HCI MIRI Limiting Contrast

Treatment of limiting contrast (Climit) is based on current information about telescope aberrations and the expected performance of JWST MIRI.

See also: MIRI Coronagraphic ImagingMIRI Bright Source LimitsMIRI Coronagraphs

Caution on Limiting Contrast

The information contained in this article is presented as a general guide based on pre-launch and post-launch experience. The ultimate contrast will depend on many factors including, but not limited to, post-observation processing.

Limiting contrast, Climit(s)is the companion-to-host flux ratio of the minimum detectable companion. It is the detection limit and the best that can be done.

The article HCI Contrast Considerations provides a general treatment of "contrast" (C), includinClimit(s).

Climit(s) is a function of essentially everything related to high-contrast imaging (HCI): myriad eclectic technical factors and procedures, end-to-end. This treatment of Climit(s) for MIRI is based on Boccaletti et al. (2015).

Figure 1 shows the best available treatment of various contrasts for a MIRI 4QPM2 coronagraph, as adapted from Figure 10 (upper right) in Boccaletti et al. (2015).

The "technical factors" behind the curves include:

  • 4QPM2 inner working angle (IWA), filter, and nominal wavelength (0.49", F1140C, 11.30 μm) 
  • Stellar distance and spectral type of host source (10 pc, M0V)
  • Exposure time (3,600 s)
  • Telescope area and transmission (25 m2, 85%)
  • Detector quantum efficiency and noise (80%, readout 20 e rms, 0.001 flat field stability)
  • Lyot stop transmission (62% for 4QPM)
  • A random positional error of 10 mas and a wavefront error of 10 nm between rolls
  • Reference star subtraction strategy
  • False alarm probability of 3 × 10–3 (3-sigma), which assumes normally distributed errors with zero mean after reference star subtraction
  • Currently available estimates of JWST aberrations

Under those assumptions, Figure 1 shows the approximate minimum contrast ratio for 3-sigma detection of a faint companion near a bright host, as a function of their apparent separation s in arcseconds.

Boccaletti et al. (2015) also present variants of 3 particular technical assumptions: the 4QPM coronagraph (one of 3), filter, and the spectral type of the host source.

If the user's operating point (sCflux) lies above the red-dashed curve, that source is detectable under the technical and procedural assumptions of Boccaletti et al. (2015).

This is the best information on limiting coronagraphic performance for MIRI at the current time. In the future, with a better understanding of wavefront errors and other technical factors, or when users become interested in different combinations of technical factors, improved calculations of Climit(s) will be made available for MIRI coronagraphs.

Meanwhile, users may be able to obtain extrapolated estimates of Climit(s) using the Exposure Time Calculator (ETC) and other proposal tools.

Figure 1. MIRI limiting contrast example

Click on the figure for a larger view.

Example of estimating limiting contrast for MIRI, adapted from Boccaletti et al. (2015), Figure 10, top-right panel, showing CPSF(s)Craw(s)Climit(s), and Cideal(s).


Inflight updates

Measurements made in-flight have been analyzed, and these results are to be found in Boccaletti et al. (2022).



References

Boccaletti, A. et al. 2022, A&A, 667, 165
JWST/MIRI coronagraphic performances as measured on-sky

Boccaletti, A., et al. 2015, PASP, 127, 633
The Mid-Infrared Instrument for the James Webb Space Telescope, V: Predicted Performance of the MIRI Coronagraphs




Notable updates
  •  
    Added link and reference to published in-flight updates to MIRI coronagraphic performance


Originally published