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Related papers: Theory Techniques for Precision Physics -- Snowmas…

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We introduce a new approach to prediction in graphical models with latent-shift adaptation, i.e., where source and target environments differ in the distribution of an unobserved confounding latent variable. Previous work has shown that as…

Machine Learning · Statistics 2023-06-26 William I. Walker , Arthur Gretton , Maneesh Sahani

The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically…

Starting with next-generation experiments, flavor physics fully enters the era of precision measurements. The focus shifts from testing the Standard Model to finding and characterizing new physics contributions. We review the opportunities…

High Energy Physics - Phenomenology · Physics 2015-05-30 Marco Ciuchini , Achille Stocchi

In this summary we present the current status of the Standard Model of strong and electroweak interactions from the theoretical and experimental point of view. Some discussion is also devoted to the exploration of possible New Physics…

High Energy Physics - Phenomenology · Physics 2010-11-11 Andrea Castro , Gennaro Corcella

There have been a great deal of works on the precision test of the standard model (SM) because of the incredibly precise data obtained at the LEP and the new measurements of $M_W$ and $m_t$ at the Fermilab Tevatron as well as the recent…

High Energy Physics - Phenomenology · Physics 2007-05-23 Kyungsik Kang , Sin Kyu Kang

In this white paper for the Snowmass process, we summarize the role flavor model building plays in the quest for new physics. We review approaches to address the non-generic flavor structure of the Standard Model and discuss how new physics…

High Energy Physics - Phenomenology · Physics 2023-03-24 Wolfgang Altmannshofer , Jure Zupan

The Standard Model of Fundamental Interactions (SM) represents one of the most precise theories in physics. Among the predictions of the SM we find, for instance, the anomalous magnetic moment of the electron $a_e = 0.001159652181643(764)$.…

High Energy Physics - Phenomenology · Physics 2021-04-29 Miguel G. Folgado

This talk summarizes topical theoretical work for tests of the electroweak standard model and of the minimal supersymmetric standard model (MSSM). The status of the standard model and the MSSM is discussed in view of recent precision data.…

High Energy Physics - Phenomenology · Physics 2011-07-19 W. Hollik

We develop a new approach to estimate the uncertainty due to missing higher orders in perturbative predictions (the perturbative "theory uncertainty"), which overcomes many inherent limitations of the currently prevalent methods based on…

High Energy Physics - Phenomenology · Physics 2025-03-28 Frank J. Tackmann

Particle-level measurements, especially of differential cross-sections, made in fiducial regions of phase-space have a high degree of model-independence and can therefore be used to give information about a wide variety of Beyond the…

High Energy Physics - Phenomenology · Physics 2019-10-02 J. M. Butterworth

We give a brief overview on the successes and theoretical problems of the Standard Model and discuss the basics of low-scale supersymmetry. We also address some of recent proposals for physics beyond the Standard Model and the connection to…

High Energy Physics - Phenomenology · Physics 2021-06-30 Hyun Min Lee

We review the theoretical status and the future perspectives of the most important electroweak precision observables in the MSSM. This comprises the mass of the W boson, M_W, the effective leptonic mixing angle, sin^2(theta_eff), the mass…

High Energy Physics - Phenomenology · Physics 2009-11-10 S. Heinemeyer

A wide array of deep-inelastic-scattering and hadron collider experiments have tested the predictions of the electroweak theory and measured its parameters, while also searching for new particles and processes. We summarise recent…

High Energy Physics - Experiment · Physics 2008-09-18 Christopher Hays , Michael Krämer , David M. South , Aleksander Filip Żarnecki

We combine all the available experimental information on Bs mixing, including the very recent tagged analyses of Bs to J/Psi phi by the CDF and D0 collaborations. We find that the phase of the Bs mixing amplitude deviates more than 3 sigma…

The $\Lambda$CDM model provides a good fit to most astronomical observations but harbors large areas of phenomenology and ignorance. With the improvements in the precision and number of observations, discrepancies between key cosmological…

Cosmology and Nongalactic Astrophysics · Physics 2023-02-15 Jian-Ping Hu , Fa-Yin Wang

The Belle-II experiment has recently measured $\mathcal{B}(B^+\to K^+\nu\bar{\nu})$, which appears to be almost $3\sigma$ larger than its Standard Model (SM) prediction. In this talk, I will critically revisit the status of the SM…

High Energy Physics - Phenomenology · Physics 2024-06-04 Olcyr Sumensari

After the LHC Run 1, the standard model (SM) of particle physics has been completed. Yet, despite its successes, the SM has shortcomings vis-\`{a}-vis cosmological and other observations. At the same time, while the LHC restarts for Run 2…

High Energy Physics - Phenomenology · Physics 2017-03-09 André David , Giampiero Passarino

This report summarizes the recent progress and promising future directions in theoretical high-energy physics (HEP) identified within the Theory Frontier of the 2021 Snowmass Process.

