Computer Science – Performance
Scientific paper
Sep 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009dps....41.1618c&link_type=abstract
American Astronomical Society, DPS meeting #41, #16.18
Computer Science
Performance
Scientific paper
The PECO mission concept uses a D = 1.4 meter space-based telescope with a phase-induced amplitude apodization (PIAA) coronagraph to take high contrast ( 1e-10), high spatial resolution ( 100 mas) optical images of extrasolar systems with targets as close as 2 lambda/D to the host star over a 400-900 nm band. We use models of the PIAA system and of target systems (with Earth-like and gas giant planets, as well as interesting exozodiacal dust disks) to simulate the science images expected from PECO. These results allow us to evaluate the science performance of a PECO-sized PIAA coronagraph and to optimize tradeoffs in system and spacecraft-level requirements. We also use the simulation results to develop and refine our observing plans to correspond to a planned 3-year mission lifetime. With PECO, we will detect and characterize Earth-like exoplanets, follow up on planets detected with radial-velocity methods, and image exozodiacal disks and gas giants. Our results indicate that PECO can detect planets with 1-2 Earth radii and Earth-like albedos in the habitable zones of tens of nearby FGK stars with integration times of less than 1 day each. PECO can characterize giant planets around over a hundred stars in the same period of time, including a dozen planets already detected using radial velocity (RV) methods. Over its 3-year planned mission lifetime, PECO will survey about twenty nearby stars for Earth-like planets with multiple visits for high completeness, will confirm and characterize about a dozen RV-detected planets, and will make single observations of over a hundred stars for giant planets and dust disk structures. These same observations will also contribute to the detection and characterization of circumstellar dust disks. Detected planets will have extended follow-up observations in order to achieve SNRs of about 30 to characterize their spectral features and constrain their temperatures and orbits.
Belikov Ruslan
Cahoy Kerri Lynn
Guyon Olivier
Marley Mark
Schneider Gerardo
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