BERTIN Emmanuel

Astronomer

[email protected]

Laboratoire d’Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères LERMA (UMR 8112)

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities

Climate, Environment & The Universe
Mathematics, Computer Science & Robotics

Skills

Artificial vision, Astrophysical data, Data analysis, Data fusion, Deep learning, Machine learning, Pattern recognition

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Selected publications

MaxiMask and MaxiTrack: two new tools for identifying contaminants
in astronomical images using convolutional neural networks, Paillassa M., Bertin E., Bouy H., 2019, submitted to A&A

Photometric redshifts from SDSS images using a convolutional neural network, Pasquet J., Bertin E. et al., 2019, A&A 621, 26

The strong gravitational lens finding challenge, Metcalf R. et al., 2019, A&A 625, 119

Finding high-redshift strong lenses in DES using convolutional neural networks, Jacobs C. et al., 2019, MNRAS 483, 5330

Cosmological Constraints from Multiple Probes in the Dark Energy Survey, Abbott T. et al. 2019, PhRvL122, 1301

International collaborations

Fermilab + Univ. Illinois + NCSA (USA): Dark Energy Survey
Observatoire de Geneve (Suisse) + Universite de Munich (Allemagne): SExtractor++