Optimal extraction of multiple overlapping spectra: a new algorithm based on the maximum entropy method

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

A general algorithm of slit spectra extraction for a system of point-like sources (e.g. multiple lensed images of the same quasar) has been developed, assuming that the point-spread function (PSF) of the measuring instrument and the positions of the spectra relative to the CCD frame are unknown. The main idea of the algorithm is to successively apply the maximum entropy method to each set of parameters, such as the spectra, the PSF, and the spectra positions, in order to iteratively improve their values. The algorithm uses all the a priori knowledge about the spectra (e.g. flux positivity, relative magnitudes between the components, astrometry, etc.) to compute the initial parameter sets. After careful testing, the algorithm was applied to extract the spectra of the gravitationally lensed system Q1009-0252 A & B (IB/IA=0.1, θAB=1.''55, 1{pxl}=0.''44, typical seeing FWHM=0.''8).

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Optimal extraction of multiple overlapping spectra: a new algorithm based on the maximum entropy method does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Optimal extraction of multiple overlapping spectra: a new algorithm based on the maximum entropy method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimal extraction of multiple overlapping spectra: a new algorithm based on the maximum entropy method will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1386780

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.