PPT-Observations and Modelling of WASP-19

Transits and Starspots Jeremy TregloanReed PhD Research Student jtrastrokeeleacuk Supervisor John Southworth High Precision Photometry Orbital Based Photometry Ground Based Defocused Photometry. Mandell. NASA GSFC. Collaborators. :. Korey. Haynes. Evan . Sinukoff. Drake . Deming. Adam Burrows. Nikku. . Madhusudhan. Mark . Clampin. Don . Lindler. Natasha . Batalha. Heather Knutson. (others as well) . Citrus gall wasp in Southern Australia NSW Department of Primary Industries, September 2014 Figure CGW life cycle. 1egg, 2larva, 3pupa, adult, 5emergence hole (Adapted from E H Zeck)Adult CGW emer Modelling for Engineering Processes. Peter Hale UWE. University of the West of England, Bristol. Abstract. Problem. -. Enable translation of human problems/representation to computer models and code.. Green Darmer Dragonfly. DRAGONFLY Wings at rest are outstretched. . and vertical.. Damselfly. DAMSELFLY Wings at rest are vertical. Widow Dragonfly. Saddleback Dragonfly. Blue-eyed . Darmer. Dragonfly. 3.5. Demonstrate understanding of how technological modelling supports technological development. Aims for this session. To share key messages for technological modelling level 3. T. o develop understanding of how . Lecturer in Quantitative Social Sciences. A basic linear regression model. e. Y. X. Y = B0 B1*X e. What’s the problem?. Assume that the residuals (e) are independent from each other.. Ie. that the model has accounted for everything systematic . Tonight's agenda . Our focus is always somewhere else. A Secure Development Lifecycle?. Threat Modelling. Taking it in your STRIDE. How . to get everyone involved. How to win at Poker. Q & A. Fin. Across Trophic Levels. by. Andrew A. Forbes, Thomas H.Q. Powell, Lukasz L. . Stelinski. , James J. Smith and . Jeffrey L. . Feder. Department of Biological Sciences, University of Notre Dame. Department of Entomology and Nematology, University of Florida. approach. . The Australian Way . David Wiman Secretary AAWHG. History and Purpose. 2003 May. History and Purpose. 2003 Dec. Formal Recognition . 2010 July. Formally recognised as the primary aviation wildlife hazard management reference body in Australia. Fork . Watershed. Watershed Hydrology and Water Quality Calibration. and. Water Quality Model Calibration. Technical Advisory Committee . Meeting #2. Louisville, KY. September 6. th. , 2012. Presenters. Dr Linda Bird. 2. nd. – 4. th. December 2012. Meeting Goals. Finalise draft CIMI Laboratory Results Report . mindmaps. Update CIMI Laboratory Results Report . ADL 1.5. Drafts prepared by Tom & Ian. Dr Linda Bird. 26. th. June 2013. Agenda. Background. CIMI . Modelling. Approach. CIMI . Modelling. . Foundations. CIMI . Modelling. Methodology. Future Work. Tomorrow. :. Terminology Binding. background. Issy . Codron. , University of Exeter. Stefan Kraus, Tyler Gardner, . Sorabh. Chhabra, Daniel Mortimer, Owain Snaith, Yi Lu. John Monnier, Antoine . Mérand. , and MIRC-X/MYSTIC Team. Disc Misalignments & Modelling the Inner AU of HD 143006. Torkil. . Veyhe. , Hans Georg Beyer, . Barður. . Niclasen. University of the Faroe Islands, . Tórshavn. , Faroe Islands. Für. On the Faroe Islands it is intended to increase the share of wind energy to the electricity supply. To improve an enhance the mapping of the wind potential, data given by a set of meteorological stations with wind measurements at .