Evidence map›Paper›PMID 29703964›Full record

ArticleScientific reports2018

Opto-mechanical lab-on-fibre seismic sensors detected the Norcia earthquake.

Marco Pisco, Francesco Antonio Bruno, Danilo Galluzzo, Lucia Nardone, Grzegorz Gruca, Niek Rijnveld, Francesca Bianco, Antonello Cutolo, Andrea Cusano

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Marco PiscoOptoelectronic Division - Engineering Dept., University of Sannio, c.so Garibaldi 107, 82100, Benevento, Italy.ORCID http://orcid.org/0000-0002-6355-4380
Francesco Antonio BrunoOptoelectronic Division - Engineering Dept., University of Sannio, c.so Garibaldi 107, 82100, Benevento, Italy.
Danilo GalluzzoIstituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, via Diocleziano 328, 80124, Napoli, Italy.
Lucia NardoneIstituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, via Diocleziano 328, 80124, Napoli, Italy.
Grzegorz GrucaOPTICS11 B.V., De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands.
Niek RijnveldOPTICS11 B.V., De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands.
Francesca BiancoIstituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, via Diocleziano 328, 80124, Napoli, Italy.
Antonello CutoloOptoelectronic Division - Engineering Dept., University of Sannio, c.so Garibaldi 107, 82100, Benevento, Italy.
Andrea CusanoOptoelectronic Division - Engineering Dept., University of Sannio, c.so Garibaldi 107, 82100, Benevento, Italy. a.cusano@unisannio.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have designed and developed lab-on-fibre seismic sensors containing a micro-opto-mechanical cavity on the fibre tip. The mechanical cavity is designed as a double cantilever suspended on the fibre end facet and connected to a proof mass to tune its response. Ground acceleration leads to displacement of the cavity length, which in turn can be remotely detected using an interferometric interrogation technique. After the sensors characterization, an experimental validation was conducted at the Italian National Institute of Geophysics and Volcanology (INGV), which is responsible for seismic surveillance over the Italian country. The fabricated sensors have been continuously used for long periods to demonstrate their effectiveness as seismic accelerometer sensors. During the tests, fibre optic seismic accelerometers clearly detected the seismic sequence that culminated in the severe Mw6.5 Norcia earthquake that struck central Italy on October 30, 2016. The seismic data provided by the optical sensors were analysed by specialists at the INGV. The wave traces were compared with state-of-the-art traditional sensors typically incorporated into the INGV seismic networks. The comparison verifies the high fidelity of the optical sensors in seismic wave detection, indicating their suitability for a novel class of seismic sensors to be employed in practical scenarios.

Identifiers

PMID29703964
PMCPMC5923338

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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.