Measurement of the [Formula: see text] production cross section in the tau + jets channel using the ATLAS detector

Comparative Lysine Acetylome Analysis of Y. pestis YfiQ/CobB Mutants Reveals that Acetylation of SlyA Lys73 Significantly Promotes Biofilm Formation of Y. pestis

Increasing evidence shows that protein lysine acetylation is involved in almost every aspect of cellular physiology in bacteria. Yersinia pestis is a flea-borne pathogen responsible for millions of human deaths in three global pandemics. However, the functional role of lysine acetylation in this pathogen remains unclear. Here, we found more acetylated proteins and a higher degree of acetylation in Y. pestis grown under mammalian host (Mh) conditions than under flea vector (Fv) conditions, suggesting that protein acetylation could significantly change during fleabite transmission. Comparative acetylome analysis of mutants of YfiQ and CobB, the major acetyltransferase and deacetylase of Y. pestis, respectively, identified 23 YfiQ-dependent and 315 CobB-dependent acetylated proteins. Further results demonstrated that acetylation of Lys73 of the SlyA protein, a MarR-family transcriptional regulator, inhibits its binding to the promoter of target genes, including hmsT that encodes diguanylate cyclase responsible for the synthesis of c-di-GMP, and significantly enhances biofilm formation of Y. pestis. Our study presents the first extensive acetylome data of Y. pestis and a critical resource for the functional study of lysine acetylation in this pathogen. IMPORTANCE Yersinia pestis is the etiological agent of plague, historically responsible for three global pandemics. The 2017 plague epidemic in Madagascar was a reminder that Y. pestis remains a real threat in many parts of the world. Plague is a zoonotic disease that primarily infects rodents via fleabite, and transmission of Y. pestis from infected fleas to mammals requires rapid adaptive responses to adverse host environments to establish infection. Our study provides the first global profiling of lysine acetylation derived from mass spectrometry analysis in Y. pestis. Our data set can serve as a critical resource for the functional study of lysine acetylation in Y. pestis and provides new molecular insight into the physiological role of lysine acetylation in proteins. More importantly, we found that acetylation of Lys73 of SlyA significantly promotes biofilm formation of Y. pestis, indicating that bacteria can use lysine acetylation to fine-tune the expression of genes to improve adaptation.

Pharmacological Modulators of Tau Aggregation and Spreading

Tauopathies are neurodegenerative disorders characterized by the deposition of aggregates composed of abnormal tau protein in the brain. Additionally, misfolded forms of tau can propagate from cell to cell and throughout the brain. This process is thought to lead to the templated misfolding of the native forms of tau, and thereby, to the formation of newer toxic aggregates, thereby propagating the disease. Therefore, modulation of the processes that lead to tau aggregation and spreading is of utmost importance in the fight against tauopathies. In recent years, several molecules have been developed for the modulation of tau aggregation and spreading. In this review, we discuss the processes of tau aggregation and spreading and highlight selected chemicals developed for the modulation of these processes, their usefulness, and putative mechanisms of action. Ultimately, a stronger understanding of the molecular mechanisms involved, and the properties of the substances developed to modulate them, will lead to the development of safer and better strategies for the treatment of tauopathies.

Measurement of the [Formula: see text] production cross section using events in the [Formula: see text] final state in pp collisions at [Formula: see text]

The cross section of top quark-antiquark pair production in proton-proton collisions at [Formula: see text] is measured by the CMS experiment at the LHC, using data corresponding to an integrated luminosity of 2.2[Formula: see text]. The measurement is performed by analyzing events in which the final state includes one electron, one muon, and two or more jets, at least one of which is identified as originating from hadronization of a b quark. The measured cross section is [Formula: see text], in agreement with the expectation from the standard model.

