To infer the k-NN, we used annoy, which implements an approximate nearest neighbor search algorithm. To calculate t-distributed stochastic neighbor embeddings (tSNEs), which we only used for visualization, we used the Rtsne package on data normalized with the shifted logarithm with a pseudo-...
We present the basic SCEPTRE algorithm in Algorithm 1. Several key accelerations speed Algorithm 1 by multiple orders of magnitude. Algorithm 1: Basic SCEPTRE algorithm Acceleration 1: Score test First, we use a GLM score test to compute the test statistics zorig , z1, . . . , ...
The input constituents for jet recon- struction are built by combining topological clusters of energy in the calorimeter [42] with measured tracks in the inner detector using the particle-flow algorithm [43]. The recon- structed jets are then calibrated to the particle level by t√he ...
Jets originating from long-lived b-hadrons are identified using the DL1r algorithm [36], a multivariate discriminant based on deep-learning techniques using information from track impact parameters and reconstructed secondary vertices. A working point with 60% efficiency for tagging b-quark jets from...
Alternatively, the user can implement an algorithm for EEPROM emulation, which uses the D-Flash bank like a circular stack memory; the latest data updates are always programmed on top of the actual region. When the top of the sector is reached, all actual data (representing the EEPROM data)...
The MMA8451, 2, 3Q does have a directional tap algorithm internally but by using the 32 sample FIFO and the embedded single tap detection the directional information can be extracted for a more flexible algorithm. 7.1 Sampling Rate Requirements for Tap Signatures In order to detect the full ...
The charged PF candidates associated with the PV and the neutral PF candidates are clustered into jets using the anti-kT algorithm [67] with distance parameter R = 0.4, as implemented in the fastjet package [68]. The estimated pileup contribution to the jet pT from neutral PF candidates is...
A neural-network-based algorithm is used, which combines three different algorithms exploiting the properties of a b-hadron decay in a jet [60]. The chosen working point corresponds to a b-tagging efficiency of 50 %, when cutting on the discriminant, and a c-quark jet and light-parton ...
Below is the MATLAB script using the fixed-point toolbox that tests the PLL algorithm with varying grid condition. clear all; close all; clc; % define the math type being used on the controller using objects from the % fixed-point tool box in matlab %Select numeric type, let's choose ...
This implies that the entire algorithm controlling the motor can be executed rapidly, enabling higher dynamic performance. In addition to the decoupling, a dynamic model of the motor is now used for the computa