GetDist

GetDist is a Python package for analysing Monte Carlo samples, including correlated samples from Markov Chain Monte Carlo (MCMC). Point and click GUI - select chain files, view plots, marginalized constraints, LaTeX tables and more; Plotting library - make custom publication-ready 1D, 2D, 3D-scatter, triangle and other plots; Named parameters - simple handling of many parameters using parameter names, including LaTeX labels and prior bounds; Optimized Kernel Density Estimation - automated optimal bandwidth choice for 1D and 2D densities (Botev et al. Improved Sheather-Jones method), with boundary and bias correction; Convergence diagnostics - including correlation length and diagonalized Gelman-Rubin statistics; LaTeX tables for marginalized 1D constraints.


References in zbMATH (referenced in 23 articles )

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  1. Anagnostopoulos, Fotios K.; Basilakos, Spyros; Saridakis, Emmanuel N.: First evidence that non-metricity (f(Q)) gravity could challenge (\Lambda)CDM (2021)
  2. Aviles, Alejandro; Banerjee, Arka; Niz, Gustavo; Slepian, Zachary: Clustering in massive neutrino cosmologies via Eulerian perturbation theory (2021)
  3. Banihashemi, Abdolali; Khosravi, Nima; Shafieloo, Arman: Dark energy as a critical phenomenon: a hint from Hubble tension (2021)
  4. Bernardo, Reginald Christian; Said, Jackson Levi: A data-driven reconstruction of Horndeski gravity via the Gaussian processes (2021)
  5. Braglia, Matteo; Chen, Xingang; Hazra, Dhiraj Kumar: Comparing multi-field primordial feature models with the Planck data (2021)
  6. Byun, Joyce; Oddo, Andrea; Porciani, Cristiano; Sefusatti, Emiliano: Towards cosmological constraints from the compressed modal bispectrum: a robust comparison of real-space bispectrum estimators (2021)
  7. Caravano, Angelo; Lüben, Marvin; Weller, Jochen: Combining cosmological and local bounds on bimetric theory (2021)
  8. Carrilho, Pedro; Moretti, Chiara; Bose, Benjamin; Markovič, Katarina; Pourtsidou, Alkistis: Interacting dark energy from redshift-space galaxy clustering (2021)
  9. Chen, Shu-Fan; Lee, Hayden; Dvorkin, Cora: Precise and accurate cosmology with CMB(\times)LSS power spectra and bispectra (2021)
  10. De Felice, Antonio; Mukohyama, Shinji; Pookkillath, Masroor C.: Addressing (H_0) tension by means of VCDM (2021)
  11. Hashim, Mahmoud; El Hanafy, Waleed; Golovnev, Alexey; El-Zant, Amr A.: Toward a concordance teleparallel cosmology. I: Background dynamics (2021)
  12. Hashim, Mahmoud; El-Zant, Amr A.; El Hanafy, Waleed; Golovnev, Alexey: Toward a concordance teleparallel cosmology. II: Linear perturbation (2021)
  13. Heisenberg, Lavinia; Villarrubia-Rojo, Hector: Proca in the sky (2021)
  14. Kelley, Luke Zoltan: kalepy: a Python package for kernel density estimation, sampling and plotting (2021) not zbMATH
  15. Oddo, Andrea; Rizzo, Federico; Sefusatti, Emiliano; Porciani, Cristiano; Monaco, Pierluigi: Cosmological parameters from the likelihood analysis of the galaxy power spectrum and bispectrum in real space (2021)
  16. Pordeus-da-Silva, G.; Batista, R. C.; Medeiros, L. G.: Analytical warm dark matter power spectrum on small scales (2021)
  17. Resco, Miguel Aparicio; Maroto, Antonio L.: Modified gravity or imperfect dark matter: a model-independent discrimination (2021)
  18. Umeh, Obinna; Maartens, Roy; Padmanabhan, Hamsa; Camera, Stefano: The effect of finite halo size on the clustering of neutral hydrogen (2021)
  19. Zhang, Xinyi; Zhou, Shun: Inverse seesaw model with a modular (S_4) symmetry: lepton flavor mixing and warm dark matter (2021)
  20. Hamaus, Nico; Pisani, Alice; Choi, Jin-Ah; Lavaux, Guilhem; Wandelt, Benjamin D.; Weller, Jochen: Precision cosmology with voids in the final BOSS data (2020)

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