OpdMetrology¶
- class lsst.ts.phosim.OpdMetrology¶
Bases:
object
Methods Summary
addFieldXYbyCamPos
(sensorName, xInpixel, ...)Add the new field X, Y in degree by the camera pixel positions.
addFieldXYbyDeg
(fieldXInDegree, fieldYInDegree)Add the new field X, Y in degree.
calcDm5
(pssn)Calculate the loss of limiting depth (dm5).
calcEllip
(wavelengthInUm[, opdFitsFile, ...])Calculate the ellipticity.
calcFWHMeff
(pssn)Calculate the effective FWHM.
calcGQvalue
(valueList)Calculate the GQ value.
calcPSSN
(wavelengthInUm[, opdFitsFile, ...])Calculate the PSSN based on OPD map.
Get the default field X, Y of LSST WFS on GQ.
Get the field X, Y in degree.
Get the weighting ratio used in Gaussian quadrature.
getZkFromOpd
([opdFitsFile, opdMap, znTerms, ...])Get the wavefront error of OPD in the basis of annular Zernike polynomials.
rmPTTfromOPD
([opdFitsFile, opdMap])Remove the afftection of piston (z1), x-tilt (z2), and y-tilt (z3) from the OPD map.
setCamera
(instName)Set the camera.
Set the default ComCam GQ field X, Y and weighting ratio.
Set the default LSST GQ field X, Y and weighting ratio.
Set default values for LSST WFS field X, Y and weighting ratio.
setFieldXYinDeg
(fieldXInDegree, fieldYInDegree)Set the field X, Y in degree.
Set the weighting ratio used in Gaussian quadrature.
setWgtAndFieldXyOfGQ
(instName)Set the GQ weighting ratio and field X, Y.
Methods Documentation
- addFieldXYbyCamPos(sensorName, xInpixel, yInPixel, folderPath2FocalPlane)¶
Add the new field X, Y in degree by the camera pixel positions.
- Parameters:
- sensorNamestr
Canera sensor name (e.g. “R22_S11”, “R40_S02_C0”).
- xInpixelfloat
Pixel x on camera coordinate.
- yInPixelfloat
Pixel y on camera coordinate.
- folderPath2FocalPlanestr
Path to the directory of focal plane data (“focalplanelayout.txt”).
- addFieldXYbyDeg(fieldXInDegree, fieldYInDegree)¶
Add the new field X, Y in degree.
- Parameters:
- fieldXInDegreefloat, list, or numpy.ndarray
New field X in degree.
- fieldYInDegreefloat, list, or numpy.ndarray
New field Y in degree.
- calcDm5(pssn)¶
Calculate the loss of limiting depth (dm5).
PSSN: Normalized point source sensitivity.
- Parameters:
- pssnfloat
PSSN value.
- Returns:
- float
dm5.
- calcEllip(wavelengthInUm, opdFitsFile=None, opdMap=None, zen=0, debugLevel=0)¶
Calculate the ellipticity.
- Parameters:
- wavelengthInUmfloat
Wavelength in microns.
- opdFitsFilestr, optional
OPD FITS file. (the default is None.)
- opdMapnumpy.ndarray, optional
OPD map data. (the default is None.)
- zenfloat, optional
elescope zenith angle in degree. (the default is 0.)
- debugLevelint, optional
Debug level. The higher value gives more information. (the default is 0.)
- Returns:
- float
Ellipticity.
- calcFWHMeff(pssn)¶
Calculate the effective FWHM.
FWHM: Full width at half maximum. PSSN: Normalized point source sensitivity.
- Parameters:
- pssnfloat
PSSN value.
- Returns:
- float
Effective FWHM.
- calcGQvalue(valueList)¶
Calculate the GQ value.
GQ: Gaussian quadrature
- Parameters:
- valueListlist or numpy.ndarray
List of value (PSSN, effective FWHM, dm5, ellipticity).
