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論文資訊
- 類型：已發表論文
- 日期：2022-11-24
摘要
A suite of generally applicable 統計 methods based on empirical bootstrapping is presented for calculating uncertainty and testing the significance of quantitative differences in temperature and/or ice active site densities between ice nucleation temperature spectra derived from droplet freezing experiments. Such experiments are widely used to determine the heterogeneous ice nucleation properties and ice nucleation particle concentration spectra of different particle samples, as well as in studies of homogeneous freezing. Our methods avoid most of the assumptions and approximations inherent to existing approaches, and when sufficiently large sample sizes are used (approximately > 150 droplets and >=1000 bootstrap samples in our system), can capture the full range of random variability and er
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