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The modeling of complex systems such as ecological or socio-economic systems can be very challenging. Although various modeling approaches exist, they are generally not compatible and mutually consistent, and empirical data often do not…

Physics and Society · Physics 2010-07-19 Dirk Helbing

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

The recent results on a number of searches performed at Tevatron for new phenomena beyond Standard Model are presented. The topics include the experimental tests of SUSY with mSUGRA and GMSB breaking scenarios. The latest analyses on large…

High Energy Physics - Experiment · Physics 2008-11-07 Igor V. Gorelov

We give a popular account of the present state of the research in the field of extra-solar planetary systems, popularly termed as exoplanets, with a brief overview of the techniques employed. We also discuss the question of habitability and…

Popular Physics · Physics 2014-10-29 Priyanka Chaturvedi , Ashok K Singal

An extension of the Standard Model by extra scalar singlets was considered. Theoretical (unitarity, vacuum stability, triviality) and cosmological (dark matter relic abundance, direct detection experiments, constraints on dark matter…

High Energy Physics - Phenomenology · Physics 2013-10-14 Aleksandra Drozd , Bohdan Grzadkowski , Jose Wudka

Machine learning models are becoming increasingly popular in different types of settings. This is mainly caused by their ability to achieve a level of predictive performance that is hard to match by human experts in this new era of big…

Machine Learning · Computer Science 2021-09-20 Luis Torgo , Paulo Azevedo , Ines Areosa

The Physics Beyond Colliders initiative is an exploratory study aimed at exploiting the full scientific potential of the CERN's accelerator complex and scientific infrastructures through projects complementary to the LHC and other possible…

A brief account is given of the problems involved in extended the pinch technique beyond the one-loop level, and of investigations into one possible approach to solving them.

High Energy Physics - Phenomenology · Physics 2009-10-31 N. J. Watson

This is a broad and in part unconventional review of our current knowledge of fundamental physics, emphasizing the potential for advances the LHC will open up.

High Energy Physics - Phenomenology · Physics 2007-05-23 Frank Wilczek

The human visual system can spot an abnormal image, and reason about what makes it strange. This task has not received enough attention in computer vision. In this paper we study various types of atypicalities in images in a more…

Computer Vision and Pattern Recognition · Computer Science 2015-12-07 Babak Saleh , Ahmed Elgammal , Jacob Feldman , Ali Farhadi

Finding regions for which there is higher controversy among different classifiers is insightful with regards to the domain and our models. Such evaluation can falsify assumptions, assert some, or also, bring to the attention unknown…

Machine Learning · Computer Science 2018-08-23 Oren Zeev-Ben-Mordehai , Wouter Duivesteijn , Mykola Pechenizkiy

A widely used tool in the study of risk, insurance and extreme values is the mean excess plot. One use is for validating a generalized Pareto model for the excess distribution. This paper investigates some theoretical and practical aspects…

Probability · Mathematics 2010-06-03 Souvik Ghosh , Sidney I Resnick

Extra dimensions provide a very useful tool in addressing a number of the fundamental problems faced by the Standard Model. The following provides a very basic introduction to this very broad subject area as given at the VIII School of the…

High Energy Physics - Phenomenology · Physics 2014-11-20 Thomas G. Rizzo

Many current challenges involve understanding the complex dynamical interplay between the constituents of systems. Typically, the number of such constituents is high, but only limited data sources on them are available. Conventional…

Populations and Evolution · Quantitative Biology 2021-12-17 Jana C. Massing , Thilo Gross

I give an overview on models that extend the Standard Model scalar sector by additional gauge singlets or multiplets. I discuss current constraints on such models, as well as possible signatures and discovery prospects at current and future…

High Energy Physics - Phenomenology · Physics 2022-05-16 Tania Robens

A new physics program has been initiated as part of the ongoing LHC physics run in the far-forward region, where dedicated FASER and SND@LHC experiments are currently taking data. We discuss the possible discovery prospects of this program…

High Energy Physics - Phenomenology · Physics 2023-05-16 Sebastian Trojanowski

We review the landscape of QCD axion models. Theoretical constructions that extend the window for the axion mass and couplings beyond conventional regions are highlighted and classified. Bounds from cosmology, astrophysics and experimental…

High Energy Physics - Phenomenology · Physics 2022-06-08 Luca Di Luzio , Maurizio Giannotti , Enrico Nardi , Luca Visinelli

Model uncertainty is a crucial issue in statistics, econometrics and machine learning, yet its definition remains ambiguous and is subject to various interpretations in the literature. So far, there has not been a universally accepted…

Methodology · Statistics 2025-08-12 Guangyuan Cui , Yuting Wei , Xinyu Zhang

After a quick tour through the present status of the Standard Model, an attempt is made to set up a framework to discuss some presently available exotica, including $R_b$ and the CDF $ee\gamma\gamma+E_T\hskip-13pt/\ $ ``event."…

High Energy Physics - Phenomenology · Physics 2007-05-23 D. Nanopoulos

The emergent phenomena of large foundation models have revolutionized natural language processing. However, evaluating these models presents significant challenges due to their size, capabilities, and deployment across diverse applications.…

Computation and Language · Computer Science 2025-02-17 Jiayi Yuan , Jiamu Zhang , Andrew Wen , Xia Hu