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33 results on '"Mayo-García, R."'

1. Automatic Identification of MHD Modes in Magnetic Fluctuations Spectrograms using Deep Learning Techniques

Author

Bustos, A., Ascasibar, E., Cappa, A., and Mayo-Garcia, R.

Subjects
Physics - Plasma Physics, Computer Science - Machine Learning
Abstract

The control and mitigation of MHD oscillations modes is an open problem in fusion science because they can contribute to the outward particle/energy flux and can drive the device away from ignition conditions. It is then of general interest to extract the mode information from large experimental databases in a fast and reliable way. We present a software tool based on Deep Learning that can identify these oscillations modes taking Mirnov coil spectrograms as input data. It uses Convolutional Neural Networks that we trained with manually annotated spectrograms from the TJ-II stellarator database. We have tested several detector architectures, resultingin a detector AUC score of 0.99 on the test set. Finally, it is applied to find MHD modes in our spectrograms to show how this new software tool can be used to mine other databases.

Published
2020
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4. Contributions of the LAGO Collaboration to the 36th ICRC

Author

Alberto, A., Alvarez, W., Ancari, L., Uzieda, M. Andrade, Arceo, R., Areso, O., Arnaldi, L. H., Asorey, H., Audelo, M., Berazaín, E., Bertou, X., Bonilla-Rosales, M. J., Caballero-Mora, K. S., Calderón-Ardila, R., García, C. A. Calle, Campelo, J., Campos-Fauth, A., Cando, J., Carramiñana, A., Carrasco-Licea, E., Carrera, E., Castromonte-Flores, C., Cazar, D., Cogollo, D., Conde-Sanchez, R., Cotzomi, J., Dasso, S., De-Castro, A., Echiburú, M., García, L. G., Garibay-Orellana, A., González, M., Grisales-Casadiegos, J., Guachalla, N., Gulisano, A. M., Guzmán, R., Berisso, M. Gómez, Helo, J. C., Hueyotl-Zahuantitla, F., Hurtado, J. S., Jaimes-Motta, A., López, J., Manriquez, D., Bravo, Oscar Martínez, Martínez-Méndez, A., Meza, J. J. Masías, Mayo-García, R., Mijangos, L. G., Miranda, P. P., Montes, E., Morales, I. R., Morales-Olivares, O. G., Moreno, E., Muñoz, P., Navarro, F., Nina, C., Núñez, L. A., Otiniano-Ormachea, L., Paye, P., Pereira, M., Perez, H., Peña-Rodríguez, J., Pinillos, L. P., Pisco-Guabave, J., Ponce-Lancho, E., Pérez-Sánchez, L. R., Ergueta, M. S. Raljevic, Ramelli, M., Bretel, H. M. Rivera, Rosero, C., Rubio-Montero, A. J., Sacahui, J. R., Salazar, H., Samanés-Cárdenas, J., Santos, E., Sarmiento-Cano, C., Sidelnik, I., Haro, M. Sofo, Vasquez, M. A. Subieta, Suárez-Durán, M., Ticona, M., Ordoñez, R. R. Ticona, Peralta, R. D. Ticona, Vega, A., Vega, P., Vega-Martínez, J., Vesga-Ramirez, A., Vitoreti, D., Vásquez, N., Vásquez-Ramírez, A., Zepeda, A., H, Hugo de León, and Alvarez, C.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract

The LAGO (Latin American Giant Observatory) observatory is an experiment that spans over Latin America in a wide range of latitudes that gives different rigidity cut offs for the enter of cosmic rays in the atmosphere. The motivation of the Observatory is to study atmospheric radiation and space weather through the measurement of the secondary emission of low energy cosmic rays at ground level using Water Cherenkov Detectors (WCD). This work presents the contributions of the LAGO collaboration to the 2019 36th ICRC., Comment: International Cosmic Ray Conference 2019

Published
2019

5. The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains

Author

Asorey, H., Mayo-García, R., Núñez, L. A., Rodríguez-Pascual, M., Montero, A. J. Rubio, Suarez-Durán, M., and Torres-Niño, L. A.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

