Recent additions

  • Deriving the Ionospheric Electric Field From the Bulk Motion of Radar Aurora in the E-Region 

    Ivarsen, Magnus Fagernes; St‐Maurice, Jean-Pierre; Huyghebaert, Devin Ray; Gillies, D. Megan; Lind, Frank; Pitzel, Brian; Hussey, Glenn C. (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-28)
    In the auroral E‐region strong electric fields can create an environment characterized by fast plasma drifts. These fields lead to strong Hall currents which trigger small‐scale plasma instabilities that evolve into turbulence. Radio waves transmitted by radars are scattered off of this turbulence, giving rise to the ‘radar aurora’. However, the Doppler shift from the scattered signal does not ...
  • Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification 

    Chen, Weibin; Tsamados, Michel; Willatt, Rosemary; Takao, So; Brockley, David; de Rijke-Thomas, Claude; Francis, Alistair; Johnson, Thomas; Landy, Jack Christopher; Lawrence, Isobel R.; Lee, Sanggyun; Nasrollahi Shirazi, Dorsa; Liu, Wenxuan; Nelson, Connor; Stroeve, Julienne C.; Hirata, Len; Deisenroth, Marc Peter (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-10)
    The Sentinel-3A and Sentinel-3B satellites, launched in February 2016 and April 2018 respectively, build on the legacy of CryoSat-2 by providing high-resolution Ku-band radar altimetry data over the polar regions up to 81° North. The combination of synthetic aperture radar (SAR) mode altimetry (SRAL instrument) from Sentinel-3A and Sentinel-3B, and the Ocean and Land Colour Instrument (OLCI) imaging ...
  • Cross-modality sub-image retrieval using contrastive multimodal image representations 

    Breznik, Eva; Wetzer, Elisabeth; Lindblad, Joakim; Sladoje, Nataša (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-13)
    In tissue characterization and cancer diagnostics, multimodal imaging has emerged as a powerful technique. Thanks to computational advances, large datasets can be exploited to discover patterns in pathologies and improve diagnosis. However, this requires efficient and scalable image retrieval methods. Cross-modality image retrieval is particularly challenging, since images of similar (or even the ...
  • Overview of the First Pathloss Radio Map Prediction Challenge 

    Yapar, Cagkan; Jaensch, Fabian; Levie, Ron; Kutyniok, Gitta Astrid Hildegard; Caire, Giuseppe (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-06-26)
    Pathloss quantifies the reduction in power density of a signal radiated from a transmitter. The attenuation is due to large-scale effects such as free-space propagation loss and interactions (e.g., penetration, reflection, and diffraction) of the signal with objects such as buildings, vehicles, trees, and pedestrians in the propagation environment. Many current or planned wireless communications ...
  • Automated Sentinel-1 ice type mapping and in-situ validation during the CIRFA-22 cruise 

    Lohse, Johannes Philipp; Taelman, Catherine Cecilia A; Everett, Alistair; Hughes, Nick (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-13)
    We present a fully-automated workflow to map sea ice types from Sentinel-1 data and transfer the results in near real-time to the research vessel Kronprins Haakon (KPH) in order to support tactical navigation and decision-making during a research cruise conducted towards Belgica Bank in April and May 2022. We used overlapping SAR and optical imagery to train a pixel-wise classifier for the required ...
  • A three-point velocity estimation method for two-dimensional coarse-grained imaging data 

    Losada, Juan Manuel; Helgeland, Aurora Driveklepp; Terry, J.L.; Garcia, Odd Erik (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-09-04)
    Time delay and velocity estimation methods have been widely studied subjects in the context of signal processing, with applications in many different fields of physics. The velocity of waves or coherent fluctuation structures is commonly estimated as the distance between two measurement points divided by the time lag that maximizes the cross correlation function between the measured signals, but ...
  • Waves and Instabilities in Saturn's Magnetosheath: 1 Mirror Mode Waves and Their Impact on Magnetopause Reconnection 

    Cheng, I; Achilleos, Nicholas; Blanco-Cano, X; Bertucci, Cesar; Sergis, N; Paranicas, Chris; Guio, Patrick (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-03)
  • Waves and Instabilities in Saturn’s magnetosheath: 2 Dispersion relation analysis 

    Cheng, I; Achilleos, Nicholas; Blanco-Cano, X; Bertucci, Cesar; Guio, Patrick (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-03)
  • Multi-Instrument and SAMI3-TIDAS Data Assimilation Analysis of Three-Dimensional Ionospheric Electron Density Variations During the April 2024 Total Solar Eclipse 

