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LA-UR-14-28730 Approved for public release; distribution is unlimited. Title: Correlated Neutron and Gamma-Ray Emissions in MCNP6 Author(s): Rising, Michael Evan Sood, Avneet Talou, Patrick Kawano, Toshihiko Stetcu, Ionel Intended for: 2014 ANS Winter Meeting and Nuclear Technology Expo, 2014-11-09/2014-11-13 (Anaheim, California, United States) Issued: 2014-12-04 (rev.1)

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Page 1: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

LA-UR-14-28730Approved for public release; distribution is unlimited.

Title: Correlated Neutron and Gamma-Ray Emissions in MCNP6

Author(s): Rising, Michael EvanSood, AvneetTalou, PatrickKawano, ToshihikoStetcu, Ionel

Intended for: 2014 ANS Winter Meeting and Nuclear Technology Expo,2014-11-09/2014-11-13 (Anaheim, California, United States)

Issued: 2014-12-04 (rev.1)

Page 2: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Disclaimer:Los Alamos National Laboratory, an affirmative action/equal opportunity employer,is operated by the Los Alamos National Security, LLC forthe National NuclearSecurity Administration of the U.S. Department of Energy under contract DE-AC52-06NA25396. By approving thisarticle, the publisher recognizes that the U.S. Government retains nonexclusive, royalty-free license to publish or reproduce the publishedform of this contribution, or to allow others to do so, for U.S. Government purposes. Los Alamos National Laboratory requests that thepublisher identify this article as work performed under the auspices of the U.S. Departmentof Energy. Los Alamos National Laboratorystrongly supports academic freedom and a researcher's right to publish; as an institution, however, the Laboratory does not endorse theviewpoint of a publication or guarantee its technical correctness.

Page 3: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA

2014 ANS Winter Meeting, Anaheim, CA

U N C L A S S I F I E D

Slide 1

Correlated Neutron and Gamma-ray Emissions in MCNP6

1Michael E. Rising, 1Avneet Sood, 2Patrick Talou, 2Ionel Stetcu and 2Toshihiko Kawano

1XCP-3 Division, Los Alamos National Laboratory 2T-2 Division, Los Alamos National Laboratory

ANS Winter Meeting

Anaheim, CA November 9-13, 2014

Page 4: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Outline

n  Introduction

n  Background

n  Secondary Particle Event Generators •  CGMF •  FREYA

n  Numerical Results •  Average Quantities •  Neutron and Gamma-ray Correlations

n  Conclusions

n  Future Work

Slide 2

Page 5: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Introduction

n  Application of interest •  Global security and nuclear nonproliferation •  Detection of special nuclear material (SNM) •  Warhead measurement campaign (WMC) •  Passive and active interrogation techniques •  Coincident neutron and photon leakage

n  Key issues •  Average nuclear data quantities are insufficient •  Cannot predict correlated signatures of shielded SNM

n  Approach to obtain predictive capability •  Use transport code MCNP for modeling neutrons and photons •  Need microscopic fission event information •  Fission event generators are under development •  Implement in MCNP and compare to experiments

Slide 3

Page 6: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Background

n  In tabulated nuclear data libraries (i.e. ENDF/B-VII.1): •  Average secondary neutron and photon information can be available

—  Average multiplicity, —  Average spectrum, —  Average energy-angle spectrum,

•  Generally, high-dimensional distributions of secondary particles are unavailable —  Multiplicity distribution, —  Multiplicity-dependent emission spectra, —  Multiplicity-dependent energy-angle emission spectra, —  Neutron-neutron, neutron-photon and photon-photon correlations —  Too much data to tabulate!

n  Default MCNP uses average quantities •  Consider this a nuclear data “variance reduction” technique •  Good for integral quantities, like flux and effective multiplication •  Bad for studying detailed particle emission physics

Slide 4

χ (E)ν

χ (ν,E)χ (ν,E,θ )

P(ν )

χ (E,θ )

Page 7: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Secondary Particle Event Generators

MCNP6.1.1 contains two event generators:

n  LLNL Fission Library1

•  Spontaneous, neutron-induced and photo-fission •  Fission Reaction Event Yield Algorithm (FREYA)2 isotopes:

—  Spontaneous: 238U, 240Pu, 244Cm and 252Cf —  Neutron-induced: 233U, 235U and 239Pu

•  When available, FREYA generates secondary neutrons and photons

n  Cascading Gamma-ray Multiplicity (CGM)3 - LANL

•  Generates secondary particles from a variety of reactions •  No fission! (CGMF under active development)

1J.M. Verbeke, C. Hagmann, and D. Wright, Lawrence Livermore National Laboratory, UCRL-AR-228518 (2014). 2R. Vogt and J. Randrup, Phys. Rev. C, vol. 84, pp. 044612-1-14 (2011). 3T. Kawano, P. Talou, M.B. Chadwick, and T. Watanabe, J. Nucl. Sci. Tech., 47 (5), 462-69 (2010).

