I am a permanent researcher at the Cosmostat group at CEA. My research focuses on new data analysis techniques for cosmological surveys. In particular, I developed a method to analyse weak lensing datasets at the pixel level to optimally extract all the cosmological information from the data and map the matter distribution in the Universe. I am also a member of the Euclid Consortium, where I apply these techniques and contribute to high-order statistics analyses.
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Before joining the Cosmostat group at CEA, I was a Beecroft fellow at the University of Oxford and a postdoc at Imperial College. During my PhD at the Max Planck Institute for Astrophysics, I developed a method to map the mass in the Universe from quasar spectra (Lyman-alpha forest) and a Bayesian treatment of unknown systematics in galaxy clustering surveys.
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Natalia Porqueres
Publications
"Hybrid summary statistics: neural weak lensing inference beyond the power spectrum"
Makinen, Heavens, NP, Charnock, Lapel, Wandelt (JCAP, 2024)
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"Accuracy requirements on intrinsic alignments for Stage-IV cosmic shear"
Paopiamsap, NP, Alonso, Harnois-Deraps, Leonard (OJA, 2024)
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"DISCO-DJ I: a differentiable Einstein-Boltzmann solver for cosmology"
Hahn, List, NP (JCAP, 2024)
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"Field-level inference of cosmic shear with intrinsic alignments and baryons"
NP, Heavens, Mortlock, Lavaux, Makinen (Submitted to MNRAS, 2023)
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"LyAl-Net: A high-efficiency Lyman-α forest simulation with a neural network"
Boonkongkird, Lavaux, Peirani, Dubois, NP, Tsaprazi (Submitted to A&A, 2023)
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"The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues".
Makinen, Charnock, Lemos, NP, Heavens, Wandelt (OJA, 2022).
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"Lifting weak lensing degeneracies with a field-based likelihood"
NP, Heavens, Mortlock, Lavaux (MNRAS, 2022).
"Bayesian forward modelling of cosmic shear data"
NP, Heavens, Mortlock, Lavaux (MNRAS, 2021)
NP, Hahn, Jasche, Lavaux (A&A, 2020)
"Inferring high redshift large-scale structure dynamics from the Lyman-alpha forest"
NP, Jasche, Lavaux, Ensslin (A&A, 2019).
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"Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys"
NP, Kodi Ramanah, Jasche, Lavaux (A&A, 2019).
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"Imprints of the large-scale structure on AGN formation and evolution."
NP, Jasche, Ensslin, Lavaux (A&A, 2018).
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"NIFTy 3 - Numerical Information Field Theory."
Steininger, Dixit, Frank, Greiner, Hutschenreuter, Knollmuller, Leike, NP, Pumpe, Reinecke, Sraml, Varady, Ensslin (Annalen der Physik, 2018)
"Cosmic expansion history from SNe Ia data via information field theory"
NP, Ensslin, Greiner, Boehm, et al. (A&A, 2017)
Contact
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Department of Astrophysics,
IRFU, CEA Saclay
Orme des Merisiers, Bat 709
91191 Gif-sur-Yvette
France