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SU(3) ISOSCALAR FACTORS AND REPRESENTATION MATRICES

Chinese Physics C 2014年第9期38卷 506-506页

作者： K.A.Olive K.Agashe C.Amsler M.Antonelli j.-F.Arguin D.M.Asner H.Baer H.R.Band R.M.Barnett T.Basaglia C.W.Bauer j.j.Beatty V.I.Belousov j.Beringer G.Bernardi S.Bethke H.Bichsel O.Biebe E.Blucher S.Blusk G.Brooijmans O.Buchmueller V.Burkert M.A.Bychkov R.N.Cahn M.Carena A.Ceccucci A.Cerr D.Chakraborty M.-C.Chen R.S.Chivukula K.Copic G.Cowan O.Dahl G.D'Ambrosio T.Damour D.de Florian A.de Gouvea T.DeGrand P.de jong G.Dissertor B.A.Dobrescu M.Doser M.Drees H.K.Dreiner D.A.Edwards S.Eidelman j.Erler V.V.Ezhela W.Fetscher B.D.Fields B.Foster A.Freitas T.K.Gaisser H.Gallagher L.Garren H.-j.Gerber G.Gerbier T.Gershon T.Gherghetta S.Golwala M.Goodman C.Grab A.V.Gritsan C.Grojean D.E.Groom M.Grnewald A.Gurtu T.Gutsche H.E.Haber K.Hagiwara C.Hanhart S.Hashimoto Y.Hayato K.G.Hayes M.Heffner B.Heltsley j.j.Hernandez-Rey K.Hikasa A.Hocker j.Holder A.Holtkamp j.Huston j.D.jackson K.F.johnson T.junk M.Kado D.Karlen U.F.Katz S.R.Klein E.Klempt R.V.Kowalewski F.Krauss M.Kreps B.Krusche Yu.V.Kuyanov Y.Kwon O.Lahav j.Laiho P.Langacker A.Liddle Z.Ligeti C.-j.Lin T.M.Liss L.Littenberg K.S.Lugovsky S.B.Lugovsky F.Maltoni T.Mannel A.V.Manohar W.j.Marciano A.D.Martin A.Masoni j.Matthews D.Milstead P.Molaro K.Monig F.Moortgat M.j.Mortonson H.Murayama K.Nakamura M.Narain P.Nason S.Navas M.Neubert P.Nevski Y.Nir L.Pape j.Parsons C.Patrignani j.A.Peacock M.Pennington S.T.Petcov Kavli IPMU A.Piepke A.Pomarol A.Quadt S.Raby j.Rademacker G.Raffel B.N.Ratcliff P.Richardson A.Ringwald S.Roesler S.Rolli A.Romaniouk L.j.Rosenberg j L.Rosner G.Rybka C.T.Sachrajda Y.Sakai G.P.salam S.Sarkar F.Sauli O.Schneider K.Scholberg D.Scott V.Sharma S.R.Sharpe M.Silari T.Sjostrand P.Skands j.G.Smith G.F.Smoot S.Spanier H.Spieler C.Spiering A.Stahl T.Stanev S.L.Stone T.Sumiyoshi M.j.Syphers F.Takahashi M.Tanabashi j.Terning L.Tiator M.Titov N.P.Tkachenko N.A.Tornqvist D.Tovey G.Valencia G.Venanzoni M.G.Vincter P.Vogel A.Vogt S.P.Wakely W.Walkowiak C.W.Walter D.R.Ward G.Weiglein D.H.Weinberg E.j.Weinberg M.White L.R.Wiencke C.G.Wohl L.Wolfenstein j.Womersley C.L. University of Minnesota School of Physics and Astronomy116 Church St.S.E.MinneapolisMN 55455USA University of Maryland Department of PhysicsCollege ParkMD 20742-4111USA Albert Einstein Center for Fundamental Physics Universitat BernCH-3012 BernSwitzerland Lab.Nazionali di Frascati dell'INFN CP 13via E.Fermi40I-00044 Frascati(Roma)Italy Departement de physique Universite de MontrealC.P.6128succ.centre-villeMontreal(Quebec) H3C 3J7Canada Pacific Northwest National Laboratory 902 Battelle BoulevardRichlandWA 99352USA Department of Physics and Astronomy University of OklahomaNormanOK 73019USA Department of Physics University of WisconsinMadisonWI 53706USA Physics Division Lawrence Berkeley National Laboratory1 Cyclotron RoadBerkeleyCA 94720USA CERN European Organization for Nuclear ResearchCH-1211 Geneve 23Switzerland Department of Physics The Ohio State University191 W.Woodruff Ave.ColumbusOH 43210 COMPAS Group Institute for High Energy PhysicsRU- 142284ProtvinoRussia LPNHE IN2P3-CNRS et Universites de Paris 6 et 7F-75252 ParisFrance Max-Planck-Institute of Physics 80805 MunichGermany Department of Physics University of WashingtonSeattleWA 98195USA Ludwig-Maximilians-Universitat Fakultdt für PhysikSchellingstr.4D-80799 MünchenGermany Enrico Fermi Institute and Department of Physics University of ChicagoChicagoIL 60637-1433USA Department of Physics Syracuse UniversitySyracuseNY13244USA Department of Physics Columbia University538 W.120th StreetNew YorkNY10027 USA High Energy Physics Group Blackett LaboratoryImperial CollegePrince Consort RoadLondon SW7 2AZUK jefferson Lab 12000 Jefferson Ave.Newport NewsVA 23606USA Department of Physics University of VirginiaPO Box 400714CharlottesvilleVA 22904USA Fermi National Accelerator Laboratory P.O.Box 500BataviaIL 60510USA Kavli Institute for Cosmological Physics University of ChicagoChicagoIL 60637-1433USA Department of Physics and Astronomy University of SussexFalmerBrighton BN1 9QHUK Department o

