The Astrophysics Source Code Library (ASCL) is a free online registry for source codes of interest to astronomers and astrophysicists and lists codes that have been used in research that has appeared in, or been submitted to, peer-reviewed publications. The ASCL is indexed by the SAO/NASA Astrophysics Data System (ADS) and is citable by using the unique ascl ID assigned to each code. The ascl ID can be used to link to the code entry by prefacing the number with (i.e.,

References in zbMATH (referenced in 27 articles )

Showing results 1 to 20 of 27.
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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. Holzer, Parker H.; Cisewski-Kehe, Jessi; Fischer, Debra; Zhao, Lily: A Hermite-Gaussian based exoplanet radial velocity estimation method (2021)
  3. Molins, Sergi; Soulaine, Cyprien; Prasianakis, Nikolaos I.; Abbasi, Aida; Poncet, Philippe; Ladd, Anthony J. C.; Starchenko, Vitalii; Roman, Sophie; Trebotich, David; Tchelepi, Hamdi A.; Steefel, Carl I.: Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: review of approaches and benchmark problem set (2021)
  4. Perla, Francesca; Richman, Ronald; Scognamiglio, Salvatore; Wüthrich, Mario V.: Time-series forecasting of mortality rates using deep learning (2021)
  5. Voivodic, Rodrigo; Barreira, Alexandre: Responses of halo occupation distributions: a new ingredient in the halo model & the impact on galaxy bias (2021)
  6. Westernacher-Schneider, John Ryan: Extremely high-order convergence in simulations of relativistic stars (2021)
  7. Woldegerima, Woldegebriel Assefa; Ouifki, Rachid; Banasiak, Jacek: Mathematical analysis of the impact of transmission-blocking drugs on the population dynamics of malaria (2021)
  8. Barreira, Alexandre: On the impact of galaxy bias uncertainties on primordial non-Gaussianity constraints (2020)
  9. Choi, Han-Soo; Gwon, Dalhyeon; Han, Heejae; Kang, Myungjoo: Curvature-weighted surface simplification algorithm using vertex-based geometric features (2020)
  10. Popovici, Doru Thom; Schatz, Martin D.; Franchetti, Franz; Low, Tze Meng: A flexible framework for multidimensional DFTs (2020)
  11. Portegies Zwart, Simon; Pelupessy, Inti; Martínez-Barbosa, Carmen; van Elteren, Arjen; McMillan, Steve: Non-intrusive hierarchical coupling strategies for multi-scale simulations in gravitational dynamics (2020)
  12. Sangiorgio, Matteo; Dercole, Fabio: Robustness of LSTM neural networks for multi-step forecasting of chaotic time series (2020)
  13. Currie, L. K.; Tobias, S. M.: Convection-driven kinematic dynamos with a self-consistent shear flow (2019)
  14. Dakin, Jeppe; Hannestad, Steen; Tram, Thomas; Knabenhans, Mischa; Stadel, Joachim: Dark energy perturbations in (N)-body simulations (2019)
  15. Madsen, Tobias; Świtnicki, Michał; Juul, Malene; Skou Pedersen, Jakob: \textttEBADIMEX: an empirical Bayes approach to detect joint differential expression and methylation and to classify samples (2019)
  16. Morzfeld, M.; Tong, X. T.; Marzouk, Y. M.: Localization for MCMC: sampling high-dimensional posterior distributions with local structure (2019)
  17. Regier, Jeffrey; Miller, Andrew C.; Schlegel, David; Adams, Ryan P.; McAuliffe, Jon D.; Prabhat: Approximate inference for constructing astronomical catalogs from images (2019)
  18. Alex Griffiths, Christopher J. Conselice: AutoSpec: Fast Automated Spectral Extraction Software for IFU Datacubes (2018) arXiv
  19. Catherine Zucker; Hope How-Huan Chen: RadFil: a Python Package for Building and Fitting Radial Profiles for Interstellar Filaments (2018) arXiv
  20. Couston, Louis-Alexandre; Lecoanet, Daniel; Favier, Benjamin; Le Bars, Michael: The energy flux spectrum of internal waves generated by turbulent convection (2018)

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