LEADER 05290oam 22005654a 450 001 9910460485403321 005 20220101150330.0 010 $a1-60223-274-1 035 $a(CKB)3710000000513942 035 $a(EBL)4312704 035 $a(SSID)ssj0001569999 035 $a(PQKBManifestationID)16218562 035 $a(PQKBTitleCode)TC0001569999 035 $a(PQKBWorkID)14614420 035 $a(PQKB)11620465 035 $a(MiAaPQ)EBC4312704 035 $a(Au-PeEL)EBL4312704 035 $a(CaPaEBR)ebr11139087 035 $a(OCoLC)929629465 035 $a(MdBmJHUP)musev2_98390 035 $a(EXLCZ)993710000000513942 100 $a20141229d2015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aColoring the Universe$eAn Insider's Look at Making Spectacular Images of Space /$fDr. Travis A. Rector, Kimberly Arcand, and Megan Watzke 210 1$aFairbanks :$d[2015]$cUniversity of Alaska Press, 215 $a1 online resource (265 p.) 300 $aDescription based upon print version of record. 311 $a1-60223-273-3 320 $aIncludes bibliographical references and index. 327 $aForeword / by David Malin -- Preface -- Human versus telescope : comparing telescopic vision with human vision. Seeing is believing ; Three things a telescope does -- This is not a selfie : how telescopes and their cameras work. How a "visible-light" telescope works ; Starlight, camera, action! ; Calibrating the camera -- Coloring the universe : broadband images, and how we use color. Show your true colors ; Making color in photography ; Putting color into astronomical images ; Broadband filters -- Color is knowledge : what scientists learn from color with broadband filters. Stars in living color ; Diamonds and dust ; The colors of galaxies -- A brief history of astronomical images : the history of how (and why) images are made. The era of photographic plates ; Astronomy for everyone ; The rise of the electronic camera ; The year that was 1994 ; Onward to the future ; The time is now -- The marvel of hydrogen : the most important element and how we see it. Element number one ; The birth of stars ; Jets from forming stars ; Choosing the colors -- Seeing red : how we see color, and how we use it. How our eyes see color ; Interpretation of color ; Perception of temperature ; Here and far ; Not paint by numbers -- Narrowband imaging : addition by subtraction. The spaces between the notes ; Give me oxygen ; When a star hits empty ; Fifty shades of red ; The "hubble palette" and beyond ; Big stars go bang -- A night in the life : observing with the word's largest telescopes. These are professional grade ; Reservations required? ; Working dusk till dawn ; Remote control -- Outside the rainbow : the electromagnetic spectrum, different kinds of light. The electromagnetic spectrum ; Radio, radio ; Microwaves : more than the oven ; Infrared : can you feel the heat? ; Visible : the tiny slice you can see ; Ultraviolet : light my way ; X-rays : beyond the dentist's office ; Gamma rays : light to the extreme ; The visible made visible -- Photoshopping the universe : what do astronomers do? What do astronomers not do? From data to an image ; Enter photoshop ; Cleaning the image ; What not to do -- The aesthetics of astrophysics : principles of composition applied to the universe. The sharpness of an image ; Color contrasts ; The composition of an image ; Structure and detail ; The natural and supernatural ; Anatomy of and image : breakdown of the pillars of creation ; Scientific and beautiful -- Epilogue: Seeing the eye (and hand) of god : pareidolia, or seeing faces/objects in astronomical imagery. 330 $aWith a fleet of telescopes in space and giant observatories on the ground, professional astronomers produce hundreds of spectacular images of space every year. These colorful pictures have become infused into popular culture and can found everywhere, from advertising to television shows to memes. But they also invite questions: Is this what outer space really looks like? Are the colors real? And how do these images get from the stars to our screens? Coloring the Universe uses accessible language to describe how these giant telescopes work, what scientists learn with them, and how they are used to make color images. It talks about how otherwise un-seeable rays, such as radio waves, infrared light, X-rays, and gamma rays, are turned into recognizable colors. And it is filled with fantastic images taken in far-away pockets of the universe. Informative and beautiful, Coloring the Universe will give space fans of all levels an insider's look at how scientists bring deep space into brilliant focus. 606 $aSpace photography$2fast$3(OCoLC)fst01127787 606 $aSpace photography 608 $aElectronic books. 615 0$aSpace photography. 615 0$aSpace photography. 