A. Mazzacane
Fermilab
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Publication
Featured researches published by A. Mazzacane.
Proceedings of 38th International Conference on High Energy Physics — PoS(ICHEP2016) | 2017
D. Box; K. Retzke; V. Di Benedetto; M. Mengel; J. Boyd; A. Kreymer; P. Mhashilkar; V. Podstavkov; M. Kirby; T. Levshina; K. Herner; G. Garzoglio; P. Ding; D. Dykstra; N. Sharma; A. Mazzacane; M. Fattoruso
The FabrIc for Frontier Experiments (FIFE) project is an initiative within the Fermilab Scientific Computing Division designed to steer the computing model for non-LHC Fermilab experiments across multiple physics areas. FIFE is a collaborative effort between experimenters and computing professionals to design and develop integrated computing models for experiments of varying size, needs, and infrastructure. The major focus of the FIFE project is the development, deployment, and integration of solutions for high throughput computing, data management, database access and collaboration management within an experiment. To accomplish this goal, FIFE has developed workflows that utilize Open Science Grid compute sites along with dedicated and commercial cloud resources. The FIFE project has made significant progress integrating into experiment computing operations several services including a common job submission service, software and reference data distribution through CVMFS repositories, flexible and robust data transfer clients, and access to opportunistic resources on the Open Science Grid. The progress with current experiments and plans for expansion with additional projects will be discussed. FIFE has taken the leading role in defining the computing model for Fermilab experiments, aided in the design of experiments beyond those hosted at Fermilab, and will continue to define the future direction of high throughput computing for future physics experiments worldwide.
Journal of Physics: Conference Series | 2015
Corrado Gatto; V. Di Benedetto; A. Mazzacane
The physics program for future High Energy and High Intensity experiments requires an energy resolution of the calorimetric component of detectors at limits of traditional techniques and an excellent particle identification. The novel ADRIANO technology (A Dualreadout Integrally Active Non-segmented Option), currently under development at Fermilab, is showing excellent performance on those respects. Results from detailed Monte Carlo studies on the performance with respect to energy resolution, linear response and transverse containment and a preliminary optimization of the layout are presented. A baseline configuration is chosen with an estimated energy resolution of σ(E)/E ≈ 30%/√E , to support an extensive R&D program recently started by T1015 Collaboration at Fermilab. Preliminary results from several test beams at the Fermilab Test Beam Facility (FTBF) of a ~ 1λI prototype are presented. Future prospects with ultra-heavy glass are, also, summarized.
Journal of Instrumentation | 2018
V. Di Benedetto; Corrado Gatto; A. Mazzacane; N. Mokhov; S. Striganov; Nikolai Terentiev
The hit response of silicon vertex and tracking detectors to muon collider beam background and results of a study of hit reducing techniques are presented. The background caused by decays of the 750 GeV/c m+ and m- beams was simulated using the MARS15 program, which included the infrastructure of the beam line elements near the detector and the 10 degree nozzles that shield the detector from this background. The ILCRoot framework, along with the Geant4 program, was used to simulate the hit response of the silicon vertex and tracker detectors to the muon decay background remaining after the shielding nozzles. The background hit reducing techniques include timing, energy deposition, and hit location correlation in the double layer geometry.
