Stargazing How hard is it to find filtered color bands using telescope?

AI Thread Summary
Finding filtered color bands (ugriz) for galaxies using telescopes can be challenging, as it requires specific observational data that may not always be readily available. The discussion highlights the user's focus on developing a machine learning program to predict star formation rates based on these color bands. While the user has simulated data for training, they question whether obtaining actual color band data is simpler than using alternative methods for calculating star formation rates. The conversation suggests a need for balancing the effort of data acquisition versus leveraging existing methodologies. Ultimately, the feasibility of obtaining accurate color bands significantly impacts the program's predictive capabilities.
spacetimedude
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I am currently working on writing an ML program that predicts star formation rate of a galaxy given the magnitude of filtered color bands (ugriz). I have a simulated data which contains these info to train on but if I want to use this on an observable galaxy, I'd need to physically obtain the color bands for the galaxy.
I'm not really looking to obtain the color band data of galaxies as I'm just interested in creating the program itself but was wondering if it is simpler to find the color bands and use it in the program to predict, or is it less work to calculate star formation rate using other methods?

Thanks
 
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