MB
Matthew R. Becker
Argonne National Laboratory, Civis Analytics, University of Chicago, University of Michigan, Stanford University
Research areas: Physics and Astronomy · Astronomy and Astrophysics · Galaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Dark Matter and Cosmic Phenomena
Employment
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Argonne National Laboratory Physicist2023 - Present
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Argonne National Laboratory Assistant Physicist2018 - 2023
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Civis Analytics Senior Data Scientist2016 - 2018
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Stanford University Postdoctoral Scholar2013 - 2016
Education
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University of Chicago Ph.D.2007 - 2013
- 2007 - 2008
- 2003 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (201)
- Differentiable Forward Modeling for Efficient and Accurate Shear Inference 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
- Biasing from galaxy trough and peak profiles with the DES Y3 redMaGiC galaxies and the weak lensing mass map Save
- Dark Energy Survey Year 6 Results: Cosmological Constraints from Cosmic Shear Save
- Dark Energy Survey Year 6 Results: Photometric Dataset for Cosmology Save
- Deep-field analytical calibration 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: Cosmological Constraints from Galaxy Clustering and Weak Lensing Save
- Dark Energy Survey Year 6 Results: Galaxy-galaxy lensing Save
- Dark Energy Survey Year 6 Results: Magnification modeling and its impact on galaxy clustering and galaxy-galaxy lensing cosmology Save
- Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework Save
- Dark Energy Survey Year 3 Results: Cosmological constraints from second- and third-order shear statistics Save
- Uniform Rolling: An LSST Observing Cadence Offering Sufficient Survey Uniformity for Comprehensive Cosmological Analysis Save
- Weak Lensing Mass Calibration of the ACT DR5 Galaxy Clusters with the DES Year 3 Weak Lensing Data Save
- Dark Energy Survey Year 3 results: Simulation-based $w$CDM inference from weak lensing and galaxy clustering maps with deep learning. I. Analysis design Save
- Dark Energy Survey Year 6 results: cell-based coadds and METADETECTION weak lensing shape catalogue Save
- cmbant/CAMB: v1.6.5 Save
- lsst/rubin_scheduler: v3.20.1 Save
- lsst/rubin_sim: v2.6.0 Save
- The DECADE cosmic shear project I: A new weak lensing shape catalog of 107 million galaxies Save