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A global multiproxy database for temperature reconstructions of the Common Era

Scientific Data 2017年第1期4卷 170088-170120页

作者： Emile-Geay, Julien McKay, Nicholas P. Kaufman, Darrell S. Von Gunten, Lucien Wang, Jianghao Anchukaitis, Kevin J. Abram, Nerilie J. Addison, Jason A. Curran, Mark A.J. Evans, Michael N. Henley, Benjamin J. Hao, Zhixin Martrat, Belen McGregor, Helen V. Neukom, Raphael Pederson, Gregory T. Stenni, Barbara Thirumalai, Kaustubh Werner, Johannes P. Xu, Chenxi Divine, Dmitry V. Dixon, Bronwyn C. Gergis, Joelle Mundo, Ignacio A. Nakatsuka, Takeshi Phipps, Steven J. Routson, Cody C. Steig, Eric J. Tierney, Jessica E. Tyler, Jonathan J. Allen, Kathryn J. Bertler, Nancy A.N. Björklund, Jesper Chase, Brian M. Chen, Min-Te Cook, Ed De Jong, Rixt DeLong, Kristine L. Dixon, Daniel A. Ekaykin, Alexey A. Ersek, Vasile Filipsson, Helena L. Francus, Pierre Freund, Mandy B. Frezzotti, Massimo Gaire, Narayan P. Gajewski, Konrad Ge, Quansheng Goosse, Hugues Gornostaeva, Anastasia Grosjean, Martin Horiuchi, Kazuho Hormes, Anne Husum, Katrine Isaksson, Elisabeth Kandasamy, Selvaraj Kawamura, Kenji Kilbourne, K. Halimeda Koç, Nalan Leduc, Guillaume Linderholm, Hans W. Lorrey, Andrew M. Mikhalenko, Vladimir Mortyn, P. Graham Motoyama, Hideaki Moy, Andrew D. Mulvaney, Robert Munz, Philipp M. Nash, David J. Oerter, Hans Opel, Thomas Orsi, Anais J. Ovchinnikov, Dmitriy V. Porter, Trevor J. Roop, Heidi A. Saenger, Casey Sano, Masaki Sauchyn, David Saunders, Krystyna M. Seidenkrantz, Marit-Solveig Severi, Mirko Shao, Xuemei Sicre, Marie-Alexandrine Sigl, Michael Sinclair, Kate St George, Scott St Jacques, Jeannine-Marie Thamban, Meloth Thapa, Udya Kuwar Thomas, Elizabeth R. Turney, Chris Uemura, Ryu Viau, Andre E. Vladimirova, Diana O. Wahl, Eugene R. White, James W.C. Yu, Zicheng Zinke, Jens Department of Earth Sciences Center for Applied Mathematical Sciences University of Southern California Los Angeles 90089 CA United States School of Earth Sciences and Environmental Sustainability Northern Arizona University Flagstaff 86001 AZ United States PAGES International Project Office Bern 3012 Switzerland Mathworks Inc. Natick 01760 MA United States School of Geography and Development Laboratory of Tree Ring Research University of Arizona Tucson 85721 AZ United States Research School of Earth Sciences ARC Centre of Excellence for Climate System Science Australian National University Canberra 2601 ACT Australia U.S. Geological Survey Menlo Park 94025 CA United States Australian Antarctic Division Kingston 7050 TAS Australia Antarctic Climate and Ecosystems CRC University of Tasmania Hobart 7050 TAS Australia Department of Geology and Earth System Science Interdisciplinary Center University of Maryland College Park 20742 MD United States School of Earth Sciences University of Melbourne Melbourne 3010 VIC Australia Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China Department of Environmental Chemistry Institute of Environmental Assessment and Water Research Spanish Council for Scientific Research Barcelona 08034 Spain Department of Earth Sciences University of Cambridge Cambridge CB2 3EQ United Kingdom School of Earth and Environmental Sciences University of Wollongong Wollongong 2522 NSW Australia Oeschger Centre for Climate Change Research Institute of Geography University of Bern Bern 3012 Switzerland U.S. Geological Survey Northern Rocky Mountain Science Center Bozeman 59715 MT United States Department of Environmental Sciences Informatics and Statistics Ca' Foscari University of Venice Venice 30170 Italy Institute for Geophysics Jackson School of Geosciences University of Texas at Austin Austin 78758 TX United States Department for Earth Science Bje

Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850-2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.

