Sorting Out the Candidates

At this point, I have created rgb images for all the objects I want to check out in the field of view of interest. There were hundreds of objects, but that is why computer programming exists. So that they do all the hard work. Unfortunately, there are some things that machines aren’t that good at. So, as a human, my job is to look at these images and identify candidates. Brown dwarfs are dim in the visible and shiny in the infrared. So, my job is to look for dots that are like that. Take this picture, for example:

J193057.83-230909.0

The bottom left one is from DSS Red, which was taken the earliest, around 1990 or so, the top left one is from 2MASS, which was taken around 2000, and the right ones are from WISE, taken around 2010. The top and bottom left only differ on how the colors are scaled in terms of brightness. The top left one is linear stretch, and the bottom left one is logarithmic stretch. As you can see, logarithmic stretch is very helpful because  with linear, the star on top is so bright that the other dots are comparatively almost nothing. With logarithmic stretch though, a star 10 times as bright can be treated as if it were only twice as bright, and 100 times as bright as if it were only three times as bright. This allows dim objects to pop out.

This one is of interest because you can observe proper motion here. Each one were taken around a decade apart, and as you can see, the dots have moved slightly. It suggests of an object relatively close. As to whether it is a brown dwarf, I am not sure, but I am keeping tabs on it just in case. It is something I am gonna have to discuss with the professor.

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