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

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SUMMARY

The discussion centers on the challenges of obtaining filtered color bands (ugriz) for galaxies to predict their star formation rates using machine learning. The user has simulated data for training but questions whether acquiring actual color band data is simpler than using alternative methods for calculating star formation rates. The consensus suggests that while obtaining real data may enhance accuracy, it may not be necessary for initial program development.

PREREQUISITES
  • Understanding of machine learning concepts and algorithms
  • Familiarity with astronomical photometry and color bands (ugriz)
  • Knowledge of star formation rate calculation methods
  • Experience with data simulation techniques
NEXT STEPS
  • Research methods for obtaining color band data from telescopes
  • Explore alternative techniques for calculating star formation rates
  • Learn about machine learning frameworks suitable for astronomical data analysis
  • Investigate the use of spectroscopy in galaxy studies
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Astronomers, data scientists, and machine learning practitioners interested in galaxy analysis and star formation rate predictions.

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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