# UCL HEP Seminars 2018

01-06-2018 : Justin Evans (Manchester)

A combined view of sterile-neutrino constraints from CMB and neutrino-oscillation measurements.

I will present a comparative analysis of constraints on sterile neutrinos from the Planck experiment and from current and future neutrino-oscilllation experiments, as reported in S. Bridle et al., Phys. Lett. B764, 322 (2017). In this paper, we, for the first time, expressed joint constraints on N_eff and m_eff^sterile from the CMB in the Δm^2, sin^2(2θ) parameter space used by oscillation experiments, and expressed constraints from oscillation experiments in the N_eff, m_eff^sterile cosmology parameter space. We focused on oscillation experiments that probed mixing of the muon flavour into a fourth mass state: MINOS, IceCube, and the SBN programme. I will then present new work in which we have looked at mixing of the electron flavour to allow comparison of CMB constraints with limits from the reactor experiments NEOS and Daya Bay. Finally, we allow both the electron and muon flavours to simultaneously mix with a fourth mass state, and compare CMB constraints to the numubar->nuebar appearance signals from LSND and MiniBooNE.

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18-05-2018 : Anne Norrick (William&Mary)

Minerva DIS

TBC

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11-05-2018 : Jim Dobson (UCL)

TBC

TBC

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04-05-2018 : Giuliana Galati (Naples)

Final results of the OPERA experiment on tau neutrino appearance in the CNGS beam

The OPERA experiment (Oscillation Project with Emulsion tRacking Apparatus) was designed to conclusively prove the muon neutrino into tau neutrino oscillation in appearance mode. In this talk the improved and final analysis of the full data sample, collected between 2008 and 2012, will be shown. The new analysis is based on a multivariate approach for event identification, fully exploiting the expected features of tau neutrino events, rather than on the sheer selection of candidate events by independent cuts on topological or kinematical parameters as in previous analyses. It is performed on candidate events preselected with looser cuts than those applied in the previous cut-based approach. Looser cuts increase the number of tau neutrino candidates, thus leading to a measurement of the oscillation parameters and of the tau neutrino properties with a reduced statistical uncertainty. For the first time ever, Delta m^2_{23} has been measured in appearance mode, tau neutrino CC cross-section has been measured with a negligible contamination from τ antineutrinos and tau neutrino lepton number has been observed. Moreover, given the higher discrimination power of the multivariate analysis, the significance of the tau neutrino appearance is increased.

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27-04-2018 : Michela Massimi (Edinburgh)

Perspectival modeling at LHC

The goal of this paper is to address the philosophical problem of inconsistent models, and the challenge it poses for realism and perspectivism in philosophy of science. I analyse the argument, draw attention to some hidden premises behind it, and deflate them. Then I introduce the notion of “perspectival models” as a distinctive class of modeling practices, whose primary function is heuristic or exploratory. I illustrate perspectival modeling with two examples taken from contemporary high-energy physics at LHC, CERN (one from ATLAS concerning pMSSM-19 and one from the CMS experiment). These examples are designed to show how a plurality of seemingly incompatible models (once suitably understood) is in fact methodologically very important for scientific progress and for advancing knowledge in cutting-edge areas of scientific inquiry.

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13-04-2018 : Stephen West (RHUL)

Dark Matter models

I will start by reviewing a range of non-standard dark matter models including models employing asymmetric dark matter and freeze-in. I will then go on to outline models of Nuclear Dark Matter, where the dark matter states are composite objects consisting of dark nucleons”. I will outline some of the novel features of this idea and how the composite nature can lead to interesting signatures in direct detection experiments.

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06-04-2018 : Tuomas Rajala (UCL)

Detecting local scale interactions in highly multivariate point patterns

Highly multivariate point patterns, such as the location patterns of 300 different plant species in a rainforest, are the big data of point pattern statistics. One of the main data analysis goals is the detection of local scale interactions between different point types/species. This talk will discuss two approaches for detecting such interactions: A Monte Carlo framework based on pairwise non-parametric tests, and a multivariate Gibbs model technique relying on automatic variable selection.

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IceCube: a nu-window into the Universe

The IceCube Neutrino Observatory, a cubic-kilometer in-ice detector at the South Pole, offers a unique window into the smallest and largest scales of our universe. Over the past several years, IceCube has detected the first high-energy neutrinos of astrophysical origin, measured atmospheric neutrino oscillations, and performed searches of neutrino sources throughout the sky. As more data is collected, a reduction of systematic uncertainties becomes ever more important for neutrino astronomy and neutrino property measurements in IceCube. These two paths are connected as, at the highest energies, the angular resolution of events without an observable muon is limited primarily by ice-property uncertainties. To pave the road forward, in this talk I will explore improvements to event reconstruction and systematic treatment in the high-energy starting event (HESE) analysis. I will discuss a new high-energy cross-section measurement using the HESE sample and a novel calculation of the atmospheric neutrino background. I will conclude with an outlook for the future with IceCube-Gen2.

