducibility.
Circularity Check
Multi-stage MINUIT2 χ² fits of the very break rigidities/indices that define the three hardening scenarios are then described as the models 'reproducing' those features; relative ranking of cases retains independent residual content.
-
fitted input called prediction
[Section 4 (Results of Stage 2) and discussion of Figures 1–9]
"All three cases reproduce the break and hardening in the B/C ratio data as seen in Figure 1. ... Cases 2 and 3 both reproduce the break and the spectral hardening in the p data. ... Cases 2 and 3 both reproduce the break and the spectral hardening in the He, C, O, and S data."
ρ₁, δ₂ (Case 1) and R₁, γ₂ (Cases 2/3) are free parameters varied by MINUIT2 to minimize χ² against precisely the high-rigidity AMS-02/CALET/CREAM/DAMPE spectra and ratios listed in Table 1 (Stage 2). The model curves therefore match the observed hardening by construction of the optimizer; the language of 'reproduce' equates a successful fit residual to an explanatory success without an independent prediction.
-
fitted input called prediction
[Section 4.1 (Proton and Helium Spectra / Stage 3)]
"The injection spectrum for p has a second injection spectral break R₂ at 13.89±0.02 TV with an injection spectral index of γ₃ = 2.334±0.029 above the break. The injection spectrum for He has a break R₂ at 20±1 TV and an index γ₃ of 2.188±0.049. ... The break R₂ and index γ₃ for p and He are consistent with these data."
R₂ and γ₃ are introduced as free parameters and optimized in Stage 3 exclusively against the high-rigidity p and He points from CALET, CREAM-I+III, DAMPE, ISS-CREAM and NUCLEON-KLEM. Consistency with those same points is therefore guaranteed by the χ² minimum; the statement presents a fitted input as an independent result.
1 more flagged steps
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fitted input called prediction
[Section 4.2 (Positron Spectrum / Stage 4) and Table 7]
"An introduction of a charge-symmetric primary source is able to describe the positron data. This source is also compatible with the negative e⁻ data."
The primary e⁺ injection breaks, indices and relative abundance (Table 7) are free parameters optimized in Stage 4 against the AMS-02 e⁺ (and e⁻) spectra. The claim that the source 'describes' the excess is therefore the fit itself, not a prediction tested on held-out data.
full rationale
The paper is an explicit numerical investigation that optimizes GALPROP diffusion and injection parameters against AMS-02/CALET/CREAM/DAMPE data via sequential MINUIT2 stages (low-rigidity freeze then high-rigidity breaks, then p/He softening, then primary e+). No first-principles derivation, uniqueness theorem, or external parameter-free prediction is claimed; the central scientific content is the comparative residual quality of three phenomenological break scenarios after optimization. Presenting the resulting curves as 'reproducing' or 'consistent with' the same data that entered the χ² therefore constitutes mild fitted-input-as-prediction circularity, but does not collapse the ranking of Case 1 versus Cases 2/3 (which still differs by residual mismatch). Self-citations to the authors' prior hand-tuned GALPROP runs are framed as methodological updates, not load-bearing uniqueness claims. Sequential freezing can bias absolute break values, yet that is a robustness concern rather than definitional circularity. Score 4 reflects partial presentation circularity while recognizing that the comparative claim retains independent content.
Assumptions & free parameters
free parameters (10)
- D0 (normalization of spatial diffusion at 10 GV) =
7.81±0.04e28 cm2/s
- δ0, ρ0, δ1 (low-rigidity diffusion indices and break) =
δ0=0.101±0.005, ρ0=6.78±0.06 GV, δ1=0.493±0.001
- v_Alfvén and dV_conv/dz =
16.9±0.2 km/s, 3.9±0.2 km/s/kpc
- Injection indices γ0, γ1 and break R0 for each nuclear group and e− =
see Table 3
- High-rigidity diffusion break ρ1 and index δ2 (Cases 1 & 3) =
Case1: 226±9 GV, 0.382±0.003; Case3: 201.8±0.3 GV, 0.446±0.004
- Injection break R1 and index γ2 for each nuclear group and e− (Cases 2 & 3) =
see Table 5
- Second injection break R2 and index γ3 for p and He =
p: 13.89±0.02 TV, 2.334±0.029; He: 20±1 TV, 2.188±0.049
- Primary e+ source abundance and its three spectral indices/breaks =
abundance 97.2±0.9; see Table 7
- Solar modulation potentials ϕ_AMS and ϕ_ACE =
533±2 MV, 500±10 MV
- Relative source abundances of He, C, N, O, Ne, Mg, Si, S, Fe =
see Table 4
assumptions (5)
- domain assumption Cosmic-ray transport is described by the standard GALPROP diffusion-reacceleration-convection equation (Eq. 1) with a static halo half-width of 7.5 kpc.
