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Estimation of delta-header from Cardano mainnet data (#511)
* Analysis of "delta header" * Updated logbook
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Logbook.md

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## 2025-08-21
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### Analysis of diffusion of empty blocks on Cardano mainnet
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The Jupyter notebook [analysis/delta-header/analysis.ipynb](analysis/delta-header/analysis.ipynb) analyzes diffusion data obtained from https://pooltool.io/ for empty blocks in each epoch of Cardano mainnet. This data is used to inform estimates of the value of $\Delta_\text{hdr}$ required by the Leios protocol. Based on this data, 94.0% of empty Praos blocks arrive at nodes in less than one second after the start of the block's slot.
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### Additional regressions on mainnet validation data
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The Jupyter notebook [analysis/timings/ReadMe.ipynb](analysis/timings/ReadMe.ipynb) has been augmented to include linear statistical models aimed at predicting the `Apply` and `Reapply` phases of the ledger update. These regressions are being used in the studies of Leios performance in the CIP, especially where higher Plutus limits are considered.

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