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Quantum Harmonic Structuring of Filaments and Voids via Resonance-Suppression Fields
Simon Ashley Tomlinson
Posted: 09 April 2025
The Influence of Observation Media on Spacetime Effects and the Limitations of Special Relativity
Kaijun Dong,
Xiaoru Dong
Posted: 31 March 2025
A Hybrid Approach to Dark Matter Based upon Hawking’s Cosmology, a Natural Explanation for Flat Rotation Curves as Well as an Improved Prediction Algorithm for Rotation Velocities
G.M. van Uffelen
Hawking’s cosmology logically leads to an observed multiverse. This article argues it is a superposition of at least three 3-dimensional universes in a 4-dimensional space, of which two dimensions overlap with our universe. Nothing that could disturb the superposition exists outside it. This explains why dark matter causes a linear decrease in gravity with distance to visible mass at large radii in galaxies. To support this, the visible matter distribution in the disks and bulges, calculated by the SPARC team, and the observed rotation velocities have been used. Lelli and Mistele showed that the common way to project dark matter halos around galaxies cannot be valid. Since General Relativity would need these halos too, it must be modified with additional terms, or an added wire-like mass must be modelled in galaxies with the Levi-Civita metric. Bekenstein and the paper in hand respectively do this. Using TeVeS, the decay of the contribution of dark matter to gravity with the expansion of space is confirmed. This explains the rapid development of large galaxies in the early universe as reported by Labbé. A new prediction method for rotation velocities that works at all radii in galaxies is offered. It is 21 to 28 % more accurate than MOND and TeVeS. It gives a logical explanation of the meaning of Milgrom's contant and the Tully-Fisher relationship does directly follow from the hypothesis.
Hawking’s cosmology logically leads to an observed multiverse. This article argues it is a superposition of at least three 3-dimensional universes in a 4-dimensional space, of which two dimensions overlap with our universe. Nothing that could disturb the superposition exists outside it. This explains why dark matter causes a linear decrease in gravity with distance to visible mass at large radii in galaxies. To support this, the visible matter distribution in the disks and bulges, calculated by the SPARC team, and the observed rotation velocities have been used. Lelli and Mistele showed that the common way to project dark matter halos around galaxies cannot be valid. Since General Relativity would need these halos too, it must be modified with additional terms, or an added wire-like mass must be modelled in galaxies with the Levi-Civita metric. Bekenstein and the paper in hand respectively do this. Using TeVeS, the decay of the contribution of dark matter to gravity with the expansion of space is confirmed. This explains the rapid development of large galaxies in the early universe as reported by Labbé. A new prediction method for rotation velocities that works at all radii in galaxies is offered. It is 21 to 28 % more accurate than MOND and TeVeS. It gives a logical explanation of the meaning of Milgrom's contant and the Tully-Fisher relationship does directly follow from the hypothesis.
