Struct Mandelstam

pub struct Mandelstam { /* private fields */ }

A struct used to calculate Mandelstam variables ($s$, $t$, or $u$).

By convention, the metric is chosen to be $(+---)$ and the variables are defined as follows (ignoring factors of $c$):

$s = (p_1 + p_2)^2 = (p_3 + p_4)^2$

$t = (p_1 - p_3)^2 = (p_4 - p_2)^2$

$u = (p_1 - p_4)^2 = (p_3 - p_2)^2$

Implementations

impl Mandelstam

pub fn new<T, U, V, W>( p1: T, p2: U, p3: V, p4: W, channel: Channel, ) -> Result<Self, LadduError>

where T: AsRef<[usize]>, U: AsRef<[usize]>, V: AsRef<[usize]>, W: AsRef<[usize]>,

Constructs the Mandelstam variable for the given channel and particles. Fields which can take lists of more than one index will add the relevant four-momenta to make a new particle from the constituents.

Trait Implementations

impl Clone for Mandelstam

fn clone(&self) -> Mandelstam

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Mandelstam

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Mandelstam

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for Mandelstam

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Serialize for Mandelstam

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Variable for Mandelstam

fn value(&self, event: &Event) -> Float

This method takes an Event and extracts a single value (like the mass of a particle).

fn value_on_local(&self, dataset: &Arc<Dataset>) -> Vec<Float>

This method distributes the Variable::value method over each Event in a Dataset (non-MPI version).

fn value_on(&self, dataset: &Arc<Dataset>) -> Vec<Float>

This method distributes the Variable::value method over each Event in a Dataset.