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16-03-2018 : Seth Zenz (Imperial)

Understanding the Higgs Boson: Where We Are, Where We're Going, and How To Get There

In 2012, the ATLAS and CMS experiments at the CERN Large Hadron Collider discovered a new particle. With analysis of data through 2016 now largely completed, we know more precisely than ever that this particle is highly consistent with the Standard Model (SM) Higgs boson. But is the SM realized exactly, or do some differences in the Higgs boson's properties provide a window into new physics? During the 2020's and 2030's, the High Luminosity LHC will supply a large enough dataset to answer this question with very precise and fine grained measurements. I will outline the current understanding of the Higgs boson, the plans for long-term studies at the LHC, and the measurements we can make now to build up our knowledge in the medium-term and prepare better for the long program ahead.

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09-03-2018 : Kate Pachal (SFU)

Searches for new low-mass resonances in jetty events at ATLAS

"Searches for beyond-standard-model particles in dijet invariant masses have been a been a key feature of physics programs across 30 years of collider experiments. As no new particles at high masses have yet been discovered, some analyses have moved from pushing this final state towards higher and higher scales in favour of searching for small cross section or small branching ratio signals at lower masses. This is ideal for searching for dark matter mediator candidates, where the dijet channel can be a powerful constraint. Low masses pose a serious challenge for searches in fully hadronic final states because of the trigger prescales which make dataset accumulation difficult in this regime. Two ways around this constraint have been explored in Run II: first, the analysis can be performed with minimal event information at the level of the trigger. This poses a lot of unique technical challenges because of the need for a custom jet calibration. Second, the analysis can search for dijet resonances produced in association with an object which can be used for triggering: a higher-pT jet or a photon. This seminar will discuss the most recent public results for both analysis methods."

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POSTPONED!!! 02-03-2018 : Kate Pachal (SFU)

POSTPONED!!! Searches for new low-mass resonances in jetty events at ATLAS

"Searches for beyond-standard-model particles in dijet invariant masses have been a been a key feature of physics programs across 30 years of collider experiments. As no new particles at high masses have yet been discovered, some analyses have moved from pushing this final state towards higher and higher scales in favour of searching for small cross section or small branching ratio signals at lower masses. This is ideal for searching for dark matter mediator candidates, where the dijet channel can be a powerful constraint. Low masses pose a serious challenge for searches in fully hadronic final states because of the trigger prescales which make dataset accumulation difficult in this regime. Two ways around this constraint have been explored in Run II: first, the analysis can be performed with minimal event information at the level of the trigger. This poses a lot of unique technical challenges because of the need for a custom jet calibration. Second, the analysis can search for dijet resonances produced in association with an object which can be used for triggering: a higher-pT jet or a photon. This seminar will discuss the most recent public results for both analysis methods."

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Precision physic at colliders: introducing reSolve, a transverse momentum resummation tool

Since the early days of the Large Hadron Collider (LHC), a large part of the experimental effort was focused on direct searches for signals of New Physics. It is however important (and increasingly so, given the absence of any direct detection so far) to also explore alternative strategies, and foremost among these is precision physics. Traditionally, hadron machines such as the LHC were not considered particularly well-suited to precision studies, but experimental collaborations at CERN have already provided us with excellent measurements which exceed our best theoretical predictions precision-wise, and can only be expected to get better as the LHC continues its run. It is crucial for the theoretical community to keep up with this trend, especially considering that most realistic, still viable, extensions of the Standard Model (SM) are compatible with only small deviations from SM predictions, at LHC energies, for arbitrary observables. The transverse momentum spectrum is a particularly interesting observable for the precision program: in general processes, a majority of events is produced at relatively soft transverse momentum scales, and the physical behaviour at these soft scales is an highly nontrival prediction of perturbative QCD (and thus of the SM) which requires a resummation of logarithmically-enhanced contributions to all orders in the strong coupling \alpha_s. In this talk, I will introduce the new tool reSolve, a Monte Carlo differential cross-section and parton-level event generator whose main new feature is to add transverse momentum resummation to a general class of inclusive processes at hadron colliders. reSolve uses the impact parameter formalism, which is particularly well-suited to general studies. During the talk I will briefly review transverse momentum resummation in general, the peculiarities of its implementation in reSolve, and conclude commenting some of the possible phenomenological applications and future developments.