Posted: 31 March 2025
Beyond the Magnetic Monopole: The Magnetic Metapole
Angelo De Santis,
Roberto Dini
Posted: 31 March 2025
Origin of Space Weather, Radiation, and Its Impact on Planetary Bodies in the Solar System
Sankha Debnath
Posted: 29 March 2025
Harang Discontinuity Observed by Multi-Instrument Satellites in the Topside Ionosphere During Substorms
Ildiko Horvath,
Brian C. Lovell
Posted: 25 March 2025
Using Machine Learning for Lunar Mineralogy-I: Hyperspectral Imaging of Volcanic Samples
Fatemeh Fazel Hesar,
Mojtaba Raouf,
Peyman Soltani,
Bernard Foing,
Michiel J.A. De Dood,
Fons J. Verbeek
This study examines the mineral composition of volcanic samples similar to lunar materials, focusing on olivine and pyroxene. Using hyperspectral imaging (HSI) from 400 to 1000 nm, we created data cubes to analyze reflectance characteristics of samples from Italy’s Vulcano region, categorizing them into nine regions of interest (ROIs) and analysing spectral data for each. We applied various unsupervised clustering algorithms, including K-Means, Hierarchical Clustering, Gaussian Mixture Models (GMM), and Spectral Clustering, to classify the spectral profiles. Principal Component Analysis (PCA) revealed distinct spectral signatures associated with specific minerals, facilitating precise identification. Clustering performance varied by region, with K-Means achieving the highest silhouette score of 0.47, whereas GMM performed poorly with a score of only 0.25. Non-negative Matrix Factorization (NMF) aided in identifying similarities among clusters across different methods and reference spectra for olivine and pyroxene. Hierarchical clustering emerged as the most reliable technique, achieving a 94% similarity with the olivine spectrum in one sample, whereas GMM exhibited notable variability. Overall, the analysis indicated that both Hierarchical and K-Means methods yielded lower errors in total measurements, with K-Means demonstrating superior performance in estimated dispersion and clustering. Additionally, GMM showed a higher root mean square error (RMSE) compared to the other models. The RMSE analysis confirmed K-Means as the most consistent algorithm across all samples, suggesting a predominance of olivine in the Vulcano region relative to pyroxene. This predominance is likely linked to historical formation conditions similar to volcanic processes on the Moon, where olivine-rich compositions are common in ancient lava flows and impact melt rocks. These findings provide a deeper context for mineral distribution and formation processes in volcanic landscapes.
This study examines the mineral composition of volcanic samples similar to lunar materials, focusing on olivine and pyroxene. Using hyperspectral imaging (HSI) from 400 to 1000 nm, we created data cubes to analyze reflectance characteristics of samples from Italy’s Vulcano region, categorizing them into nine regions of interest (ROIs) and analysing spectral data for each. We applied various unsupervised clustering algorithms, including K-Means, Hierarchical Clustering, Gaussian Mixture Models (GMM), and Spectral Clustering, to classify the spectral profiles. Principal Component Analysis (PCA) revealed distinct spectral signatures associated with specific minerals, facilitating precise identification. Clustering performance varied by region, with K-Means achieving the highest silhouette score of 0.47, whereas GMM performed poorly with a score of only 0.25. Non-negative Matrix Factorization (NMF) aided in identifying similarities among clusters across different methods and reference spectra for olivine and pyroxene. Hierarchical clustering emerged as the most reliable technique, achieving a 94% similarity with the olivine spectrum in one sample, whereas GMM exhibited notable variability. Overall, the analysis indicated that both Hierarchical and K-Means methods yielded lower errors in total measurements, with K-Means demonstrating superior performance in estimated dispersion and clustering. Additionally, GMM showed a higher root mean square error (RMSE) compared to the other models. The RMSE analysis confirmed K-Means as the most consistent algorithm across all samples, suggesting a predominance of olivine in the Vulcano region relative to pyroxene. This predominance is likely linked to historical formation conditions similar to volcanic processes on the Moon, where olivine-rich compositions are common in ancient lava flows and impact melt rocks. These findings provide a deeper context for mineral distribution and formation processes in volcanic landscapes.
Posted: 17 March 2025
Simulation and Analysis of Influence of Vacuum Back Pressure Environment on Laser Thruster
Ming Wen,
Baosheng Du,
Haichao Cui,
Jianhui Han
The paper presents a simulation physical model of laser thruster under vacuum back pressure environment. Through the finite difference method and the Direct Simulation Monte Carlo (DSMC) calculation method, based on the actual laser thruster structure and working mode, the changes of the flow field distribution in the laser thruster plume under different vacuum back pressure conditions are obtained. The influence of different vacuum back pressure conditions on the plume density field and velocity field of the thruster was verified through physical experiments, and the evolution process of the plume flow field during laser ablation of polyamide glycidyl ether (GAP) solid target material was analyzed in detail. The simulation results are in good agreement with the test results, and the deviation between the simulated data and the test data from 0 to 3000ns is less than 10.4%. It presents a foundation for the prediction model of laser thruster under vacuum environment, and provides an important reference for ground test and in-orbit application of satellite laser propulsion system.
