Model for Atomic Oxygen Visible Line Emissions in Comet C/1995 O1 Hale-Bopp

We have recently developed a coupled chemistry-emission model for the green and red-doublet emissions of atomic oxygen on comet Hyakutake. In the present work we applied our model to comet Hale-Bopp, which had an order of magnitude higher H2O production rate than comet Hyakutake, to evaluate the photochemistry associated with the production and loss of O(1S) and O(1D) atoms and emission processes of green and red-doublet lines. We present the wavelength-dependent photo-attenuation rates for different photodissociation processes forming O(1S) and O(1D). The calculated radiative efficiency profiles of O(1S) and O(1D) atoms show that in comet Hale-Bopp the green and red-doublet emissions are emitted mostly above radial distances of 10^3 and 10^4 km, respectively. The model calculated [OI] 6300 A emission surface brightness and average intensity over the Fabry-P{\'e}rot spectrometer field of view are consistent with the observation of Morgenthaler et al. (2001), while the intensity ratio of green to red-doublet emission is in agreement with the observation of Zhang et al. (2001). In comet Hale-Bopp, for cometocentric distances less than 10^5 km, the intensity of [OI] 6300 A line is mainly governed by photodissociation of H2O. Beyond 10^5 km, O(1D) production is dominated by photodissociation of the water photochemical daughter product OH. Whereas the [OI] 5577 A emission line is controlled by photodissociation of both H2O and CO2. The calculated mean excess energy in various photodissociation processes show that the photodissociation of CO2 can produce O(1S) atoms with higher excess velocity compared to the photodissociation of H2O. Thus, our model calculations suggest that involvement of multiple sources in the formation of O(1S) could be a reason for the larger width of green line than that of red-doublet emission lines observed in several comets

Prediction of forbidden ultraviolet and visible emissions in comet 67P/Churyumov-Gerasimenko

Remote observation of spectroscopic emissions is a potential tool for the identification and quantification of various species in comets. CO Cameron band (to trace \cod) and atomic oxygen emissions (to trace H$_2$O and/or CO$_2$, CO) have been used to probe neutral composition in the cometary coma. Using a coupled-chemistry emission model, various excitation processes controlling CO Cameron band and different atomic oxygen and atomic carbon have been modelled in comet 67P-Churyumov-Gerasimenko at 1.29~AU (perihelion) and at 3~AU heliocentric distances, which is being explored by ESA's Rosetta mission. The intensities of CO Cameron band, atomic oxygen and atomic carbon emission lines as a function of projected distance are calculated for different CO and CO$_2$ volume mixing ratios relative to water. Contributions of different excitation processes controlling these emissions are quantified. We assess how CO$_2$ and/or CO volume mixing ratios with respect to H$_2$O can be derived based on the observed intensities of CO Cameron band, atomic oxygen, and atomic carbon emission lines.The results presented in this work serve as base line calculations to understand the behaviour of low out-gassing cometary coma and compare them with the higher gas production rate cases (e.g. comet Halley). Quantitative analysis of different excitation processes governing the spectroscopic emissions is essential to study the chemistry of inner coma and to derive neutral gas composition.Comment: 46 pages, 12 figures, Accepted in The Astrophysical Journa

Composable consistency for large-scale peer replication

technical reportThe lack of a flexible consistency management solution hinders P2P implementation of applications involving updates, such as directory services, online auctions and collaboration. Managing shared data in a P2P setting requires a consistency solution that can operate in a heterogenous network, support pervasive replication for scaling, and give peers autonomy to tune consistency to their sharing needs and resource constraints. Existing solutions lack one or more of these features. In this paper, we propose a new way to structure consistency management for P2P sharing of mutable data called composable consistency. It lets applications compose a rich variety of consistency solutions appropriate for their sharing needs, out of a small set of primitive options. Our approach splits consistency management into design choices along five orthogonal aspects, namely, concurrency, consistency, availability, update visibility and isolation. Various combinations of these choices can be employed to yield numerous consistency semantics and to fine-tune resource use at each replica. Our experience with a prototype implementation suggests that composable consistency can effectively support diverse P2P applications

Khazana: a flexible wide area data store

technical reportKhazana is a peer-to-peer data service that supports efficient sharing and aggressive caching of mutable data across the wide area while giving clients significant control over replica divergence. Previous work on wide-area replicated services focussed on at most two of the following three properties: aggressive replication, customizable consistency, and generality. In contrast, Khazana provides scalable support for large numbers of replicas while giving applications considerable flexibility in trading off consistency for availability and performance. Its flexibility enables applications to effectively exploit inherent data locality while meeting consistency needs. Khazana exports a file system-like interface with a small set of consistency controls which can be combined to yield a broad spectrum of consistency flavors ranging from strong consistency to best-effort eventual consistency. Khazana servers form failure-resilient dynamic replica hierarchies to manage replicas across variable quality network links. In this report, we outline Khazana?s design and show how its flexibility enables three diverse network services built on top of it to meet their individual consistency and performance needs: (i) a wide-area replicated file system that supports serializable writes as well as traditional file sharing across wide area, (ii) an enterprise data service that exploits locality by caching enterprise data closer to end-users while ensuring strong consistency for data integrity, and (iii) a replicated database that reaps order of magnitude gains in throughput by relaxing consistency

