Photometric Analysis of Asteroids - PowerPoint PPT Presentation

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Photometric Analysis of Asteroids

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Photometric Analysis of Asteroids Sara Barber Acknowledgements: Dr. Bill and Erin Cooper – PowerPoint PPT presentation

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Title: Photometric Analysis of Asteroids


1
Photometric Analysis of Asteroids
  • Sara Barber
  • Acknowledgements
  • Dr. Bill and Erin Cooper

2
Project Evolution
  • Old Project Opposition Effect of Dark Asteroids
  • Goal
  • Make photometric observations of asteroids with
    low reflectivity near opposition
  • Create lightcurves for these asteroids
  • Problem
  • CCD malfunction
  • New Project Photometric Analysis of Trojan
    Asteroids
  • Goal
  • Analyze previously obtained images of Trojan
    asteroids
  • Create lightcurves for these asteroids

3
Motivation
  • My Goal Create lightcurves for Trojan asteroids
  • Future Goal Combine lightcurves throughout
    asteroids orbit to determine 3-D shape
  • Shape Spin Rate ? Density
  • The density could put a limit on the asteroids
    composition.
  • Trojan Composition v.s. Main-Belt Composition
  • Different origins within the solar system?
  • Better understanding of solar systems evolution

4
Outline
  • Trojan Asteroids
  • Lightcurves
  • Photometry Steps
  • CCD Photometry
  • Image Processing
  • Complications
  • Measuring
  • Calibration
  • Lightcurves
  • Results

Preparing for a night of observing.
5
Trojan Asteroids
  • Asteroids in orbit around Jupiters 4th and 5th
    Lagrange points

6
Lightcurves
  • Lightcurve change in brightness throughout
    rotation
  • More illuminated surface area ? brighter
  • Less illuminated surface area ? dimmer

7
Photometry
  • Photometry technique for measuring an objects
    brightness
  • Steps
  • Take exposures
  • Process images
  • Measure objects brightness
  • Calibrate measurements
  • Create lightcurve

8
STEP 1 CCD Photometry
  • Charged Coupled Device (CCD)
  • Photon hits Si substrate photoexcites e-
  • 1 photon 1 e-
  • Electrons trapped in pixels by electrodes w/
  • applied voltage
  • Get series of numbers
  • that are reconstructed to
  • make image

CCD
Electrodes
Conduction Band
CCDTop View
Valence Band
9
STEP 2 Image Processing
  • Want uniform background
  • Sources of Background Inhomogeneity
  • Thermal Signal ? Thermal energy is enough to kick
    electrons into conduction band (CCD not cooled
    uniformly ? have gradient of thermal signal)
  • Dark Frame
  • Pixel-to-Pixel Variations ? Flaws on CCD chip,
    dust shadows
  • Flat Frame

10
STEP 2 Image Processing
11
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12
Dark Subtracted
Raw Image
Flat Divided
Reduced Image
13
Images
14
Complications
Asteroid
15
STEP 3 Measuring
  • Measure electron count
  • within aperture
  • Only want electron count
  • from source
  • Need to subtract count from
  • background (scattered moonlight, city lights,
    etc.)
  • Aperture ? Source Background
  • Annulus ? Background
  • Source Aperture Count - Annulus Count

Star Field
16
STEP 3 Calibration
  • We have electron counts, want physical magnitudes
  • Observe flux standard stars (stars of well known
    magnitude)
  • Measure e- counts for these stars
  • Use linearity of CCD (double e- count double
    flux) to calibrate source
  • Source e- count ? Source magnitude

17
STEP 4 Lightcurve
  • Plot brightness vs. exposure time

18
STEP 4 Lightcurve
  • Phase Lightcurve
  • Use previously published rotation periods to plot
    brightness vs. phase

19
Results
20
Questions?
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