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1Measurements of dihadron correlations relative to the event plane in Au+Au collisions at√^(S)NN=200 GeV显示文摘Dihadron azimuthal correlations containing a high transverse momentum(pr)trigger particle are sensit-ive to the properties of the nuclear medium created at RHIC through the strong interactions occurring between the traversing parton and the medium,ie.jet-quenching.Previous measurements revealed a strong modification to di-hadron azimuthal correlations in Au+Au collisions with respect to ptp and d+Au collisions.The modification in-creases with the collision centrality,suggesting a path-length or energy density dependence to the je-quenching ef-fect.This paper reports STAR measurements of dihadron azimuthal correlations in mid-central(20%-60%)Au+Au collisions at√^(S)NN=200 GeV as a function of the trigger particle's azimuthal angle relative to the event plane,Ф_(s)=|Ф_(t)-ψ_(Ep)|.The azimuthal correlation is studied as a function of both the trigger and associated particle pr.The subtractions of the combinatorial background and anisotropic flow,assuming Zero Yield At Minimum(ZYAM),are described.The correlation results are first discussed with subtraction of the even harmonic(elliptic and quadrangu-lar)flow backgrounds.The away-side correlation is strongly modifed,and the modification varies withФ_(s),with a double-peak structure for out-of-plane trigger particles.The near-side ridge(long range pseudo-rapidity△_(η)correla-tion)appears to drop with increasingФ_(s)while the jet-like component remains approximately constant.The correla-tion functions are further studied with the subtraction of odd harmonic triangular flow background arising from fluc-tuations.It is found that the triangular flow,while responsible for the majority of the amplitudes,is not sufficient to explain theφs-dependence of the ridge or the away-side double-peak structure.The dropping ridge withФ_(s)could be attributed to aФ_(s)-dependent lliptie anisotropy;however,the physics mechanism of the ridge remains an open ques-tion.Even with aФ_(s)-dependent elliptic flow,the away-side correlation structure is robust.These results,with extens-ive systematic studies of the dihadron correlations as a function ofФ_(s),trigger and associated particle pT,and the pseudo-rapidity range△_(η),should provide stringent inputs to help understand the underlying physics mechanisms of jet-medium interactions in high energy nuclear collisions.H.Agakishiev M.M.Aggarwal Z.Ahammed A.V.Alakhverdyants I.Alekseev J.Alford B.D.Anderson C.D.Anson D.Arkhipkin G.S.Averichev J.Balewski D.R.Beavis N.K.Behera R.Bellwied M.J.Betancourt R.R.Betts A.Bhasin A.K.Bhat H.Bichsel J.Bieleik J.Bielcikova B.Biritz L.C.Bland W.Borowski J.Bouchet E.Braidot A.V.Brandin A.Bridgeman S.G.Brovko E.Bruna S.Bueltmann I.Bunzarov T.P.Burton X.Z.Cai H.Caines M.Calderon de la Barca Sanchez D.Cebra R.Cendejas M.C.Cervantes Z.Chajecki P.Chaloupka S.Chattopadhyay H.F.Chen J.H.Chen J.Y.Chen L.Chen