In this work the strategy of the Latin American Giant Observatory (LAGO) to build a Latin American collaboration is presented. Installing Cosmic Rays detectors settled all around the Continent, from Mexico to the Antarctica, this collaboration is forming a community that embraces both high energy physicist and computer scientists. This is so because the data that are measured must be analytical processed and due to the fact that \textit{a priori} and \textit{a posteriori} simulations representing the effects of the radiation must be performed. To perform the calculi, customized codes have been implemented by the collaboration. With regard to the huge amount of data emerging from this network of sensors and from the computational simulations performed in a diversity of computing architectures and e-infrastructures, an effort is being carried out to catalog and preserve a vast amount of data produced by the water-Cherenkov Detector network and the complete LAGO simulation workflow that characterize each site. Metadata, Permanent Identifiers and the facilities from the LAGO Data Repository are described in this work jointly with the simulation codes used. These initiatives allow researchers to produce and find data and to directly use them in a code running by means of a Science Gateway that provides access to different clusters, Grid and Cloud infrastructures worldwide., Comment: to be published in Proccedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing

Published
2016
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6. The Latin American Giant Observatory: Contributions to the 34th International Cosmic Ray Conference (ICRC 2015)

Author

The LAGO Collaboration, Alvarez, W., Alvarez, C., Araujo, C., Areso, O., Arnaldi, H., Asorey, H., Audelo, M., Barros, H., Bertou, X., Bonnett, M., Calderon, R., Calderon, M., Campos-Fauth, A., Carramiñana, A., Carrasco, E., Carrera, E., Cazar, D., Cifuentes, E., Cogollo, D., Conde, R., Cotzomi, J., Dasso, S., De Castro, A., De La Torre, J., De León, R., Estupiñan, A., Galindo, A., Garcia, L., Berisso, M. Gómez, González, M., Guevara, W., Gulisano, A. M., Hernández, H., Jaimes, A., López, J., Mantilla, C., Martín, R., Martínez-Mendez, A., Martínez, O., Martins, E., Masías-Meza, J. J., Mayo-García, R., Melo, T., Mendoza, J., Miranda, P., Montes, E., Morales, E., Morales, I., Moreno, E., Murrugarra, C., Nina, C., Núñez, L. A., Núñez-Castiñeyra, A., Otiniano, L., Peña-Rodríguez, J., Perenguez, J., Pérez, H., Perez, Y., Perez, G., Pinilla-Velandia, S., Ponce, E., Quishpe, R., Quispe, F., Ramelli, M., Reyes, K., Rivera, H., Rodriguez, J., Rodríguez-Pascual, M., Romero, M., Rubio-Montero, A. J., Salazar, H., Salinas, J., Sarmiento-Cano, C., Sidelnik, I., Haro, M. Sofo, Suárez-Durán, M., Subieta, M., Tello, J., Ticona, R., Torres, I., Torres-Niño, L., Truyenque, J., Valencia-Otero, M., Vargas, S., Vásquez, N., Villasenor, L., Zamalloa, M., and Zavala, L.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

The Latin American Giant Observatory (LAGO) is an extended cosmic ray observatory composed by a network of water-Cherenkov detectors spanning over different sites located at significantly different altitudes (from sea level up to more than $5000$\,m a.s.l.) and latitudes across Latin America, covering a huge range of geomagnetic rigidity cut-offs and atmospheric absorption/reaction levels. This detection network is designed to measure the temporal evolution of the radiation flux at ground level with extreme detail. The LAGO project is mainly oriented to perform basic research in three branches: high energy phenomena, space weather and atmospheric radiation at ground level. LAGO is built and operated by the LAGO Collaboration, a non-centralized collaborative union of more than 30 institutions from ten countries. These are the contributions of the LAGO Collaboration to the 34th International Cosmic Ray Conference, 30 July - 6 August 2015, The Hague, The Netherlands, Comment: 9 proceedings, the 34th International Cosmic Ray Conference, 30 July - 6 August 2015, The Hague, The Netherlands; in PoS(ICRC2015)

