Phylogenetic tree representation in n-dimensional space

Traditional phylogenetic trees are represented as bifurcating trees, where the leaf nodes represent taxa and the internal nodes represent common ancestors. Bifurcating trees offer advantages of interpreting common ancestors as well as being widely accepted; however, this representation could lim...

By Cole Lyman

When to worry about negative weights in MVA training for HEP analysis

A discussion at DS@LHC2015 concerned the treatment of negative weights in MVA training. This is relevant for HEP since the advent of MC generators at NLO in QCD, as [the matching of Matrix-Element to Parton-Shower generators](http://dx.doi.org/10.1088/1126-6708/2002/06/029) assigns negative weig...

By Andrea Giammanco

Algorithms learning for large scale facilities

A large scale facility can be described as an object producing, as an output, datasets `D_i`, that scientists analyse to obtain results `R_i`. The ideal data analysis trajectory for an experiment is thus `D_i-->R-i-->P_i`, where `P_i` denotes the desired output: a publication. Most of the tim...

By Alberto Cereser