Selection of publications

Theoretical cosmological studies

LSST & DESC

  • DESC Coll, 2020 The LSST DESC DC2 Simulated Sky Survey arXiv:2010.05926
  • Z. Ivezic et al. ApJ 2019 LSST: from Science Drivers to Reference Design and Anticipated Data Products arXiv:0805.2366
  • R. Ansari et al. A&A 2019 Impact of photometric redshifts on the galaxy power spectrum and BAO scale in the LSST survey arXiv:1902.03004
  • J.E. Campagne et al. ApJ 2017 A direct method to compute the galaxy count angular correlation function including redshift-space distortions arXiv:1703.02818
  • J.E. Campagne et al. A&A 2017 Angpow: a software for the fast computation of accurate tomographic power spectra arXiv:1701.03592
  • A. Gorecki et al. A&A 2014 A new method to improve photometric redshift reconstruction. Applications to the Large Synoptic Survey Telescope arXiv:1301.3010

Intensity mapping and 21cm Cosmology

  • F. Wu et al. MNRAS 2021 The Tianlai Dish Pathfinder Array: design, operation and performance of a prototype transit radio interferometer arXiv:2011.05946
  • J. Li et al. Science China Physics, Mechanics & Astronomy 2020 The Tianlai Cylinder Pathfinder Array: System Functions and Basic Performance Analysis arXiv:2006.05605
  • R.Ansari et al. MNRAS 2020 Design, operation and performance of the PAON4 prototype transit interferometer arXiv:1910.07956
  • S. Zuo et al. Astron.J 2018 21cm Signal Recovery via the Robust Principle Component Analysis arXiv:1801.04082
  • J. Zhang et al. MNRAS 2016 Sky reconstruction from transit visibilities: PAON-4 and Tianlai Dish Array arXiv:1606.03090
  • R. Ansari et al. A&A 2012 21 cm observation of large-scale structures at z ~ 1. Instrument sensitivity and foreground subtraction arXiv:1108.1474

Microlensing and interstellar scintillation

  • Z. T. Blaineau, and M. Moniez. A&A 2020 Parallax in microlensing toward the Magellanic Clouds : effect on detection efficiency and detectability arXiv:2003.11308
  • M. Moniez et al.A&A 2017 Understanding EROS2 observations toward the spiral arms within a classical Galactic model framework arXiv:1701.07006
  • A. Mirhosseini and M. Moniez. A&A 2018 The MEMO project : Combining all microlensing surveys to search for intermediate-mass Galactic black holes. arXiv:1711.10898
  • F. Habibi et al. A&A 2013 Simulation of Optical Interstellar Scintillation. arXiv:1301.0514

Big data, Machine learning and computing

  • A. Moller et al. MNRAS 2021 Fink, a new generation of broker for the LSST community arXiv:2009.1018
  • LSST DESC et al. 2021 DESC DC2 Data Release Note arXiv:2101.04855
  • S.Plaszczynski et al, Scaling pair count to next galaxy surveys arXiv:2012.08455
  • J.E. Campagne (2020) Adversarial training applied to Convolutional Neural Network for photometric redshift predictions arXiv:2002.10154
  • Plaszczynski et al, A&C 2019,  Analyzing billion-objects catalog interactively: Apache Spark for physicists arXiv:1807.03078
  • Peloton, J., Arnault, C. & Plaszczynski, S. Computing and Software for Big Science 2018 FITS Data Source for Apache Spark arXiv:1804.07501

CMB/Planck, Cosmological parameter fits :