This is the third out of five chapters of the final report [1] of the Workshop on Physics at HL-LHC, and perspectives on HE-LHC [2]. It is devoted to the study of the potential, in the search for Beyond the Standard Model (BSM) physics, of…

High Energy Physics - Phenomenology · Physics 2019-08-14 X. Cid Vidal , M. D'Onofrio , P. J. Fox , R. Torre , K. A. Ulmer , A. Aboubrahim , A. Albert , J. Alimena , B. C. Allanach , C. Alpigiani , M. Altakach , S. Amoroso , J. K. Anders , J. Y. Araz , A. Arbey , P. Azzi , I. Babounikau , H. Baer , M. J. Baker , D. Barducci , V. Barger , O. Baron , L. Barranco Navarro , M. Battaglia , A. Bay , D. Bhatia , S. Biswas , D. Bloch , D. Bogavac , C. Borschensky , M. K. Bugge , D. Buttazzo , G. Cacciapaglia , L. Cadamuro , A. Calandri , D. A. Camargo , A. Canepa , L. Carminati , S. Carrá , C. A. Carrillo Montoya , A. Carvalho Antunes De Oliveira , F. L. Castillo , V. Cavaliere , D. Cavalli , C. Cecchi , A. Celis , A. Cerri , G. S. Chahal , A. Chakraborty , S. V. Chekanov , H. J. Cheng , J. T. Childers , M. Cirelli , O. Colegrove , G. Corcella , M. Corradi , M. J. Costa , R. Covarelli , N. P. Dang , A. Deandrea , S. De Curtis , H. De la Torre , L. Delle Rose , D. Del Re , A. Demela , S. Demers , R. Dermisek , A. De Santo , K. Deshpande , B. Dey , J. Donini , A. K. Duncan , V. Dutta , C. Escobar , L. Fanó , G. Ferretti , J. Fiaschi , O. Fischer , T. Flacke , E. D. Frangipane , M. Frank , G. Frattari , D. Frizzell , E. Fuchs , B. Fuks , E. Gabrielli , J. Gainer , Y. Gao , J. E. García Navarro , M. H. Genest , S. Giagu , G. F. Giudice , J. Goh , M. Gouzevitch , P. Govoni , A. Greljo , A. Grohsjean , A. Gurrola , G. Gustavino , C. Guyot , C. B. Gwilliam , S. Ha , U. Haisch , J. Haller , T. Han , D. Hayden , M. Heikinheimo , U. Heintz , C. Helsens , K. Hoepfner , J. M. Hogan , K. Huitu , P. Ilten , V. Ippolito , A. Ismail , A. M. Iyer , Sa. Jain , D. O. Jamin , L. Jeanty , T. Jezo , W. Johns , A. Kalogeropoulos , J. Karancsi , Y. Kats , H. Keller , A. Khanov , J. Kieseler , B. Kim , M. S. Kim , Y. G. Kim , M. Klasen , M. D. Klimek , R. Kogler , J. R. Komaragiri , M. Krämer , S. Kubota , A. K. Kulesza , S. Kulkarni , T. Lari , A. Ledovskoy , G. R. Lee , L. Lee , S. W. Lee , R. Leonardi , R. Les , I. M. Lewis , Q. Li , T. Li , I. T. Lim , S. H. Lim , K. Lin , Z. Liu , K. Long , M. Low , E. Lunghi , D. Madaffari , F. Mahmoudi , D. Majumder , S. Malvezzi , M. L. Mangano , E. Manoni , X. Marcano , A. Mariotti , M. Marjanovic , D. Marlow , J. Martin Camalich , P. Matorras Cuevas , M. McCullough , E. F. McDonald , J. Mejia Guisao , B. Mele , F. Meloni , I. -A. Melzer-Pellmann , C. Merlassino , A. B. Meyer , E. Michielin , A. J. Miller , L. Mittnacht , S. Mondal , S. Moretti , S. Mukhopadhyay , B. P. Nachman , K. Nam , M. Narain , M. Nardecchia , P. Nath , J. Navarro-González , A. Nisati , T. Nitta , D. L. Noel , M. M. Nojiri , J. P. Ochoa-Ricoux , H. Oide , M. L. Ojeda , S. Pagan Griso , E. Palencia Cortezon , O. Panella , P. Pani , L. Panizzi , L. Panwar , C. B. Park , J. Pazzini , K. Pedro , M. M. Perego , L. Perrozzi , B. A. Petersen , A. Pierce , G. Polesello , A. Policicchio , C. J. Potter , P. Pralavorio , M. Presilla , J. Proudfoot , F. S. Queiroz , G. Ramirez-Sanchez , D. Redigolo , A. Reimers , S. Resconi , M. Rimoldi , J. C. Rivera Vergara , T. Rizzo , C. Rogan , F. Romeo , R. Rosten , R. Ruiz , J. Ruiz-Alvarez , J. A. Sabater Iglesias , B. Safarzadeh Samani , S. Sagir , M. Saito , S. Saito , F. Sala , C. Salazar , A. Savin , R. Sawada , S. Sawant , I. Schienbein , M. Schlaffer , B. Schneider , S. C. Schuler , C. D. Sebastiani , S. Sekmen , M. Selvaggi , D. Sengupta , H. Serce , H. Serodio , L. Sestini , B. Shakya , B. Shams Es Haghi , P. Sheldon , S. Shin , F. Simonetto , L. Soffi , M. Spannowsky , J. Stupak , M. J. Sullivan , M. Sunder , Y. Takahashi , X. Tata , H. Teagle , K. Terashi , A. Tesi , A. Thamm , K. Tobioka , P. Tornambe , F. Trovato , D. Tsiakkouri , F. C. Ungaro , A. Urbano , E. Usai , N. Vanegas , L. Vaslin , C. Vázquez Sierra , I. Vivarelli , M. Vranjes Milosavljevic , H. Waltari , R. Wang , X. Wang , M. S. Weber , C. Weiland , M. Wielers , J. M. Williams , S. Willocq , D. Xu , K. Yagyu , E. Yazgan , R. Ye , H. D. Yoo , T. You , F. Yu , G. Zevi Della Porta , W. Zhang , C. Zhu , X. Zhuang , J. Zobec , J. Zupan , J. Zurita

This work aims to address the problem of long-term dynamic forecasting in complex environments where data are noisy and irregularly sampled. While recent studies have introduced some methods to improve prediction performance, these…

Machine Learning · Computer Science 2026-01-29 Yuchen Wang , Hongjue Zhao , Haohong Lin , Enze Xu , Lifang He , Huajie Shao