How can amateur astronomers contribute to Informatics for Stars?
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- How are simulations compared with observations? How are the uncertainties in the parameters used as input for astrophysical simulations being propagated to the simulation outputs?
- How is astronomical data used to test cosmological models and constrain cosmological parameters?
- What statistical techniques are used for uncertainty quantification in astronomical modeling? How are the biases inherent in astronomical surveys and observational data being identified and mitigated in computational studies?
- What are techniques for analyzing astronomical time series data?
- What are lossless and lossy compression methods?
- What methods are used for uncertainty quantification in simulations? How are the computational resources required for different types of Informatics for Stars research being estimated and managed?
- How can the astronomical community work together to improve the quality and reproducibility of computational research?
- What are the limitations of traditional statistical methods when applied to noisy astronomical data?
- How are these methods applied to astronomical data? How are data indexing and retrieval techniques used to efficiently access large astronomical databases?
- What are the different types of stars studied in Informatics for Stars? How are stellar properties like temperature and luminosity determined?
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