Controlling systematics in the Euclid spectroscopic sample

September 26 – 30, 2022

The Euclid mission will characterize dark energy and dark matter by using Galaxy Clustering measured from a spectroscopic sample of galaxies out to z~2 (the Euclid Wide Survey). The cosmological measurements are dominated by systematics, which are being investigated by two Work Packages associated with the Galaxy Clustering Science Working Group of the Euclid Consortium. Specifically, the End-to-End Simulations and the Observational Systematics Work Packages (WPs). This meeting brings together the scientists working within these two work packages to coordinate our effort to characterize and control the expected systematics in the spectroscopic sample of the Euclid Wide Survey. Controlling and mitigating for systematics require the coordination of different expertises, from deep knowledge of the instrument, to understanding of galaxy clustering estimators and cosmological parameters estimation. A hands-on meeting is needed to push forward (or in some cases to kick off) our work on several pre-launch key-project papers that are coordinated by these WPs.

Reference webpage:

Scientific organizers:

  • Michele Moresco (University of Bologna)
  • Sylvain de la Torre (Laboratoire d’Astrophysique de Marseille)
  • Pierluigi Monaco (University of Trieste)


  • Sean Bruton (University of Minnesota)
  • Tiago Castro (INAF, Osservatorio Astronomico di Trieste)
  • Stefano Dusini (Università di Padova)
  • Ismael Ferrero (Institute of Theoretical Astrophysics, University of Oslo)
  • Luigi Guzzo (Università di Milano)
  • Guilhem Lavaux (Institut d’Astrophysique de Paris, CNRS)
  • Sujeong Lee (NASA, Jet Propulsion Laboratory)
  • Dida Markovic (NASA, Jet Propulsion Laboratory)
  • Kevin McCarthy (Caltech, Jet Propulsion Laboratory)
  • Kevin Pardede (SISSA)
  • Will Percival (University of Waterloo)
  • Jacopo Salvalaggio (Università di Trieste)
  • Emiliano Sefusatti (INAF, Osservatorio Astronomico di Trieste)
  • Antonino Troja (INFN, Padova)