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arxiv: 1907.04922 · v1 · pith:AYL7PWAJnew · submitted 2019-07-10 · ⚛️ nucl-th

Transformations of mass/charges fission fragments spectra with consideration the postfission emission of nuclear particles: 232Th

Pith reviewed 2026-05-24 23:08 UTC · model grok-4.3

classification ⚛️ nucl-th
keywords fission232Thmass yieldscharge yieldspost-scission emissionstatistical modelsymmetric fissionasymmetric fission
0
0 comments X

The pith

A statistical approach reveals how post-scission emissions of neutrons and beta particles transform the mass and charge yields of fission fragments from 232Th.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces a statistical method for modeling the effects of emitting chains of neutrons and beta particles after fission on the yields of fragment masses and charges in 232Th. It uses this to explore changes in the distribution topology and the competition between symmetric and asymmetric fission modes for this borderline isotope. The method identifies the most probable fragment pairs for different emission chain lengths along with their stability. These transformations are key for understanding experimental fission data. A sympathetic reader would care because it provides a way to adjust theoretical yields to match real observations involving particle emissions.

Core claim

Using a statistical approach on the 232Th isotope, the post-scission emission of different length chains of neutrons and beta particles transforms the mass and charge yields of fission fragments, changing the topology of the yields and the role of symmetric versus asymmetric modes. The method determines the most probable two fission fragments clusters for varying chain lengths and their stability parameters.

What carries the argument

Statistical transformation of fission fragment yields by varying lengths of emitted neutron and beta particle chains to identify stable clusters.

If this is right

  • The topology of mass and charge yields changes with different emission chain lengths.
  • Emission processes influence the competition between symmetric and asymmetric fission modes.
  • Most probable fragment clusters can be identified based on chain length and stability.
  • These results help interpret experimental fission data for 232Th.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The approach might apply to other nuclei near the pre-actinide to actinide transition for similar yield transformations.
  • Predicted stable clusters could be tested against shell model predictions for magic numbers.
  • If validated, it could improve simulations of fission in nuclear reactors or astrophysical environments.

Load-bearing premise

The statistical transformations reliably capture the effects of postfission particle emissions on yields without needing detailed nuclear structure inputs for 232Th.

What would settle it

Direct comparison of the model's predicted yield distributions for specific emission chain lengths with high-resolution experimental mass and charge spectra from 232Th fission would falsify the claim if they do not match.

read the original abstract

The possibilities of the proposed statistical approach are shown in the task of investigating the post-scission transformation of mass and charge yields of fission fragments with considering the emission of different length of chains of elementary particles as the beta particles and neutrons fission. Using as the example the 232 Th isotope, which is located on the border between pre-actinide and actinides nuclei, the changes in the topology of fission fragments yields, the role of emission of nuclear particles in the competition of symmetric and asymmetric modes in fission processes are investigated. The proposed method allows one to determine the most probable two fission's fragments clusters, obtained in considering the different chain's length of emitted nuclear particles and the parameters of their stability. All these results are essential when interpreting the experimental data.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 2 minor

Summary. The paper proposes a statistical approach to model post-scission transformations of mass and charge yields of fission fragments from 232Th by varying the lengths of emitted neutron and beta-particle chains. It examines resulting changes in yield topology, the competition between symmetric and asymmetric fission modes, and claims to identify the most probable fragment clusters using generic stability parameters, with results intended to aid interpretation of experimental data.

Significance. If the statistical mapping were shown to be independent of ad-hoc parameterizations and validated against measured pre- and post-neutron yields for 232Th, the method could provide a useful tool for disentangling post-fission emission effects from primary fission-mode competition in nuclei near the pre-actinide/actinide transition. No such validation, equations, or 232Th-specific inputs are supplied, so the claimed significance cannot be assessed.