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Measurements of the [Formula: see text] production cross section in lepton+jets final states in pp collisions at 8 [Formula: see text] and ratio of 8 to 7 [Formula: see text] cross sections

A measurement of the top quark pair production ([Formula: see text]) cross section in proton-proton collisions at the centre-of-mass energy of 8[Formula: see text] is presented using data collected with the CMS detector at the LHC, corresponding to an integrated luminosity of 19.6[Formula: see text]. This analysis is performed in the [Formula: see text] decay channels with one isolated, high transverse momentum electron or muon and at least four jets, at least one of which is required to be identified as originating from hadronization of a b quark. The calibration of the jet energy scale and the efficiency of b jet identification are determined from data. The measured [Formula: see text] cross section is [Formula: see text]. This measurement is compared with an analysis of 7[Formula: see text] data, corresponding to an integrated luminosity of 5.0[Formula: see text], to determine the ratio of 8[Formula: see text] to 7[Formula: see text] cross sections, which is found to be [Formula: see text]. The measurements are in agreement with QCD predictions up to next-to-next-to-leading order.

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Bradmiller-Feld J, Campagnari C, Dishaw A, Dutta V, Flowers K, Franco Sevilla M, Geffert P, George C, Golf F, Gouskos L, Gran J, Incandela J, Justus C, Mccoll N, Mullin SD, Mullin SD, Richman J, Stuart D, Suarez I, To W, West C, Yoo J, Anderson D, Apresyan A, Bornheim A, Bunn J, Chen Y, Duarte J, Mott A, Newman HB, Pena C, Pierini M, Spiropulu M, Vlimant JR, Xie S, Zhu RY, Andrews MB, Azzolini V, Calamba A, Carlson B, Ferguson T, Paulini M, Russ J, Sun M, Vogel H, Vorobiev I, Cumalat JP, Ford WT, Gaz A, Jensen F, Johnson A, Krohn M, Mulholland T, Nauenberg U, Stenson K, Wagner SR, Alexander J, Chatterjee A, Chaves J, Chu J, Dittmer S, Eggert N, Mirman N, Nicolas Kaufman G, Patterson JR, Rinkevicius A, Ryd A, Skinnari L, Soffi L, Sun W, Tan SM, Teo WD, Thom J, Thompson J, Tucker J, Weng Y, Wittich P, Abdullin S, Albrow M, Anderson J, Apollinari G, Banerjee S, Bauerdick LAT, Beretvas A, Berryhill J, Bhat PC, Bolla G, Burkett K, Butler JN, Cheung HWK, Chlebana F, Cihangir S, Elvira VD, Fisk I, Freeman J, Gottschalk E, Gray L, Green D, Grünendahl S, Gutsche O, Hanlon J, Hare D, Harris RM, Hasegawa S, Hirschauer J, Hu Z, Jindariani S, Johnson M, Joshi U, Jung AW, Klima B, Kreis B, Kwan S, Lammel S, Linacre J, Lincoln D, Lipton R, Liu T, Lopes De Sá R, Lykken J, Maeshima K, Marraffino JM, Martinez Outschoorn VI, Maruyama S, Mason D, McBride P, Merkel P, Mishra K, Mrenna S, Nahn S, Newman-Holmes C, O’Dell V, Pedro K, Prokofyev O, Rakness G, Sexton-Kennedy E, Soha A, Spalding