Written by R.L. Kelly （LBNL）. The most commonly used SU（3） isoscalar factors, corresponding to the singlet, octet, and deeuplet content of 8 8 and 10 8, are shown at the right. The notation uses particle names to identify the coefficients, so that the pattern of relative couplings may be seen at a glance. We illustrate the use of the coefficients below.

关键词： EK SU ISOSCALAR FACTORS AND REPRESENTATION MATRICES

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CLEBSCH-GORDAN COEFFICIENTS,SPHERICAL HARMONICS,AND d FUNCTIONS

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Chinese Physics C 2014年第9期38卷 505-505页

Note： A square-root sign is to be understood over every coefficient, e.g., for -8/15 read - √8√15.

关键词： CLEBSCH-GORDAN COEFFICIENTS SPHERICAL HARMONICS AND d FUNCTIONS

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Chinese Physics C

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Chinese Physics C 2016年第10期 915-915页

作者： C.Patrignani K.Agashe G.Aielli C.Amsler M.Antonelli D.M.Asner H.Baer Sw.Banerjee R.M.Barnett T.Basaglia C.W.Bauer j.j.Beatty V.I.Belousov j.Beringer S.Bethke H.Bichsel O.Biebel E.Blucher G.Brooijmans O.Buchmueller V.Burkert M.A.Bychkov R.N.Cahn M.Carena A.Ceccucci A.Cerri D.Chakraborty M.-C.Chen R.S.Chivukula K.Copic G.Cowan O.Dahl G.D'Ambrosio T.Damour D.de Florian A.de Gouvea T.DeGrand P.de jong G.Dissertori B.A.Dobrescu M.D'Onofrio M.Doser M.Drees H.K.Dreiner D.A.Dwyer P.Eerola S.Eidelman j.Ellis j.Erler V.V.Ezhela W.Fetscher B.D.Fields B.Foster A.Freitas H.Gallagher L.Garren H.-j.Gerber G.Gerbier T.Gershon T.Gherghetta A.A.Godizov M.Goodman C.Grab A.V.Gritsan C.Grojean D.E.Groom M.Grnewald A.Gurtu T.Gutsche H.E.Haber K.Hagiwara C.Hanhart S.Hashimoto Y.Hayato K.G.Hayes A.Hebecker B.Heltsley j.j.Hernandez-Rey K.Hikasa j.Hisano A.Hcker j.Holder A.Holtkamp j.Huston T.Hyodo K.Irwin j.D.jackson K.F.johnson M.Kado M.Karliner U.F.Katz S.R.Klein E.Klempt R.V.Kowalewski F.Krauss M.Kreps B.Krusche Yu.V.Kuyanov Y.Kwon O.Lahav j.Laiho P.Langacker A.Liddle Z.Ligeti C.-j.Lin C.Lippmann T.M.Liss L.Littenberg K.S.Lugovsky S.B.Lugovsky A.Lusiani Y.Makida F.Maltoni T.Mannel A.V.Manohar W.j.Marciano A.D.Martin A.Masoni j.Matthews U.-G.Meiβner D.Milstead R.E.Mitchell P.Molaro K.Mnig F.Moortgat M.j.Mortonson H.Murayama K.Nakamura M.Narain P.Nason S.Navas M.Neubert P.Nevski Y.Nir K.A.Olive S.Pagan Griso j.Parsons j.A.Peacock M.Pennington S.T.Petcov V.A.Petrov A.Piepke A.Pomarol A.Quadt S.Raby j.Rademacker G.Raffelt B.N.Ratcliff P.Richardson A.Ringwald S.Roesler S.Rolli A.Romaniouk L.j.Rosenberg j.L.Rosner G.Rybka R.A.Ryutin C.T.Sachrajda Y.Sakai G.P.salam S.Sarkar F.Sauli O.Schneider K.Scholberg A.j.Schwartz D.Scott V.Sharma S.R.Sharpe T.Shutt M.Silari T.Sjstrand P.Skands T.Skwarnicki j.G.Smith G.F.Smoot S.Spanier H.Spieler C.Spiering A.Stahl S.L.Stone Y.Sumino T.Sumiyoshi M.j.Syphers F.Takahashi M.Tanabashi K.Terashi j.Terning R.S.Thorne