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Table 1

Best-fit parameters of the NIRCam versus NIRSpec pixel-by-pixel cross-calibration.

Filter Overlapping IFU Intercept A0,filter Slope Afilter Intrinsic scatter(a) σint Pearson’s r
MJy sr−1 MJy sr−1
F187N g235h-f170lp −19 ± 1 0.994 ± 0.001 35 0.9955
F210M g235h-f170lp 5.3 ± 0.3 0.897 ± 0.003 7 0.9675
F212N g235h-f170lp 13.6 ± 0.5 0.80 ± 0.01 −9.5 0.9094
Average (b) g235h-f170lp 0.980 ± 0.001

F323N g395h-f2901p 1.7 ± 0.3 0.919 ± 0.001 7 0.9973
F335M g395h-f2901p −1.9 ± 0.3 0.876 ± 0.001 10 0.9985
F405N g395h-f2901p 3 ± 1 0.901 ± 0.001 13 0.9986
F470N g395h-f2901p 9.6 ± 0.4 0.870 ± 0.001 13 0.9870
F480M g395h-f2901p 1.4 ± 0.3 0.861 ± 0.001 11 0.9929
Average (b) g395h-f2901p 0.8901 ± 0.0004

Notes. Statistical uncertainties in the slopes and intercepts are indicated. (a)Intrinsic scatter σint is defined as σint 2mean((yif(xi))2)mean(σi2)$\[\sigma_{\text {int }}^{2} \equiv \operatorname{mean}\left(\left(y_{i}-f\left(x_{i}\right)\right)^{2}\right)-\operatorname{mean}\left(\sigma_{i}^{2}\right)\]$, where xi, yi are the individual measurements, σi is the uncertainty on yi, and f is the best-fit line. Negative σint indicates that the uncertainties are likely overestimated. (b)The uncertainty in the inverse-variance-weighted mean Afilter for each grating is the formal uncertainty. The true uncertainties on these factors are likely closer to the scatter in Afilter for filters within a given grating.

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