Selection of Burst-like Transients and Stochastic Variables Using Multi-Band Image Differencing in the Pan-STARRS1 Medium-Deep Survey

@article{Kumar2015SelectionOB,
  title={Selection of Burst-like Transients and Stochastic Variables Using Multi-Band Image Differencing in the Pan-STARRS1 Medium-Deep Survey},
  author={S. Kumar and Suvi Gezari and S. Heinis and Ryan Chornock and Edo Berger and Armin Rest and Martin E. Huber and Ryan J. Foley and Gautham Narayan and G. H. Marion and Dan Scolnic and Alicia Margarita Soderberg and Andy Lawrence and Christopher W. Stubbs and Robert P. Kirshner and Adam G. Riess and Steven J. Smartt and K. W. Smith and W. Michael Wood-Vasey and W. S. Burgett and K. C. Chambers and Heather Flewelling and N. Kaiser and N. Metcalfe and Paul A. Price and John L. Tonry and Richard J. Wainscoat},
  journal={arXiv: Instrumentation and Methods for Astrophysics},
  year={2015}
}
We present a novel method for the light-curve characterization of Pan-STARRS1 Medium Deep Survey (PS1 MDS) extragalactic sources into stochastic variables (SV) and burst-like (BL) transients, using multi-band image-differencing time-series data. We select detections in difference images associated with galaxy hosts using a star/galaxy catalog extracted from the deep PS1 MDS stacked images, and adopt a maximum a posteriori formulation to model their difference-flux time-series in four Pan… 
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