    Aa, Ercha; Huba, Joseph; Zhang, Shun-Rong; Coster, Anthea J.; Erickson, Philip J.; Goncharenko, Larisa P.; Vierinen, Juha-Pekka; Rideout, William (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-31)
    This paper conducts a multi-instrument and data assimilation analysis of the three-dimensional ionospheric electron density responses to the total solar eclipse on 08 April 2024. The altitude-resolved electron density variations over the continental US and adjacent regions are analyzed using the Millstone Hill incoherent scatter radar data, ionosonde observations, Swarm in situ measurements, and a ...
  • Characterising the magnetic and plasma environment upstream of Ganymede 

    Santos, A; Achilleos, Nicholas; Millas, Dimitrios; Dunn, W; Guio, Patrick; Arridge, Christopher (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-10-17)
    We present an application of the latest UCL‐AGA magnetodisc model (MDISC) to the study of the magnetic and plasma conditions in the near‐Ganymede space. By doing this, we provide a comparison with measurements from Juno's most recent flyby of the Jovian moon, perijove 34 (PJ34). We find good agreement between the model results and the magnetometer data, pointing toward a hot plasma index value ...
  • Defending Against Poisoning Attacks in Federated Learning with Blockchain 

    Dong, Nanqing; Wang, Zhipeng; Sun, Jiahao; Kampffmeyer, Michael Christian; Knottenbelt, William; Xing, Eric (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-18)
    In the era of deep learning, federated learning (FL) presents a promising approach that allows multiinstitutional data owners, or clients, to collaboratively train machine learning models without compromising data privacy. However, most existing FL approaches rely on a centralized server for global model aggregation, leading to a single point of failure. This makes the system vulnerable to ...
  • Machine learning for gap-filling in greenhouse gas emissions databases 

    Cullen, Luke; Marinoni, Andrea; Cullen, Jonathan (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-10)
    Greenhouse gas (GHG) emissions datasets are often incomplete due to inconsistent reporting and poor transparency. Filling the gaps in these datasets allows for more accurate targeting of strategies aiming to accelerate the reduction of GHG emissions. This study evaluates the potential of machine learning methods to automate the completion of GHG datasets. We use three datasets of increasing complexity ...
  • Turbulence Around Auroral Arcs 

    Ivarsen, Magnus Fagernes; Huyghebaert, Devin Ray; Gillies, Megan D.; St-Maurice, Jean-Pierre; Themens, David R.; Oppenheim, Meers; Gustavsson, Björn Johan; Billett, Daniel; Pitzel, Brian; Galeschuk, Draven; Donovan, Eric; Hussey, Glenn C. (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-18)
    The spectacular visual displays from the aurora come from curtains of excited atoms and molecules, impacted by energetic charged particles. These particles are accelerated from great distances in Earth's magnetotail, causing them to precipitate into the ionosphere. Energetic particle precipitation is associated with currents that generate electric fields, and the end result is a dissipation of the ...
  • Turbulence Embedded Into the Ionosphere by Electromagnetic Waves 

    Ivarsen, Magnus Fagernes; Gillies, Megan D.; Huyghebaert, Devin Ray; St-Maurice, Jean-Pierre; Lozinsky, Adam; Galeschuk, Draven; Donovan, Eric; Hussey, Glenn C. (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-19)
    When charged particles are accelerated from Earth's magnetosphere and precipitate into the atmosphere, their impact with neutral gas creates the aurora. Structured electric fields drive the acceleration processes but they are also passed down to the ionosphere, meaning that turbulence can in part be embedded into the ionosphere rather than emerge through instability processes locally. Applying a ...
  • Incipient fault detection and isolation with Cauchy–Schwarz divergence: A probabilistic approach 

    Lv, Feiya; Yu, Shujian; Ye, Huawei; Zhao, Jinsong; Wen, Chenglin (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-02)
    To monitor the dynamics and non-stationarity inherent in industrial processes, we propose a novel incipient fault detection and isolation scheme grounded in a probabilistic perspective, using the Cauchy–Schwarz (CS) divergence. Our innovation lies in the utilization of marginal CS divergence for incipient fault detection and the conditional CS divergence for fault isolation. This approach neither ...
  • Roadmap on computational methods in optical imaging and holography [invited] 