676 $a778.3/5 700 $aRector$b Travis A$g(Travis Arthur),$01035352 701 $aWatzke$b Megan K$01072441 701 $aArcand$b Kimberly K$01072442 801 0$bMdBmJHUP 801 1$bMdBmJHUP 906 $aBOOK 912 $a9910460485403321 996 $aColoring the Universe$92568734 997 $aUNINA LEADER 05558nam 2200709Ia 450 001 9911019500303321 005 20251116164103.0 010 $a9786613274014 010 $a9781283274012 010 $a1283274019 010 $a9781118165928 010 $a1118165926 010 $a9781118165911 010 $a1118165918 035 $a(CKB)2550000000054258 035 $a(EBL)818934 035 $a(OCoLC)757486971 035 $a(SSID)ssj0000541173 035 $a(PQKBManifestationID)11346601 035 $a(PQKBTitleCode)TC0000541173 035 $a(PQKBWorkID)10493594 035 $a(PQKB)11393341 035 $a(MiAaPQ)EBC818934 035 $a(Perlego)2775158 035 $a(EXLCZ)992550000000054258 100 $a19960724d1997 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSequential estimation /$fMalay Ghosh, Nitis Mukhopadhyay, Pranab K. Sen 210 $aNew York $cWiley$dc1997 215 $a1 online resource (504 p.) 225 1 $aWiley series in probability and statistics. Probability and statistics 300 $aDescription based upon print version of record. 311 08$a9780471812715 311 08$a0471812714 320 $aIncludes bibliographical references and indexes. 327 $aSequential Estimation; Contents; Preface; 1. Introduction and Coverage; 1.1 Introduction; 1.2 Some Sequential Sampling Schemes in Practice; 1.2.1 Binomial Waiting-Time Distribution; 1.2.2 Hypergeometric Waiting-Time Distribution; 1.2.3 Capture-Mark-Recapture Procedures; 1.2.4 Time-Sequential Models; 1.2.5 Sequential Models in Reliability Problems; 1.2.6 Recursive Estimation and Sequential Schemes; 1.3 Organization of This Book; 2. Probabilistic Results in Sequential Analysis; 2.1 Introduction; 2.2 Martingales; 2.3 Stopping Times; 2.4 Martingale Inequalities and Identities 327 $a2.5 Submartingale Convergence Theorems2.6 Martingale Central Limit Theorems; 2.7 Random Central Limit Theorems and Berry-Esseen Bounds; 2.8 Renewal Theorem-First Passage and Residual Waiting Times; 2.9 Nonlinear Renewal Theory; 2.10 Exercises; 3. Some Basic Concepts for Fixed-Sample Estimation; 3.1 Introduction; 3.2 Decision-Theoretic Notions; 3.3 Bayesian Decision Rules; 3.4 Sufficiency and Efficiency; 3.5 Invariance and Transitivity; 3.6 Method of Maximum Likelihood; 3.7 Why Sequential?; 3.8 Exercises; 4. General Aspects of Sequential Estimation; 4.1 Introduction 327 $a4.2 Sufficiency, Rao-Blackwell Theorem, and Transitivity4.3 Crame?r-Rao and Related Inequalities; 4.4 Sequential Binomial Sampling Plans; 4.5 Exercises; 5. Sequential Bayesian Estimation; 5.1 Introduction; 5.2 Bayesian Sequential Decision Rules; 5.3 Sequential Bayesian Estimation; 5.4 Asymptotically Pointwise Optimal (APO) Stopping Rules; 5.5 Hierarchical and Empirical Bayes Sequential Estimation; 5.6 Exercises; 6. Multistage Estimation; 6.1 Introduction; 6.2 Fixed-Width Confidence Intervals and Two-Stage Procedures; 6.2.1 Stein's Two-Stage Procedure; 6.2.2 Modified Two-Stage Procedure 327 $a6.2.3 Further Generalizations6.3 Fixed-Width Confidence Intervals and Three-Stage Procedures; 6.3.1 The Global Theory; 6.3.2 Applications of the Three-Stage Procedure; 6.4 Fixed-Width Confidence Intervals and Accelerated Sequential Procedures; 6.4.1 The Global Theory; 6.5 Point Estimation Problems; 6.5.1 Minimum Risk Normal Mean Problem; 6.5.2 Two-Stage Procedure; 6.5.3 Modified Two-Stage Procedure; 6.5.4 Three-Stage Procedure; 6.5.5 Accelerated Sequential Procedure; 6.6 Other Related Estimation Problems; 6.6.1 Point Estimation in Exponential Populations; 6.6.2 Estimation of Normal Variance 327 $a6.6.3 Binomial and Negative Binomial Problems6.7 Comparison of Populations; 6.7.1 Fixed-Width Confidence Intervals; 6.7.2 Point Estimation; 6.8 Estimation in Multivariate Normal and Linear Models; 6.8.1 Estimation of Mean Vector When ? Is Arbitrary; 6.8.2 Comparison of Populations; 6.8.3 Linear Regression Problems; 6.8.4 Shrinkage Estimators; 6.8.5 Estimation of Ordered Parameters; 6.9 Exercises; 7. Parametric Sequential Point Estimation; 7.1 Introduction; 7.2 Estimation of the Normal Mean; 7.3 Estimation of the Difference of Two Normal Means; 7.4 Point Estimation in Linear Models 327 $a7.5 Estimation of the Multivariate Normal Mean 330 $aThe only comprehensive guide to the theory and practice of one of today's most important probabilistic techniquesThe past 15 years have witnessed many significant advances in sequential estimation, especially in the areas of three-stage and nonparametric methodology. Yet, until now, there were no references devoted exclusively to this rapidly growing statistical field.Sequential Estimation is the first, single-source guide to the theory and practice of both classical and modern sequential estimation techniques--including parametric and nonparametric methods. Researchers in sequ 410 0$aWiley series in probability and statistics.$pProbability and statistics. 606 $aEstimation theory 606 $aSequential analysis 615 0$aEstimation theory. 615 0$aSequential analysis. 676 $a519.5/42 700 $aGhosh$b Malay$0534774 701 $aMukhopadhyay$b Nitis$f1950-$0256035 701 $aSen$b Pranab Kumar$f1937-2023.$01802477 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019500303321 996 $aSequential estimation$94348157 997 $aUNINA