1981
DOI: 10.1086/130868
|View full text |Cite
|
Sign up to set email alerts
|

Photoelectric photometry - an approach to data reduction

Abstract: The overall problem of reducing photoelectric photometry data is reviewed, and a general reduction method that differs significantly from the traditional approach of Hardie and others is summarized and analyzed. The technique, essentially a multilinear solution for all the transformation model parameters simultaneously, is especially suitable for modern computing facilities, and is both faster and more reliable than older approaches. This particular technique is also shown to be sufficiently powerful and versa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
76
0

Year Published

1989
1989
2008
2008

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 89 publications
(76 citation statements)
references
References 6 publications
0
76
0
Order By: Relevance
“…We adopted 0.015 mag as the floor to the calculated errors, based on the observed dispersion in the transformation between instrumental and standard magnitudes of bright stars (see below). To derive the transformation of the instrumental magnitudes into the standard system, we used the following (Harris et al 1981):…”
Section: Optical Imagingmentioning
confidence: 99%
“…We adopted 0.015 mag as the floor to the calculated errors, based on the observed dispersion in the transformation between instrumental and standard magnitudes of bright stars (see below). To derive the transformation of the instrumental magnitudes into the standard system, we used the following (Harris et al 1981):…”
Section: Optical Imagingmentioning
confidence: 99%
“…The standard star magnitudes were measured with PSF photometry and aperture corrections were applied to convert the PSF magnitudes to magnitudes in an aperture with a radius of five times the seeing. Following Harris et al (1981), all measured magnitudes were fitted simultaneously (with 3σ clipping) to derive linear transformation equations, with the additional requirement that the color-terms and the zero-points to be the same for the two nights. Second-order extinction terms were not included.…”
Section: Optical Photometrymentioning
confidence: 99%
“…Table 3 presents the best fit (computed using a linear single-value decomposition algorithm) to the photometric equation (e.g., Harris et al 1981):…”
Section: Calibrationmentioning
confidence: 99%