- domain assumption Solar modulation is adequately described by the force-field approximation with a single potential per data set.
- domain assumption Nuclear production and fragmentation cross-sections are given by GALPROP option Opt022 (Silberberg et al. phenomenological approximations).
- ad hoc to paper Nuclei can be grouped into a few common injection-spectral classes (CNO, NeSiS, etc.) that share the same breaks and indices.
- ad hoc to paper A second high-rigidity break can be inserted into the GALPROP diffusion coefficient by hand (modifying ζ in Dpp).
invented entities (1)
-
Charge-symmetric primary positron source with SNR spatial profile
Cite this review
Pith. "Pith review of Analyzing Cosmic Ray Spectral Features: A Numerical Investigation." pith.science (2026). https://pith.science/paper/5CX2FJW6
@misc{pith2026260705606,
author = {Pith},
title = {Pith review of: Analyzing Cosmic Ray Spectral Features: A Numerical Investigation},
year = {2026},
howpublished = {\url{https://pith.science/paper/5CX2FJW6}},
note = {Machine review of arXiv:2607.05606}
}
read the original abstract
Recent cosmic ray space-based and balloon-borne experiments have revealed various spectral features. Spectral hardening around ~200 GV has been seen in primary nuclei as well as secondaries produced during propagation. Proton spectrum softening at ~10 TV and helium spectrum softening at a few tens TV has also been seen. Additionally, a positron excess has been observed above ~25 GeV. The cosmic ray propagation code, GALPROP v57, was utilized to investigate the cause behind these features. A diffusion model with reacceleration and convection effects was used as a baseline. To find the best fit to the experimental data, GALPROP v57's parameter optimization module, utilizing the external numerical minimization software MINUIT2, was used. For the hardening, three scenarios were studied: (1) a diffusion coefficient break, (2) injection spectra breaks, and (3) a combination of both breaks. An additional injection spectrum break was considered to fit the softening of the proton and helium spectra. An additional positron source was introduced for the positron excess. The resulting elemental spectra and ratios, along with the all-particle spectrum, are compared to compiled cosmic ray data. Implications of these spectral features are also discussed.
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Works this paper leans on
-
[1]
Cosmic ray spectrum from 250 TeV to 10 PeV using IceTop
Aartsen, M. G. et al. (2020). “Cosmic ray spectrum from 250 TeV to 10 PeV using IceTop”.Physical Review D102 (12), p. 122001.doi:10.1103/PhysRevD.102.122001
-
[3]
Measurement of Separate Cosmic-Ray Electron and Positron Spectra with the Fermi Large Area Telescope
Ackermann, M. et al. (2012). “Measurement of Separate Cosmic-Ray Electron and Positron Spectra with the Fermi Large Area Telescope”.Physical Review Letters108 (1), p. 011103.doi:10.1103/PhysRevLett. 108.011103
-
[4]
An anomalous positron abundance in cosmic rays with energies 1.5-100 GeV
Adriani, O. et al. (2009). “An anomalous positron abundance in cosmic rays with energies 1.5-100 GeV”. Nature458.7238, pp. 607–609.doi:10.1038/nature07942
-
[5]
PAMELA Measurements of Cosmic-Ray Proton and Helium Spectra
Adriani, O. et al. (2011). “PAMELA Measurements of Cosmic-Ray Proton and Helium Spectra”.Science 332.6025, pp. 69–72.doi:10.1126/science.1199172
-
[6]
Measurement of Boron and Carbon Fluxes in Cosmic Rays with the PAMELA Experiment
Adriani, O. et al. (2014). “Measurement of Boron and Carbon Fluxes in Cosmic Rays with the PAMELA Experiment”.The Astrophysical Journal791.2, p. 93.doi:10.1088/0004-637X/791/2/93
-
[7]
