Machine learning and the physical sciences
Machine learning (ML) encompasses a broad range of algorithms and modeling tools used
for a vast array of data processing tasks, which has entered most scientific disciplines in …
for a vast array of data processing tasks, which has entered most scientific disciplines in …
Heavy-flavour and quarkonium production in the LHC era: from proton–proton to heavy-ion collisions
A Andronic, F Arleo, R Arnaldi, A Beraudo… - The European Physical …, 2016 - Springer
This report reviews the study of open heavy-flavour and quarkonium production in high-
energy hadronic collisions, as tools to investigate fundamental aspects of Quantum …
energy hadronic collisions, as tools to investigate fundamental aspects of Quantum …
Parton distributions for the LHC Run II
A bstract We present NNPDF3. 0, the first set of parton distribution functions (PDFs)
determined with a methodology validated by a closure test. NNPDF3. 0 uses a global …
determined with a methodology validated by a closure test. NNPDF3. 0 uses a global …
The path to proton structure at 1% accuracy: NNPDF Collaboration
We present a new set of parton distribution functions (PDFs) based on a fully global dataset
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …
Parton distributions with LHC data
We present the first determination of parton distributions of the nucleon at NLO and NNLO
based on a global data set which includes LHC data: NNPDF2. 3. Our data set includes …
based on a global data set which includes LHC data: NNPDF2. 3. Our data set includes …
[PDF][PDF] The path to proton structure at 1% accuracy
We present a new set of parton distribution functions (PDFs) based on a fully global dataset
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …
Exploring QCD matter in extreme conditions with Machine Learning
In recent years, machine learning has emerged as a powerful computational tool and novel
problem-solving perspective for physics, offering new avenues for studying strongly …
problem-solving perspective for physics, offering new avenues for studying strongly …
[HTML][HTML] 50 Years of quantum chromodynamics: Introduction and Review
Quantum Chromodynamics, the theory of quarks and gluons, whose interactions can be
described by a local SU (3) gauge symmetry with charges called “color quantum numbers” …
described by a local SU (3) gauge symmetry with charges called “color quantum numbers” …
Impact of heavy quark masses on parton distributions and LHC phenomenology
We present a determination of the parton distributions of the nucleon from a global set of
hard scattering data using the NNPDF methodology including heavy quark mass effects …
hard scattering data using the NNPDF methodology including heavy quark mass effects …
Snowmass 2021 whitepaper: Proton structure at the precision frontier
An overwhelming number of theoretical predictions for hadron colliders require parton
distribution functions (PDFs), which are an important ingredient of theory infrastructure for …
distribution functions (PDFs), which are an important ingredient of theory infrastructure for …