WJ, Spiegel L, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Vernieri C, Verzocchi M, Vidal R, Weber HA, Whitbeck A, Yang F, Acosta D, Avery P, Bortignon P, Bourilkov D, Carnes A, Carver M, Curry D, Das S, Di Giovanni GP, Field RD, Furic IK, Hugon J, Konigsberg J, Korytov A, Low JF, Ma P, Matchev K, Mei H, Milenovic P, Mitselmakher G, Rank D, Rossin R, Shchutska L, Snowball M, Sperka D, Terentyev N, Thomas L, Wang J, Wang S, Yelton J, Hewamanage S, Linn S, Markowitz P, Martinez G, Rodriguez JL, Adams JR, Ackert A, Adams T, Askew A, Bochenek J, Diamond B, Haas J, Hagopian S, Hagopian V, Johnson KF, Khatiwada A, Prosper H, Weinberg M, Baarmand MM, Bhopatkar V, Colafranceschi S, Hohlmann M, Kalakhety H, Noonan D, Roy T, Yumiceva F, Adams MR, Apanasevich L, Berry D, Betts RR, Bucinskaite I, Cavanaugh R, Evdokimov O, Gauthier L, Gerber CE, Hofman DJ, Kurt P, O’Brien C, Sandoval Gonzalez LD, Silkworth C, Turner P, Varelas N, Wu Z, Zakaria M, Bilki B, Clarida W, Dilsiz K, Durgut S, Gandrajula RP, Haytmyradov M, Khristenko V, Merlo JP, Mermerkaya H, Mestvirishvili A, Moeller A, Nachtman J, Ogul H, Onel Y, Ozok F, Penzo A, Snyder C, Tiras E, Wetzel J, Yi K, Anderson I, Anderson I, Barnett BA, Blumenfeld B, Eminizer N, Fehling D, Feng L, Gritsan AV, Maksimovic P, Martin C, Osherson M, Roskes J, Sady A, Sarica U, Swartz M, Xiao M, Xin Y, You C, Xiao M, Baringer P, Bean A, Benelli G, Bruner C, Kenny RP, Majumder D, Majumder D, Malek M, Murray M, Sanders S, Stringer R, Wang Q, Ivanov A, Kaadze K, Khalil S, Makouski M, Maravin Y, Mohammadi A, Saini LK, Skhirtladze N, Toda S, Lange D, Rebassoo F, Wright D, Anelli C, Baden A, Baron O, Belloni A, Calvert B, Eno SC, Ferraioli C, Gomez JA, Hadley NJ, Jabeen S, Jabeen S, Kellogg RG, Kolberg T, Kunkle J, Lu Y, Mignerey AC, Shin YH, Skuja A, Tonjes MB, Tonwar SC, Apyan A, Barbieri R, Baty A, Bierwagen K, Brandt S, Bierwagen K, Busza W, Cali IA, Demiragli Z, Di Matteo L, Gomez Ceballos G, Goncharov M, Gulhan D, Iiyama Y, Innocenti GM, Klute M, Kovalskyi D, Lai YS, Lee YJ, Levin A, Luckey PD, Marini AC, Mcginn C, Mironov C, Niu X, Paus C, Ralph D, Roland C, Roland G, Salfeld-Nebgen J, Stephans GSF, Sumorok K, Varma M, Velicanu D, Veverka J, Wang J, Wang TW, Wyslouch B, Yang M, Zhukova V, Dahmes B, Evans A, Finkel A, Gude A, Hansen P, Kalafut S, Kao SC, Klapoetke K, Kubota Y, Lesko Z, Mans J, Nourbakhsh S, Ruckstuhl N, Rusack R, Tambe N, Turkewitz J, Acosta JG, Oliveros S, Avdeeva E, Bloom K, Bose S, Claes DR, Dominguez A, Fangmeier C, Gonzalez Suarez R, Kamalieddin R, Keller J, Knowlton D, Kravchenko I, Lazo-Flores J, Meier F, Monroy J, Ratnikov F, Siado JE, Snow GR, Alyari M, Dolen J, George J, Godshalk A, Harrington C, Iashvili I, Kaisen J, Kharchilava A, Kumar A, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Baumgartel D, Chasco M, Hortiangtham A, Massironi A, Morse DM, Nash D, Orimoto T, Teixeira