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Joint Analysis of BICEP2/Keck Array and Planck data

Physical Review Letters 2015年第10期114卷 101301-101301页

作者： P. A. R. Ade N. Aghanim Z. Ahmed R. W. Aikin K. D. Alexander M. Arnaud J. Aumont C. Baccigalupi A. J. Banday D. Barkats R. B. Barreiro J. G. Bartlett N. Bartolo E. Battaner K. Benabed A. Benoît A. Benoit-Lévy S. J. Benton J.-P. Bernard M. Bersanelli P. Bielewicz C. A. Bischoff J. J. Bock A. Bonaldi L. Bonavera J. R. Bond J. Borrill F. R. Bouchet F. Boulanger J. A. Brevik M. Bucher I. Buder E. Bullock C. Burigana R. C. Butler V. Buza E. Calabrese J.-F. Cardoso A. Catalano A. Challinor R.-R. Chary H. C. Chiang P. R. Christensen L. P. L. Colombo C. Combet J. Connors F. Couchot A. Coulais B. P. Crill A. Curto F. Cuttaia L. Danese R. D. Davies R. J. Davis P. de Bernardis A. de Rosa G. de Zotti J. Delabrouille J.-M. Delouis F.-X. Désert C. Dickinson J. M. Diego H. Dole S. Donzelli O. Doré M. Douspis C. D. Dowell L. Duband A. Ducout J. Dunkley X. Dupac C. Dvorkin G. Efstathiou F. Elsner T. A. Enßlin H. K. Eriksen E. Falgarone J. P. Filippini F. Finelli S. Fliescher O. Forni M. Frailis A. A. Fraisse E. Franceschi A. Frejsel S. Galeotta S. Galli K. Ganga T. Ghosh M. Giard E. Gjerløw S. R. Golwala J. González-Nuevo K. M. Górski S. Gratton A. Gregorio A. Gruppuso J. E. Gudmundsson M. Halpern F. K. Hansen D. Hanson D. L. Harrison M. Hasselfield G. Helou S. Henrot-Versillé D. Herranz S. R. Hildebrandt G. C. Hilton E. Hivon M. Hobson W. A. Holmes W. Hovest V. V. Hristov K. M. Huffenberger H. Hui G. Hurier K. D. Irwin A. H. Jaffe T. R. Jaffe J. Jewell W. C. Jones M. Juvela A. Karakci K. S. Karkare J. P. Kaufman B. G. Keating S. Kefeli E. Keihänen S. A. Kernasovskiy R. Keskitalo T. S. Kisner R. Kneissl J. Knoche L. Knox J. M. Kovac N. Krachmalnicoff M. Kunz C. L. Kuo H. Kurki-Suonio G. Lagache A. Lähteenmäki J.-M. Lamarre A. Lasenby M. Lattanzi C. R. Lawrence E. M. Leitch R. Leonardi F. Levrier A. Lewis M. Liguori P. B. Lilje M. Linden-Vørnle M. López-Caniego P. M. Lubin M. Lueker J. F. Macías-Pérez B. Maffei D. Maino N. Mandolesi A. Mangilli M. Maris P. G. Martin E. Martínez-González S. Masi P. Mason S. Matarrese K. G. Megerian School of Physics and Astronomy Cardiff University Queens Buildings The Parade Cardiff CF24 3AA United Kingdom Institut d’Astrophysique Spatiale CNRS (UMR8617) Université Paris-Sud 11 Bâtiment 121 Orsay France Department of Physics Stanford University Stanford California 94305 USA California Institute of Technology Pasadena California USA Harvard-Smithsonian Center for Astrophysics 60 Garden Street MS 42 Cambridge Massachusetts 02138 USA Laboratoire AIM IRFU/Service d’Astrophysique–CEA/DSM–CNRS–Université Paris Diderot Bâtiment 709 CEA-Saclay F-91191 Gif-sur-Yvette Cedex France SISSA Astrophysics Sector via Bonomea 265 34136 Trieste Italy Université de Toulouse UPS-OMP IRAP F-31028 Toulouse cedex 4 France CNRS IRAP 9 Avenue colonel Roche BP 44346 F-31028 Toulouse cedex 4 France Joint ALMA Observatory Vitacura Santiago Chile Instituto de Física de Cantabria (CSIC-Universidad de Cantabria) Avenida de los Castros s/n Santander Spain APC AstroParticule et Cosmologie Université Paris Diderot CNRS/IN2P3 CEA/lrfu Observatoire de Paris Sorbonne Paris Cité 10 rue Alice Domon et Léonie Duquet 75205 Paris Cedex 13 France Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive Pasadena California USA Dipartimento di Fisica e Astronomia G. Galilei Università degli Studi di Padova via Marzolo 8 35131 Padova Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova via Marzolo 8 I-35131 Padova Italy University of Granada Departamento de Física Teórica y del Cosmos Facultad de Ciencias Granada Spain University of Granada Instituto Carlos I de Física Teórica y Computacional Granada Spain Institut d’Astrophysique de Paris CNRS (UMR7095) 98 bis Boulevard Arago F-75014 Paris France UPMC Université de Paris 06 UMR7095 98 bis Boulevard Arago F-75014 Paris France Institut Néel CNRS Université Joseph Fourier Grenoble I 25 rue des Martyrs Grenoble France Department of Physics and Astronomy University College London L

