full transcript

From the Ted Talk by Andrew Connolly: What's the next window into our universe?

Unscramble the Blue Letters

So this is driving us to new technologies and new telescopes, telescopes that can go faint to look at the distant useirvne but also telescopes that can go wide to capture the sky as rapidly as possible, telescopes like the Large sntpyioc Survey Telescope, or the LSST, polissby the most boring name ever for one of the most fascinating experiments in the history of astronomy, in fact proof, if you should need it, that you should never allow a scientist or an eigenenr to name anything, not even your children. (Laughter) We're building the LSST. We eepcxt it to start taking data by the end of this ddaece. I'm going to show you how we think it's going to tfarnsorm our views of the universe, because one image from the LSST is eviqnuaelt to 3,000 images from the hblbue Space Telescope, each image three and a half degrees on the sky, seven times the width of the full moon. Well, how do you capture an image at this scale? Well, you build the larsegt digital camera in history, using the same technology you find in the cameras in your cell phone or in the digital cameras you can buy in the High setret, but now at a scale that is five and a half feet across, about the size of a Volkswagen bteele, where one image is three billion pixels. So if you wetnad to look at an image in its full rleiutsoon, just a single LSST image, it would take about 1,500 high-definition TV screens. And this camera will image the sky, taking a new picture every 20 sedncos, constantly scanning the sky so every three nhtigs, we'll get a cmeeplolty new view of the skies above Chile. Over the mission lifetime of this tscopleee, it will detect 40 billion stars and galaxies, and that will be for the first time we'll have detected more obetcjs in our universe than people on the Earth. Now, we can talk about this in terms of tyerbteas and petabytes and bloiilns of objects, but a way to get a sense of the amount of data that will come off this camera is that it's like playnig every TED Talk ever recorded semlisoaultuny, 24 hours a day, seven days a week, for 10 years. And to process this data means searching through all of those talks for every new idea and every new concept, looking at each part of the video to see how one frame may have changed from the next. And this is changing the way that we do science, changing the way that we do astronomy, to a place where software and algorithms have to mine through this data, where the sowartfe is as critical to the science as the telescopes and the cameras that we've built.

Open Cloze

So this is driving us to new technologies and new telescopes, telescopes that can go faint to look at the distant ________ but also telescopes that can go wide to capture the sky as rapidly as possible, telescopes like the Large ________ Survey Telescope, or the LSST, ________ the most boring name ever for one of the most fascinating experiments in the history of astronomy, in fact proof, if you should need it, that you should never allow a scientist or an ________ to name anything, not even your children. (Laughter) We're building the LSST. We ______ it to start taking data by the end of this ______. I'm going to show you how we think it's going to _________ our views of the universe, because one image from the LSST is __________ to 3,000 images from the ______ Space Telescope, each image three and a half degrees on the sky, seven times the width of the full moon. Well, how do you capture an image at this scale? Well, you build the _______ digital camera in history, using the same technology you find in the cameras in your cell phone or in the digital cameras you can buy in the High ______, but now at a scale that is five and a half feet across, about the size of a Volkswagen ______, where one image is three billion pixels. So if you ______ to look at an image in its full __________, just a single LSST image, it would take about 1,500 high-definition TV screens. And this camera will image the sky, taking a new picture every 20 _______, constantly scanning the sky so every three ______, we'll get a __________ new view of the skies above Chile. Over the mission lifetime of this _________, it will detect 40 billion stars and galaxies, and that will be for the first time we'll have detected more _______ in our universe than people on the Earth. Now, we can talk about this in terms of _________ and petabytes and ________ of objects, but a way to get a sense of the amount of data that will come off this camera is that it's like _______ every TED Talk ever recorded ______________, 24 hours a day, seven days a week, for 10 years. And to process this data means searching through all of those talks for every new idea and every new concept, looking at each part of the video to see how one frame may have changed from the next. And this is changing the way that we do science, changing the way that we do astronomy, to a place where software and algorithms have to mine through this data, where the ________ is as critical to the science as the telescopes and the cameras that we've built.

