Welcome to slug’s documentation!

Contents:

• License
• Getting SLUG
• Introduction to SLUG
  • What Does SLUG Do?
  • Cluster Simulations and Galaxy Simulations
  • Probability Distribution Functions: the IMF, SFH, CMF, CLF, A_V distribution
  • Spectra and Photometry
  • Monte Carlo Simulation
  • Nebular Processing
  • Extinction
  • Chemical Yields
• Compiling and Installing SLUG
  • Dependencies
  • Compiling
  • Machine-Specific Makefiles
  • Note on Boost Naming and Linking Issues
• Running a SLUG simulation
  • Basic Serial Runs
  • Thread-Based Parallelism
  • MPI-Based Parallelism
  • Checkpointing and Restarting
• Parameter Specification
  • Automated Parameter File Generation
  • File Format
  • Basic Keywords
  • Simulation Control Keywords
  • Output Control Keywords
  • Stellar Model Keywords
  • Extinction Keywords
  • Nebular Keywords
  • Photometric Filter Keywords
  • Yield Keywords
• Probability Distribution Functions
  • Basic Mode
  • Variable Mode
  • Advanced Mode
  • Sampling Methods
• Output Files and Format
  • The integrated_prop File
  • The integrated_spec File
  • The integrated_phot File
  • The integrated_yield File
  • The cluster_prop File
  • The cluster_spec File
  • The cluster_phot File
  • The cluster_yield File
  • Checkpoint Files
• Filters and Filter Data
• slugpy – The Python Helper Library
  • Installing slugpy
  • Basic Usage
  • Full Documentation of slugpy
• cloudy_slug: An Automated Interface to cloudy
  • cloudy_slug Basics
  • The cloudy_slug Physical Model
  • The cloudy_slug Input Template
  • The cloudy_slug Interface Script
  • Full Description of cloudy_slug Output
  • Full Documentation of slugpy.cloudy
• bayesphot: Bayesian Inference for Stochastic Stellar Populations
  • What Does bayesphot Do?
  • Creating bp Objects
  • Using bp Objects
  • Caching
  • Parallelism in bayesphot
  • Full Documentation of slugpy.bayesphot
• cluster_slug: Bayesian Inference of Star Cluster Properties
  • Getting the Default Library
  • Basic Usage
  • Using cluster_slug in Parallel
  • Making Your Own Library
  • Variable Mode IMF
  • Full Documentation of slugpy.cluster_slug
• sfr_slug: Bayesian Inference of Star Formation Rates
  • Getting the Default Library
  • Basic Usage
  • Full Documentation of slugpy.sfr_slug
• Test Problems
  • Problem example_galaxy: basic galaxy simulation
  • Problem example_cluster: basic cluster simulation
  • Problem constsampl: importance of constrained sampling
  • Problem sampling: different sampling techniques
  • Problem imfchoice: different IMF implementations
  • Problem clfraction: cluster fraction at work
  • Problem cmfchoice: different CMF implementations
  • Problem sfhsampling: realizations of SFH
  • Problem cldisrupt: cluster disruption at work
  • Problem spectra: full spectra
• Using SLUG as a Library
  • Compiling in Library Mode
  • Predefined Objects
  • Using SLUG as a Library with MPI-Enabled Codes
• Contributors and Acknowledgements

Indices and tables

• Index

• Module Index

• Search Page