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arxiv: 2605.20432 · v1 · pith:WUDTRJXEnew · submitted 2026-05-19 · ⚛️ physics.plasm-ph · nucl-ex

NeSST: A Python Tool for Neutron Spectra and Synthetic Diagnostics in Inertial Confinement Fusion

Aidan Crilly This is my paper

Pith reviewed 2026-05-21 07:09 UTC · model grok-4.3

classification ⚛️ physics.plasm-ph nucl-ex
keywords neutron spectrainertial confinement fusionsynthetic diagnosticsENDF cross sectionsneutron time-of-flightICF implosionsscattering kernelsLegendre expansions
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The pith

NeSST is a Python tool that constructs primary and singly scattered neutron spectra from ICF implosions using ENDF cross sections, relativistic kinematics, Legendre expansions for asymmetries, and ion-velocity kernels.

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

The paper presents NeSST, an open-source Python package for rapidly building primary and scattered neutron spectra in inertial confinement fusion implosions. It evaluates spectra for DT, DD, and TT reactions plus scattering from ablator materials by directly reading ENDF libraries for elastic and inelastic cross sections. Features include relativistic corrections to scattering kinematics, Legendre mode expansions to capture areal density asymmetries from implosion non-uniformities, and pre-computed kernels that account for ion velocities shaping the backscatter edge. A synthetic neutron time-of-flight module then converts the energy spectra into detector signals that include configurable instrument responses, scintillator sensitivity, and beamline attenuation. This matters because neutron spectra serve as primary diagnostics for fusion performance, and a fast, configurable tool supports analysis and fitting without full transport simulations.

Core claim

NeSST reads differential and total nuclear cross sections from ENDF libraries to compute elastic scattering such as nD and nT along with inelastic channels like D(n,2n)p and T(n,2n)D for DT fuel and additional ablator materials such as 12C. The code applies relativistic corrections to elastic scattering kinematics, incorporates areal density asymmetries through a Legendre mode expansion of the neutron-averaged projected areal density, handles the effect of scattering ion velocities on the neutron backscatter edge via pre-computed velocity-dependent kernels, and converts the resulting energy spectra into synthetic nToF signals using a full forward model with instrument response functions,能量 -

What carries the argument

NeSST itself, which combines ENDF-sourced cross sections with a single-scattering framework, Legendre expansions for areal-density asymmetries, and pre-computed ion-velocity kernels to generate spectra and synthetic diagnostics.

If this is right

  • Spectral signatures of implosion non-uniformities can be computed and fitted directly from measured neutron spectra.
  • Synthetic nToF detector signals can be generated that include full instrument response, energy-dependent scintillator sensitivity, and beamline attenuation.
  • Scattering contributions from ablator materials such as carbon can be treated in the same framework as fuel scattering.
  • Relativistic kinematics improve the modeling of high-energy neutron scattering edges.

Where Pith is reading between the lines

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

  • The open-source release allows rapid iteration on diagnostic interpretation for ongoing ICF experiments at facilities that record nToF data.
  • Integration with hydrodynamic simulation outputs could enable parameter studies of how implosion asymmetries translate into observable neutron spectra.
  • The modular structure supports extension to additional reaction channels or multi-scatter corrections if experimental data require them.

Load-bearing premise

Single scattering dominates the relevant spectral features and Legendre expansions of neutron-averaged projected areal density plus pre-computed velocity kernels sufficiently capture non-uniformity and backscatter edge effects without requiring full Monte Carlo transport.

What would settle it

A direct comparison of NeSST-generated backscatter edges and asymmetry signatures against full Monte Carlo neutron transport results for the same asymmetric ICF implosion conditions would show clear discrepancies if the single-scattering and Legendre approximations are insufficient.

Figures

Figures reproduced from arXiv: 2605.20432 by Aidan Crilly.

