We are exploring a method to identify and constrain the fraction of dark matter composed of intermediate-mass black holes and to precisely measure the mass of individual black holes in the Milky Way. This research could be applied to the characterization of satellites and debris and thus supports efforts in space surveillance and security.
Chapline, G. 2019. "Was There a Negative Vacuum Energy in Your Past?"Journal of Modern Physics, 10, 1166-1176. doi:10.4236/jmp.2019.1010077. LLNL-JRNL-784338.
Bechtol, K., et al. 2019. "Dark Matter Science in the Era of LSST." LLNL-TR-795278.
Dana, R. and W. Dawson, 2019. "Using Neural Networks to Detect Black Hole Dark Matter."LLNL-POST-783977.
Dawson, W. 2019. "Black Holes Hiding in Plain Sight." LLNL-PRES-785679.
——— . 2019. "LSST: From Science Drivers to Reference Design and Anticipated Data Products." Astrophys. J. 873. doi:10.3847/1538-4357/ab042c. LLNL-JRNL-795297.
——— . 2019. "Primordial Black Hole Microlensing: The Einstein Crossing Time Distribution," Research Notes of the American Astronomical Society (3). doi:10.3847/2515-5172/ab1421. LLNL-JRNL-795261.
Dawson, W., and N. Golovich. 2019. "CTIO Dark Energy Camera Capabilities & Surveys Summary." LLNL-PRES-766214.
——— . 2019. "Strong and Weak Microlensing in the 2020s." LLNL-PRES-767061.
Dawson, W. and S. Mao. 2019. "Search for Galactic Black Holes: Microlensing." LLNL-PRES-767497.
Golovich, N. 2019. "Black Holes as Dark Matter: How New Discoveries Are Reinvigorating Old Theories." LLNL-PRES-760504.
Golovich, N. and W. Dawnson. 2019. "Reanalyzing MACHO for Long Timescale Parallax Events." LLNL-PRES-766737.
Li, J., et al., 2019. "From Stars to Compact Objects: The Initial-Final Mass Relation." LLNL-TR-795260.
Street, R., et al. 2019. "The Diverse Science Return from a Wide-Area Survey of the Galactic Plane." LLNL-TR-795285.
——— . 2019. "Unique Science from a Coordinated LSST-WFIRST Survey of the Galactic Bulge." LLNL-TR-795284.
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