EK
Elisabeth Krause
California Institute of Technology, University of Bonn
Research areas: Physics and Astronomy · Astronomy and Astrophysics · Galaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Dark Matter and Cosmic Phenomena
0000-0001-8356-2014
Employment
Employment history is unavailable.
Education
- 2007 - 2012
- 2002 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (248)
- Backlighting the Universe with Fast Radio Bursts: An Anthology of Dispersion Measure Cross Correlations with Tracers of Large-scale Structure and Baryonic Matter Save
- Signatures of suppressed matter clustering revealed by fast radio bursts Save
- Dark Energy Camera All Data Everywhere cosmic shear project. V. Constraints on cosmology and astrophysics from 270 million galaxies across 13,000 deg2 of the sky Save
- Baryons in the Darkest Sites of the Universe Save
- Attention-based neural network emulators for multiprobe data vectors. III. Modeling the next generation surveys Save
- Cosmic shear with one component and its application to future radio surveys Save
- Quantifying the Impact of Selection Effects on FRB DM–z Relation Cosmological Inference Save
- The SPHEREx Satellite Mission Save
- Probing Baryonic Feedback and Cosmology with the 3 × 2-point Statistic of Fast Radio Bursts and Galaxies Save
- Dark Energy Survey Year 6 Results: Photometric Dataset for Cosmology Save
- Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data Save
- Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework Save
- The DECADE cosmic shear project III: validation of analysis pipeline using spatially inhomogeneous data Save
- The DECADE cosmic shear project IV: cosmological constraints from 107 million galaxies across 5,400 deg$^2$ of the sky Save
- A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics Save
- A Hydrodynamical Simulations-based Model that Connects the FRB DM–Redshift Relation to Suppression of the Matter Power Spectrum via Feedback Save
- Testing halo models for constraining astrophysical feedback with multi-probe modeling: I. 3D Power spectra and mass fractions Save
- Kinematic lensing inference – II. Cluster lensing with ℴ(1) galaxies Save
- Attention-based neural network emulators for multiprobe data vectors. I. Forecasting the growth-geometry split Save
- Attention-based neural network emulators for multiprobe data vectors. II. Assessing tension metrics Save