Figure 1
Figure 1. Figure 1: FIG. 1. (a) The DT spectrum using various spectral shape [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. Scattered spectrum components for an equimolar [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. (a) Scattered spectra for symmetric ( [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. The [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Comparison of NeSST (dashed, N) with Minotaur [PITH_FULL_IMAGE:figures/full_fig_p007_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. (a) Transmission of 15-m dry air at STP as a func [PITH_FULL_IMAGE:figures/full_fig_p010_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: shows the effect on the time-resolved nToF signals of a burn duration of 100 ps with a linearly de￾creasing ion temperature with a central ion temperature of 5 keV. These finite burn duration effects can be in￾cluded in the forward model and used to fit time-resolved plasma conditions, including sensitivity and IRF effects, [PITH_FULL_IMAGE:figures/full_fig_p011_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. Synthetic code demonstration: forward-model self [PITH_FULL_IMAGE:figures/full_fig_p012_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9. (a) Craun, Smith & Bethe sensitivity models includ [PITH_FULL_IMAGE:figures/full_fig_p013_9.png] view at source ↗
read the original abstract

We present the Neutron Scattered Spectra Tool (NeSST), an open-source Python package for rapidly constructing primary and singly scattered neutron spectra from inertial confinement fusion (ICF) implosions. NeSST evaluates primary spectra for deuterium-tritium (DT), deuterium-deuterium (DD) and tritium-tritium (TT) reactions. Differential and total nuclear cross sections are read directly from Evaluated Nuclear Data File (ENDF) libraries. This enables elastic ($n$D, $n$T) and inelastic [D$(n,2n)$p, T$(n,2n)$D] scattering from DT fuel, as well as scattering from additional ablator materials such as $^{12}$C, to be treated within a common framework. Relativistic corrections to elastic scattering kinematics are included. Areal density asymmetries are incorporated through a Legendre mode expansion of the neutron-averaged projected areal density, allowing the spectral signatures of implosion non-uniformities to be computed and fitted. The effect of scattering ion velocities on the neutron backscatter edge shape is handled through pre-computed ion-velocity-dependent scattering kernels. A synthetic neutron time-of-flight (nToF) module converts energy spectra into detector signals with a full forward model that includes configurable instrument response functions (IRFs), energy-dependent scintillator sensitivity, and beamline attenuation. The code is publicly available at https://github.com/aidancrilly/NeSST

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

2 major / 1 minor

Summary. The manuscript presents NeSST, an open-source Python package for rapidly constructing primary and singly scattered neutron spectra from ICF implosions. It supports DT, DD, and TT reactions plus ablator materials by reading differential and total cross sections directly from ENDF libraries, incorporates relativistic kinematics for elastic scattering, uses a Legendre mode expansion of the neutron-averaged projected areal density to model asymmetries, employs pre-computed ion-velocity-dependent scattering kernels for the backscatter edge, and includes a configurable synthetic nToF forward model with instrument response functions, scintillator sensitivity, and beamline attenuation.

Significance. If the implementation is accurate within its stated approximations, NeSST would provide a practical, efficient tool for generating synthetic neutron spectra and diagnostics in the ICF community. The open-source release on GitHub and reliance on standard ENDF libraries support reproducibility and community adoption. The handling of implosion non-uniformities via Legendre expansions and velocity effects on the backscatter edge addresses relevant experimental needs for nToF analysis at facilities such as NIF.

major comments (2)
  1. Scattering model (Methods): The central construction relies on the single-scattering approximation plus Legendre kernels and pre-computed velocity kernels, but no quantitative bound or test is given for the ρR range (e.g., ≳100 mg/cm²) where double scattering begins to fill the backscatter edge and alter down-scattered yield at the few-percent level required for diagnostic use.
  2. Validation and results sections: The manuscript contains no benchmark comparisons to full Monte Carlo transport codes, no error propagation analysis, and no direct comparison to experimental nToF data, leaving the claim that the generated spectra are 'usable' for diagnostic inference only partially supported.
minor comments (1)
  1. Code availability statement: While the GitHub link is given, the text would benefit from a short paragraph describing the module structure and providing a minimal usage example for constructing a spectrum with asymmetry modes.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive review and recommendation for minor revision. We address each major comment below and have revised the manuscript to strengthen the presentation of the scattering model and validation aspects while remaining within the scope of a tool-description paper.

read point-by-point responses

  1. Referee: Scattering model (Methods): The central construction relies on the single-scattering approximation plus Legendre kernels and pre-computed velocity kernels, but no quantitative bound or test is given for the ρR range (e.g., ≳100 mg/cm²) where double scattering begins to fill the backscatter edge and alter down-scattered yield at the few-percent level required for diagnostic use.

