NIRCam Imaging Sensitivity
The exposure times vs. flux estimates at signal-to-noise ratio = 10 in NIRCam images presented here have been obtained using the Pandeia JWST Exposure Time Calculator (ETC) Python engine.
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The Pandeia Exposure Time Calculator should be used for all observation planning. This article provides ETC results determined using the Python engine to loop through many calculations of signal-to-noise ratio (SNR) for various readout patterns and exposure times, given the assumptions detailed below. These calculations are then interpolated to determine depth (SNR = 10) vs. exposure time.
Depth vs. exposure time
The NIRCam Imaging and NIRCam Sensitivity articles show SNR = 10 sensitivity estimates for imaging in all NIRCam filters given a total exposure time of 10 ks (166.7 minutes = 2.78 hours). Figure 1 shows similar estimates for a range of exposure times in 7 wide filters and one medium filter.
Sensitivity estimates can vary significantly depending on the background and the assumed photometric aperture sizes as discussed below. Please use the Exposure Time Calculator to plan your observations.
Figure 1. Depth vs. exposure time
Depth (10-sigma) vs. total exposure time for 4–10 exposures of NIRCam imaging in 7 wide filters and one medium-band filter, assuming the benchmark background model (1.2 × MinZodi). Values are for point sources: short wavelength channel photometric aperture of 0.08" radius with 0.6"–0.99" background sky annulus; long wavelength channel photometric aperture of 0.16" radius with 1.2"–1.98" background sky annulus. Readout patterns are BRIGHT1, SHALLOW4, and MEDIUM8 as recommended below, using 4 exposures or more as needed. Depths are interpolated from results obtained with the Pandeia JWST ETC Python engine. Dashed line extrapolations assume depth in units of flux goes as sqrt(t), or in magnitudes: depth = depth0 + 1.25 * log(t / t0). Note 5-sigma depth estimates are 0.75 mag fainter than the 10-sigma estimates shown here.
Exposure time
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Figure 2. Signal-to-noise ratio vs. exposure time for various readout patterns
Comparison of signal-to-noise ratio for various readout specifications for F200W imaging of an AB mag 29 point source. Each point shows the estimate given 4 exposures, each comprising a single integration that consists of multiple groups (between 2 and 10) of a given readout pattern. This analysis shows that RAPID, BRIGHT2, SHALLOW4, MEDIUM8, and DEEP8 yield higher signal-to-noise ratios than other patterns for a given exposure time. These are plotted as filled circles; the other patterns are plotted as stars. Note BRIGHT2 is restricted to a maximum of 4 groups when reading out the full detectors in both modules. Note that the new MEDIUMDEEP readout patterns are not included in this plot.
Note we do not generally recommend integration times greater than 1,000 s. After 1,000 s, the majority of pixels would likely be affected by cosmic rays. See discussion in MIRI Cross-Mode Recommended Strategies.
Table 1. Recommended readout specifications for maximal depth in a given exposure time.
This table does not include the new MEDIUMDEEP readout patterns.
| Readout pattern | NGROUPS | NINT | Exposure time (s) | NEXP | Total exposure time (s) |
|---|---|---|---|---|---|
| RAPID | 2 | 1 | 21.5 | 4 | 86.0 |
| BRIGHT2 | 2 | 1 | 42.9 | 4 | 171.8 |
| BRIGHT2 | 3 | 1 | 64.4 | 4 | 257.6 |
| BRIGHT2 | 4 | 1 | 85.9 | 4 | 343.6 |
| BRIGHT1 | 5 | 1 | 96.6 | 4 | 386.4 |
| BRIGHT1 | 6 | 1 | 118.1 | 4 | 472.4 |
| BRIGHT1 | 7 | 1 | 139.6 | 4 | 558.4 |
| BRIGHT1 | 8 | 1 | 161.1 | 4 | 644.4 |
| BRIGHT1 | 9 | 1 | 182.5 | 4 | 730.0 |
| BRIGHT1 | 10 | 1 | 204.0 | 4 | 816.0 |
| SHALLOW4 | 5 | 1 | 257.7 | 4 | 1030.8 |
| SHALLOW4 | 6 | 1 | 311.4 | 4 | 1245.6 |
| SHALLOW4 | 7 | 1 | 365.1 | 4 | 1460.4 |
| SHALLOW4 | 8 | 1 | 418.7 | 4 | 1674.8 |
| SHALLOW4 | 9 | 1 | 472.4 | 4 | 1889.6 |
| SHALLOW4 | 10 | 1 | 526.1 | 4 | 2104.4 |
| MEDIUM8 | 6 | 1 | 622.7 | 4 | 2490.8 |
| MEDIUM8 | 7 | 1 | 730.1 | 4 | 2920.4 |
| MEDIUM8 | 8 | 1 | 837.5 | 4 | 3350.0 |
| MEDIUM8 | 9 | 1 | 944.8 | 4 | 3779.2 |
| MEDIUM8 | 10 | 1 | 1052.2 | 4 | 4208.8 |

