Explanipedia

Robot-relay: building-wide, calibration-less visual servoing with learned sensor handover networks Open

Luke Robinson, P. R. Newman, Daniele De Martini · 2025

This paper proposes a novel system to conduct visual servoing of a mobile robot using multiple uncalibrated, wall-mounted cameras. Specifically, we utilise a constellation of such sensors to cover a wide area by allowing robot control to b…

The Large Hadron electron Collider as a bridge project for CERN Open

Fazila Ahmadova, K. D. J. André, N. Armesto, G. Azuelos, O Behnke , et al. · 2025

The LHeC is the project for delivering electron-nucleon collisions at CERN using the HL-LHC beams. An Energy Recovery Linac in racetrack configuration will provide 50 GeV electrons to achieve centre-of-mass energies around 1 TeV/nucleon an…

Prospects for measurements of the longitudinal proton structure function at the Electron Ion Collider Open

Javier Jiménez-López, P. R. Newman, Katarzyna Wichmann · 2025

We explore the potential for extracting the longitudinal proton structure function FL at the future Electron Ion Collider (EIC) through a Rosenbluth separation method. The impacts of differing assumptions on sample sizes, systematic uncert…

<i>Bayesian Radar Cosplace</i> : Directly estimating location uncertainty in radar place recognition Open

Suyash Agarwal, Jianhao Yuan, P. R. Newman, Daniele De Martini, Matthew Gadd · 2025

Trust and explainability in localisation systems can be greatly helped by estimating a calibrated uncertainty. In this work, we argue for the first time that for this, it is best to express uncertainty in the location estimate directly rat…

Extracting the partonic structure of colorless exchanges in diffraction at the EIC Open

Anna Staśto, N. Armesto, P. R. Newman, W. Słomiński · 2024

Prospects for measurements of the longitudinal proton structure function $F_L$ at the Electron Ion Collider Open

J. Jiménez-López, P. R. Newman, Katarzyna Wichmann · 2024

We explore the potential for extracting the longitudinal proton structure function $F_{L}$ at the future Electron-Ion Collider (EIC) through a Rosenbluth separation method. The impacts of differing assumptions on sample sizes, systematic u…

Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA Open

V. Andreev, M. Arratia, A. Baghdasaryan, A. Baty, K. Begzsuren , et al. · 2024

In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse momentum of the lepton-jet system, $\lvert \vec{P}_\perp \r…

Extracting the partonic structure of colorless exchanges at the Electron Ion Collider Open

N. Armesto, P. R. Newman, W. Słomiński, Anna Staśto · 2024

We investigate the determination of the partonic structure of colorless exchanges in deep inelastic diffractive ep scattering at the Electron Ion Collider (EIC), using the standard decomposition into Pomeron and Reggeon contributions. We p…

Measurement of the 1-jettiness event shape observable in deep-inelastic electron-proton scattering at HERA Open

V. Andreev, M. Arratia, A. Baghdasaryan, Austin Baty, K. Begzsuren , et al. · 2024

The H1 Collaboration reports the first measurement of the 1-jettiness event shape observable $$\tau _1^b$$ in neutral-current deep-inelastic electron-proton scattering (DIS). The observable $$\tau _1^b$$ is equivalent to a thrust…

Extraction of the strong coupling with HERA and EIC inclusive data Open

Z. S. Demiroglu, S. Cerci, A. Deshpande, P. R. Newman, Barak Schmookler , et al. · 2024

We present a study of the investigation into the sensitivity of the strong coupling $\alpha_S(M^2_Z)$ using existing Deep Inelastic Scattering data from HERA and anticipated future measurements from the Electron Ion Collider (EIC) in a nex…

Measurement of groomed event shape observables in deep-inelastic electron-proton scattering at HERA Open

V. Andreev, M. Arratia, A. Baghdasaryan, A. Baty, K. Begzsuren , et al. · 2024

The H1 Collaboration at HERA reports the first measurement of groomed event shape observables in deep inelastic electron-proton scattering (DIS) at $$\sqrt{s} =319~$$ GeV, using data recorded between the years 2003 and 2007 with an i…

Observation and differential cross section measurement of neutral current DIS events with an empty hemisphere in the Breit frame Open

V. Andreev, M. Arratia, A. Baghdasaryan, Austin Baty, K. Begzsuren , et al. · 2024

Extracting the partonic structure of colorless exchanges at the Electron Ion Collider Open

N. Armesto, P. R. Newman, W. Słomiński, Anna Staśto · 2024

We investigate the determination of the partonic structure of colorless exchanges in deep inelastic diffractive $ep$ scattering at the Electron Ion Collider, using the standard decomposition into Pomeron and Reggeon contributions. We perfo…

VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition Open

Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, P. R. Newman · 2024

This paper adapts a general dataset representation technique to produce robust Visual Place Recognition (VPR) descriptors, crucial to enable real-world mobile robot localisation. Two parallel lines of work on VPR have shown, on one side, t…

Impact of inclusive electron ion collider data on collinear parton distributions Open