    Authors: We agree that an explicit discussion of the single-scattering approximation's range of validity is valuable. In the revised manuscript we have added a dedicated paragraph in the Methods section that cites prior Monte Carlo studies on multiple-scattering contributions in ICF neutron spectra. We state that for the areal-density range typical of current experiments (ρR ≲ 100 mg/cm²) the double-scattering correction to the backscatter edge remains below a few percent, consistent with the diagnostic precision requirements, and we note the approximation's breakdown at higher ρR. This addition provides the requested quantitative context without new calculations. revision: yes

  2. Referee: Validation and results sections: The manuscript contains no benchmark comparisons to full Monte Carlo transport codes, no error propagation analysis, and no direct comparison to experimental nToF data, leaving the claim that the generated spectra are 'usable' for diagnostic inference only partially supported.

    Authors: The manuscript's primary purpose is to document the NeSST implementation and its underlying physics models rather than to perform an exhaustive validation campaign. We have revised the Results section to include a brief discussion of accuracy expectations based on the ENDF libraries and relativistic kinematics, together with references to earlier literature that benchmarked comparable single-scattering models against Monte Carlo transport codes. Error propagation is facilitated by the code's modular structure, which allows users to propagate uncertainties from the input cross sections; we have clarified this in the text. Direct experimental nToF comparisons lie outside the present scope but are enabled by the synthetic diagnostic module; we have added a forward-looking statement indicating that such comparisons will be pursued in follow-on work. revision: partial

Circularity Check

0 steps flagged

NeSST tool implements standard external models and data without circular derivations

full rationale

The paper presents NeSST as a forward-modeling Python package that reads differential and total cross sections directly from ENDF libraries, applies relativistic elastic scattering kinematics, uses Legendre expansions of neutron-averaged projected areal density for asymmetries, and employs pre-computed ion-velocity-dependent scattering kernels. All core components are drawn from established nuclear data libraries and standard physics treatments rather than from any self-fitted parameters, internal definitions, or self-citation chains. The synthetic nToF module is likewise a configurable forward operator built on these external inputs. No load-bearing step reduces by construction to its own outputs, satisfying the criteria for a self-contained, non-circular implementation.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The tool depends on external nuclear data libraries and standard domain assumptions in ICF neutron modeling rather than introducing new free parameters or entities.

axioms (2)
  • domain assumption ENDF libraries contain accurate differential and total nuclear cross sections for elastic and inelastic scattering on D, T, and C
    Cross sections are read directly from ENDF for all scattering calculations.
  • domain assumption Singly scattered neutrons dominate the spectral signatures of interest in the relevant energy range
    Tool focuses exclusively on primary and singly scattered spectra.

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Works this paper leans on

56 extracted references · 56 canonical work pages

  1. [1]

    Spectral-moment theo- ries have been developed to describe these product spec- tra by exploiting the fact that fusion products are much more energetic than the reacting ions

    Spectral moments: Ballabio fits As both DT and DD are two-body reactions with two products, reaction kinematics can be used to determine the product energies precisely. Spectral-moment theo- ries have been developed to describe these product spec- tra by exploiting the fact that fusion products are much more energetic than the reacting ions. A full review...

    work page

  2. [2]

    However, there is no simple map- ping from these moments to the accurate spectral shape

    Spectral shapes The spectral moments are summary statistics of the full neutron spectrum. However, there is no simple map- ping from these moments to the accurate spectral shape. Instead we use a set of approximate functional forms and validate these against Monte Carlo calculations. The simplest approximation for the primary spectrum is a Gaussian centre...

    work page

  3. [3]

    Elastic scattering Total and differential elastic cross sections fornD,nT and other species are read from Evaluated Nuclear Data File (ENDF)[32] libraries using an in-built ENDF inter- face (making use of the endf-python package). The differ- ential cross section in the centre-of-mass (CoM) frame is represented either as a Legendre polynomial expansion, d...

    work page

  4. [4]

    backscatter edge

    Inelastic (n,2n) processes The reactions D(n,2n)p and T(n,2n)D are three-body breakup processes that produce a broad, continuous spec- trum of outgoing neutrons within DT fuel. NeSST sup- ports two data formats for the double differential cross section of these processes: •LA W 6 (phase space law): used for T(n,2n)D; the isotropic phase-space distribution...

    work page 2018

  5. [5]

    Gatu Johnson, D

    M. Gatu Johnson, D. T. Casey, J. A. Frenje, C.-K. Li, F. H. S´ eguin, R. D. Petrasso, R. Ashabranner, R. Bionta, S. LePape, M. McKernan, A. Mackinnon, J. D. Kilkenny, J. Knauer, and T. C. Sangster, Measure- ments of collective fuel velocities in deuterium-tritium exploding pusher and cryogenically layered deuterium- tritium implosions on the nif, Physics ...

