LIP - AP - Detetores, Aplicações, Computação
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- ANTS2 package: simulation and experimental data processing for Anger camera type detectorsPublication . Morozov, A.; Solovov, V.; Martins, R.; Neves, F.; Domingos, V.; Chepel, V.ANTS2 is a simulation and data processing package developed for position sensitive detectors with Anger camera type readout. The simulation module of ANTS2 is based on ROOT package from CERN, which is used to store the detector geometry and to perform 3D navigation. The module is capable of simulating particle sources, performing particle tracking, generating photons of primary and secondary scintillation, tracing optical photons and generating photosensor signals. The reconstruction module features several position reconstruction methods based on the statistical reconstruction algorithms (including GPU-based implementations), artificial neural networks and k-NN searches. The module can process simulated as well as imported experimental data containing photosensor signals. A custom library for B-spline parameterization of spatial response of photosensors is implemented which can be used to calculate and parameterize the spatial response of a detector. The package includes a graphical user interface with an extensive set of configuration, visualization and analysis tools. ANTS2 is being developed with the focus on the iterative (adaptive) reconstruction of the detector response using flood field irradiation data. The package is implemented in C++ programming language and it is a multiplatform, open source project.
- A Cloud-Based Framework for Machine Learning Workloads and ApplicationsPublication . Lopez Garcia, Alvaro; De Lucas, Jesus Marco; Antonacci, Marica; Zu Castell, Wolfgang; David, Mario; Hardt, Marcus; Lloret Iglesias, Lara; Molto, Germen; Plociennik, Marcin; Tran, Viet; Alic, Andy S.; Caballer, Miguel; Plasencia, Isabel Campos; Costantini, Alessandro; Dlugolinsky, Stefan; Duma, Doina Cristina; Donvito, Giacinto; Gomes, Jorge; Heredia Cacha, Ignacio; Ito, Keiichi; Kozlov, Valentin Y.; Nguyen, Giang; Orviz Fernandez, Pablo; Sustr, Zdenek; Wolniewicz, Pawel
- Enabling rootless Linux Containers in multi-user environments: the $udocker$ toolPublication . Gomes, Jorge; Bagnaschi, Emanuele; Campos, Isabel; David, Mario; Alves, Luís; Martins, João; Pina, João; López-García, Alvaro; Orviz, PabloContainers are increasingly used as means to distribute and run Linux services and applications. In this paper we describe the architectural design and implementation of udocker , a tool which enables the user to execute Linux containers in user mode. We also present a few practical applications, using a range of scientific codes characterized by different requirements: from single core execution to MPI parallel execution and execution on GPGPUs.
- Lessons learned from the ATLAS performance studies of the Iberian Cloud for the first LHC running periodPublication . Sanchez-Martinez, V.; Borges, G.; Borrego, C.; Peso, J.del; Delfino, M.; Gomes, J.; Gonzales de la Hoz, S.; Pacheco Pages, A.; Salt, J.; Sedov, A.; Villaplana, M.; Wolters, H.In this contribution we describe the performance of the Iberian (Spain and Portugal) ATLAS cloud during the first LHC running period (March 2010-January 2013) in the context of the GRID Computing and Data Distribution Model. The evolution of the resources for CPU, disk and tape in the Iberian Tier-1 and Tier-2s is summarized. The data distribution over all ATLAS destinations is shown, focusing on the number of files transferred and the size of the data. The status and distribution of simulation and analysis jobs within the cloud are discussed. The Distributed Analysis tools used to perform physics analysis are explained as well. Cloud performance in terms of the availability and reliability of its sites is discussed. The effect of the changes in the ATLAS Computing Model on the cloud is analyzed. Finally, the readiness of the Iberian Cloud towards the first Long Shutdown (LS1) is evaluated and an outline of the foreseen actions to take in the coming years is given. The shutdown will be a good opportunity to improve and evolve the ATLAS Distributed Computing system to prepare for the future challenges of the LHC operation.
