SkyLLH
SkyLLH: Python framework for unbinned log-likelihood (point-source) analyses, incl. IceCube public-data analyses
Generalised Python tool for log-likelihood analyses in multi-messenger astronomy, developed in IceCube; supports time-integrated and time-dependent point-source searches and analyses of the IceCube 10-year public point-source data.
Get it
| Location | Role | Host | Formats | Size |
|---|---|---|---|---|
| https://github.com/icecube/skyllh | primary | GitHub | Source code |
Metadata
| Creators | IceCube Collaboration |
|---|---|
| Owner | icecube |
| Published | 2020-03-17 |
| Last updated | 2026-10-23 |
| Licence | GPL-3.0-only |
| Access | Open |
| Experiments | IceCube |
| Languages | Python |
| Purpose | Fitting / inference framework |
| Development | active |
Uses
- Data sets All-sky point-source IceCube data: years 2008-2018 — public-data point-source analyses
Know of another paper or code that uses this, or an input it depends on? Tell us.
Papers
- PoS(ICRC2019)1035 · doi:10.22323/1.358.1035 · arXiv:1908.05181 (describes)
- The SkyLLH framework for IceCube point-source search, PoS(ICRC2021)1073 · doi:10.22323/1.395.1073 · arXiv:2107.08934 (describes)
- Extending SkyLLH for analyses with 10 years of IceCube public data, PoS(ICRC2023)1061 · doi:10.22323/1.444.1061 · arXiv:2308.12733 (describes)
How to cite
Curation
| Status | Curated (candidate: harvested, not reviewed · curated: reviewed metadata · verified: resource downloaded and checked against its paper) |
|---|---|
| Added | 2026-10-23 |