scholarly journals Development of Parallel Computing Framework to Enhance Radiation Transport Code Capabilities for Rare Isotope Beam Facility Design

2013 ◽  
Author(s):  
Mikhail Kostin ◽  
Nikolai Mokhov ◽  
Koji Niita



Aerospace ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 107
Author(s):  
Fahad A. Zaman ◽  
Lawrence W. Townsend

Solar particle events (SPEs) can pose serious threats for future crewed missions to the Moon. Historically, there have been several extreme SPEs that could have been dangerous for astronauts, and thus analyzing their potential risk on humans is an important step towards space exploration. In this work, we study the effects of a well-known SPE that occurred on 23 February 1956 on a mission in cis-Lunar space. Estimates of the proton fluence spectra of the February 1956 event were obtained from three different parameterized models published within the past 12 years. The studied geometry consists of a female phantom in the center of spherical spacecraft shielded by aluminum area densities ranging from 0.4 to 40 g cm−2. The effective dose, along with lens, skin, blood forming organs, heart, and central nervous system doses, were tallied using the On Line Tool for the Assessment of Radiation In Space (OLTARIS), which utilizes the High Z and Energy TRansport code (HZETRN), a deterministic radiation transport code. Based on the parameterized models, the results herein show that thicknesses comparable to a spacesuit might not protect against severe health consequences from a February 1956 category event. They also show that a minimum aluminum shielding of around 20 g cm−2 is sufficient to keep the effective dose and critical organ doses below NASA’s permissible limits for such event. In addition, except for very thin shielding, the input models produced results that were within good agreement, where the doses obtained from the three proton fluence spectra tended to converge with slight differences as the shielding thickness increases.



2008 ◽  
Vol 37 (1) ◽  
pp. 78-90 ◽  
Author(s):  
Luke Tierney ◽  
A. J. Rossini ◽  
Na Li


2021 ◽  
Vol 103 (5) ◽  
Author(s):  
J. Ash ◽  
H. Iwasaki ◽  
T. Mijatović ◽  
T. Budner ◽  
R. Elder ◽  
...  


2013 ◽  
Vol 753-755 ◽  
pp. 3018-3024 ◽  
Author(s):  
Fen Gyu Yang ◽  
Ying Chen ◽  
Ye Zhang

As increasing data have been collected in many applications, we have to face with millions of data in record linkage. With respect to traditional methods, there comes out a big challenge in performance while dealing with massive data. Parallel computing framework, such as MapReduce, has become an efficient and practical way to address this problem. In this paper, we propose a practical 3-phase MapReduce approach that fulfills blocking, filtering, and linking in 3 consecutive processes on Hadoop cluster. Experiments show that our approach functions efficiently and effectively with keeping high recall in contrast to tradition method.





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