Evidence map›Paper›PMID 42050029›Full record

ArticleScientific reports2026

High spatial resolution of the rotational sensor array in the explosion sources localization.

Anna T Kurzych, Leszek R Jaroszewicz, Grzegorz Lizurek, Bartosz Sakowicz, Michał Dudek, Karol Konarski, Paweł Zinówko

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

7 authors.

Anna T KurzychMilitary University of Technology, Warsaw, 00-908, Poland. anna.kurzych@wat.edu.pl.
Leszek R JaroszewiczMilitary University of Technology, Warsaw, 00-908, Poland.
Grzegorz LizurekInstitute of Geophysics, Polish Academy of Sciences, Warsaw, 01-452, Poland.
Bartosz SakowiczLodz University of Technology, Łódź, 93-005, Poland.
Michał DudekMilitary University of Technology, Warsaw, 00-908, Poland.
Karol KonarskiElproma Electronics Ltd., Czosnów, 05-152, Poland.
Paweł ZinówkoElproma Electronics Ltd., Czosnów, 05-152, Poland.

Funding

The Polish Agency for Enterprise Development FENG.01.01-IP.02-1714/23
6 · The paper itself

Abstract

In the face of increasing security requirements, threat identification requires technology with uncompromising sensitivity and responsiveness. This article presents a sensor with enhanced sensitivity, designed to detect rotational ground movement. Its physical basis on the Sagnac effect provides an absolute measurement of rotation. From a geotechnical and engineering perspective, the configuration of several such sensors enables precise determination of the epicentral coordinates of seismic events and identification of local material degradation zones, where differences in signal transit time and amplitude between individual network nodes provide the basis for mapping discontinuities in the studied medium. The primary goal of the presented research was to verify the feasibility of creating an integrated sensor array capable of precisely monitoring a defined area. Using highly correlated sensors with time synchronization of the order of 10 ns we obtained signals from artificial disturbances. The time-of-arrival analysis of recorded sensor signals successfully demonstrated the ability to quickly determine the locations of explosions. The presented solution offers new perspectives for early warning systems, providing not only threat detection but also accurate spatial positioning of threats using highly sensitive rotational sensors.

Indexed as

Hypocenter localizationRotational sensorSensors arrayVibration detection

Identifiers

PMID42050029
PMCPMC13315754

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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.