Analysis of Image Quality

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Presentation transcript:

Analysis of Image Quality 11/29/2018 Analysis of Image Quality Student: Jeffery D. Ahern Mentor: Edward Beshore Opening Slide. Time starts now.

11/29/2018 Catalina Sky Survey The mission of the Catalina Sky Survey is to find near-earth objects (NEOs) that pose an impact risk to Earth and it's inhabitants. To find transiat objects, We try and find objects that are in one frame but not the other 3 frames.

11/29/2018 Catalina Sky Survey This is done by taking four images that are exposed for 30 seconds separated by 10 minutes, and looking for objects that appear in one frame, and have a corresponding object in the other frames plotting in a straight line

Co-added Images Median average of multiple images 11/29/2018 Co-added Images Median average of multiple images Allow the creation of a deep star catalog Can compare faint objects to see if a known star is there

11/29/2018 Manual Selection Observer looks over all the images of a field and selects the best Subjective Time consuming Costly Hard to compare results

Quantitative & Automated Analysis 11/29/2018 Quantitative & Automated Analysis Meaning to data Comparable Objective judgments Standardization Decreased error Repeatable Reliable Fast

Metric for a Automated Analysis 11/29/2018 Metric for a Automated Analysis Full-Width Half-Maximum

What should not be counted 11/29/2018 Data Selection What should not be counted Artifacts Bright stars that cause image bleeding Galaxies Need image of Image Distortions

11/29/2018 Results The Full-Width Half-Maximum value is a good metric to use to determine if the image is in focus

11/29/2018 Questions