==========================================================================
J/AcA/50/421 OGLE-II DIA BUL_SC1 field (Wozniak, 2000)
The following files can be converted to FITS (extension .fit .fgz or .fiZ)
catalog.dat calib.dat
==========================================================================
Query from: http://vizier.cds.unistra.fr/viz-bin/VizieR?-source=J/AcA/50/421
==========================================================================
drwxr-xr-x 9 cats root 166 Jan 29 2012 [Up]
drwxr-xr-x 2 cats root 217 Jan 13 2023 [TAR file]
-rw-r--r-- 1 cats archive 474 Dec 19 2022 .message
-r--r--r-- 1 cats archive 6031 Jan 20 2008 ReadMe
-r--r--r-- 1 cats archive 262029 Jan 11 2008 calib.dat [txt] [txt.gz] [fits] [fits.gz] [html]
-r--r--r-- 1 cats archive 491879 Feb 3 2003 catalog.dat [txt] [txt.gz] [fits] [fits.gz] [html]
Beginning of ReadMe :J/AcA/50/421 OGLE-II DIA BUL_SC1 field (Wozniak, 2000)
================================================================================
Difference Image Analysis of the OGLE-II bulge data. I. The method.
Wozniak P.R.
<Acta Astron., 50, 421 (2000)>
=2000AcA....50..421W
================================================================================
ADC_Keywords: Gravitational lensing ; Photometry
Keywords: techniques: photometric - methods: data analysis
Abstract:
We present an implementation of the difference image photometry based
on the Alard and Lupton optimal PSF matching algorithm. The most
important feature distinguishing this method from the ones using
Fourier divisions is that equations are solved in real space and the
knowledge of each PSF is not required for determination of the
convolution kernel. We evaluate the method and software on 380G B of
OGLE-II bulge microlensing data obtained in 1997-1999 observing
seasons. The error distribution is Gaussian to better than 99% with
the amplitude only 17% above the photon noise limit for faint stars.
Over the entire range of the observed magnitudes the resulting scatter
is improved by a factor of 2-3 compared to DoPhot photometry,
currently a standard tool for massive stellar photometry in
microlensing searches. For testing purposes the photometry of approx
4600 candidate variable stars and sample difference image data are
provided for BUL_SC1 field. In the candidate selection process, very
few assumptions have been made about the specific types of flux
variations, which makes this data set well suited for general
variability studies, including the development of the classification
schemes.