De Lima R, Trocino D, Wang RJ, Wood D, Zhang J, Hahn KA, Kubik A, Mucia N, Odell N, Pollack B, Pozdnyakov A, Schmitt M, Stoynev S, Sung K, Trovato M, Velasco M, Brinkerhoff A, Dev N, Hildreth M, Jessop C, Karmgard DJ, Kellams N, Lannon K, Lynch S, Marinelli N, Meng F, Mueller C, Musienko Y, Pearson T, Planer M, Reinsvold A, Ruchti R, Smith G, Taroni S, Valls N, Wayne M, Wolf M, Woodard A, Antonelli L, Brinson J, Bylsma B, Durkin LS, Flowers S, Hart A, Hill C, Hughes R, Ji W, Kotov K, Ling TY, Liu B, Luo W, Puigh D, Rodenburg M, Winer BL, Wulsin HW, Driga O, Elmer P, Hardenbrook J, Hebda P, Koay SA, Lujan P, Marlow D, Medvedeva T, Mooney M, Olsen J, Palmer C, Piroué P, Quan X, Saka H, Stickland D, Tully C, Werner JS, Zuranski A, Malik S, Barnes VE, Benedetti D, Bortoletto D, Gutay L, Jha MK, Jones M, Jung K, Miller DH, Neumeister N, Primavera F, Radburn-Smith BC, Shi X, Shipsey I, Silvers D, Sun J, Svyatkovskiy A, Wang F, Xie W, Xu L, Parashar N, Stupak J, Adair A, Akgun B, Chen Z, Ecklund KM, Geurts FJM, Guilbaud M, Li W, Michlin B, Northup M, Padley BP, Redjimi R, Roberts J, Rorie J, Tu Z, Zabel J, Betchart B, Bodek A, de Barbaro P, Demina R, Eshaq Y, Ferbel T, Galanti M, Galanti M, Garcia-Bellido A, Han J, Harel A, Hindrichs O, Hindrichs O, Khukhunaishvili A, Petrillo G, Tan P, Verzetti M, Arora S, Barker A, Chou JP, Contreras-Campana C, Contreras-Campana E, Duggan D, Ferencek D, Gershtein Y, Gray R, Halkiadakis E, Hidas D, Hughes E, Kaplan S, Kunnawalkam Elayavalli R, Lath A, Nash K, Panwalkar S, Park M, Salur S, Schnetzer S, Sheffield D, Somalwar S, Stone R, Thomas S, Thomassen P, Walker M, Foerster M, Riley G, Rose K, Spanier S, York A, Bouhali O, Castaneda Hernandez A, Dalchenko M, De Mattia M, Delgado A, Dildick S, Dildick S, Eusebi R, Gilmore J, Kamon T, Krutelyov V, Krutelyov V, Mueller R, Osipenkov I, Pakhotin Y, Patel R, Patel R, Perloff A, Rose A, Safonov A, Tatarinov A, Ulmer KA, Akchurin N, Cowden C, Damgov J, Dragoiu C, Dudero PR, Faulkner J, Kunori S, Lamichhane K, Lee SW, Libeiro T, Undleeb S, Volobouev I, Appelt E, Delannoy AG, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Mao Y, Melo A, Ni H, Sheldon P, Snook B, Tuo S, Velkovska J, Xu Q, Arenton MW, Cox B, Francis B, Goodell J, Hirosky R, Ledovskoy A, Li H, Lin C, Neu C, Sun X, Wang Y, Wolfe E, Wood J, Xia F, Clarke C, Harr R, Karchin PE, Kottachchi Kankanamge Don C, Lamichhane P, Sturdy J, Belknap DA, Carlsmith D, Cepeda M, Dasu S, Dodd L, Duric S, Friis E, Gomber B, Grothe M, Hall-Wilton R, Herndon M, Hervé A, Klabbers P, Lanaro A, Levine A, Long K, Loveless R, Mohapatra A, Ojalvo I, Perry T, Pierro GA, Polese G, Ruggles T, Sarangi T, Savin A, Sharma A, Smith N, Smith WH, Taylor D, Woods N, Collaboration [ACMS. Measurement of the [Formula: see text] production cross section in the all-jets final state in pp collisions at [Formula: see text][Formula: see text]