We report the results of a joint analysis of data from BICEP2/Keck Array and Planck. BICEP2 and Keck Array have observed the same approximately 400 deg2 patch of sky centered on RA 0 h, Dec. −57.5°. The combined maps reach a depth of 57 nK deg in Stokes Q and U in a band centered at 150 GHz. Planck has observed the full sky in polarization at seven frequencies from 30 to 353 GHz, but much less deeply in any given region (1.2 μK deg in Q and U at 143 GHz). We detect 150×353 cross-correlation in B modes at high significance. We fit the single- and cross-frequency power spectra at frequencies ≥150 GHz to a lensed-ΛCDM model that includes dust and a possible contribution from inflationary gravitational waves (as parametrized by the tensor-to-scalar ratio r), using a prior on the frequency spectral behavior of polarized dust emission from previous Planck analysis of other regions of the sky. We find strong evidence for dust and no statistically significant evidence for tensor modes. We probe various model variations and extensions, including adding a synchrotron component in combination with lower frequency data, and find that these make little difference to the r constraint. Finally, we present an alternative analysis which is similar to a map-based cleaning of the dust contribution, and show that this gives similar constraints. The final result is expressed as a likelihood curve for r, and yields an upper limit r0.05<0.12 at 95% confidence. Marginalizing over dust and r, lensing B modes are detected at 7.0σ significance.

关键词： STOKES equations FREQUENCIES of oscillating systems POWER spectra GRAVITATIONAL waves

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T645 LOCALISED RESISTANCE SELECTIVELY ACTIVATES THE SEMISPINALIS CERVICIS MUSCLE IN PATIENTS WITH NECK PAIN

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European Journal of Pain Supplements 2011年第1期5卷 93-94页

作者： J. Schomacher D. Falla Health Science and Technology Aalborg University Aalborg Denmark Pain Clinic Center for Anesthesiology Emergency and Intensive Care Medicine University Hospital Göttingen Germany Department of Neurorehabilitation Engineering Bernstein Center for Computational Neuroscience University Medical Center Göttingen Georg-August University Göttingen Germany

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T218 REDUCED SPECIFICITY OF SEMISPINALIS CERVICIS ACTIVITY IN WOMEN WITH PERSISTENT NECK PAIN

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European Journal of Pain Supplements 2011年第1期5卷 41-41页

作者： J. Schomacher D. Falla Center for Sensory-Motor Interaction (SMI) Department of Health Science and Technology Aalborg University Aalborg Denmark Pain Clinic Center for Anesthesiology Emergency and Intensive Care Medicine University Hospital Göttingen Department of Neurorehabilitation Engineering Bernstein Center for Computational Neuroscience University Medical Center Göttingen Georg-August University Göttingen Germany

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JAWS: Job-aware workload scheduling for the exploration of turbulence simulations 10

JAWS: Job-aware workload scheduling for the exploration of t...

