Energy and Angular Measures

The appropriate notions of energy and angle depend on the collider context. Typically, one wants to work with observables that respect the appropriate Lorentz subgroup for the collision type of interest. EnergyFlow is capable of handling two broad classes of measures: $e^+e^-$ and hadronic, which are selected using the required measure argument. For substructure applications, it is often convenient to normalize the energies so that $\sum_iz_i=1$. The normed keyword argument is provided to control normalization of the energies (default is True). Measures also deal with converting between different representations of particle momenta, e.g. Cartesian [E,px,py,pz] or hadronic [pt,y,phi,m].

Each measure comes with a parameter $\beta>0$ which controls the relative weighting between smaller and larger anglular structures. This can be set using the beta keyword argument (default is 1). when using an EFM measure, beta is ignored as EFMs require $\beta=2$. There is also a $\kappa$ parameter to control the relative weighting between soft and hard energies. This can be set using the kappa keyword argument (default is 1). Only kappa=1 yields collinear-safe observables.

Prior to version 1.1.0, the interaction of the kappa and normed options resulted in potentially unexpected behavior. As of version 1.1.0, the flag kappa_normed_behavior has been added to give the user explicit control over the behavior when normed=True and kappa≠1. See the description of this option below for more detailed information.

The usage of EFMs throughout the EnergyFlow package is also controlled through the Measure interface. There are special measure, 'hadrefm' and 'eeefm' that are used to deploy EFMs.

Beyond the measures implemented here, the user can implement their own custom measure by passing in ${z_i}$ and ${\theta_{ij}}$ directly to the EFP classes. Custom EFM measures can be implemented by passing in ${z_i}$ and ${\hat n_i}$.

Hadronic Measures

For hadronic collisions, observables are typically desired to be invariant under boosts along the beam direction and rotations about the beam direction. Thus, particle transverse momentum $p_T$ and rapidity-azimuth coordinates $(y,\phi)$ are used.

There are two hadronic measures implemented in EnergyFlow that work for any $\beta$: 'hadr' and 'hadrdot'. These are listed explicitly below.



The hadronic EFM measure is 'hadrefm', which is equivalent to 'hadrdot' with $\beta=2$ when used to compute EFPs, but works with the EFM-based implementation.

e+e- Measures

For $e^+e^-$ collisions, observables are typically desired to be invariant under the full group of rotations about the interaction point. Since the center of momentum energy is known, the particle energy $E$ is typically used. For the angular measure, pairwise Lorentz contractions of the normalized particle four-momenta are used.

There is one $e^+e^-$ measure implemented that works for any $\beta$.


The $e^+e^-$ EFM measure is 'eeefm', which is equivalent to 'ee' with $\beta=2$ when used to compute EFPs, but works with the EFM-based implementation.


Class for handling measure options, described above.

energyflow.Measure(measure, beta=1, kappa=1, normed=True, coords=None, check_input=True, kappa_normed_behavior='new')

Processes inputs according to the measure choice and other options.


  • measure : string
    • The string specifying the energy and angular measures to use.
  • beta : float
    • The angular weighting exponent $\beta$. Must be positive.
  • kappa : {float, 'pf'}
    • If a number, the energy weighting exponent $\kappa$. If 'pf', use $\kappa=v$ where $v$ is the valency of the vertex. 'pf' cannot be used with measure 'hadr'. Only IRC-safe for kappa=1.
  • normed : bool
    • Whether or not to use normalized energies/transverse momenta.
  • coords : {'ptyphim', 'epxpypz', None}
    • Controls which coordinates are assumed for the input. If 'ptyphim', the fourth column (the masses) is optional and massless particles are assumed if it is not present. If None, coords with be 'ptyphim' if using a hadronic measure and 'epxpypz' if using the e+e- measure.
  • check_input : bool
    • Whether to check the type of input each time or assume the first input type.
  • kappa_normed_behavior : {'new', 'orig'}
    • Determines how 'kappa'≠1 interacts with normalization of the energies. A value of 'new' will ensure that z is truly the energy fraction of a particle, so that $z_i=E_i^\kappa/\left( \sum_{i=1}^ME_i\right)^\kappa$. A value of 'orig' will keep the behavior prior to version 1.1.0, which used $z_i=E_i^\kappa/ \sum_{i=1}^M E_i^\kappa$.



Evaluate the measure on a set of particles. Returns zs, thetas if using a non-EFM measure and zs, nhats otherwise.


  • arg : 2-d numpy.ndarray
    • A two-dimensional array of the particles with each row being a particle and the columns specified by the coords attribute.


  • ( 1-d numpy.ndarray, 2-d numpy.ndarray)
    • If using a non-EFM measure, (zs, thetas) where zs is a vector of the energy fractions for each particle and thetas is the distance matrix between the particles. If using an EFM measure, (zs, nhats) where zs is the same and nhats is the [E,px,py,pz] of each particle divided by its energy (if in an $e^+e^-$ context) or transverse momentum (if in a hadronic context.)