Does it handle different coordinate systems?

Absolutely. It supports standard naming conventions like pt/eta/phi/mass or px/py/pz/E and helps Claude infer the correct coordinate system automatically.

Why is behavior registration necessary?

Vector behaviors must be registered in Awkward Array to allow arrays to 'act' like vector objects, enabling methods like .pt or .deltaR() directly on the array.

Can this skill help with 4-vector boosts?

Yes, it provides implementation patterns for boosting particles into the rest frame of a parent particle using Momentum4D records.

Which Python libraries does this skill support?

This skill is specifically designed for the 'vector' and 'awkward' libraries, which are core components of the Scikit-HEP ecosystem.

Vector Awkward HEP Analysis

Name: Vector Awkward HEP Analysis
Author: gordonwatts

bygordonwatts

0•

Ciencia de Datos y ML

Simplifies High Energy Physics analysis by integrating Python vector libraries with Awkward Arrays for efficient kinematic calculations.

The Vector Awkward skill empowers Claude to work seamlessly with Scikit-HEP tools, specifically focusing on the integration between the 'vector' library and 'Awkward Array'. It provides specialized guidance for registering vector behaviors, building 3D and 4D momentum records, and performing complex High Energy Physics (HEP) operations such as deltaR calculations, invariant mass computations, and Lorentz boosts. This skill is indispensable for physicists and data scientists who need to perform high-performance kinematic math on non-rectilinear data structures without writing manual boilerplate code.

Características Principales

01Provides optimized patterns for deltaR and invariant mass calculations

02Automates vector behavior registration for Awkward Array sessions

03Supports complex operations like Lorentz boosts to parent rest frames

040 GitHub stars

05Simplifies building Momentum3D and Momentum4D records with ak.zip

06Enables automatic coordinate system inference from standard field names

Casos de Uso

01Reconstructing parent particle masses from decay products using 4-vector addition

02Calculating spatial separation (deltaR) between particle collections in collider datasets

03Transforming particle vectors into different rest frames for advanced kinematic study

Características Principales

01Provides optimized patterns for deltaR and invariant mass calculations

02Automates vector behavior registration for Awkward Array sessions

03Supports complex operations like Lorentz boosts to parent rest frames

040 GitHub stars

05Simplifies building Momentum3D and Momentum4D records with ak.zip

06Enables automatic coordinate system inference from standard field names

Casos de Uso

01Reconstructing parent particle masses from decay products using 4-vector addition

02Calculating spatial separation (deltaR) between particle collections in collider datasets

03Transforming particle vectors into different rest frames for advanced kinematic study