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Related papers: Bayesian inference of $W$-boson mass

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Previous studies of the QED systematic uncertainties on the LEP measurement of the W-boson mass have used idealized event selections and fitting procedures. In this paper, the Monte Carlo tandem of KoralW and YFSWW is used to investigate…

High Energy Physics - Phenomenology · Physics 2009-11-10 M. A. Thomson

I present a precise measurement of W boson mass measurement in electron decay channel using data collected by the D0 detector at the Fermilab Tevatron Collider. A binned likelihood fit method is used to extract the mass information from the…

High Energy Physics - Experiment · Physics 2011-10-10 Daniel Boline

The determination of the $W$-boson mass through an analysis of the decay charged-lepton transverse momentum distribution has a sizable uncertainty due to the imperfect knowledge of the relevant parton distribution functions (PDFs). In this…

High Energy Physics - Phenomenology · Physics 2019-09-04 Moh'd Hussein , Joshua Isaacson , Joey Huston

The measurement of the mass of the W boson is one of the prime goals of the Tevatron experiments. In this contribution, a review is given of the most recent determinations of the W boson mass (mW) at the Tevatron. The combined Tevatron…

High Energy Physics - Experiment · Physics 2019-08-14 M. P. Sanders

A nonparanormal graphical model is a semiparametric generalization of a Gaussian graphical model for continuous variables in which it is assumed that the variables follow a Gaussian graphical model only after some unknown smooth monotone…

Methodology · Statistics 2021-02-23 Jami J. Mulgrave , Subhashis Ghosal

We propose a tantalizing possibility that misinterpretation of the reconstructed missing momentum may have yielded the observed discrepancies among measurements of the $W$-mass in different collider experiments. We introduce a…

High Energy Physics - Phenomenology · Physics 2023-08-23 Triparno Bandyopadhyay , Ankita Budhraja , Samadrita Mukherjee , Tuhin S. Roy

We derive an estimator of weak gravitational lensing shear from background galaxy images that avoids noise-induced biases through a rigorous Bayesian treatment of the measurement. The derived shear estimator disposes with the assignment of…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-15 Gary M. Bernstein , Robert Armstrong

This paper uses a minimum divergence framework to introduce a new way of calculating model weights that can be used to average probabilistic predictions from statistical and machine learning models. The method is general and can be applied…

Machine Learning · Statistics 2026-04-28 Olav Benjamin Vassend

Drell-Yan lepton pairs are produced in the process $p\bar{p} \rightarrow \mu^+\mu^- + X$ through an intermediate $\gamma^*/Z$ boson. The forward-backward asymmetry in the polar-angle distribution of the $\mu^-$ as a function of the…

