Modelling of photoinduced discharge of photoreceptors under pulsed photoexcitation: small and large signal xerographic time-of-flight analysis
Notice bibliographique
Résumé
A general theoretical model for the photoinduced discharge of a charged photoreceptor is developed by considering non-dispersive charge transport in a high-resistivity semiconductor (insulator in the dark), point form representations of Ohm's law, Gauss's law and Maxwell's equations for the total current, and the trapping and release rate equations. The rate equations incorporate arbitrary strengths of trapping, release, and trap saturation for a single level of traps. In contrast to most previous works, the trap filling effect is fully incorporated into the model which allows its effects to be studied. These equations were combined to create a single general second-order nonlinear partial differential equation which governs the behaviour of the electric field during photoinduced discharge. The general differential equation for the field was then solved numerically using boundary conditions that are representative of pulsed illumination. Solutions were obtained under low injection (0.1% of surface charge) and high injection (10%, 50%, and 99% of surface charge) conditions. Trapping parameters in the model could be adjusted to represent a wide range of trapping conditions including trap saturation. In each case, the time evolution of the discharge was monitored by calculating the trapped and untrapped charge densities at regular intervals throughout the discharge. By differentiating the calculated surface voltage V , the rate discharge d V /d t was also monitored, because it is an experimentally accessible quantity that is widely used in xerographic time-of flight measurements. Results obtained under low injection conditions demonstrated that the dispersion in the charge packet increased with larger values of the mobility reduction factor and smaller values of the trapping and release rates, and r , respectively. Increased charge packet dispersion was seen to cause increased dispersion in d V /d t near the transit time. The temporal spread of arrival times analytically predicted by the Schmidlin equation was found to be in good agreement with the present model in the small signal mode. High injection results illustrated that the dispersion of the charge packet and |d V /d t | increased dramatically with increased injection strength. Under extremely high injection, the dispersion is primarily determined by the amount of injection. The effect of trap saturation under high injection conditions was also investigated. Increased trap saturation caused the packet to become more spread out during the early stages of the discharge. This caused significant decay in |d V /d t | before the shallow-trap controlled transit time, but did not significantly affect the overall dispersion in |d V /d t |.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».