Sunday, July 12, 2026
Science
No Result
View All Result
  • Login
  • HOME
  • SCIENCE NEWS
  • CONTACT US
  • HOME
  • SCIENCE NEWS
  • CONTACT US
No Result
View All Result
Scienmag
No Result
View All Result
Home Science News Space

First full 2-D spectral image of aurora borealis from a hyperspectral camera

August 2, 2024
in Space
Reading Time: 4 mins read
0
First full 2-D spectral image of aurora borealis from a
68
SHARES
617
VIEWS
Share on FacebookShare on Twitter
ADVERTISEMENT

Auroras are natural luminous phenomena caused by the interaction of electrons falling from the sky and the upper atmosphere. Most of the observed light consists of emission lines of neutral or ionized nitrogen and oxygen atoms and molecular emission bands, and the color is determined by the transition energy levels, molecular vibrations and rotations. There is a variety of characteristic colors of auroras, such as green and red, but there are multiple theories about the emission process by which they appear in different types of auroras, and to understand the colors of auroras, the light must be broken down. Comprehensive (temporal and spatial) spectral observations are needed to study auroral emission processes and colors in detail.

Figure 1. Observed the different colors of the aurora borealis

Credit: National Institute for Fusion Science

Auroras are natural luminous phenomena caused by the interaction of electrons falling from the sky and the upper atmosphere. Most of the observed light consists of emission lines of neutral or ionized nitrogen and oxygen atoms and molecular emission bands, and the color is determined by the transition energy levels, molecular vibrations and rotations. There is a variety of characteristic colors of auroras, such as green and red, but there are multiple theories about the emission process by which they appear in different types of auroras, and to understand the colors of auroras, the light must be broken down. Comprehensive (temporal and spatial) spectral observations are needed to study auroral emission processes and colors in detail.

Complementarily, the National Institute for Fusion Science (NIFS) has been observing the emission of light from plasma in a magnetic field in the Large Helical Device (LHD). Various systems have been developed to measure the spectrum of light emitted from the plasma, and the processes of energy transport and atomic and molecular emission have been studied. By applying this technology and knowledge to auroral observations, we can contribute to the understanding of auroral luminescence and the study of the energy production process of electrons that gives rise to auroral luminescence.

Aurora observation uses optical filters to obtain images of specific colors, which has the disadvantage of a limited acquisition wavelength with low resolution. On the other hand, a hyperspectral camera has the advantage of obtaining a spatial distribution of the spectrum with high wavelength resolution. We started a plan to develop a high-sensitivity hyperspectral camera in 2018 by combining a lens spectrometer with an EMCCD camera, which had been used in the LHD, with an image-sweep optical system using galvanometer mirrors.

It took five years from the planning stage to develop a highly sensitive system capable of measuring auroras at 1kR (1 kilo-Rayleigh). In May 2023, this system was installed at KEOPS at the Swedish Space Corporation’s Esrange Space Center in Kiruna, Sweden, which is located just below the auroral belt and can observe auroras with high frequency. The system succeeded in acquiring hyperspectral images of the auroras, that is, two-dimensional images of them broken down by wavelength. Observations began in September 2023, and the data has been acquired remotely in Japan.

Auroral emission intensities and the observation positions were calibrated, based on the positions of stars obtained after installation, and the data will be made publicly available and ready to use.  Using the observation data from an aurora break-up that occurred on October 20, 2023, we clarified what kind of data could be viewed using this system. In the process, we estimated the energy of electrons from the intensity ratio of light at different wavelengths, which led to the publication of this paper.

Figure 1 shows the difference in the color of the aurora when electrons arrive at low energies and speeds and when they arrive at high energies and speeds. When the electrons are slow, they emit strong red light at high altitudes. On the other hand, when the electrons are fast, they penetrate to lower altitudes and emit a strong green or purple light. Figure 2 is a two-dimensional image of auroras resolved into each color (wavelength) observed with the state-of-the-art hyperspectral camera. The different distribution by color was observed because the elements that produce the light differ according to the height at which the light is generated. Thus, we have succeeded in developing a device that can obtain two-dimensional images of the various colors produced by the aurora borealis.

