@CosmoStatLab

Département d'Astrophysique, @CEAParisSaclay @CEAstrophysique

 Saclay, France
cosmostat.org
Joined October 2014
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Congratulations to Dr. Denise Lanzieri for successfully defending her PhD thesis yesterday. Everyone at @CosmoStatLab is very proud! @CEA_Officiel @CEAIrfu @CEAstrophysique
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and space-based telescopes, e.g. HST and JWST.
Wavefront variations for HST and JWST.

ALT Wavefront variations for HST and JWST.

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Rubin-LSST,
Simualted PSF postage stamps for LSST for different exposure times.

ALT Simualted PSF postage stamps for LSST for different exposure times.

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as well as various examples for ground-based observatories e.g. CFHT/MegaCAM,
First component of PSF ellipticity and its residuals in the MegaCAM focal plane.

ALT First component of PSF ellipticity and its residuals in the MegaCAM focal plane.

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and Wavediff,
Schema of the WaveDiff algorithm.

ALT Schema of the WaveDiff algorithm.

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@CosmoStatLab students were out in force this week presenting their work at the @Euclid_FR meeting at @astroIAP. @deny_lan and @fabian_h_p talk about forecasting the power of HOS WL stats and mixed DM constraints! #euclid #cosmology
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Constraints are further improved when the cross-correlation between intensity mapping and DESI galaxies is included, showing the importance of the synergy. 5/5
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Then investigate synergies with optical surveys, such as @desisurvey and the Vera C. Rubin Observatory (VRO). Such synergies are powerful tools to remove systematic effects and degeneracies in the non-linear and small-scale modelling of the observables. 3/5
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Prize day! Congratulations to @JLStarck who is awarded the Tycho Brahe Medal #EAS2022 #EASValencia2022 Plenary talk on the evolution of Astrostatistics.
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Between local and global calibration we find a shift on Omega_m of 0.015 at most, within our statistical error bars. Indicating that the spatial bias is random, and not correlated e.g. to overdensities, PSF, galaxy properties, etc. We quantify such correlations in a big matrix:
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One of the uncertainties we looked at is spatially-varying shear bias, both shear and selection response from metacalibration. This is how it looks like:
Shear response and error, selection response and error, for CFIS-P3. Diagonal elements of the metacalibration matrices.

ALT Shear response and error, selection response and error, for CFIS-P3. Diagonal elements of the metacalibration matrices.

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His model outperforms state-of-the-art techniques such as PSFex. It manages to capture spatial and wavelength-dependent variations of the PSF, which are very important for space-based telescopes such as @EC_Euclid or @NASARoman. 5/5
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Tobias has developed a hybrid approach of physical model (using knowledge about the optical system), and a non-parametric part that is learned by looking at the observed data themselves. So, combining the best of two worlds into one model. 3/5
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A warm congratulations from all of us at @CosmoStatLab to Dr. Virginia Ajani for a very impressive defence of her PhD thesis!
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En Français: irfu.cea.fr/dap/Phocea/Vie_d… In English: irfu.cea.fr/dap/en/Phocea/Vi… « @vpettorino reçoit le prix MCAA pour un parcours d’excellence »
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