Flexible consistency for wide area peer replication

technical reportThe lack of a flexible consistency management solution hinders P2P implementation of applications involving updates, such as read-write file sharing, directory services, online auctions and wide area collaboration. Managing mutable shared data in a P2P setting requires a consistency solution that can operate efficiently over variable-quality failure-prone networks, support pervasive replication for scaling, and give peers autonomy to tune consistency to their sharing needs and resource constraints. Existing solutions lack one or more of these features. In this paper, we describe a new consistency model for P2P sharing of mutable data called composable consistency, and outline its implementation in a wide area middleware file service called Swarm1. Composable consistency lets applications compose consistency semantics appropriate for their sharing needs by combining a small set of primitive options. Swarm implements these options efficiently to support scalable, pervasive, failure-resilient, wide-area replication behind a simple yet flexible interface. We present two applications to demonstrate the expressive power and effectiveness of composable consistency: a wide area file system that outperforms Coda in providing close-to-open consistency overWANs, and a replicated BerkeleyDB database that reaps order-of-magnitude performance gains by relaxing consistency for queries and updates

Middleware support for locality-aware wide area replication

technical reportCoherent wide-area data caching can improve the scalability and responsiveness of distributed services such as wide-area file access, database and directory services, and content distribution. However, distributed services differ widely in the frequency of read/write sharing, the amount of contention between clients for the same data, and their ability to make tradeoffs between consistency and availability. Aggressive replication enhances the scalability and availability of services with read-mostly data or data that need not be kept strongly consistent. However, for applications that require strong consistency of writeshared data, you must throttle replication to achieve reasonable performance. We have developed a middleware data store called Swarm designed to support the widearea data sharing needs of distributed services. To support the needs of diverse distributed services, Swarm provides: (i) a failure-resilient proximity-aware data replication mechanism that adjusts the replication hierarchy based on observed network characteristics and node availability, (ii) a customizable consistency mechanism that allows applications to specify allowable consistency-availability tradeoffs, and (iii) a contention-aware caching mechanism that monitors contention between replicas and adjusts its replication policies accordingly. On a 240-node P2P file sharing system, Swarm's proximity-aware caching and replica hierarchy maintenance mechanisms improve latency by 80%, reduce WAN bandwidth consumed by 80%, and limit the impact of high node churn (5 node deaths/sec) to roughly one-fifth that of random replication. In addition, Swarm's contention-aware caching mechanism outperforms RPCs and static caching mechanisms at all levels of contention on an enterprise service workload

DataStations: ubiquitous transient storage for mobile users

technical reportIn this paper, we describe DataStations, an architecture that provides ubiquitous transient storage to arbitrary mobile applications. Mobile users can utilize a nearby DataStation as a proxy cache for their remote home file servers, as a file server to meet transient storage needs, and as a platform to share data and collaborate with other users over the wide area. A user can roam among DataStations, creating, updating and sharing files via a native file interface using a uniform file name space throughout. Our architecture provides transparent migration of file ownership and responsibility among DataStations and a user?s home file server. This design not only ensures file permanence, but also allows DataStations to reclaim their resources autonomously, allowing the system to incrementally scale to a large number of DataStations and users. The unique aspects of our DataStation design are its decentralized but uniform name space, its locality-aware peer replication mechanism, and its highly flexible consistency framework that lets users select the appropriate consistency mechanism on a per-file replica basis. Our evaluation demonstrates that DataStations can support low-latency access to remote files as well as ad-hoc data sharing and collaboration by mobile users, without compromising consistency or data safety

Theoretical prediction of drug release in GI tract from spherical matrix systems

The significance of controlled release drug delivery systems (CRDDS) lies in their ability to deliver the drug at a steady rate thus reducing the dosage interval and providing a prolonged pharmacodynamic effect. But despite the steadily increasing practical importance of these devices, little is known regarding their underlying drug release mechanisms. Mathematical modeling of these drug delivery systems could help us understand the underlying mass transport mechanisms involved in the control of drug release. Mathematical modeling also plays an important role in providing us with valuable information such as the amount of drug released during a certain period of time and when the next dosage needs to be administered. Thus, potentially reducing the number of in-vitro and in-vivo experiments which in some cases are infeasible. There is a large spectrum of published mathematical models for predicting drug release from CRDDS in vitro following conventional approaches. These models describe drug release from various types of controlled delivery devices for perfect sink conditions. However in a real system (human body) a sink condition may not be applicable. For a CRDDS along with the physiochemical properties (solubility, diffusion, particle size, crystal form etc.) the physiological factors such as gastrointestinal tract (GI) pH, stomach emptying, (GI) motility, presence of food, elimination kinetics etc., also affect the rate of drug release. As the drug delivery system is expected to stay in the human body for a longer period of time when compared to a immediate release dosage form the process of drug release occurs in conjunction with the absorption (for oral delivery systems) and elimination kinetics. Earlier work by Ouruemchi et.al.[71] include prediction of the plasma drug concentration for an oral diffusion controlled drug delivery system. Amidon et.al.[68] developed several models for predicting the amount of drug absorbed within through the intestine walls for immediate release dosage forms. However none of these models study the effect of absorption rate on the rate of drug release for an oral controlled drug delivery system. In this work mathematical models are developed for prediction of drug release from both diffusion controlled and dissolution controlled drug delivery systems taking into account the affect of absorption rate. Spherical geometry of the particles is considered. The model is developed by assuming that the drug is release into a finite volume and is thereby absorbed through the intestine wall following first order kinetics. A closed form solution is obtained for the prediction of fraction of drug released for a diffusion controlled drug delivery system. The results are compared with both experimental data (taken from literature) as well as existing models in the literature. Whereas for a dissolution-diffusion controlled drug delivery system non linear dissolution kinetics are taken into consideration and the problem is solved by both numerical and analytical techniques. In addition two simple models are also presented for dissolution controlled drug delivery devices