Published
2016

8. Calibration of a large water-Cherenkov detector at the Sierra Negra site of LAGO

Author

Alvarez, W., Alvarez, C., Araujo, C., Areso, O., Arnaldi, H., Asorey, H., Audelo, M., Barros, H., Bonnett, M., Calderon, R., Calderon, M., Campos-Fauth, A., Carramiñana, A., Carrasco, E., Carrera, E., Cazar, D., Cifuentes, E., Collogo, D., Conde, R., Cotzomi, J., Dasso, S., De Castro, A., De La Torre, J., De León, R., Estupiñan, A., Galindo, A., García, L., Gomez Berisso, M., González, M., Guevara, W., Gulisano, A.M., Hernández, H., Jaimes, A., López, J., Mantilla, C., Martín, R., Martinez-Mendez, A., Martínez, O., Martins, E., Macías-Meza, J.J., Mayo-García, R., Melo, T., Mendoza, J., Miranda, P., Montes, E., Morales, E., Morales, I., Moreno, E., Murrugarra, C., Nina, C., Núñez, L.A., Núñez-Castiñeyra, A., Otiniano, L., Peña-Rodríguez, J., Perenguez, J., Pérez, H., Pérez, Y., Pérez, G., Pinilla-Velandia, S., Ponce, E., Quishpe, R., Quispe, F., Ramelli, M., Reyes, K., Rivera, H., Rodriguez, J., Rodríguez-Ferreira, J., Rodríguez-Pascual, M., Romero, M., Rubio-Montero, A.J., Salazar, H., Salinas, J., Sarmiento-Cano, C., Sidelnik, I., Sofo Haro, M., Suárez-Durán, M., Subieta, M., Tello, J., Ticona, R., Torres, I., Torres-Niõ, L., Truyenque, J., Valencia-Otero, M., Vargas, S., Vásquez, N., Villaseñor, L., Zamalloa, M., Zavala, L., and Bonilla, M.

Published
2017
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9. User-Guided Provisioning in Federated Clouds for Distributed Calculations

Author

Rubio-Montero, A. J., Huedo, E., Mayo-García, R., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Pop, Florin, editor, and Potop-Butucaru, Maria, editor

Published
2015
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10. The data acquisition system of the Latin American Giant Observatory (LAGO)

Author

Alvarez, W., Alvarez, C., Araujo, C., Areso, O., Arnaldi, H., Asorey, H., Audelo, M., Barros, H., Bertou, X., Bonnett, M., Calderon, R., Calderon, M., Campos-Fauth, A., Carramiñana, A., Carrasco, E., Carrera, E., Cazar, D., Cifuentes, E., Cogollo, D., Conde, R., Cotzomi, J., Dasso, S., De Castro, A., De La Torre, J., De León, R., Estupiñan, A., Galindo, A., Garcia, L., Gómez Berisso, M., González, M., Guevara, W., Gulisano, A.M., Hernández, H., Jaimes, A., López, J., Mantilla, C., Martín, R., Martinez-Mendez, A., Martínez, O., Martins, E., Masías-Meza, J.J., Mayo-García, R., Melo, T., Mendoza, J., Miranda, P., Montes, E., Morales, E., Morales, I., Moreno, E., Murrugarra, C., Nina, C., Núñez, L.A., Núñez-Castiñeyra, A., Otiniano, L., Peña-Rodríguez, J., Perenguez, J., Pérez, H., Perez, Y., Perez, G., Pinilla-Velandia, S., Ponce, E., Quishpe, R., Quispe, F., Reyes, K., Rivera, H., Rodriguez, J., Rodríguez-Pascual, M., Romero, M., Rubio-Montero, A.J., Salazar, H., Salinas, J., Sarmiento-Cano, C., Sidelnik, I., Haro, M. Sofo, Suárez-Durán, M., Subieta, M., Tello, J., Ticona, R., Torres, I., Torres-Niño, L., Truyenque, J., Valencia-Otero, M., Vargas, S., Vásquez, N., Villasenor, L., Zamalloa, M., Zavala, L., Sofo Haro, M., and Arnaldi, L.H.

Published
2016
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16. Calibration of a large water-Cherenkov detector at the Sierra Negra site of LAGO

