HCIL

Full testbed name

High Contrast Imaging Laboratory (HCIL)

Managing institution

Princeton University

Person to contact

N. Jeremy Kasdin

People willing to give talks

N. Jeremy Kasdin

He Sun

Christian Delacroix

Main scientific focus

HCIL is designed to demonstrate cutting-edge technologies for exoplanet direct imaging and characterization from space-based platforms. The laboratory simulates an integrated telescope and coronagraph instrument, operating in the visible to near-infrared, similar to that baselined for the WFIRST mission. Our specific focus is the development and validation of the shaped pupil coronagraph along with various model-based wavefront control and estimation techniques. On-going developments of the HCIL include the addition of low-order wavefront sensing (LOWFS) and an integral field spectrograph (IFS).

Environment of the testbed

The testbed is located in a 900 sq. ft. clean room with temperature and humidity control. The testbed is equipped with vibration isolation and a clean air system designed for optical research.

Optical design map

Current configuration

Future configuration

Key hardware items

  • A star-planet simulator using two fiber sources with different wavelengths is used as the source. An off-axis parabola (OAP) is used to create the collimated beam.
  • Two Boston MicroMachine kilo-DMs with 952 active actuators on each are used for wavefront control and estimation.
  • The starlight diffraction pattern is modified by a rippled-shaped pupil coronagraph (SPC) and the energy outside of the dark holes is blocked using a bowtie-shaped focal plane mask (FPM).
  • A science camera (QSI model RS 6.1s) is placed on a 300mm motorized stage for focal plane imaging and phase retrieval.

Current status

Using the shaped pupil coronagraph only, the testbed can reach a contrast of 1x10^(-4). The addition of the 2 -DM focal plane wavefront control improves the contrast to 1x10^(-7). Several new wavefront control and estimation algorithms, including EFC, stroke minimization, Kalman filtering, and extended Kalman filtering, have been demonstrated in this layout. Current research is directed at achieving end-to-end system identification and reinforcement learning control.

Future Developments: The testbed will be equipped with low-order wavefront sensing based on the reflected light from the FPM in the near future. A lenslet-based integral field spectrograph (IFS) is under development as a demonstration for the WFIRST coronagraph instrument (CGI). It features an 18% band around 660nm with a spectral resolution of 50 and will be used to demonstrate IFS-based closed-loop broadband wavefront control.

Software language

Matlab, some Python

Is this software shared?

Currently private, our plan is to translate our Matlab codes into an open source Python package.