Precision measurement of the top-quark mass from dilepton events at CDF II

Abulencia, A.; Adelman, J.; Affolder, A. A.; Akimoto, T.; Albrow, M.; Ambrose, D.; Amerio, S.; Amidei, D.; Anastassov, A.; Anikeev, K.; Annovi, A.; Antos̆, J.; Aoki, M.; Apollinari, G.; Arguin, J-F.; Arisawa, T.; Artikov, A.; Ashmanskas, W.; Attal, A.; Azfar, F.; Azzi-Bacchetta, P.; Azzurri, P.; Bacchetta, N.; Badgett, W.; Barbaro‐Galtieri, A.; Barnes, V. E.; Barnett, B. A.; Baroiant, S.; Bartsch, V.; Bauer, G.; Bedeschi, F.; Behari, S.; Belforte, S.; Bellettini, G.; Bellinger, J.; Belloni, A.; Benjamin, D.; Beretvas, A.; Beringer, J.; Berry, T.; Bhatti, A.; Binkley, M.; Bisello, D.; Blair, R. E.; Blocker, C.; Blumenfeld, B.; Bocci, A.; Bodek, A.; Boisvert, V.; Bolla, G.; Bolshov, A.; Bortoletto, D.; Boudreau, J.; Boveia, A.; Brau, B.; Brigliadori, L.; Bromberg, C.; Brubaker, E.; Budagov, J.; Budd, H. S.; Budd, S.; Budroni, S.; Burkett, K.; Busetto, G.; Bussey, P.; Byrum, K. L.; Cabrera, S.; Campanelli, M.; Campbell, M.; Canelli, F.; Canepa, A.; Carillo, Serge; Carlsmith, D.; Carosi, R.; Carron, S.; Casarsa, M.; Castro, A.; Catastini, P.; Cauz, D.; Cavalli‐Sforza, M.; Cerri, A.; Cerrito, L.; Chang, S. H.; Chen, Y. C.; Chertok, M.; Chiarelli, G.; Chlachidze, G.; Chlebana, F.; Cho, I.; Cho, K.; Chokheli, D.; Chou, J. P.; Choudalakis, G.; Chuang, S. H.; Chung, K.; Chung, W. H.; Chung, Y. S.; Ciljak, M.; Ciobanu, C. I.; Ciocci, M. A.; Clark, A.; Clark, D.; Coca, M.; Compostella, G.; Convery, M. E.; Conway, J.; Cooper, B. D.; Copic, K.; Cordelli, M.; Cortiana, G.; Crescioli, F.; Almenar, C. Cuenca; Cuevas, J.; Culbertson, R.; Cully, J. C.; Cyr, D.; DaRonco, S.; Datta, M.; D’Auria, S.; Davies, T.; D’Onofrio, M.; Dagenhart, D.; Barbaro, P. de; Cecco, S. De; Deisher, A.; Lentdecker, G. De; Dell’Orso, M.; Paoli, F. Delli; Demortier, L.; Deng, J.; Deninno, M.; Pedis, D. De; Derwent, P. F.; Giovanni, G. P. Di; Dionisi, C.; Ruzza, B. Di; Dittmann, J.; DiTuro, P.; Dörr, C.; Donati, S.; Donegà, M.; Dong, P.; Donini, J.; Dorigo, T.; Dubé, S.; Efron, J.; Erbacher, R.; Errede, D.; Errede, S.; Eusebi, R.; Fang, H. C.; Farrington, S. M.; Fedorko, I.; Fedorko, W. T.; Feild, R. G.; Feindt, M.; Fernández, J. P.; Field, R. D.; Flanagan, G.; Foland, A.; Forrester, S.; Foster, G. W.; Franklin, M.; Freeman, J.; Furic, I. K.; Gallinaro, M.; Galyardt, J.; Garcia, J. E.; Garberson, F.; Garfinkel, A. F.; Gerberich, H.; Gerdes, D. W.; Giagu, S.; Giannetti, P.; Gibson, A.; Gibson, K.; Gimmell, J. L.; Ginsburg, C. M.; Giokaris, N.; Giordani, M. P.; Giromini, P.; Giunta, M.; Giurgiu, G.; Glagolev, V.; Glenzinskí, D.; Gold, M.; Goldschmidt, N.; Goldstein, J.; Golossanov, A.; Gómez, G.; Gómez-Ceballos, G.; Goncharov, M.; González, O.; Gorelov, I.; Goshaw, A. T.; Goulianos, K.; Gresele, A.; Griffiths, M.; Grinstein, S.; Grosso-Pilcher, C.; Grundler, U.; Costa, J. Guimarães da; Gunay-Unalan, Z.; Haber, C.; Hahn, K. A.; Hahn, S. R.; Halkiadakis, E.; Hamilton, A.; Han, B. Y.; Han, J.; Handler, R.; Happacher, F.; Hara, K.; Hare, M.; Harper, S.; Harr, R.; Harris, R. M.; Hartz, M.; Hatakeyama, K.; Hauser, J.; Heijboer, A.; Heinemann, B.; Heinrich, J.; Henderson, C.; Herndon, M.; Heuser, J.; Hidas, D.; Hill, C.; Hirschbuehl, D.; Höcker, A.; Holloway, A.; Hou, S.; Houlden, M.; Hsu, S.‐C.; Huffman, B. T.; Hughes, R.; Husemann, U.; Huston, J.; Incandela, J.; Introzzi, G.; Iori, M.; Ishizawa, Y.; Ivanov, A.; Iyutin, B.; James, E.; Jang, D.; Jayatilaka, B.; Jeans, D.; Jensen, H.; Jeon, E. J.; Jindariani, S.; Jones, M.; Joo, K. K.; Jun, S. Y.; Jung, Jerome; Junk, T. R.; Kamon, T.; Karchin, P. E.; Kato, Y.; Kemp, Y.; Kephart, R.; Kerzel, U.; Khotilovich, V.; Kilminster, B.; Kim, D. H.; Kim, H. S.; Kim, J. E.; Kim, M. J.; Kim, S. B.; Kim, S. H.; Kim, Y. K.; Kimura, N.; Kirsch, L.; Klimenko, S.; Klute, M.; Knuteson, B.; Ko, B. R.; Kondo, K.; Kong, D. 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Van; Varganov, A.; Vataga, E.; Vázquez, F.; Velev, G.; Veramendi, G.; Veszprémi, V.; Vidal, R.; Vila, I.; Vilar, R.; Vine, T.; Vollrath, I.; Volobouev, I.; Volpi, G.; Würthwein, F.; Wagner, P.; Wagner, R. G.; Wagner, R. L.; Wagner, J.; Wagner, W.; Wallny, R.; Wang, S. M.; Warburton, A.; Waschke, S.; Waters, D.; Weinberger, M.; Wester, W. C.; Whitehouse, B.; Whiteson, D.; Wicklund, A. B.; Wicklund, E.; Williams, G.; Williams, H. H.; Wilson, P.; Winer, B. L.; Wittich, P.; Wolbers, S.; Wolfe, C.; Wright, T.; Wu, X.; Wynne, S. M.; Yagil, A.; Yamamoto, K.; Yamaoka, J.; Yamashita, T.; Yang, C.; Yang, U. K.; Yang, Y.; Yao, Wei-Ming; Yeh, G. P.; Yoh, J.; Yorita, K.; Yoshida, T.; Yu, G. B.; Yu, I.; Yu, S. S.; Yun, J. C.; Zanello, L.; Zanetti, A.; Zaw, I.; Zhang, X.; Zhou, J.; Zucchelli, S.

