SPT-3G Data Products

ACT + SPT CMB Lensing Likelihood and Chains



Products from the joint ACT + SPT CMB Lensing analysis presented by ACT and SPT Collaborations (2025).

We provide a python likelihood that can be used in the Cobaya package (https://cobaya.readthedocs.io/en/latest/), or as a standalone code, as well as a tar bundle containing Cobaya MCMC chain output described in the paper linked above. See the readme contained in the likelihood bundle for more information.

If you use this software and/or the associated data, please cite the following papers:

  • ACT and SPT Collaborations (2025), PRL accepted, arXiv:2504.20038
  • F. Ge et al (SPT-3G Collaboration) 2024, arXiv: 2411.06000
  • Mathew S. Madhavacheril et al (ACT Collaboration) 2024 ApJ 962 113, arXiv:2304.05203
  • Frank J. Qu et al (ACT Collaboration) 2024 ApJ 962 112, arXiv:2304.05202
  • Niall MacCrann et al (ACT Collaboration) 2024 ApJ 966 138, arXiv: 2304.05196

In addition, if you use any variant involving Planck lensing from the likelihood, please also cite:

  • Julien Carron et al JCAP09(2022)039, arXiv:2206.07773

This likelihood software is also available on GitHub at https://github.com/qujia7/spt_act_likelihood/.

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