Mr. Pau Colomer Criach Profile

Pau Colomer Criach

at GTD Ingenieria de Sistemas y de Software SA

SPIE Involvement:

Author

Websites:

Company Website

Publications (3)

Proceedings Article | 8 August 2016 Paper

ACS from development to operations

Alessandro Caproni, Pau Colomer, Bogdan Jeram, Heiko Sommer, Gianluca Chiozzi, Miguel Mañas

Proceedings Volume 9913, 991313 (2016) https://doi.org/10.1117/12.2231700

KEYWORDS: Software development, Observatories, Telescopes, Antennas, Astronomy, Distributed computing, Databases, Floods, Fermium, Frequency modulation

Read Abstract +

Proceedings Article | 6 August 2014 Paper

Artificial intelligence for the CTA Observatory scheduler

Josep Colomé, Pau Colomer, Jordi Campreciós, Thierry Coiffard, Emma de Oña, Giovanna Pedaletti, Diego Torres, Alvaro Garcia-Piquer

Proceedings Volume 9149, 91490H (2014) https://doi.org/10.1117/12.2057090

KEYWORDS: Observatories, Neurons, Telescopes, Device simulation, Atmospheric Cherenkov telescopes, Artificial intelligence, Evolutionary algorithms, Prototyping, Calibration, Computer simulations

Read Abstract +

The Cherenkov Telescope Array (CTA) project will be the next generation ground-based very high energy gamma-ray instrument. The success of the precursor projects (i.e., HESS, MAGIC, VERITAS) motivated the construction of this large infrastructure that is included in the roadmap of the ESFRI projects since 2008. CTA is planned to start the construction phase in 2015 and will consist of two arrays of Cherenkov telescopes operated as a proposal-driven open observatory. Two sites are foreseen at the southern and northern hemispheres. The CTA observatory will handle several observation modes and will have to operate tens of telescopes with a highly efficient and reliable control. Thus, the CTA planning tool is a key element in the control layer for the optimization of the observatory time. The main purpose of the scheduler for CTA is the allocation of multiple tasks to one single array or to multiple sub-arrays of telescopes, while maximizing the scientific return of the facility and minimizing the operational costs. The scheduler considers long- and short-term varying conditions to optimize the prioritization of tasks. A short-term scheduler provides the system with the capability to adapt, in almost real-time, the selected task to the varying execution constraints (i.e., Targets of Opportunity, health or status of the system components, environment conditions). The scheduling procedure ensures that long-term planning decisions are correctly transferred to the short-term prioritization process for a suitable selection of the next task to execute on the array. In this contribution we present the constraints to CTA task scheduling that helped classifying it as a Flexible Job-Shop Problem case and finding its optimal solution based on Artificial Intelligence techniques. We describe the scheduler prototype that uses a Guarded Discrete Stochastic Neural Network (GDSN), for an easy representation of the possible long- and short-term planning solutions, and Constraint Propagation techniques. A simulation platform, an analysis tool and different test case scenarios for CTA were developed to test the performance of the scheduler and are also described.

Proceedings Article | 13 September 2012 Paper

Research on schedulers for astronomical observatories

Josep Colome, Pau Colomer, Josep Guàrdia, Ignasi Ribas, Jordi Campreciós, Thierry Coiffard, Lluis Gesa, Francesc Martínez, Florian Rodler

Proceedings Volume 8448, 84481L (2012) https://doi.org/10.1117/12.926899

KEYWORDS: Observatories, Astronomy, Evolutionary algorithms, Telescopes, Algorithm development, Genetic algorithms, Control systems, Device simulation, Algorithms, Computer simulations

Read Abstract +

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