Andreas Kvammen (0000-0002-5511-4473)

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Biography

I am a motivated and adaptive researcher with a broad interest in science and a particular enthusiasm for space physics and artificial intelligence. I currently hold a researcher position at Tromsø Geophysical Observatory, where I use deep learning techniques to forecast Earth's magnetic response to solar activity. My expertise is primarily in space physics, artificial intelligence, auroral science, computer simulations, statistical inverse problems and data analysis.

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Universitetet i Tromsø – Noregs arktiske universitet: Tromsø, Troms, NO

2024-10-01 to present | Researcher (TGO - Tromsø Geophysical Observatory)

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Andreas Kvammen

https://orcid.org/0000-0002-5511-4473

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Employment (5)

Universitetet i Tromsø – Noregs arktiske universitet: Tromsø, Troms, NO

UiT Norges arktiske universitet: Tromsø, Troms, NO

UiT Norges arktiske universitet: Tromso, Troms, NO

UiT Norges arktiske universitet: Tromso, Troms, NO

Nordic Optical Telescope Scientific Association: Santa Cruz de La Palma, ES

Education and qualifications (4)

UiT Norges arktiske universitet: Tromso, Troms, NO

UiT Norges arktiske universitet: Tromso, Troms, NO

University of Cape Town: Rondebosch, Western Cape, ZA

Universitetet i Bergen: Bergen, Hordaland, NO

Works (21)

Conditions for the Kelvin‐Helmholtz Instability in the Polar Ionosphere

Simulation of interferometric imaging with EISCAT_3D for fine-scale in-beam incoherent scatter spectra measurements

Continuous monitoring of dust impacts across the inner heliosphere by the Solar Orbiter RPW/TDS Maximum Amplitudes

NOIRE-Net–a convolutional neural network for automatic classification and scaling of high-latitude ionograms

Impact ionization double peaks analyzed in high temporal resolution on Solar Orbiter

Interferometric Imaging with EISCAT_3D for Fine-Scale In-Beam Incoherent Scatter Spectra Measurements

Improving the Magic constant – data-based calibration of phased array radars

Bayesian inference of β-meteoroid parameters with Solar Orbiter

Exploring Characteristics of Turbulent Density Fluctuations in the Arctic Ionosphere with Multi-Point Measurements

Machine learning detection of dust impact signals observed by the Solar Orbiter

Machine learning detection of dust impact signals observed by the Solar Orbiter

Machine Learning Detection of Dust Impact Signals Observed by The Solar Orbiter

Auroral Image Classification With Deep Neural Networks

Auroral classification ergonomics and the implications for machine learning

Lumikot: Fast Auroral Transients During the Growth Phase of Substorms

The 3‐D Distribution of Artificial Aurora Induced by HF Radio Waves in the Ionosphere

Authenticating the Presence of a Relativistic Massive Black Hole Binary in OJ 287 Using Its General Relativity Centenary Flare: Improved Orbital Parameters

K2 Campaign 5 observations of pulsating subdwarf B stars: binaries and super-Nyquist frequencies

Discovery of a variable lead-rich hot subdwarf: UVO 0825+15

A Search for QPOs in the Blazar OJ287: Preliminary Results from the 2015/2016 Observing Campaign

PRIMARY BLACK HOLE SPIN IN OJ 287 AS DETERMINED BY THE GENERAL RELATIVITY CENTENARY FLARE

Peer review (3 reviews for 2 publications/grants)