    work page doi:10.1063/1.4802810 2013

  6. [6]

    C. J. Forrest, P. B. Radha, V. Y. Glebov, V. N. Gon- charov, J. P. Knauer, A. Pruyne, M. Romanofsky, T. C. Sangster, M. J. S. III, C. Stoeckl, D. T. Casey, M. Gatu- Johnson, and S. Gardner, High-resolution spectroscopy used to measure inertial confinement fusion neutron spec- tra on omega (invited), Review of Scientific Instruments 83, 10D919 (2012), http...

    work page doi:10.1063/1.4742926 2012

  7. [7]

    J. A. Frenje, D. T. Casey, C. K. Li, F. H. S´ eguin, R. D. Petrasso, V. Y. Glebov, P. B. Radha, T. C. Sangster, D. D. Meyerhofer, S. P. Hatchett, S. W. Haan, C. J. Cerjan, O. L. Landen, K. A. Fletcher, and R. J. Leeper, Probing high areal-density cryo- genic deuterium-tritium implosions using downscat- tered neutron spectra measured by the magnetic recoil...

    work page doi:10.1063/1.3304475 2010

  8. [8]

    Gatu Johnson, D

    M. Gatu Johnson, D. Schlossberg, B. Appelbe, J. Ball, M. Bitter, D. Casey, A. Celora, L. Ceurvorst, H. Chen, S. Conroy,et al., Learning from each other: Cross-cutting diagnostic development activities between magnetic and inertial confinement fusion, Review of Scientific Instru- ments95(2024)

    work page 2024

  9. [9]

    Hatarik, R

    R. Hatarik, R. C. Nora, B. K. Spears, M. J. Eckart, G. P. Grim, E. P. Hartouni, A. S. Moore, and 15 D. J. Schlossberg, Using multiple neutron time of flight detectors to determine the hot spot velocity, Review of Scientific Instruments89, 10I138 (2018), https://doi.org/10.1063/1.5039372

    work page doi:10.1063/1.5039372 2018

  10. [10]

    O. M. Mannion, V. Y. Glebov, C. J. Forrest, J. P. Knauer, V. N. Goncharov, S. P. Regan, T. C. Sangster, C. Stoeckl, and M. Gatu Johnson, Calibration of a neu- tron time-of-flight detector with a rapid instrument re- sponse function for measurements of bulk fluid motion on omega, Review of Scientific Instruments89, 10I131 (2018), https://doi.org/10.1063/1.5037324

    work page doi:10.1063/1.5037324 2018

  11. [11]

    A. J. Crilly, B. D. Appelbe, O. M. Mannion, C. J. For- rest, V. Gopalaswamy, C. A. Walsh, and J. P. Chitten- den, Neutron backscatter edge: A measure of the hydro- dynamic properties of the dense dt fuel at stagnation in icf experiments, Physics of Plasmas27, 012701 (2020), https://doi.org/10.1063/1.5128830

    work page doi:10.1063/1.5128830 2020

  12. [12]

    Crilly, B

    A. Crilly, B. Appelbe, O. Mannion, C. Forrest, J. Knauer, D. Schlossberg, E. Hartouni, A. Moore, and J. Chitten- den, Neutron backscatter edges as a diagnostic of burn propagation, Physics of Plasmas29, 062707 (2022)

    work page 2022

  13. [13]

    A. J. Crilly, D. J. Schlossberg, B. D. Appelbe, A. S. Moore, J. Jeet, S. Kerr, M. Rubery, B. Lahmann, S. O’Neill, C. J. Forrest, O. M. Mannion, and J. P. Chit- tenden, Measurements of dense fuel hydrodynamics in the nif burning plasma experiments using backscattered neutron spectroscopy, Physics of Plasmas31, 042701 (2024)

    work page 2024

  14. [14]

    Crilly, B

    A. Crilly, B. Appelbe, O. Mannion, C. Forrest, and J. Chittenden, The effect of areal density asymmetries on scattered neutron spectra in icf implosions, Physics of Plasmas28, 022710 (2021)

    work page 2021

  15. [15]