The cross section for [Formula: see text] production in the all-jets final state is measured in pp collisions at a centre-of-mass energy of 8 [Formula: see text] at the LHC with the CMS detector, in data corresponding to an integrated luminosity of 18.4 [Formula: see text]. The inclusive cross section is found to be [Formula: see text] [Formula: see text]. The normalized differential cross sections are measured as a function of the top quark transverse momenta, [Formula: see text], and compared to predictions from quantum chromodynamics. The results are reported at detector, parton, and particle levels. In all cases, the measured top quark [Formula: see text] spectra are significantly softer than theoretical predictions.

Denis RD, Staerz S, Stahlman J, Stamen R, Stamm S, Stanecka E, Stanescu C, Stanescu-Bellu M, Stanitzki MM, Stapnes S, Starchenko EA, Stark J, Staroba P, Starovoitov P, Staszewski R, Stavina P, Steinberg P, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stewart GA, Stillings JA, Stockton MC, Stoebe M, Stoicea G, Stolte P, Stonjek S, Stradling AR, Straessner A, Stramaglia ME, Strandberg J, Strandberg S, Strandlie A, Strauss E, Strauss M, Strizenec P, Ströhmer R, Strom DM, Stroynowski R, Strubig A, Stucci SA, Stugu B, Styles NA, Su D, Su J, Subramaniam R, Succurro A, Sugaya Y, Suhr C, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun S, Sun X, Sundermann JE, Suruliz K, Susinno G, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Sykora I, Sykora T, Ta D, Taccini C, Tackmann K, Taenzer J, Taffard A, Tafirout R, Taiblum N, Takai H, Takashima R, Takeda H, Takeshita T, Takubo Y, Talby M, Talyshev AA, Tam JYC, Tan KG, Tanaka J, Tanaka R, Tanaka S, Tannenwald BB, Tannoury N, Tapprogge S, Tarem S, Tarrade F, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor FE, Taylor GN, Taylor W, Teischinger FA, Teixeira Dias Castanheira M, Teixeira-Dias P, Temming KK, Temple D, Ten Kate H, Teng PK, Teoh JJ, Tepel F, Terada S, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Theveneaux-Pelzer T, Thomas JP, Thomas-Wilsker J, Thompson EN, Thompson PD, Thompson RJ, Thompson AS, Thomsen LA, Thomson E, Thomson M, Thun RP, Tibbetts MJ, Ticse Torres RE, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tiouchichine E, Tipton P, Tisserant S, Todome K, Todorov T, Todorova-Nova S, Tojo J, Tokár S, Tokushuku K, Tollefson K, Tolley E, Tomlinson L, Tomoto M, Tompkins L, Toms K, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, Trefzger T, Tremblet L, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Trischuk W, Trocmé B, Troncon C, Trottier-McDonald M, Trovatelli M, True P, Truong L, Trzebinski M, Trzupek A, Tsarouchas C, Tseng JCL, Tsiareshka PV, Tsionou D, Tsipolitis G, Tsirintanis N, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tudorache A, Tudorache V, Tuna AN, Tupputi SA, Turchikhin S, Turecek D, Turra R, Turvey AJ, Tuts PM, Tykhonov A, Tylmad M, Tyndel M, Ueda I, Ueno R, Ughetto M, Ugland M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Unverdorben C, Urban J, Urquijo P, Urrejola P, Usai G, Usanova A, Vacavant L, Vacek V, Vachon B, Valderanis C, Valencic N, Valentinetti S, Valero A, Valery L, Valkar S, Valladolid Gallego E, Vallecorsa S, Valls Ferrer JA, Van Den Wollenberg W, Van Der Deijl PC, van der Geer R, van der Graaf H, van Eldik N, van Gemmeren P, Van Nieuwkoop J, van Vulpen I, van Woerden MC, Vanadia M, Vandelli W, Vanguri R, Vaniachine A, Vannucci F, Vardanyan G, Vari R, Varnes EW, Varol T, Varouchas D, Vartapetian A, Varvell KE, Vazeille F, Vazquez Schroeder T, Veatch J, Veloce LM, Veloso F, Velz T, Veneziano S, Ventura A, Ventura D, Venturi M, Venturi N, Venturini A, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vest A, Vetterli MC, Viazlo O, Vichou I, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Viel S, Vigne R, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinogradov VB, Vivarelli I, Vives Vaque F, Vlachos S, Vladoiu D, Vlasak M, Vogel M, Vokac P, Volpi G, Volpi M, von der Schmitt H, von Radziewski H, von Toerne E, Vorobel V, Vorobev K, Vos M, Voss R, Vossebeld JH, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vuillermet R, Vukotic I, Vykydal Z, Wagner P, Wagner W, Wahlberg H, Wahrmund S, Wakabayashi J, Walder J, Walker R, Walkowiak W, Wang C, Wang F, Wang H, Wang H, Wang J, Wang J, Wang K, Wang R, Wang SM, Wang T, Wang T, Wang X, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Washbrook A, Wasicki C, Watkins PM, Watson AT, Watson IJ, Watson MF, Watts G, Watts S, Waugh BM, Webb S, Weber MS, Weber SW, Webster JS, Weidberg AR, Weinert B, Weingarten J, Weiser C, Weits H, Wells PS, Wenaus T, Wengler T, Wenig S, Wermes N, Werner M, Werner P, Wessels M, Wetter J, Whalen K, Wharton AM, White A, White MJ, White R, White S, Whiteson D, Wickens FJ, Wiedenmann W, Wielers M, Wienemann P, Wiglesworth C, Wiik-Fuchs LAM, Wildauer A, Wilkens HG, Williams HH, Williams S, Willis C, Willocq S, Wilson A, Wilson JA, Wingerter-Seez I, Winklmeier F, Winter BT, Wittgen M, Wittkowski J, Wollstadt SJ, Wolter MW, Wolters H, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wu M, Wu M, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xu D, Xu L, Yabsley B, Yacoob S, Yakabe R, Yamada M, Yamaguchi D, Yamaguchi Y, Yamamoto A, Yamamoto S, Yamanaka T, Yamauchi K, Yamazaki Y, Yan Z, Yang H, Yang H, Yang Y, Yao WM, Yasu Y, Yatsenko E, Yau Wong KH, Ye J, Ye S, Yeletskikh I, Yen AL, Yildirim E, Yorita K, Yoshida R, Yoshihara K, Young C, Young CJS, Youssef S, Yu DR, Yu J, Yu JM, Yu J, Yuan L, Yuen SPY, Yurkewicz A, Yusuff I, Zabinski B, Zaidan R, Zaitsev AM, Zalieckas J, Zaman A, Zambito S, Zanello L, Zanzi D, Zeitnitz C, Zeman M, Zemla A, Zeng Q, Zengel K, Zenin O, Ženiš T, Zerwas D, Zhang D, Zhang F, Zhang H, Zhang J, Zhang L, Zhang R, Zhang X, Zhang Z, Zhao X, Zhao Y, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou C, Zhou L, Zhou L, Zhou M, Zhou N, Zhu CG, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zibell A, Zieminska D, Zimine NI, Zimmermann C, Zimmermann S, Zinonos Z, Zinser M, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, zur Nedden M, Zurzolo G, Zwalinski L. Search for direct top squark pair production in final states with two tau leptons in pp collisions at [Formula: see text] TeV with the ATLAS detector

