Jupyter-Enabled Astrophysical Analysis for Researchers and Students
  The advent of increasingly large and complex datasets has fundamentally
altered the way that scientists conduct astronomy research. The need to work
closely to the data has motivated the creation of online science platforms,
which include a suite of software tools and services, therefore going beyond
data storage and data access. We present two example applications of Jupyter as
a part of astrophysical science platforms for professional researchers and
students. First, the Astro Data Lab is developed and operated by NOIRLab with a
mission to serve the astronomy community with now over 1500 registered users.
Second, the Dark Energy Spectroscopic Instrument science platform serves its
geographically distributed team comprising about 900 collaborators from over 90
institutions. We describe the main uses of Jupyter and the interfaces that
needed to be created to embed it within science platform ecosystems. We use
these examples to illustrate the broader concept of empowering researchers and
providing them with access to not only large datasets but also cutting-edge
software, tools, and data services without requiring any local installation,
which can be relevant for a wide range of disciplines. Future advances may
involve science platform networks, and tools for simultaneously developing
Jupyter notebooks to facilitate collaborations.