    Gopalaswamy, C

    V. Gopalaswamy, C. Forrest, R. Betti, D. Patel, A. Crilly, A. Lees, J. Knauer, B. Stanley, L. Ceurvorst, C. Stoeckl, et al., Interpreting scattered neutron spectra on omega cryogenic implosions with measured backgrounds and higher-order scattering, Physics of Plasmas32(2025)

    work page 2025

  16. [16]

    Forrest, A

    C. Forrest, A. Crilly, A. Schwemmlein, M. Gatu-Johnson, O. Mannion, B. Appelbe, R. Betti, V. Y. Glebov, V. Gopalaswamy, J. Knauer,et al., Measurements of low- mode asymmetries in the areal density of laser-direct- drive deuterium–tritium cryogenic implosions on omega using neutron spectroscopy, Review of Scientific Instru- ments93(2022)

    work page 2022

  17. [17]

    X-5 Monte Carlo Team,MCNP – A General Monte Carlo N-Particle Transport Code, Version 5, Tech. Rep. LA- UR-03-1987 (Los Alamos National Laboratory, 2003)

    work page 1987

  18. [18]

    P. K. Romano, N. E. Horelik, B. R. Herman, A. G. Nel- son, B. Forget, and K. Smith, Openmc: A state-of-the-art monte carlo code for research and development, Annals of Nuclear Energy82, 90 (2015)

    work page 2015

  19. [19]

    Weilacher, P

    F. Weilacher, P. B. Radha, and C. Forrest, Three- dimensional modeling of the neutron spectrum to infer plasma conditions in cryogenic inertial confinement fu- sion implosions, Physics of Plasmas25, 042704 (2018), https://doi.org/10.1063/1.5016856

    work page doi:10.1063/1.5016856 2018

  20. [20]

    A. J. Crilly, B. D. Appelbe, K. McGlinchey, C. A. Walsh, J. K. Tong, A. B. Boxall, and J. P. Chittenden, Synthetic nuclear diagnostics for inferring plasma properties of in- ertial confinement fusion implosions, Physics of Plasmas 25, 122703 (2018), https://doi.org/10.1063/1.5027462

    work page doi:10.1063/1.5027462 2018

  21. [21]

    A. J. Crilly, B. D. Appelbe, O. M. Mannion, C. J. For- rest, V. Gopalaswamy, C. A. Walsh, and J. P. Chitten- den, Neutron backscatter edge: A measure of the hydro- dynamic properties of the dense DT fuel at stagnation in ICF experiments, Phys. Plasmas27, 012701 (2020)

    work page 2020

  22. [22]

    A. J. Crilly, B. D. Appelbe, O. M. Mannion, C. J. Forrest, and J. P. Chittenden, The effect of areal density asym- metries on scattered neutron spectra in ICF implosions, Phys. Plasmas28, 022710 (2021)

    work page 2021

  23. [23]

    Brysk, Fusion neutron energies and spectra, Plasma Physics15, 611 (1973)

    H. Brysk, Fusion neutron energies and spectra, Plasma Physics15, 611 (1973)

    work page 1973

  24. [24]

    Ballabio, J

    L. Ballabio, J. K. Allne, and G. Gorini, Relativistic Cal- culation of Fusion Product Spectra, Nuclear Fusion38, 10.1088/0029-5515/38/11/310 (1998)

    work page doi:10.1088/0029-5515/38/11/310 1998

  25. [25]

    C. R. Brune, J. A. Caggiano, D. B. Sayre, A. D. Bacher, G. M. Hale, and M. W. Paris,r-matrix description of particle energy spectra produced by low-energy 3H +3 H reactions, Phys. Rev. C92, 014003 (2015)

    work page 2015

  26. [26]

    D. H. Munro, Interpreting inertial fusion neutron spectra, Nuclear Fusion56, 036001 (2016)

    work page 2016

  27. [27]

    D. H. Munro, J. E. Field, R. Hatarik, J. L. Peterson, E. P. Hartouni, B. K. Spears, and J. D. Kilkenny, Im- pact of temperature-velocity distribution on fusion neu- tron peak shape, Physics of Plasmas24, 056301 (2017), https://doi.org/10.1063/1.4976857

    work page doi:10.1063/1.4976857 2017

  28. [28]

    B. D. Appelbe, A. J. Crilly, and C. Pimpirev, General- izing the moments method for primary neutron spectra, High Energy Density Physics52, 101128 (2024)

    work page 2024

  29. [29]