- Long term experience in Autonomous Stations and production quality controlPublication . Lopes, L.; Alves, A.B.; Assis, P.; Blanco, A.; Carolino, N.; Cerda, M.A.; Conceição, R.; Cunha, O.; Dobrigkeit, C.; Ferreira, M.; Fonte, P.; de Almeida, L.; Luz, R.; Martins, V.B.; Mendes, L.; Nogueira, J.C.; Pereira, A.; Pimenta, M.; Sarmento, R.; de Souza, V.; Tomé, B.
- OPENCoastS: An open-access service for the automatic generation of coastal forecast systemsPublication . Oliveira, A.; Fortunato, A.B.; Rogeiro, J.; Teixeira, J.; Azevedo, A.; Lavaud, L.; Bertin, X.; Gomes, J.; David, M.; Pina, J.; Rodrigues, M.; Lopes, P.
- Orbit-Like Proton Radiation Sensitivity of CdTe Detectors: Evaluation of Mobility-Lifetime Products and Spectroscopic PropertiesPublication . Pascoa, M. P.; Maia, J. M.; Auricchio, N.; Curado da Silva, R. M.; Crespo, P.; do Carmo, S. J. C.; Moita, M.; Alves, F.; Caroli, E.
- Phenomenology Tools on Cloud Infrastructures using OpenStackPublication . Campos, I.; Fernandez-del-Castillo, E.Fernandez; Heinemeyer, S.; Lopez-Garcia, A.; Pahlen, F.v.d.; Borges, G.We present a new environment for computations in particle physics phenomenology employing recent developments in cloud computing. On this environment users can create and manage “virtual” machines on which the phenomenology codes/tools can be deployed easily in an automated way. We analyze the performance of this environment based on “virtual” machines versus the utilization of physical hardware. In this way we provide a qualitative result for the influence of the host operating system on the performance of a representative set of applications for phenomenology calculations.
- Software Quality Assurance in INDIGO-DataCloud Project: a Converging Evolution of Software Engineering Practices to Support European Research e-InfrastructuresPublication . Orviz Fernández, Pablo; David, Mário; Duma, Doina Cristina; Ronchieri, Elisabetta; Gomes, Jorge; Salomoni, Davide
- The e-ASTROGAM gamma-ray space observatory for the multimessenger astronomy of the 2030sPublication . e-ASTROGAM collaboration (77 authors); De Angelis, A.; Curado da Silva, R.M.e-ASTROGAM is a concept for a breakthrough observatory space mission carrying a γ-ray telescope dedicated to the study of the non-thermal Universe in the photon energy range from 0.15 MeV to 3 GeV. The lower energy limit can be pushed down to energies as low as 30 keV for gamma-ray burst detection with the calorimeter. The mission is based on an advanced space-proven detector technology, with unprecedented sensitivity, angular and energy resolution, combined with remarkable polarimetric capability. Thanks to its performance in the MeV–GeV domain, substantially improving its predecessors, e-ASTROGAM will open a new window on the non-thermal Universe, making pioneering observations of the most powerful Galactic and extragalactic sources, elucidating the nature of their relativistic outflows and their effects on the surroundings. With a line sensitivity in the MeV energy range one to two orders of magnitude better than previous and current generation instruments, e-ASTROGAM will determine the origin of key isotopes fundamental for the understanding of supernova explosion and the chemical evolution of our Galaxy. The mission will be a major player of the multiwavelength, multimessenger time-domain astronomy of the 2030s, and provide unique data of significant interest to a broad astronomical community, complementary to powerful observatories such as LISA, LIGO, Virgo, KAGRA, the Einstein Telescope and the Cosmic Explorer, IceCube-Gen2 and KM3NeT, SKA, ALMA, JWST, E-ELT, LSST, Athena, and the Cherenkov Telescope Array.