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LSST CCD Chip Calibration

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LSST CCD Chip Calibration Tiarra Stout ... (M51) Total= 189 CCD chips Calibration Single prototype chip currently installed in Calypso telescope in Arizona. – PowerPoint PPT presentation

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Title: LSST CCD Chip Calibration


1
LSST CCD Chip Calibration
  • Tiarra Stout

2
LSST
  • Large Synoptic Survey Telescope
  • Camera 1.6 m by 3 m.
  • 3.2 billion pixels.
  • 2800 kg (6173 lbs)
  • 10 square degrees of sky

3
CCD Array
  • Charge-coupled device
  • How it works
  • Rows of pixels with silicon layer.
  • Photon hits silicon layer.
  • Energy from the photon causes an electron to
    release.
  • Electrical charge stored in pixel.
  • Charges are read out vertical shift, then
    horizontal shift.
  • Charges converted to digital number.
  • Digital number corresponds to number of photons
    it received.
  • Image is created pixel by pixel using digital
    number to show intensity of each pixel.

4
LSST CCD Array
  • LSST array will be much larger than current
    prototype.
  • 21 rafts
  • Rafts have 9 chips
  • Each chip has 16 segments. (M51)
  • Total 189 CCD chips

5
Calibration
  • Single prototype chip currently installed in
    Calypso telescope in Arizona.
  • How well does it function?
  • Images taken with Calypso.
  • Find standard star.
  • Photometry (measure of a stars flux or intensity
    of electromagnetic radiation) must then be done
    on the stars to compare the results of the LSST
    chip with known results of well measured objects.

6
Photometry
  • IRAF Image Reduction and Analysis Facility.
  • First had to find good data. (example)
  • Point object. Not smeared or elongated.
  • Not saturated or too faint.
  • Standard star in measured filters.
  • Settled on EGGR 102 a.k.a. HIP 66578 and 24
    other names.
  • Process images to reduce interference from
    electronic readout noise, thermal electrons,
    pixel-to-pixel variations, optical
    non-uniformities, etc.
  • After processing, photometry is done to extract
    instrumental magnitudes.
  • This is calculated by measuring the area under
    the radial profile of star (represents light from
    star and background), subtracting out the
    background light, dividing by exposure time, and
    taking the log of the final result.

7
Photometry
  • Compile catalog with standard star measurements
    to find coefficients to magnitude equations.
  • Magnitude equations used to convert instrumental
    magnitudes to absolute magnitudes.
  • Want absolute magnitude to characterize the star.
    By measuring the magnitude in different filters,
    we can figure out how far it is, its composition,
    etc.

8
My Results
  • Found coefficients for magnitude equations in r
    (red) and i (infrared) filter.
  • IFIT mi(V-VI) i1 i2 Xi i3 VI
  • mi instrumental magnitude
  • VV magnitude
  • VI color value. Difference between two filters.
  • Xi airmass (extinction rate of photons as they
    move through atmosphere))
  • i1 -0.02885237
  • i2 0.01845326
  • i3 0.1401964
  • Known magnitude of EGGR 102 in i filter is
    12.979. Our value was 12.978.

9
My Results
  • RFIT mr (V VR) r1 r2 (Xr 1.326)
    r3 VR
  • mr instrumental magnitude
  • V V magnitude
  • Xr airmass
  • VR color value
  • r1 -0.2086798
  • r2 0.7110448
  • r3 2.087208
  • Known magnitude is 12.873. Our value is 12.465.
  • This equation had to be modified since it did not
    originally converge. Brought the term closer to
    zero to shift the intercept and create higher
    precision by subtracting the average airmass of
    the images from the airmass variable.

10
Conclusions
  • Chip performing well and accurately so far. Need
    more data, however.
  • Future observations need to include more standard
    stars in common filters (ugriz) for calibration
    purposes.
  • Attention on image quality.

11
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