High Contrast Integral Field Spectrograph
Using the free and open source Anaconda Python Distribution is recommended. It already contains the astropy package, and simplifies package management and deployment.
To run a laboratory experiment, the following python packages must be installed:
win32com--- allows to control the camera (works on Windows only)serial----- allows controlling the laser and filter wheelbmc-------- allows controlling the DMs (courtesy of Boston Micromachines Corporation)PyAPT------ allows controlling the motorized stages (also requiresAPT.dllandAPT.libfrom https://github.com/mcleu/PyAPT/tree/master/APTDLLPack/DLL)
import HCIFS
from HCIFS.Experiment import Experiment
# create an HCIFS Experiment
expt = Experiment('sampleScript')
# run wavefront control in imaging mode (QSI camera)
expt.runFPWC('Imag')
# run wavefront control in spectrograph mode (IFS)
expt.runFPWC('Spec')
# generate a datacube using the IFS
expt.getDatacube()- The shaped pupil coronagraph for planet finding coronagraphy: optimization, sensitivity, and laboratory testing, Kasdin et al. 2004
- Optimal dark hole generation via two deformable mirrors with stroke minimization, Pueyo et al. 2009
- Kalman filtering techniques for focal plane electric field estimation, Groff and Kasdin 2013
- Recursive starlight and bias estimation for high-contrast imaging with an extended Kalman filter, Riggs, Kasdin, and Groff 2016
- Methods and limitations of focal plane sensing, estimation, and control in high-contrast imaging, Groff et al. 2015
- Identification of the focal plane wavefront control system using EM algorithm, Sun, Kasdin, and Vanderbei 2017
- First light of the High Contrast Integral Field Spectrograph (HCIFS), Delacroix, Sun, Galvin, et al. 2018
Created by Christian Delacroix
Written by Matthew Grossman, He Sun, and Christian Delacroix.