Michael A. Troxel
Assistant Professor of Physics
Research in High Energy Physics at Duke University awarded by Department of Energy (Co Investigator). 2013 to 2021
Update GalSim image simulation configuration handling awarded by (Principal Investigator). 2020
WFIRST Science Investigation Team: Cosmology with the WFIRST High Latitude Survey awarded by California Institute of Technology (Principal Investigator). 2019 to 2020
Ammazzalorso, S., et al. “Detection of Cross-Correlation between Gravitational Lensing and γ Rays.” Physical Review Letters, vol. 124, no. 10, Mar. 2020, p. 101102. Epmc, doi:10.1103/physrevlett.124.101102. Full Text
Troxel, M. A., et al. “A Synthetic WFIRST High-Latitude Imaging Survey: Simulation Suite and the Impact of Wavefront Errors on Weak Gravitational Lensing.” Arxiv E Prints, Dec. 2019, p. arXiv:1912.09481-arXiv:1912.09481.
Fang, Y., et al. “Dark energy survey year 1 results: The relationship between mass and light around cosmic voids.” Monthly Notices of the Royal Astronomical Society, vol. 490, no. 3, Dec. 2019, pp. 3573–87. Scopus, doi:10.1093/mnras/stz2805. Full Text
Muir, J., et al. “Blinding multi-probe cosmological experiments.” Arxiv E Prints, Nov. 2019, p. arXiv:1911.05929-arXiv:1911.05929.
Gatti, M., et al. “Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps – validation on simulations.” Arxiv E Prints, Nov. 2019, p. arXiv:1911.05568-arXiv:1911.05568.
Peeples, Molly, et al. “On the need for synthetic data and robust data simulators in the 2020s.” \Baas, vol. 51, Sept. 2019, pp. 210–210.
Omori, Y., et al. “Dark Energy Survey Year 1 Results: Cross-correlation between Dark Energy Survey Y1 galaxy weak lensing and South Pole Telescope +Planck CMB weak lensing.” Physical Review D, vol. 100, no. 4, Aug. 2019. Scopus, doi:10.1103/PhysRevD.100.043517. Full Text
Omori, Y., et al. “Dark Energy Survey Year 1 Results: Tomographic cross-correlations between Dark Energy Survey galaxies and CMB lensing from South Pole Telescope+Planck.” Physical Review D, vol. 100, no. 4, Aug. 2019. Scopus, doi:10.1103/PhysRevD.100.043501. Full Text
Peeples, Molly S., et al. “On the need for synthetic data and robust data simulators in the 2020s.” Arxiv E Prints, July 2019, p. arXiv:1907.07184-arXiv:1907.07184.