Downloads provided by UsageCounts
Python code to derive data-driven upper limits on the thermally averaged, velocity-weighted pair-annihilation cross-section (velocity-independent) of a user-defined particle dark matter model using the expected differential gamma-ray spectrum of pair-annihilation events (provided by the user) as well as 10 years of Fermi-LAT data from observations of the Milky Way��s dwarf spheroidal galaxies.
jupyter-notebook, ESCAPE
Jupyter Notebook
jupyter-notebook, ESCAPE
Jupyter Notebook
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 20 | |
| downloads | 40 |

Views provided by UsageCounts
Downloads provided by UsageCounts