Polarisation results from the GOODS-N field with Apertif and polarised source counts

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Table 3.

Completeness of the mock data of GN5.

Flux [mJy]	$\hat{I}$ $\hat{\mathcal{I}}$	$\hat{F}$ $\hat{\mathcal{F}}$	${\hat{I}}^{c}$ $\hat{\mathcal{I}}^c$	ℐ_clean	Sets
0.06	11	0	1696	1707	20
0.07	40	0	1662	1702	20
0.08	98	0	1581	1679	20
0.09	112	0	757	869	10
0.1	200	0	635	835	10
0.125	432	1	395	827	10
0.15	310	0	114	424	5
0.175	314	1	86	400	5
0.2	369	4	55	424	5
0.25	399	2	43	442	5
0.3	397	2	31	428	5
0.4	391	1	14	405	5
0.5	387	1	6	393	5
0.6	408	4	6	414	5
0.7	385	6	2	387	5
0.8	416	10	1	417	5
0.9	424	15	1	425	5
1	431	9	1	432	5
1.25	438	21	1	439	5
1.5	415	14	0	415	5
1.75	410	19	0	410	5
2	448	8	0	448	5
2.5	408	25	0	408	5
3	419	16	0	419	5
4	406	16	0	406	5
5	428	17	0	428	5
6	424	16	0	424	5
7	419	17	0	419	5
8	404	21	0	404	5
9	398	17	0	398	5
10	414	22	0	414	5

Notes. The first column gives the PI flux of the simulated data. Column 2 gives the number of true-positive detections for our injection sample, ℐ_clean. Column 3 gives the number of false-positive detections. Column 4 gives the number of false-negative detections. Column 5 gives the total number of injected mock sources. Column 6 gives the number of used sets (with 200 injected sources per set). See Sect. 2.4 for details. The simulations for the other fields are corresponding in number of injected sets, but the limit is set at 2.5 mJy as the highest injected flux, since a completeness of 1 was expected for higher fluxes.

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