SNITCH: seeking a simple, informative star formation history inference tool

@article{Smethurst2019SNITCHSA,
  title={SNITCH: seeking a simple, informative star formation history inference tool},
  author={Rebecca J. Smethurst and Michael R. Merrifield and Chris J. Lintott and Karen L Masters and Brooke D. Simmons and Amelia Fraser-McKelvie and Thomas G. Peterken and M'ed'eric Boquien and Rogemar Andr'e Riffel and Niv Drory},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2019},
  volume={484},
  pages={3590-3603}
}
  • Rebecca J. Smethurst, Michael R. Merrifield, +7 authors Niv Drory
  • Published 2019
  • Physics
  • Monthly Notices of the Royal Astronomical Society
  • Deriving a simple, analytic galaxy star formation history (SFH) using observational data is a complex task without the proper tool to hand. We therefore present SNITCH, an open source code written in PYTHON, developed to quickly (2 min) infer the parameters describing an analytic SFH model from the emission and absorption features of a galaxy spectrum dominated by star formation gas ionization. SNITCH uses the Flexible Stellar Population Synthesis models of Conroy, Gunn & White (2009), the… CONTINUE READING

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