000002174 001__ 2174
000002174 005__ 20160706145607.0
000002174 0247_ $$2DOI$$a10.1051/0004-6361/201321178
000002174 037__ $$aASTROimport-331
000002174 100__ $$aDavid, M.
000002174 245__ $$aDetectability of micro-variables in the ASAS database
000002174 260__ $$c2013
000002174 520__ $$aAims: We exploit nine years of photometry in the ASAS V-band catalogue to develop a method to select in an objective way the best quality data and detect low-amplitude variables. We concentrate on bright stars (V  10) and avoid open cluster stellar densities.  Methods: We use the (probable) members of the Sco-Cen associations as a test sample of bright stars that includes periodic early-type photometric variables as well as young late-type stars with cyclic or irregular variability patterns. We select grade-A observations with consistent photometry in all apertures, amounting to 88 ± 4 per cent of all grade-A data in most cases, and use the aperture with lowest dispersion of magnitudes (excluding one percent of data to avoid sparse surviving outliers) to search for periodicities, cycles and long-term trends. The well-known alias problems, due to the once-per-night observing cadence in the ASAS project, can often be alleviated for the bright stars by use of the Hipparcos satellite photometry.  Results: Micro-variables with a range of variability as low as 0.01-0.02 mag for periodic variables (V magnitudes 7-10) and 0.04 mag for irregular long-term variables are detected. In total 37 light variables are identified: 14 were previously unknown, and another 12 were listed as suspected variables. The light variability in the young associations in Sco-Cen is briefly discussed.  Conclusions: The ASAS database contains much more information on photometric variables than retrieved commonly.
000002174 700__ $$aHensberge, H.
000002174 700__ $$aNitschelm, C.
000002174 773__ $$cA47$$pAstronomy and Astrophysics$$v557$$y2013
000002174 85642 $$ahttp://esoads.eso.org/abs/2013A%26A...557A..47D
000002174 905__ $$apublished in
000002174 980__ $$aREFERD