L.Tiator M.Titov N.P.Tkachenko N.A.Trnqvist D.Tovey G.Valencia R.Van de Water N.Varelas G Particle Data Group Universita di Bologna and INFN Dip.Scienze per la Qualita della Vita University of Maryland Department of Physics College Park Universit degli Studi di Roma "Tor Vergata" Albert Einstein Center for Fundamental Physics Universitt Bern Stefan Meyer Institute for Subatomic Physics Austrian Academy of Sciences Lab.Nazionali di Frascati dell'INFN Pacific Northwest National Laboratory Department of Physics and Astronomy University of Oklahoma University of Louisville Physics Division Lawrence Berkeley National Laboratory CERN European Organization for Nuclear Research Department of Physics The Ohio State University COMPAS Group Institute for High Energy Physics Max-Planck-Institute of Physics Department of Physics University of Washington Ludwig-Maximilians-Universitt Fakultt fr Physik Enrico Fermi Institute and Department of Physics University of Chicago Department of Physics Columbia University High Energy Physics Group Blackett Laboratory Imperial College jefferson Lab Department of Physics University of Virginia Fermi National Accelerator Laboratory Kavli Institute for Cosmological Physics University of Chicago Department of Physics and Astronomy University of Sussex Department of Physics Northern Illinois University Department of Physics and Astronomy University of California Michigan State University Dept.of Physics and Astronomy Department of Physics Royal Holloway University of London INFN-Sezione di Napoli Complesso Universitario Monte Sant'Angelo Institut des Hautes Etudes Scientifiques International Center for Advanced Studies(ICAS) UNSAM Department of Physics and Astronomy Northwestern University Department of Physics University of Colorado at Boulder Nikhef P.O.Box 41882 1009 DB Amsterdam and University of Amsterdam Institute for Particle Physics ETH Zurich University of Liverpool Department of Physics Oliver Lodge Lab Physikalisches Institut Universitt Bonn Helsinki Institute of Physics University of Helsinki Department of Physics Budker Institute of Nuclear Physics SB RAS Novosib

The Review summarizes much of particle physics and *** data from previous editions,plus 3,062 new measurements from 721 papers,we list,evaluate,and average measured properties of gauge bosons and the recently discovered Higgs boson,leptons,quarks,mesons,and *** summarize searches for hypothetical particles such as supersymmetric particles,heavy bosons,axions,dark photons,*** the particle properties and search limits are listed in Summary *** also give numerous tables,figures,formulae,and reviews of topics such as Higgs Boson Physics,Supersymmetry,Grand Unified Theories,Neutrino Mixing,Dark Energy,Dark Matter,Cosmology,Particle Detectors,Colliders,Probability and *** the 117 reviews are many that are new or heavily revised,including new reviews on Pentaquarks and Inflation.