Adriani, O. et al. (2020). “Direct Measurement of the Cosmic-Ray Carbon and Oxygen Spectra from 10 GeV/nto 2.2 TeV/nwith the Calorimetric Electron Telescope on the International Space Station”. Physical Review Letters125 (25), p. 251102.doi:10.1103/PhysRevLett.125.251102
-
[8]
Adriani, O. et al. (2021). “Measurement of the Iron Spectrum in Cosmic Rays from 10 GeV/nto 2.0 TeV/n with the Calorimetric Electron Telescope on the International Space Station”.Physical Review Letters 126 (24), p. 241101.doi:10.1103/PhysRevLett.126.241101
-
[9]
Adriani, O. et al. (2022a). “Cosmic-Ray Boron Flux Measured from 8.4 GeV/nto 3.8 TeV/nwith the Calorimetric Electron Telescope on the International Space Station”.Physical Review Letters129 (25), p. 251103.doi:10.1103/PhysRevLett.129.251103
Show all 73 references
-
[10]
Observation of Spectral Structures in the Flux of Cosmic-Ray Protons from 50 GeV to 60 TeV with the Calorimetric Electron Telescope on the International Space Station
Adriani, O. et al. (2022b). “Observation of Spectral Structures in the Flux of Cosmic-Ray Protons from 50 GeV to 60 TeV with the Calorimetric Electron Telescope on the International Space Station”.Physical Review Letters129 (10), p. 101102.doi:10.1103/PhysRevLett.129.101102
-
[11]
Direct Measurement of the Cosmic-Ray Helium Spectrum from 40 GeV to 250 TeV with the Calorimetric Electron Telescope on the International Space Station
Adriani, O. et al. (2023). “Direct Measurement of the Cosmic-Ray Helium Spectrum from 40 GeV to 250 TeV with the Calorimetric Electron Telescope on the International Space Station”.Physical Review Letters 130 (17), p. 171002.doi:10.1103/PhysRevLett.130.171002
2023 doi
-
[12]
Precision Measurement of the Proton Flux in Primary Cosmic Rays from Rigidity 1 GV to 1.8 TV with the Alpha Magnetic Spectrometer on the International Space Station
Aguilar, M. et al. (2015). “Precision Measurement of the Proton Flux in Primary Cosmic Rays from Rigidity 1 GV to 1.8 TV with the Alpha Magnetic Spectrometer on the International Space Station”.Physical Review Letters114 (17), p. 171103.doi:10.1103/PhysRevLett.114.171103. ©202...
2015 doi
-
[13]
Observation of the Identical Rigidity Dependence of He, C, and O Cosmic Rays at High Rigidities by the Alpha Magnetic Spectrometer on the International Space Station
Aguilar, M. et al. (2017). “Observation of the Identical Rigidity Dependence of He, C, and O Cosmic Rays at High Rigidities by the Alpha Magnetic Spectrometer on the International Space Station”.Physical Review Letters119 (25), p. 251101.doi:10.1103/PhysRevLett.119.251101
2017 doi
-
[14]
Observation of New Properties of Secondary Cosmic Rays Lithium, Beryllium, and Boron by the Alpha Magnetic Spectrometer on the International Space Station
Aguilar, M. et al. (2018a). “Observation of New Properties of Secondary Cosmic Rays Lithium, Beryllium, and Boron by the Alpha Magnetic Spectrometer on the International Space Station”.Physical Review Letters120 (2), p. 021101.doi:10.1103/PhysRevLett.120.021101
-
[15]
Precision Measurement of Cosmic-Ray Nitrogen and its Primary and Secondary Components with the Alpha Magnetic Spectrometer on the International Space Station
Aguilar, M. et al. (2018b). “Precision Measurement of Cosmic-Ray Nitrogen and its Primary and Secondary Components with the Alpha Magnetic Spectrometer on the International Space Station”.Physical Review Letters121 (5), p. 051103.doi:10.1103/PhysRevLett.121.051103
-
[16]
Towards Understanding the Origin of Cosmic-Ray Electrons
Aguilar, M. et al. (2019a). “Towards Understanding the Origin of Cosmic-Ray Electrons”.Physical Review Letters122 (10), p. 101101.doi:10.1103/PhysRevLett.122.101101
-
[17]
