Tweets by C_Andreopoulos

Neutrino experiment exploitation

I am centrally involved in preparations for the physics exploitation of the Fermilab Short-Baseline Neutrino (SBN) Programme, in particular in the SBN Near Detector (SBND). This is a leading experimental programme with the sensitivity to perform a definitive 5σ test of the light-sterile neutrino hypothesis associated with several long-standing experimental anomalies. Its superb sensitivity is enabled by the Liquid Argon Time Projection Chamber (LArTPC) technology and the use of 2 detectors at different baselines: SBND (112-t active mass) 110 m away from the neutrino beam target, and ICARUS (476-t) 600 m away.
I serve as a member of the SBND Executive Committee (2020-present), SBND Physics co-Coordinator (2017-present), and as Systematics & Oscillation Sensitivity WG co-Coordinator (2018-present) for the overall SBN programme. I lead the development of a simultaneous sterile neutrino oscillation and systematics constraint fit for SBN, as well as preparations for SBND neutrino cross-section measurements of unprecedented precision. I also have a keen interest on Machine Learning, and my group prototypes novel Deep Learning methods for LArTPC neutrino event reconstruction.

I am a member of the T2K experiment in Japan where, over the past decade, I performed electron (anti-)neutrino appearance searches and precision measurements of muon (anti-)neutrino disappearance, and produced the first direct evidence for neutrino CP violation.
I am founder and coordinator of the VALOR fitting group which, from 2010 to present, has produced over 20 reviewed oscillation physics analyses and it has contributed to 12 published T2K papers, culminating in the 2020 Nature paper. Details of the T2K outputs of the VALOR group (codes, technical notes, papers) can be found here.

Neutrino interaction phenomenology

I am a co-spokesperson of the international GENIE collaboration, and one of the main authors of the GENIE project providing a well known neutrino-nucleus event generator, associated charged lepton-nucleus and hadron-nucleus event generators, several BSM event generators, large curated archives of relevant neutrino, electron and hadron scattering data and corresponding data/MC comparison tools, as well as a global analysis of neutrino scattering data informing GENIE tunes. GENIE performs crucial phemomenology research in the boundary between nuclear and particle physics, and it provides a bridge between theory and measurement. As such, it plays a crucial role throughout the lifecycle of every experiment.
I also serve as the Systematics & Tuning WG Coordinator and my effort is focussed on further developments of the leading GENIE global analysis of neutrino scattering data and the production of improved physics tunes. A particular focal area is a global meta-analysis of all SBN measurements of neutrino interaction characteristics, aiming to produce an Argon tune for the early DUNE physics exploitation programme.

Data analysis software

I am one of the founders, main authors and coordinator of the VALOR fitting group. The group plays a central role both in the physics exploitation and design optimisation several experiments, both by maintaining and developing the VALOR Software Development Kit (SDK), and by implementing and performing numerous trusted data analyses and sensitivity studies on top of that SDK.


My group collaborates with GMV Innovating Solutions, a large technology company headquartered in Spain with a UK subsidiary in the Harwell Oxford campus near RAL, on a preliminary exploration of the innovative and disrupting technological concept of Positioning, Navigation and Timing (PNT) applications based on neutrinos. This work is aimed at applications where the Global Navigation Satellite System (GNSS) can not work, such as i) submarine navigation, ii) navigation in the Earth poles, where no GNSS satellites are in view, iii) indoor positioning for big machines, for example for tunnels construction, or iv) mining applications. This work is funded by the European Space Agency (ESA).

My group investigates the application of Deep Learning techniques developed for the reconstruction and classification of neutrino interactions in Liquid Argon Time Projection Chamber (LArTPC) detectors, for the analysis of medical images.

Future neutrino experiments

I am a member of the DUNE experiment in US, and maintain an interest in R&D and preparations for the physics exploitation. In the past, I served as DUNE-UK Physics WP Coordinator (2014-2019) and DUNE Near Detector Evaluation WG Coordinator (2015-2017) participating in early Near Detector design efforts (NDTF), leading analyses for the derivation of physics-driven requirements for the experiment optimization and advanced analyses for the evaluation of different design options. With the VALOR group, I delivered the first-ever oscillation sensitivity calculations from an end-to-end analysis.

Past neutrino experiments:

MINOS Experiment
DONUT Experiment
COSMOS Experiment