High Energy Physics - Experiment · Physics 2014-06-04 CDF Collaboration , T. Aaltonen , S. Amerio , D. Amidei , A. Anastassov , A. Annovi , J. Antos , G. Apollinari , J. A. Appel , T. Arisawa , A. Artikov , J. Asaadi , W. Ashmanskas , B. Auerbach , A. Aurisano , F. Azfar , W. Badgett , T. Bae , A. Barbaro-Galtieri , V. E. Barnes , B. A. Barnett , P. Barria , P. Bartos , M. Bauce , F. Bedeschi , S. Behari , G. Bellettini , J. Bellinger , D. Benjamin , A. Beretvas , A. Bhatti , K. R. Bland , B. Blumenfeld , A. Bocci , A. Bodek , D. Bortoletto , J. Boudreau , A. Boveia , L. Brigliadori , C. Bromberg , E. Brucken , J. Budagov , H. S. Budd , K. Burkett , G. Busetto , P. Bussey , P. Butti , A. Buzatu , A. Calamba , S. Camarda , M. Campanelli , F. Canelli , B. Carls , D. Carlsmith , R. Carosi , S. Carrillo , B. Casal , M. Casarsa , A. Castro , P. Catastini , D. Cauz , V. Cavaliere , M. Cavalli-Sforza , A. Cerri , L. Cerrito , Y. C. Chen , M. Chertok , G. Chiarelli , G. Chlachidze , K. Cho , D. Chokheli , A. Clark , C. Clarke , M. E. Convery , J. Conway , M. Corbo , M. Cordelli , C. A. Cox , D. J. Cox , M. Cremonesi , D. Cruz , J. Cuevas , R. Culbertson , N. d'Ascenzo , M. Datta , P. de Barbaro , L. Demortier , L. Marchese , M. Deninno , F. Devoto , M. D'Errico , A. Di Canto , B. Di Ruzza , J. R. Dittmann , M. D'Onofrio , S. Donati , M. Dorigo , A. Driutti , K. Ebina , R. Edgar , A. Elagin , R. Erbacher , S. Errede , B. Esham , S. Farrington , J. P. Fernández Ramos , R. Field , G. Flanagan , R. Forrest , M. Franklin , J. C. Freeman , H. Frisch , Y. Funakoshi , C. Galloni , A. F. Garfinkel , P. Garosi , H. Gerberich , E. Gerchtein , S. Giagu , V. Giakoumopoulou , K. Gibson , C. M. Ginsburg , N. Giokaris , P. Giromini , G. Giurgiu , V. Glagolev , D. Glenzinski , M. Gold , D. Goldin , A. Golossanov , G. Gomez , G. Gomez-Ceballos , M. Goncharov , O. González López , I. Gorelov , A. T. Goshaw , K. Goulianos , E. Gramellini , S. Grinstein , C. Grosso-Pilcher , R. C. Group , J. Guimaraes da Costa , S. R. Hahn , J. Y. Han , F. Happacher , K. Hara , M. Hare , R. F. Harr , T. Harrington-Taber , K. Hatakeyama , C. Hays , J. Heinrich , M. Herndon , A. Hocker , Z. Hong , W. Hopkins , S. Hou , R. E. Hughes , U. Husemann , M. Hussein , J. Huston , G. Introzzi , M. Iori , A. Ivanov , E. James , D. Jang , B. Jayatilaka , E. J. Jeon , S. Jindariani , M. Jones , K. K. Joo , S. Y. Jun , T. R. Junk , M. Kambeitz , T. Kamon , P. E. Karchin , A. Kasmi , Y. Kato , W. Ketchum , J. Keung , B. Kilminster , D. H. Kim , H. S. Kim , J. E. Kim , M. J. Kim , S. B. Kim , S. H. Kim , Y. K. Kim , Y. J. Kim , N. Kimura , M. Kirby , K. Knoepfel , K. Kondo , D. J. Kong , J. Konigsberg , A. V. Kotwal , M. Kreps , J. Kroll , M. Kruse , T. Kuhr , M. Kurata , A. T. Laasanen , S. Lammel , M. Lancaster , K. Lannon , G. Latino , H. S. Lee , J. S. Lee , S. Leo , S. Leone , J. D. Lewis , A. Limosani , E. Lipeles , A. Lister , H. Liu , Q. Liu , T. Liu , S. Lockwitz , A. Loginov , A. Lucà , D. Lucchesi , J. Lueck , P. Lujan , P. Lukens , G. Lungu , J. Lys , R. Lysak , R. Madrak , P. Maestro , S. Malik , G. Manca , A. Manousakis-Katsikakis , F. Margaroli , P. Marino , M. Martínez , K. Matera , M. E. Mattson , A. Mazzacane , P. Mazzanti , R. McNulty , A. Mehta , P. Mehtala , C. Mesropian , T. Miao , D. Mietlicki , A. Mitra , H. Miyake , S. Moed , N. Moggi , C. S. Moon , R. Moore , M. J. Morello , A. Mukherjee , Th. Muller , P. Murat , M. Mussini , J. Nachtman , Y. Nagai , J. Naganoma , I. Nakano , A. Napier , J. Nett , C. Neu , T. Nigmanov , L. Nodulman , S. Y. Noh , O. Norniella , L. Oakes , S. H. Oh , Y. D. Oh , I. Oksuzian , T. Okusawa , R. Orava , L. Ortolan , C. Pagliarone , E. Palencia , P. Palni , V. Papadimitriou , W. Parker , G. Pauletta , M. Paulini , C. Paus , T. J. Phillips , G. Piacentino , E. Pianori , J. Pilot , K. Pitts , C. Plager , L. Pondrom , S. Poprocki , K. Potamianos , F. Prokoshin , A. Pranko , F. Ptohos , G. Punzi , N. Ranjan , I. Redondo Fernández , P. Renton , M. Rescigno , F. Rimondi , L. Ristori , A. Robson , T. Rodriguez , S. Rolli , M. Ronzani , R. Roser , J. L. Rosner , F. Ruffini , A. Ruiz , J. Russ , V. Rusu , W. K. Sakumoto , Y. Sakurai , L. Santi , K. Sato , V. Saveliev , A. Savoy-Navarro , P. Schlabach , E. E. Schmidt , T. Schwarz , L. Scodellaro , F. Scuri , S. Seidel , Y. Seiya , A. Semenov , F. Sforza , S. Z. Shalhout , T. Shears , P. F. Shepard , M. Shimojima , M. Shochet , I. Shreyber-Tecker , A. Simonenko , K. Sliwa , J. R. Smith , F. D. Snider , V. Sorin , H. Song , M. Stancari , R. St. Denis , D. Stentz , J. Strologas , Y. Sudo , A. Sukhanov , I. Suslov , K. Takemasa , Y. Takeuchi , J. Tang , M. Tecchio , P. K. Teng , J. Thom , E. Thomson , V. Thukral , D. Toback , S. Tokar , K. Tollefson , T. Tomura , D. Tonelli , S. Torre , D. Torretta , P. Totaro , M. Trovato , F. Ukegawa , S. Uozumi , F. Vázquez , G. Velev , C. Vellidis , C. Vernieri , M. Vidal , R. Vilar , J. Vizán , M. Vogel , G. Volpi , P. Wagner , R. Wallny , S. M. Wang , D. Waters , W. C. Wester , D. Whiteson , A. B. Wicklund , S. Wilbur , H. H. Williams , J. S. Wilson , P. Wilson , B. L. Winer , P. Wittich , S. Wolbers , H. Wolfe , T. Wright , X. Wu , Z. Wu , K. Yamamoto , D. Yamato , T. Yang , U. K. Yang , Y. C. Yang , W. -M. Yao , G. P. Yeh , K. Yi , J. Yoh , K. Yorita , T. Yoshida , G. B. Yu , I. Yu , A. M. Zanetti , Y. Zeng , C. Zhou , S. Zucchelli