Towards Understanding the Origin of Cosmic-Ray Positrons
Aguilar, M. et al. (2019b). “Towards Understanding the Origin of Cosmic-Ray Positrons”.Physical Review Letters122 (4), p. 041102.doi:10.1103/PhysRevLett.122.041102
-
[18]
Properties of Neon, Magnesium, and Silicon Primary Cosmic Rays Results from the Alpha Magnetic Spectrometer
Aguilar, M. et al. (2020). “Properties of Neon, Magnesium, and Silicon Primary Cosmic Rays Results from the Alpha Magnetic Spectrometer”.Physical Review Letters124 (21), p. 211102.doi:10.1103/ PhysRevLett.124.211102
2020
-
[19]
Properties of Heavy Secondary Fluorine Cosmic Rays: Results from the Alpha Magnetic Spectrometer
Aguilar, M. et al. (2021a). “Properties of Heavy Secondary Fluorine Cosmic Rays: Results from the Alpha Magnetic Spectrometer”.Physical Review Letters126 (8), p. 081102.doi:10.1103/PhysRevLett.126. 081102
-
[20]
Properties of Iron Primary Cosmic Rays: Results from the Alpha Magnetic Spectrometer
Aguilar, M. et al. (2021b). “Properties of Iron Primary Cosmic Rays: Results from the Alpha Magnetic Spectrometer”.Physical Review Letters126 (4), p. 041104.doi:10.1103/PhysRevLett.126.041104
-
[21]
The Alpha Magnetic Spectrometer (AMS) on the international space station: Part II – Results from the first seven years
Aguilar, M. et al. (2021c). “The Alpha Magnetic Spectrometer (AMS) on the international space station: Part II – Results from the first seven years”.Physics Reports894, pp. 1–116.doi:10.1016/j.physrep. 2020.09.003
2020 doi
-
[22]
Aguilar, M. et al. (2023). “Properties of Cosmic-Ray Sulfur and Determination of the Composition of Pri- mary Cosmic-Ray Carbon, Neon, Magnesium, and Sulfur: Ten-Year Results from the Alpha Magnetic Spectrometer”.Physical Review Letters130 (21), p. 211002.doi:10.1103/PhysRevLe...
2023 doi
-
[24]
Energy Spectra of Cosmic-ray Nuclei at High Energies
Ahn, H. S. et al. (2009). “Energy Spectra of Cosmic-ray Nuclei at High Energies”.The Astrophysical Journal 707.1, pp. 593–603.doi:10.1088/0004-637X/707/1/593
2009 doi
-
[25]
Discrepant Hardening Observed in Cosmic-ray Elemental Spectra
Ahn, H. S. et al. (2010). “Discrepant Hardening Observed in Cosmic-ray Elemental Spectra”.The Astro- physical Journal714.1, pp. L89–L93.doi:10.1088/2041-8205/714/1/L89
2010 doi
-
[26]
Measurement of the Cosmic Ray Helium Energy Spectrum from 70 GeV to 80 TeV with the DAMPE Space Mission
Alemanno, F. et al. (2021). “Measurement of the Cosmic Ray Helium Energy Spectrum from 70 GeV to 80 TeV with the DAMPE Space Mission”.Physical Review Letters126 (20), p. 201102.doi:10.1103/ PhysRevLett.126.201102
2021
-
[27]
The All-Particle Spectrum of Primary Cosmic Rays in the Wide Energy Range from 1014 to 1017 eV Observed with the Tibet-III Air-Shower Array
Amenomori, M. et al. (2008). “The All-Particle Spectrum of Primary Cosmic Rays in the Wide Energy Range from 1014 to 1017 eV Observed with the Tibet-III Air-Shower Array”.The Astrophysical Journal 678.2, pp. 1165–1179.doi:10.1086/529514
2008 doi
-
[28]
Measurement of the cosmic ray proton spectrum from 40 GeV to 100 TeV with the DAMPE satellite
An, Q. et al. (2019). “Measurement of the cosmic ray proton spectrum from 40 GeV to 100 TeV with the DAMPE satellite”.Science Advances5.9, eaax3793.doi:10.1126/sciadv.aax3793
2019 doi
-
[29]
Energy Spectrum and Chemical Composition of Cosmic Rays between 0.3 and 10 PeV determined from the Cherenkov-Light and Charged-Particle distributions in Air Showers
Arqueros, F. et al. (2000). “Energy Spectrum and Chemical Composition of Cosmic Rays between 0.3 and 10 PeV determined from the Cherenkov-Light and Charged-Particle distributions in Air Showers”. Astronomy & Astrophysics359, pp. 682–694.doi:10.48550/arXiv.astro-ph/9908202. Art...
