Undergraduate student per el Barcelona Supercomputing Center

The challenge of the study of transient phenomena in space is to know when and where to look, or how to catch new events early to observe as much of the phenomena as possible. Major experiments have been deployed to realize full surveys of the sky by increasing the cadence and sensitivity of the observations. Observing from the ground has however complications like weather conditions. To mitigate these issues, a constellation of small telescopes can be brought to space to perform a full survey of the sky at high cadence with limited sensitivity.

The research activities will be focused on the following topics:

1. Use case analysis and requirements definition. This work will focus on exoplanet detection based on the transit technique, i.e., when a planet passes in front of its star, the star appears to dim, as some of its light is blocked by the planet. The objective is to select/develop the data processing algorithms needed for the detection of exoplanets and analyze their behavior in order to define the requirements of the system.

2. Performance opportunities. This work will focus on multi-core systems or host-centered heterogeneous systems. In this scope, the objective is to extract the parallel opportunities of the data-processing application by using high-level parallel programming models like OpenMP.

3. Platform analysis. This work will study of the requirements of the system in terms of hardware (e.g., cameras, processors) to be able to implement the use case at the cadence/sensitivity required.

Key Duties

• Study and development of the data analytics needed for exoplanet detection based on the transit technique
• Parallelization of the data analytics using high-level parallel programming models
• Study of the requirements of the hardware platform based on the cadence and sensitivity required for an acceptable functioning of the system

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