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Hands-On Universe TM

Asteroid Search

Choosing and Downloading Images Tutorial

As you gaze at the night sky you may not realize just how much space is out there to explore. For example, if a line were drawn from your southern horizon to your northern horizon passing through your zenith (the point directly overhead), it would take 172,800 Asteroid Search Images to cover an area one degree wide along that line. This would require nearly 700 GB of disk space to store these images alone.

Our collection of images is necessarily limited to a fraction of that space.

We discover asteroids by comparing images of the same region of the sky taken at different times - typically less than an hour apart. We will show you how to compare two such images to locate a moving object: the object is observed at one location in the first image and is observed at a slightly different location in the second image. We may be able to locate the object in yet another image, and so on. In that way we build up a collection of observations of an object that - since it appears to be the same object moving from one place to another - is a good candidate for identification as an asteroid.

So we start with at least two images. And, typically, in the HOU Asteroid Search, we examine images taken at the same telescope with the same camera and with the same CCD detector (the CCD "Charge Coupled Device" collects the light from which the images are made). This ensures that the observing characteristics are the same for all images.

HOU Asteroid Search images derive from one of two collections: the Big Throughput Camera collection and the Deep Lens Survey collection. Typically, you will be downloading and comparing images from one of these collections, to make sure the images are from the same telescope, camera, and CCD combination, as just explained.

The next section guides you through the process of selecting and downloading asteroid candidates from the HOU Asteroid Search collection of images.