-
[30]
Berezinskii, V. S. et al. (1990).Astrophysics of cosmic rays. Amsterdam: North Holland
1990
-
[31]
The Cosmic-Ray Electron and Positron Spectra Measured at 1 AU during Solar Minimum Activity
Boezio, M. et al. (2000). “The Cosmic-Ray Electron and Positron Spectra Measured at 1 AU during Solar Minimum Activity”.The Astrophysical Journal532.1, pp. 653–669.doi:10.1086/308545. ©2026. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.20
2000 doi
-
[32]
Deciphering the Local Interstellar Spectra of Secondary Nuclei with the Gal- prop/Helmod Framework and a Hint for Primary Lithium in Cosmic Rays
Boschini, M. J. et al. (2020a). “Deciphering the Local Interstellar Spectra of Secondary Nuclei with the Gal- prop/Helmod Framework and a Hint for Primary Lithium in Cosmic Rays”.The Astrophysical Journal 889.2, p. 167.doi:10.3847/1538-4357/ab64f1
-
[33]
Inference of the Local Interstellar Spectra of Cosmic-Ray Nuclei Z≤28 with the GALPROP-HELMOD Framework
Boschini, M. J. et al. (2020b). “Inference of the Local Interstellar Spectra of Cosmic-Ray Nuclei Z≤28 with the GALPROP-HELMOD Framework”.The Astrophysical Journal250.2, p. 27.doi:10.3847/1538- 4365/aba901
-
[34]
Propagation of cosmic rays in heliosphere: The HelMod model
Boschini, M. et al. (2018). “Propagation of cosmic rays in heliosphere: The HelMod model”.Advances in Space Research62.10. Origins of Cosmic Rays, pp. 2859–2879.doi:10.1016/j.asr.2017.04.017
2018 doi
-
[35]
AMS-02 antiprotons’ consistency with a secondary astrophysical origin
Boudaud, M. et al. (2020). “AMS-02 antiprotons’ consistency with a secondary astrophysical origin”.Physical Review Research2 (2), p. 023022.doi:10.1103/PhysRevResearch.2.023022
2020 doi
-
[36]
Investigating cosmic ray elemental spectra and the at- mospheric muon neutrino flux
Bowman, D. P., Scrandis, R., and Seo, E.-S. (2022). “Investigating cosmic ray elemental spectra and the at- mospheric muon neutrino flux”.Advances in Space Research70.9. Astrophysics of Cosmic Rays, pp. 2703– 2713.doi:10.1016/j.asr.2022.07.037
2022 doi
-
[37]
Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A
Cao, Z. et al. (2024). “Measurements of All-Particle Energy Spectrum and Mean Logarithmic Mass of Cosmic Rays from 0.3 to 30 PeV with LHAASO-KM2A”.Physical Review Letters132 (13), p. 131002. doi:10.1103/PhysRevLett.132.131002
2024 doi
-
[38]
An excess of cosmic ray electrons at energies of 300-800 GeV
Chang, J. et al. (2008). “An excess of cosmic ray electrons at energies of 300-800 GeV”.Nature456.7220, pp. 362–365.doi:10.1038/nature07477
2008 doi
-
[39]
Studies of Cosmic-Ray Propagation Using GALPROP
Chen, Y. C. et al. (2023). “Studies of Cosmic-Ray Propagation Using GALPROP”.Proceedings of the 38th International Cosmic Ray Conference — PoS(ICRC2023)444, p. 69.doi:10.22323/1.444.0069
2023 doi
-
[40]
Measurement of High-energy Cosmic-Ray Proton Spectrum from the ISS-CREAM Experiment
Choi, G. H. et al. (2022). “Measurement of High-energy Cosmic-Ray Proton Spectrum from the ISS-CREAM Experiment”.The Astrophysical Journal940.2, p. 107.doi:10.3847/1538-4357/ac9d2c
2022 doi
-
[41]
Galactic Cosmic Rays in the Local Interstellar Medium: Voyager 1 Observa- tions and Model Results
Cummings, A. C. et al. (2016). “Galactic Cosmic Rays in the Local Interstellar Medium: Voyager 1 Observa- tions and Model Results”.The Astrophysical Journal831.1, p. 18.doi:10.3847/0004-637X/831/1/18. DAMPE Collaboration (2022). “Detection of spectral hardenings in cosmic-ray ...
