Welcome to Flarestack’s documentation!

by Robert Stein @robertdstein

Currently also maintained by

• Jannis Necker @JannisNe

• Massimiliano Lincetto @mlincett

More contributions by

• Federica Bradascio @fbradascio

• Simone Garrappa @simonegarrappa

Code for unbinned likelihood analysis of astroparticle physics data. Both time-dependent and time-independent analyses can be performed, as well as a “flare-search” algorithm to find event clustering in time as well as space.

Performs single point source analyses, as well as the stacking of sources according to predefined weighting. Also performs stacking analyses where the signal strength of each source is fit individually.

Citing flarestack

If you use flarestack for analysis, please cite it! A DOI is provided by Zenodo, which can reference both the code repository, or specific releases of Flarestack.

CONTENTS

• Getting started
• Installation instructions
  • OPTION A: I only want to do an analysis, and trust the under-the-hood code
  • OPTION B: Actually, I want to see the backend code myself. Maybe I want to contribute to it!
  • Using KDE PDFs
  • Right, anyway, I’ve now downloaded flarestack. Can I use it right away?
  • Setting up the dataset directory
  • Setting up directory for storing data
• Building documentation
• Testing flarestack
• Using flarestack for IceCube analysis
• Citing flarestack
• Data types
  • Catalogue
• Datasets
  • Dataset index
  • Reduce a dataset to the relevant seasons
  • Adding a new dataset
• Introduction to
  • Links
  • Logging
  • 1. Installation
  • 2. Using Flarestack Classes
  • 3. Example: Point Source Sensitivity
  • 4. Example: Upper Limits
• Data formats and datasets
• Base PDFs
  • Time PDFs
  • Energy PDFs
  • Spatial PDFs
• Composite PDF Objects
  • Injector
  • Log Likelihood
• Utils
  • IceCube Utils
• Submitter

Indices and tables

• Index

• Module Index

• Search Page