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In-house development of an FPGA-based MCA8K for gamma-ray spectrometer

Overview of attention for article published in SpringerPlus, November 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

patent
1 patent

Citations

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5 Dimensions

Readers on

mendeley
13 Mendeley
Title
In-house development of an FPGA-based MCA8K for gamma-ray spectrometer
Published in
SpringerPlus, November 2014
DOI 10.1186/2193-1801-3-665
Pubmed ID
Authors

Dang Lanh, Pham Ngoc Son, Nguyen An Son

Abstract

The objective of this work is domestic development of electronics instruments. It used for measuring ionization radiation and practical training at Nuclear Research Institute (NRI), Dalat, Vietnam. The aim of this work is to study and develop a novel MCA8k for Gamma-ray spectrometer concerning experimental nuclear physics. An approach for design and construction of the aforementioned instrument is to apply logic integrating techniques via Field Programmable Gate Arrays (FPGA) under Max + PlusII, Altera. The instrument allows interfacing to PC with self-developed application software. Scientific significance of this work is partly to contribute to opening a research direction in the field of nuclear electronics science for design and construction of radiation measurement instruments with the advanced IC technology in Vietnam. Practical significance of this work is partly to contribute to enhancement of capabilities in developing radiation measurement instruments for experimental research as well as practical training in nuclear physics. The advantages of FPGA: overcoming ballistic deficit, decrement of serial and parallel noise, flexible in programming, control of the system by software without an interfere of hardware. The disadvantages of FPGA: requirement of good knowledge of VHDL and professional tools for development of a expected project. A new electronics module of MCA8k has been achieved. Some main results obtained from the experimental testing are as follows: differential nonlinearity (DNL) of FPGA-MCA8k approximately 1.27%, integral nonlinearity (INL) = 0.607%, time conversion ≈ 2.2 μs, deadtime (DT) is 0.75%. Data Acquisition Program MCANRI written in VC (+ +)6.0, self-executed under Windows XP environment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Other 3 23%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Professor 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Physics and Astronomy 3 23%
Engineering 2 15%
Nursing and Health Professions 1 8%
Computer Science 1 8%
Environmental Science 1 8%
Other 0 0%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2019.
All research outputs
#7,447,868
of 22,769,322 outputs
Outputs from SpringerPlus
#493
of 1,852 outputs
Outputs of similar age
#85,545
of 260,467 outputs
Outputs of similar age from SpringerPlus
#27
of 91 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,467 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.