| |
 |
| Paper: |
Multiwavelength Variability Surveys: Reaping the Stellar Harvest |
| Volume: |
512, Astronomical Data Analysis Software and Systems XXV |
| Page: |
13 |
| Authors: |
Cody, A. M.; Stauffer, J. R.; Rebull, L. M.; Hillenbrand, L. A.; Song, I. |
| Abstract: |
Over the past decade, a number of dedicated stellar variability surveys have launched from both the ground and
space. Many of these programs focus on the detection of specific events, such as exoplanet transits, microlensing
amplification, or extragalactic transients. Yet the observed variability behavior encompasses a much larger range
of stellar phenomena. To take full advantage of variability survey data, we must detect and classify distinct
morphological features in light curves. This task has been particularly challenging for the young (1–10
million year old) stars, which are well known to vary at the 1–100% level on timescales of hours to years.
Here we highlight recent progress in the identification, classification, and physical understanding of young
star variability. We introduce a selection of time series of pre-main sequence stars from state-of-the-art
datasets, including the Young Stellar Object Variability (YSOVAR) campaign with the Spitzer Space Telescope.
We describe the data storage approaches and time series analysis techniques employed to extract physically
meaningful information from the light curves. The lessons learned from YSOVAR and other campaigns should be
broadly applicable to massive future surveys such as TESS and LSST. |
|
|
|
|
|