    Crilly, B

    A. Crilly, B. Appelbe, O. Mannion, W. Taitano, E. Har- touni, A. Moore, M. Gatu-Johnson, and J. P. Chitten- den, Constraints on ion velocity distributions from fusion product spectroscopy, Nuclear fusion62, 126015 (2022)

    work page 2022

  30. [30]

    Eriksson, A

    J. Eriksson, A. Hjalmarsson, M. Isoflar, J. Conroy, G. Er- icsson, M. G. Johnson, E. Sund´ en,et al., DRESS: a monte Carlo code for the simulation of diagnostic re- sponse functions in fusion experiments, Comput. Phys. Commun.199, 40 (2016)

    work page 2016

  31. [31]

    M. G. Johnson, C. Forrest, D. Sayre, A. Bacher, J.-L. Bourgade, C. Brune, J. Caggiano, D. Casey, J. Frenje, V. Y. Glebov,et al., Experimental evidence of a vari- ant neutron spectrum from the t (t, 2 n)αreaction at center-of-mass energies in the range of 16–50 kev, Phys- ical review letters121, 042501 (2018)

    work page 2018

  32. [32]

    Eriksson, S

    B. Eriksson, S. Conroy, G. Ericsson, J. Eriksson, A. Hjalmarsson, C. Brune, M. G. Johnson, M. Nocente, S. Fugazza, and M. Rebai, First measurement in a mag- netic confinement fusion experiment of the h 3+ h 3→he 5+ n intermediate two-body resonant reaction, Physical Review C109, 054620 (2024)

    work page 2024

  33. [33]

    B. D. Appelbe, A. J. Crilly, and J. P. Chittenden, Rel- ativistic corrections to the TT neutron spectrum, High Energy Density Phys.19, 29 (2016)

    work page 2016

  34. [34]

    Bosch and G

    H.-S. Bosch and G. Hale, Improved formulas for fusion cross-sections and thermal reactivities, Nuclear Fusion 32, 611 (1992)

    work page 1992

  35. [35]

    N. V. Kabadi, P. J. Adrian, A. Bose, D. Casey, J. A. Frenje, M. Gatu Johnson, B. Lahmann, O. Mannion, R. D. Petrasso, H. Rinderknecht,et al., A second order yield-temperature relation for accurate inference of burn- averaged quantities in multi-species plasmas, Physics of Plasmas28(2021)

    work page 2021

  36. [36]

    Chadwick, P

    M. Chadwick, P. Obloˇ zinsk´ y, M. Herman, N. Greene, R. McKnight, D. Smith, P. Young, R. MacFarlane, G. Hale, S. Frankle, A. Kahler, T. Kawano, R. Little, D. Madland, P. Moller, R. Mosteller, P. Page, P. Talou, H. Trellue, M. White, W. Wilson, R. Arcilla, C. Dun- ford, S. Mughabghab, B. Pritychenko, D. Rochman, 16 A. Sonzogni, C. Lubitz, T. Trumbull, J. ...

    work page doi:10.1016/j.nds.2006.11.001 2006

  37. [37]

    Z. G. Ge, Z. X. Zhao, H. H. Xia, Y. X. Zhuang, T. J. Liu, J. S. Zhang, and H. C. Wu, The updated version of chi- nese evaluated nuclear data library (cendl-3.1), Journal of the Korean Physical Society59(2011)

    work page 2011

  38. [38]

    Deltuva, Deuteron-neutron scattering above the breakup threshold, Phys

    A. Deltuva, Deuteron-neutron scattering above the breakup threshold, Phys. Rev. C88, 011601 (2013)

    work page 2013

  39. [39]

    C. J. Forrest, A. Deltuva, W. U. Schr¨ oder, A. V. Voinov, J. P. Knauer, E. M. Campbell, G. W. Collins, V. Y. Glebov, O. M. Mannion, Z. L. Mohamed, P. B. Radha, S. P. Regan, T. C. Sangster, and C. Stoeckl, Deuteron breakup induced by 14-mev neutrons from inertial con- finement fusion, Phys. Rev. C100, 034001 (2019)

    work page 2019

  40. [40]

    Hatarik, D

    R. Hatarik, D. B. Sayre, J. A. Caggiano, T. Phillips, M. J. Eckart, E. J. Bond, C. Cerjan, G. P. Grim, E. P. Hartouni, J. P. Knauer, J. M. Mcnaney, and D. H. Munro, Analysis of the neutron time-of- flight spectra from inertial confinement fusion experi- ments, Journal of Applied Physics118, 184502 (2015), https://doi.org/10.1063/1.4935455

    work page doi:10.1063/1.4935455 2015

  41. [41]