From the ratio of the intensity of the red light (630nm) to the purple light (427.8nm), we can determine the energy of the incoming electrons that caused the aurora. Using the hyperspectral camera (HySCAI), which is capable of fine spectroscopy of light, the energy of the incoming electrons during the auroral explosion observed at this time was estimated to be 1600 electron volts (an energy equivalent to the voltage of about 1000 dry-cell batteries). There were no major discrepancies with previously known values, indicating that the observations were valid. The Hyperspectral Camera (HySCAI) is expected to contribute to solving important auroral issues such as the distribution of precipitating electrons, their relationship to auroral color, and the mechanism of auroral emission.

For the first time, a detailed spatial distribution of color (a two-dimensional image), a hyperspectral image of the aurora borealis, has been obtained. Many previous auroral studies have used a system in which light is selected by a filter that passes only certain wavelengths. This system compensates for the disadvantage of observing only a limited number of wavelengths. By observing detailed changes in the spectrum, it will contribute to the advancement of auroral research. On the other hand, the system will also provide insight into energy transport due to the interaction between charged particles and waves in a magnetic field, which is also attracting attention in fusion plasmas. It is expected that this interdisciplinary study will be advanced in cooperation with universities and research institutes in Japan and abroad, and will contribute to the development of worldwide aurora research.



Journal

Earth Planets and Space

DOI

10.1186/s40623-024-02039-y

Method of Research

Experimental study

Subject of Research

Not applicable

Article Title

Development of Hyperspectral Camera for Auroral Imaging

Article Publication Date

2-Aug-2024

Share27Tweet17
Previous Post

Turkey vultures fly faster to defy thin air

Next Post

Healthy AI: Sustainable artificial intelligence for healthcare

Related Posts

Multimessenger Universe Advances Frontier AI Training Techniques
Space

Multimessenger Universe Advances Frontier AI Training Techniques

July 10, 2026
Isotopic Evidence Reveals Late Molecular Cloud Infall in Outer Solar System
Space

Isotopic Evidence Reveals Late Molecular Cloud Infall in Outer Solar System

July 10, 2026
Near-Earth Object Shows Comet-Like Non-Gravitational Acceleration
Space

Near-Earth Object Shows Comet-Like Non-Gravitational Acceleration

July 10, 2026
ASU Astronomers Uncover Cloud Effects on Common Exoplanet Interiors
Space

ASU Astronomers Uncover Cloud Effects on Common Exoplanet Interiors

July 9, 2026
Satellites Track Penguin Poo Color to Reveal Climate Change Impact
Space

Satellites Track Penguin Poo Color to Reveal Climate Change Impact

July 9, 2026
Uncovering the Mysterious Presence Within Orion’s Nebula Shell
Space

Uncovering the Mysterious Presence Within Orion’s Nebula Shell

July 9, 2026
Next Post
Healthy AI: Sustainable artificial intelligence for healthcare

Healthy AI: Sustainable artificial intelligence for healthcare

  • Mothers who receive childcare support from maternal grandparents show more

    Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study

    27656 shares
    Share 11059 Tweet 6912
  • University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept

    1061 shares
    Share 424 Tweet 265
  • Bee body mass, pathogens and local climate influence heat tolerance

    682 shares
    Share 273 Tweet 171
  • Researchers record first-ever images and data of a shark experiencing a boat strike

    546 shares
    Share 218 Tweet 137
  • Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function

    531 shares
    Share 212 Tweet 133
Science

Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!

RECENT NEWS

  • KAIST Creates AI to Detect Early Cerebrovascular Disease Signs at Home
  • Anthropometric Traits and Metabolic Biomarkers Linked to Pancreatic Cancer Risk
  • Sedentary Time and Sleep Impact Cognitive Health in Older Diabetics
  • Digital therapy offers new support for dementia caregivers

Categories

  • Agriculture
  • Anthropology
  • Archaeology
  • Athmospheric
  • Biology
  • Biotechnology
  • Blog
  • Bussines
  • Cancer
  • Chemistry
  • Climate
  • Earth Science
  • Editorial Policy
  • Marine
  • Mathematics
  • Medicine
  • Pediatry
  • Policy
  • Psychology & Psychiatry
  • Science Education
  • Social Science
  • Space
  • Technology and Engineering

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 5,146 other subscribers

© 2025 Scienmag - Science Magazine

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • HOME
  • SCIENCE NEWS
  • CONTACT US

© 2025 Scienmag - Science Magazine

Discover more from Science

Subscribe now to keep reading and get access to the full archive.

Continue reading