8–13 Sept 2019
Europe/Rome timezone
All inquiries about receipts for the payment of the conference fee and/or dinner should be addressed to: a.vriz@fondazionealmamater.it, d.bordignon@fondazionealmamater.it

Data Mining and High Performance Computing in High-energy Astrophysics: the case of the Extragalactic X-ray pulsars.

13 Sept 2019, 15:56
2m

Speaker

Guillermo Andres Rodriguez Castillo (Istituto Nazionale di Astrofisica (INAF))

Description

The use of Big Data techniques and High Performance Computing (HPC) allows us to explore High-energy data archives in new ways, exploring and extracting new information buried in the fast growing volume of astrophysical data. I will talk about our mixed Data Mining and HPC approach and how it has allowed us to uncover a new population of Extragalactic Neutron Stars (NS), most of them - Ultra Luminous X-Ray sources (ULXs), a class believed to host intermediate-mass black holes. The discovery of these pulsating ULXs (PULXs), NS at strongly Super-Eddington luminosities, has change radically our views in the ULX population in general. I will describe these discoveries and their main implications and the future direction of our work in this field.

Affiliation National Institute for Astrophysics - Rome Astronomical Observatory
Topic Compact and diffuse sources in galaxies and in the Galactic Center

Primary author

Guillermo Andres Rodriguez Castillo (Istituto Nazionale di Astrofisica (INAF))

Co-author

GianLuca Israel (Istituto Nazionale di Astrofisica (INAF))

Presentation materials

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