N. F. Castro
A5084442088- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Computational Physics and Python Applications
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Distributed and Parallel Computing Systems
- Black Holes and Theoretical Physics
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- Medical Imaging Techniques and Applications
- Advanced Data Storage Technologies
- Particle Accelerators and Free-Electron Lasers
- Atomic and Subatomic Physics Research
- advanced mathematical theories
- Microstructure and Mechanical Properties of Steels
- Magnetic Properties and Applications
- Muon and positron interactions and applications
- Superconducting Materials and Applications
- Time Series Analysis and Forecasting
- Algorithms and Data Compression
- Particle accelerators and beam dynamics
- Big Data Technologies and Applications
LIP - Laboratory of Instrumentation and Experimental Particle Physics
2016-2025
University of Minho
2015-2025
A. Alikhanyan National Laboratory
2024
Atlas Scientific (United States)
2024
Austral University of Chile
2024
The University of Adelaide
2014-2023
Centro Hospitalar Tondela-Viseu
2023
Instituto de Física Corpuscular
2019-2023
Universitat de València
2019-2023
Centro Tecnológico das Indústrias Têxtil e do Vestuário de Portugal
2023
This document is the final report of ATLAS-CMS Dark Matter Forum, a forum organized by ATLAS and CMS collaborations with participation experts on theories Matter, to select minimal basis set dark matter simplified models that should support design early LHC Run-2 searches. A prioritized, compact benchmark proposed, accompanied studies parameter space these repository generator implementations. also addresses how apply Effective Field Theory formalism for collider searches present results...
Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis the 1990s and 2000s, followed by explosion of event identification reconstruction 2010s. In this document we discuss promising future development areas machine a roadmap for their implementation, software hardware resource requirements, collaborative initiatives data science community, academia industry, training community science. The main objective connect...
Particle physics has an ambitious and broad experimental programme for the coming decades. This requires large investments in detector hardware, either to build new facilities experiments, or upgrade existing ones. Similarly, it commensurate investment R&D of software acquire, manage, process, analyse shear amounts data be recorded. In planning HL-LHC particular, is critical that all collaborating stakeholders agree on goals priorities, efforts complement each other. this spirit, white paper...
In this paper we propose a new strategy, based on anomaly detection methods, to search for physics phenomena at colliders independently of the details such events. For purpose, machine learning techniques are trained using Standard Model events, with corresponding outputs being sensitive beyond it. We explore three novel AD methods in HEP: Isolation Forest, Histogram Based Outlier Detection, and Deep Support Vector Data Description; alongside most customary Autoencoder. order evaluate...
Previous chapter Next Full AccessProceedings Proceedings of the 2010 SIAM International Conference on Data Mining (SDM)Multiresolution Motif Discovery in Time SeriesNuno Castro and Paulo AzevedoNuno Azevedopp.665 - 676Chapter DOI:https://doi.org/10.1137/1.9781611972801.73PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract series motif discovery is an important problem with applications a variety areas that range from telecommunications medicine....
The nature of b-quark jet hadronisation has been investigated using data taken at the Z peak by DELPHI detector LEP. Two complementary methods are used to reconstruct energy weakly decaying b-hadrons, $E_{\mathrm{B}}^{\mathrm{weak}}$ . average value $x^{\mathrm{weak}}_{\mathrm{B}} = E_{\mathrm{B}}^{\mathrm{weak}}/E_{\mathrm{beam}}$ is measured be 0.699±0.011. resulting $x^{\mathrm{weak}}_{\mathrm{B}}$ distribution then analysed in framework two choices for perturbative contribution (parton...
In this work we assess the transferability of deep learning models to detect beyond standard model signals. For trained neural networks on three different signal models: $tZ$ production via a flavor changing neutral current, pair vectorlike $T$-quarks gluon fusion and heavy decay in grid mass points: 1, 1.2 1.4 TeV. These were with $t\overline{t}$, $Z+\text{jets}$ dibosons as main backgrounds. Limits derived for each benchmark using inference independently, so that can quantify degradation...
