Aug 17 – 21, 2026
National Institute for Space Research, São José dos Campos, SP, Brazil
America/Sao_Paulo timezone

Session

Poster Session

PS
Aug 17, 2026, 10:45 AM
Fernando de Mendonça - LIT (National Institute for Space Research, São José dos Campos, SP, Brazil)

Fernando de Mendonça - LIT

National Institute for Space Research, São José dos Campos, SP, Brazil

Av. dos Astronautas, 1758 - Jardim da Granja, São José dos Campos - SP, 12227-010

Presentation materials

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  1. vinicius deggeroni (INPE)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    We present a preliminary study of the interaction between the solar wind under supersonic and super-Alfvénic conditions in the lunar environment outside the Earth's magnetosphere using a three dimensional magnetohydrodynamic model that solves the ideal MHD-PRJ equations. The model incorporates observationally plasma parameters from upstream monitors (ACE, DSCVR, WIND) as input, allowing a...

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  2. Daniele da Silva Ferreira Medeiros (CBJLSW/INPE)
    8/17/26, 10:45 AM
    Machine Learning in Space, Earth & Atmospheric Sciences
    Poster

    The planetary Kp index is one of the main indicators used to monitor geomagnetic activity. The official Kp index is reported only at 3 hour intervals, making it difficult to resolve rapid changes in geomagnetic activity driven by solar wind variability. In this work, we present a machine learning model developed to estimate the Kp index with a temporal resolution of one minute using...

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  3. Edu Rockenbach (National Institute for Space Research)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    Radial diffusion is a key process controlling the dynamics of relativistic electrons in planetary radiation belts. In Earth’s outer belt, the radial diffusion coefficient (Dll) is typically derived from well-established analytical formulations that relate electromagnetic field fluctuations, particularly ultra-low frequency (ULF) waves, to stochastic radial transport. For Saturn, by contrast,...

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  4. Akshita Bhardwaj (Indian institute of technology Roorkee)
    8/17/26, 10:45 AM
    Machine Learning in Space, Earth & Atmospheric Sciences
    Oral

    Dusty plasma comprises charged dust particles, ions, electrons, etc. They are prevalent outside of Earth as well. In this work, we aim to study the plasma environment outside of Jupiter. Specifically, the shock waves that form when solar wind interacts with Jupiter’s magnetosphere. We also draw comparisons from shock waves in Earth’s and Saturn’s magnetospheres. The methodology comprises Lie...

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  5. Alex Cerqueira da Mota (Instituto Nacional de Pesquisas Espaciais), Dr Franciele Carlesso (Instituto Nacional de Pesquisas Espaciais), Lucas Manfroi
    8/17/26, 10:45 AM
    Instrumentation & Observational Systems
    Poster

    This study investigated sulfuric acid anodizing followed by electrolytic coloring as a surface treatment to produce functional coatings for electromagnetic radiation absorption. The primary objective was to evaluate the technique's efficiency in developing high-performance sensor elements for integration into radiometric systems. The methodology involved the physicochemical, optical, and...

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  6. Ezequiel Echer (Instituto Nacional de Pesquisas Espaciais, São José dos Campos, Brasil)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    The study of planetary magnetospheres boundaries (bow shocks and magnetopauses or induced magnetopauses) is important to study solar wind magnetosphere physical processes. Thus their identification from in situ spacecraft data is of great importance. In this work we present a method based on the Haar wavelet decomposition technique applied to magnetic field measurements from spacecraft in...

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  7. Dr Matheus Alves de Barros (Topotech - Soluções em Topografia e Georreferenciamento)
    8/17/26, 10:45 AM
    Machine Learning in Space, Earth & Atmospheric Sciences
    Oral

    The stability of tailings storage structures represents one of the major challenges in contemporary geotechnical engineering, particularly considering the environmental, social, and economic impacts associated with geotechnical failures. The increasing adoption of filtered tailings systems and dry stacking methods has expanded the use of tailings piles as an alternative to conventional...

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  8. Femi Olajide-Owoyomi (National Institute for Space Research, INPE, Brasil.)
    8/17/26, 10:45 AM
    Instrumentation & Observational Systems
    Poster

    An unsupervised machine learning framework was developed to detect and characterize meteor trails in dual-wavelength resonance LIDAR spectrograms from simultaneous sodium (589 nm) and potassium (770 nm) channels (N=175, 256×256×2). An autoencoder compressed each spectrogram into a latent representation, reduced via global average pooling to a (175, 32) feature vector. Two clustering approaches...

