Fadil Inceoglu
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View article: Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions
Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions Open
The magnetometers onboard the Geostationary Operational Environmental Satellites (GOES) provide crucial measurements for space weather monitoring and scientific research. However, periodic arcjet thruster firings introduce contamination in…
View article: Using Solar Sails for Sub-L1 Space Weather and Science Solar Wind In-Situ Observations
Using Solar Sails for Sub-L1 Space Weather and Science Solar Wind In-Situ Observations Open
We present work undertaken in collaboration with NOAA, focusing on the application of solar sails for space weather and scientific observations along the Sun-Earth line. NOAA has identified a key research priority to obtain in-situ solar w…
View article:  The Tevolo AI App: Your Companion for Space Weather and Life’s Tasks
 The Tevolo AI App: Your Companion for Space Weather and Life’s Tasks Open
Tevolo will be a versatile, multi-domain mobile application powered by central AI agents that perform user-directed tasks through natural language processing. Users can interact with these AI agents via voice or text in multiple languages,…
View article: Evaluating solar-like behavior in turbulent alpha and Babcock–Leighton mechanisms using non-kinematic nonlinear flux-transport solar dynamos
Evaluating solar-like behavior in turbulent alpha and Babcock–Leighton mechanisms using non-kinematic nonlinear flux-transport solar dynamos Open
In this study, we simulate 30,000 years of solar activity using turbulent-alpha (TA) and Babcock-Leighton (BL) mechanisms in a non-kinematic, nonlinear mean field flux-transport solar dynamo model. We evaluate their performances against ob…
View article: The Distribution of Pc5 Ultralow-frequency Waves at Geostationary Orbit
The Distribution of Pc5 Ultralow-frequency Waves at Geostationary Orbit Open
Using GOES magnetometer data spanning over 30 yr, we study the distribution of Pc5 ultralow-frequency waves at geosynchronous orbit. The CLEAN algorithm was applied to detect narrowband Pc5 waves. This method was first used in astronomical…
View article: Author Correction: Exploring solar dynamo behavior using an annually resolved carbon-14 compilation during multiple grand solar minima
Author Correction: Exploring solar dynamo behavior using an annually resolved carbon-14 compilation during multiple grand solar minima Open
Using these exponential relationships, we can predict the length of the duration of the onset (0.76) and the termination (0.95) periods by using the decay or growth rate of the solar activity levels.The predictability of the durations of t…
View article: Forecasting solar wind speed from coronal holes and active regions
Forecasting solar wind speed from coronal holes and active regions Open
Coronal holes (CHs) have long been known as one of the main sources of high-speed solar wind streams, but recent evidence suggests that active regions (ARs) also play a significant role as solar wind sources. In this study, we aim to inves…
View article: Using the CLEAN Algorithm to Determine the Distribution of Ultra Low Frequency Waves at Geostationary Orbit
Using the CLEAN Algorithm to Determine the Distribution of Ultra Low Frequency Waves at Geostationary Orbit Open
We introduce the CLEAN algorithm to identify narrowband Ultra Low Frequency (ULF) Pc5 plasma waves in Earth’s magnetosphere. The CLEAN method was first used for constructing 2D images in astronomical radio interferometry but has sinc…
View article: Exploring solar dynamo behavior using an annually resolved carbon-14 compilation during multiple grand solar minima
Exploring solar dynamo behavior using an annually resolved carbon-14 compilation during multiple grand solar minima Open
In this study, we, for the first time, compiled all publicly available annually or biannually resolved $$^{14}$$ C records, which fully covers 7 grand solar minima at an annual and bi-annual resolution. Our results from 7 grand solar mi…
View article: Forecasting solar flares with a transformer network
Forecasting solar flares with a transformer network Open
Space weather phenomena, including solar flares and coronal mass ejections, have significant influence on Earth. These events can cause satellite orbital decay due to heat-induced atmospheric expansion, disruption of GPS navigation and tel…
View article: Initial on-Orbit Results from the GOES-18 Spacecraft Science Magnetometer
Initial on-Orbit Results from the GOES-18 Spacecraft Science Magnetometer Open
The Geostationary Operational Environmental Satellite (GOES)-18, the latest spacecraft from the NOAA GOES-R satellite series, was launched March 1, 2022. As with the previous GOES-16 and GOES-17 satellites, GOES-18 monitors sources of spac…
View article: Detection of solar QBO-like signals in earth’s magnetic field from multi-GOES mission data
Detection of solar QBO-like signals in earth’s magnetic field from multi-GOES mission data Open
Through variations in its magnetic activity at different timescales, the Sun strongly influences the space weather conditions throughout the heliosphere. The most known solar activity variation is the Schwabe Cycle, also known as the Sunsp…
View article: Solar Sail Missions for Sub-L1 Sampling of the Interplanetary Magnetic Field and Plasma on the Sun-Earth Line
Solar Sail Missions for Sub-L1 Sampling of the Interplanetary Magnetic Field and Plasma on the Sun-Earth Line Open
