paper-with-me

홈 › Papers

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder

2019-10-04 · Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

High energy particles originating from solar activity travel along the the Earth's magnetic field and interact with the atmosphere around the higher latitudes. These interactions often manifest as aurora in the form of visible light in the Earth's ionosphere. These interactions also result in irregularities in the electron density, which cause disruptions in the amplitude and phase of the radio signals from the Global Navigation Satellite Systems (GNSS), known as 'scintillation'. In this paper we use a multi-scale residual autoencoder (Res-AE) to show the correlation between specific dynamic structures of the aurora and the magnitude of the GNSS phase scintillations ($\sigma_{\phi}$). Auroral images are encoded in a lower dimensional feature space using the Res-AE, which in turn are clustered with t-SNE and UMAP. Both methods produce similar clusters, and specific clusters demonstrate greater correlations with observed phase scintillations. Our results suggest that specific dynamic structures of auroras are highly correlated with GNSS phase scintillations.

📄 PDF Abstract BibTeX arXiv:1910.03085

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

Solana Customer Service Number +1-833-534-1729 설명 없음

Similar Papers 제목 키워드 기반

Ionospheric Scintillation Forecasting Using Machine Learning

2024-08-28 · Sultan Halawa, Maryam Alansaari, Maryam Sharif, Amel Alhammadi 외

This study explores the use of historical data from Global Navigation Satellite System (GNSS) scintillation monitoring receivers to predict the severity of amplitude scintillation, a phenomenon where electron density irr…

Prediction of GNSS Phase Scintillations: A Machine Learning Approach

2019-10-03 · Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff 외

A Global Navigation Satellite System (GNSS) uses a constellation of satellites around the earth for accurate navigation, timing, and positioning. Natural phenomena like space weather introduce irregularities in the Earth…

BIG-bench Machine LearningPrediction

Amplitude Scintillation Forecasting Using Bagged Trees

2022-07-18 · Abdollah Masoud Darya, Aisha Abdulla Al-Owais, Muhammad Mubasshir Shaikh, Ilias Fernini

Electron density irregularities present within the ionosphere induce significant fluctuations in global navigation satellite system (GNSS) signals. Fluctuations in signal power are referred to as amplitude scintillation …

Datasets of ionospheric parameters provided by SCINDA GNSS receiver from Lisbon airport area

2020-02-17 · Tatiana Barlyaeva, Teresa Barata, Anna Morozova

Here we present datasets provided by a SCINDA GNSS receiver installed in the Lisbon airport area from November of 2014 to July of 2019. The installed equipment is a NovAtel EURO4 with a JAVAD Choke-Ring antenna. The data…

Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked Autoencoders

2022-10-24 · Allen Chang, Mary Knapp, James LaBelle, John Swoboda 외

Radio frequency data in astronomy enable scientists to analyze astrophysical phenomena. However, these data can be corrupted by radio frequency interference (RFI) that limits the observation of underlying natural process…

AstronomyDenoisingSSIM