emcee 3.0.2-foss-2020b

Emcee is an extensible, pure-Python implementation of Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler. It's designed for Bayesian parameter estimation and it's really sweet!

Accessing emcee 3.0.2-foss-2020b

To load the module for emcee 3.0.2-foss-2020b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load emcee/3.0.2-foss-2020b

BEAR Apps Version

2020b

Architectures

EL8-cascadelakeEL8-haswell

The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.

More Information

For more information visit the emcee website.

Dependencies

This version of emcee has a direct dependency on: foss/2020b h5py/3.1.0-foss-2020b Python/3.8.6-GCCcore-10.2.0 SciPy-bundle/2020.11-foss-2020b

Other Versions

These versions of emcee are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version BEAR Apps Version
2.2.1-foss-2019a 2019a

Last modified on 21st April 2021