Microwave Kinetic Inductance Detector - QuarkNet€¦ · Microwave Kinetic Inductance Detector By...

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MKIDs Microwave Kinetic Inductance Detector By Natalie Forsberg

Transcript of Microwave Kinetic Inductance Detector - QuarkNet€¦ · Microwave Kinetic Inductance Detector By...

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MKIDsMicrowave Kinetic Inductance Detector

By Natalie Forsberg

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Mosaic Data Collecting

● Separate snapshots put together to make one picture

● Camera pointed in different directions○ Have to make up for the camera “sagging”

■ take off time drift

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Picture of Data

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Information on the Data Picture● Right ascension

○ East to West● Declination

○ North to South● Important numbers

○ 0, 45, 46, 55, 56, 101● blue lines = path of telescope

■ Use surrounding numbers’ info to piece together the snapshots

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Use Position of the Center Object

● Calculate RA Dec drift from first and last exposures○ calculate camera rotation and degrees per

pixel for each pair of snapshots● Use the average to align all snapshots

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Reference Star● Very important

○ Used to help put the mosaics together● It is located within multiple mosaics

○ Allows us to combine the mosaics into one great pic

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Centroid● Finds center of star● It is a more accurate measurement

○ specifically the X and Y position of the object● We “guess” where the object it

○ to the closest integer■ then do a fit in order to get a better value

● What will we use it for?○ to calculate the rotation angle and plate scale○ more precision

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Centroid Picture

Blue = Guessed positionGreen = Real location

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Raw Picture

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What is TimeMask?

● It tells you what time a pixel went “crazy”● Used to help to see pixels, and ignore the

time when a pixel went bad○ If we ignored every bad pixel altogether, then we

would never see any pixels● If a pixel shoots up

○ gets lots of photons■ just that moment of time of the pixel is ignored

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Before TimeMask After TimeMask

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What is Interpolation?● Almost like photoshop

○ Takes the bad pixels■ “fixes” them

● Takes the value of the bad pixel and replaces it○ it does this by taking the average of the

values of the surrounding pixels■ then, it replaces the dead value with

the new value

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Interpolation Picture

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Before Interpolation After Interpolation

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How the Pictures are Colored

● Don't Forget!○ We have colored information

■ Key feature of MKIDs● We figure out what color the photons are

○ Assign them different wavelengths● Using George’s program I have created...

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Before Color After Color

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Hubble Telescope MKIDs Picture NGC6751

Infrared Picture

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Hubble Telescope Pic MKIDs Pic Ring Nebula

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THE END