372 research outputs found
Ephemerides Novae Motuum Coelestium, ab anno vulgaris aerae MDCXVII. : In quibus & Tabb. Rudolphi iam perfectis, Et Socia Opera Clariss. Viri Dn. Jacobi Bartschii, Med. Doct. est usus
No full textAuthor Functions in Lars Kepler\u27s The Hypnotist: An Analysis
No full textThis paper examines Foucault\u27s notion of the author function as it pertains to Lars Kepler\u27s bestselling 2011 crime thriller, The Hypnotist. Lars Kepler is the pseudonym of a Swedish husband-wife writing duo, making him the perfect subject for analysis centering on illusory notion of the author. This paper will answer these questions: Who is the true author of The Hypnotist? What factors influence the author function of this bestelling novel? And what can The Hypnotist phenomenon tell us about the relationships between authors and their readers? This paper will demonstrate that no literary works may be ascribed to an individual person, and that authors hold no privileged knowledge of the works they produce, because authors cease to be authors the moment pen is lifted from page
L.: Kepler – A Communal Digital Library
No full textAbstract. Kepler is an attempt to bridge the gap between established, organization-backed digital libraries and groups of researchers that wish to publish their findings under their control, anytime, anywhere yet have the advantages of an OAI-compliant digital library. We describe an architecture and implementation of the Kepler system that allows an archivelet to be installed in the order of minutes by an author on a personal machine and a group server in less than an hour. The group server will harvest from all archivelets and make the union of all published papers available for search to a community. We describe how a group administrator can provide an XML schema for the metadata and how the Kepler engine will validate against them when an author publishes a paper and completes the metadata. We have demonstrated that we can surmount the technical difficulties for authors to publish as easy as to a website yet produce OAI-compliant digital libraries.
A Reply to: Large Exomoons unlikely around Kepler-1625 b and Kepler-1708 b
No full textRecently, Heller & Hippke argued that the exomoon candidates Kepler-1625 b-i
and Kepler-1708 b-i were allegedly 'refuted'. In this Matters Arising, we
address these claims. For Kepler-1625 b, we show that their Hubble light curve
is identical to that previously published by the same lead author, in which the
moon-like dip was recovered. Indeed, our fits of their data again recover the
moon-like dip with improved residuals than that obtained by Heller & Hippke.
Their fits therefore appear to have somehow missed this deeper likelihood
maximum, as well producing apparently unconverged posteriors. Consequently,
their best-fitting moon is the same radius as the planet, Kepler-1625 b; a
radically different signal from that which was originally claimed. The authors
then inject this solution into the Kepler data and remark, as a point of
concern, how retrievals obtain much higher significances than originally
reported. However, this issue stems from the injection of a fundamentally
different signal. We demonstrate that their Hubble light curve exhibits ~20%
higher noise and discards 11% of the useful data, which compromises its ability
to recover the subtle signal of Kepler-1625 b-i. For Kepler-1708 b-i it was
claimed that the exomoon model's Bayes factor is highly sensitive to detrending
choices, yielding reduced evidence with a biweight filter versus the original
claim. We use their own i) detrended light curve and ii) biweight filter code
to investigate these claims. For both, we recover the original moon signal, to
even higher confidence than before. The discrepancy is explained by comparing
to their quoted fit metrics, where we again demonstrate that the Heller &
Hippke regression definitively missed the deeper likelihood maximum
corresponding to Kepler-1708 b-i. We conclude that both candidates remain
viable but certainly demand further observations.Comment: Under consideration by Nature Astronomy as Matters Arisin
Kepler
No full textA towering figure in intellectual history and one of the fathers of modern astronomy, the great mathematician Johannes Kepler (1571–1630) is best known for his discovery of the three laws of planetary motion, which paved the way for a dynamic explanation of the heavenly phenomena. At a time when the Ptolemaic view still prevailed in official circles, Kepler undertook to prove the truth of the Copernican world view and through exceptional perseverance and force of intellect achieved that goal. His epochal intellectual feats are completely and thoroughly described in this splendid work, considered the definitive biography of Kepler. Drawing on a wealth of primary sources, the author presents a fascinating and erudite picture of Kepler's scientific accomplishments, his public life (work with Tycho Brahe, the Danish astronomer; mathematical appointments at Graz, Prague, and Linz; pioneering work with calculus and optics, and more) and his personal life: childhood and youth, financial situation, his mother's trial as a witch, his own lifelong fear of religious persecution, his difficulties in choosing one of eleven possible young women as his second wife, and more, through his last years in Ulm and death in Regensburg. Until his death in 1956, Professor Max Caspar was the world's foremost Kepler scholar. He had spent over two-thirds of his life assembling, cataloging, describing, analyzing, and editing Kepler's works. To this biography he brought tremendous learning and passionate enthusiasm for his subject, creating an unsurpassed resource on the life and work of one of history's greatest scientific minds. Originally published in German and superbly translated into English by C. Doris Hellman, Kepler will fascinate scholars and general readers alike
The Dream of Kepler: A Retrospective Work on the Human Side of the Scientist
No full textThe compendium Epitome astronomiæ copernicanæ, published between 1618 and 1621, is considered the most complete and influential work of Johannes Kepler (1571-1630), introducing the reader to the heliocentric theory and the whole astronomical work of its author. However, there is another lesser known masterpiece that deserves comparable attention: the Somnium, seu opus posthumum de astronomia lunari (published posthumously, in 1634), depicting Kepler not only as a scientist but also as a man. It is the short tale of a dream, whose troubled drafting lasted for almost forty years,
