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Class Project Presentations: Tuesday March 12th

Class Project Presentations: Tuesday March 12th. Four project teams 20 minutes per team 10-20 slides, depending on how much material is on each slide Please do a dry run to be sure your team doesn’t run over its time Each person on a team should give part of their team presentation

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Class Project Presentations: Tuesday March 12th

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  1. Class Project Presentations:Tuesday March 12th • Four project teams • 20 minutes per team • 10-20 slides, depending on how much material is on each slide • Please do a dry run to be sure your team doesn’t run over its time • Each person on a team should give part of their team presentation • In class presentation, explain high-level science goals, requirements, AO and instrument concept, and AO performance (can't go into much depth due to time limitations). See following slides for more info. • In Report, you will have room to go into more depth on each area • Class time on March 12th will conclude with a synthesis discussion: what have you/we learned from the process of doing the projects

  2. mini-CoDRPresentations: Expectations • Your team members • Name of your AO system plus instrument • Science context / science goals / observing wavelengths • How science requirements have lead to your system performance requirements • Telescope location • Back-end science instrument and required field of view • Rough block diagram of AO system (not an optical design) • Wavefront error budget and how you decided on your choice of DM, WFS, telescope size, how many degrees of freedom, etc. • Requirements for reference “stars”(natural guide stars, or laser guide stars + tip-tilt stars). What sky coverage fraction does each correspond to? • Predicted AO performance based on this error budget • Describe the major risks for your project

  3. Some Bonus Items for mini-CoDR presentations • Clever acronym for your AO system and/or instrument • Logo for your project • Your roles: Principle Investigator (PI), Project Scientist, Project Manager • Optical layout • Observing plan/how data will be gathered • Plan for data reduction/pipeline • How will these data help answer your science questions? • Project timeline • Wild guess at total project cost

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