J. Pazzini
YOU?
Author Swipe
View article: Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA Open
Tensor networks (TNs) are a computational paradigm used for representing quantum many-body systems. Recent works have shown how TNs can also be applied to perform machine learning (ML) tasks, yielding comparable results to standard supervi…
View article: An Experimental Setup to Study Electron Transport and Thermalization in Cryogenic Para-Hydrogen Crystal Matrices
An Experimental Setup to Study Electron Transport and Thermalization in Cryogenic Para-Hydrogen Crystal Matrices Open
We present an experimental apparatus to investigate electron transport and thermalization in cryogenic para-hydrogen crystal matrices. This paper describes the techniques used to grow and characterize the cryogenic para-hydrogen crystals, …
View article: Tree Tensor Network implemented on FPGA as ultra-low latency binary classifiers.
Tree Tensor Network implemented on FPGA as ultra-low latency binary classifiers. Open
Tensor Networks (TNs) are a computational framework traditionally used to model quantum many-body systems. Recent research has demonstrated that TNs can also be effectively applied to Machine Learning (ML) tasks, producing results comparab…
View article: FEROCE: Front-End RDMA Over Converged Ethernet, a lightweight RoCE endpoint
FEROCE: Front-End RDMA Over Converged Ethernet, a lightweight RoCE endpoint Open
In a DAQ system a large fraction of CPU resources is engaged in networking rather than in data processing. The common network stacks that take care of network traffic usually manipulate data through several copies performing expensive oper…
View article: Measuring the electric dipole moment of the electron using polar molecules in a parahydrogen matrix
Measuring the electric dipole moment of the electron using polar molecules in a parahydrogen matrix Open
This paper outlines the groundwork we have done in preparation for our proposed experiment to measure the electric dipole moment of the electron in barium monofluoride molecules within a cryogenic parahydrogen matrix. We describe the exper…
View article: Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA Open
Tensor Networks (TNs) are a computational paradigm used for representing quantum many-body systems. Recent works have shown how TNs can also be applied to perform Machine Learning (ML) tasks, yielding comparable results to standard supervi…
View article: Front-end RDMA over Converged Ethernet, real-time firmware simulation
Front-end RDMA over Converged Ethernet, real-time firmware simulation Open
Several physics experiments are moving towards new acquisition models. In this work some ideas to implement Remote Direct Memory Access (RDMA) directly on the front-end electronics have been explored, part of the computing farm's CPU resou…
View article: 40 MHz triggerless readout of the CMS Drift Tube muon detector
40 MHz triggerless readout of the CMS Drift Tube muon detector Open
The Level-1 trigger scouting system of the CMS experiment aims at intercepting the intermediate data produced by the L1 trigger processors before the final trigger decision. This system can be complemented by adding the raw stream of data …
View article: Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection
Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection Open
This work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from a particle detector. The processing pipeline begins with a local reconstruction algori…
View article: Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection
Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection Open
This work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from a particle detector. The processing pipeline begins with a local reconstruction algori…
View article: Electron thermalization length in solid para-hydrogen at low-temperature
Electron thermalization length in solid para-hydrogen at low-temperature Open
We report the first ever measurements of the thermalization length of low-energy electrons injected into solid para-hydrogen at a temperature T ≈ 2.8 K. The use of the pulsed Townsend photoinjection technique has allowed us to investigate …
View article: Electron thermalization length in solid para-hydrogen at low-temperature
Electron thermalization length in solid para-hydrogen at low-temperature Open
We report the first ever measurements of the thermalization length of low-energy electrons injected into solid para-hydrogen at a temperature \(T\approx 2.8\,\)K. The use of the pulsed Townsend photoinjection technique has allowed us to in…
View article: Fast kernel methods for data quality monitoring as a goodness-of-fit test
Fast kernel methods for data quality monitoring as a goodness-of-fit test Open
We propose an accurate and efficient machine learning approach for monitoring particle detectors in real-time. The goal is to assess the compatibility of incoming experimental data with a reference dataset, characterising the data behaviou…
View article: Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test
Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test Open
We here propose a machine learning approach for monitoring particle detectors in real-time. The goal is to assess the compatibility of incoming experimental data with a reference dataset, characterising the data behaviour under normal circ…
View article: A fast and flexible machine learning approach to data quality monitoring
A fast and flexible machine learning approach to data quality monitoring Open
We present a machine learning based approach for real-time monitoring of particle detectors. The proposed strategy evaluates the compatibility between incoming batches of experimental data and a reference sample representing the data behav…
View article: Trigger-less readout and unbiased data quality monitoring of the CMS drift tubes muon detector
Trigger-less readout and unbiased data quality monitoring of the CMS drift tubes muon detector Open
The CMS experiment 40 MHz data scouting project is aimed at intercepting the data produced at the level of the detectors’ front-end without the filters induced by hardware-based triggers. A first implementation is realized by the trigger-l…
View article: Muon trigger with fast Neural Networks on FPGA, a demonstrator
Muon trigger with fast Neural Networks on FPGA, a demonstrator Open
The online reconstruction of muon tracks in High Energy Physics experiments is a highly demanding task, typically performed on reconfigurable digital circuits, such as FPGAs. Complex analytical algorithms are executed in a quasi-real-time …
View article: DQM for Drift Tube Chambers
DQM for Drift Tube Chambers Open
Dataset for DQM for Drift Tube Chambers. The dataset include a reference sample and smaller data samples characterized by anomalous effects. Plots for data visualization are provided.
