Dealing with missing data in the MICROSCOPE space mission: An adaptation of inpainting to handle colored-noise data

Sandrine Pires, Joel Bergé, Quentin Baghi, Pierre Touboul, and Gilles Métris
Phys. Rev. D 94, 123015 – Published 27 December 2016

Abstract

The MICROSCOPE space mission, launched on April 25, 2016, aims to test the weak equivalence principle (WEP) with a 1015 precision. Reaching this performance requires an accurate and robust data analysis method, especially since the possible WEP violation signal will be dominated by a strongly colored noise. An important complication is brought by the fact that some values will be missing—therefore, the measured time series will not be strictly regularly sampled. Those missing values induce a spectral leakage that significantly increases the noise in Fourier space, where the WEP violation signal is looked for, thereby complicating scientific returns. Recently, we developed an inpainting algorithm to correct the MICROSCOPE data for missing values. This code has been integrated in the official MICROSCOPE data processing and analysis pipeline because it enables us to significantly measure an equivalence principle violation (EPV) signal in a model-independent way, in the inertial satellite configuration. In this work, we present several improvements to the method that may allow us now to reach the MICROSCOPE requirements for both inertial and spin satellite configurations. The main improvement has been obtained using a prior on the power spectrum of the colored noise that can be directly derived from the incomplete data. We show that after reconstructing missing values with this new algorithm, a least-squares fit may allow us to significantly measure an EPV signal with a 0.96×1015 precision in the inertial mode and 1.20×1015 precision in the spin mode. Although, the inpainting method presented in this paper has been optimized to the MICROSCOPE data, it remains sufficiently general to be used in the general context of missing data in time series dominated by an unknown colored noise. The improved inpainting software, called inpainting for colored-noise dominated signals, is freely available at http://www.cosmostat.org/software/icon.

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  • Received 17 June 2016

DOI:https://doi.org/10.1103/PhysRevD.94.123015

© 2016 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Sandrine Pires1,*, Joel Bergé2, Quentin Baghi2,†, Pierre Touboul2, and Gilles Métris3

  • 1Laboratoire AIM, UMR CEA-CNRS-Université Paris Diderot, IRFU/SAp-SEDI, CEA Saclay Orme des Merisiers 91191 Gif-sur-Yvette, France
  • 2ONERA—The French Aerospace Lab, 29 avenue de la Division Leclerc, 92320 Châtillon, France
  • 3Geoazur (UMR 7329), Observatoire de la Côte d’Azur Bt 4, 250 rue Albert Einstein, Les Lucioles 1, Sophia Antipolis, 06560 Valbonne, France

  • *sandrine.pires@cea.fr
  • Present address: Geoazur (UMR 7329), Observatoire de la Côte d’Azur Bt 4, 250 rue Albert Einstein, Les Lucioles 1, Sophia Antipolis, 06560 Valbonne, France.

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Vol. 94, Iss. 12 — 15 December 2016

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