Evidence map›Paper›PMID 37420794›Full record

ArticleSensors (Basel, Switzerland)2023

Ground Radioactivity Distribution Reconstruction and Dose Rate Estimation Based on Spectrum Deconvolution.

Hang Xu, Xianyun Ai, Ying Wang, Wenzhuo Chen, Zikun Li, Xian Guan, Xing Wei, Jianming Xie, Ye Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hang XuState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
Xianyun AiState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
Ying WangState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
Wenzhuo ChenState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
Zikun LiState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
Xian GuanState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
Xing WeiState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
Jianming XieState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
Ye ChenState Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.ORCID 0000-0002-6493-9186

Funding

National Natural Science Foundation of China 12075318
6 · The paper itself

Abstract

Estimating the gamma dose rate at one meter above ground level and determining the distribution of radioactive pollution from aerial radiation monitoring data are the core technical issues of unmanned aerial vehicle nuclear radiation monitoring. In this paper, a reconstruction algorithm of the ground radioactivity distribution based on spectral deconvolution was proposed for the problem of regional surface source radioactivity distribution reconstruction and dose rate estimation. The algorithm estimates unknown radioactive nuclide types and their distributions using spectrum deconvolution and introduces energy windows to improve the accuracy of the deconvolution results, achieving accurate reconstruction of multiple continuous distribution radioactive nuclides and their distributions, as well as dose rate estimation of one meter above ground level. The feasibility and effectiveness of the method were verified through cases of single-nuclide (

Indexed as

Radiation MonitoringRadioactivityCesium RadioisotopesGamma RaysCesium-137Cesium Radioisotopesdeconvolutiondose rate estimationradioactive distributionresponse matrix

Identifiers

PMID37420794
PMCPMC10302513

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.