Astronomy and Astrophysics – Astronomy
Scientific paper
Jul 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995apj...447..880l&link_type=abstract
Astrophysical Journal v.447, p.880
Astronomy and Astrophysics
Astronomy
3
Methods: Analytical, Methods: Data Analysis, Stars: Individual Constellation Name: Alpha Gruis, Ultraviolet: Stars
Scientific paper
We have developed tomography/power spectrum algorithms to differentiate the intrinsic stellar spectrum from the pronounced fluctuations in the spectrum counts due to photocathode granularity and diode-to-diode gain variations. We have presented the results of four typical high signal-to-noise (S/N) and high-resolution data sets, obtained from the Goddard High Resolution Spectrograph (GHRS) aboard the Hubble Space Telescope (HST), for the bright star α Gru to demonstrate various utilities of these techniques. Our algorithms allow the final merged HST spectrum to achieve a higher signal-to-noise ratio, and could be applied to resolve the fixed pattern noise (FPN) problems that would be found in the distorted/degraded detectors in `both current and future planned instrumentations, e.g., the GHRS and the second generation Space Telescope Imaging Spectrograph (STIS) for the HST.
Bruhweiler Frederick C.
Lyu Cheng-Hsuan
Smith Matthew A.
No associations
LandOfFree
Tomography/Power Spectrum Techniques for Removal of Fixed Pattern Noise from Hubble Space Telescope Spectra 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 Tomography/Power Spectrum Techniques for Removal of Fixed Pattern Noise from Hubble Space Telescope Spectra, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Tomography/Power Spectrum Techniques for Removal of Fixed Pattern Noise from Hubble Space Telescope Spectra will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1170350