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Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis

作者： Wang, Xiaodan Perlman, Eric Burns, Randal Malik, Tanu Budavári, Tamas Meneveau, Charles Szalay, Alexander Dept. of Computer Science Johns Hopkins University United States Cyber Center Purdue University United States Dept. of Physics and Astronomy Johns Hopkins University United States Dept. of Mechanical Engineering Johns Hopkins University United States Institute for Data Intensive Engineering and Science Johns Hopkins University United States

ISBN: (纸本)9781424475575

We present JAWS, a job-aware, data-driven batch scheduler that improves query throughput for data-intensive scientific database clusters. As datasets reach petabyte-scale, workloads that scan through vast amounts of data to extract features are gaining importance in the sciences. However, acute performance bottlenecks result when multiple queries execute simultaneously and compete for I/O resources. Our solution, JAWS, divides queries into I/O-friendly sub-queries for scheduling. It then identifies overlapping data requirements within the workload and executes sub-queries in batches to maximize data sharing and reduce redundant I/O. JAWS extends our previous work [1] by supporting workflows in which queries exhibit data dependencies, exploiting workload knowledge to coordinate caching decisions, and combating starvation through adaptive and incremental trade-offs between query throughput and response time. Instrumenting JAWS in the Turbulence database Cluster [2] yields nearly three-fold improvement in query throughput when contention in the workload is high. © 2010 IEEE.

关键词： Scheduling

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Resource management of enterprise cloud systems using layered queuing and historical performance models

Resource management of enterprise cloud systems using layere...

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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： David A. Bacigalupo Jano van Hemert Asif Usmani Donna N. Dillenberger Gary B. Wills Stephen A. Jarvis School of Electronics and Computer Science University of Southampton UK Data-Intensive Research Group School of Informatics University of Edinburgh UK BRE Centre of Fire Safety Engineering School of Engineering University of Edinburgh UK IBM Thomas J. Watson Research Center Yorktown Heights NY USA High Performance Systems Group Department of Computer Science University of Warwick UK

ISBN: (纸本)9781424465330

The automatic allocation of enterprise workload to resources can be enhanced by being able to make `what-if' response time predictions, whilst different allocations are being considered. It is important to quantitatively compare the effectiveness of different prediction techniques for use in cloud infrastructures. To help make the comparison of relevance to a wide range of possible cloud environments it is useful to consider the following. 1.) urgent cloud customers such as the emergency services that can demand cloud resources at short notice (e.g. for our FireGrid emergency response software). 2.) dynamic enterprise systems, that must rapidly adapt to frequent changes in workload, system configuration and/or available cloud servers. 3.) The use of the predictions in a coordinated manner by both the cloud infrastructure and cloud customer management systems. 4.) A broad range of criteria for evaluating each technique. However, there have been no previous comparisons meeting these requirements. This paper, meeting the above requirements, quantitatively compares the layered queuing and (¿HYDRA¿) historical techniques - including our initial thoughts on how they could be combined. Supporting results and experiments include the following: i.) defining, investigating and hence providing guidelines on the use of a historical and layered queuing model; ii.) using these guidelines showing that both techniques can make low overhead and typically over 70% accurate predictions, for new server architectures for which only a small number of benchmarks have been run; and iii.) defining and investigating tuning a prediction-based cloud workload and resource management algorithm.

关键词： Resource management Clouds Delay Predictive models Computer science data engineering Emergency services Disaster management Guidelines Quality of service

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Prediction of protein sub-cellular localization using information from texts and sequences

Prediction of protein sub-cellular localization using inform...

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2008 Current Trends in Biomedical Natural Language Processing, BioNLP 2008

作者： Chun, Hong-Woo Yamasaki, Chisato Saichi, Naomi Tanaka, Masayuki Hishiki, Teruyoshi Imanishi, Tadashi Gojobori, Takashi Kim, Jin-Dong Tsujii, Jun'Ichi Takagi, Toshihisa Database Center for Life Science Research Organization of Information and System University of Tokyo Engineering 12th Bldg. 2-11-16 Yayoi Bunkyo-ku Tokyo113-0032 Japan Japan Biological Information Research Center Japan Biological Informatics Consortium Japan Biological Information Research Center National Institute of Advanced Industrial Science and Technology Japan Department of Computer Science University of Tokyo Japan Graduate School of Information Science and Technology Hokkaido University Japan Center for Information Biology DNA Data Bank of Japan National Institute of Genetics United Kingdom School of Informatics University of Manchester United Kingdom National Centre for Text Mining United Kingdom Department of Computational Biology University of Tokyo Japan