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  9. Aldo Arriola Cordova (Comisión Nacional de Investigación y Desarrollo Aeroespacial, Universidad Nacional de Ingeniería)
    8/17/26, 10:45 AM
    Instrumentation & Observational Systems
    Poster

    Space weather, particularly solar flares, poses a significant risk to global technological infrastructure, affecting satellites, power grids, communications, and navigation. Very Low Frequency (VLF) signals provide a terrestrial alternative for monitoring space weather: their propagation through the Earth‑ionosphere waveguide is sensitive to D‑region disturbances caused by solar X‑rays,...

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  10. ALIU KARIM (NATIONAL INSTITUTE FOR SPACE RESEARCH (INPE))
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    Interplanetary shocks are fundamental agents of energy dissipation and particle acceleration in the heliosphere, playing a critical role in space weather phenomena that affect Earth's technological infrastructure. This study presents a comprehensive investigation of complex interplanetary shock events using multi-spacecraft observations to characterize their physical properties, associated...

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  11. Raul Toscano Faria
    8/17/26, 10:45 AM
    Space Weather Forecasting & Operations
    Oral

    Solar flares represent a major focus in space weather research due to their potential to disrupt satellite operations and critical terrestrial technologies. These phenomena are characterized by rapid variations in X-ray flux, resulting in intense energy releases within the solar atmosphere. To better understand their behavior, this study has utilized the sunpy library to access the X-ray flux...

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  12. Dr Eduardo Flandez (Universidad de Chile)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Oral

    This study investigates how magnetic reconnection reshapes coronal-hole (CH) boundaries during eruptive events. Using high-cadence EUV and magnetogram observations from the Solar Dynamics Observatory on 2015 June 4, we apply Correlation Dimension Mapping (CDM), a technique designed to quantify the geometric complexity of CH boundaries across multiple spatial scales.
    We find that localized jet...

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  13. Júlia Harue Katsurayama
    8/17/26, 10:45 AM
    Instrumentation & Observational Systems
    Poster

    An electrical substitution radiometer (ESR) is an instrument used to measure radiation by comparing the incident optical power with the equivalent electrical power. It works by comparing the electrical power used for the Joule heating of the receiving cone with the absorbed solar radiation required to reach the same temperature. An example of use is the Total Irradiance Monitor (TIM), an...

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  14. JoãoVitor Siqueira
    8/17/26, 10:45 AM
    Instrumentation & Observational Systems
    Poster

    Fluid Jet Polishing (FJP) is a non-contact optical polishing technique that uses an abrasive fluid jet to achieve localized material removal and surface correction. This technique has potential applications in high-precision optical components, such as Fabry–Perot etalons, which require strict control of surface shape, parallelism, and roughness. However, the practical implementation of FJP...

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  15. Dr Balveer Singh Rathore (Government Holkar Science College, Indore)
    8/17/26, 10:45 AM
    Space Weather Forecasting & Operations
    Oral

    Today’s challenge for space weather research is to quantitatively predict the
    dynamics of the magnetosphere from measured solar wind and interplanetary mag
    netic field (IMF) conditions. Correlative studies between geomagnetic storms (GMSs)
    and the various interplanetary (IP) field/plasma parameters have been performed to
    search for the causes of geomagnetic activity and develop models for...

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  16. Pedro Henrique Ferreira Fister
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    The variation of electron flux in the energy range from 0.015 to 51.768 keV is analyzed in association with the occurrence of plasmaspheric plumes under different solar wind conditions. During the formation of these structures, regions of enhanced plasma density extend to higher L-shell values, allowing the propagation of whistler-plume waves. The observed flux variations may be associated...

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  17. João Gabriel Sant' Ana Rodrigues (INPE, UFSM)
    8/17/26, 10:45 AM
    Space Weather Forecasting & Operations
    Poster

    The solar magnetic field is complex and, due to the motion of the solar plasma, it continually twists and accumulates magnetic energy in regions of strong instability. During periods of maximum solar activity, Coronal Mass Ejections (CMEs) occur frequently; these are phenomena in which large quantities of plasma, together with part of the solar magnetic field, are expelled into interplanetary...

