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ICSC and Spoke 2 - Where Are We Now?

10–12 Dec 2024
Physics Dept and INFN, Catania
Europe/Rome timezone

Contribution List

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  1. 84. Saluti INFN-CT / UniCT
    Alessia Rita Tricomi (Istituto Nazionale di Fisica Nucleare), Stefano Romano (Istituto Nazionale di Fisica Nucleare)
    10/12/2024, 14:30
  2. 86. Saluti Fondazione
    Antonio Zoccoli (Istituto Nazionale di Fisica Nucleare), Francesco Ubertini (CINECA)
    10/12/2024, 14:50
  3. 87. Spoke 2 Status
    10/12/2024, 15:10
  4. 88. Situazione Finanziaria
    Simona Petronici (Istituto Nazionale di Fisica Nucleare)
    10/12/2024, 15:40
  5. 89. The ICSC Status
    Alessia D'Orazio
    10/12/2024, 16:00
  6. 155. Cosa e' il Centro Nazionale di Supercalcolo, Big Data e Quantum Computing ?
    10/12/2024, 17:00
  7. 90. Esempi di attivita'
    10/12/2024, 17:10
  8. 91. Tavola rotonda
    10/12/2024, 17:50
  9. 92. WP1
    Leonardo Cosmai (Istituto Nazionale di Fisica Nucleare), Leonardo Giusti (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 09:30
  10. 94. WP2
    Alberto Annovi (Istituto Nazionale di Fisica Nucleare), Piergiulio Lenzi (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 09:45
  11. 95. WP3
    Marco Landoni, Marco Landoni (INAF - Istituto Nazionale di Astrofisica)
    11/12/2024, 10:00
  12. 96. WP4
    Simone Gennai (Istituto Nazionale di Fisica Nucleare), Simone Gennai (MIB)
    11/12/2024, 10:15
  13. 97. WP5
    Daniele Spiga (Istituto Nazionale di Fisica Nucleare), Elvira Rossi (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 10:30
  14. 93. WP6
    Alessia Rita Tricomi (Istituto Nazionale di Fisica Nucleare), Antonio Stamerra (INAF-OAR and INFN-Roma)
    11/12/2024, 10:45

    https://docs.google.com/file/d/1806GOYJ9z7sHeOPI-6ZZ7Ih1Bl7A7XMu/edit?usp=docslist_api&filetype=mspresentation

