利用ATLAS探测器在[公式：见正文]能量的[公式：见正文]碰撞中区分轻夸克喷注和胶子喷注。

Light-quark and gluon jet discrimination in [Formula: see text] collisions at [Formula: see text] with the ATLAS detector.

作者信息

Aad G, Abbott B, Abdallah J, Abdel Khalek S, Abdinov O, Aben R, Abi B, Abolins M, AbouZeid O S, Abramowicz H, Abreu H, Abreu R, Abulaiti Y, Acharya B S, Adamczyk L, Adams D L, Adelman J, Adomeit S, Adye T, Agatonovic-Jovin T, Aguilar-Saavedra J A, Agustoni M, Ahlen S P, Ahmad A, Ahmadov F, Aielli G, Åkesson T P A, Akimoto G, Akimov A V, Albert J, Albrand S, Alconada Verzini M J, Aleksa M, Aleksandrov I N, Alexa C, Alexander G, Alexandre G, Alexopoulos T, Alhroob M, Alimonti G, Alio L, Alison J, Allbrooke B M M, Allison L J, Allport P P, Allwood-Spiers S E, Almond J, Aloisio A, Alonso A, Alonso F, Alpigiani C, Altheimer A, Alvarez Gonzalez B, Alviggi M G, Amako K, Amaral Coutinho Y, Amelung C, Amidei D, Amor Dos Santos S P, Amorim A, Amoroso S, Amram N, Amundsen G, Anastopoulos C, Ancu L S, Andari N, Andeen T, Anders C F, Anders G, Anderson K J, Andreazza A, Andrei V, Anduaga X S, Angelidakis S, Angelozzi I, Anger P, Angerami A, Anghinolfi F, Anisenkov A V, Anjos N, Annovi A, Antonaki A, Antonelli M, Antonov A, Antos J, Anulli F, Aoki M, Aperio Bella L, Apolle R, Arabidze G, Aracena I, Arai Y, Araque J P, Arce A T H, Arguin J-F, Argyropoulos S, Arik M, Armbruster A J, Arnaez O, Arnal V, Arnold H, Arslan O, Artamonov A, Artoni G, Asai S, Asbah N, Ashkenazi A, Ask S, Åsman B, Asquith L, Assamagan K, Astalos R, Atkinson M, Atlay N B, Auerbach B, Augsten K, Aurousseau M, Avolio G, Azuelos G, Azuma Y, Baak M A, Bacci C, Bachacou H, Bachas K, Backes M, Backhaus M, Backus Mayes J, Badescu E, Bagiacchi P, Bagnaia P, Bai Y, Bain T, Baines J T, Baker O K, Baker S, Balek P, Balli F, Banas E, Banerjee Sw, Banfi D, Bangert A, Bannoura A A E, Bansal V, Bansil H S, Barak L, Baranov S P, Barberio E L, Barberis D, Barbero M, Barillari T, Barisonzi M, Barklow T, Barlow N, Barnett B M, Barnett R M, Barnovska Z, Baroncelli A, Barone G, Barr A J, Barreiro F, Barreiro Guimarães da Costa J, Bartoldus R, Barton A E, Bartos P, Bartsch V, Bassalat A, Basye A, Bates R L, Batkova L, Batley J R, Battistin M, Bauer F, Bawa H S, Beau T, Beauchemin P H, Beccherle R, Bechtle P, Beck H P, Becker K, Becker S, Beckingham M, Becot C, Beddall A J, Beddall A, Bedikian S, Bednyakov V A, Bee C P, Beemster L J, Beermann T A, Begel M, Behr K, Belanger-Champagne C, Bell P J, Bell W H, Bella G, Bellagamba L, Bellerive A, Bellomo M, Belloni A, Belotskiy K, Beltramello O, Benary O, Benchekroun D, Bendtz K, Benekos N, Benhammou Y, Benhar Noccioli E, Benitez Garcia J A, Benjamin D P, Bensinger J R, Benslama K, Bentvelsen S, Berge D, Bergeaas Kuutmann E, Berger N, Berghaus F, Berglund E, Beringer J, Bernard C, Bernat P, Bernius C, Bernlochner F U, Berry T, Berta P, Bertella C, Bertolucci F, Besana M I, Besjes G J, Bessidskaia O, Besson N, Betancourt C, Bethke S, Bhimji W, Bianchi R M, Bianchini L, Bianco M, Biebel O, Bieniek S P, Bierwagen K, Biesiada J, Biglietti M, Bilbao De Mendizabal J, Bilokon H, Bindi M, Binet S, Bingul A, Bini C, Black C W, Black J E, Black K M, Blackburn D, Blair R E, 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机构信息

CPPM, Aix-Marseille Université and CNRS/IN2P3, Marseille, France.

Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK USA.

出版信息

Eur Phys J C Part Fields. 2014;74(8):3023. doi: 10.1140/epjc/s10052-014-3023-z. Epub 2014 Aug 21.

A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb[Formula: see text] of proton-proton collision data at [Formula: see text] [Formula: see text] collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of [Formula: see text] 10-20 %. In data, light-quark jets can be tagged with an efficiency of [Formula: see text] while achieving a gluon-jet mis-tag rate of [Formula: see text] in a [Formula: see text] range between [Formula: see text] and [Formula: see text] for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6 Monte Carlo simulation, where gluon-jet mis-tag rates of 10 % can be reached for a 50 % selection efficiency of light-quark jets using the same jet properties.

基于似然性的鉴别器用于识别夸克和胶子引发的喷注，它是利用大型强子对撞机（LHC）上ATLAS探测器收集的质心能量为13 TeV的4.7 fb⁻¹质子-质子碰撞数据构建并验证的。具有丰富夸克或胶子含量的数据样本用于构建和验证喷注特性模板，这些模板是基于似然性鉴别器的输入。喷注标记器的鉴别能力在数据和蒙特卡罗样本中均在±10 - 20%的系统不确定性范围内得以确立。在数据中，对于跟踪器接受范围内的喷注，在20 GeV至100 GeV的pT范围内，轻夸克喷注可以以70%的效率被标记，同时胶子喷注的错误标记率为5%。数据中发现的胶子喷注的排除率明显低于使用Pythia 6蒙特卡罗模拟所能达到的水平，在相同喷注特性下，对于50%的轻夸克喷注选择效率，Pythia 6蒙特卡罗模拟可以达到10%的胶子喷注错误标记率。