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16-02-2018 : Nassim Bozorgnia (Durham)

The dark halo of Milky Way-like galaxies

One of the major sources of uncertainty in the interpretation of dark matter direct and indirect detection data is due to the unknown astrophysical distribution of dark matter in the halo of our Galaxy. Realistic numerical simulations of galaxy formation including baryons have recently become possible, and provide important information on the properties of the dark matter halo. I will discuss the dark matter density and velocity distribution of Milky Way-like galaxies obtained from high resolution hydrodynamical simulations. To make reliable predictions for direct and indirect detection searches, we identify simulated galaxies which satisfy the Milky Way observational constraints. Using the dark matter distribution extracted from the selected Milky Way-like galaxies, I will present an analysis of current direct detection data, and discuss the implications for the dark matter interpretation of the Fermi GeV excess.

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09-02-2018 : Stefan Guindon (CERN)

Recent ATLAS Results in the search for ttH production

The observation of the production of ttH is an important test of the top Yukawa coupling of the Higgs boson, and one of the main goals of Run-2 of the Large Hadron Collider. It remains one of the most important characteristics of the Higgs boson which has yet to be directly observed. Many models of new physics beyond the Standard Model predict significant deviations of this coupling, which would be directly observable via the measurement of ttH production. The new ATLAS searches for ttH associated production at centre-of-mass energies of 13 TeV will be presented. The search targets several Higgs boson decays, including final states with multiple b-quarks, multileptons, and two photons.

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02-02-2018 : Yiannis Andreopoulos (UCL)

Deep Learning from Compressed Spatio-Temporal Representations of Data

Deep learning has allowed for (and incentivised) researchers to look at data volumes and processing tasks that have previously only been hypothesized. While the first-generation of deep supervised learning achieved significant advances over shallow learning methods, it is increasingly becoming obvious that many approaches were naive in their design and we are only scratching the surface of what is possible. The notion of strong supervision (i.e., the use of labels during training) is impractical and easy to fool by adversarial examples and, perhaps most importantly, operating with uncompressed samples (e.g., input image pixels of video or audio) does not scale. For instance, data generated from visual sensing in Internet-of-Things (IoT) application contexts will occupy more than 82% of all IP traffic by 2021, with one million minutes of video crossing the network every second [Cisco VNI Report, Jun. 2017]. This fact, in conjunction with the rapidly-increasing video resolutions and video format inflation (from standard to super-high definition, 3D, multiview, etc.), makes the scale-up of deep learning towards big video datasets unsustainable. To address this issue, we propose to go beyond the pixel representations and design advanced deep learning architectures for classification and retrieval systems that directly ingest compressed spatio-temporal activity bitstreams produced by: (i) mainstream video coders and (ii) neuromorphic vision sensing cameras. By exploiting the compressed nature of our inputs, our approach can deliver 100-fold increase in processing speed with comparable classification or retrieval accuracy to state-of-the-art pixel-domain systems and has the potential to be extended to self-supervised deep learning. The talk will explain the key steps of our approach and can motivate researchers to think carefully about the sensing and supervision modalities of their problems prior to embarking on the use of deep learning tools for data analysis. Related paper: https://arxiv.org/abs/1710.05112

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26-01-2018 : Jonathan Davis (Kings)

CNO Neutrino Grand Prix: The race to solve the solar metallicity problem

Several next-generation experiments aim to make the first measurement of the neutrino flux from the Carbon-Nitrogen-Oxygen (CNO) solar fusion cycle. This will provide crucial new information for models of the Sun, which currently are not able to consistently explain both helioseismology data and the abundance of metal elements, such as carbon, in the solar photosphere. The solution to this solar metallicity problem may involve new models of solar diffusion or even the capture of light dark matter by the Sun. I look at how soon electronic-recoil experiments such as SNO+, Borexino and Argo will measure the CNO neutrino flux, and the challenges this involves. I also consider experiments looking for nuclear-recoils from CNO neutrinos, which requires sensitivity to very low energies, and discuss how the same technology is also key to direct searches for sub-GeV mass dark matter.

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19-01-2018 : Chris Backhouse (UCL)

New results from NOvA

The phenomenon of neutrino oscillations, which implies that neutrinos are not massless as we had previously believed, raises a wealth of new and intriguing questions. What is the ordering of the neutrino mass states? Might neutrino oscillations violate matter/antimatter symmetry? What structure, if any, does the neutrino mixing matrix have? The NOvA experiment directly addresses these questions by measuring the changes undergone by a powerful neutrino beam over an 810 km baseline, from its source at Fermilab, Illinois to a huge 14 kton detector in Ash River, Minnesota. I will give a brief overview of neutrino oscillations, then present updated NOvA measurements of the disappearance of muon neutrinos and their transformation into electron neutrinos, the implications of these results, and prospects for the future.

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