A search for direct pair production of the supersymmetric partner of the top quark, decaying via a scalar tau to a nearly massless gravitino, has been performed using 20 fb[Formula: see text] of proton-proton collision data at [Formula: see text]. The data were collected by the ATLAS experiment at the LHC in 2012. Top squark candidates are searched for in events with either two hadronically decaying tau leptons, one hadronically decaying tau and one light lepton, or two light leptons. No significant excess over the Standard Model expectation is found. Exclusion limits at [Formula: see text] confidence level are set as a function of the top squark and scalar tau masses. Depending on the scalar tau mass, ranging from the [Formula: see text] LEP limit to the top squark mass, lower limits between 490 and [Formula: see text] are placed on the top squark mass within the model considered.

Measurement of the Top Quark Pair Production Cross Section in Proton-Proton Collisions at √[s]=13 TeV

The top quark pair production cross section is measured for the first time in proton-proton collisions at sqrt[s]=13  TeV by the CMS experiment at the CERN LHC, using data corresponding to an integrated luminosity of 43  pb^{-1}. The measurement is performed by analyzing events with at least one electron and one muon of opposite charge, and at least two jets. The measured cross section is 746±58(stat)±53(syst)±36(lumi)  pb, in agreement with the expectation from the standard model.

Denis RD, Stabile A, Staerz S, Stahlman J, Stamen R, Stamm S, Stanecka E, Stanek RW, Stanescu C, Stanescu-Bellu M, Stanitzki MM, Stapnes S, Starchenko EA, Stark J, Staroba P, Starovoitov P, Staszewski R, Steinberg P, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stewart GA, Stillings JA, Stockton MC, Stoebe M, Stoicea G, Stolte P, Stonjek S, Stradling AR, Straessner A, Stramaglia ME, Strandberg J, Strandberg S, Strandlie A, Strauss E, Strauss M, Strizenec P, Ströhmer R, Strom DM, Stroynowski R, Strubig A, Stucci SA, Stugu B, Styles NA, Su D, Su J, Subramaniam R, Succurro A, Suchek S, Sugaya Y, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun S, Sun X, Sundermann JE, Suruliz K, Susinno G, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Sykora I, Sykora T, Ta D, Taccini C, Tackmann K, Taenzer J, Taffard A, Tafirout R, Taiblum N, Takai H, Takashima R, Takeda H, Takeshita T, Takubo Y, Talby M, Talyshev AA, Tam JYC, Tan KG, Tanaka J, Tanaka R, Tanaka S, Tannenwald BB, Tapia Araya S, Tapprogge S, Tarem S, Tarrade F, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor AC, Taylor FE, Taylor GN, Taylor PTE, Taylor W, Teischinger FA, Teixeira-Dias P, Temming KK, Temple D, Ten Kate H, Teng PK, Teoh JJ, Tepel F, Terada S, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Theveneaux-Pelzer T, Thomas JP, Thomas-Wilsker J, Thompson EN, Thompson PD, Thompson RJ, Thompson AS, Thomsen LA, Thomson E, Thomson M, Thun RP, Tibbetts MJ, Ticse Torres RE, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tiouchichine E, Tipton P, Tisserant S, Todome K, Todorov T, Todorova-Nova S, Tojo J, Tokár S, Tokushuku K, Tollefson K, Tolley E, Tomlinson L, Tomoto M, Tompkins L, Toms K, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, Trefzger T, Tremblet L, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Trischuk W, Trocmé B, Troncon C, Trottier-McDonald M, Trovatelli M, Truong L, Trzebinski M, Trzupek A, Tsarouchas C, Tseng JCL, Tsiareshka PV, Tsionou D, Tsipolitis G, Tsirintanis N, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsui KM, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tudorache A, Tudorache V, Tuna AN, Tupputi SA, Turchikhin S, Turecek D, Turra R, Turvey AJ, Tuts PM, Tykhonov A, Tylmad M, Tyndel M, Ueda I, Ueno R, Ughetto M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Unverdorben C, Urban J, Urquijo P, Urrejola P, Usai G, Usanova A, Vacavant L, Vacek V, Vachon B, Valderanis C, Valencic N, Valentinetti S, Valero A, Valery L, Valkar S, Vallecorsa S, Valls Ferrer JA, Van Den Wollenberg W, Van Der Deijl PC, van der Geer R, van der Graaf H, van Eldik N, van Gemmeren P, Van Nieuwkoop J, van Vulpen I, van Woerden MC, Vanadia M, Vandelli W, Vanguri R, Vaniachine A, Vannucci F, Vardanyan G, Vari R, Varnes EW, Varol T, Varouchas D, Vartapetian A, Varvell KE, Vazeille F, Vazquez Schroeder T, Veatch J, Veloce LM, Veloso F, Velz T, Veneziano S, Ventura A, Ventura D, Venturi M, Venturi N, Venturini A, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vest A, Vetterli MC, Viazlo O, Vichou I, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Viel S, Vigne R, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinogradov VB, Vivarelli I, Vlachos S, Vladoiu D, Vlasak M, Vogel M, Vokac P, Volpi G, Volpi M, von der Schmitt H, von Radziewski H, von Toerne E, Vorobel V, Vorobev K, Vos M, Voss R, Vossebeld JH, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vuillermet R, Vukotic I, Vykydal Z, Wagner P, Wagner W, Wahlberg H, Wahrmund S, Wakabayashi J, Walder J, Walker R, Walkowiak W, Wang C, Wang F, Wang H, Wang H, Wang J, Wang J, Wang K, Wang R, Wang SM, Wang T, Wang T, Wang X, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Washbrook A, Wasicki C, Watkins PM, Watson AT, Watson IJ, Watson MF, Watts G, Watts S, Waugh BM, Webb S, Weber MS, Weber SW, Webster JS, Weidberg AR, Weinert B, Weingarten J, Weiser C, Weits H, Wells PS, Wenaus T, Wengler T, Wenig S, Wermes N, Werner M, Werner P, Wessels M, Wetter J, Whalen K, Wharton AM, White A, White MJ, White R, White S, Whiteson D, Wickens FJ, Wiedenmann W, Wielers M, Wienemann P, Wiglesworth C, Wiik-Fuchs LAM, Wildauer A, Wilkens HG, Williams HH, Williams S, Willis C, Willocq S, Wilson A, Wilson JA, Wingerter-Seez I, Winklmeier F, Winter BT, Wittgen M, Wittkowski J, Wollstadt SJ, Wolter MW, Wolters H, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wu M, Wu M, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xu D, Xu L, Yabsley B, Yacoob S, Yakabe R, Yamada M, Yamaguchi D, Yamaguchi Y, Yamamoto A, Yamamoto S, Yamanaka T, Yamauchi K, Yamazaki Y, Yan Z, Yang H, Yang H, Yang Y, Yao WM, Yap YC, Yasu Y, Yatsenko E, Yau Wong KH, Ye J, Ye S, Yeletskikh I, Yen AL, Yildirim E, Yorita K, Yoshida R, Yoshihara K, Young C, Young CJS, Youssef S, Yu DR, Yu J, Yu JM, Yu J, Yuan L, Yuen SPY, Yurkewicz A, Yusuff I, Zabinski B, Zaidan R, Zaitsev AM, Zalieckas J, Zaman A, Zambito S, Zanello L, Zanzi D, Zeitnitz C, Zeman M, Zemla A, Zeng JC, Zeng Q, Zengel K, Zenin O, Ženiš T, Zerwas D, Zhang D, Zhang F, Zhang G, Zhang H, Zhang J, Zhang L, Zhang R, Zhang X, Zhang Z, Zhao X, Zhao Y, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou C, Zhou L, Zhou L, Zhou M, Zhou N, Zhu CG, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zibell A, Zieminska D, Zimine NI, Zimmermann C, Zimmermann S, Zinonos Z, Zinser M, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, zur Nedden M, Zurzolo G, Zwalinski L. Reconstruction of hadronic decay products of tau leptons with the ATLAS experiment