In view of the discovery of a new boson by the ATLAS and CMS Collaborations at the LHC, we present an update of the global Standard Model (SM) fit to electroweak precision data. Assuming the new particle to be the SM Higgs boson, all…

High Energy Physics - Phenomenology · Physics 2013-06-05 M. Baak , M. Goebel , J. Haller , A. Hoecker , D. Kennedy , R. Kogler , K. Moenig , M. Schott , J. Stelzer

We use the theory of normal variance-mean mixtures to derive a data augmentation scheme for models that include gamma functions. Our methodology applies to many situations in statistics and machine learning, including Multinomial-Dirichlet…

Methodology · Statistics 2021-06-22 Jingyu He , Nicholas Polson , Jianeng Xu

We propose a statistical benchmark for diffusion posterior sampling (DPS) algorithms for Bayesian linear inverse problems. The benchmark synthesizes signals from sparse L\'evy-process priors whose posteriors admit efficient Gibbs methods.…

Signal Processing · Electrical Eng. & Systems 2025-09-17 Martin Zach , Youssef Haouchat , Michael Unser

Sampling from an unknown distribution, accessible only through discrete samples, is a fundamental problem at the core of generative AI. The current state-of-the-art methods follow a two-step process: first, estimating the score function…

Machine Learning · Computer Science 2026-05-20 Samuel Hurault , Matthieu Terris , Thomas Moreau , Gabriel Peyré

Recent calculations have significantly decreased the scheme and residual scale dependence of basic radiative corrections of the Standard Electroweak Model. This leads to a theoretically accurate prediction of the W-boson mass M(W), as well…

High Energy Physics - Phenomenology · Physics 2009-10-30 G. Degrassi , P. Gambino , M. Passera , A. Sirlin

Bayesian inference typically requires the computation of an approximation to the posterior distribution. An important requirement for an approximate Bayesian inference algorithm is to output high-accuracy posterior mean and uncertainty…

Statistics Theory · Mathematics 2018-10-03 Jonathan H. Huggins , Trevor Campbell , Mikołaj Kasprzak , Tamara Broderick

We report a study of the invariant mass distribution of jet pairs produced in association with a W boson using data collected with the CDF detector which correspond to an integrated luminosity of 4.3 fb^-1. The observed distribution has an…

High Energy Physics - Experiment · Physics 2011-05-05 CDF Collaboration , T. Aaltonen

The mass of the W boson has been measured by the LEP collaborations from the data recorded during the LEP2 programme at e+ e- centre of mass energies from 161 to 209 GeV, giving the result : mw = 80.450 +/- 0.039 GeV/c^2. This paper…

High Energy Physics - Experiment · Physics 2007-05-23 C. J. Parkes

To find New Physics or to refine our knowledge of the Standard Model at the LHC is an enterprise that involves many factors. We focus on taking advantage of available information and pour our effort in re-thinking the usual data-driven ABCD…

High Energy Physics - Phenomenology · Physics 2024-09-26 Ezequiel Alvarez , Leandro Da Rold , Manuel Szewc , Alejandro Szynkman , Santiago A. Tanco , Tatiana Tarutina

In this paper we introduce objective proper prior distributions for hypothesis testing and model selection based on measures of divergence between the competing models; we call them divergence based (DB) priors. DB priors have simple forms…

Methodology · Statistics 2009-02-27 M. J. Bayarri , G. García-Donato

Despite the remarkable empirical success of score-based diffusion models, their statistical guarantees remain underdeveloped. Existing analyses often provide pessimistic convergence rates that do not reflect the intrinsic low-dimensional…

Machine Learning · Statistics 2026-04-24 Saptarshi Chakraborty , Quentin Berthet , Peter L. Bartlett
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