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Record W3129072617 · doi:10.7302/69

Investigating Nonequilibrium Ionization and Recombination Processes in Solar Wind and Transient Plasma

2020· dissertation· en· W3129072617 on OpenAlexaboutno aff
Yeimy J. Rivera

Bibliographic record

VenueDeep Blue (University of Michigan) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNon-equilibrium thermodynamicsTransient (computer programming)RecombinationIonizationPlasmaSolar windPhysicsAtomic physicsAtmospheric sciencesComputational physicsAstrophysicsChemistryNuclear physicsThermodynamicsIonQuantum mechanicsComputer science

Abstract

fetched live from OpenAlex

In this work, I investigated the evolution of coronal mass ejections (CMEs) and the solar wind by combining remote sensing, in situ observations, and nonequilibrium ionization modeling using the Michigan Ionization Code (MIC). The work investigates physical processes governing the plasma’s radial evolution and the injection of energy to the system. The aim of this thesis is to investigate low ionized charge states in CMEs and He+ in the solar wind to understand their origin and formation. Through simulations of charge states with the MIC, the modeling work reconstructed the thermodynamic evolution of several plasma structures within the expansion of a coronal mass ejection (CME) by examining heliospheric ion composition within the ejecta. The reconstructed CME contained rare, low charge states, which are often absent within CMEs, along with typical highly ionized coronal plasma. Modeling results show that the source of the low ionized material in the CME measurements is from prominence material and is not a result of recombination from cooling of the plasma. However, part of the prominence also exists in a highly ionized form. These results provide important constraints to the evolution of prominence material that is often observed at the Sun but rarely measured in situ. In addition, this study indicated the CME components experienced rapid, continuous, and non-uniform heating as they travelled away from the Sun. Motivated by these results, I identified useful spectral lines to study the eruption with future solar telescopes. This study investigated the diagnostic potential of several spectral lines spanning the EUV to near-Infrared and ranging between chromospheric and sub-flare temperatures to enable a comprehensive examination of solar eruptions that can be coupled with in situ and nonequilibrium modeling. I present a list of recommended spectral lines along with a discussion of their diagnostic capability. Results show that several of the most observable lines will be within the planned observations of future solar telescopes; Daniel K. Inouye Solar Telescope (DKIST), and Upgraded COronal Multi-channel Polarimeter (UCoMP), and instruments on Solar Orbiter, e.g. Spectral Imaging of the Coronal Environment (SPICE) and Multi-Element Telescope for Imaging and Spectroscopy (METIS). Furthermore, I investigated the presence of singly ionized He in the solar wind, that are outside of CME cores and pick up ions, to determine their origin and formation mechanism using the MIC. Current ionization models of the solar wind cannot account for the enhanced density of He+ observed at 1AU, therefore we reconcile the additional He+ through charge exchange of solar wind alphas and outgassed interplanetary dust neutrals. We find that charge exchange processes can be an important mechanism in the formation of solar He+ from alpha particles below 10-15Rsun, and due to this, may potentially shape ion densities for other species in the solar wind as well.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.911

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.180
Teacher spread0.175 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2020
Admission routes1
Has abstractyes

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