Publications (11)
Accessing pion GPDs through the Sullivan process: is it feasible?
Jose Manuel Morgado Chávez, Valerio Bertone, Maxime Defurne +5
Describing hadronic structure is one of the most intriguing problems in physics. In this respect, generalized parton distributions (GPDs) constitute an outstanding tool, allowing t…
Sim-to-Real Domain Adaptation For High Energy Physics
Marouen Baalouch, Maxime Defurne, Jean-Philippe Poli +1
Particle physics or High Energy Physics (HEP) studies the elementary constituents of matter and their interactions with each other. Machine Learning (ML) has played an important ro…
Partonic Structure of Light Nuclei
Whitney Armstrong, John Arrington, Ian Cloet +45
We propose to study the partonic structure of He by measuring the Beam Spin Asymmetry (BSA) in coherent Deeply Virtual Compton Scattering (DVCS) and the differential cross-sect…
The Recoil Proton Polarization: a new discriminative DVCS observable
Olga Bessidskaia Bylund, Maxime Defurne, Pierre A. M. Guichon
Generalized parton distributions describe the correlations between the longitudinal momentum and the transverse position of quarks and gluons in a nucleon. They can be constrained…
Pion GPDs: A path toward phenomenology
José Manuel Morgado Chavez, Valerio Bertone, Feliciano De Soto Borrero +5
We introduce a new family of Generalised Parton Distribution models able to fulfil by construction all the theoretical properties imposed by QCD. These models are built on standard…
New JLab/Hall A Deeply Virtual Compton Scattering results
Maxime Defurne
New data points for unpolarized Deeply Virtual Compton Scattering cross sections have been extracted from the E00-110 experiment at Q=1.9 GeV effectively doubling the stati…
A pair polarimeter for multi-GeV -rays
Maxime Defurne, Arthur Muhulet
Accessing the polarization of photon allows to understand the mechanisms behind its emission or scattering, revealing much about a peculiar environment or a probed object. For ener…
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne +1
A good feature representation is a determinant factor to achieve high performance for many machine learning algorithms in terms of classification. This is especially true for techn…
Spectator-Tagged Deeply Virtual Compton Scattering on Light Nuclei
Whitney Armstrong, John Arrington, Ian Cloët +53
The three-dimensional picture of quarks and gluons in the proton is set to be revealed through Deeply virtual Compton scattering while a critically important puzzle in the one-dime…
Tagged EMC Measurements on Light Nuclei
Whitney Armstrong, John Arrington, Ian Cloet +50
We propose to measure tagged deep inelastic scattering from light nuclei (deuterium and He) by detecting the low energy nuclear spectator recoil (p, H and He) in additi…
Embedded Constrained Feature Construction for High-Energy Physics Data Classification
Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli +1
Before any publication, data analysis of high-energy physics experiments must be validated. This validation is granted only if a perfect understanding of the data and the analysis…