ISBN: (纸本)9781932432114

关键词： Proteins

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Epileptic seizure detection

Epileptic seizure detection

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作者： Schuyler, Ronald White, Andrew Staley, Kevin Cios, Krzysztof J. Computational Bioscience Ph.D. Program UCDHSC United States University of Colorado United States American Epilepsy Society Society for Neuroscience United States Department of Neurology Massachusetts General Hospital Harvard Medical School United States Staley Lab. United States University of Colorado at Denver Health Sciences Center United States University of Colorado Bioenergetics Institute United States Data Mining and Bioinformatics Laboratory Turkey Polish Academy of Arts and Sciences Poland Dept. of Computer Science and Engineering University of Colorado at Denver Health Sciences Center P.O. Box 173364 Denver CO 80217-3364 United States

No abstract available

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Radiation-coupled front-tracking simulations for laser-driven shock experiments

Radiation-coupled front-tracking simulations for laser-drive...

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作者： Zhang, Yongmin Drake, R. Paul Glimm, James Grove, John W. Sharp, David H. Department of Applied Mathematics and Statistics University at Stony Brook Stony Brook NY 11974-3600 United States University of Michigan 2455 Hayward St. Ann Arbor MI 48105 United States Center for Data Intensive Computing Brookhaven National Laboratory Upton NY 11793-6000 United States Continuum Dynamics Group Computer and Computational Science Division Los Alamos National Laboratory Los Alamos NM 87545 United States Complex Systems Group Theoretical Division Los Alamos National Laboratory Los Alamos NM 87545 United States

The purpose of this paper is to develop a numerical algorithm to track the preheat interface motion driven by radiation transfer in high-intensity laser experiments. Our front-tracking algorithm is coupled to a radiation process through an inter-package coupling by connecting the output from a radhydro code HYADES to the input of FronTier code of front tracking. Our coupled algorithm is validated by comparing simulation results from both codes in both low and high radiation cases. Significant interface motion and deformation of the harmonic perturbation due to radiation preheat are observed in high radiation heat case. © 2005 Elsevier Ltd. All rights reserved.

关键词： Algorithms

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Repackaging database systems

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ACM Computing Surveys 1996年第4ES期28卷

作者： David Maier Oregon Graduate Institute Department of Computer Science and Engineering Data-Intensive Systems Center P.O. Box 91000 Portland OR

No abstract available.

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Digital Twin for Digital Health: Body Joint Modeling and 3D Pose Reconstruction

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ACM Transactions on Computing for Healthcare 1000年

作者： Huan Chen Xiaoye Qian Yi Cai Tianyu Lu Xiaowei Xu Feng Lin Shih-Ching Yeh Ming-Chun Huang Department of Electrical Computer and Systems Engineering Case Western Reserve University USA Department of Computer Science Northeastern University USA Department of Cardiovascular Surgery Guangdong Cardiovascular Institute Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences) and Southern Medical University China School of Cyber Science and Technology ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University China Department of Photonic System National Yang Ming Chiao Tung University and Department of Computer Science and Information Engineering National Central University Taiwan Department of Data and Computational Science Duke Kunshan University China

Body joint modeling and human pose reconstruction provide precise motion and quantitative geometric information about human dynamics. The rich motion information obtained from human pose estimation plays important roles in a wide range of digital twin and connected health applications. However, current related researches have difficulties in extracting the joints’ spatial-temporal correlations from different levels. This is due to the poses being at various complexities in moving various joints differently. Hence, the typical conventional transformer method is non-adaptable and barely meets the aforementioned requirement. In this paper, we propose the Body Joint Interactive transFormers (BJIFormer) to extract the multi-level joints’ spatial-temporal information. The design enables the model to learn the inner joints’ correlation inside the body parts across frames and propagate the extracted information across the body parts with shared joints. The multi-level body joint interactive scheme has greater efficiency improvement by restricting the self-attention computation to partial body parts and connecting each body part by torso. The proposed interactive approach explores the spatial-temporal correlation following the hierarchical paradigm and effectively estimates and reconstructs 3D human poses.

关键词： Digital Twin Digital Health Body Joint Modeling Pose Reconstruction

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