Comments on P. Hickson “TMT image quality at Mauna Kea and La Palma”

Slides:



Advertisements
Similar presentations
Mechanical Waves and Sound
Advertisements

Extra Large Telescope Wind Engineering. Wind and Large Optical Telescopes Wind is a key factor in the design of large telescopes: larger wind-induced.
Graphic Communication
Modeling of Fuel Tank Inerting for FAA OBIGGS Research
Digital Camera Essential Elements Part 1 Sept
Louisiana Tech University Ruston, LA Slide 1 Time Averaging Steven A. Jones BIEN 501 Monday, April 14, 2008.
CS0004: Introduction to Programming Repetition – Do Loops.
© 2014 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 11.
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
Mechanical Waves and Sound
1 ELT Project data Title: ELT-DS Technology development programme towards a European Extremely Large Telescope Project type: European Commission, FP6 Reference:
Enclosure Fire Dynamics
Heat and Sound The Laws of Thermodynamics 1 Work Work is done on an object when it changes shape or moves. Work is done by an object when it changes the.
Modeling of Single Bay Fuel Tank Inerting for FAA OBIGGS Research
Rational Expressions: Addition and Subtraction. Adding and Subtracting Fractions Add the Numerators If you can, find the Least Common Denominator Find.
Gas Temperature, Volume, and Pressure This tool can measure the temperature, volume, and pressure of a gas.
Tal Mor  Create an automatic system that given an image of a room and a color, will color the room walls  Maintaining the original texture.
Modeling In-flight Inert Gas Distribution in a 747 Center-Wing Fuel Tank William Cavage AAR-440 Fire Safety Branch Wm. J. Hughes Technical Center Federal.
Practical Aspects of using Pitot Tube
Refraction is the change of direction of a light wave caused by a change in speed as the wave crosses a boundary between materials.
M4 -Group 9 Teoh Jie Shun Dominic Cheong Johnny Yeung.
Large Eddy Simulation combustion of ultra-low methane Daniel L. Cluff College of Engineering, Mathematics and Physical Sciences, University of Exeter,
9.4 Mathematical Induction
Propagation Models Large scale models predict behavior averaged over distances >>  Function of distance & significant environmental features, roughly.
                         University of Wisconsin – Madison Engine Research Center WAVE/Chemkin Interface May 2002 pg. 1 GTI.
Thermodynamic systems and concepts—topic 10.1
Algebra 1 Chapter 3 Section Solving Inequalities With Variables on Both Sides Some inequalities have variable terms on both sides of the inequality.
Adaptive Optics in the VLT and ELT era Atmospheric Turbulence
1 Blend Times in Stirred Tanks Reacting Flows - Lecture 9 Instructor: André Bakker © André Bakker (2006)
ME 101: Fluids Engineering Chapter 6 ME Two Areas for Mechanical Engineers Fluid Statics –Deals with stationary objects Ships, Tanks, Dams –Common.
Lecture Objectives -Finish Particle dynamics modeling -See some examples of particle tracking -Eulerian Modeling -Define deposition velocity -Fluid Dynamics.
10.4 Adding and Subtracting Radical Expressions. Simplify radical expressions involving addition and subtraction. Objective 1 Slide
Atmospheric Re-entry 3 Dimensional heat modeling Justin de la Serna.
MFSacedon Study of Fluids. MFSacedon Fluids in Motion Topics: Fluid flows Continuity equation Bernoulli ‘s Energy Equation.
1 LES of Turbulent Flows: Lecture 7 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
4 - Conditional Control Structures CHAPTER 4. Introduction A Program is usually not limited to a linear sequence of instructions. In real life, a programme.
Chapter 15 Running Time Analysis. Topics Orders of Magnitude and Big-Oh Notation Running Time Analysis of Algorithms –Counting Statements –Evaluating.
CFD Exercise 1 Laminar & turbulent flows with COMSOL.
Thermal-hydraulic analysis of unit cell for solid breeder TBM
Pythagorean Theorem MCC8.G.6-8: Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems.
Daily Warmup Solve for x x2+7=43 Ans: x = ±6 64+x2=164
CLIC module simulation model
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Pythagorean Theorem MACC.8.G Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems.
Deans Community High School
COSC160: Data Structures Linked Lists
UNIT-4 BLACKBOX AND WHITEBOX TESTING
Pythagorean Theorem MCC8.G.6-8: Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems.
While loops The while loop executes the statement over and over as long as the boolean expression is true. The expression is evaluated first, so the statement.
Infinite Geometric Series
Fluid Flow Regularization of Navier-Stokes Equations
Pythagorean Theorem Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems in two and.
The application of an atmospheric boundary layer to evaluate truck aerodynamics in CFD “A solution for a real-world engineering problem” Ir. Niek van.
Sound & Sound Waves.
Pythagorean Theorem.
Software Engineering Lecture #13.
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Pythagorean Theorem MCC8.G.6-8: Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems.
Pythagorean Theorem MACC.8.G Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems.
Pythagorean Theorem MCC8.G.6-8: Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems.
Chapter 8 Section 4.
Convective Heat Transfer
大气折射与天线指向.
Graphic Communication
Risk-Informing In-Vessel Effects
Pythagorean Theorem Chapter 5 Lesson 5.
Pythagorean Theorem GOAL: Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems in.
Pythagorean Theorem MCC8.G.6-8: Apply the Pythagorean Theorem to determine unknown side lengths in right triangles in real-world and mathematical problems.
UNIT-4 BLACKBOX AND WHITEBOX TESTING
Presentation transcript:

Comments on P. Hickson “TMT image quality at Mauna Kea and La Palma” Document discusses effect of removing turbulence larger than certain length scales It is partly correct in that it misses essential physics for quantifying ingress of turbulence into TMT enclosure Result therefore is simplified worst-case scenario, but once other real world effects are added, we find: Turbulence in the optical path is dominated by turbulence created by the enclosure, structures, instrumentation and telescope Some input assumptions must also be modified Full analysis cannot be done analytically; TMT results from detailed computational fluid dynamics (CFD) simulations (incl. validation work) Specific comments The vents are 2-dim filters, not 1-dim; the dividers between them are sufficiently wide for that Vents and enclosure opening are not simply high-pass cut-on/off filters (in frequency) Even if they were, relevant length scale is <~= half the dimension of the vents In projection, only a few of the vents are full size, most of them are smaller reducing relevant length scale below that assumed in Hickson document Edges add both mechanical turbulence and temperature gradients, erasing most of the incoming turbulence The same is true for every structure (instruments, AO systems, Nasmyth structures, etc.) inside the enclosure Once the air reaches the optical path, it has been strongly modified Air from the lower vent layer assists the stability of the flow pattern, but for the most part of AZ/EL combinations it will never enter the optical path Only a few vents get direct flow-through air, most of the air will go around the enclosure Some fraction of the air is compressed and goes over the opening; this has, on average, higher steady gradients, but is less variable We also disagree with two of the surrounding assumptions / statements 7-m seeing at ORM is not 0.94 arcsec; Racine formula cannot be used for this Seeing is not universally more important for AO; this is only true under certain circumstances which do not apply in general to TMT