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  15. 98. ML-BLEN
    Alessandro Bombini (FI), Alessandro Bombini (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 11:30
  16. 99. Leonardo IDL
    Nicolo' Magini (Leonardo), Nicolo' Magini (G), Nicolò Magini (Leonardo S.p.A.)
    11/12/2024, 11:45
  17. 100. Predictive maintenance
    Roberto Cornali (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 12:00
  18. 101. GAIAS2
    Cristiano Bozza (University of Salerno and INFN)
    11/12/2024, 12:15
  19. 125. Lightning Talk: Heavy flavours jet substructure
    Andrea Ghira (Università di Genova and Istituto Nazionale di Fisica Nucleare (INFN) sezione di Genova)
    11/12/2024, 12:30
  20. 126. Lightning Talk: SAIFIN (Satellite data and Artificial Intelligence for FINtech
    Alberto Garinei (Marconi)
    11/12/2024, 12:40
  21. 127. Lightning Talk: FaDER - Assisting real-time track reconstruction for LHC experiments
    Andrea Coccaro (University of Geneva), Carlo Schiavi (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 12:50
  22. 128. Lightning Talk: The AIDA project: galaxy formation in alternative dark matter models
    Giulia Despali (University of Bologna)
    11/12/2024, 15:30
  23. 129. Lightning Talk: Lattice QCD in the exascale computing era
    Dr Marco Cè (Università di Milano-Bicocca)
    11/12/2024, 15:40
  24. 130. Lightning Talk: Machine Learning for event reconstruction in Super-Kamiokande
    Nicola Fulvio Calabria (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 15:50
  25. 131. Lightning Talk: Optimal use of timing measurement in vertex reconstruction at CMS
    Ksenia de Leo (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 16:00
  26. 132. Towards virtual painting recolouring using Vision Transformer on X-Ray Fluorescence datacubesLightning Talk:
    Alessandro Bombini (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 16:10
  27. 133. Lightning Talk: An API for training Physics-Informed Kolmogorov-Arnold Networks using Nvidia Modulus SYM
    Alessandro Bombini (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 16:20
  28. 134. Lightning Talk: Implementation of low latency, fast inference neural networks on FPGA for trigger-like systems
    Salvatore Loffredo (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 17:00
  29. 135. Lightning Talk: Quasi interactive analysis of big data with high throughput - where are we now?
    Francesco Giuseppe Gravili (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 17:10
  30. 136. Lightning Talk: Building a Versatile HPC Data Center: a STILES lesson
    Fabio Ragosta (Università degli studi di Napoli "Federico II")
    11/12/2024, 17:20
  31. 137. Lightning Talk: Accelerating LHCb VELO U2 Design with Machine Learning: A Fast Simulation Approach for the TimeSPOT Sensor
    Dr Zhihua Liang (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 17:30
  32. 138. Lightning Talk: High rate analysis benchmarks
    Tommaso Tedeschi (Università e INFN Perugia)
    11/12/2024, 17:40
  33. 139. Lightning Talk: Graph Anomaly Detection with GNNs: A Case Study on Predictive Maintenance for ENI’s Industrial Machinery
    Giovanni Zurlo (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 17:50
  34. 140. Lighning Talk: Declarative framework for analysis definition and implementation
    Paolo Mastrandrea (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 18:00
  35. 141. Lightning Talk: LoopIn: a code for automating scattering amplitudes calculations
    Jonathan Ronca (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 18:10
  36. 142. Lightning Talk: Super-Resolution Surrogate Model for Accelerated Geant4 Simulations
    Giuseppe Gallo (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 18:20
  37. 143. Lightning Talk: BoGEMMS-HPC: development of Geant4 simulations in High-Performance Computing environments
    Alex Ciabattoni (Università di Bologna, INAF OAS Bologna)
    11/12/2024, 18:30
  38. 151. Lightning Talk: Satellite Data Management for advanced environmental applications
    Giuseppe Piparo (Istituto Nazionale di Fisica Nucleare)
    11/12/2024, 18:40
  39. 144. Lightning Talk: Hyperparameter Optimization for Deep Learning Models Using High-Performance Computing
    Muhammad Numan Anwar (Istituto Nazionale di Fisica Nucleare)
    12/12/2024, 09:50
  40. 145. Lightning Talk: The Frequency-Hough project: algorithm optimization and HPC for present and future continuous gravitational-wave searches
    Lorenzo Pierini (Istituto Nazionale di Fisica Nucleare)
    12/12/2024, 10:00
  41. 146. Lightning Talk: GWTboost: boosting the efficiency of gravitational–wave transient detections
    Giacomo Principe (Istituto Nazionale di Fisica Nucleare)
    12/12/2024, 10:10
  42. 147. Lightning Talk: Extending Rucio to support external metadata catalog
    Luca Pacioselli (Istituto Nazionale di Fisica Nucleare)
    12/12/2024, 10:20
  43. 148. Lightning Talk: Data traceability model implementation in the Rucio data lake
    Domingo Ranieri (Istituto Nazionale di Fisica Nucleare)
    12/12/2024, 10:30
  44. 152. Lightning Talk: Deep learning applications for the analysis of Sentinel-2 satellite imagery
    Dr Gioacchino Alex Anastasi (Università di Catania & INFN Catania)
    12/12/2024, 10:40
  45. 154. Lightning Talk: Vector Boson Scattering with Machine Learning in Boosted Topologies at CMS
    Luca Della Penna (Istituto Nazionale di Fisica Nucleare)
    12/12/2024, 10:50
  46. 157. A numerical framework to study topologically induced flow patterns in active emulsions
    Giuseppe Negro (Istituto Nazionale di Fisica Nucleare)
    12/12/2024, 11:00
  47. 111. Accelerating LHCb VELO U2 Design with Machine Learning: A Fast Simulation Approach for the TimeSPOT Sensor
    Dr Zhihua Liang (Istituto Nazionale di Fisica Nucleare)

    The VELO Upgrade 2 (VELO U2) for the LHCb experiment relies on the TimeSPOT sensor for enhanced timing resolution and radiation hardness. Efficient simulation is crucial for optimizing the sensor design and predicting performance. Traditional Geant4/TCoDe simulations, while accurate, are computationally intensive, hindering large-scale design studies. This talk presents a novel approach using...

