ENH: Add lo-de-rates data product #2566
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greglucas
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greglucas
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Test added, pivot platform added. This is now ready for review. It includes #2601 for the refactor so I don't have to do it twice. |
subagonsouth
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Jan 23, 2026
| double_mask = np.isin(coincidence_type, double_types) | ||
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| # Vectorized histogramming using np.add.at with full index arrays | ||
| np.add.at(h_counts, (asc_idx[h_mask], esa_step_idx[h_mask], spin_bin[h_mask]), 1) |
| pivot_angle : float | ||
| The nearest pivot angle for the given epoch. | ||
| """ | ||
| return ds_nhk["pcc_cumulative_cnt_pri"].sel(epoch=epoch, method="nearest").item() |
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Great use of xarray functionality.
| l1b_nhk = sci_dependencies["imap_lo_l1b_nhk"] | ||
| # Set the asc_start for each DE by removing the average spin cycle | ||
| # which is a function of esa_step | ||
| asc_start = l1b_de["spin_cycle"] - (7 + (l1b_de["esa_step"] - 1) * 2) |
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It would be helpful to have a comment explaining this equation.
This turns the DE rates into a histogram product, summing the annotated direct events into histogram bins for comparison with the hist-rates and monitor-rates products.
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This turns the DE rates into a histogram product, summing the annotated direct events into histogram bins for comparison with the hist-rates and monitor-rates products.
Opening in draft mode for now because I haven't added any tests and have quite a few TODOs in here. This is to get a product out and have the code associated with it up.