Work Package 3 - Data Analysis

Data Analysis is the focus of the 3rd Work Package. LIV.DAT’s approach to such analyses is dominated by the development of efficient numerical (i.e. MC-related) Bayesian inference techniques.

Bayesian inference techniques are a broad class of approaches that offer an ability to answer closed questions that complements Deep Learning’s ability to answer open questions.

The following projects are part of this Work Package.

project 1

Real time analysis for high bandwidth experiments

project 3

Non-destructive contamination depth profiling

project 4

Transient classification in the LSST data deluge

project 5

Galactic archaeology using the thick disk of the Milky Way

project 6

New heavy gauge boson searches at ATLAS and their phenomenological interpretation

project 7

Axion searches in rare Higgs decays at ATLAS

project 8

Search for dark photons decaying to muons or electrons in Higgs decays at ATLAS

project 9

Search for a Higgs Boson decaying to invisible particles with the ATLAS experiment

project 10

Constraints on Neutrino Charge-Parity (CP) Violation

project 11

The accretion history of the Milky Way Halo

project 12

Investigating Lepton Flavour

project 13

Machine-learning in Secondary Emission Monitor (SEM) optimisation

project 14

Shapes studies in neutron-rich cerium isotopes

project 15

A search for charged lepton

project 16

Supernova Neutrinos and Light Injection Calibration

Development of Liquid Argon TPC read-out technology
project 18

Sterile neutrino search at the Fermilab