    Rosen, Joseph; Alford, Simon; Allan, Blake; Anand, Vijayakumar; Arnon, Shlomi; Arockiaraj, Francis Gracy; Art, Jonathan; Bai, Bijie; Balasubramaniam, Ganesh M.; Birnbaum, Tobias; Bisht, Nandan S.; Blinder, David; Cao, Liangcai; Chen, Qian; Chen, Ziyang; Dubey, Vishesh Kumar; Egiazarian, Karen; Ercan, Mert; Forbes, Andrew; Gopakumar, G.; Gao, Yunhui; Gigan, Sylvain; Goclowski, Pawel Piotr; Gopinath, Shivasubramanian; Greenbaum, Alon; Horisaki, Ryoichi; Ierodiaconou, Daniel; Juodkazis, Saulius; Karmakar, Tanushree; Katkovnik, Vladimir; Khonina, Svetlana N.; Kner, Peter; Kravets, Vladislav; Kumar, Ravi; Lai, Yingming; Li, Chen; Li, Jiaji; Li, Shaoheng; Li, Yuzhu; Liang, Jinyang; Manavalan, Gokul; Mandal, Aditya Chandra; Manisha, Manisha; Mann, Christopher; Marzejon, Marcin J.; Moodley, Chané; Morikawa, Junko; Muniraj, Inbarasan; Narbutis, Donatas; Ng, Soon Hock; Nothlawala, Fazilah; Oh, Jeonghun; Ozcan, Aydogan; Park, YongKeun; Porfirev, Alexey P.; Potcoava, Mariana; Prabhakar, Shashi; Pu, Jixiong; Rai, Mani Ratnam; Rogalski, Mikołaj; Ryu, Meguya; Choudhary, Sakshi; Salla, Gangi Reddy; Schelkens, Peter; Şener, Sarp Feykun; Shevkunov, Igor; Shimobaba, Tomoyoshi; Singh, Rakesh K.; Singh, Ravindra P.; Stern, Adrian; Sun, Jiasong; Zhou, Shun; Zuo, Chao; Zurawski, Zack; Tahara, Tatsuki; Tiwari, Vipin; Trusiak, Maciej; Vinu, R.V.; Volotovskiy, Sergey G.; Yılmaz, Hasan; De Aguiar, Hilton Barbosa; Ahluwalia, Balpreet Singh; Ahmad, Azeem (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-08-29)
    Computational methods have been established as cornerstones in optical imaging and holography in recent years. Every year, the dependence of optical imaging and holography on computational methods is increasing significantly to the extent that optical methods and components are being completely and efficiently replaced with computational methods at low cost. This roadmap reviews the current scenario ...
  • Characterizing the consistency of motion of spermatozoa through nanoscale motion tracing 

    Bhatt, Sunil; Butola, Ankit; Acuña, Sebastian; Hansen, Daniel Henry; Tinguely, Jean-Claude; Nystad, Mona; Mehta, Dalip Singh; Agarwal, Krishna (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-07-06)
    Objective: To demonstrate nanoscale motion tracing of spermatozoa and present analysis of the motion traces to characterize the consistency of motion of spermatozoa as a complement to progressive motility analysis.<p> <p>Design: Anonymized sperm samples were videographed under a quantitative phase microscope, followed by generating and analyzing superresolution motion traces of individual ...
  • Skibotn Astrofysiske Observatorium. Et forsøk på å innføre observasjonsastrofysikk i Norge 1971 - 2002 - Og hvordan det gikk etterpå. 

    Solheim, Jan-Erik (Book; Bok, 2024)
    I forbindelse med etableringen av Universitetet i Tromsø ble det undersøkt om det var gode nok forhold for infrarøde astrofysiske observasjoner i lange, kalde vinternetter i Indre Troms. Mest klarvær om vinteren fant vi i ytre del av Skibotndalen. Fjellet Addjet (1405 m.o.h) ble i 1974 foreslått som sted for observatorium. Dette ble imidlertid vurdert for krevende og kostbart. Det ble i stedet vedtatt ...
  • The effect of spatial resolution on the in-cloud atmospheric icing conditions in numerical weather model at the Fargernes mountain, Norway 

    Birkelund, Yngve; Punde, Pravin Bhausaheb; Strand, Jonas Mundheim (Chapter; Bokkapittel, 2024-06)
    Atmospheric icing poses significant risks to infrastructure, aviation, and the energy section. Numerical weather models, as the Weather Research and Forecasting model (WRF), can be used to describe the atmospheric conditions relevant for atmospheric icing. In this study, we will focus on the Fagernes mountain meteorological icing measurement site where the WRF model is set up using ERA5 input data, ...
  • Atmospheric In-cloud Icing Using WRF for an Alpine Wind Power Plant in Norway 

    Strand, Jonas Mundheim; Birkelund, Yngve; Punde, Pravin Bhausaheb (Chapter; Bokkapittel, 2024-06)
    Troms Kraft have identified a location in Kvænangen, Norway, for a new wind power plant with promising wind resources. However, the site is in an arctic climate with mountainous terrain exposed to severe icing conditions. Assessments of icing conditions at proposed locations for new wind power plants in areas exposed to icing is crucial to identifying icing related challenges. This paper investigates ...

View more