2016 doi
-
[42]
Fitting B/C cosmic-ray data in the AMS-02 era: a cookbook. Model numerical pre- cision, data covariance matrix of errors, cross-section nuisance parameters, and mock data
Derome, L. et al. (2019). “Fitting B/C cosmic-ray data in the AMS-02 era: a cookbook. Model numerical pre- cision, data covariance matrix of errors, cross-section nuisance parameters, and mock data”.Astronomy & Astrophysics627, A158.doi:10.1051/0004-6361/201935717. Di Mauro, M...
2019 doi
-
[43]
Cosmic-Ray Electrons and Positrons from 1 to 100 GeV: Measurements with HEAT and Their Interpretation
DuVernois, M. A. et al. (2001). “Cosmic-Ray Electrons and Positrons from 1 to 100 GeV: Measurements with HEAT and Their Interpretation”.The Astrophysical Journal559.1, pp. 296–303.doi:10.1086/322324
2001 doi
-
[44]
Charge composition and energy spectra of cosmic-ray nuclei for elements from Be to Ni - Results from HEAO-3-C2
Engelmann, J. J. et al. (1990). “Charge composition and energy spectra of cosmic-ray nuclei for elements from Be to Ni - Results from HEAO-3-C2.”Astronomy & Astrophysics233, pp. 96–111.url:https: //articles.adsabs.harvard.edu/pdf/1990A%26A...233...96E
1990
-
[45]
Cosmic ray energy spectrum from measurements of air showers
Gaisser, T. K., Stanev, T., and Tilav, S. (2013). “Cosmic ray energy spectrum from measurements of air showers”.Frontiers of Physics8.6, pp. 748–758.doi:10.1007/s11467-013-0319-7. G´ enolini, Y. et al. (2018). “Current status and desired precision of the isotopic production cr...
2013 doi
-
[46]
The cosmic ray energy spectrum between 10 14 and 1016 eV
Glasmacher, M. et al. (1999). “The cosmic ray energy spectrum between 10 14 and 1016 eV”.Astroparticle Physics10.4, pp. 291–302.doi:10.1016/S0927-6505(98)00070-X
1999 doi
-
[47]
Solar Modulation of Galactic Cosmic Rays
Gleeson, L. J. and Axford, W. I. (1968). “Solar Modulation of Galactic Cosmic Rays”.The Astrophysical Journal154, pp. 1011–1026.doi:10.1086/149822
1968 doi
-
[48]
Energy spectra of abundant cosmic-ray nuclei in the NUCLEON experiment
Grebenyuk, V. et al. (2019). “Energy spectra of abundant cosmic-ray nuclei in the NUCLEON experiment”. Advances in Space Research64.12, pp. 2546–2558.doi:10.1016/j.asr.2019.10.004
2019 doi
-
[49]
Measurements of the absolute energy spectra of cosmic-ray positrons and electrons above 7 GeV
Grimani, C. et al. (2002). “Measurements of the absolute energy spectra of cosmic-ray positrons and electrons above 7 GeV”.Astronomy & Astrophysics392, pp. 287–294.doi:10.1051/0004-6361:20020845
2002 doi
-
[50]
Observation of heavy cosmic-ray primaries over the wide energy range from ∼100 GeV/particle to∼100 TeV/particle: Is the celebrated
Ichimura, M. et al. (1993). “Observation of heavy cosmic-ray primaries over the wide energy range from ∼100 GeV/particle to∼100 TeV/particle: Is the celebrated ”knee” actually so prominent?”Physical Review D48 (5), pp. 1949–1975.doi:10.1103/PhysRevD.48.1949
1993 doi
-
[51]
(1998).MINUIT – Function Minimization and Error Analysis: Reference Manual Version 94.1
James, F. (1998).MINUIT – Function Minimization and Error Analysis: Reference Manual Version 94.1. CERN Program Library Long Writeup D506. Geneva: CERN.url:https://cds.cern.ch/record/ 2296388/files/minuit.pdf
1998
-
[52]
Minuit - a system for function minimization and analysis of the parameter errors and correlations
James, F. and Roos, M. (1975). “Minuit - a system for function minimization and analysis of the parameter errors and correlations”.Computer Physics Communications10.6, pp. 343–367.doi:10.1016/0010- 4655(75)90039-9. J´ ohannesson, G. et al. (2016). “Bayesian Analysis of Cosmic ...
