Evidence map›Paper›PMID 42215637›Full record

ArticleScientific reports2026

Spatial dealiasing of classical geomagnetic survey data through use of a microfabricated wearable quantum magnetometer.

Stirling Scholes, Alissa Forsythe, Courtney Dyer, Amy Gilligan, Karen Lythgoe, Jenny Jenkins, Marcin Mrozowski, Jack-Andrew Smith, Stuart Ingleby

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

9 authors.

Stirling ScholesDepartment of Physics, SUPA, University of Strathclyde, Glasgow, G4 0NG, Scotland. s.scholes@strath.ac.uk.
Alissa ForsytheSchool of Geosciences, University of Edinburgh, Edinburgh, EH9 3FE, Scotland.
Courtney DyerDepartment of Physics, SUPA, University of Strathclyde, Glasgow, G4 0NG, Scotland.
Amy GilliganDepartment of Geology and Geophysics, University of Aberdeen, Aberdeen, AB24 3FX, Scotland.
Karen LythgoeSchool of Geosciences, University of Edinburgh, Edinburgh, EH9 3FE, Scotland.
Jenny JenkinsDepartment of Earth Sciences, Durham University, Durham, DH1 3LE, England.
Marcin MrozowskiDepartment of Physics, SUPA, University of Strathclyde, Glasgow, G4 0NG, Scotland.
Jack-Andrew SmithSchool of Geosciences, University of Edinburgh, Edinburgh, EH9 3FE, Scotland.
Stuart InglebyDepartment of Physics, SUPA, University of Strathclyde, Glasgow, G4 0NG, Scotland.

Funding

Natural Environment Research Council NE/S007407/1UK Quantum Technology Research Hub in Sensing, Imaging and Timing (QuSIT) EP/Z533166/1
6 · The paper itself

Abstract

Geomagnetic surveys provide insight into the subsurface for a range of applications, from fundamental understanding of geological processes, to mineral exploration and locating unexploded ordnance. A persistent challenge in performing such geomagnetic surveys is the joint problem of anthropogenic noise rejection and spatial aliasing, where the limited bandwidth (< 10 Hz) of traditional surveying instruments introduces artefacts into the surveyed field. Optically Pumped Magnetometers (OPMs) exploit quantum mechanical effects to achieve highly sensitive and stable magnetic field measurements at comparatively high bandwidths. Recent advances in manufacturing have enabled OPMs to be packaged in compact and lightweight systems (∼ 1kg), that are ideal for geomagnetic surveying. Here, we show how an OPM can directly contribute to the reduction of spatial aliasing in traditional PPM data. We carry both a PPM and OPM over a 20 km long transect across the Highland Boundary Fault (HBF) in Scotland. We leverage the continuous acquisition of the OPM sampling at 90 Hz, equivalent to every ∼1 cm at walking pace (1 m.[Formula: see text]) versus every ∼200 m for our PPM (which had to be stationary for measurements) to reject magnetic noise and identify new small-scale (< 200 m) geological structures. Further, we discuss the logistical advantages of the hybrid survey in terms of portability, survey delivery, data density, and data quality.

Identifiers

PMID42215637
PMCPMC13454324

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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.