Connecting the time domain community with the Virtual Astronomical Observatory
arXiv:1206.4035 · doi:10.1117/12.926577
Abstract
The time domain has been identified as one of the most important areas of astronomical research for the next decade. The Virtual Observatory is in the vanguard with dedicated tools and services that enable and facilitate the discovery, dissemination and analysis of time domain data. These range in scope from rapid notifications of time-critical astronomical transients to annotating long-term variables with the latest modeling results. In this paper, we will review the prior art in these areas and focus on the capabilities that the VAO is bringing to bear in support of time domain science. In particular, we will focus on the issues involved with the heterogeneous collections of (ancillary) data associated with astronomical transients, and the time series characterization and classification tools required by the next generation of sky surveys, such as LSST and SKA.
Submitted to Proceedings of SPIE Observatory Operations: Strategies, Processes and Systems IV, Amsterdam, 2012 July 2-6
References in corpus (14)
- On Machine-Learned Classification of Variable Stars with Sparse and Noisy Time-Series Data
- Random forest automated supervised classification of Hipparcos periodic variable stars
- A comparison of period finding algorithms
- The Catalina Real-Time Transient Survey (CRTS)
- The Palomar-Quest Digital Synoptic Sky Survey
- The Zones Algorithm for Finding Points-Near-a-Point or Cross-Matching Spatial Datasets
- IVOA Recommendation: Sky Event Reporting Metadata Version 2.0
- Towards a Real-time Transient Classification Engine
- Towards an Automated Classification of Transient Events in Synoptic Sky Surveys
- New Approaches to Object Classification in Synoptic Sky Surveys
- Discovery, classification, and scientific exploration of transient events from the Catalina Real-time Transient Survey
- IVOA Recommendation: VOTable Format Definition Version 1.3
- Virtual Observatory: From Concept to Implementation
- The organization and management of the Virtual Astronomical Observatory
Cited by in corpus (5)
- Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys
- Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys
- Data Driven Discovery in Astrophysics
- The role in the Virtual Astronomical Observatory in the era of massive data sets
- The Virtual Astronomical Observatory: Re-engineering Access to Astronomical Data