Time | Item | Who | Notes |
---|
15 min | NIRSpec TSO CV3 Presentation | Giovanna Stephan | - Had to divide by white light curve to remove brightness variations
- Two main sources of systematic noise
- 1/f noise from detector electronics
- Flux variations from drift/jitter
- NIRSpec should reach 200 ppm noise floor in <5 min of integration
|
5 min | NIRSpec | Stephan | - Real CV3 data available (see presentation)
- Typical file size ~ 4 GB
- Max file size ~ 20 GB
- Median of "out-of-trace" pixels per column removes detector 1/f noise
|
5 min | NIRCam | Tom | - Jarron is simulating TSO data
- Spectral BG subtraction should be "column-by-column" (cross-dispersion direction), but cannot cross strip boundaries
- Image BG subtraction likely an annulus
- Typical file size ~ 13 GB
- Max file size ~ 173 GB
- Jonathan Fraine will be PoC
|
10 min | NIRISS | Jason | |
5 min | MIRI | Sarah | - Slitless LRS integrated into MIRI Simulator, currently testing
- Typical file size ~ 10.4 GB
- Max file size ~ 45 GB
- Ongoing discussion about BG subtraction
- no subtraction may work
- off-source BG exposure seems prudent
- Not sure if "column-by-column" (in the cross-dispersion direction) will work
|
| Additional discussion | All | - What data products would be needed for simulated data? What level?
- What's the schedule for providing simulated data?
- Does the simulated data need to have proper headers? If so, what are the constraints?
- Suggested that 1/f noise subtraction should be separate from the BG subtraction
- Integrating BG subtraction into 1D spectral extraction should be fine
|