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An Efficient Social Event Invitation Framework Based on Historical Data of Smart Devices

An Efficient Social Event Invitation Framework Based on Hist...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Chunyu Ai Meng Han Jinbao Wang Mingyuan Yan Division of Mathematics & Computer Science University of South Carolina Upstate Spartanburg South Carolina Georgia State University College of Law Atlanta GA US The Academy of Fundamental and Interdisciplinary Sciences Harbin Institute of Technology Harbin China Computer Science and Information Systems University of North Georgia Dahlonega Georgia

ISBN: (纸本)9781509039371

A lot of people prefer to attend activities or do daily workout with partners, friends, or even strangers instead of solo, however, it is not easy to have partners or friends as companies all the time since everyone has different schedule. With the rapid growth of using smart devices and social network applications in our daily life, more and more people start establishing connections with people through the social network. Therefore, designing a framework for organizing social events and activities based on collected historical data of smart devices is an efficient way to encourage people to enjoy activities they like with people they can get along well. In this paper, we proposed a smart social event invitation framework to select invitation receivers for an event organizer based on smart device historical data of owners. Habits and abilities of smart device owners can be summarized from the historical data. The selection algorithms would choose invitation receivers who have time and ability to attend the event. Moreover, in order to guarantee each participant can enjoy participating in the event, we proposed two algorithms, greedy searching and k-core algorithm, to pick invitation receivers. k-core algorithm uses k-core graph theory to ensure that each receiver has at least k friends are invited as well. Also, the proposed framework encourages less active or isolated people via issuing higher priority to them thus improving overall active levels of all members. The simulation results show that our proposed framework has good performance.

关键词： Smart devices Receivers Social network services Electronic mail Privacy Computer science Schedules

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Recent hybrid metaheuristics for multiobjective scheduling 45

Recent hybrid metaheuristics for multiobjective scheduling

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45th International Conference on Computers and Industrial Engineering, CIE 2015

作者： Gen, Mitsuo Lin, Lin Zhang, Wenqiang Yun, YoungSu Department of Research Fuzzy Logic Systems Institute Japan Research Institute of Science and Technology Tokyo University of Science Japan School of Software Engineering Dalian University of Technology China College of Information Science and Engineering Henan University of Technology China Division of Business Administration Chosun University Korea Republic of

In real manufacturing systems there are many combinatorial optimization problems (COP) imposing on more complex issues with multiple objectives. However it is very difficult for solving the COP problems intractable by the traditional approaches because of NP-hard problems. For developing effective and efficient algorithms that are in a sense "good," i.e., whose computational time is small as within 3 minutes, we have to consider three issues: quality of solution, computational time and effectiveness of the nondominated solutions for multiobjective optimization problem (MOP). In this paper, we focus on recent hybrid metaheuristics to solve a variety of multiobjective scheduling problems in manufacturing systems: hybrid sampling strategy-based multiobjective evolutionary algorithm (HSS-MoEA) and hybrid multiobjective genetic algorithm and particle swarm optimization with Cauchy distribution (***+CD). We also demonstrate their applications to AGV dispatching model by random key-based hybrid evolutionary algorithm, assembly line balancing model with worker capability by HSS-MoEA and two-stage re-entrant flexible flowshop scheduling with blocking by Hybrid PSO with FLC.

关键词： Genetic algorithms

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Data assimilation for massive autonomous systems based on a second-order adjoint method

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Physical Review E 2016年第4期94卷 043307-043307页

作者： Shin-ichi Ito Hiromichi Nagao Akinori Yamanaka Yuhki Tsukada Toshiyuki Koyama Masayuki Kano Junya Inoue Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Graduate School of Information Science and Technology The University of Tokyo 7-3-1 Hongo Bunkyo-ku 113-8656 Tokyo Japan Division of Advanced Mechanical Systems Engineering Institute of Engineering Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei Tokyo 184-8588 Japan Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Nagoya Aichi 464-8603 Japan Research Center for Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo 153-8904 Japan

