Evidence map›Paper›PMID 40691683›Full record

ArticleScientific reports2025

The first observations of auroras with dynamic vision sensors.

Andreas Stokholm, Njål Gulbrandsen, Nicolas Pedersen, Andrzej Kucik, Daniel Haugård Olesen, Anna Naemi Willer, Olivier Chanrion, Sine Munk Hvidegaard

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Andreas StokholmDTU Space, Technical University of Denmark, Elektrovej building 327, Kgs. Lyngby, 2800, Denmark. stokholm@space.dtu.dk.
Njål GulbrandsenTromsø Geophysical Observatory, The Arctic University of Norway, Prestvannvegen 40, Tromsø, 9011, Norway.
Nicolas PedersenDTU Space, Technical University of Denmark, Elektrovej building 327, Kgs. Lyngby, 2800, Denmark.
Andrzej Kucikϕ-lab, European Space Research Institute, The European Space Agency, Via Galileo Galilei, 1, Frascati, RM, 00044, Italy.
Daniel Haugård OlesenDTU Space, Technical University of Denmark, Elektrovej building 327, Kgs. Lyngby, 2800, Denmark.
Anna Naemi WillerDTU Space, Technical University of Denmark, Elektrovej building 327, Kgs. Lyngby, 2800, Denmark.
Olivier Chanrion *DTU Space, Technical University of Denmark, Elektrovej building 327, Kgs. Lyngby, 2800, Denmark.
Sine Munk Hvidegaard *DTU Space, Technical University of Denmark, Elektrovej building 327, Kgs. Lyngby, 2800, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auroras are space weather light phenomena caused by interactions between the solar wind, Earth's magnetic field, and Earth's atmosphere. Scientific aurora images are often captured with camera exposure times of up to 1-2 seconds for sufficient light input. However, long exposure times also intensify other light emissions, e.g. urban- and moonlight, thus, dark night conditions are preferred. Studies have carried out high-speed imaging with up to 160 Hz, but higher has been elusive. Here, we propose to use the emerging Dynamic Vision Sensors (DVS) technology as an alternative or complementary imaging approach for auroras with high dynamic range (110-120 dB) and sampling rate (5KHz-1MHz). We present the first observations of auroras at 5KHz using DVS, highlighting the potential use within this application. Approaches to reconstructing the brightness intensity image are introduced, giving the photon flux for each pixel and the whole sensor, mimicking a photometer. We show that DVS can observe auroras in challenging urban- and moonlight conditions in high-temporal resolution, enabling a paradigm shift within the scientific field. Finally, we discuss the use of DVS more broadly within geoscience.

Identifiers

PMID40691683
PMCPMC12280176

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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.