Geoeffectiveness Prediction of CMEs

Besliu-Ionescu, Diana; Mierla, M.

doi:10.3389/fspas.2021.672203

Cited by 6 publications

(5 citation statements)

References 48 publications

(62 reference statements)

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“…Therefore, their results are averaged and shown in Table 10. Their accuracy is very high and [45] used 2097 events to train the model and 699 events to test. The accuracy is 99% in both the training set and test set.…”

Section: Discussionmentioning

confidence: 99%

“…Besliu-Ionescu et al [43] have used a modified version of the logistic regression method proposed by Srivastava [44] to predict the geoeffectiveness of CMEs. Besliu-Ionescu and Mierla [45] presented an update of a logistic regression model to predict whether a CME will reach the earth and be associated with geomagnetic storms. In fact, forecasters need to count on similar historical solar activity events to assess the event in progress or the breed.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of CMEs on Earth Based on Logistic Regression and Recommendation Algorithm

et al. 2022

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Coronal mass ejections (CMEs) are one of the major disturbance sources of space weather. Therefore, it is of great significance to determine whether CMEs will reach the earth. Utilizing the method of logistic regression, we first calculate and analyze the correlation coefficients of the characteristic parameters of CMEs. These parameters include central position angle, angular width, and linear velocity, which are derived from the Large Angle and Spectrometric Coronagraph (LASCO) images. We have developed a logistic regression model to predict whether a CME will reach the earth, and the model yields an F1 score of 30% and a recall of 53%. Besides, for each CME, we use the recommendation algorithm to single out the most similar historical event, which can be a reference to forecast CMEs geoeffectiveness forecasting and for comparative analysis.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of CMEs on Earth Based on Logistic Regression and Recommendation Algorithm

et al. 2022

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“…As an effect, plasma particles from the photosphere, chromosphere and corona are accelerated in all directions [12]. Some details behind these events are still largely unknown and, as a result, they cannot be predicted with precision [13] [14].…”

Section: Solar Energetic Particlesmentioning

confidence: 99%

Evaluating Reduced Resolution Redundancy for Radiation Hardening in FPGA Designs

García-Astudillo

Lindoso

Entrena

et al. 2023

IEEE Trans. Nucl. Sci.

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Reduced Precision Redundancy (RPR) is an alternative to Triple Modular Redundancy (TMR) that reduces the area overhead at the expense of minor accuracy loss in case of error. In this work, we propose a Scaled RPR approach for multi-stage circuits and analyze the error mitigation tradeoffs. As case study, several Fast Fourier Transform designs were tested with low energy protons and fault injection. Experimental results show that the proposed approach achieves error mitigation with good accuracy, while significantly reducing the area overhead with respect to a full precision TMR approach. This chapter has been published as an article: [4]

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“…CMEs are the most crucial phenomena determining the space weather. The geo-effectiveness of a CME is determined primarily by its magnetic field strength and topology (Vourlidas et al 2019;Besliu-Ionescu & Mierla 2021). CME magnetic fields may get modified as they propagate through the corona and the heliosphere due to interactions with the coronal magnetic fields, interplanetary magnetic fields, and other heliospheric structures.…”

Section: Introductionmentioning

confidence: 99%

Spectropolarimetric Radio Imaging of Faint Gyrosynchrotron Emission from a CME: A Possible Indication of the Insufficiency of Homogeneous Models

Kansabanik,

Mondal,

Oberoi

2024

ApJ

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The geo-effectiveness of coronal mass ejections (CMEs) is determined primarily by their magnetic fields. Modeling of gyrosynchrotron (GS) emission is a promising remote sensing technique to measure the CME magnetic field at coronal heights. However, faint GS emission from CME flux ropes is hard to detect in the presence of bright solar emission from the solar corona. With high dynamic-range spectropolarimetric meter wavelength solar images provided by the Murchison Widefield Array, we have detected faint GS emission from a CME out to ∼8.3 R ⊙, the largest heliocentric distance reported to date. High-fidelity polarimetric calibration also allowed us to robustly detect circularly polarized emission from GS emission. For the first time in the literature, Stokes V detection has jointly been used with Stokes I spectra to constrain GS models. One expects that the inclusion of polarimetric measurement will provide tighter constraints on the GS model parameters. Instead, we found that homogeneous GS models, which have been used in all prior works, are unable to model both the total intensity and circular polarized emission simultaneously. This strongly suggests the need for using inhomogeneous GS models to robustly estimate the CME magnetic field and plasma parameters.

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Geoeffectiveness Prediction of CMEs

Cited by 6 publications

References 48 publications

Impacts of CMEs on Earth Based on Logistic Regression and Recommendation Algorithm

Impacts of CMEs on Earth Based on Logistic Regression and Recommendation Algorithm

Evaluating Reduced Resolution Redundancy for Radiation Hardening in FPGA Designs

Spectropolarimetric Radio Imaging of Faint Gyrosynchrotron Emission from a CME: A Possible Indication of the Insufficiency of Homogeneous Models

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