View article: DQM for Drift Tube Chambers
DQM for Drift Tube Chambers Open
Dataset for DQM for Drift Tube Chambers. The dataset include a reference sample and smaller data samples characterized by anomalous effects. Plots for data visualization are provided.
View article: A horizontally scalable online processing system for trigger-less data acquisition
A horizontally scalable online processing system for trigger-less data acquisition Open
View article: Muon detection in electron-positron annihilation for muon collider studies
Muon detection in electron-positron annihilation for muon collider studies Open
View article: A horizontally scalable online processing system for trigger-less data acquisition
A horizontally scalable online processing system for trigger-less data acquisition Open
The majority of high energy physics experiments rely on data acquisition and hardware-based trigger systems performing a number of stringent selections before storing data for offline analysis. The online reconstruction and selection perfo…
View article: Muon trigger with fast Neural Networks on FPGA, a demonstrator
Muon trigger with fast Neural Networks on FPGA, a demonstrator Open
The online reconstruction of muon tracks in High Energy Physics experiments is a highly demanding task, typically performed with programmable logic boards, such as FPGAs. Complex analytical algorithms are executed in a quasi-real-time envi…
View article: Measurements of mixed harmonic cumulants in Pb-Pb collisions at $\mathbf{\sqrt{{\textit s}_{\rm NN}}}=5.02$ TeV
Measurements of mixed harmonic cumulants in Pb-Pb collisions at $\mathbf{\sqrt{{\textit s}_{\rm NN}}}=5.02$ TeV Open
Correlations between moments of different flow coefficients are measured in Pb-Pb collisions at $\\sqrt{s_{\\rm NN}} = 5.02$ TeV recorded with the ALICE detector. These new measurements are based on multiparticle mixed harmonic cumulants c…
View article: Unveiling the strong interaction among hadrons at the LHC
Unveiling the strong interaction among hadrons at the LHC Open
One of the key challenges for nuclear physics today is to understand from first principles the effective interaction between hadrons with different quark content. First successes have been achieved using techniques that solve the dynamics …
View article: Muon collider: the Low EMittance Muon Accelerator (LEMMA) approach
Muon collider: the Low EMittance Muon Accelerator (LEMMA) approach Open
This work introduces a new proposal for a low--emittance muon accelerator (LEMMA) in which muon beam is obtained from the e$^+$e$^-\\rightarrow\\mu^+\\mu^-$ annihilation process with positrons at the threshold energy of 45 GeV. The experim…
View article: Towards a measurement of the emittance of muons produced by positron annihilation at threshold energy
Towards a measurement of the emittance of muons produced by positron annihilation at threshold energy Open
The muon collider represents one of the most promising solutions for a future machine exploring the high energy frontier, but several challenges due to the 2.2 $\mu$sec muon lifetime at rest have to be carefully considered. The LEMMA proje…
View article: Dark Matter benchmark models for early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum
Dark Matter benchmark models for early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum Open
View article: Positron driven muon source for a muon collider
Positron driven muon source for a muon collider Open
The design of a future multi-TeV muon collider needs new ideas to overcome the technological challenges related to muon production, cooling, accumulation and acceleration. In this paper a layout of a positron driven muon source known as th…
View article: Using Big Data Technologies for HEP Analysis
Using Big Data Technologies for HEP Analysis Open
The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a large amount of information. The growing size of the datasets …