Data assimilation (DA) is a fundamental computational technique that integrates numerical simulation models and observation data on the basis of Bayesian statistics. Originally developed for meteorology, especially weather forecasting, DA is now an accepted technique in various scientific fields. One key issue that remains controversial is the implementation of DA in massive simulation models under the constraints of limited computation time and resources. In this paper, we propose an adjoint-based DA method for massive autonomous models that produces optimum estimates and their uncertainties within reasonable computation time and resource constraints. The uncertainties are given as several diagonal elements of an inverse Hessian matrix, which is the covariance matrix of a normal distribution that approximates the target posterior probability density function in the neighborhood of the optimum. Conventional algorithms for deriving the inverse Hessian matrix require O(CN2+N3) computations and O(N2) memory, where N is the number of degrees of freedom of a given autonomous system and C is the number of computations needed to simulate time series of suitable length. The proposed method using a second-order adjoint method allows us to directly evaluate the diagonal elements of the inverse Hessian matrix without computing all of its elements. This drastically reduces the number of computations to O(C) and the amount of memory to O(N) for each diagonal element. The proposed method is validated through numerical tests using a massive two-dimensional Kobayashi phase-field model. We confirm that the proposed method correctly reproduces the parameter and initial state assumed in advance, and successfully evaluates the uncertainty of the parameter. Such information regarding uncertainty is valuable, as it can be used to optimize the design of experiments.

关键词： Bayesian methods Numerical techniques

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Energy Spectrum of Cosmic-Ray Electron and Positron from 10 GeV to 3 TeV Observed with the Calorimetric Electron Telescope on the International Space Station

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Physical Review Letters 2017年第18期119卷 181101-181101页

作者： O. Adriani Y. Akaike K. Asano Y. Asaoka M. G. Bagliesi G. Bigongiari W. R. Binns S. Bonechi M. Bongi P. Brogi J. H. Buckley N. Cannady G. Castellini C. Checchia M. L. Cherry G. Collazuol V. Di Felice K. Ebisawa H. Fuke T. G. Guzik T. Hams M. Hareyama N. Hasebe K. Hibino M. Ichimura K. Ioka W. Ishizaki M. H. Israel A. Javaid K. Kasahara J. Kataoka R. Kataoka Y. Katayose C. Kato N. Kawanaka Y. Kawakubo H. S. Krawczynski J. F. Krizmanic S. Kuramata T. Lomtadze P. Maestro P. S. Marrocchesi A. M. Messineo J. W. Mitchell S. Miyake K. Mizutani A. A. Moiseev K. Mori M. Mori N. Mori H. M. Motz K. Munakata H. Murakami S. Nakahira J. Nishimura G. A. de Nolfo S. Okuno J. F. Ormes S. Ozawa L. Pacini F. Palma P. Papini A. V. Penacchioni B. F. Rauch S. B. Ricciarini K. Sakai T. Sakamoto M. Sasaki Y. Shimizu A. Shiomi R. Sparvoli P. Spillantini F. Stolzi I. Takahashi M. Takayanagi M. Takita T. Tamura N. Tateyama T. Terasawa H. Tomida S. Torii Y. Tsunesada Y. Uchihori S. Ueno E. Vannuccini J. P. Wefel K. Yamaoka S. Yanagita A. Yoshida K. Yoshida T. Yuda Department of Physics University of Florence Via Sansone 1–50019 Sesto Fiorentino Italy INFN Sezione di Florence Via Sansone 1–50019 Sesto Fiorentino Italy of Physics University of Maryland Baltimore County 1000 Hilltop Circle Baltimore Maryland 21250 USA Astroparticle Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba 277-8582 Japan Research Institute for Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo 169-8555 Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki 305-8505 Japan Department of Physical Sciences Earth and Environment University of Siena via Roma 56 53100 Siena Italy INFN Sezione di Pisa Polo Fibonacci Largo B. Pontecorvo 3–56127 Pisa Italy Department of Physics Washington University One Brookings Drive St. Louis Missouri 63130-4899 USA Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton Rouge Louisiana 70803 USA Institute of Applied Physics (IFAC) National Research Council (CNR) Via Madonna del Piano 10 50019 Sesto Fiorentino Italy Department of Physics and Astronomy University of Padova Via Marzolo 8 35131 Padova Italy INFN Sezione di Padova Via Marzolo 8 35131 Padova Italy University of Rome “Tor Vergata ” Via della Ricerca Scientifica 1 00133 Rome Italy INFN Sezione di Rome “Tor Vergata ” Via della Ricerca Scientifica 1 00133 Rome Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa 252-5210 Japan CRESST and Astroparticle Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA St. Marianna University School of Medicine 2-16-1 Sugao Miyamae-ku Kawasaki Kanagawa 216-8511 Japan Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa 221-8686 Japan Faculty of Science and Technology Gradua

First results of a cosmic-ray electron and positron spectrum from 10 GeV to 3 TeV is presented based upon observations with the CALET instrument on the International Space Station starting in October, 2015. Nearly a half million electron and positron events are included in the analysis. CALET is an all-calorimetric instrument with total vertical thickness of 30 X0 and a fine imaging capability designed to achieve a large proton rejection and excellent energy resolution well into the TeV energy region. The observed energy spectrum over 30 GeV can be fit with a single power law with a spectral index of −3.152±0.016 (stat+syst). Possible structure observed above 100 GeV requires further investigation with increased statistics and refined data analysis.

