DMTN-118: Review of Timeseries Features

Bellm, Eric C.

doi:10.71929/rubin/2997999

Title: DMTN-118: Review of Timeseries Features

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Abstract

Rubin Observatory will compute timeseries variability features on lightcurves to aid users in identifying objects of interest, both during realtime Alert Production as well as in the annual Data Releases. The Data Products Definition Document (DPDD; LSE-163) allocates space for pre-computed timeseries features, and a sample set is baselined in LDM-151. However, in the subsequent decade the scientfic community has made a great deal of further progress in this area. This technote reviews the relevant literature, grouping related features where possible; discusses potential concerns and open questions; and proposes a new baseline feature set.

Authors:

Dept. of Astronomy, University of Washington

Publication Date:: Fri May 28 04:00:00 UTC 2021

Other Number(s):: Vera C. Rubin Observatory Data Management Technical Note DMTN-118

DOE Contract Number:: AC02-76SF00515

Research Org.:: NSF-DOE Vera C. Rubin Observatory

Sponsoring Org.:: U.S. National Science Foundation; U.S. Department of Energy Office of Science

Subject:: 79 ASTRONOMY AND ASTROPHYSICS

OSTI Identifier:: 2997999

DOI:: https://doi.org/10.71929/rubin/2997999

Citation Formats


                    Bellm, Eric C. DMTN-118: Review of Timeseries Features.  United States: N. p., 2021. 
        Web.  doi:10.71929/rubin/2997999.

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                    Bellm, Eric C. DMTN-118: Review of Timeseries Features.  United States.  doi:https://doi.org/10.71929/rubin/2997999

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                    Bellm, Eric C. 2021.  
"DMTN-118: Review of Timeseries Features".  United States.  doi:https://doi.org/10.71929/rubin/2997999.  https://www.osti.gov/servlets/purl/2997999. Pub date:Fri May 28 04:00:00 UTC 2021

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@article{osti_2997999,

  title        = {DMTN-118: Review of Timeseries Features},

  author       = {Bellm, Eric C.},

  abstractNote = {Rubin Observatory will compute timeseries variability features on lightcurves to aid users in identifying objects of interest, both during realtime Alert Production as well as in the annual Data Releases. The Data Products Definition Document (DPDD; LSE-163) allocates space for pre-computed timeseries features, and a sample set is baselined in LDM-151. However, in the subsequent decade the scientfic community has made a great deal of further progress in this area. This technote reviews the relevant literature, grouping related features where possible; discusses potential concerns and open questions; and proposes a new baseline feature set.},

  doi          = {10.71929/rubin/2997999},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri May 28 04:00:00 UTC 2021},

  month        = {Fri May 28 04:00:00 UTC 2021}

}

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DOI: https://doi.org/10.71929/rubin/2997999

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