1. Extra Solar Planet Science With a Non Redundant mask
Stefenie N. Minto (UMES, STScI)
Alexandra Greenbaum (JHU, STScI)
Anand Sivaramakrishnan(STScI)
Deepashri Thatte(STScI) Kathryn St. Laurent (STScI

2. Non Redundant Mask Aperture Masked Interferometry (AMI) mode
For high angular resolution imaging
We use a 7 hole nrm .The NRM is used for high angular resolution imaging for the AMI mode in NIRISS

3. Fringe Phase & Visibility
Wide Diffraction Pattern Single slit
Narrow Diffraction Pattern Double slit
Where the sharp fringes are within the broad pattern Is the fringe phase
Clarity of the fringe is the fringe visibility
As the image becomes more resolved the fringes becomes less noticeable this shows how sensitive the interferometry is to change in fringe phase and visibility which is what we want to measure
V ~ 0.5
V = 0
V ~ 1

4. Object seen through telescope
in sky
Object seen through telescope
Star seen through telescope
Single Star Image (PSF)
Same Star with Planet

5. Contrast with and without planet light

6. Find Companions in three steps
Measure Fringe Phases & Fringe Amplitudes in the image
Calibrate the Data
Look at Single Stars to Remove Instrument Effects
Fit Model to Star + Planet Data
Fitting fringe Phases to the Model

7. How will Pixel Scale affect the results?
Experimental Set up
How will Pixel Scale affect the results?
- Simulate NIRISS data at one pixel scale
Fit data with different pixel scales
Measure parameters at different pixel scales
To know how reliable our data reduction method will be for NIRISS images

8. Results Very small change to position angle and contrast ratio
Whatever our uncertainty is in the pixel scale error tell us the uncertainty in out measurement .

9. Higher contrast binary
Next Steps
Apply my code to explore new problems like
Higher contrast binary
Smaller separation
Under sampled data
This program explores different effects on our simulated measurements so we have a good idea of how well we can rely on our measurements which gives us a structure to explore other uncertainties in the data

10. Thank You