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從這 33 小時的課程，你會學到
Python
科學相關的程式設計
資料視覺化
時間序列分析
建模
正規表示式( Regular expressions )
光譜分析( Spectral analysis )
過濾
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梯度下降法
文字處理
資料專案
https://softnshare.com/python-scientific-x/
“Results: We find that the 12th-order polynomial fit to the spectral passband utilised in the published study leads to spurious results. Following their recipe, five other >10 sigma lines can be produced in absorption or emission within 60 km/s from the PH3 1-0 transition frequency by suppressing the surrounding noise. Our independent analysis shows a feature near the PH3 frequency at a ~2 sigma level, below the common threshold for statistical significance. Since the spectral data have a non-Gaussian distribution, we consider a feature at such level as statistically unreliable that cannot be linked to a false positive probability.
Conclusions: We find that the published 267-GHz ALMA data provide no statistical evidence for phosphine in the atmosphere of Venus.”
Our paper about a Bayesian spectral analysis catalog of GRBs is finally accepted in the ApJS. It’s been over a year of peer-reviewing process, for 3 rounds referee iteration, which helped us to enhance the manuscript a lot.
This is the scientific process: we criticise on every idea and do not take the criticism personally. I’m proud of being a scientist.
spectral analysis 在 AlanRace/SpectralAnalysis: Software for the analysis ... - GitHub 的推薦與評價
Software for the analysis and interactive exploration of spectral imaging data (such as mass spectrometry imaging and Raman spectroscopy mapping), ... ... <看更多>