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  18. Suzana Silva (University of Sheffield)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Oral

    Coronal mass ejections are well-established drivers of large-scale wave phenomena in the low corona, yet the wave dynamics operating in the extended corona and inner heliosphere have remained almost entirely unexplored. We report here the first combined observational and numerical evidence of coherent, global compressive oscillations propagating through the outer corona and inner heliosphere. ...

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  19. Nouhaïla Bouhadi
    8/17/26, 10:45 AM
    Machine Learning in Space, Earth & Atmospheric Sciences
    Oral

    We investigated the ionospheric response to the 17 March 2015 geomagnetic storm, the most severe event of solar cycle 24 (SYM-H = -233 nT), using GPS-derived total electron content (TEC) observations from the RABT station in Morocco (34°N, 7°W). Vertical TEC (VTEC) was derived from dual-frequency GPS measurements using differential code bias corrections and a 30° elevation cutoff. The results...

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  20. Tumma Anusha (Mahendra Engineering College)
    8/17/26, 10:45 AM
    Space Weather Forecasting & Operations
    Oral

    Increasing solar activity significantly alters the thermospheric density, causing unpredictable orbital decay for satellites in Low Earth Orbit (LEO). This study proposes an intelligent forecasting framework that utilizes Machine Learning to predict real-time changes in atmospheric drag and their subsequent impact on collision probabilities. The primary objective is to develop an autonomous...

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  21. Nouhaïla Bouhadi
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Oral

    We investigated the ionospheric response to the geomagnetic storm of March 17, 2015, using GPS total electron content (TEC) measurements from the IGS station RABT in Rabat, Morocco (34°N, 7°W). This storm, with a minimum SYM-H of -233 nT, was the most severe of solar cycle 24. Vertical TEC was derived from dual-frequency pseudorange measurements using a single-layer mapping function (H=350...

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  22. Rodolfo de Jesus (China-Brazil Joint Laboratory for Space Weather)
    8/17/26, 10:45 AM
    Space Weather Forecasting & Operations
    Poster

    R. de Jesus1,2,3, G. Yang1, A.A. Pimenta3, A.J. de Abreu3,4, L.F.R. Vital1,2,3, O.M. Adebayo3, V.F. Andrioli3, A.M. Santos3, P.P. Batista3, M.P.P. Martins3, L.C.A. Resende3, C.S. Carmo1,2,3, D. Medeiros1,2,3, I.S. Batista3, K. Venkatesh5, P.R. Fagundes6, C. Wang1, H. Li1, Z. Liu1

    1State Key Laboratory of Space Weather, National Space Science Center/Chinese Academy of Sciences, Beijing,...

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  23. Bruna Parisi Hilsdorf (Escola de Engenharia de Lorena - Universidade de São Paulo)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    Understanding and predicting magnetospheric response to variations in interplanetary conditions is a central goal of space physics. Prominent interplanetary structures, such as Coronal Mass Ejections (CMEs) and Corotating Interaction Regions (CIRs), are the main drivers of the geomagnetic storms, which are classified according to the magnitude of Earth’s magnetic field perturbations. These...

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  24. Allen John Darin J (Mahendra Engineering College)
    8/17/26, 10:45 AM
    Machine Learning in Space, Earth & Atmospheric Sciences
    Oral

    Satellite thermal management systems are critical for maintaining the operational integrity of spacecraft, yet they are typically designed as reactive systems. This study presents a novel methodology for predictive thermal health monitoring using Physics-Informed Neural Networks (PINNs) to safeguard satellites against extreme space weather events. The primary objective is to differentiate...

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  25. Laíne Soares (Instituto Nacional de Pesquisas Espaciais)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    Electron heating in the solar wind and the evolution of velocity distribution functions (VDF) remain fundamental questions in space physics. This work presents a numerical study of wave-particle interactions, focusing on electron heating driven by whistler waves. To capture the detailed kinetic effects governing this dynamics, we employ the KEMPO (Kyoto University ElectroMagnetic Particle...