major comments (3)
  1. [Abstract] Abstract: the assertion that the method 'allows one to determine the most probable two fission's fragments clusters' and reveals the role of emission in mode competition is presented without any equations, transformation formulas, stability-parameter definitions, or numerical examples, rendering the central claim unevaluable.
  2. [Methods (implied)] No section supplies the statistical mapping that converts initial yields into post-emission yields while varying chain length; without this, it is impossible to determine whether observed topology changes arise from physical emission probabilities or from the chosen parameterization of chain lengths.
  3. [Results/Discussion (implied)] The manuscript contains no reference to 232Th fission barriers, level densities, or measured pre-neutron mass/charge distributions as anchors; therefore the claim that emission-chain effects alone govern the shift between symmetric and asymmetric modes rests on an untested assumption.
minor comments (2)
  1. [Abstract] Abstract: 'two fission's fragments clusters' is grammatically incorrect; rephrase for clarity.
  2. [Title/Abstract] The title and abstract use 'postfission' and 'post-scission' inconsistently; adopt a single convention.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the detailed comments, which highlight areas where the manuscript can be clarified and strengthened. We address each major comment below and indicate planned revisions.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the assertion that the method 'allows one to determine the most probable two fission's fragments clusters' and reveals the role of emission in mode competition is presented without any equations, transformation formulas, stability-parameter definitions, or numerical examples, rendering the central claim unevaluable.

    Authors: We agree that the abstract is overly concise and does not include the requested details. The full text describes the statistical approach and stability parameters, but to make the central claims immediately evaluable we will expand the abstract with the key transformation formulas, definitions of stability parameters, and a brief numerical illustration of cluster identification. revision: yes

  2. Referee: [Methods (implied)] No section supplies the statistical mapping that converts initial yields into post-emission yields while varying chain length; without this, it is impossible to determine whether observed topology changes arise from physical emission probabilities or from the chosen parameterization of chain lengths.

    Authors: The manuscript presents the statistical mapping through successive application of yield transformations under varying neutron and beta chain lengths, but the description is implicit rather than explicit. We will add a dedicated methods subsection that supplies the explicit transformation equations, the parameterization of chain lengths, and a discussion of how the chosen lengths are used to explore topology changes. revision: yes

  3. Referee: [Results/Discussion (implied)] The manuscript contains no reference to 232Th fission barriers, level densities, or measured pre-neutron mass/charge distributions as anchors; therefore the claim that emission-chain effects alone govern the shift between symmetric and asymmetric modes rests on an untested assumption.

    Authors: The work is a post-scission statistical mapping that explores the consequences of different emission-chain lengths on observed yields; it does not model the primary fission process itself and therefore does not invoke fission barriers or level densities. We acknowledge that the manuscript would benefit from explicit anchoring to known 232Th pre-neutron data. We will add references to measured pre-neutron distributions and a clearer statement of the assumptions, while preserving the focus on post-scission transformations. revision: partial

Circularity Check

0 steps flagged

No circularity: statistical transformation method uses explicit variable chain lengths as inputs without reducing outputs to those inputs by definition or self-citation.

full rationale

The abstract describes a statistical approach that takes post-scission emission chain lengths and stability parameters as variable inputs to transform mass/charge yields for 232Th and identify probable fragment clusters. No equations, fitted parameters, or self-citations are quoted that would make any 'prediction' equivalent to the input by construction. The central claim concerns the effects of varying those inputs on yield topology and mode competition; this remains an independent mapping rather than a renaming or self-definition. No load-bearing uniqueness theorem or ansatz is invoked from prior author work. The derivation is therefore self-contained against the stated inputs.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only review yields no identifiable free parameters, axioms, or invented entities; no equations or modeling details are supplied.

pith-pipeline@v0.9.0 · 5687 in / 979 out tokens · 36231 ms · 2026-05-24T23:08:23.304109+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

21 extracted references · 21 canonical work pages

  1. [1]

    Denisov V., Margitych T., and Sedykh I., Mass yields and kinetic energy of fragments from fission of highly;excited nuclei with A ≲220. Nucl. Phys. A, 958 (2017) 101

  2. [2]

    Nath, and Santanu Pal, Fusion probability in heavy nuclei

    Tathagata Banerjee, S. Nath, and Santanu Pal, Fusion probability in heavy nuclei. Physical Review C, 99 (2019) 024610

  3. [3]

    Physical Review C, 99 (2019) 064606

    Carjan N., Ivanyuk F.A., and Oganessian Yu.Ts., Fission of superheavy nuclei: Fragment mass distributions and their dependence on excitation energy. Physical Review C, 99 (2019) 064606

  4. [4]

    Andreyev A., Nishio K., and Schmidt K.;H., Nuclear fission: a review of experimental advances and phenomenology. Rep. Prog. Phys., 81 (2018) 016301

  5. [5]

    radiation weather

    Svatiuk N.I., Maslyuk V.T., Symkanich O.I Radiological monitoring, concept: "radiation weather" and "radiation identification of the environment". Uzhhorod University Scientific Herald. Series Physics, 44 (2018) 99. (in Ukraine)