关键词： Cosmic ray acceleration Cosmic ray composition & spectra Cosmic ray propagation Cosmic ray sources Cosmic rays & astroparticles Particle dark matter

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A data-driven approach to predict daily risk of Clostridium difficile infection at two large academic health centers

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Open Forum Infectious Diseases 2017年第SUPPL_1期4卷 S403-S404页

作者： Makar, Maggie Oh, Jeeheh Fusco, Christopher Marchesani, Joseph McCaffrey, Robert Rao, Krishna Ryan, Erin E Washer, Laraine West, Lauren R Young, Vincent B Guttag, John Hooper, David C Shenoy, Erica S Wiens, Jenna Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge Massachusetts Computer Science and Engineering University of Michigan Ann Arbor Michigan Information Systems Partners HealthCare Boston Massachusetts Department of Internal Medicine Division of Infectious Diseases University of Michigan Medical School Ann Arbor Michigan Division of Infectious Diseases Massachusetts General Hospital Boston Massachusetts Infection Control Unit Massachusetts General Hospital Boston Massachusetts Harvard Medical School Boston Massachusetts Department of Medicine Division of Infectious Diseases Massachusetts General Hospital Boston Massachusetts Medical Practice Evaluation Center Department of Medicine Massachusetts General Hospital Boston Massachusetts

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Erratum to: Evaluation of the best linear unbiased prediction method for breeding values of fruit-quality traits in citrus

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Tree Genetics & Genomes 2016年第1期13卷 1-6页

作者： Imai, A. Kuniga, T. Yoshioka, T. Nonaka, K. Mitani, N. Fukamachi, H. Hiehata, N. Yamamoto, M. Hayashi, T. Citrus Research Division National Agriculture and Food Research Organization (NARO) Institute of Fruit Tree Science (NIFTS) Minamishimabara Nagasaki Japan Breeding and Pest Management Division National Agriculture and Food Research Organization (NARO) Institute of Fruit Tree Science (NIFTS) Tsukuba Japan Graduate School of Life and Environmental Sciences University of Tsukuba Tsukuba Japan Hillside Horticulture Research Division National Agriculture and Food Research Organization (NARO) Western Region Agricultural Research Center (WARC) Zentsuji Japan Citrus Research Division National Agriculture and Food Research Organization (NARO) Institute of Fruit Tree Science (NIFTS) Shimizu Japan Division of Fruit Production and Postharvest Science National Agriculture and Food Research Organization (NARO) Institute of Fruit Tree Science (NIFTS) Tsukuba Japan Kenou Development Bureau Nagasaki Prefectural Government Isahaya Nagasaki Japan Faculty of Agriculture Kagoshima University Kagoshima Japan Division of Agricultural Systems and Information Technology National Agriculture and Food Research Organization (NARO) National Agricultural Research Center (NARC) Tsukuba Japan

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A Privacy Preserving Truthful Spectrum Auction Scheme using Homomorphic Encryption

A Privacy Preserving Truthful Spectrum Auction Scheme using ...

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IEEE Global Communications Conference

作者： Xiaoyan Wang Yusheng Ji Hao Zhou Zhi Liu Yu Gu Jie Li Information Systems Architecture Science Research Division National Institute of Informatics School of Computer Science University of Science and Technology of China Global Information and Telecommunication Institute Waseda University School of Computer and Information Hefei University of Technology Faculty of Engineering Information and Systems University of Tsukuba

ISBN: (纸本)9781479959532

Dynamic spectrum reallocation, under which the spectrum owners temporarily share the underutilized spectrum to secondary users for economic profit, is an important approach to improve the spectrum utilization ratio. Auction is believed to be a natural marketing tool to incentivize the spectrum owners, and thus redistribute the idle spectrum efficiently. Extensive researches have been done in the problem of truthful spectrum auction, in which the bidders bid based on their true valuations of the spectrum. The true valuation of the individual bidder, however, is a private information which should be protected against exposure. In this paper, we propose a privacy preserving truthful spectrum auction scheme by utilizing homomorphic encryption. The proposed scheme reveals the group bids but hides the users' bids even from the auctioneer. The evaluation results show that the proposed scheme achieves good spectrum utilization efficiency with low communication and computation overheads.