1975 doi
-
[53]
Azimuthally controlled observation of heavy cosmic-ray primaries by means of the balloon-borne emulsion chamber
Kamioka, E. et al. (1997). “Azimuthally controlled observation of heavy cosmic-ray primaries by means of the balloon-borne emulsion chamber”.Astroparticle Physics6.2, pp. 155–167.doi:10.1016/S0927- 6505(96)00051-5
1997 doi
-
[54]
On the Origin of Observed Cosmic-Ray Spectrum Below 100 TV
Malkov, M. A. and Moskalenko, I. V. (2022). “On the Origin of Observed Cosmic-Ray Spectrum Below 100 TV”.The Astrophysical Journal933.1, p. 78.doi:10.3847/1538-4357/ac7049
2022 doi
-
[55]
(2018).USINE Documentation: Section 5.4
Maurin, D. (2018).USINE Documentation: Section 5.4. Cosmic ray data.url:https://dmaurin.gitlab. io/USINE/input_cr_data.html(visited on 05/06/2025)
2018
-
[56]
Explaining cosmic ray antimatter with secondaries from old supernova remnants
Mertsch, P., Vittino, A., and Sarkar, S. (2021). “Explaining cosmic ray antimatter with secondaries from old supernova remnants”.Physical Review D104 (10), p. 103029.doi:10.1103/PhysRevD.104.103029
2021 doi
-
[57]
The all-particle cosmic ray energy spectrum measured with HAWC
Morales-Soto, J. A. et al. (2022). “The all-particle cosmic ray energy spectrum measured with HAWC”. Proceedings of the 37th International Cosmic Ray Conference — PoS(ICRC2021)395, p. 330.doi: 10.22323/1.395.0330
2022 doi
-
[58]
Production and Propagation of Cosmic-Ray Positrons and Electrons
Moskalenko, I. V. and Strong, A. W. (1998). “Production and Propagation of Cosmic-Ray Positrons and Electrons”.The Astrophysical Journal493.2, p. 694.doi:10.1086/305152
1998 doi
-
[59]
Energy Spectra and Composition of Primary Cosmic Rays
Mueller, D. et al. (1991). “Energy Spectra and Composition of Primary Cosmic Rays”.The Astrophysical Journal374, pp. 356–365.doi:10.1086/170125
1991 doi
-
[60]
Energy Spectra of Primary and Secondary Cosmic-Ray Nuclei Measured with TRACER
Obermeier, A. et al. (2011). “Energy Spectra of Primary and Secondary Cosmic-Ray Nuclei Measured with TRACER”.The Astrophysical Journal742.1, p. 14.doi:10.1088/0004-637X/742/1/14
2011 doi
-
[61]
Relative abundances of cosmic ray nuclei B-C-N-O in the energy region from 10 GeV/n to 300 GeV/n. Results from ATIC-2 (the science flight of ATIC)
Panov, A. D. et al. (2008). “Relative abundances of cosmic ray nuclei B-C-N-O in the energy region from 10 GeV/n to 300 GeV/n. Results from ATIC-2 (the science flight of ATIC)”.Proceedings of the 30th International Cosmic Ray Conference — PoS(ICRC2007)2, pp. 3–6.doi:10.48550/a...