This chapter of the "Flavor in era LHC" workshop report discusses flavor-related issues production and decays heavy states at LHC high momentum transfer Q, both from experimental theoretical perspective. We review top quark physics, discuss flavor aspects several extensions standard model, such as supersymmetry, little Higgs models or with extra dimensions. includes discovery aspects, well measurement properties these states. also present publicly available computational tools related to this topic.
A search for pair-produced doubly charged Higgs bosons has been performed using the data collected by DELPHI detector at LEP centre-of-mass energies between 189 and 209 GeV. No excess is observed in with respect to Standard Model background. lower limit mass of 97.3 GeV/c2 95% confidence level set left–right symmetric models any value Yukawa coupling τ leptons.
We study the sensitivity of ATLAS experiment to Wtb anomalous couplings in top pair production with semileptonic decay, pp -> t tbar W+ b W- bbar, one W bosons decaying leptonically and other hadronically. Several observables are examined, including helicity fractions new quantities recently introduced, such as ratios some angular asymmetries defined rest frame. The dependence on all these has been previously obtained. In this work we show that also have smaller systematic uncertainties...
Constraining beyond the Standard Model theories usually involves scanning highly multidimensional parameter spaces and checking observable predictions against experimental bounds theoretical constraints. Such a task is often timely computationally expensive, especially when model severely constrained thus leading to very low random sampling efficiency. In this work we tackled challenge using artificial intelligence machine learning search algorithms used for black-box optimization problems....
Single photons detected by the DELPHI experiment at LEP2 in years 1997–2000 are reanalysed to investigate existence of a single extra dimension modified ADD scenario with slightly warped large dimensions. The data collected centre-of-mass energies between 180 and 209 GeV for an integrated luminosity ∼650 pb−1 agree predictions Standard Model allow limit be set on graviton emission one dimension. obtained fundamental mass scale M D is 1.69 TeV/c 2 95% CL, expected 1.71 2.
We use the recent measurements of top quark decay asymmetries in ATLAS and $t$-channel single cross section CMS to set first combined LHC limits on $Wtb$ vertex. This combination allows us obtain much better than separate measurements. The resulting constraints are comparable, although still weaker, ones obtained using Tevatron data with more statistics.
Pair production of new vector-like quarks in pp collisions is considered model independent as it usually dominated by QCD production. We discuss the interpretation quark searches case that not only relevant mechanism for quarks. In particular we consider effect a massive color octet vector boson with sizeable decay branching ratio into pay special attention to sensitivity Large Hadron Collider experiments, both run-1 and early run-2, differences kinematical distributions from different...
Machine learning has been applied to several problems in particle physics research, beginning with applications high-level analysis the 1990s and 2000s, followed by an explosion of event identification reconstruction 2010s. In this document we discuss promising future research development areas for machine physics. We detail a roadmap their implementation, software hardware resource requirements, collaborative initiatives data science community, academia industry, training community science....
The $Wtb$ vertex structure and the search for new anomalous couplings is studied using top quark measurements obtained at LHC, a centre-of-mass energy of 8 TeV. By combining latest most precise results on single production cross section $W$-boson helicity fractions ($F_0$ $F_L$), it possible to set limits, 95% CL (confidence level), real imaginary components couplings. combination LHC observables clearly improves limits when individual alone. updated $s+t$-channels electroweak production,...
Vector-like Quarks (VLQs) are potential signatures of physics beyond the Standard Model at TeV energy scale and major efforts have been put forward both ATLAS CMS experiments in search these particles. In order to make results more relatable context most plausible theories VLQs, it is deemed important present analysis a general fashion. We investigate challenges associated with such interpretations singly produced VLQ searches propose generalized, semi-analytical framework that allows...
Current quantum systems have significant limitations affecting the processing of large datasets with high dimensionality, typical energy physics. In present paper, feature and data prototype selection techniques were studied to tackle this challenge. A grid search was performed machine learning models trained benchmarked against classical shallow methods, both in reduced complete datasets. The performance algorithms found be comparable ones, even when using Sequential Backward Selection...