关键词： Spectra spectrum utilization efficiency Homomorphic encryption Privacy Scheme

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Energy calibration of CALET onboard the international space station

arXiv

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arXiv 2017年

作者： Asaoka, Y. Akaike, Y. Komiya, Y. Miyata, R. Torii, S. Adriani, O. Asano, K. Bagliesi, M.G. Bigongiari, G. Binns, W.R. Bonechi, S. Bongi, M. Brogi, P. Buckley, J.H. Cannady, N. Castellini, G. Checchia, C. Cherry, M.L. Collazuol, G. Di Felice, V. Ebisawa, K. Fuke, H. Guzik, T.G. Hams, T. Hareyama, M. Hasebe, N. Hibino, K. Ichimura, M. Ioka, K. Ishizaki, W. Israel, M.H. Javaid, A. Kasahara, K. Kataoka, J. Kataoka, R. Katayose, Y. Kato, C. Kawanaka, N. Kawakubo, Y. Kitamura, H. Krawczynski, H.S. Krizmanic, J.F. Kuramata, S. Lomtadze, T. Maestro, P. Marrocchesi, P.S. Messineo, A.M. Mitchell, J.W. Miyake, S. Mizutani, K. Moiseev, A.A. Mori, K. Mori, M. Mori, N. Motz, H.M. Munakata, K. Murakami, H. Nakagawa, Y.E. Nakahira, S. Nishimura, J. Okuno, S. Ormes, J.F. Ozawa, S. Pacini, L. Palma, F. Papini, P. Penacchioni, A.V. Rauch, B.F. Ricciarini, S. Sakai, K. Sakamoto, T. Sasaki, M. Shimizu, Y. Shiomi, A. Sparvoli, R. Spillantini, P. Stolzi, F. Takahashi, I. Takayanagi, M. Takita, M. Tamura, T. Tateyama, N. Terasawa, T. Tomida, H. Tsunesada, Y. Uchihori, Y. Ueno, S. Vannuccini, E. Wefel, J.P. Yamaoka, K. Yanagita, S. Yoshida, A. Yoshida, K. Yuda, T. Research Institute for Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan JEM Mission Operations and Integration Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki305-8505 Japan Universities Space Research Association 7178 Columbia Gateway Drive ColumbiaMD21046 United States CRESST Astroparticle Physics Laboratory NASA GSFC GreenbeltMD20771 United States School of Advanced Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan University of Florence Via Sansone 1 Sesto Fiorentino50019 Italy Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba277-8582 Japan University of Siena Rettorato via Banchi di Sotto 55 Siena53100 Italy Department of Physics Washington University One Brookings Drive St. LouisMO63130-4899 United States Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton RougeLA70803 United States Department of Physics and Astronomy University of Padova Via Marzolo 8 Padova35131 Italy University of Rome Tor Vergata Via della Ricerca Scientifica 1 Rome00133 Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa252-5210 Japan Department of Physics University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States St. Marianna University School of Medicine 2-16-1 Sugao Miyamae-ku Kawasaki Kanagawa216-8511 Japan Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa221-8686 Japan Faculty of Science and Technology Graduate School of Science and Technology Hirosaki University 3 Bunkyo Hirosaki Aomori036-8561 Japan Yukawa Institute for Theoretical Physics Kyoto University Kitashirakawa Oiwakecho Sakyo Kyoto606-8502 Japan National Institute of Polar Research 10-3 Midori-cho Tachikawa Tokyo190-8518 Japan Facu

In August 2015, the CALorimetric Electron Telescope (CALET), designed for long exposure observations of high energy cosmic rays, docked with the International Space Station (ISS) and shortly thereafter began to collect data. CALET will measure the cosmic ray electron spectrum over the energy range of 1 GeV to 20 TeV with a very high resolution of 2% above 100 GeV, based on a dedicated instrument incorporating an exceptionally thick 30 radiationlength calorimeter with both total absorption and imaging (TASC and IMC) units. Each TASC readout channel must be carefully calibrated over the extremely wide dynamic range of CALET that spans six orders of magnitude in order to obtain a degree of calibration accuracy matching the resolution of energy measurements. These calibrations consist of calculating the conversion factors between ADC units and energy deposits, ensuring linearity over each gain range, and providing a seamless transition between neighboring gain ranges. This paper describes these calibration methods in detail, along with the resulting data and associated accuracies. The results presented in this paper show that a sufficient accuracy was achieved for the calibrations of each channel in order to obtain a suitable resolution over the entire dynamic range of the electron spectrum measurement. Copyright © 2017, The Authors. All rights reserved.

关键词： Calorimeters

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