The Crystal Ball function, named after the Crystal Ball Collaboration (hence the capitalized initial letters), is a probability density function commonly used to model various lossy processes in high-energy physics. It consists of a Gaussian core portion and a power-law low-end tail, below a certain threshold. The function itself and its first derivative are both continuous.
The Crystal Ball function is given by:
                    f        (        x        ;        α        ,        n        ,                                            x              ¯                                      ,        σ        )        =        N        ⋅                              {                                                            exp                                    (                  −                                                                                    (                        x                        −                                                                                                            x                              ¯                                                                                                                                )                                                      2                                                                                                                      2                                                  σ                                                      2                                                                                                                                )                  ,                                                                      for                                                                                                       x                        −                                                                                                            x                              ¯                                                                                                                          σ                                                        >                  −                  α                                                                              A                  ⋅                  (                  B                  −                                                                                    x                        −                                                                                                            x                              ¯                                                                                                                          σ                                                                            )                                          −                      n                                                        ,                                                                      for                                                                                                       x                        −                                                                                                            x                              ¯                                                                                                                          σ                                                        ⩽                  −                  α                                                                                        where
                    A        =                              (                                          n                                  |                  α                  |                                                      )                                n                          ⋅        exp                          (          −                                                                      |                  α                  |                                                  2                                            2                                )                        ,
                    B        =                              n                          |              α              |                                      −                  |          α          |                        ,
                    N        =                              1                          σ              (              C              +              D              )                                              ,
                    C        =                              n                          |              α              |                                      ⋅                              1                          n              −              1                                      ⋅        exp                          (          −                                                                      |                  α                  |                                                  2                                            2                                )                        ,
                    D        =                                            π              2                                                (          1          +          erf                                (                                                            |                  α                  |                                                  2                                                      )                    )                        .
                    N                 (Skwarnicki 1986) is a normalization factor and                     α                ,                     n                ,                                                         x              ¯                                               and                     σ                 are parameters which are fitted with the data. erf is the error function.