关键词： CA Organization Chinese Physics C USA DESY CERN

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中国当代土地利用对区域气候影响的数值模拟

中国当代土地利用对区域气候影响的数值模拟

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全国优秀青年气象科技工作者学术研讨会

作者：高学杰张冬峰陈仲新 j.S.Pal F.Giorgi 国家气候中心中国气象局气候研究开放实验室国家气候中心中国气象局气候研究开放实验室中国农业科学院农业资源与农业区划研究所 The Abdus salam International Centre for Theoretical Physics Trieste34100Italy The Abdus salam International Centre for Theoretical Physics Trieste34100Italy

使用RegCM3区域气候模式,嵌套欧洲数值预报中心（ECMWF）ERA40再分析资料,分别进行了中国区域在实际植被和理想植被分布情况下各15年时间长度（1987-2001）的积分试验,以研究我国土地利用状况对气候的影响。通过两个试验结果的对比,研... 详细信息

使用RegCM3区域气候模式,嵌套欧洲数值预报中心（ECMWF）ERA40再分析资料,分别进行了中国区域在实际植被和理想植被分布情况下各15年时间长度（1987-2001）的积分试验,以研究我国土地利用状况对气候的影响。通过两个试验结果的对比,研究了我国土地利用状况对气候的影响。分析主要集中于气温、降水等的变化上,并对结果进行了统计显著性检验。结果表明,当代土地利用/植被覆盖变化加强了中国地区冬、夏季的季风环流,同时改变了地表能量平衡状况,从而对各气候要素产生重要影响。冬季,植被改变引起长江以南降水减少、气温降低,长江以北降水增加。夏季,植被改变显著影响了南方地区的气候,使得这里降水增多,黄淮、江淮气温降低,华南气温上升;同时引起中国北方降水减少,气温在西北部分植被退化地区升高。植被变化对日最低、最高气温的影响更大。总体来说,土地利用引起了年平均降水在南方增加、北方减少,年平均气温在南方显著降低。

关键词：土地利用数值模拟区域气候模式气候变化

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Estimation of Land Surface Temperature from Landsat-8 OLI Thermal Infrared Satellite Data. A Comparative Analysis of Two Cities in Ghana

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Advances in Remote Sensing 2021年第4期10卷 131-149页

作者： Yaw A. Twumasi Edmund C. Merem john B. Namwamba Olipa S. Mwakimi Tomas Ayala-Silva Diana B. Frimpong Zhu H. Ning Abena B. Asare-Ansah jacob B. Annan judith Oppong Priscilla M. Loh Faustina Owusu Valentine jeruto Brilliant M. Petja Ronald Okwemba joyce McClendon-Peralta Caroline O. Akinrinwoye Hermeshia j. Mosby Department of Urban Forestry and Natural Resources Southern University and A&M College Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico USA Water Research Commission (WRC) Private Bag X03 Gezina South Africa

This study employs Landsat-8 Operational Land Imager (OLI) thermal infrared satellite data to compare land surface temperature of two cities in Ghana: Accra and Kumasi. These cities have human populations above 2 million and the corresponding anthropogenic impact on their environments significantly. Images were acquired with minimum cloud cover (ere used. The shapefiles of Accra and Kumasi were used to extract from the full scenes to subset the study area. Thermal band data numbers were converted to Top of Atmospheric Spectral Radiance using radiance rescaling factors. To determine the density of green on a patch of land, normalized difference vegetation index (NDVI) was calculated by using red and near-infrared bands i.e. Band 4 and Band 5. Land surface emissivity (LSE) was also calculated to determine the efficiency of transmitting thermal energy across the surface into the atmosphere. Results of the study show variation of temperatures between different locations in two urban areas. The study found Accra to have experienced higher and lower dry season and wet season temperatures, respectively. The temperature ranges corresponding to the dry and wet seasons were found to be 21.0985