-
[62]
Energy spectra of abundant nuclei of primary cosmic rays from the data of ATIC-2 experiment: Final results
Panov, A. D. et al. (2009). “Energy spectra of abundant nuclei of primary cosmic rays from the data of ATIC-2 experiment: Final results”.Bulletin of the Russian Academy of Sciences: Physics73.5, pp. 564– 567.doi:10.3103/s1062873809050098
2009 doi
-
[63]
The GALPROP Cosmic-ray Propagation and Nonthermal Emissions Framework: Release v57
Porter, T. A., J´ ohannesson, G., and Moskalenko, I. V. (2022). “The GALPROP Cosmic-ray Propagation and Nonthermal Emissions Framework: Release v57”.The Astrophysical Journal Supplement Series262.1, p. 30.doi:10.3847/1538-4365/ac80f6
2022 doi
-
[64]
Tunka-133: Results of 3 year operation
Prosin, V. V. et al. (2014). “Tunka-133: Results of 3 year operation”.Nuclear Instruments and Methods in Physics Research A756, pp. 94–101.doi:10.1016/j.nima.2013.09.018
2014 doi
-
[65]
Stochastic Reacceleration of Cosmic Rays in the Interstellar Medium
Seo, E. S. and Ptuskin, V. S. (1994). “Stochastic Reacceleration of Cosmic Rays in the Interstellar Medium”. The Astrophysical Journal431, pp. 705–714.doi:10.1086/174520. ©2026. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.22
1994 doi
-
[66]
Advances in direct measurements of cosmic rays
Seo, E.-S. (2021). “Advances in direct measurements of cosmic rays”.Journal of Korean Physical Society 78.10, pp. 923–931.doi:10.1007/s40042-021-00081-7
2021 doi
-
[67]
Measurements of 0.2-20 GeV/n cosmic-ray proton and helium spectra from 1997 through 2002 with the BESS spectrometer
Shikaze, Y. et al. (2007). “Measurements of 0.2-20 GeV/n cosmic-ray proton and helium spectra from 1997 through 2002 with the BESS spectrometer”.Astroparticle Physics28.1, pp. 154–167.doi:10.1016/j. astropartphys.2007.05.001
2007 doi
-
[68]
Updated Partial Cross Sections of Proton-Nucleus Reactions
Silberberg, R., Tsao, C. H., and Barghouty, A. F. (1998). “Updated Partial Cross Sections of Proton-Nucleus Reactions”.The Astrophysical Journal501.2, pp. 911–919.doi:10.1086/305862
1998 doi
-
[69]
Voyager 1 Observes Low-Energy Galactic Cosmic Rays in a Region Depleted of Heliospheric Ions
Stone, E. C. et al. (2013). “Voyager 1 Observes Low-Energy Galactic Cosmic Rays in a Region Depleted of Heliospheric Ions”.Science341.6142, pp. 150–153.doi:10.1126/science.1236408
2013 doi
-
[70]
Cosmic ray measurements from Voyager 2 as it crossed into interstellar space
Stone, E. C. et al. (2019). “Cosmic ray measurements from Voyager 2 as it crossed into interstellar space”. Nature Astronomy3, pp. 1013–1018.doi:10.1038/s41550-019-0928-3
2019 doi
-
[71]
Propagation of Cosmic-Ray Nucleons in the Galaxy
Strong, A. W. and Moskalenko, I. V. (1998). “Propagation of Cosmic-Ray Nucleons in the Galaxy”.The Astrophysical Journal509.1, p. 212.doi:10.1086/306470
1998 doi
-
[72]
Sharp knee phenomenon of primary cosmic ray energy spectrum
Ter-Antonyan, S. (2014). “Sharp knee phenomenon of primary cosmic ray energy spectrum”.Physical Review D89 (12), p. 123003.doi:10.1103/PhysRevD.89.123003
2014 doi
-
[73]
Study Of Cosmic Ray Spectral Hardening Using GALPROP
Wu, H., Seo, E.-S., and Ptuskin, V. (2021). “Study Of Cosmic Ray Spectral Hardening Using GALPROP”. Proceedings of the 37th International Cosmic Ray Conference — PoS(ICRC2021)395, p. 155.doi: 10.22323/1.395.0155
2021 doi
-
[74]
Cosmic-ray Proton and Helium Spectra from the First CREAM Flight
Yoon, Y. S. et al. (2011). “Cosmic-ray Proton and Helium Spectra from the First CREAM Flight”.The Astrophysical Journal728.2, p. 122.doi:10.1088/0004-637X/728/2/122
2011 doi
-
[75]
Proton and Helium Spectra from the CREAM-III Flight
Yoon, Y. S. et al. (2017). “Proton and Helium Spectra from the CREAM-III Flight”.The Astrophysical Journal839.1, p. 5.doi:10.3847/1538-4357/aa68e4. ©2026. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.23
2017 doi
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