English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We describe the simulated data sample for the "Photometric LSST AstronomicalTime Series Classification Challenge" (PLAsTiCC), a publicly availablechallenge to classify transient and variable events that will be observed bythe Large Synoptic Survey Telescope (LSST), a new facility expected to start inthe early 2020s. The challenge was hosted by Kaggle, ran from 2018 September 28to 2018 December 17, and included 1,094 teams competing for prizes. Here weprovide details of the 18 transient and variable source models, which were notrevealed until after the challenge, and release the model libraries athttps://doi.org/10.5281/zenodo.2612896. We describe the LSST OperationsSimulator used to predict realistic observing conditions, and we describe thepublicly available SNANA simulation code used to transform the models intoobserved fluxes and uncertainties in the LSST passbands (ugrizy). AlthoughPLAsTiCC has finished, the publicly available models and simulation tools arebeing used within the astronomy community to further improve classification,and to study contamination in photometrically identified samples of type Iasupernova used to measure properties of dark energy. Our simulation frameworkwill continue serving as a platform to improve the PLAsTiCC models, and todevelop new models.

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)