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Record W7094589783

Data-driven numerical simulations of the Parker Spiral and interplanetary propagation of solar transients

2023· dissertation· en· W7094589783 on OpenAlexaboutno aff

Bibliographic record

VenueNova Science Publishers (Nova Science Publishers, Inc.) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHeliosphereSolar windCoronal mass ejectionMagnetohydrodynamicsHeliospheric current sheetInterplanetary magnetic fieldInterplanetary mediumEclipticMagnetopauseInterplanetary spaceflight
DOInot available

Abstract

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The accurate reconstruction of the plasma and magnetic field parameters in the ambient interplanetary medium is fundamental to reproduce the interplanetary propagation of solar disturbances such as solar energetic particles (SEPs), stream and corotating interaction regions (SIRs and CIRs), and coronal mass ejections (CMEs), both for understanding the physics of these phenomena and for applications in space weather forecasting. The small-scale features of the ambient solar wind, in fact, affect the evolution, arrival times, and geo-effectiveness of solar transients.
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\nThe Reverse In situ and MHD Approach (RIMAP) is a hybrid analytical-numerical method to reconstruct the heliosphere on the ecliptic plane from in situ measurements acquired by spacecraft with heliocentric orbits. RIMAP uses the in situ measurements as boundary conditions for a MHD simulation based on the PLUTO code, combining ballistic and MHD approaches in order to preserve the small-scale variability of the solar wind flow lines and thus offering a structured, realistic background medium for modelling the propagation of solar eruptions.
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\nIn this dissertation, after an introduction about the main topics and models of heliospheric physics and the magnetohydrodynamics equations, we present the detailed description of the novelties of the RIMAP model, and its application to the measurements acquired by spacecraft at 1 AU in correspondence of solar minima configurations.
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\nThen, one of these reconstructions is used as a background medium to propagate an interplanetary CME. The perturbation is modelled as a spheroidal, homogeneous plasma cloud without internal magnetic flux rope. We use an artificial, passive tracer to quantify the mixing at 1 AU between ambient solar wind material and the one with coronal eruption origins, in order to evaluate the fraction of plasma measured in situ that can be traced back to its sources on the Sun.
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\nThe RIMAP reconstruction is also carried out using measurements acquired by NASA’s Parker Solar Probe (PSP) during its seventh solar encounter, in January 2021, between 20 and 40 solar radii. This was the time of the first quadrature between PSP and ESA-NASA’s Solar Orbiter (SolO), which at the time was orbiting the Sun around 0.5 AU and providing remote sensing observations of the solar corona via the Metis coronagraph. The RIMAP reconstruction connects density and wind speed estimates inferred from the coronal features observed by Metis/SolO between 3 and 6 solar radii to the measurements acquired by PSP at 21.5 solar radii along the corresponding plasma streamline. Thus, the magnetic connection between the inner corona and the super Alfvénic wind is reconstructed with a high degree of accuracy with a detailed data-driven MHD simulation.
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\nFinally, we describe the possible future developments of the RIMAP technique such as the extension to a two-fluids treatment, the testing of different models of magnetized coronal mass ejections, the simulation of solar wind switchbacks, and the extension to full three-dimensional boundaries, using coronagraphic observations to infer the input parameters.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.008
Science and technology studies0.0010.003
Scholarly communication0.0030.016
Open science0.0050.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.301
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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