• Title/Summary/Keyword: PACS: 24.10.L

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Applicability of the Krško nuclear power plant core Monte Carlo model for the determination of the neutron source term

  • Goricanec, Tanja;Stancar, Ziga;Kotnik, Domen;Snoj, Luka;Kromar, Marjan
    • Nuclear Engineering and Technology
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    • v.53 no.11
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    • pp.3528-3542
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    • 2021
  • A detailed geometrical model of a Krško reactor core was developed using a Monte Carlo neutron transport code MCNP. The main goal of developing an MCNP core model is for it to be used in future research focused on ex-core calculations. A script called McCord was developed to generate MCNP input for an arbitrary fuel cycle configuration from the diffusion based core design package CORD-2, taking advantage of already available material and temperature data obtained in the nuclear core design process. The core model was used to calculate 3D power density profile inside the core. The applicability of the calculated power density distributions was tested by comparison to the CORD-2 calculations, which is regularly used for the nuclear core design calculation verification of the Krško core. For the hot zero power and hot full power states differences between MCNP and CORD-2 in the radial power density profile were <3%. When studying axial power density profiles the differences in axial offset were less than 2.3% for hot full power condition. To further confirm the applicability of the developed model, the measurements with in-core neutron detectors were compared to the calculations, where differences of 5% were observed.

NEP-AKARI: EVOLUTION WITH REDSHIFT OF DUST ATTENUATION IN 8 ㎛ SELECTED GALAXIES

  • Buat, V.;Oi, N.;Burgarella, D.;Malek, K.;Matsuhara, H.;Murata, K.;Serjeant, S.;Takeuchi, T.T.;Malkan, M.;Pearson, C.;Wada, T.
    • Publications of The Korean Astronomical Society
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    • v.32 no.1
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    • pp.257-261
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    • 2017
  • We built a $8{\mu}m$ selected sample of galaxies in the NEP-AKARI field by defining 4 redshift bins with the four AKARI bands at 11, 15, 18 and 24 microns (0.15 < z < 0.49, 0.75 < z < 1.34, 1.34 < z < 1.7 and 1.7 < z < 2.05). Our sample contains 4079 sources, 599 are securely detected with Herschel/PACS. Also adding ultraviolet (UV) data from GALEX, we fit the spectral energy distributions using the physically motivated code CIGALE to extract the star formation rate, stellar mass, dust attenuation and the AGN contribution to the total infrared luminosity ($L_{IR}$). We discuss the impact of the adopted attenuation curve and that of the wavelength coverage to estimate these physical parameters. We focus on galaxies with a luminosity close the characteristic $L^*_{IR}$ in the different redshift bins to study the evolution with redshift of the dust attenuation in these galaxies.

Evaluation of the correlation between the muscle fat ratio of pork belly and pork shoulder butt using computed tomography scan

  • Sheena Kim;Jeongin Choi;Eun Sol Kim;Gi Beom Keum;Hyunok Doo;Jinok Kwak;Sumin Ryu;Yejin Choi;Sriniwas Pandey;Na Rae Lee;Juyoun Kang;Yujung Lee;Dongjun Kim;Kuk-Hwan Seol;Sun Moon Kang;In-Seon Bae;Soo-Hyun Cho;Hyo Jung Kwon;Samooel Jung;Youngwon Lee;Hyeun Bum Kim
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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    • pp.809-815
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    • 2023
  • This study was conducted to find out the correlation between meat quality and muscle fat ratio in pork part meat (pork belly and shoulder butt) using CT (computed tomography) imaging technique. After 24 hours from slaughter, pork loin and belly were individually prepared from the left semiconductors of 26 pigs for CT measurement. The image obtained from CT scans was checked through the picture archiving and communications system (PACS). The volume of muscle and fat in the pork belly and shoulder butt of cross-sectional images taken by CT was estimated using Vitrea workstation version 7. This assemblage was further processed through Vitrea post-processing software to automatically calculate the volumes (Fig. 1). The volumes were measured in milliliters (mL). In addition to volume calculation, a three-dimensional reconstruction of the organ under consideration was generated. Pearson's correlation coefficient was analyzed to evaluate the relationship by region (pork belly, pork shoulder butt), and statistical processing was performed using GraphPad Prism 8. The muscle-fat ratios of pork belly taken by CT was 1 : 0.86, while that of pork shoulder butt was 1 : 0.37. As a result of CT analysis of the correlation coefficient between pork belly and shoulder butt compared to the muscle-fat ratio, the correlation coefficient was 0.5679 (R2 = 0.3295, p < 0.01). CT imaging provided very good estimates of muscle contents in cuts and in the whole carcass.