Dr. Javier Zaragoza Profile

Dr. Javier Zaragoza

at Centro de Estudios de Física del Cosmos de Aragón

SPIE Involvement:

Author

Publications (2)

Proceedings Article | 17 August 2024 Presentation

Update on the TolTEC project

Grant Wilson, Itziar Aretxaga, Emmaly Aguilar, Jason Austermann, Marc Berthoud, Nat DeNigris, Daniela Espitia, Sean Bryan, Daniel Ferrusca, Laura Fissel, Joseph Golec, Alejandro Garcia, Victor Gomez, Robert Gutermuth, David Hughes, Dennis Lee, Emily Lunde, Abraham Luna, Zhiyuan Ma, Philip Mauskopf, Michael McCrackan, Jeff McMahon, Giles Novak, Alexandra Pope, Ricardo Rodriguez, F. Peter Schloerb, Kamal Souccar, Omar Serrano, Marcial Tapia, Felix Thiel, Carole Tucker, Samantha Walker, Hailin Wang, Eric Weeks, Min Yun, Miguel Velazquez, Javier Zaragoza

Proceedings Volume PC13102, PC1310201 (2024) https://doi.org/10.1117/12.3018473

Read Abstract +

Proceedings Article | 25 July 2024 Presentation + Paper

How high-level integration tools, including artificial intelligence, enable operational and technological synergies in our observatories

A. Yanes-Díaz, S. Rueda Teruel, R. Bello, D. Lozano-Pérez, M. Cervera-Cortés, T. Civera, M. Dominguez-Martínez, N. Martinez-Olivar, S. Chueca, C. Iñiguez, A. Marin-Franch, F. Rueda Teruel, G. López-Alegre, S. Bielsa, J. Muñoz-Maudos, H. Rueda-Asensio, A. Muñoz-Teruel, D. Garcés-Cubel, M. Almarcegui-Garcia, A. J. Cenarro, M. Moles, C. López-Sanjuan, H. Vázquez Ramió, J. Zaragoza-Cardiel, L. Valdivielso-Casas, S. Pyrzas, D. Cristobal-Hornillos, J. Varela, M. Díaz-Martín, R. Iglesias-Marzoa, N. Maícas-Sacristán, J. Lamadrid-Gutierrez, F. López-Martínez, P. Galindo-Guil, E. Lacruz-Calderón, J. Castillo, A. López-Sainz, M. Akhlaghi, J. Hernández-Fuertes, D. Muniesa-Gallardo, A. Moreno-Signes, A. Hernán-Caballero, H. Vives-Arias, G. Lorenzetti, A. Ederoclite, A. del Pino, J. Fernández-Ontiveros, F. Hernández-Pérez, R. Infante-Sainz, T. Kuutma, D. Lumbreras-Calle, S. Eskandarlou, A. Domínguez-Fernández, F. Arizo-Borillo, H. Domínguez-Sánchez, J. Alzate-Trujillo, R. Amorín-Barbieri, D. Fernández-Gil, A. Hidalgo-Pinilla, D. Morate-González, R. Payyasseri-Thanduparackal, J. Vega-Ferrero, S. Vaquero-Valer, I. Muñoz-Igado, M. Alegre-Sánchez, G. Julián-Caballero De España, A. Romero, M. Espallargas-Doñate, A. López-Colás

Proceedings Volume 13098, 1309802 (2024) https://doi.org/10.1117/12.3016187

KEYWORDS: Observatories, Telescopes, Artificial intelligence, Systems modeling, Data modeling, Astronomy, Control systems, Databases, Advanced process control, Automatic control, Automation, Facility engineering, Data transmission

Read Abstract +

The Observatorio Astrofísico de Javalambre (OAJ^†1 ) in Spain is a young astronomical facility, conceived and developed from the beginning as a fully automated observatory with the main goal of optimizing the processes in the scientific and general operation of the Observatory. The OAJ has been particularly conceived for carrying out large sky surveys with two unprecedented telescopes of unusually large fields of view: the JST/T250, a 2.55 m telescope of 3 deg field of view, and the JAST/T80, an 83 cm telescope of 2 deg field of view. The most immediate objective of the two telescopes for the next years is carrying out two unique photometric surveys of several thousand square degrees, J-PAS^†2 and J-PLUS^†3 , each of them with a wide range of scientific applications, like e.g. large structure cosmology and Dark Energy, galaxy evolution, supernovae, Milky Way structure, exoplanets, among many others. To do that, JST and JAST are equipped with panoramic cameras deployed within the J-PAS collaboration, JPCam and T80Cam respectively, which make use of large format (~ 10k x 10k) CCDs covering the entire focal plane. The first part of this paper elaborates on the organizational advantages realized through the incorporation of Enterprise Resource Planning (ERP) and Computerized Maintenance Management System (CMMS) in our operations. These administrative tools offer a coherent framework for workforce optimization, reducing operational costs, and achieving scientific objectives while maintaining stringent quality standards. Central to this strategy is the employment of a common inventory structure to facilitate seamless interdepartmental processes. The second section explores how emerging technologies, specifically Artificial Intelligence (AI), are integral in achieving a harmonized global framework. AI models and algorithms are instrumental in optimizing various facets of the observatory's operations, thereby furnishing the project with essential high-quality tools for success. This multi-faceted approach not only meets but exceeds operational and scientific targets within budgetary constraints, setting a benchmark for observatory operational efficiency and performance.

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years