- Returns:
- float
GQ value.
- Raises:
- ValueError
Length of wt ratio != length of value list.
- calcPSSN(wavelengthInUm, opdFitsFile=None, opdMap=None, zen=0, debugLevel=0)¶
Calculate the PSSN based on OPD map.
PSSN: Normalized point source sensitivity. OPD: Optical path difference.
- Parameters:
- wavelengthInUmfloat
Wavelength in microns.
- opdFitsFilestr, optional
OPD FITS file. (the default is None.)
- opdMapnumpy.ndarray, optional
OPD map data. (the default is None.)
- zenfloat, optional
elescope zenith angle in degree. (the default is 0.)
- debugLevelint, optional
Debug level. The higher value gives more information. (the default is 0.)
- Returns:
- float
Calculated PSSN.
- getDefaultLsstWfsGQ()¶
Get the default field X, Y of LSST WFS on GQ.
WFS: Wavefront sensor. GQ: Gaussian quadrature
- Returns:
- list
Field X in degree.
- list
Field Y in degree.
- getFieldXY()¶
Get the field X, Y in degree.
- Returns:
- numpy.ndarray
Field X in degree.
- numpy.ndarray
Field Y in degree.
- getWeightingRatio()¶
Get the weighting ratio used in Gaussian quadrature.
- Returns:
- numpy.ndarray
Weighting ratio.
- getZkFromOpd(opdFitsFile=None, opdMap=None, znTerms=22, obscuration=0.61)¶
Get the wavefront error of OPD in the basis of annular Zernike polynomials.
OPD: Optical path difference.
- Parameters:
- opdFitsFilestr, optional
OPD FITS file. (the default is None.)
- opdMapnumpy.ndarray, optional
OPD map data. (the default is None.)
- znTermsint, optional
Number of terms of annular Zk (z1-z22 by default). (the default is 22.)
- obscurationfloat, optional
Obscuration of annular Zernike polynomial. (the default is 0.61.)
- Returns:
- numpy.ndarray
Annular Zernike polynomials. For PhoSim OPD, the unit is um.
- numpy.ndarray
OPD map.
- numpy.ndarray
Meshgrid x in OPD map.
- numpy.ndarray
Meshgrid y in OPD map.
- Raises:
- ValueError
The x, y dimensions of OPD are different.
- rmPTTfromOPD(opdFitsFile=None, opdMap=None)¶
Remove the afftection of piston (z1), x-tilt (z2), and y-tilt (z3) from the OPD map.
OPD: Optical path difference.
- Parameters:
- opdFitsFilestr, optional
OPD FITS file. (the default is None.)
- opdMapnumpy.ndarray, optional
OPD map data. (the default is None.)
- Returns:
- numpy.ndarray
OPD map after removing the affection of z1-z3.
- numpy.ndarray
Meshgrid x in OPD map.
- numpy.ndarray
Meshgrid y in OPD map.
- setCamera(instName)¶
Set the camera.
- Parameters:
- instName
str
Instrument name. Valid options are ‘comcam or ‘lsstfam’.
- instName
- setDefaultComcamGQ()¶
Set the default ComCam GQ field X, Y and weighting ratio.
GQ: Gaussian quadrature
- setDefaultLsstGQ()¶
Set the default LSST GQ field X, Y and weighting ratio.
GQ: Gaussian quadrature
- setDefaultLsstWfsGQ()¶
Set default values for LSST WFS field X, Y and weighting ratio.
- setFieldXYinDeg(fieldXInDegree, fieldYInDegree)¶
Set the field X, Y in degree.
- Parameters:
- fieldXInDegreelist or numpy.ndarray
Field X in degree.
- fieldYInDegreelist or numpy.ndarray
Field Y in degree.
- setWeightingRatio(wt)¶
Set the weighting ratio used in Gaussian quadrature.
- Parameters:
- wtlist or numpy.ndarray
Weighting ratio.