dense basis

The dense basis method is a package designed for modeling the multiwavelength Spectral Energy Distributions (SEDs) of galaxies and perform inference to get at their physical properties and stellar populations.

It models flexible, non-parametric star formation histories (SFHs; described in Iyer et al. (2019)) that can maximise the amount of SFH information recovered from a galaxy's SED, while bypassing the traditional biases in recovering properties like stellar masses and star formation rates due to traditional SFH parametrizations.

Getting started is easy, you can install dense basis from github at kartheikiyer/dense_basis with tutorials available on readthedocs. Dense basis is built to work with the Flexible Stellar Population Synthesis (FSPS) (and soon, with Synthesizer).

A list of the (40+) papers published using dense basis so far is available here on ADS. If you use dense basis in your work, please cite it using

@ARTICLE{2019ApJ...879..116I,
       author = {{Iyer}, Kartheik G. and {Gawiser}, Eric and {Faber}, Sandra M. and {Ferguson}, Henry C. and {Kartaltepe}, Jeyhan and {Koekemoer}, Anton M. and {Pacifici}, Camilla and {Somerville}, Rachel S.},
        title = "{Nonparametric Star Formation History Reconstruction with Gaussian Processes. I. Counting Major Episodes of Star Formation}",
      journal = {\apj},
     keywords = {galaxies: evolution, galaxies: fundamental parameters, galaxies: star formation, galaxies: statistics, techniques: photometric, Astrophysics - Astrophysics of Galaxies},
         year = 2019,
        month = jul,
       volume = {879},
       number = {2},
          eid = {116},
        pages = {116},
          doi = {10.3847/1538-4357/ab2052},
archivePrefix = {arXiv},
       eprint = {1901.02877},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019ApJ...879..116I},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

dense basis is also citable through the Astrophysics Source Code Library ascl:2104.015.