  6. [6]

    Fragments of nuclear fission

    Gangrsky Yu.P., Dahsuren B., Markov B.N. Fragments of nuclear fission. M.: Energoatomizdat, (1986) 172 p. (in Russian)

  7. [7]

    Physical Review C, 99 (2019) 024611

    Regnier D., Dubray N., Schunck N., From asymmetric to symmetric fission in the fermium isotopes within the time;dependent generator;coordinate;method formalism. Physical Review C, 99 (2019) 024611

  8. [8]

    Problems of nuclear physics and nuclear reactions: monograph

    Denisov V.Yu., Plyuyko V.A. Problems of nuclear physics and nuclear reactions: monograph. K.: Kiev University Publishing and Printing Center (2013) 430 p. (in Russian)

  9. [9]

    Schmidt K.;H., Jurado B., Review on the progress in nuclear fission;experimental methods and theoretical descriptions. Rep. Prog. Phys., 81 (2018) 106301

  10. [10]

    A., Ishizuka C., Usang M

    Ivanyuk F. A., Ishizuka C., Usang M. D., and Chiba S., Temperature dependence of shell corrections. Phys. Rev. C, 97 (2018) 054331

  11. [11]

    Exotic nuclear physics

    Mukhin K.N., Patarakin O.O. Exotic nuclear physics. Phys. Usp., 170, 8 (2000) 799

  12. [12]

    T., Parlag O

    Maslyuk V. T., Parlag O. A. and Marinets T. I., Study of mass spectra of light;actinide fission isotopes Kr and Xe in the framework of a new statistical approach. Physics of Particles and Nuclei Letters, Vol. 4 (2007) 78

  13. [13]

    Lemaître J.;F., Goriely S., Hilaire S., Sida J.;L., Fully microscopic scission;point model to predict fission fragment observables. Phys. Rev. C, 99 (2019) 034612

  14. [14]

    Nuclear Physics, 955 (2016) 79

    Maslyuk V.T., Parlag O.A., Lendyel O.I., Marynets T.I., Romanyuk M.I., Shevchenko O.S., Ranyuk Ju.Ju., Dovbnya A.M., Calculation of the fission;fragment yields of the pre;actinide by the example of the natPb isotopes. Nuclear Physics, 955 (2016) 79

  15. [15]

    and Romanyuk M., New Statistical Methods for Systematizing the Nuclei Fission Fragments: Post;Scission Approach Journal of Modern Physics, 4 (2013) 1555

    Maslyuk V.T., Parlag O.A., Marinets T.I. and Romanyuk M., New Statistical Methods for Systematizing the Nuclei Fission Fragments: Post;Scission Approach Journal of Modern Physics, 4 (2013) 1555

  16. [16]

    and Povkhan I.F., Schottky;like phase transition in the fission of atomic nuclei: 235 U

    Maslyuk V.T., Parlag O.A., Romanyuk M.I., Lendyel O.I., Marinetc T.J., Laver O.G. and Povkhan I.F., Schottky;like phase transition in the fission of atomic nuclei: 235 U. Phys. Rev. C, 98 (2018) 064608

  17. [17]

    Theory of nucleus

    Sitenko OG, Tartakovsky V.K. Theory of nucleus. K., Lebid (2000) 607 p. (in Russian)

  18. [18]

    Statistical Physics of Materials,” John Wiley & Sons, New York, 1973

    Zhirifalko L. Statistical Physics of Materials,” John Wiley & Sons, New York, 1973

  19. [19]

    Naik H. and Goswami A., Kim G.N., Lee M.W., and Kim K.S., Suryanarayana S.V., Kim E.A., Shin S.G., and Cho M.;H., Mass;yield distributions of fission products from photofission of 232Th induced by 45; and 80;MeV bremsstrahlung. Phys. Rev. C, 86 (2012) 054607

  20. [20]

    and Naimi S

    Audi G., Kondev F., Wang M., Huang W. and Naimi S. The NUBASE2016 evaluation of nuclear properties. Chinese Physics C, 41 (2017) 030001

  21. [21]

    and Pfeiffer B., The Ame2012 atomic mass evaluation

    Audi G., Wang M., Wapstra A., Kondev F., MacCormick M., Xu X. and Pfeiffer B., The Ame2012 atomic mass evaluation. Chin. Phys. C, 36 (2012) 1287