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  48. 106. An API for training Physics-Informed Kolmogorov-Arnold Networks using Nvidia Modulus SYM
    Alessandro Bombini (Istituto Nazionale di Fisica Nucleare)
    Innovation Grants

    In this contribution we discuss the novel neural network architecture, based on the Kolmogorov-Arnold Representation Theorem, dubbed "Kolmogorov-Arnold Network" (KAN), its variants (like the Chebyshev-KAN, the Jacobi-KAN, the FastKAN), and its applications to numerical resolution of PDEs via the Physics-Informed Neural Network (PINN) framework.

    We discuss our implementation of the API for...

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  49. 119. BoGEMMS-HPC: development of Geant4 simulations in High-Performance Computing environments
    Alex Ciabattoni (Università di Bologna, INAF OAS Bologna)
    WP3

    Geant4 is a C++ toolkit library for the transport of particles through matter and it is commonly used for the simulation of high energy space missions, allowing for the evaluation of their performance and driving the instrument design. The increasing complexity of the new technology involved for the high-energy Universe observation requires the development of modern large-scale simulations and...

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  50. 110. Building a Versatile HPC Data Center: a STILES lesson
    Dr Fabio Ragosta (Università degli studi di Napoli "Federico II")

    High-performance computing (HPC) has become indispensable for addressing the complex challenges of modern scientific research. From processing massive datasets to running simulations with millions of variables, HPC supports advancements across a range of disciplines. This presentation will provide an overview of the design and implementation of a new HPC data center, focusing on its ability to...

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  51. 114. Data traceability model implementation in the Rucio data lake
    Domingo Ranieri (Istituto Nazionale di Fisica Nucleare)
    Innovation Grants

    In recent years, blockchain has emerged as a promising technology for managing trusted information and facilitating the management of critical data by businesses and the public while maintaining high levels of security. Permissioned blockchains, unlike permissionless ones, restrict access to a select group of authorized entities, ensuring a controlled and secure environment. It is particularly...

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  52. 116. Declarative framework for analysis definition and implementation
    Paolo Mastrandrea (Istituto Nazionale di Fisica Nucleare)
    WP2

    The software toolbox used for "big data" analysis in the last few years is rapidly changing. The adoption of software design approaches able to exploit the new hardware architectures and improve code expressiveness plays a pivotal role in boosting data processing speed, resources optimisation, analysis portability and analysis preservation.
    The scientific collaborations in the field of High...

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  53. 150. Deep learning applications for the analysis of Sentinel-2 satellite imagery
    Dr Gioacchino Alex Anastasi (Università di Catania & INFN Catania)
    WP6

    In recent times, the combination of remote sensing and machine learning applications has led to great perspectives in the context of space economy. A flagship use case "AI algorithms for (satellite) imaging reconstruction" has been therefore established within the Working Group 6 (WP6) "Cross-Domain Initiatives and Space Economy" under Spoke 2, to focus on the analysis of satellite and aerial...

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  54. 112. Extending Rucio to support external metadata catalog
    Luca Pacioselli (Istituto Nazionale di Fisica Nucleare)
    Innovation Grants

    In this talk, I will present the progress made in deploying and customizing Rucio as a scalable, metadata-integrated prototype Data Lake as a solution for Data Management (DM) of the Interoperable Data Lake (IDL) project. Rucio is an open-source DM software designed for large-scale scientific experiments such as those in high-energy physics (HEP). Initially developed by CERN for the ATLAS...

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  55. 124. FaDER - Assisting real-time track reconstruction for LHC experiments
    Alessandro Zaio (Istituto Nazionale di Fisica Nucleare)
    Open Calls

    The real-time track reconstruction task for LHC experiments shows a processing time which increases significantly as a function of the average number of proton-proton collisions per bunch crossing. The future upgrade to the High-Luminosity LHC (HL-LHC), with way higher levels of simultaneous collisions, could thus lead to a considerable growth in computational cost for the current trigger...

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  56. 115. Graph Anomaly Detection with GNNs: A Case Study on Predictive Maintenance for ENI’s Industrial Machinery
    Giovanni Zurlo (Istituto Nazionale di Fisica Nucleare)
    Innovation Grants

    In mission-critical industries, continuous operation exposes equipment to wear that can escalate into costly failures and downtimes. Early anomaly detection is, therefore, essential to maintaining seamless operations. Graph Neural Networks (GNNs) are emerging as a powerful tool for predictive maintenance, offering unparalleled understanding of data from complex interconnected systems of...

