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Enregistrement W4412122221 · doi:10.5194/epsc-dps2025-1193

Solar Wind-Induced Sputtering: Investigating Anisotropy in the Angular Distribution of Ejecta using SDTrimSP

2025· preprint· en· W4412122221 sur OpenAlexaff
Ben Clouter-Gergen, Liam Morrissey, Caixia Bu, A. Mutzke, S. Verkercke, D. W. Savin

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant Surface Properties and Treatments
Établissements canadiensMemorial University of Newfoundland
Organismes subventionnairesnon disponible
Mots-clésEjectaSolar windAnisotropySputteringMaterials sciencePhysicsAstrophysicsOpticsNanotechnologyPlasmaThin filmNuclear physics

Résumé

récupéré en direct d'OpenAlex

IntroductionSputtering in planetary science occurs as the solar-wind (SW)—a stream of energetic ions emitted from the Sun—impacts an airless body, ejecting atoms from its surface [1,2]. This process alongside micrometeorite impacts, photo-stimulated desorption, and thermal desorption contribute to the formation of planets’ exospheres [3–5]. While various spacecraft can detect exospheric species such as MESSENGER, BepiColombo, LADEE, and CHACE-2, they cannot discern the respective contributions of the mentioned processes and thus a strong theoretical understanding of sputtering is needed to quantify its influence on the exosphere [6–9].The sputtering yield is well-studied. In contrast, the angular distribution of ejecta has been given significantly less attention, its treatment being particularly sparse in cases relevant to planetary science. As such, sputtering models that consider the angular distribution of ejecta often assume isotropy. Here, we present a theoretical study quantifying anisotropy in the angular distribution of ejecta for SW-induced sputtering cases, helping advance the understanding of sputtering’s contribution to exosphere formation. Further, we compare the results to a common experimental case since experiments often employ heavier, higher energy ions to leverage the enhanced mass detection consequent of a greater sputter yield. These experimental results must then be scaled to inform SW-induced sputtering and, as such, unique behaviors occurring for lower mass impactor cases may be overlooked. Finally, following quantification, we consider the relative contributions from four ejecta-types demonstrated in Fig. 1, an approach enabling us to understand the underlying behavior leading to anisotropy differences between the different cases considered. Fig. 1: An incident ion (red) impacts a target, collides with atoms within, and exits as a reflected ion, triggering four ejecta-types in the process (blue), from left to right: ion-in SKAs, ion-in PKAs, ion-out PKAs, and ion-out SKAs.MethodologyTo simulate sputtering, we utilized the software SDTrimSP which follows the binary collision approximation (BCA) model where sputtering occurs through a sequence of independent collisions within a material prior to the ejection of an atom [1,2]. While both electronic and collisional effects occur in the sputtering process, the latter dominate at energies below 100keV amu-1 and thus we consider collisional sputtering exclusively [2].We selected 1 keV ionized Hydrogen (H+) and 4 keV ionized Helium (He++) to emulate the SW, while 20 keV ionized Krypton (Kr+) was employed given its prevalence in experimental studies. For the target surface, silica (SiO2) was selected given its prominence in both the lunar and Mercurian surfaces and recurrent usage in experiments [10–12]. We simulated ion incidence angles between 0° and 85° (measured from the surface normal) while ejecta were interpreted as a function of polar and azimuthal angles, ranging from 0° to 90° and 0° to 180°, respectively. The scenario is illustrated in Fig. 2. Fig. 2: An incident ion impacts a target substrate at an incidence angle, θi, sputtering an atom as a function of polar (θs) and azimuthal (φs) angles within the depicted quarter-sphere.ResultsForward-backward anisotropy exists when a greater percentage of atoms are sputtered at azimuthal angles between 0° and 90° than 90° and 180°. While the azimuthal distribution of ejecta is isotropic at normal incidence, anisotropy emerges as the ion incidence angle is varied. Noticeable differences in anisotropies between ion cases arise as the ion’s incidence angle is made increasingly oblique, forward-backward anisotropy becoming most pronounced in the H+ case while developing more modestly in the He++ and Kr+ cases. Alternatively, to assess anisotropy in the polar distribution of ejecta we consider anisotropy occurring as a greater percentage of atoms are sputtered between 0° and 45° (“low” angles) than 45° and 90° (“high” angles). At normal incidence, low-angle anisotropy is prominent in all cases. With increasing incidence angle, the polar distribution of ejecta becomes more isotropic in the H+ case, slightly more anisotropic in the He++ case, while remaining relatively steady in the Kr+ case.The divergence in the anisotropies witnessed in the H+ case from those occurring in the other two impactor cases considered can be explained by an interplay between the percentage contribution of specific ejecta-types and the extent to which they are forward and low-angle pronounced. On the one hand, the ejecta-types most readily sputtered forward and at high-angles are generally most prominent in the H+ case and on the other, individual ejecta-types in the H+ case typically have higher forward and lower low-angle sputtering percentages than those in the He++ and Kr+ cases.Concluding StatementThe findings demonstrate that sputtering anisotropy varies significantly depending on the ion-target case considered. While anisotropies in the He++ and Kr+ cases are similar, there are clear differences in the case of H+ bombarding SiO2. Experimental cases using increased energies and masses are, therefore, likely underestimating the degree to which forward-backward anisotropy is present in SW-induced sputtering cases, while overestimating the extent of anisotropy in the polar distribution of ejecta. Accounting for these effects is essential when scaling experimental results to inform planetary sputtering.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,071
Tête enseignante GPT0,261
Écart entre enseignants0,189 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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