Open Access

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 S tot = E obs 2 E cuts 2 E PS $ S_{\mathrm{tot}} = \sqrt{E_{\mathrm{obs}}^2 E_{\mathrm{cuts}}^2 E_{\mathrm{PS}}} $

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.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.