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Astrophysique Interprétation Modélisation

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Articles

Geometric deep learning for galaxy-halo connection: a case study for galaxy intrinsic alignments

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By Yesukhei Jagvaral, Carnegie Mellon, François Lanusse, Astrophysique Interprétation Modélisation
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Article Dans Une Revue Monthly Notices of the Royal Astronomical Society Année : 2025 Geometric deep learning for galaxy-halo connection: a case study for galaxy intrinsic alignments Origine Fichiers produits par l'(les) auteur(s) Licence hal-05412124 , version 1 (11-12-2025) Yesukhei Jagvaral, François Lanusse, Rachel Mandelbaum. Geometric deep learning for galaxy-halo connection: a case study for galaxy intrinsic alignments.
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The role of turbulence in setting the phase of the ISM and implications for the star formation rate

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By Astrophysique Interprétation Modélisation, Patrick Hennebelle, Tine Colman, Noé Brucy
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Article Dans Une Revue Open Journal of Astrophysics Année : 2025 The role of turbulence in setting the phase of the ISM and implications for the star formation rate Origine Fichiers produits par l'(les) auteur(s) hal-05409598 , version 1 (10-12-2025) Tine Colman, Patrick Hennebelle, Noé Brucy, Pierre Dumond, Philipp Girichidis, et al.. The role of turbulence in setting the phase of the ISM and implications for the star formation rate. Open Journal of Astrophysics, 2025, ⟨10.33232/001c.147517⟩.
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Optimal neural summarisation for full-field weak lensing cosmological implicit inference

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By Denise Lanzieri, Astrophysique Interprétation Modélisation, Justine Zeghal
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Article Dans Une Revue Astronomy and Astrophysics Review Année : 2025 Optimal neural summarisation for full-field weak lensing cosmological implicit inference Domaines Origine Publication financée par une institution Licence hal-04660634 , version 1 (19-05-2025) Denise Lanzieri, Justine Zeghal, T. Lucas Makinen, Alexandre Boucaud, Jean-Luc Starck, et al.. Optimal neural summarisation for full-field weak lensing cosmological implicit inference. Astronomy and Astrophysics Review, 2025, 697, pp.A162.
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