CITATION.cff

cff-version: 1.2.0
title: 'kima: Exoplanet detection in radial velocities'
type: software
authors:
  - family-names: Faria
    given-names: J. P.
    orcid: 'https://orcid.org/0000-0002-6728-244X'
    email: joao.faria@unige.ch
  - family-names: Santos
    given-names: N. C.
    orcid: 'https://orcid.org/0000-0003-4422-2919'
  - family-names: Figueira
    given-names: P.
    orcid: 'https://orcid.org/0000-0001-8504-283X'
  - family-names: Brewer
    given-names: B. J.
    orcid: 'https://orcid.org/0000-0002-6728-244X'
identifiers:
  - type: doi
    value: 10.21105/joss.00487
    description: JOSS paper
  - type: url
    value: 'https://arxiv.org/abs/1806.08305'
    description: ArXiv URL
repository-code: 'https://github.com/kima-org/kima'
url: 'https://kima.science'
abstract: >-
  The radial-velocity (RV) method is one of the most
  successful in the detection of exoplanets, but is hindered
  by the intrinsic RV variations of the star, which can
  easily mimic or hide true planetary signals. kima is a
  package for the detection and characterization of
  exoplanets using RV data. It fits Keplerian curves to a
  timeseries of RV measurements and calculates the evidence
  for models with a fixed number Np of Keplerian signals, or
  after marginalising over Np. Moreover, kima can use a GP
  with a quasi-periodic kernel as a noise model, to deal
  with activity-induced signals. The hyperparameters of the
  GP are inferred together with the orbital parameters. The
  code is written in C++, but includes easy-to-use Python
  bindings which facilitates the analysis of the results.
license: MIT
doi: 10.21105/joss.00487