S. Sánchez Cruz

ORCID: 0000-0002-9991-195X
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Quantum Chromodynamics and Particle Interactions
  • Particle Detector Development and Performance
  • Dark Matter and Cosmic Phenomena
  • Computational Physics and Python Applications
  • Cosmology and Gravitation Theories
  • Neutrino Physics Research
  • Astrophysics and Cosmic Phenomena
  • X-ray Diffraction in Crystallography
  • Crystallization and Solubility Studies
  • Radiation Detection and Scintillator Technologies
  • Black Holes and Theoretical Physics
  • Superconducting Materials and Applications
  • Distributed and Parallel Computing Systems
  • Medical Imaging Techniques and Applications
  • Radiation Therapy and Dosimetry
  • Gamma-ray bursts and supernovae
  • Atomic and Subatomic Physics Research
  • Nuclear reactor physics and engineering
  • Anomaly Detection Techniques and Applications
  • Particle Accelerators and Free-Electron Lasers
  • Optical properties and cooling technologies in crystalline materials
  • International Science and Diplomacy
  • Stochastic processes and financial applications

European Organization for Nuclear Research
2024-2025

University of Zurich
2017-2025

Institute of High Energy Physics
2016-2024

University of Antwerp
2024

A. Alikhanyan National Laboratory
2022-2024

Mapúa University
2024

Austrian Academy of Sciences
2024

National Central University
2023

Universidad de Oviedo
2016-2023

Center for Migration Studies of New York
2017-2023

As science attempts to close the gap between man and machine by building systems capable of learning, we must embrace importance unknown. The ability differentiate known unknown can be considered a critical element any intelligent self-learning system. reject uncertain inputs has very long history in as does including background or garbage class account for that are not interest. This paper explains why neither these is genuinely sufficient handling – unknown, unknowns need appear learning...

10.1609/aaai.v33i01.33019801 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2019-07-17

This study aimed to assess the utilization of powers in Katarungang Pambarangay (Barangay Justice) Law by Barangay Human Rights Council. It focused on their Structure and Approach, Decision-Making Process Evaluation, Transparency Communication. The research was intended focus barangays that were non-recipients Lupong Tagapamayapa (Peace Committee) Awards. Using sample size 114 from 129 Baguio City, random sampling employed arrive at 89 conduct survey, where 226 respondents participated...

10.70059/ehehn324 article EN CGCI international journal of administration, management, education and technology (CGCI-IJAMET) 2025-03-11

We introduce a graph neural network architecture designed to extract novel phenomena in the standard model effective field theory (SMEFT) context from LHC collision data. The proposed infrared- and collinear-safe is sensitive angular orientation of radiation patterns jets hadronic decays highly energetic massive particles. Equivariance with respect rotations around jet axis allows for extracting information on decoupled substructure. demonstrate robustness approach its potential future...

10.1103/physrevd.109.076012 article EN cc-by Physical review. D/Physical review. D. 2024-04-12

This note provides a comprehensive overview of tools for predicting observables in the Standard Model effective field theory (SMEFT) at both tree level and one loop using event generators. We evaluate three primary methodologies–event reweighting, separate simulation squared matrix elements, full SMEFT process simulation–focusing on their statistical performance, computational efficiency, potential biases. Each approach is assessed terms its accuracy, highlighting trade-offs between...

10.21468/scipostphyscommrep.4 article EN cc-by 2024-11-29

We introduce a graph neural network architecture designed to extract novel phenomena in the Standard Model Effective Field Theory (SMEFT) context from LHC collision data. The proposed infrared- and collinear-safe is sensitive angular orientation of radiation patterns jets hadronic decays highly energetic massive particles. Equivariance with respect rotations around jet axis allows for extracting information on decoupled substructure. demonstrate robustness approach its potential future...

10.48550/arxiv.2401.10323 preprint EN public-domain arXiv (Cornell University) 2024-01-01

We introduce the usage of equivariant neural networks in search for violations charge-parity ($\textit{CP}$) symmetry particle interactions at CERN Large Hadron Collider. design that take as inputs kinematic information recorded events and transform equivariantly under a group related to $\textit{CP}$ transformation. show this algorithm allows define observables reflecting properties symmetry, showcasing its performance several reference processes top quark electroweak physics. Imposing...