Author

Galindo, A., primary, Moreno, E., additional, Carrasco, E., additional, Torres, I., additional, Carramiñana, A., additional, Bonilla, M., additional, Salazar, H., additional, Conde, R., additional, Alvarez, W., additional, Alvarez, C., additional, Araujo, C., additional, Areso, O., additional, Arnaldi, H., additional, Asorey, H., additional, Audelo, M., additional, Barros, H., additional, Bonnett, M., additional, Calderon, R., additional, Calderon, M., additional, Campos-Fauth, A., additional, Carrera, E., additional, Cazar, D., additional, Cifuentes, E., additional, Collogo, D., additional, Cotzomi, J., additional, Dasso, S., additional, De Castro, A., additional, De La Torre, J., additional, De León, R., additional, Estupiñan, A., additional, Galindo, A., additional, García, L., additional, Gomez Berisso, M., additional, González, M., additional, Guevara, W., additional, Gulisano, A.M., additional, Hernández, H., additional, Jaimes, A., additional, López, J., additional, Mantilla, C., additional, Martín, R., additional, Martinez-Mendez, A., additional, Martínez, O., additional, Martins, E., additional, Macías-Meza, J.J., additional, Mayo-García, R., additional, Melo, T., additional, Mendoza, J., additional, Miranda, P., additional, Montes, E., additional, Morales, E., additional, Morales, I., additional, Murrugarra, C., additional, Nina, C., additional, Núñez, L.A., additional, Núñez-Castiñeyra, A., additional, Otiniano, L., additional, Peña-Rodríguez, J., additional, Perenguez, J., additional, Pérez, H., additional, Pérez, Y., additional, Pérez, G., additional, Pinilla-Velandia, S., additional, Ponce, E., additional, Quishpe, R., additional, Quispe, F., additional, Ramelli, M., additional, Reyes, K., additional, Rivera, H., additional, Rodriguez, J., additional, Rodríguez-Ferreira, J., additional, Rodríguez-Pascual, M., additional, Romero, M., additional, Rubio-Montero, A.J., additional, Salinas, J., additional, Sarmiento-Cano, C., additional, Sidelnik, I., additional, Sofo Haro, M., additional, Suárez-Durán, M., additional, Subieta, M., additional, Tello, J., additional, Ticona, R., additional, Torres-Niõ, L., additional, Truyenque, J., additional, Valencia-Otero, M., additional, Vargas, S., additional, Vásquez, N., additional, Villaseñor, L., additional, Zamalloa, M., additional, and Zavala, L., additional

Published
2017
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18. The data acquisition system of the Latin American Giant Observatory (LAGO)

Author

Sofo Haro, M., primary, Arnaldi, L.H., additional, Alvarez, W., additional, Alvarez, C., additional, Araujo, C., additional, Areso, O., additional, Arnaldi, H., additional, Asorey, H., additional, Audelo, M., additional, Barros, H., additional, Bertou, X., additional, Bonnett, M., additional, Calderon, R., additional, Calderon, M., additional, Campos-Fauth, A., additional, Carramiñana, A., additional, Carrasco, E., additional, Carrera, E., additional, Cazar, D., additional, Cifuentes, E., additional, Cogollo, D., additional, Conde, R., additional, Cotzomi, J., additional, Dasso, S., additional, De Castro, A., additional, De La Torre, J., additional, De León, R., additional, Estupiñan, A., additional, Galindo, A., additional, Garcia, L., additional, Gómez Berisso, M., additional, González, M., additional, Guevara, W., additional, Gulisano, A.M., additional, Hernández, H., additional, Jaimes, A., additional, López, J., additional, Mantilla, C., additional, Martín, R., additional, Martinez-Mendez, A., additional, Martínez, O., additional, Martins, E., additional, Masías-Meza, J.J., additional, Mayo-García, R., additional, Melo, T., additional, Mendoza, J., additional, Miranda, P., additional, Montes, E., additional, Morales, E., additional, Morales, I., additional, Moreno, E., additional, Murrugarra, C., additional, Nina, C., additional, Núñez, L.A., additional, Núñez-Castiñeyra, A., additional, Otiniano, L., additional, Peña-Rodríguez, J., additional, Perenguez, J., additional, Pérez, H., additional, Perez, Y., additional, Perez, G., additional, Pinilla-Velandia, S., additional, Ponce, E., additional, Quishpe, R., additional, Quispe, F., additional, Reyes, K., additional, Rivera, H., additional, Rodriguez, J., additional, Rodríguez-Pascual, M., additional, Romero, M., additional, Rubio-Montero, A.J., additional, Salazar, H., additional, Salinas, J., additional, Sarmiento-Cano, C., additional, Sidelnik, I., additional, Haro, M. Sofo, additional, Suárez-Durán, M., additional, Subieta, M., additional, Tello, J., additional, Ticona, R., additional, Torres, I., additional, Torres-Niño, L., additional, Truyenque, J., additional, Valencia-Otero, M., additional, Vargas, S., additional, Vásquez, N., additional, Villasenor, L., additional, Zamalloa, M., additional, and Zavala, L., additional

Published
2016
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30. A novel pilot job approach for improving the execution of distributed codes: application to the study of ordering in collisional transport in fusion plasmas.