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  57. 123. GWTboost: boosting the efficiency of gravitational–wave transient detections
    Giacomo Principe (Istituto Nazionale di Fisica Nucleare)
    WP3

    Unmodeled methods are extensively employed to detect generic gravitational wave transients (GWTs), including signals that lack precise theoretical modeling. Interestingly, these methods also demonstrate competitive efficiency when applied to well-modeled gravitational wave signals, such as those from compact binary coalescences (CBCs), rivaling the widely used matched-filter approach. In this...

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  58. 107. Heavy flavours jet substructure
    Andrea Ghira (Università di Genova and Istituto Nazionale di Fisica Nucleare (INFN) sezione di Genova)
    Open Calls

    In this talk we will focus on hadronic jets initiated by heavy flavours. In particular, we will examine different observables to study the dead cone effect, i.e. the suppression of collinear QCD radiation around massive quarks, and to investigate the sensitivity of different observable definitions to the presence of quark masses.

    Our results are based on all-order resummed predictions at...

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  59. 113. High rate analysis benchmarks
    Tommaso Tedeschi (Università e INFN Perugia)
    WP5

    The current High Rate Analysis platform offers a general purpose environment where analyzers can scale up their computations. The platform has proven to be able to support diverse use cases: recently, a CMS Coffea-based benchmark analysis has successfully been tested, adding up to the already tested ROOT's RDataFrame benchmark workflows, allowing for an initial comparison between the two...

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  60. 120. Hyperparameter Optimization for Deep Learning Models Using High-Performance Computing
    Muhammad Numan Anwar (Istituto Nazionale di Fisica Nucleare)

    Clusters counting in a drift chamber represents a highly promising
    breakthrough in particle identification (PID) techniques for particle physics
    experiments. In this paper, we trained neural network models, including a
    Long Short-Term Memory (LSTM) model for the peak-finding algorithm and a
    Convolutional Neural Network (CNN) model for the clusterization algorithm,
    using various...

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  61. 108. Implementation of low latency, fast inference neural networks on FPGA for trigger-like systems
    Dr Salvatore Loffredo (Istituto Nazionale di Fisica Nucleare)
    WP2

    In many research and industrial settings, achieving fast, low-latency algorithmic responses is essential. To meet the demands of the upgraded LHC and future High Energy Physics (HEP) detectors, quick and powerful triggers are necessary. In recent years, machine learning algorithms have been widely applied to such tasks, and more recently, solutions based on Field Programmable Gate Arrays...

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  62. 82. Lattice QCD in the exascale computing era
    Dr Marco Cè (Università di Milano-Bicocca)
    WP1

    Lattice QCD is the leading framework for systematically studying the non-perturbative regime of Quantum Chromodynamics (QCD), the theory of strong interactions. Today, lattice methods are essential for high-precision calculations—both current and future—of fundamental quantities in the Standard Model of particle physics. These advancements are made possible by highly-parallelized HPC...

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  63. 117. LoopIn: a code for automating scattering amplitudes calculations
    Jonathan Ronca (Istituto Nazionale di Fisica Nucleare)

    We present "LoopIn", a framework aimed at automating calculations of multi-loop scattering amplitudes for pQFT. It has been designed to have only few user input (process, number of loop, ps-points), from which it can provide numerical values for interference terms, helicity amplitudes or form factors.
    "LoopIn" implements a modular structure, for which public codes can be interfaced as...

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  64. 83. Machine Learning for event reconstruction in Super-Kamiokande
    Nicola Fulvio Calabria (Istituto Nazionale di Fisica Nucleare)

    In this preliminary study I consider and explore the application of Machine Learning algorithms for reconstruction in Super-Kamiokande, the largest Water Cherenkov detector in the world. I simulated event samples to train a custom ResNet-18 based model whose perfomance is presented in this talk. The goal is the development of a Machine Learning based tool to be employed in proton decay...

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  65. 102. OC2
  66. 103. OC3
  67. 104. Optimal use of timing measurement in vertex reconstruction at CMS
    Ksenia de Leo (Istituto Nazionale di Fisica Nucleare)

    The upgrade of the CMS apparatus for the HL-LHC will provide unprecedented timing measurement capabilities, in particular for charged particles through the Mip Timing Detector (MTD). One of the main goals of this upgrade is to compensate the deterioration of primary vertex reconstruction induced by the increased pileup of proton-proton collisions by separating clusters of tracks not only in...