10.48550/arxiv.2405.13524 preprint EN arXiv (Cornell University) 2024-05-22

This note gives an overview of the tools for predicting expectations in Standard Model effective field theory (SMEFT) at tree level and one loop available through event generators. Methods reweighting, separate simulation squared matrix elements, full SMEFT process are compared terms statistical efficacy potential biases.

10.48550/arxiv.2406.14620 preprint EN arXiv (Cornell University) 2024-06-20

10.1109/iicaiet62352.2024.10730372 article EN 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) 2024-08-26

We introduce the usage of equivariant neural networks in search for violations charge-parity (<a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi>C</a:mi><a:mi>P</a:mi></a:math>) symmetry particle interactions at CERN Large Hadron Collider. design that take as inputs kinematic information recorded events and transform equivariantly under a group related to <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"><c:mi>C</c:mi><c:mi>P</c:mi></c:math>...

10.1103/physrevd.110.096023 article EN cc-by Physical review. D/Physical review. D. 2024-11-26

The High Luminosity Large Hadron Collider (HL-LHC) at CERN is expected to collide protons a center-of-mass energy of 14 TeV and reach the unprecedented peak instantaneous luminosity $7 \times 10^{34}\, \mathrm{cm}^{-2}\mathrm{s}^{-1}$. This will allow ATLAS CMS experiments each collect integrated luminosities up 4000 $\mathrm{fb}^{-1}$ during project lifetime. To cope with this extreme scenario detector be substantially upgraded before starting HL-LHC, plan known as Phase-2 upgrade. entire...

10.22323/1.414.0637 article EN cc-by-nc-nd Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022) 2022-12-05

Abstract Objective/aim: To describe the main molecular alterations in a Colombian Cohort of patients diagnosed with Papillary Thyroid Carcinoma (PTC) at Fundacion Santa Fe de Bogota University Hospital between 1993 and 2011 Methods: A total 231 surgically intervened our institution PTC available paraffin blocks were analysed. DNA RNA extraction was performed from FFPE samples using Quick-DNA &amp; MiniPrep Kit (Zymo Research). Next Generation Sequencing analysis SOPHiA Solid Tumor Solutions...

10.1158/1538-7445.am2023-6085 article EN Cancer Research 2023-04-04

A search for new physics in top quark production with additional final-state leptons is performed 138 $\mathrm{fb}^{-1}$ of proton-proton collision data at $\sqrt{s}$ = 13 TeV. We use the framework effective field theory to parametrize potential effects terms 26 dimension-six EFT operators. The are divided into several categories based on lepton multiplicity, total charge, jet multiplicities, and b-tagged multiplicities. Kinematic variables used extract limits simultaneously associated set...

10.48550/arxiv.2305.06245 preprint EN cc-by arXiv (Cornell University) 2023-01-01

A search is presented for physics beyond the standard model in final states with two oppositesign same-flavor leptons (electrons or muons), jets, and missing transverse momentum.The data sample corresponds to an integrated luminosity of 12.9 fb -1 proton-proton collisions at √ s=13TeV collected CMS detector CERN LHC during 2016.The analysis focuses on a region events containing consistent decay Z boson, developing data-driven method estimation Z+jets background based imbalance between...

10.22323/1.282.0754 article EN cc-by-nc-nd Proceedings of The 39th International Conference on High Energy Physics — PoS(ICHEP2018) 2017-02-06

A search is presented for physics beyond the standard model in events with two opposite-sign, same-flavor leptons, jets and missing transverse momentum final state. The performed a dataset of 35.9 $\mathrm{fb}^{-1}$ $\sqrt{s} = $ 13 TeV pp collisions recorded by CMS experiment year 2016. targets models which colored particle produced. Models are considered, kinematic edge observed dilepton invariant mass distribution Z boson arises decay chain SUSY particles. Such searches have been 8 as...

10.48550/arxiv.1708.09655 preprint EN other-oa arXiv (Cornell University) 2017-01-01

A set of measurements top quark pair and single production in association with standard model (SM) bosons performed by the CMS ATLAS Collaborations is presented. The consistency these results among themselves SM prediction discussed. latest on four are also shown.

10.48550/arxiv.1805.02024 preprint EN other-oa arXiv (Cornell University) 2018-01-01
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