Journal of Physics: Conference Series | 2017
K Herner; A. F. Alba Hernandez; S Bhat; D Box; J Boyd; V. Di Benedetto; P Ding; D Dykstra; M Fattoruso; G Garzoglio; M Kirby; A Kreymer; T Levshina; A. Mazzacane; M Mengel; P Mhashilkar; V Podstavkov; K Retzke; N Sharma; J Teheran
The FabrIc for Frontier Experiments (FIFE) project is a major initiative within the Fermilab Scientific Computing Division charged with leading the computing model for Fermilab experiments. Work within the FIFE project creates close collaboration between experimenters and computing professionals to serve high-energy physics experiments of differing size, scope, and physics area. The FIFE project has worked to develop common tools for job submission, certificate management, software and reference data distribution through CVMFS repositories, robust data transfer, job monitoring, and databases for project tracking. Since the projects inception the experiments under the FIFE umbrella have significantly matured, and present an increasingly complex list of requirements to service providers. To meet these requirements, the FIFE project has been involved in transitioning the Fermilab General Purpose Grid cluster to support a partitionable slot model, expanding the resources available to experiments via the Open Science Grid, assisting with commissioning dedicated high-throughput computing resources for individual experiments, supporting the efforts of the HEP Cloud projects to provision a variety of back end resources, including public clouds and high performance computers, and developing rapid onboarding procedures for new experiments and collaborations. The larger demands also require enhanced job monitoring tools, which the project has developed using such tools as ElasticSearch and Grafana. in helping experiments manage their large-scale production workflows. This group in turn requires a structured service to facilitate smooth management of experiment requests, which FIFE provides in the form of the Production Operations Management Service (POMS). POMS is designed to track and manage requests from the FIFE experiments to run particular workflows, and support troubleshooting and triage in case of problems. Recently a new certificate management infrastructure called Distributed Computing Access with Federated Identities (DCAFI) has been put in place that has eliminated our dependence on a Fermilab-specific third-party Certificate Authority service and better accommodates FIFE collaborators without a Fermilab Kerberos account. DCAFI integrates the existing InCommon federated identity infrastructure, CILogon Basic CA, and a MyProxy service using a new general purpose open source tool. We will discuss the general FIFE onboarding strategy, progress in expanding FIFE experiments presence on the Open Science Grid, new tools for job monitoring, the POMS service, and the DCAFI project.
Journal of Physics: Conference Series | 2012
Corrado Gatto; V. Di Benedetto; A. Mazzacane
The physics program at future colliders demands an energy resolution of the calorimetric component of detectors at the limits of traditional techniques. The ADRIANO technology (A Dual-readout Integrally Active Non-segmented Option) is under development with an expected excellent performance. Results from detailed Monte Carlo studies on performance with respect to energy resolution, linear response and transverse containment and a preliminary optimization of the layout are presented. A baseline configuration is chosen with an estimated energy resolution of σ(E)/E ≈ 30%/√E, to support an extensive R&D program recently started by T1015 Collaboration at Fermilab. Preliminary results from a test beam at the Fermilab Test Beam Facility (FTBF) of a ~ 1λI prototype are presented, along with simulation studies. Future prospects with ultra-heavy glass are, also, summarized.
arXiv: High Energy Physics - Phenomenology | 2013
Yuri Alexahin; A. Mazzacane; Tao Han; R. Raja; Rolland Johnson; J.F. Gunion; Hans Wenzel; Ron Lipton; Mary Anne Cummings; S. Striganov; Nikolai Terentiev; N. Mokhov; Mark Palmer; Vito Di Benedetto; G. Hanson; Charles M. Ankenbrandt; Benjamin Grinstein; Christopher Hill; Tom Markiewicz; Zhen Liu; Corrado Gatto; Milind V. Purohit; Valeri Lebedev; S. Nagaitsev; Don Summers; D. Neuffer; D. Cline; E. Eichten; Alexander Conway; F. Ignatov
arXiv: High Energy Physics - Phenomenology | 2013
Yuri Alexahin; A. Mazzacane; Tao Han; R. Raja; Rolland Johnson; J.F. Gunion; Hans Wenzel; Ron Lipton; Mary Anne Cummings; S. Striganov; Nikolai Terentiev; N. Mokhov; Mark Palmer; Vito Di Benedetto; L.M. Lederman; G. Hanson; Charles M. Ankenbrandt; Benjamin Grinstein; Christopher Hill; C. Rubbia; Tom Markiewicz; Zhen Liu; Corrado Gatto; Milind V. Purohit; Valeri Lebedev; Jean-Pierre Delahaye; S. Nagaitsev; Don Summers; D. Neuffer; D. Cline
arXiv: Instrumentation and Detectors | 2016
Corrado Gatto; V. Di Benedetto; E. Hahn; A. Mazzacane
PoS | 2016
D. Box; K. Retzke; V. Di Benedetto; M. Mengel; J. Boyd; A. Kreymer; P. Mhashilkar; V. Podstavkov; M. Kirby; T. Levshina; K. Herner; G. Garzoglio; P. Ding; D. Dykstra; N. Sharma; A. Mazzacane; M. Fattoruso
Physics Procedia | 2012
Nikolai Terentiev; V. Di Benedetto; Corrado Gatto; A. Mazzacane; N. Mokhov; S. Striganov