    Mohamed, O

    Z. Mohamed, O. Mannion, E. Hartouni, J. Knauer, and C. Forrest, A generalized forward fit for neutron detec- tors with energy-dependent response functions, Journal of Applied Physics128, 214501 (2020)

    work page 2020

  42. [42]

    T. J. Murphy, R. E. Chrien, and K. Klare, Interpretation of neutron time-of-flight signals from current-mode detec- tors, Review of scientific instruments68, 610 (1997)

    work page 1997

  43. [43]

    G. F. Knoll,Radiation detection and measurement(John Wiley & Sons, 2010)

    work page 2010

  44. [44]

    Q. Tang, Z. Song, P. Liu, B. Yu, and J. Yang, Calibra- tion of the sensitivity of the bibenzyl-based scintillation detector to 1–5 MeV neutrons, Nucl. Instrum. Methods Phys. Res. A1068, 169779 (2024)

    work page 2024

  45. [45]

    V. V. Verbinski, W. R. Burrus, T. A. Love, W. Zobel, N. W. Hill, and R. Textor, Calibration of an organic scin- tillator for neutron spectrometry, Nucl. Instrum. Meth- ods65, 8 (1968)

    work page 1968

  46. [46]

    Craun and D

    R. Craun and D. Smith, Analysis of response data for sev- eral organic scintillators, Nuclear Instruments and Meth- ods80, 239 (1970)

    work page 1970

  47. [47]

    Stoeckl, R

    C. Stoeckl, R. Boni, F. Ehrne, C. Forrest, V. Y. Gle- bov, J. Katz, D. Lonobile, J. Magoon, S. P. Regan, M. Shoup,et al., Neutron temporal diagnostic for high- yield deuterium–tritium cryogenic implosions on omega, Review of Scientific Instruments87(2016)

    work page 2016

  48. [48]

    Moore, E

    A. Moore, E. Hartouni, D. Schlossberg, S. Kerr, M. Eckart, J. Carrera, L. Ma, C. Waltz, D. Barker, J. Gjemso,et al., The five line-of-sight neutron time-of- flight (ntof) suite on the national ignition facility (nif), Review of Scientific Instruments92, 023516 (2021)

    work page 2021

  49. [49]

    Catenacci, D

    J. Catenacci, D. Constantino, B. Gall, and A. Luttman, Tomographic reconstruction of the neutron time–energy spectrum from a dense plasma focus, IEEE Transactions on Plasma Science48, 3135 (2020)

    work page 2020

  50. [50]

    M. Vlad, A time resolving spectrometry method for par- ticles emitted in intense bursts, Nuclear Instruments and Methods in Physics Research Section A: Acceler- ators, Spectrometers, Detectors and Associated Equip- ment227, 327 (1984)

    work page 1984

  51. [51]

    B. D. Appelbe and A. J. Crilly, The neutron spectral moments method in the time-of-flight domain, arXiv preprint arXiv:2411.12414 (2024)

    work page arXiv 2024

  52. [52]

    Moore, D

    A. Moore, D. Schlossberg, M. Eckart, E. Hartouni, T. Hilsabeck, J. Jeet, S. Kerr, R. Nora, and J. Kilkenny, Constraining time-dependent ion temperature measure- ments in inertial confinement fusion (icf) implosions with an intermediate distance neutron time-of-flight (ntof) de- tector, Review of Scientific Instruments93(2022)

    work page 2022

  53. [53]

    C. R. Harriset al., Array programming with NumPy, Nature585, 357 (2020)

    work page 2020

  54. [54]

    Virtanenet al., SciPy 1.0: Fundamental algorithms for scientific computing in Python, Nat

    P. Virtanenet al., SciPy 1.0: Fundamental algorithms for scientific computing in Python, Nat. Methods17, 261 (2020)

    work page 2020

  55. [55]

    Romano, endf-python (2023), accessed 2026-05-13

    P. Romano, endf-python (2023), accessed 2026-05-13

    work page 2023

  56. [56]

    J. D. Hunter, Matplotlib: A 2D graphics environment, Comput. Sci. Eng.9, 90 (2007)

    work page 2007