Skip to content

Latest commit

 

History

History
11 lines (8 loc) · 1.48 KB

supporting_matl.md

File metadata and controls

11 lines (8 loc) · 1.48 KB
Raw

References and further reading

  • The probability distribution used by this package to model asymmetrically uncertain quantities is given in Eq. (2) of Starling, et al. (2008).1 The methodology presented in this paper partially inspired the creation of this package in the first place.
  • @muryelgp's asymmetric_uncertainties package, which (as the name suggests) has some similar functionality to this, but uses Monte Carlo methods rather than an empirical/analytical function to model the error distributions. The mathematical basis behind this alternative method is described in Barlow (2004).2
  • This package has been used in two of my own works: cgobat/dark-GRBs3 and cgobat/XDBS.4

Footnotes

  1. R.L.C. Starling, et al. (2008). ApJ 672(1), 433. bibcode:2008ApJ...672..433S. ↩

  2. R. Barlow (2004). arXiv:physics/0406120 bibcode:2004physics...6120B ↩

  3. C. Gobat, et al. (2023). MNRAS 523(1), 775. bibcode:2023MNRAS.523..775G ↩

  4. C. Gobat, et al. (2022). RNAAS 6(8), 163. bibcode:2022RNAAS...6..163G ↩