This paper presents a new method of reconstructing the individual charged and neutral hadrons in tau decays with the ATLAS detector. The reconstructed hadrons are used to classify the decay mode and to calculate the visible four-momentum of reconstructed tau candidates, significantly improving the resolution with respect to the calibration in the existing tau reconstruction. The performance of the reconstruction algorithm is optimised and evaluated using simulation and validated using samples of [Formula: see text] and [Formula: see text]+jets events selected from proton-proton collisions at a centre-of-mass energy [Formula: see text], corresponding to an integrated luminosity of 5 [Formula: see text].

Identification and energy calibration of hadronically decaying tau leptons with the ATLAS experiment in pp collisions at [Formula: see text][Formula: see text]

This paper describes the trigger and offline reconstruction, identification and energy calibration algorithms for hadronic decays of tau leptons employed for the data collected from pp collisions in 2012 with the ATLAS detector at the LHC center-of-mass energy [Formula: see text] [Formula: see text]. The performance of these algorithms is measured in most cases with [Formula: see text] decays to tau leptons using the full 2012 dataset, corresponding to an integrated luminosity of 20.3 fb[Formula: see text]. An uncertainty on the offline reconstructed tau energy scale of 2-4 %, depending on transverse energy and pseudorapidity, is achieved using two independent methods. The offline tau identification efficiency is measured with a precision of 2.5 % for hadronically decaying tau leptons with one associated track, and of 4 % for the case of three associated tracks, inclusive in pseudorapidity and for a visible transverse energy greater than 20 [Formula: see text]. For hadronic tau lepton decays selected by offline algorithms, the tau trigger identification efficiency is measured with a precision of 2-8 %, depending on the transverse energy. The performance of the tau algorithms, both offline and at the trigger level, is found to be stable with respect to the number of concurrent proton-proton interactions and has supported a variety of physics results using hadronically decaying tau leptons at ATLAS.

Parton distributions in the LHC era: MMHT 2014 PDFs

We present LO, NLO and NNLO sets of parton distribution functions (PDFs) of the proton determined from global analyses of the available hard scattering data. These MMHT2014 PDFs supersede the 'MSTW2008' parton sets, but they are obtained within the same basic framework. We include a variety of new data sets, from the LHC, updated Tevatron data and the HERA combined H1 and ZEUS data on the total and charm structure functions. We also improve the theoretical framework of the previous analysis. These new PDFs are compared to the 'MSTW2008' parton sets. In most cases the PDFs, and the predictions, are within one standard deviation of those of MSTW2008. The major changes are the [Formula: see text] valence quark difference at small [Formula: see text] due to an improved parameterisation and, to a lesser extent, the strange quark PDF due to the effect of certain LHC data and a better treatment of the [Formula: see text] branching ratio. We compare our MMHT PDF sets with those of other collaborations; in particular with the NNPDF3.0 sets, which are contemporary with the present analysis.