The DiskMass Survey. III. Stellar Kinematics Via Cross-Correlation

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

2

Galaxies: Kinematics And Dynamics, Galaxies: Spiral, Methods: Data Analysis, Techniques: Spectroscopic

Scientific paper

We describe a new cross-correlation (CC) approach used by our survey to derive stellar kinematics from galaxy-continuum spectroscopy. This approach adopts the formal error analysis derived by Statler, but properly handles spectral masks. Thus, we address the primary concerns regarding application of the CC method to censored data, while maintaining its primary advantage by consolidating kinematic and template-mismatch information toward different regions of the CC function. We identify a systematic error in the nominal CC method of approximately 10% in velocity dispersion incurred by a mistreatment of detector-censored data, which is eliminated by our new method. We derive our approach from first principles, and we use Monte Carlo simulations to demonstrate its efficacy. An identical set of Monte Carlo simulations performed using the well-established penalized-pixel-fitting code of Cappellari & Emsellem compares favorably with the results from our newly implemented software. Finally, we provide a practical demonstration of this software by extracting stellar kinematics from SparsePak spectra of UGC 6918.

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

The DiskMass Survey. III. Stellar Kinematics Via Cross-Correlation 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 The DiskMass Survey. III. Stellar Kinematics Via Cross-Correlation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The DiskMass Survey. III. Stellar Kinematics Via Cross-Correlation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1184343

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