DRP assessments¶
Analysis class: mangadap.proc.reductionassessments.ReductionAssessments
Reference root: $MANGA_SPECTRO_ANALYSIS/$MANGADRP_VER/$MANGADAP_VER/common
Reference file: manga-[PLATE]-[IFUDESIGN]-[DRPQA_KEY].fits.gz
Config files: $MANGADAP_DIR/python/mangadap/config/reduction_assessments
Example config: snrg.ini
# The response function used is that provided by Jim Gunn in June 2001,
# found here:
#
# http://www.sdss3.org/binaries/filter_curves.fits
#
# and parsed into text files.
[Path]
dapsrc = ${MANGADAP_DIR}
[default]
key = SNRG
wave_limits
response_function_file = ${Path:dapsrc}/data/filter_response/gunn_2001_g_response.db
in_vacuum = True
covariance = True
Important class dependencies:
mangadap.drpfits.DRPFits
: Advanced class interface to the DRP output files that provides most of the assessments
Algorithm:
- Ignore any pixels masked with DONOTUSE or FORESTAR bits by DRP.
- Compute sky coordinates of each spaxel using the WCS coordinates (SPX_SKYCOO in MAPS file)
- Use input ellipticity and position angle parameters to compute semi-major axis radii (SPX_ELLCOO in MAPS file)
- Determine the fraction of unmasked wavelength channels for each spaxel
- If config specifies covariance calculation, compute the covariance using the
LOGRSS
file at:
- the center of the wavelength range if wavelength limits specified or,
- the broad-band weighted center of the response function
- Compute the (band-weighted) mean signal in each spaxel (SPX_MFLUX in MAPS file), (band-weighted) mean variance in each spaxel (SPX_MFLUX_IVAR in MAPS file), and the (band-weighted) mean S/N in each spaxel (SPX_SNR in MAPS file).