In
physics
Physics is the natural science that studies matter, its fundamental constituents, its motion and behavior through space and time, and the related entities of energy and force. "Physical science is that department of knowledge which r ...
, the ARGUS distribution, named after the
particle physics
Particle physics or high energy physics is the study of fundamental particles and forces that constitute matter and radiation. The fundamental particles in the universe are classified in the Standard Model as fermions (matter particles) an ...
experiment
ARGUS, is the
probability distribution
In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of different possible outcomes for an experiment. It is a mathematical description of a random phenomenon i ...
of the reconstructed
invariant mass
The invariant mass, rest mass, intrinsic mass, proper mass, or in the case of bound systems simply mass, is the portion of the total mass of an object or system of objects that is independent of the overall motion of the system. More precisely, ...
of a decayed particle candidate in continuum background.
Definition
The
probability density function
In probability theory, a probability density function (PDF), or density of a continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can ...
(pdf) of the ARGUS distribution is:
:
for
. Here
and
are parameters of the distribution and
:
where
and
are the
cumulative distribution
In statistics, the frequency (or absolute frequency) of an event i is the number n_i of times the observation has occurred/recorded in an experiment or study. These frequencies are often depicted graphically or in tabular form.
Types
The cumul ...
and
probability density function
In probability theory, a probability density function (PDF), or density of a continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can ...
s of the
standard normal distribution, respectively.
Cumulative distribution function
The
cumulative distribution function
In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable X, or just distribution function of X, evaluated at x, is the probability that X will take a value less than or equal to x.
Ev ...
(cdf) of the ARGUS distribution is
:
.
Parameter estimation
Parameter ''c'' is assumed to be known (the kinematic limit of the invariant mass distribution), whereas ''χ'' can be estimated from the sample ''X''
1, …, ''X''
''n'' using the
maximum likelihood
In statistics, maximum likelihood estimation (MLE) is a method of estimation theory, estimating the Statistical parameter, parameters of an assumed probability distribution, given some observed data. This is achieved by Mathematical optimization, ...
approach. The estimator is a function of sample second moment, and is given as a solution to the non-linear equation
:
.
The solution exists and is unique, provided that the right-hand side is greater than 0.4; the resulting estimator
is
consistent
In classical deductive logic, a consistent theory is one that does not lead to a logical contradiction. The lack of contradiction can be defined in either semantic or syntactic terms. The semantic definition states that a theory is consistent i ...
and
asymptotically normal.
Generalized ARGUS distribution
Sometimes a more general form is used to describe a more peaking-like distribution:
:
:
where Γ(·) is the
gamma function
In mathematics, the gamma function (represented by , the capital letter gamma from the Greek alphabet) is one commonly used extension of the factorial function to complex numbers. The gamma function is defined for all complex numbers except ...
, and Γ(·,·) is the
upper incomplete gamma function
In mathematics, the upper and lower incomplete gamma functions are types of special functions which arise as solutions to various mathematical problems such as certain integrals.
Their respective names stem from their integral definitions, which ...
.
Here parameters ''c'', χ, ''p'' represent the cutoff, curvature, and power respectively.
The mode is:
:
The mean is:
:
where M(·,·,·) is the
Kummer's confluent hypergeometric function.
Confluent hypergeometric function
In mathematics, a confluent hypergeometric function is a solution of a confluent hypergeometric equation, which is a degenerate form of a hypergeometric differential equation where two of the three regular singularities merge into an irregular ...
The variance is:
:
''p'' = 0.5 gives a regular ARGUS, listed above.
References
Further reading
*
*
*
{{ProbDistributions, continuous-bounded
Experimental particle physics
Continuous distributions