describing the journey to the Moon made by a fictional young man, whose life shows several affinities with Kepler’s one. In its pages and in its rich apparatus of explanatory notes, added by Kepler himself, several references to the major works and to the life of the astronomer can immediately be found. The Somnium is thus a journey through Kepler’s theories, that provides the reader with an accurate portrait of an exceptionally modern character (defender of both the Copernican model and the central role of science) but still tied to the past (in his Platonic and Pythagorean ideas). Thanks to the
Somnium it is possible to draw the fundamental steps in Kepler’s life and in his work, surely deserving a special place in the history of astronomy
Introducing Triquetrum, A Possible Future for Kepler and Ptolemy II1
No full textAbstractTriquetrum is an open platform for managing and executing scientific workflows that is under development as an Eclipse project. Both Triquetrum and Kepler use Ptolemy II as their execution engine. Triquetrum presents opportunities and risks for the Kepler community. The opportunities include a possibly larger community for interaction and a path for Kepler to move from Kepler's one-off ant-based build environment towards a more common Open Services Gateway initiative (OSGi)-based environment and a way to maintain a stable Ptolemy II core. The risks include the fact that Triquetrum is a fork of Ptolemy II that would result in package name changes and other possible changes. In addition, Triquetrum is licensed under the Eclipse Public License v1.0, which includes a patent clause that could conflict with the University of California patent clause. This paper describes these opportunities and risks
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A middleware independent grid workflow builder for scientific applications
No full textGrid workflow authoring tools are typically specific to particular workflow engines built into Grid middleware, or are application specific and are designed to interact with specific software implementations. g-Eclipse is a middleware independent Grid workbench that aims to provide a unified abstraction of the Grid and includes a Grid workflow builder to allow users to author and deploy workflows to the Grid. This paper describes the g-Eclipse Workflow Builder and its implementations for two Grid middlewares, gLite and GRIA, and a case study utilizing the Workflow Builder in a Grid user's scientific workflow deployment
Reservoir Simulation of Foam Flow using a Kepler GPU
No full textIn recent years, along with the higher GPU’s computational speed and memory bandwidth compared to those of CPUs, GPU-accelerated reservoir simulation has been studied quite extensively. The results so far have shown that Fermi generation GPUs could accelerate IMPES (implicit pressure explicit saturation) reservoir simulation considerably. Along with several new features, the current generation Kepler GPU has been improved from its previous generation by having much higher FLOPS and memory bandwidth. However, major changes in Kepler, such as the removal of automatic L1 global memory caching and the requirement of instruction level parallelism, make additional optimizations essential to obtain close-to-peak performance. On the application side, researchers have found that foam can be used to improve gas injection by addressing several causes of poor gas sweep efficiency. However, foam simulation is hampered by long simulation time because of its large fractional flow slope. In this paper, it will be discussed how to implement efficient IMPES reservoir simulation on current generation Kepler GPUs, and how to apply it to foam simulation. The IMPES code is optimized by maximizing exposed parallelism (thread and instruction level parallelism-TLP and ILP), coalescing global memory access, reducing redundant global memory access by explicitly using shared memory via warp specialization while avoiding memory bank conflict, using 1D texture memory as a pre-computed table and using various forms of GPU read-only memory. Furthermore, since reservoir simulation components such as sparse matrix formats, preconditioners and solvers that work excellent on CPUs might not be efficient on GPUs, the components are chosen so that they not only just work efficiently for foam simulation but also for foam simulation on GPUs. For the example considered in this report, and using a GTX Titan Black GPU, speed-ups up to 129 times in the saturation update and matrix assembly can be obtained compared to a parallel implementation on an Intel quad Core i7-4770k. For the pressure solver part, the GPU implementation is up to 39 x faster compared to the CPU implementation. The maximum solver speedup is achieved for large models (with more than 6 million grid cells), whereas for smaller models (a million cells or less), the speedup is reduced because GPU-CPU data transfer latency might still be dominant and small data fits in the CPU cache. Overall, the use of a GPU makes large-scale foam simulations (with six million grid cells or more) possible to be completed in days, whereas it is predicted that it will take months to complete the same simulation using a CPU.Petroleum EngineeringGeoscience & EngineeringCivil Engineering and Geoscience
Natural Language Processing Using Kepler Workflow System: First Steps
No full textAbstractScientific community across many disciplines is exploring new ways to extract knowledge from all available sources. Historically, written manuscripts have been the media of choice for recording experimental findings. Many disciplines such as social science, medical science are exploring ways to automate knowledge discovery from a vast repository of published scientific work. This work attempts to accelerate the process of information extraction by extending Kepler, a graphical workflow management tool. Kepler provides a simple way of designing and executing complex workflows in the form of directed graphs. This work presents a scalable approach to convert published research as PDF documents into indexable XML documents using Kepler. This conversion is a critical step in the Natural Language Processing pipeline. Kepler's distributed data processing capability enables scientists to scale this critical computation by simply adding more computing resources over the cloud
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