doi:10.1103/physrevd.75.031105

Cited by 68 publications

(75 citation statements)

References 23 publications

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“…The method has been later extended also to include a simultaneous determination of the Jet-Energy-Scale uncertainty. The accuracy of the experimental determination of m t has been further improved by the contribution of other studies based on matrix element method [13,14,15]. In these analyses, a dedicated phasespace integration was performed to define the event weight.…”

Section: Top-quark Mass Measurementmentioning

confidence: 99%

“…The best known example is its application to top-quark-pair production -investigated both by the CDF and D∅ collaborations [11,12,13,14,15]-which has led to the single most precise measurement of the top-quark mass. Recently, it has contributed to the observation of single-top production [16,17] and to set an upper limit on the boson production of a standard model Higgs [18], currently excluded in the mass region 158 GeV < m H < 175 GeV at 95% confidence level [19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automation of the matrix element reweighting method

Artoisenet

Lemaı̂tre

Maltoni

et al. 2010

J. High Energ. Phys.

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Matrix element reweighting is a powerful experimental technique widely employed to maximize the amount of information that can be extracted from a collider data set. We present a procedure that allows to automatically evaluate the weights for any process of interest in the standard model and beyond. Given the initial, intermediate and final state particles, and the transfer functions for the final physics objects, such as leptons, jets, missing transverse energy, our algorithm creates a phase-space mapping designed to efficiently perform the integration of the squared matrix element and the transfer functions. The implementation builds up on MadGraph, it is completely automatized and publicly available. A few sample applications are presented that show the capabilities of the code and illustrate the possibilities for new studies that such an approach opens up.

show abstract

Section: Top-quark Mass Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automation of the matrix element reweighting method

Artoisenet

Lemaı̂tre

Maltoni

et al. 2010

J. High Energ. Phys.

View full text Add to dashboard Cite

show abstract

“…Among these, the matrix element method (MEM) stands out since it is sensitive to all the available kinematic information for each individual event. Originally pioneered at the Tevatron [9,10], the MEM has proven extremely useful in the the top sector [11][12][13][14][15][16]. Recently the method has been used to observe single top production [17][18][19][20] and to provide evidence for top quark spin correlations [21].…”

Section: Jhep11(2012)043mentioning

confidence: 99%

The matrix element method at next-to-leading order

Campbell

Giele

Williams

2012

J. High Energ. Phys.

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This paper presents an extension of the matrix element method to next-toleading order in perturbation theory, for electro-weak final states. To accomplish this we have developed a method to calculate next-to-leading order weights on an event-by-event basis. This allows for the definition of next-to-leading order likelihoods in exactly the same fashion as at leading order, thus extending the matrix element method to next-to-leading order. A welcome by-product of the method is the straightforward and efficient generation of unweighted next-to-leading order events. As examples of the application of our next-toleading order matrix element method we consider the measurement of the mass of the Z boson and also the search for the Higgs boson in the four lepton channel.

show abstract

“…One example is using a matrix elements analysis [86] as part of the discriminant. This approach has been used to perform very powerful searches in other analyses [87]. These improvements would strengthen the search for ZH → ℓ …”

Section: Outlook For Full Tevatron Runmentioning

confidence: 99%

Search for the Higgs boson in the ZH to ℓ<sup>+</sup>ℓ<sup>-</sup>b$\bar{b}$ channel at CDF Run II

Efron

2007

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The Standard Model of particle physics is in excellent agreement with the observed phenomena of particle physics. Within the Standard Model, the weak and electromagnetic forces are successfully combined. However, this combination is only valid if the masses of the force carriers of the weak force, the Z and W bosons, are massless. In fact, these two particles are the second and third most massive observed elementary particles. Within the minimal Standard Model, the Higgs mechanism is introduced to reconcile this contradiction. Conclusive proof of this theory would come with the discovery of the Higgs boson. This dissertation presents a search for the Higgs boson produced in conjunction with a Z boson. This search is limited to a Higgs boson mass range between 100GeV /c 2 and 150 GeV /c 2 , for Higgs boson decays to a bb pair, and Z boson decays to

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Precision measurement of the top-quark mass from dilepton events at CDF II

Cited by 68 publications

References 23 publications

Automation of the matrix element reweighting method

Automation of the matrix element reweighting method

The matrix element method at next-to-leading order

Search for the Higgs boson in the ZH to ℓ<sup>+</sup>ℓ<sup>-</sup>b$\bar{b}$ channel at CDF Run II

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