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Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado In collaboration with the part of GLIMPSE team (Christer Watson, Ed Churchwell and Bob Benjamin)
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Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Feb 01, 2016

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Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado. In collaboration with the part of GLIMPSE team (Christer Watson, Ed Churchwell and Bob Benjamin). Introduction / Background. What are Dark Clouds and why study them? Optically thick at visual and IR wavelengths - PowerPoint PPT Presentation
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Page 1: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Detecting Dark Clouds in the Galactic Plane with

2MASS dataBy : Luis Mercado

In collaboration with the part of GLIMPSE team (Christer Watson, Ed Churchwell and Bob Benjamin)

Page 2: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Introduction / Background

• What are Dark Clouds and why study them?– Optically thick at visual and IR

wavelengths– Star Formation Regions– GLIMPSE & SIRTF

• Infrared Surveys– MSX (8 micron) – Showed dark clouds

to be thicker than previously believed– 2MASS – 2 Micron All-Sky Survey

Page 3: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

2MASS Database

• Imaged entire sky in near infrared with J, H & K filters

• Used data to produce point source catalog with over 300 million sources

• Our selection criteria:– Artifact flags– Magnitude errors < 0.15 mags– Mag limits:

• 14.3 for H, 13.5 for K

Page 4: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Our Technique

• H-K grid – pixels represent average color excess over a radius of 1.2’

• Stellar density grid – pixels represent number of stars over radius of 1.2’

• Unsharp Masking – used Gaussian to smooth image and create contrast image

Page 5: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Contrast =Image - Background_____________________

Background

Smoothing Process

1.2’ radius for image

2.0’ radius for smoothing

Page 6: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Our Technique

• H-K grid – pixels represent average color excess over a radius of 1.2’

• Stellar density grid – pixels represent number of stars over radius of 1.2’

• Unsharp Masking – used Gaussian to smooth image and create contrast image

• Best technique: product of color and density contrasts

Page 7: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

What it all looks like…

H-Kave from l = 10°-15° H-Kave contrast

K stellar density K-density contrast

Page 8: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Above: Product of density and color contrast.

Below:MSX image of same field (l = 10°15°).Notice the correlation between the dark blue objects on the contrast plot and high absorption areas (dark clouds) in the MSX image.

Page 9: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

2MASS three color image of test field.Also plotted are contours obtained from our selection method for the corresponding area.

Page 10: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Results / Conclusions

• Dark Clouds are identifiable with 2MASS data– Found technique that proves this– Color excess and stellar density are both

used as indicators– 380 dark clouds were detected in

l = 10°- 40° range with our technique

• Since we only see foreground stars, information about the clouds is limited

Page 11: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

What Now?

• Develop catalogue of Dark Clouds for publishing

• Present work at AAS meeting• Use data on future research missions

such as SIRTF

Page 12: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

THE END

Page 13: Detecting Dark Clouds in the Galactic Plane with 2MASS data By : Luis Mercado

Problems

Left: Histogram of # of dark clouds detected vs. galactic longitude. Notice a rise in detections at high longitudes, opposite to what would be expected

Right: Plot of noise and density versus longitude. Notice the similar behavior. It turns out noise seems to be proportional to the density, but in an unexpected way.