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Time Series Analysis on Selected Rainfall Stations Data in Louisiana Using ARIMA Approach

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Open journal of Statistics 2021年第5期11卷 655-672页

作者： Yaw A. Twumasi jacob B. Annan Edmund C. Merem john B. Namwamba Tomas Ayala-Silva Zhu H. Ning Abena B. Asare-Ansah judith Oppong Diana B. Frimpong Priscilla M. Loh Faustina Owusu Lucinda A. Kangwana Olipa S. Mwakimi Brilliant M. Petja Ronald Okwemba Caroline O. Akinrinwoye Hermeshia j. Mosby joyce McClendon-Peralta Department of Urban Forestry and Natural Resources Southern University and A&M College Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico USA Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania Water Research Commission (WRC) Private Bag X03 Gezina South Africa

Precipitation is very important for both the environment and its inhabitants. Agricultural activities mostly depend on precipitation and its availability. Therefore, the ability to predict future precipitation values at specific stations is key for environmental and agricultural decision making. This research developed Autoregressive Integrated Moving Average (ARIMA) models for selected stations with Integrated component and Autoregressive Moving Average (ARMA) for selected stations without Integrated component at Louisiana State. The ARIMA module is represented as ARIMA(p, d, q)(P,D,Q). The selected lag order for the Autoregressive (AR) component is represented with p and P for seasonal AR component, while the integrated form (number of times data were differenced) is d and D for seasonal differencing, and the Moving Average (MA) lag order is q and Q for seasonal MA component. Data from 1950 to 2020 were employed in this research. Results of the analysis indicated that Baton Rouge (ARIMA (0,1,1) (0,0,2)12), Abbeville (ARMA (0,0,1) (0,0,2)12), Monroe Regional (ARMA (0,0,1) (0,0,0)12), New Orleans Airport (ARMA (1,0,0) (0,0,2)12), Alexandria (ARMA (1,0,1) (0,0,0)12), Logansport (ARIMA (0,1,2) (0,0,0)12), New Orleans Audubon (ARMA (1,0,0) (0,0,0)12), Lake Charles Airport (ARMA (2,0,2) (0,0,0)

关键词： Precipitation ARIMA Models Time Series Lowess Louisiana

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超子及K介子衰变的分枝比和平均寿命间的比例

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物理学报 1959年第2期 63-76页

作者：陈中谟何祚庥冼鼎昌朱洪元中国科学院原子能研究所

本文应用了费曼和盖尔曼所提出的普适费米弱相互作用和同位旋守恒的强相互作用计算了各种超子、K介子衰变的分枝比和平均寿命的比例。在计算时应用了微扰论,并在大动量处将相互作用截断。在应用了查尔斯·瓦纳所给出的相互作用常数和对... 详细信息

本文应用了费曼和盖尔曼所提出的普适费米弱相互作用和同位旋守恒的强相互作用计算了各种超子、K介子衰变的分枝比和平均寿命的比例。在计算时应用了微扰论,并在大动量处将相互作用截断。在应用了查尔斯·瓦纳所给出的相互作用常数和对其余两个常数作了一定的选择之后,得到的分枝比和平均寿命之比大部分和实验结果符合,最坏相差一个因子二。如果选择本文所采用的相互作用常数,可以改进前一篇源文中K~+介子分枝比计算结果和实验的符合程度。本文计算表明V-A普适弱相互作用确实适用于K分子和超子衰变现象,表明在解释这些现象时,必须考虑到“很强”和“较强”两类强相互作用所分别产生的影响。此外,本文还表明Λ和∑应具有相同的相对宇称,K分子和核子、超子之间的四种强相互作用中必须至少有一对是膺标量耦合。

关键词：介子平均寿命强子平均预期寿命寿命(生物) 超子衰变弱相互作用基本相互作用费曼图分枝

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