Search Results for author: Juan Rojo

Found 9 papers, 5 papers with code

Charting the low-loss region in Electron Energy Loss Spectroscopy with machine learning

no code implementations10 Sep 2020 Laurien I. Roest, Sabrya E. van Heijst, Louis Maduro, Juan Rojo, Sonia Conesa-Boj

Exploiting the information provided by electron energy-loss spectroscopy (EELS) requires reliable access to the low-loss region where the zero-loss peak (ZLP) often overwhelms the contributions associated to inelastic scatterings off the specimen.

Materials Science High Energy Physics - Phenomenology

The Strangest Proton?

1 code implementation31 Aug 2020 Ferran Faura, Shayan Iranipour, Emanuele R. Nocera, Juan Rojo, Maria Ubiali

We present an improved determination of the strange quark and anti-quark parton distribution functions of the proton by means of a global QCD analysis that takes into account a comprehensive set of strangeness-sensitive measurements: charm-tagged cross sections for fixed-target neutrino-nucleus deep-inelastic scattering, and cross sections for inclusive gauge-boson production and $W$-boson production in association with light jets or charm quarks at hadron colliders.

High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Lattice Nuclear Theory

Complete predictions for high-energy neutrino propagation in matter

1 code implementation9 Apr 2020 Alfonso Garcia, Rhorry Gauld, Aart Heijboer, Juan Rojo

We present predictions for the interactions of energetic neutrinos with matter as they propagate through Earth towards large-volume detectors.

High Energy Physics - Phenomenology High Energy Astrophysical Phenomena

Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2

no code implementations17 Mar 2020 Waleed Abdallah, Shehu AbdusSalam, Azar Ahmadov, Amine Ahriche, Gaël Alguero, Benjamin C. Allanach, Jack Y. Araz, Alexandre Arbey, Chiara Arina, Peter Athron, Emanuele Bagnaschi, Yang Bai, Michael J. Baker, Csaba Balazs, Daniele Barducci, Philip Bechtle, Aoife Bharucha, Andy Buckley, Jonathan Butterworth, Haiying Cai, Claudio Campagnari, Cari Cesarotti, Marcin Chrzaszcz, Andrea Coccaro, Eric Conte, Jonathan M. Cornell, Louie Dartmoor Corpe, Matthias Danninger, Luc Darmé, Aldo Deandrea, Nishita Desai, Barry Dillon, Caterina Doglioni, Juhi Dutta, John R. Ellis, Sebastian Ellis, Farida Fassi, Matthew Feickert, Nicolas Fernandez, Sylvain Fichet, Jernej F. Kamenik, Thomas Flacke, Benjamin Fuks, Achim Geiser, Marie-Hélène Genest, Akshay Ghalsasi, Tomas Gonzalo, Mark Goodsell, Stefania Gori, Philippe Gras, Admir Greljo, Diego Guadagnoli, Sven Heinemeyer, Lukas A. Heinrich, Jan Heisig, Deog Ki Hong, Tetiana Hryn'ova, Katri Huitu, Philip Ilten, Ahmed Ismail, Adil Jueid, Felix Kahlhoefer, Jan Kalinowski, Deepak Kar, Yevgeny Kats, Charanjit K. Khosa, Valeri Khoze, Tobias Klingl, Pyungwon Ko, Kyoungchul Kong, Wojciech Kotlarski, Michael Krämer, Sabine Kraml, Suchita Kulkarni, Anders Kvellestad, Clemens Lange, Kati Lassila-Perini, Seung J. Lee, Andre Lessa, Zhen Liu, Lara Lloret Iglesias, Jeanette M. Lorenz, Danika MacDonell, Farvah Mahmoudi, Judita Mamuzic, Andrea C. Marini, Pete Markowitz, Pablo Martinez Ruiz del Arbol, David Miller, Vasiliki Mitsou, Stefano Moretti, Marco Nardecchia, Siavash Neshatpour, Dao Thi Nhung, Per Osland, Patrick H. Owen, Orlando Panella, Alexander Pankov, Myeonghun Park, Werner Porod, Darren Price, Harrison Prosper, Are Raklev, Jürgen Reuter, Humberto Reyes-González, Thomas Rizzo, Tania Robens, Juan Rojo, Janusz A. Rosiek, Oleg Ruchayskiy, Veronica Sanz, Kai Schmidt-Hoberg, Pat Scott, Sezen Sekmen, Dipan Sengupta, Elizabeth Sexton-Kennedy, Hua-Sheng Shao, Seodong Shin, Luca Silvestrini, Ritesh Singh, Sukanya Sinha, Jory Sonneveld, Yotam Soreq, Giordon H. Stark, Tim Stefaniak, Jesse Thaler, Riccardo Torre, Emilio Torrente-Lujan, Gokhan Unel, Natascia Vignaroli, Wolfgang Waltenberger, Nicholas Wardle, Graeme Watt, Georg Weiglein, Martin J. White, Sophie L. Williamson, Jonas Wittbrodt, Lei Wu, Stefan Wunsch, Tevong You, Yang Zhang, José Zurita

We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Specialized minimal PDFs for optimized LHC calculations

1 code implementation29 Jan 2016 Stefano Carrazza, Stefano Forte, Zahari Kassabov, Juan Rojo

We present a methodology for the construction of parton distribution functions (PDFs) designed to provide an accurate representation of PDF uncertainties for specific processes or classes of processes with a minimal number of PDF error sets: specialized minimal PDF sets, or SM-PDFs.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Doped Parton Distributions

no code implementations14 Sep 2015 Valerio Bertone, Stefano Carrazza, Juan Rojo

Calculations of high-energy processes involving the production of b-quarks are typically performed in two different ways, the massive four-flavour scheme (4FS) and the massless five-flavour scheme (5FS).

High Energy Physics - Phenomenology High Energy Physics - Experiment

APFEL Web: a web-based application for the graphical visualization of parton distribution functions

1 code implementation20 Oct 2014 Stefano Carrazza, Alfio Ferrara, Daniele Palazzo, Juan Rojo

We present APFEL Web, a web-based application designed to provide a flexible user-friendly tool for the graphical visualization of parton distribution functions (PDFs).

High Energy Physics - Phenomenology High Energy Physics - Experiment

Parton distributions with LHC data

no code implementations5 Jul 2012 Richard D. Ball, Valerio Bertone, Stefano Carrazza, Christopher S. Deans, Luigi Del Debbio, Stefano Forte, Alberto Guffanti, Nathan P. Hartland, Jose I. Latorre, Juan Rojo, Maria Ubiali

We present the NNPDF2. 3 PDF sets, and compare them to the NNPDF2. 1 sets to assess the impact of the LHC data.

High Energy Physics - Phenomenology

A Higher Order Perturbative Parton Evolution Toolkit (HOPPET)

1 code implementation23 Apr 2008 Gavin P. Salam, Juan Rojo

This document describes a Fortran 95 package for carrying out DGLAP evolution and other common manipulations of parton distribution functions (PDFs).

High Energy Physics - Phenomenology

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