Publicaciones en colaboración con investigadores/as de Aalto University (67)

2022

  1. Active Galactic Nuclei population studies with the Cherenkov Telescope Array

    Proceedings of Science

  2. Application of pattern spectra and convolutional neural networks to the analysis of simulated Cherenkov Telescope Array data

    Proceedings of Science

  3. Detection methods for the Cherenkov Telescope Array at very-short exposure times

    Proceedings of Science

  4. Exploring the population of Galactic very-high-energy γ-ray sources

    Proceedings of Science

  5. HAWC J2227+610: a potential PeVatron candidate for the CTA in the northern hemisphere

    Proceedings of Science

  6. Investigating the Blazar TXS 0506+056 through Sharp Multiwavelength Eyes during 2017-2019

    Astrophysical Journal, Vol. 927, Núm. 2

  7. MAGIC and H.E.S.S. detect VHE gamma rays from the blazar OT 081 for the first time: a deep multiwavelength study

    Proceedings of Science

  8. Monte Carlo Simulations and Validation of NectarCAM, a Medium Sized Telescope Camera for CTA

    Proceedings of Science

  9. Multiwavelength monitoring of the gravitationally lensed blazar QSO B0218+357 between 2016 and 2020

    Proceedings of Science

  10. Multiwavelength study of the gravitationally lensed blazar QSO B0218+357 between 2016 and 2020

    Monthly Notices of the Royal Astronomical Society, Vol. 510, Núm. 2, pp. 2344-2362

  11. Multiwavelength variability and correlation studies of Mrk 421 during historically low X-ray and γ-ray activity in 2015–2016

    Proceedings of Science

  12. Performance of a proposed event-type based analysis for the Cherenkov Telescope Array

    Proceedings of Science

  13. Performance of the Cherenkov Telescope Array in the presence of clouds

    Proceedings of Science

  14. Prospects for Galactic transient sources detection with the Cherenkov Telescope Array

    Proceedings of Science

  15. Prototype Open Event Reconstruction Pipeline for the Cherenkov Telescope Array

    Proceedings of Science

  16. Reconstruction of stereoscopic CTA events using deep learning with CTLearn

    Proceedings of Science