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Related papers: Exclusive final states in the Dipole Model

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Recently the H1 and ZEUS collaborations have presented cross sections for DIS events with a forward jet. The BFKL formalism is able to produce an excellent fit to these data. The extracted intercept of the hard pomeron suggests that when…

High Energy Physics - Phenomenology · Physics 2009-10-31 J. G. Contreras

Using recently developed techniques for computing event shapes with Soft-Collinear Effective Theory, LEP event shape data is used to derive strong model-independent bounds on new colored particles. In the effective field theory computation,…

High Energy Physics - Phenomenology · Physics 2008-11-26 David E. Kaplan , Matthew D. Schwartz

We determine an approximate expression for the O(alpha_s^3) contribution chi_2 to the kernel of the BFKL equation, which includes all collinear and anticollinear singular contributions. This is derived using recent results on the relation…

High Energy Physics - Phenomenology · Physics 2010-03-25 Simone Marzani , Richard D. Ball , Pietro Falgari , Stefano Forte

For the first time, a next-to-leading BFKL study of the cross section and azimuthal decorrellation of Mueller Navelet jets is performed, i.e. including next-to-leading corrections to the Green's function as well as next-to-leading…

High Energy Physics - Phenomenology · Physics 2010-11-19 D. Colferai , F. Schwennsen , L. Szymanowski , S. Wallon

We propose the inclusive hadroproduction of a heavy-light dijet system, as a new channel for the investigation of high energy QCD. We build up a hybrid factorization that incorporates a partial next-to-leading BFKL resummation inside the…

High Energy Physics - Phenomenology · Physics 2022-08-15 Andrèe Dafne Bolognino , Francesco Giovanni Celiberto , Michael Fucilla , Dmitry Yu. Ivanov , Alessandro Papa

We address the problem of output prediction, ie. designing a model for autonomous nonlinear systems capable of forecasting their future observations. We first define a general framework bringing together the necessary properties for the…

Machine Learning · Computer Science 2022-06-30 Steeven Janny , Vincent Andrieu , Madiha Nadri , Christian Wolf

The basic concepts relevant for the theoretical description of deep inelastic scattering within the QCD improved parton model are introduced. Recent developments in low $x$ DIS and in deep inelastic diffraction are briefly summarised. This…

High Energy Physics - Phenomenology · Physics 2007-05-23 J. Kwiecinski

The production of a pair of jets with large rapidity separation in hadron-hadron collisions, and of forward jets in deep inelastic scattering, can in principle be used to test the predictions of the BFKL equation. However in practice…

High Energy Physics - Phenomenology · Physics 2007-05-23 Lynne H. Orr , W. J. Stirling

Federated continual learning (FCL) has garnered increasing attention for its ability to support distributed computation in environments with evolving data distributions. However, the emergence of new tasks introduces both temporal and…

Machine Learning · Computer Science 2025-09-30 Danni Yang , Zhikang Chen , Sen Cui , Mengyue Yang , Ding Li , Abudukelimu Wuerkaixi , Haoxuan Li , Jinke Ren , Mingming Gong

The class of semi-hard reactions represents a promising venue where to enhance our knowledge of strong interactions and deepen the aspects related to this theory in kinematical regimes so far unexplored. In particular, the high energies…

High Energy Physics - Phenomenology · Physics 2021-09-08 Andrèe Dafne Bolognino

We study the sea quark contribution to the BFKL kernel in the framework of Mueller's dipole model using the results of our earlier calculation. We first obtain the BFKL equation with the running coupling constant. We observe that the…

High Energy Physics - Phenomenology · Physics 2008-11-26 Yuri V. Kovchegov , Heribert Weigert

Probabilistic modeling of multidimensional spatiotemporal data is critical to many real-world applications. As real-world spatiotemporal data often exhibits complex dependencies that are nonstationary and nonseparable, developing effective…

Machine Learning · Statistics 2023-06-01 Mengying Lei , Aurelie Labbe , Lijun Sun

A novel method for distributed estimation of the frequency of power systems is introduced based on the cooperation between multiple measurement nodes. The proposed distributed widely linear complex Kalman filter (D-ACKF) and the distributed…

Systems and Control · Computer Science 2014-10-03 Sithan Kanna , Dahir H. Dini , Yili Xia , Ron Hui , Danilo P. Mandic

We discuss exclusive vector meson electroproduction within the QCD collinear factorization framework. In Bjorken kinematics the amplitude factorizes in a convolution of the nonperturbative meson distribution amplitude and the generalized…

High Energy Physics - Phenomenology · Physics 2007-12-20 D. Yu. Ivanov

We study the total cross section for the collision of two highly-virtual photons at large energies, taking into account the BFKL resummation of energy logarithms with full next-to-leading accuracy. A necessary ingredient of the calculation,…

High Energy Physics - Phenomenology · Physics 2015-06-22 Dmitry Yu. Ivanov , Beatrice Murdaca , Alessandro Papa

We present ProbHardE2E, a probabilistic forecasting framework that incorporates hard operational/physical constraints, and provides uncertainty quantification. Our methodology uses a novel differentiable probabilistic projection layer…

Machine Learning · Computer Science 2025-11-05 Utkarsh Utkarsh , Danielle C. Maddix , Ruijun Ma , Michael W. Mahoney , Yuyang Wang

Here, we introduce a new class of Lindley generated distributions which results in more flexible model with increasing failure rate (IFR), decreasing failure rate(DFR) and up-side down hazard functions for different choices of parametric…

Statistics Theory · Mathematics 2016-01-07 Deepesh Bhati , Mohd. Aamir Malik , K. K. Jose

Nonlinear dynamical systems with time delay are abundant in applications, but are notoriously difficult to analyse and predict because delay-induced effects strongly depend on the form of the nonlinearities involved, and on the exact way…

Chaotic Dynamics · Physics 2021-11-03 Natalia B. Janson , Christopher J. Marsden

The next-to-leading order (NLO) corrections to the BFKL equation in the BLM optimal scale setting are briefly discussed. A striking feature of the BLM approach is rather weak Q^2-dependence of the Pomeron intercept, which might indicate an…

High Energy Physics - Phenomenology · Physics 2016-11-23 Victor T. Kim , Lev N. Lipatov , Grigorii B. Pivovarov

The ``non-Abelian'' part of the quark contribution to the BFKL kernel in the next-to-leading order (NLO) is found in the coordinate representation by direct transfer of the contribution from the momentum representation where it was…

High Energy Physics - Phenomenology · Physics 2008-11-26 Victor S. Fadin , Roberto Fiore , Alessandro Papa