J.Cheng M.Cherney A.Chikanian K.E.Choi W.Christie P.Chung M.J.M.Codrington R.Corliss J.G.Cramer H.J.Crawford S.Dash A.Davila Leyva L.C.De Silvat R.R.Debbe T.G.Dedovich A.A.Derevschikov R.Derradi de Souza L.Didenko P.Djawotho S.M.Dogra X.Dong J.L.Drachenberg J.E.Draper J.C.Dunlop L.G Efimov M.Elnim J.Engelage G Eppley M.Estienne L.Eun O.Evdokimov R.Fatemi J.Fedorisin A.Feng R.G.Fersch P.Filip E.Finch V.Fine Y.Fisyak C.A.Gagliardi D.R.Gangadharan A.Geromitsos F.Geurts P.Ghosh Y.N.Gorbunov A.Gordon O.Grebenyuk D.Grosnick S.M.Guertin A.Gupta W.Guryn B.Haag O.Hajkova A.Hamed L-X.Han J.W.Harris J.P.Hays-Wehle M.Heinz S.Heppelmann A.Hirsch E.Hjort G.W.Hoffmann D.J.Hofiman B.Huang H.Z.Huang T.J.Humanic L.Huo G.Igo P.Jacobs W.W.Jacobs C.Jena F.Jin J.Joseph E.G.Judd S.Kabana K.Kang J.Kapitan K.Kauder H.Ke D.Keane A.Kechechyan D.Kettler D.P.Kikola J.Kiryluk A.Kisiel V.Kizka A.G.Knospe D.D.Koetke T.Kollegger J.Konzer I.Koralt L.Koroleva W.Korsch L.Kotchenda V.Kouchpil P.Kravtsov K.Krueger M.Krus L.Kumar P.Kurnadi M.A.C.Lamont J.M.Landgraf S.LaPointe J.Lauret A.Lebedev R.Lednicky J.H.Lee W.Leight M.J.LeVine C.Lil L.Li N.Li W.Li X.Li X.Li Y.Li Z.M.Li M.A.Lisa F.Liu H.Liu J.Liu T.Ljubicic W.J.Llope R.S.Longacre W.A.Love Y.Lu E.V.Lukashov X.Luo G.L.Ma Y.G.Mai D.P.Mahapatra R.Majka O.I.Mall L.K.Mangotra R.Manweiler S.Margetis C.Markert H.Masui H.S.Matis Yu.A.Matulenko D.MeDonald T.S.McShane A.Meschanin R.Milner N.G.Minaev S.Mioduszewski A.Mischke M.K.Mitrovski B.Mohanty M.M.Mondal B.Morozov D.A.Morozov M.G.Munhoz M.Naglis B.K.Nandi T.K.Nayak P.K.Netrakanti L.V.Nogach S.B.Nurushev G.Odyniec A.Ogawa Oh Ohlson V.Okorokov E.W.Oldag D.Olsont M.Pachr B.S.Page S.K.Pal Y.Pandit Y.Panebratsev T.Pawlak H.Pei T.Peitzmann C.Perkins W.Peryt S.C.Phatak P.Pile M.Planinic M.A.Ploskon J.Pluta D.Plyku N.Poljak A.M.Poskanzer B.V.K.S.Potukuchi C.B.Powell D.Prindle N.K.Pruthi A.M.Poskanzer B.V.K.S.Potukuchi B.Powell D.Prindle N.K.Pruthi P.R.Pujahar J.Putschke H.Qiu R.Raniwala S.Raniwala R.L.Ray R.Redwine R.Reed H.G.Riter J.B.Roberts O.V.Rogachevskiy J.L.Romero A.Rose L.Ruan J.Rusnak N.R.Sahoo S.Sakai I.Sakrejda T.Sakuma S.Salur J.Sandweiss E.Sangaline A.Sarkar J.Schambach R.P.Scharenberg A.M.Schmah N.Schmitz T.R.Schuster J.Seele J.Seger I.Selyuzhenkov P.Seyboth E.Shahaliev M.Shao M.Sharma S.S.Shi Q.Y.Shou E.P.Sichtermann F.Simon R.N.Singaraju M.J.Skoby N.Smirnov H.M.Spinka B.Srivastava T.D.S.Stanislaus D.Staszak S.G.Steadman J.R.Stevens R.Stock M.Strikhanov B.Stringfellow A.A.P.Suaide M.C.Suarez N.L.Subba M.Sumbera X.M.Sun Y.Sun Z.Sun B.Surrow D.N.Svirida T.J.M.Symons A.Szanto de Toledo J.Takahashi A.H.Tang Z.Tang L.H.Tarini T.Tarnowsky D.Thein J.H.Thomas J.Tian A.R.Timmins D.Tlusty M.Tokarev V.N.Tram S.Trentalange R.E.Tribble Tribedy O.D.Tsai T.Ullrich D.G.Underwood G.Van Buren G.van Nieuwenhuizen J.A.Vanfossen R.Varma G.M.S.Vasconcelos A.N.Vasiliev F.Videbaek Y.P.Viyogi S.Vokal M.Wadat M.Walker F.Wang G.Wang H.Wang J.S.Wang Q.Wang X.L.Wang Y.Wang G.Webb J.C.Webb G.D.Westfall C.Whitten H.Wieman S.W.Wissink R.Witt W.Witzke Y.F.Wu Xiao W.Xie H.Xu N.Xu Q.H.Xu W.Xu Y.Xu Z.Xu L.Xue Y.Yang P.Yepes K.Yip I-K.Yoo M.Zawisza H.Zbroszczyk W.Zhan J.B.Zhang S.Zhang W.M.Zhang X.P.Zhang Y.Zhang Z.P.Zhang J.Zhao C.Zhong W.Zhou X.Zhu Y.H.Zhu R.Zoulkarneev Y.Zoulkarneeva 2021Chinese Physics C2021,45,4:351