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  26. Sergey Nikiforov (NYUAD)
    8/17/26, 10:45 AM
    Machine Learning in Space, Earth & Atmospheric Sciences
    Oral

    Modeling the Martian nightside thermosphere is challenging due to the absence of direct solar illumination and highly irregular in-situ sampling. We present a multi task physics informed neural network (MT-PINN) trained on more than a decade of MAVEN/NGIMS observations (MY 32-38) to reconstruct the densities of O, CO₂, N₂, and Ar. To represent coupling with space weather drivers, the model...

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  27. Camila Peña Cifuentes (Universidad de Santiago de Chile)
    8/17/26, 10:45 AM
    Space Weather Forecasting & Operations
    Poster

    Relativistic electrons (>2 MeV) in geostationary orbit (GEO) are of great scientific interest because, during disturbed geomagnetic conditions, their fluxes can increase by several orders of magnitude on timescales of just hours. This phenomenon causes internal charging in satellites, damaging their electrical circuits and affecting their operation. Various studies have shown that the flux of...

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  28. Ana Clara Garcia Ilha (Universidade de São Paulo)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    The interaction between the supersonic solar wind and the Earth’s magnetic field forms the bow shock, a collisionless shock wave whose shape and position vary according to solar wind conditions and the interplanetary magnetic field. Empirical models have been developed to describe this shock surface, such as Chao et al. (2002) who proposed an axi-symmetric formulation dependent on solar wind...

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  29. Nathan Mazzon Marquezin (USP)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    The solar wind is an ionized gas built mostly of hydrogen nuclei and energized electrons. These particles are constantly ejected by the Sun. During the period of high solar activity, the plasma ejections become more intense, and extreme events can occur, such as intense coronal mass ejections (CMEs) and solar flares, which can result in severe magnetic storms. The interaction between a super...

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  30. Karen Julia Coldebella Ferreira (National Institute for Space Research (INPE) / NASA Goddard Space Flight Center)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    Energetic electron precipitation over the South Atlantic Magnetic Anomaly (SAMA) is strongly influenced by wave–particle interactions occurring in the inner magnetosphere, especially during disturbed geomagnetic conditions. These precipitation processes can modify the ionization of the upper atmosphere and affect atmospheric chemistry. In this work, a case study of the geomagnetic storm on 22...

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  31. Marcela Xavier Ribeiro (UFSCar)
    8/17/26, 10:45 AM
    Machine Learning in Space, Earth & Atmospheric Sciences
    Poster

    Introduction: In this study, we applied Explainable Artificial Intelligence (XAI) techniques (LIME and SHAP) to a Convolutional Neural Network (CNN) trained to classify Helioseismic and Magnetic Imager (HMI) magnetograms according to the presence/absence of an Hsx sunspot group. Our focus is on Solar Satellite Images (SSIs), where the data constitute a multimodal mixture of regular image...

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  32. Jayne Alencar de Melo (Instituto Nacional de Geofísica Espacial)
    8/17/26, 10:45 AM
    Heliophysics & Space Weather
    Poster

    Ultra-Low Frequency (ULF) waves are fundamental drivers of energy transport within the coupled Magnetosphere-Ionosphere system. While the generation mechanisms for Pc5 (1.7-6.7 mHz) and Pc3 (22-100 mHz) pulsations are global, driven respectively by Kelvin-Helmholtz instabilities or internal resonances, and upstream ion-cyclotron waves, their transmission to the ground at low latitudes is...

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  33. Salma Makhtich (Faculte of Science Semlalia Marrakech Morocco)
    8/17/26, 10:45 AM
    Machine Learning in Space, Earth & Atmospheric Sciences
    Poster

    Space weather, caused by stellar activity such as flares and stellar winds, can strongly affect the atmospheres of exoplanets. These effects are important for understanding whether a planet can keep its atmosphere and potentially support life.
    In this work, we present a simple theoretical overview of how machine learning can help study these effects. We explain how variations in stellar...

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  34. Jose Marchezi (National Institute for Space Research - INPE)
    Space Weather Forecasting & Operations
    Poster

    The Earth’s radiation belts host electron populations that frequently deviate from thermodynamic equilibrium, exhibiting pronounced suprathermal tails and anisotropies driven by wave–particle interactions. Accurately representing these non-Maxwellian features is essential for understanding acceleration processes and improving predictive capabilities. In this work, we introduce an adaptive...

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