Table 2.
Data retention overview.
Season 1 | Season 2 | Explanation | |
---|---|---|---|
Escan | 50.0% | 100.0% | Retained scans (CESs) |
Efeed | 84.2% | 100.0% | Functional feeds |
Eel | 75.6% | 100.0% | Inside good elevation range |
lightgrey1Eobs | lightgrey131.8% | lightgrey1100.0% | lightgrey1Observational data retention |
Efreq | 72.8% | 74.3% | Frequency masking in l2gen. |
Estats | 57.4% | 33.6% | Cuts on accept-mod statistics |
EχP(k)2 | 72.2% | 100.0% | Per-scan auto-PS χ2-test |
lightgrey1Ecuts | lightgrey130.1% | lightgrey124.9% | lightgrey1Map-level data retention |
EχC(k)2 | 52.4% | 100.0% | Cross-spectrum χ2-test |
EC(k) | 94.7% | 75.0% | Cross-spectrum auto combinations |
lightgrey1EPS | lightgrey149.6% | lightgrey175.0% | lightgrey1Retained data at PS-level |
lightgrey1Stot | lightgrey16.8% | lightgrey121.6% | lightgrey1Final PS-domain sensitivity, calculated as ![]() |
Notes. Surviving fraction of data for different filtering steps of the pipeline. The left column shows the values used for the ES analysis, and the right column shows this work. The first 3 rows show individual data losses to observational constraints, that are combined in the gray row below. The three next rows show data retention to time and map domain cuts, again combined below. Finally, the next two rows show the losses in the power spectrum domain, also combined. The last row, Stot shows the final fraction of theoretical power spectrum sensitivity from the combined data retention (see the text for details). The losses are multiplicative, such that multiplying E for all the individual losses gives the retained data fractions shown in gray.
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