2煤田火区遥感四层空间探测方法显示文摘煤层自燃是一个动态变化的过程,随着自燃向不同方向扩大或缩小,其热场随着燃烧过程而发生空间变化。本文在研究煤田煤层自燃现象及其火区灾害特征的基础上,基于宁夏汝箕沟地区的四层空间遥感探测试验,总结了不同平台遥感方法的探测效果,提出了利用遥感方法实现地下煤田火区监测的有效方法。张建民 管海晏 A.Rose ma 2004国土资源遥感2004,16,4:12
3Currency Crashes in Emerging Markets:An Empirical Treatment显示文摘Frankel J A.Rose 0,,:1
4Natriuretic peptide C receptor signalling in the heart and vasculature显示文摘Robert A.Rose Wayne R.Giles 2008The Journal of Physiology2008,,2:1
5Currency Crashes in Emerging Markets:An Empirical Treatment显示文摘Frankel J A.Rose 0,,3:1
6Income Distribution Impacts of Climate Change Mitigation Policy in the Susquehanna River Basin Economy显示文摘Oladosu.G A.ROSE 0,,03:1
7Stressing over the Complexities of Multiple Stressors in Marine and Estuarine Systems显示文摘Aquatic ecosystems are increasingly threatened by multiple human-induced stressors associated with climate and anthropogenic changes,including warming,nutrient pollution,harmful algal blooms,hypoxia,and changes in CO_(2) and pH.These stressors may affect systems additively and synergistically but may also counteract each other.The resultant ecosystem changes occur rapidly,affecting both biotic and abiotic components and their interactions.Moreover,the complexity of interactions increases as one ascends the food web due to differing sensitivities and exposures among life stages and associated species interactions,such as competition and predation.There is also a need to further understand nontraditional food web interactions,such as mixotrophy,which is the ability to combine photosynthesis and feeding by a single organism.The complexity of these interactions and nontraditional food webs presents challenges to ecosystem modeling and management.Developing ecological models to understand multistressor effects is further challenged by the lack of sufficient data on the effects of interactive stressors across different trophic levels and the substantial variability in climate changes on regional scales.To obtain data on a broad suite of interactions,a nested set of experiments can be employed.Modular,coupled,multitrophic level models will provide the flexibility to explore the additive,amplified,propagated,antagonistic,and/or reduced effects that can emerge from the interactions of multiple stressors.Here,the stressors associated with eutrophication and climate change are reviewed,and then example systems from around the world are used to illustrate their complexity and how model scenarios can be used to examine potential future changes.Patricia M.Glibert Wei-Jun Cai Emily R.Hall Ming Li Kevan L.Main Kenneth A.Rose Jeremy M.Testa Nayani K.Vidyarathna 2022Ocean-Land-Atmosphere Research2022,1,1:0
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