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1D Plots 2D Images Original Inputs Timing Output Warnings1D Plots
2D Images
Table of Original Inputs
All inputs used for the calculation
| Value | |
|---|---|
| Target Mag | 7.403 |
| Saturation Level (electons) | 46480.0 |
| Instrument | nircam |
| Mode | lw_tsgrism |
| Aperture | lw |
| Disperser | grismr |
| Subarray | subgrism64 |
| Readmode | shallow2 |
| Filter | f444w |
| Primary/Secondary | rp^2/r*^2 |
Timing Info
All the timing info needed for your observation. Overhead calculation assumes 30 minute target acquisition time.
APT Inputs
| Value | |
|---|---|
| Instrument | NIRCam |
| Template | NIRCam Grism Time Series |
| SW Channel Mode | IMAGING |
| Subarray | SUBGRISM64 |
| No. of Output Channels | 4 |
| Short Pupil+Filter | CHOOSE THIS USING ETC |
| Long Pupil+Filter | GRISMR+F444W |
| Readout Pattern | SHALLOW2 |
| Groups per Integration | 7 |
| Exposures/Dith | 2 |
| Integrations/Exp | 4805 |
Calculation Details
| Value | |
|---|---|
| Transit Duration (hr) | 14.690000 |
| Number of Transits | 1 |
| Transit + Baseline, No Overhead (hr) | 30.001780 |
| Observing Efficiency (%) | 90.909091 |
| Frame Time (sec) | 0.340610 |
| Integrations In Transit | 4705 |
| Integrations Out of Transit | 4904 |
| Estimated NIRCam Data Excess (GB) | 0.0 (Verify using APT) |
| Assumed No-TA Scheduling + Slew Overhead (sec) | 2794.170305 |
| Elapsed Time per Integration incl. Reset (sec) | 11.240130 |
| Science Time per Integration excl. Reset (sec) | 10.218300 |
Warnings
Pay attention to these warnings! If you do not see 'All good' written in each box, reconsider your run.
| Value | |
|---|---|
| Group Number Too Low? | All good |
| Group Number Too High? | All good |
| Non linear? | All good |
| Saturated? | All good |
| % full well high? | All good (67% < 80%) |
| Num Groups Reset? | All good |
| Minimum Integrations? | All good |
| NIRCam Readout Optimization | Selected SHALLOW2 after RAPID, BRIGHT1, BRIGHT2 exceeded the 15 GB recommendation. Estimate assumes no target acquisition and a standard 2,100-second initial slew. |
| NIRCam Data Excess? | All good |
References
When publishing results based on PandExo, please cite:
Batalha, N.E., Mandell, A., Pontoppidan,K., et al., 2017, PASP, 129, 976