Author

Rubio‐Montero, A.J., Castejón, F., Huedo, E., and Mayo‐García, R.

Subjects
HIGH performance computing, COMPUTER software execution, STOCHASTIC differential equations, GRID computing, PLASMA gases, DISTRIBUTED computing, CODING theory
Abstract

There are many applications in every scientific and engineering fields that have high computational requirements. They have to be adapted to either high-performance computing or high-throughput computing platforms, depending on their characteristics. For the latter case, the high volume of resources available in grid infrastructures should allow for a reduction of their calculation times and an increase of the accuracy of the results. Nevertheless, the low performance achieved by early-binding methods is noticeable, and the current systems based on pilot jobs are not suitable for running legacy applications. Therefore, running a wide range of codes quickly and easily can be infeasible for many users and developers. For this reason, it would be of great advantage to count on pilot job techniques that truly exploit grid resources in an efficient way while maintaining compatibility with legacy applications. In this work, GWpilot is presented as a complete pilot job framework that overcomes the adaptability limitations of other pilot job systems to tackle the challenge of efficiently accomplishing high-throughput calculations. To test the GWpilot system, two applications widely used for studying the properties of collisional transport in fusion plasmas (drift kinetic equation solver code and integrator of stochastic differential equations in plasmas) have been chosen as a proof of concept. Real calculations were performed with them to illustrate the adaptation process to the new framework and its performance. Additionally, the physics results obtained were analysed for completeness and further reading. Both applications also represent two different approaches further extended in the scientific community, that is, parameter sweep and Monte Carlo codes. Therefore, the general suitability of GWpilot for scientific and industrial applications belonging to other fields is demonstrated in this work. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Published
2015
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31. Enabling Intercontinental e-Infrastructures - a Case for Africa

Author

Rafael Mayo-García, Christos Kanellopoulos, Federico Ruggieri, Bruce Becker, Ognjen Prnjat, Roberto Barbera, Kostas Koumantaros, Prnjat O, Becker B, Barbera R, Kanellopoulos K, Koumantaros K, Mayo-García R, Ruggieri F, Prnjat, O., Becker, B., Barbera, R., Kanellopoulos, C., Koumantaros, K., Mayo-Garcia, R., and Ruggieri, F.

Subjects
Cloud federations, business.industry, e-Infrastructure, Grid interoperation, Data management, E-Infrastructures, E infrastructure, Cloud computing, Cloud federation, computer.software_genre, persistent identifiers, Electronic mail, Set (abstract data type), World Wide Web, Interoperation, Geography, Grid computing, E-Infrastructures, Grid interoperations, Cloud federations, data management, persistent identifiers, Grid interoperations, data management, business, Telecommunications, computer
Abstract

CHAIN-REDS, an EU co-funded project, focuses on promoting and supporting technological and scientific collaboration across different e-Infrastructures established and operated in various continents. The project implemented a Regional Operations Centre (ROC) model for enabling Grid computing interoperation across continents, and an operational ROC has been set up for Africa. Moreover, the project operates a global Cloud federation test-bed, where also nascent African Cloud sites contribute. Finally, the project is supporting a real-life use-case from Africa that of APHRC, using its data e-Infrastructure services.

Published
2015

32. ACORDE: A new application for estimating the dose absorbed by passengers and crews in commercial flights.

Author

Asorey H, Suárez-Durán M, and Mayo-García R

Abstract

Atmospheric radiation produced during the interaction of cosmic rays with the atmosphere could be considerably high at typical flight altitudes and constitutes a risk factor for people and avionics onboard the plane. In this work, we present ACORDE, a Monte Carlo-based method to estimate the dose during a commercial flight by using state-of-the-art simulation codes and considering the course travelled, the real-time atmospheric and geomagnetic conditions, and a model of the plane and an anthropomorphic phantom to obtain the effective dose on a flight-by-flight basis., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2023
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33. Execution data logs of a supercomputer workload over its extended lifetime.

Author

Rodríguez-Pascual M, Rubio-Montero AJ, Moríñigo JA, and Mayo-García R

Abstract

The data of this research describes the logged usage of the Euler cluster located at CIEMAT (Centre for Energy, Environment, and Technology Research), spanning the period between November 2008 and March 2018. The Euler database is open access in Parallel Workload Archive format, available from the PWA repository [1] and Mendeley Data [2], allowing in this way a whole new bunch of research possibilities on computer science., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2019 The Author(s).)

Published
2019
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