The paper presents a simulation physical model of laser thruster under vacuum back pressure environment. Through the finite difference method and the Direct Simulation Monte Carlo (DSMC) calculation method, based on the actual laser thruster structure and working mode, the changes of the flow field distribution in the laser thruster plume under different vacuum back pressure conditions are obtained. The influence of different vacuum back pressure conditions on the plume density field and velocity field of the thruster was verified through physical experiments, and the evolution process of the plume flow field during laser ablation of polyamide glycidyl ether (GAP) solid target material was analyzed in detail. The simulation results are in good agreement with the test results, and the deviation between the simulated data and the test data from 0 to 3000ns is less than 10.4%. It presents a foundation for the prediction model of laser thruster under vacuum environment, and provides an important reference for ground test and in-orbit application of satellite laser propulsion system.
Posted: 30 January 2025
Gravity as a Vector of Superfluid Space and Universe Expansion
Amrit Šorli
The curvature of space-time is replaced by the variable energy density of the time-invariant superfluid space, where the variable energy density of space carries gravity. The gravity vector points in the direction from a higher energy density to a lower energy density. When light moves in the direction of the gravity vector, it causes a blue shift. When light moves in the opposite direction, it causes a redshift. The Doppler effect in an expanding space has not been experimentally confirmed. The cosmological redshift originates from the gravitational redshift. Universal space does not expand.
The curvature of space-time is replaced by the variable energy density of the time-invariant superfluid space, where the variable energy density of space carries gravity. The gravity vector points in the direction from a higher energy density to a lower energy density. When light moves in the direction of the gravity vector, it causes a blue shift. When light moves in the opposite direction, it causes a redshift. The Doppler effect in an expanding space has not been experimentally confirmed. The cosmological redshift originates from the gravitational redshift. Universal space does not expand.
Posted: 09 January 2025
Dynamical Complexity in Geomagnetically Induced Current Activity Indices Using Block Entropy
Adamantia Zoe Boutsi,
Constantinos Papadimitriou,
Georgios Balasis,
Christina Brinou,
Emmeleia Zampa,
Omiros Giannakis
Geomagnetically Induced Currents (GICs) are a manifestation of space weather events at ground level. GICs have the potential to cause power failures in electric grids. The GIC index is a proxy of the ground geoelectric field, derived solely from geomagnetic field data. Information theory can be used to shed light on the dynamics of complex systems, such as the coupled solar wind-magnetosphere-ionosphere-ground system. We perform Block entropy analysis of the GIC activity indices at middle latitude European observatories around the St. Patrick’s Day March 2015 intense magnetic storm and Mother’s Day (or Gannon) May 2024 superintense storm. We find that the GIC indices values are generally higher for the May 2024 storm, indicating elevated risk levels. Furthermore, the entropy values of the SYM-H and GIC indices are higher in the time interval before the storms than during the storms, indicating the transition from a system with lower organization to a system with higher organization. The results show promise for space weather applications.
Geomagnetically Induced Currents (GICs) are a manifestation of space weather events at ground level. GICs have the potential to cause power failures in electric grids. The GIC index is a proxy of the ground geoelectric field, derived solely from geomagnetic field data. Information theory can be used to shed light on the dynamics of complex systems, such as the coupled solar wind-magnetosphere-ionosphere-ground system. We perform Block entropy analysis of the GIC activity indices at middle latitude European observatories around the St. Patrick’s Day March 2015 intense magnetic storm and Mother’s Day (or Gannon) May 2024 superintense storm. We find that the GIC indices values are generally higher for the May 2024 storm, indicating elevated risk levels. Furthermore, the entropy values of the SYM-H and GIC indices are higher in the time interval before the storms than during the storms, indicating the transition from a system with lower organization to a system with higher organization. The results show promise for space weather applications.