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  68. 109. Quasi interactive analysis of big data with high throughput - where are we now?
    Francesco Giuseppe Gravili (Istituto Nazionale di Fisica Nucleare)
    WP2

    Following the last lightning talk given at the 2023 Spoke2 Annual Meeting, about the flagship usecase UC2.2.2 “Quasi interactive analysis of big data with high throughput” of the Work Package 2 “Experimental High Energy Physics”, this contribution will report the status of the ongoing efforts.
    Starting from the scientific production and going through the common cloud infrastructure deployment...

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  69. 121. SAIFIN (Satellite data and Artificial Intelligence for FINtech)
    Alberto Garinei (Università Guglielmo Marconi - Dipartimento di Scienze Ingegneristiche)
    Open Calls

    One of the most promising methods for evaluating trading strategies relies on the analysis of satellite data. The primary objective of SAIFIN (Satellite data and Artificial Intelligence for FINtech) is to develop an AI-based algorithmic trading system capable of identifying financial trading strategies by leveraging information retrieved from both web sources and satellite data.
    The system...

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  70. 149. Satellite Data Management for advanced environmental applications
    Giuseppe Piparo (Istituto Nazionale di Fisica Nucleare)
    WP6

    Efficient satellite data management is essential to improve environmental monitoring and support various space economy applications. As part of Working Project 6 (WP6) ‘Cross-Domain Initiatives and Space Economy’ of Spoke 2, we developed a custom library designed to simplify the entire workflow from downloading to pre-processing and analysis of satellite data.

    The library facilitates the...

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  71. 85. Stato finanziario e amministrazione
  72. 118. Super-Resolution Surrogate Model for Accelerated Geant4 Simulations
    Giuseppe Gallo (Università degli Studi di Catania, Catania, Italia)
    WP6

    WP6-Spoke2 of ICSC - Italian Research Center on HPC, Big Data and Quantum Computing has a use case dedicated to the integration of machine learning models to enhance Geant4. This is a well-known simulation framework in medical physics that can reproduce particle interactions down to the micrometer scale and below. However, the resources required scale linearly with the complexity of the system...

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  73. 81. The AIDA project: galaxy formation in alternative dark matter models
    Giulia Despali (University of Bologna)
    WP3

    Despite years of experimental searches, understanding dark matter, a cornerstone of modern cosmology, remains elusive. For a variety of models, telescope observations often provide the only constraints on the nature of dark matter, and thus, new upcoming observations will be instrumental in studying dark matter through the comparison with numerical predictions. Only recently, simulations with...

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  74. 122. The Frequency-Hough project: algorithm optimization and HPC for present and future coninuous gravitational-wave searches
    Lorenzo Pierini (Istituto Nazionale di Fisica Nucleare)
    WP3

    The search for continuous and persistent gravitational waves emitted by isolated and rotating neutron stars is a top priority for current and future ground-based detectors. However, those searches are typically bounded in sensitivity by their high computational costs. In this talk, I will introduce the flagship use case devoted to the Frequency-Hough algorithm, which performs a blind search...

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  75. 105. Towards virtual painting recolouring using Vision Transformer on X-Ray Fluorescence datacubes
    Alessandro Bombini (Istituto Nazionale di Fisica Nucleare)
    WP6

    In this contribution, we define (and test) a pipeline to perform virtual painting recolouring using raw data of X-Ray Fluorescence (XRF) analysis on pictorial artworks. To circumvent the small dataset size, we generate a synthetic dataset, starting from a database of XRF spectra; furthermore, to ensure a better generalisation capacity (and to tackle the issue of in-memory size and inference...

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  76. 153. Vector Boson Scattering with Machine Learning in Boosted Topologies at CMS
    Luca Della Penna (Istituto Nazionale di Fisica Nucleare)

    Vector boson scattering (VBS) processes serve as a powerful probe for detecting potential deviations from the Standard Model (SM) of particle physics. Recently, there has been increasing interest in studying VBS, with a particular focus on incorporating the polarization states of the gauge bosons. While the reconstruction of fully leptonic final states is clearer, hadronic final states require...

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