Computer Science – Learning
Scientific paper
Sep 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011head...12.3202n&link_type=abstract
American Astronomical Society, HEAD meeting #12, #32.02
Computer Science
Learning
Scientific paper
I will describe a few of the most exciting prospects for learning about the physics, demography, and ecology of growing supermassive black holes over the coming 1-2 decades. Facilities that are largely built (e.g., ALMA, EVLA, NuSTAR), are under construction (e.g., Astro-H, e-ROSITA), are expected to be built (e.g., LSST), or will hopefully be built (e.g., Athena, JANUS, LISA-lite) should enable wide-ranging discoveries about the high-energy processes in active galaxies. They will also provide strong connections with the enormous and still growing data archives from current X-ray and gamma-ray missions.
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