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@dawg-at-irya

Data Analysis Working Group @ IRyA/UNAM

Popular repositories

  1. tetrabloks-talk tetrabloks-talk Public

    Will's 10 minute presentation on "Tetrabloks – an algorithm for multi-resolution mapping of inhomogeneous data"

    1

  2. github-copilot-talk github-copilot-talk Public

    A brief introduction to Github Copilot

    1

  3. dawgi-graph-slopes dawgi-graph-slopes Public

    Short presentation: "On the optimal slope of graphs (and why you should compensate your power spectra)"

  4. color-maps-talk color-maps-talk Public

    How to choose color maps for figures

    Jupyter Notebook

  5. histograms-and-KDEs histograms-and-KDEs Public

    Estimating the density distributions of data using histograms and KDEs: some caveats and tips

    Jupyter Notebook

  6. fits-image-axes-talk fits-image-axes-talk Public

    Presentation about how to display a FITS image with scientifically meaningful axes

    Jupyter Notebook

Repositories

Showing 10 of 16 repositories
  • outlier-pruning Public

    Gaussian Mixture Model + MCMC for fitting data with outliers

    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Apr 23, 2024
  • conics-talk Public

    Fitting conic sections to data: Parabolae, ellipses, and hyperbolae

    0 CC0-1.0 0 0 0 Updated Mar 1, 2024
  • error-propagation Public

    Error propagation: the right and the wrong

    Jupyter Notebook 0 0 0 0 Updated Feb 29, 2024
  • fit-line-MCMC Public

    Fit a line to data using MCMC (specifically, the emcee package)

    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Nov 15, 2023
  • bootstrap Public

    A brief presentation on bootstrap resampling

    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Oct 20, 2023
  • chisq-line-fit Public

    Fitting a line to data: when and how to use the chi-squared

    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Sep 19, 2023
  • Analysis_of_a_light_curve Public

    This notebook presents code for smoothing and analyzing periodic light curves, improving signal quality and eliminating noise peaks.

    Jupyter Notebook 0 0 0 0 Updated May 24, 2023
  • data_fitting_talk Public

    In this talk we explain the differences between linear and non-linear models as well as ordinary least squares and non-linear least squares. Also we introduce some Python tools that can be used for fitting models to data.

    0 0 0 0 Updated May 22, 2023
  • histograms-and-KDEs Public

    Estimating the density distributions of data using histograms and KDEs: some caveats and tips

    Jupyter Notebook 0 0 0 0 Updated Apr 26, 2023
  • fits-image-axes-talk Public

    Presentation about how to display a FITS image with scientifically meaningful axes

    Jupyter Notebook 0 MIT 0 0 0 Updated Mar 28, 2023
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