Charm and beauty quark masses in the MMHT2014 global PDF analysis.

Eur Phys J C Part Fields

Department of Physics and Astronomy, University College London, London, WC1E 6BT UK.

Published: January 2016

We investigate the variation in the MMHT2014 PDFs when we allow the heavy-quark masses [Formula: see text] and [Formula: see text] to vary away from their default values. We make PDF sets available in steps of [Formula: see text] and [Formula: see text], and present the variation in the PDFs and in the predictions. We examine the comparison to the HERA data on charm and beauty structure functions and note that in each case the heavy-quark data, and the inclusive data, have a slight preference for lower masses than our default values. We provide PDF sets with three and four active quark flavours, as well as the standard value of five flavours. We use the pole mass definition of the quark masses, as in the default MMHT2014 analysis, but briefly comment on the [Formula: see text] definition.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732635PMC
http://dx.doi.org/10.1140/epjc/s10052-015-3843-5DOI Listing

Publication Analysis

Top Keywords

[formula text]
20
charm beauty
8
quark masses
8
text] [formula
8
default values
8
pdf sets
8
masses default
8
[formula
5
text]
5
beauty quark
4

Similar Publications

With careful design and integration, microring resonators can serve as a promising foundation for developing compact and scalable sources of non-classical light for quantum information processing. However, the current design flow is hindered by computational challenges and a complex, high-dimensional parameter space with interdependent variables. In this work, we present a knowledge-integrated machine learning framework based on Bayesian Optimization for designing squeezed light sources using microring resonators.

View Article and Find Full Text PDF

Ultra-large nonlinear parameters and all-optical modulation of a transition metal dichalcogenides on silicon waveguide.

Sci Rep

January 2025

MOE Key Laboratory of Laser Life Science, Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, 510631, China.

We integrate monolayer TMDCs into silicon-on-insulation (SOI) waveguides and dielectric-loaded surface plasmon polariton (DLSPP) waveguides to enhance nonlinear parameters (γ) of silicon-based waveguides. By optimizing the waveguide geometry, we have achieved significantly improved γ. In MoSe-on-SOI and MoSe-in-DLSPP waveguide with optimized geometry, the maximum γ at the excitonic resonant peak (λ) is 5001.

View Article and Find Full Text PDF

Investigating skyrmion stability and core polarity reversal in NdMnGe.

Sci Rep

January 2025

Laboratory for Mesoscopic Systems, Department of Materials, ETH Zurich, 8093, Zurich, Switzerland.

We present a study on nanoscale skyrmionic spin textures in [Formula: see text], a rare-earth complex noncollinear ferromagnet. We confirm, using X-ray microscopy, that [Formula: see text] can host lattices of metastable skyrmion bubbles at room temperature in the absence of a magnetic field, after applying a suitable field cooling protocol. The skyrmion bubbles are robust against temperature changes from room temperature to 330 K.

View Article and Find Full Text PDF

Agriculture is a major contributor to global greenhouse gas emissions, highlighting the urgent need for effective carbon reduction strategies. This study presents an innovative integrated model that employs Fermatean Neutrosophic Set in conjunction with the Weighted Influence Nonlinear Gauge System and the Analytic Hierarchy Process combined with the Entropy Weight Method to assess key factors influencing agricultural carbon reduction. Our study delineates the hierarchical importance of factors influencing carbon emissions, with carbon emission reduction policy (τ4) emerging as the paramount factor, attributed a value of 0.

View Article and Find Full Text PDF

Land resources are vital for urban development and construction. Abandoned industrial areas often contain large amounts of heavy metals from past industrial activities. Accurate knowledge of soil pollutant content and spatial distribution is crucial to avoid health risks and achieve sustainable soil use.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!