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5. national symposium on radiation physics; Calcutta (India); 21-24 Nov 1983; Published in summary form only.
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Israel Physical Society, Jerusalem; Bulletin of the Israel Physical Society; v. 23; p. 101; 1977; p. 101; Israel Physical Society 1977 annual meeting; Ramat Gan, Israel; 27 - 28 Mar 1977; Published in summary form only.
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Miscellaneous
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[en] A theory of shocks dominated by radiation energy flux in optically mixed thin-upstream thick-downstream systems, in which the temperature immediately ahead and some short distance behind the shock front are equilibrated by radiation transport, is presented. This theory is applied to determine properties of the normal and oblique radiative shock, followed by applications to interactions when radiative and polytropic shocks are present in the same system. Comparison with experimental data is presented.
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(c) 2011 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA)
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S0741-3335(11)31046-9; Available from http://dx.doi.org/10.1088/0741-3335/53/3/038001; Abstract only; Country of input: International Atomic Energy Agency (IAEA)
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[en] A general formulation of all track-length-type estimators is given, based directly on the random walk process. Two of the commonly used track-length-type estimators are shown to be special cases of the general form, and a set of new estimators is derived
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Nuclear Science and Engineering; v. 66(1); p. 121-124
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McKinney, Gregg W.; Armstrong, Hirotatsu; James, Michael R.; Clem, John; Goldhagen, Paul
Los Alamos National Laboratory (United States). Funding organisation: DHS (United States)2012
Los Alamos National Laboratory (United States). Funding organisation: DHS (United States)2012
AbstractAbstract
[en] MCNP is a Monte Carlo radiation transport code that has been under development for over half a century. Over the last decade, the development team of a high-energy offshoot of MCNP, called MCNPX, has implemented several physics and algorithm improvements important for modeling galactic cosmic-ray (GCR) interactions with matter. In this presentation, we discuss the latest of these improvements, a new Cosmic-Source option, that has been implemented in MCNP6.
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19 Jun 2012; 22 p; ICAPP '12: International Congress on Advances in Nuclear Power Plants; Chicago, IL (United States); 24-28 Jun 2012; AC52-06NA25396; Available from http://permalink.lanl.gov/object/tr?what=info:lanl-repo/lareport/LA-UR-12-22318; PURL: https://www.osti.gov/servlets/purl/1044110/
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ANS annual meeting; San Diego, CA, USA; 18 Jun 1978; See CONF-780622--. Published in summary form only.
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Transactions of the American Nuclear Society; v. 28 p. 263-264
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Miquel, Jean-Luc; Prene, Emmanuelle, E-mail: jean-luc.miquel@cea.fr2019
AbstractAbstract
[en] Since the operational commissioning of the LMJ in October 2014, with the first bundle of eight beams, several experimental campaigns have been achieved. They have proven the good performance of LMJ and demonstrated its aptitudes to achieve experiments for the Simulation Program. Six experimental configurations have been defined during the ramp-up of LMJ till the completion of the facility with 176 beams and more than 30 diagnostics. This gradual phase permit to explore some of the experimental topics of the Simulation program: hohlraum energetics, radiation transport, fundamental data, implosion hydrodynamics, hydrodynamic instabilities, and fusion studies. To complete the experimental capabilities of LMJ, a PW beam, PETAL, has been added to the LMJ’s beams. PETAL offers a combination of a very high intensity multi-petawatt beam, synchronized with the nanosecond beams of the LMJ. This combination expands the LMJ experimental field in high energy density physics (HEDP). LMJ-PETAL is open to the academic communities for 20%–30% of the operating time; the first experiments have been performed in 2017. (paper)
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Available from http://dx.doi.org/10.1088/1741-4326/aac343; Country of input: International Atomic Energy Agency (IAEA)
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Grechanuk, Pavel Aleksandrovi
Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Funding organisation: USDOE (United States)2018
Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Funding organisation: USDOE (United States)2018
AbstractAbstract
[en] For many real-world applications in radiation transport where simulations are compared to experimental measurements, like in nuclear criticality safety, the bias (simulated - experimental keff) in the calculation is an extremely important quantity used for code validation. The objective of this project is to accurately predict the bias of MCNP6 [1] criticality calculations using machine learning (ML) algorithms, with the intention of creating a tool that can complement the current nuclear criticality safety methods. In the latest release of MCNP6, the Whisper tool is available for criticality safety analysts and includes a large catalogue of experimental benchmarks, sensitivity profiles, and nuclear data covariance matrices. This data, coming from 1100+ benchmark cases, is used in this study of ML algorithms for criticality safety bias predictions.
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9 Jan 2018; 25 p; OSTIID--1416276; AC52-06NA25396; Available from http://permalink.lanl.gov/object/tr?what=info:lanl-repo/lareport/LA-UR-18-20175; PURL: http://www.osti.gov/servlets/purl/1416276/
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AbstractAbstract
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S0741-3335(11)31641-7; Available from http://dx.doi.org/10.1088/0741-3335/53/3/038002; Abstract only; Country of input: International Atomic Energy Agency (IAEA)
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