TY - GEN
T1 - Variability detection by change-point analysis
AU - Chang, Seo Won
AU - Byun, Yong Ik
AU - Hahm, Jaegyoon
PY - 2013
Y1 - 2013
N2 - We describe a method to detect short-term variability based on the change-point analysis with filtering algorithm using local statistics. The use of cumulative sum scheme and bootstrap rank statistics as a means of detecting a series of change points is discussed. By applying this method to over 30,000 lightcurves from the MMT transit survey data, we found previously unknown evidences about stellar variability (including a total of 606 flare events, 18 eclipsing-like features, and 3 transit-like features). In particular, this approach will be effective in detecting non-periodic events in massive astronomical time series data.
AB - We describe a method to detect short-term variability based on the change-point analysis with filtering algorithm using local statistics. The use of cumulative sum scheme and bootstrap rank statistics as a means of detecting a series of change points is discussed. By applying this method to over 30,000 lightcurves from the MMT transit survey data, we found previously unknown evidences about stellar variability (including a total of 606 flare events, 18 eclipsing-like features, and 3 transit-like features). In particular, this approach will be effective in detecting non-periodic events in massive astronomical time series data.
UR - http://www.scopus.com/inward/record.url?scp=84894331694&partnerID=8YFLogxK
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U2 - 10.1007/978-1-4614-3520-4-48
DO - 10.1007/978-1-4614-3520-4-48
M3 - Conference contribution
AN - SCOPUS:84894331694
SN - 9781461449508
T3 - Information Systems Development: Reflections, Challenges and New Directions
SP - 491
EP - 493
BT - Information Systems Development
T2 - 20th International Conference on Information Systems Development: Reflections, Challenges and New Directions, ISD 2011
Y2 - 24 August 2011 through 26 August 2011
ER -