EXAMPLES · TIME_REQUIREMENTS · BUGS · REFERENCES · SEE_ALSO
petcont -- check whether pixels in a PET are members of more than one beam
petcont grism config
- Name of grism/prism image.
- Filename of grism/prism configuration file.
- (cont_model = gauss) [gauss|fluxcube|geometric]
- The contamination model to be applied.
- (model_scale = 3.0) [float]
- Scale factor for the gaussian emission model.
- (spec_models = "") [string]
- Multi-extension fits table with model spectra?
- (object_models = "") [string]
- Multi-extension fits image with object templates.
- (inter_type = linear) [linear|polynomial|spline]
- Interpolation type for the flux values.
- (lambda_psf = 400.0) [float]
- Wavelength in [nm] A_IMAGE and B_IMAGE was measured at (gauss).
- (cont_map = yes) [yes|no]
- Whether to write the contamination map into a FITS file.
- (in_AF = "") [string]
- Name to use for the input aperture file (instead of the default).
This taks determines for each pixel in a PET the degree of contamination experienced from other sources. There are two fundamentally different ways to describe the contamination:
The geometrical contamination (cont_model=geometric) just records the number of beams a PET pixel is used in.
The quantitative contamination uses an emission model and computes the contaminating flux according to the emission model (cont_model=gauss, fluxcube or direct). Using the direct emission model and/or high resolution spectra (parameter spec_models), the task can even be used to generate simulated grism images of the field.
Depending on the contamination model used the requirements for the Input Object Lists and mandatory input files are different. Please read the aXe manual for details.
aXe tasks use default names for input and output files based on the given name of the "grism" image. For this task the default input PET would be called <grism-rootname>_<science extension>.PET.fits and the input aperture file would be <grism-rootname>_<science extension>.OAF.
1. Compute the contamination for the image test_grism_1.fits using the gaussian emission model:
ax> petcont test_grism_1.fits SLIM.conf.test.0 cont_model='gauss'
Refer to manual for more detailed information about using this aXe task: