☆ 4.6 Article

Complete predictions for high-energy neutrino propagation in matter

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2020)

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JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
卷 -, 期 9, 页码 -

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IOP PUBLISHING LTD
DOI: 10.1088/1475-7516/2020/09/025

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neutrino astronomy; neutrino detectors; neutrino experiments

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Astronomy & Astrophysics Physics, Particles & Fields

资金

  1. Dutch Organisation for Scientific Research (NWO) through VENI grant [680-47-461]
  2. European Research Council
  3. NWO

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We present predictions for the interactions of energetic neutrinos with matter as they propagate through Earth towards large-volume detectors. Our results are based on state-of-the-art calculations of the high-energy neutrino-matter interaction cross-sections, which we have implemented in the HEDIS module of GENIE. In addition to the dominant interaction process, deep inelastic scattering off quarks and gluons, we include the relevant subdominant channels: (in)elastic scattering off the photon field of nucleons, coherent scattering off the photon field of nuclei, as well as the scattering on atomic electrons via the Glashow resonance. Our predictions for the neutrino attenuation rates are provided by a new software package, NuPropEarth. We quantify the dependence of our results on the cross-section model, including nuclear corrections, the incidence angle, and the spectral index, and compare them with other publicly available tools.

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The top quark legacy of the LHC Run II for PDF and SMEFT analyses

Zahari Kassabov, Maeve Madigan, Luca Mantani, James Moore, Manuel Morales Alvarado, Juan Rojo, Maria Ubiali

Summary: This study assesses the impact of top quark production at the LHC on global analyses of parton distributions (PDFs) and Wilson coefficients in the SMEFT, both separately and in a joint interpretation. The study uses the broadest top quark dataset to date, including all available measurements based on the full Run II luminosity. The research determines constraints on the large-x gluon PDF and evaluates its consistency with other gluon-sensitive measurements. It also carries out a SMEFT interpretation of the dataset, resulting in bounds on 25 Wilson coefficients modifying top quark interactions.

JOURNAL OF HIGH ENERGY PHYSICS (2023)

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Article Physics, Multidisciplinary

Machine learning and LHC event generation

Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Goncalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Hoche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janssen, Stefan Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kroeninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winerhalder, Jure Zupan

Summary: First-principle simulations play a crucial role in high-energy physics research, connecting the data output of multipurpose detectors with fundamental theory predictions. This review demonstrates the various applications of modern machine learning in event generation and simulation-based inference, showing conceptual developments driven by the specific requirements of particle physics. The development of new ideas and tools at the interface of particle physics and machine learning will improve the speed and precision of forward simulations, handle the complexity of collision data, and enhance inference as an inverse simulation problem.

SCIPOST PHYSICS (2023)

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Article Astronomy & Astrophysics

Probing quantum gravity with elastic interactions of ultrahigh-energy neutrinos

A. Garcia-Soto, D. Garg, M. H. Reno, C. A. Arguelles

Summary: The next generation of radio telescopes will detect low-scale quantum gravity by measuring ultrahigh-energy neutrinos. The study shows that neutrino-nucleon soft interactions induced by TeV-scale gravity will significantly increase the number of events detected by the IceCube-Gen2 radio array in the EeV energy range. However, the total cross section cannot be measured solely using the angular and energy information of the neutrino flux without making assumptions about the underlying inelasticity distribution of neutral interactions.

PHYSICAL REVIEW D (2023)

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Article Physics, Particles & Fields

SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories

Tommaso Giani, Giacomo Magni, Juan Rojo

Summary: The Standard Model Effective Field Theory (SMEFT) is a robust framework for interpreting experimental measurements without making assumptions about the underlying UV-complete theory. In this study, the Python open source SMEFiT framework is introduced for parameter inference and global analysis of particle physics data in the SMEFT. SMEFiT allows for inference problems with a large number of EFT degrees of freedom, unrestricted functional dependence in the fitted observables, inclusion of UV-inspired restrictions in the parameter space, and arbitrary rotations between operator bases. Posterior distributions are determined using Nested Sampling and Monte Carlo optimization. SMEFiT provides documentation, tutorials, and post-analysis reporting tools and can be used for state-of-the-art EFT fits of Higgs, top quark, and electroweak production data. The results of the recent ATLAS EFT interpretation of Higgs and electroweak data from Run II are reproduced to illustrate the functionalities, showing that equivalent results are obtained in two different operator bases.

EUROPEAN PHYSICAL JOURNAL C (2023)

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Article Microscopy

Edge-induced excitations in Bi2Te3 from spatially-resolved electron energy-gain spectroscopy

Helena La, Abel Brokkelkamp, Stijn van der Lippe, Jaco ter Hoeve, Juan Rojo, Sonia Conesa-Boj

Summary: Among the potential applications of topological insulator materials, the development of tunable plasmonics at THz and mid-infrared frequencies for quantum computing, terahertz detectors, and spintronic devices is particularly attractive. However, understanding the relationship between nanoscale crystal structure and the properties of plasmonic resonances remains elusive. In this study, energy-gain EELS analysis was used to characterize collective excitations in the topological insulator material Bi2Te3 and correlate them with the underlying crystalline structure. The findings demonstrate the potential of energy-gain EELS analysis in accurately mapping collective excitations in quantum materials, which is crucial for the development of new tunable plasmonic devices.

ULTRAMICROSCOPY (2023)

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