Detecting Rare Events in the Time-Domain

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Time Series Analysis, Time Variability, Image Processing, Dark Matter, Quasars, Active Or Peculiar Galaxies, Objects, And Systems

Scientific paper

One of the biggest challenges in current and future time-domain surveys is to extract the objects of interest from the immense data stream. There are two aspects to achieving this goal: detecting variable sources and classifying them. Difference imaging provides an elegant technique for identifying new transients or changes in source brightness. Much progress has been made in recent years toward refining the process. We discuss a selection of pitfalls that can afflict an automated difference imagine pipeline and describe some solutions. After identifying true astrophysical variables, we are faced with the challenge of classifying them. For rare events, such as supernovae and microlensing, this challenge is magnified because we must balance having selection criteria that select for the largest number of objects of interest against a high contamination rate. We discuss considerations and techniques for developing classification shemes.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Detecting Rare Events in the Time-Domain does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Detecting Rare Events in the Time-Domain, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting Rare Events in the Time-Domain will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1099939

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.