Solution

  1. largest
  2. nights
  3. resolution
  4. objects
  5. hubble
  6. universe
  7. street
  8. seconds
  9. engineer
  10. telescope
  11. expect
  12. beetle
  13. simultaneously
  14. decade
  15. equivalent
  16. possibly
  17. transform
  18. completely
  19. synoptic
  20. wanted
  21. terabytes
  22. playing
  23. billions
  24. software

Original Text

So this is driving us to new technologies and new telescopes, telescopes that can go faint to look at the distant universe but also telescopes that can go wide to capture the sky as rapidly as possible, telescopes like the Large Synoptic Survey Telescope, or the LSST, possibly the most boring name ever for one of the most fascinating experiments in the history of astronomy, in fact proof, if you should need it, that you should never allow a scientist or an engineer to name anything, not even your children. (Laughter) We're building the LSST. We expect it to start taking data by the end of this decade. I'm going to show you how we think it's going to transform our views of the universe, because one image from the LSST is equivalent to 3,000 images from the Hubble Space Telescope, each image three and a half degrees on the sky, seven times the width of the full moon. Well, how do you capture an image at this scale? Well, you build the largest digital camera in history, using the same technology you find in the cameras in your cell phone or in the digital cameras you can buy in the High Street, but now at a scale that is five and a half feet across, about the size of a Volkswagen Beetle, where one image is three billion pixels. So if you wanted to look at an image in its full resolution, just a single LSST image, it would take about 1,500 high-definition TV screens. And this camera will image the sky, taking a new picture every 20 seconds, constantly scanning the sky so every three nights, we'll get a completely new view of the skies above Chile. Over the mission lifetime of this telescope, it will detect 40 billion stars and galaxies, and that will be for the first time we'll have detected more objects in our universe than people on the Earth. Now, we can talk about this in terms of terabytes and petabytes and billions of objects, but a way to get a sense of the amount of data that will come off this camera is that it's like playing every TED Talk ever recorded simultaneously, 24 hours a day, seven days a week, for 10 years. And to process this data means searching through all of those talks for every new idea and every new concept, looking at each part of the video to see how one frame may have changed from the next. And this is changing the way that we do science, changing the way that we do astronomy, to a place where software and algorithms have to mine through this data, where the software is as critical to the science as the telescopes and the cameras that we've built.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
dark energy 10
solar system 6
astronomer called 2
hubble space 2
earlier time 2
give rise 2

Important Words

  1. algorithms
  2. amount
  3. astronomy
  4. beetle
  5. billion
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  7. boring
  8. build
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  44. frame
  45. full
  46. galaxies
  47. high
  48. history
  49. hours
  50. hubble
  51. idea
  52. image
  53. images
  54. large
  55. largest
  56. laughter
  57. lifetime
  58. lsst
  59. means
  60. mission
  61. moon
  62. nights
  63. objects
  64. part
  65. people
  66. petabytes
  67. phone
  68. picture
  69. pixels
  70. place
  71. playing
  72. possibly
  73. process
  74. proof
  75. rapidly
  76. recorded
  77. resolution
  78. scale
  79. scanning
  80. science
  81. scientist
  82. screens
  83. searching
  84. seconds
  85. sense
  86. show
  87. simultaneously
  88. single
  89. size
  90. skies
  91. sky
  92. software
  93. space
  94. stars
  95. start
  96. street
  97. survey
  98. synoptic
  99. talk
  100. talks
  101. technologies
  102. technology
  103. ted
  104. telescope
  105. telescopes
  106. terabytes
  107. terms
  108. time
  109. times
  110. transform
  111. tv
  112. universe
  113. video
  114. view
  115. views
  116. volkswagen
  117. wanted
  118. week
  119. wide
  120. width
  121. years