Whitepaper #246 in the Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033. Main topics: space weather applications; basic research. Additional topics: space weather research/operations/research loop; inner heliosphere; spa…
View article: Identification of Coronal Holes on AIA/SDO Images Using Unsupervised Machine Learning
Identification of Coronal Holes on AIA/SDO Images Using Unsupervised Machine Learning Open
Through its magnetic activity, the Sun governs the conditions in Earth’s vicinity, creating space weather events, which have drastic effects on our space- and ground-based technology. One of the most important solar magnetic features creat…
View article: Causal Interaction between the Subsurface Rotation Rate Residuals and Radial Magnetic Field in Different Timescales
Causal Interaction between the Subsurface Rotation Rate Residuals and Radial Magnetic Field in Different Timescales Open
We studied the presence and spatiotemporal characteristics and evolution of the variations in the differential rotation rates and radial magnetic fields in the Schwabe and quasi-biennial-oscillation (QBO) timescales. To achieve these objec…
View article: Identification of Coronal Holes on AIA/SDO Images Using Unsupervised Machine Learning
Identification of Coronal Holes on AIA/SDO Images Using Unsupervised Machine Learning Open
Through its magnetic activity, the Sun governs the conditions in Earth’s vicinity, creating space weather events, which have drastic effects on our space- and ground-based technology. One of the most important solar magnetic features…
View article: Causal Interaction between the subsurface rotation rate residuals and radial magnetic field in different timescales
Causal Interaction between the subsurface rotation rate residuals and radial magnetic field in different timescales Open
We studied the presence and spatiotemporal characteristics and evolution of the variations in the differential rotation rates and radial magnetic fields in the Schwabe and Quasi-biennial-oscillation (QBO) timescales. To achieve these objec…
View article: Using Unsupervised and Supervised Machine Learning Methods to Correct Offset Anomalies in the GOES‐16 Magnetometer Data
Using Unsupervised and Supervised Machine Learning Methods to Correct Offset Anomalies in the GOES‐16 Magnetometer Data Open
This study uses supervised and unsupervised machine learning (ML) methods to correct unwanted offsets observed in the NOAA GOES‐16 magnetometer data. All GOES satellites have an inboard and outboard magnetometer sensor mounted along a long…
View article: The Quasi-biennial-oscillation-type Signals in the Subsurface Flow Fields during Solar Cycles 23 and 24
The Quasi-biennial-oscillation-type Signals in the Subsurface Flow Fields during Solar Cycles 23 and 24 Open
We studied the presence and spatiotemporal evolution of quasi-biennial oscillations (QBOs) in the rotation-rate residuals at target depths of 0.90 R ⊙ , 0.95 R ⊙ , and 0.99 R ⊙ and at low- (0°–30°), mid- (30°–50°), and high-latitudinal (50…
View article: The QBO-type signals in the subsurface flow fields during solar cycles 23 and 24
The QBO-type signals in the subsurface flow fields during solar cycles 23 and 24 Open
We studied the presence and spatiotemporal evolution of the quasi-biennial oscillations (QBOs) in the rotation rate residuals at target depths of 0.90$R_{\odot}$, 0.95$R_{\odot}$, and 0.99$R_{\odot}$ and at low (0 -- 30$^{\circ}$), mid (30…
View article: A cloud detection algorithm for satellite imagery based on deep learning
A cloud detection algorithm for satellite imagery based on deep learning Open
View article: Constraining non-linear dynamo models using quasi-biennial oscillations from sunspot area data
Constraining non-linear dynamo models using quasi-biennial oscillations from sunspot area data Open
Context . Solar magnetic activity exhibits variations with periods between 1.5 and 4 years, the so-called quasi-biennial oscillations (QBOs), in addition to the well-known 11-year Schwabe cycles. Solar dynamo is thought to be the mechanism…
View article: Positioning 5G Management Interfacesfor Mega-constellations Management(MegaMan)
Positioning 5G Management Interfacesfor Mega-constellations Management(MegaMan) Open
View article: Using Machine Learning Methods to Forecast if Solar Flares Will Be Associated with CMEs and SEPs
Using Machine Learning Methods to Forecast if Solar Flares Will Be Associated with CMEs and SEPs Open
Among the eruptive activity phenomena observed on the Sun, those that threaten human technology the most are flares with associated coronal mass ejections (CMEs) and solar energetic particles (SEPs). Flares with associated CMEs and SEPs ar…
View article: Hemispheric progression of solar cycles in solar magnetic field data and its relation to the solar dynamo models
Hemispheric progression of solar cycles in solar magnetic field data and its relation to the solar dynamo models Open
Aims. We aim to characterise the solar cycle progression simultaneously at different latitudes in each solar hemisphere using solar magnetic field data provided by the Wilcox Solar Observatory (WSO). We also investigate whether the feature…
View article: Observational evidence for enhanced magnetic activity of superflare stars
Observational evidence for enhanced magnetic activity of superflare stars Open
Superflares are large explosive events on stellar surfaces one to six orders-of-magnitude larger than the largest flares observed on the Sun throughout the space age. Due to the huge amount of energy released in these superflares, it has b…