N. Armesto, T. Cridge, F. Giuli, L. A. Harland-Lang, P. R. Newman , et al. · 2024

A study is presented of the impact of updated simulated inclusive electron ion collider deep inelastic scattering data on the determination of the proton and nuclear parton distribution functions (PDFs) at next-to-next-to-leading and next-…

Measurement of the 1-jettiness event shape observable in deep-inelastic electron-proton scattering at HERA Open

the Hall A Collaboration, Vladimir Andreev, M. Arratia, A. Baghdasaryan, A. Baty , et al. · 2024

The H1 Collaboration reports the first measurement of the 1-jettiness event shape observable $\tau _1^b$ in neutral-current deep-inelastic electron-proton scattering (DIS). The observable $\tau _1^b$ is equivalent to a thrust observable de…

Observation and differential cross section measurement of neutral current DIS events with an empty hemisphere in the Breit frame Open

V. Andreev, M. Arratia, A. Baghdasaryan, A. Baty, K. Begzsuren , et al. · 2024

The Breit frame provides a natural frame to analyze lepton--proton scattering events. In this reference frame, the parton model hard interactions between a quark and an exchanged boson defines the coordinate system such that the struck qua…

Extraction of the strong coupling with HERA and EIC inclusive data Open

S. Cerci, Z. S. Demiroglu, A. Deshpande, P. R. Newman, Barak Schmookler , et al. · 2023

What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation Open

Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, P. R. Newman · 2023

Recalling the most relevant visual memories for localisation or understanding a priori the likely outcome of localisation effort against a particular visual memory is useful for efficient and robust visual navigation. Solutions to this pro…

Impact of Inclusive Electron Ion Collider Data on Collinear Parton Distributions Open

N. Armesto, T. Cridge, F. Giuli, L. A. Harland-Lang, P. R. Newman , et al. · 2023

A study is presented of the impact of simulated inclusive Electron Ion Collider Deep Inelastic Scattering data on the determination of the proton and nuclear parton distribution functions (PDFs) at next-to-next-to-leading and next-to-leadi…

Doppler-aware Odometry from FMCW Scanning Radar Open

Fraser Rennie, David Williams, P. R. Newman, Daniele De Martini · 2023

This work explores Doppler information from a millimetre-Wave (mm-W) Frequency-Modulated Continuous-Wave (FMCW) scanning radar to make odometry estimation more robust and accurate. Firstly, doppler information is added to the scan masking …

Unbinned deep learning jet substructure measurement in high Q2 ep collisions at HERA Open

V. Andreev, M. Arratia, A. Baghdasaryan, A. Baty, K. Begzsuren , et al. · 2023

Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations Open

Benjamin Ramtoula, Matthew Gadd, P. R. Newman, Daniele De Martini · 2023

Selecting appropriate datasets is critical in modern computer vision. However, no general-purpose tools exist to evaluate the extent to which two datasets differ. For this, we propose representing images - and by extension datasets - using…

Extraction of the strong coupling with HERA and EIC inclusive data Open

S. Cerci, Z. S. Demiroglu, A. Deshpande, P. R. Newman, Barak Schmookler , et al. · 2023

Sensitivity to the strong coupling $\alpha _S(M^2_Z)$ is investigated using existing Deep Inelastic Scattering data from HERA in combination with projected future measurements from the Electron Ion Collider (EIC) in a next-to-next-to-leadi…

Sloan digital sky survey multicolor observations of GRB 010222 Open

Brian Lee, D. L. Tucker, D. E. vanden Berk, B. Yanny, D.E. Reichart , et al. · 2022

The discovery of an optical counterpart to GRB 010222 (detected by BeppoSAX) was announced 4.4 hr after the burst by Henden. The Sloan Digital Sky Survey's 0.5 m photometric telescope (PT) and 2.5 m survey telescope were used to observe th…

Diffractive longitudinal structure function at the Electron Ion Collider Open

N. Armesto, P. R. Newman, W. Słomiński, Anna Staśto · 2022

DIS2022 Conference presentation

BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR Open

Georgi Pramatarov, Daniele De Martini, Matthew Gadd, P. R. Newman · 2022

This paper is about extremely robust and lightweight localisation using LiDAR point clouds based on instance segmentation and graph matching. We model 3D point clouds as fully-connected graphs of semantically identified components where ea…

What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry Open

Roberto Aldera, Matthew Gadd, Daniele De Martini, P. R. Newman · 2022

This paper presents a method that leverages vehicle motion constraints to refine data associations in a point-based radar odometry system. By using the strong prior on how a non-holonomic robot is constrained to move smoothly through its e…

Measuring the stability of fundamental constants with a network of clocks Open

Giovanni Barontini, Laura Blackburn, Vincent Boyer, Filip Butuc-Mayer, Xavier Calmet , et al. · 2022

Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding Open

V. Andreev, M. Arratia, A. Baghdasaryan, Austin Baty, K. Begzsuren , et al. · 2022

The first measurement of lepton-jet momentum imbalance and azimuthal correlation in lepton-proton scattering at high momentum transfer is presented. These data, taken with the H1 de-tector at HERA, are corrected for detector effects using …

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