Slide 5

Page 8: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Secondary Particle Event Generators: CGMF

n  CGMF is a superset of CGM with an added fission reaction capability

n  Fission fragments are sampled from a joint probability distribution function of mass (A), charge (Z) and total kinetic energy (TKE)

n  Uses Hauser-Feshbach statistical theory of nuclear reactions

n  Neutron / photon competition is treated during evaporation from fission fragments

n  Monte Carlo is used to sample each step in the de-excitation process

Slide 6

4B. Becker, P. Talou, T. Kawano, Y. Danon, and I. Stetcu, Phys. Rev. C, 87, 014617 (2013).

Page 9: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Secondary Particle Event Generators: FREYA

n  FREYA is LLNL’s fission event generator

n  In MCNP6, it is accessible through LLNL Fission Package

n  The LLNL Fission Package includes more tabulated and fitted data used for lesser known isotopes FREYA can’t presently handle

n  FREYA uses a Monte Carlo Weisskopf approach •  Neutrons emitted by sampling from Weisskopf spectrum •  After neutrons are done emitting, gamma rays are emitted from residual energy

n  Computationally more efficient than Monte Carlo Hauser-Feshbach

Slide 7

Page 10: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Numerical Results

n  Implementation of CGMF into MCNP6 is underway

n  Standalone and integrated code comparison needed for verification

n  CGMF behavior is studied to understand trends and correlations

n  Validation experiments will be needed to provide feedback to models

n  For the following numerical results: •  CGMF results are based on standalone code •  FREYA used through LLNL Fission Package in MCNP6 •  Default MCNP6 behavior is shown

n  Average energy, multiplicity and gamma ray spectrum

n  Secondary gamma ray spectrum

Slide 8

Page 11: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Numerical Results: Average Quantities

n  Thermal neutron incident on 239Pu

n  For MCNP6 and FREYA: •  Secondary neutrons from

reaction •  Secondary gamma rays

from , , etc.

n  For CGMF (standalone): •  Secondary neutrons and gamma rays

from only

n  Discrepancies due to : •  Multiplicity lower •  Average energy higher •  Peak at 5.5 MeV causes bump

n  Check again after integration

Slide 9

Quantity MCNP6 FREYA CGMF

⌫̄N 2.8725 2.8723 2.9764⌫̄� 2.0 7.2973 9.1797

hEN i (MeV) 2.1034 2.0003 2.0327hE�i (MeV) 0.9949 1.0327 0.7728

10-6

10-5

10-4

10-3

10-2

10-1

100

0.1 1 10

Gam

ma-

ray S

pec

trum

(1/M

eV)

Outgoing Energy (MeV)

MCNP6FREYACGMF

(n,γ )(n, f )

(n, f )

(n, f )

(n,γ )

Page 12: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Numerical Results: Neutron and Gamma-ray Correlations

n  Neutron – gamma ray energy and multiplicity correlations

n  Analyzing CGMF results for n(th)+239Pu fission reaction

n  Use to verify implementation into MCNP

n  This physics needs to be validated with experiment

Slide 10

0

2

4

6

8

10

12

14

0 5 10 15 202.2

2.4

2.6

2.8

3.0

3.2

3.4

3.6

3.8

4.0

4.2

Ener

gy (

MeV

)

Neu

tron M

ult

ipli

city

Gamma-ray Multiplicity

Average Energy / Neutron

Total Neutron Energy / Fission

Average Energy / Gamma ray

Total Gamma-ray Energy / Fission

0

2

4

6

8

10

12

14

16

18

0 1 2 3 4 5 6 7 84.0

6.0

8.0

10.0

12.0

Ener

gy (

MeV

)

Gam

ma-

ray M

ult

ipli

city

Neutron Multiplicity

Average Energy / Neutron

Total Neutron Energy / Fission

Average Energy / Gamma ray

Total Gamma-ray Energy / Fission

Page 13: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Conclusions

n  Many applications are in need of high fidelity physics models

n  Fission event generators are under active development

n  When implemented in MCNP a predictive capability may be possible

n  SNM signature detection with code validation will soon be possible

n  Future work: •  Finish implementation and improvements to fission event generators in MCNP •  Develop verification tests for all these new features •  Need experimental measurements to compare against •  Validate the new physics features with experiment •  Compare against MCNP-PoliMi and other specialized codes

Slide 11

Page 14: CoverSheet - mcnp.lanl.gov• Consider this a nuclear data “variance reduction” technique • Good for integral quantities, like flux and effective multiplication • Bad for studying

Operated by Los Alamos National Security, LLC for NNSA U N C L A S S I F I E D

2014 ANS Winter Meeting, Anaheim, CA

Questions?

This work was supported by the Office of Defense Nuclear Nonproliferation Research & Development (DNN R&D), National Nuclear Security

Administration, US Department of Energy.

Slide 12