Posted: 02 January 2025
Investigation of the Ionospheric Effects of the Solar Eclipse of April 8, 2024 Using Multi-Instrument Measurements
Aritra Sanyal,
Bhuvnesh Brawar,
Sovan Kumar Maity,
Shreyam Jana,
Jean Marie Polard,
Peter Newton,
Stelios M. Potirakis,
Haris Haralambous,
Georgios Balasis,
James Brundell
Posted: 26 December 2024
New Solutions to an Old Problem: How to Magnetically Protect Astronauts from Cosmic Radiation
Valerio Parisi,
Roberto Capuzzo Dolcetta,
Fabrizio Frezza,
Luca Lunati
Posted: 23 December 2024
Enhancing Geomagnetic Disturbance Predictions with Neural Networks: A Case Study on K-index Classification
Aizhan Altaibek,
Beibit Zhumabayev,
Marat Nurtas,
Diana Zakir,
Vitaliy Kapytin
Posted: 28 November 2024
Implications of Time-Invariant Space Model in Fundamental Physics and Cosmology
Amrit Šorli
Posted: 26 November 2024
Ionospheric Disturbances Produced by the 2019 Caribbean Meteoroid
Jorge Tarango-Yong,
Mario Rodríguez-Martínez,
Raúl Gutiérrez-Zalapa,
Ernesto Aguilar-Rodríguez,
Ariana Varela-Mendez,
José Juan González-Avilés,
Juan Américo González-Esparza,
Esmeralda Romero-Hernández,
Maria Sergeeva
Posted: 18 November 2024
Magnetosphere-Ionosphere Conjugate Harang Discontinuity and Sub-Auroral Polarization Streams (SAPS) Phenomena Observed by Multipoint Satellites
Ildiko Horvath,
Brian C. Lovell
Posted: 01 November 2024
Immobilization of Radioactive Waste into Composites Used in the Space Industry
Valeriy Kizka
In the aerospace industry, composites based on polymer or metal matrices and fillers made from granite, marble, lime and other rock powders are used. These fillers are similar in composition to cement and glass used for immobilization of radioactive waste (RW). In this paper, it is proposed to grind cemented or vitrified radioactive waste into micro or nanopowder and introduce this powder into a polymer or metal matrix to obtain a composite with improved physical characteristics, which can be used as a structural element or equipment element of automated space stations, satellites or rovers. In this way, it is possible to dispose of a huge amount of accumulated radioactive waste into space as a payload.
In the aerospace industry, composites based on polymer or metal matrices and fillers made from granite, marble, lime and other rock powders are used. These fillers are similar in composition to cement and glass used for immobilization of radioactive waste (RW). In this paper, it is proposed to grind cemented or vitrified radioactive waste into micro or nanopowder and introduce this powder into a polymer or metal matrix to obtain a composite with improved physical characteristics, which can be used as a structural element or equipment element of automated space stations, satellites or rovers. In this way, it is possible to dispose of a huge amount of accumulated radioactive waste into space as a payload.
Posted: 30 October 2024
Polar Cap TEC Fluctuations due to Solar Wind and Solar Spectral Irradiance Variations During the Peak of the 24th Solar Cycle
Tibor Durgonics,
Attila Komjathy,
Per Høeg
Posted: 22 October 2024
Surface Charging Analysis of Ariel Spacecraft in L2-Relevant Space Plasma Environment and GEO Early Transfer Orbit
Marianna Michelagnoli,
Mauro Focardi,
Maxsim Pudney,
Ian Renouf,
Pierpaolo Merola,
Vladimiro Noce,
Marina Vela Nunez,
Giacomo Dinuzzi,
Simone Chiarucci
Posted: 07 October 2024
Newton's Law of Gravity Is Valid Only When Gravitational Lensing Has a Negligible Impact
yunrui yu
Posted: 27 September 2024
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