XIIIth Quark Confinement and the Hadron Spectrum

Session

Statistical Methods for Physics Analysis in the XXI Century

Parallel H

1 Aug 2018, 14:00

Hall C (Arts Bldg.)

Conveners

Statistical Methods for Physics Analysis in the XXI Century: H1a

• Tommaso Dorigo (Universita e INFN, Padova (IT))

Statistical Methods for Physics Analysis in the XXI Century: H1b

• Tommaso Dorigo (Universita e INFN, Padova (IT))

Statistical Methods for Physics Analysis in the XXI Century: H2a

• Tommaso Dorigo (Universita e INFN, Padova (IT))

Statistical Methods for Physics Analysis in the XXI Century: H2b

• Sergei Gleyzer (University of Florida (US))

Statistical Methods for Physics Analysis in the XXI Century: H3a

• Sergei Gleyzer (University of Florida (US))

Statistical Methods for Physics Analysis in the XXI Century: H3b

• Sergei Gleyzer (University of Florida (US))

327. Introduction and Goals of The Session

Tommaso Dorigo (Universita e INFN, Padova (IT))

01/08/2018, 14:00

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Statistics plays a crucial role in the extraction of information from physics measurements, and its scope has been steadily increasing in the XXI century, pushed in particular by development of machine learning tools. In this talk will be given an introduction of the status of statistics practice, relying on the driving example of HEP, and a look at the goals for the three days of talks,...

113. Bayesian unfolding of charged particle $p_{\mathrm{T}} $ spectra with ALICE at the LHC

Mario Kruger (Johann-Wolfgang-Goethe Univ. (DE))

01/08/2018, 14:20

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

The study of the Quark-Gluon Plasma created in ultrarelativistic heavy-ion collisions at the CERN-LHC is complemented by reference measurements in proton-lead (p--Pb) and proton-proton (pp) collisions, where the effects of multiple-parton interactions and hadronization beyond independent string fragmentation can be investigated.
In this talk, we present a Bayesian unfolding procedure to...

103. Pseudosignificances as figures of merit: a systematic study and Bayesian solutions

Dr Pietro Vischia (Universidad de Oviedo (ES))

01/08/2018, 14:40

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Optimization problems in HEP often involve maximizing a measure of how sensitive is a given analysis to an hypothesis with respect to another hypothesis; the latter is referred to as "null" hypothesis and in a frequentist framework is tested against the former, which is referred to as "alternative" hypothesis.

In most cases, it is desirable to fully compute the expected frequentist...

249. The Bayesian Interpretation of Deep Neural Networks: What Is It Good For?

Prof. Harrison Prosper (Florida State University)

01/08/2018, 15:10

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

Much effort has been expended in deconstructing deep neural networks, that is, in trying to understand their internal representations of data. For example, understanding what convolutional neural networks are doing layer by layer has been the focus of much research. I argue that this effort is largely misplaced. Of far greater importance, in my view, is understanding what these functions...

243. Statistics and data analysis for neutrino experiments

Luca Stanco (Universita e INFN, Padova (IT))

01/08/2018, 16:00

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

Experiments on neutrinos are very challenging due to the usual collection of very low number of events, the huge and sometime unknown systematics, and the sparse experimental techniques with the corresponding critical assembling of the measurements. All these characteristics point to the necessity of robust, controlled and well established data analyses. Unfortunately, the neutrino community...

267. New Machine Learning Tools in ROOT/TMVA

Dr Lorenzo Moneta (CERN)

01/08/2018, 16:30

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

In this talk, we will describe the latest additions to the Toolkit for Multivariate Analysis (TMVA), the machine learning package integrated into the ROOT framework. In particular, we will focus on the new deep learning module that contains robust fully-connected, convolutional and recurrent deep neural networks implemented on CPU and GPU architectures. We will present performance of these new...

220. Determination of the quark-gluon string parameters from the data on pp, pA and AA collisions at wide energy range using Bayesian Gaussian Process Optimization

Dr Vladimir Kovalenko (St Petersburg State University)

01/08/2018, 17:00

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Bayesian Gaussian Process Optimization [1,2,3] can be considered as a method of the determination of the model parameters, based on the experimental data. In the range of soft QCD physics, the processes of hadron and nuclear interactions require using phenomenological models containing many parameters. In order to minimize the computation time, the model predictions can be parameterized using...

325. Continuous signal modelling in a multidimensional space of coupling parameters

Lydia Brenner (Deutsches Elektronen-Synchrotron (DE))

01/08/2018, 17:20

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

The plans for the second Run of the LHC changes the focus in the Higgs sector from searches to precision measurements. Effective Lagrangians can be used for parameterisation. A signal morphing method is developed to take all parameters into account simultaneously and model interference effects. It provides a continues description of arbitrary physical signal observables such as cross sections...

25. Managing Many Simultaneous Systematic Uncertainties

Luca Lista (INFN Sezione di Napoli)

02/08/2018, 14:00

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Recent statistical evaluation for High-Energy Physics measurements, in particular those at the Large Hadron Collider, require careful evaluation of many sources of systematic uncertainties at the same time. While the fundamental aspects of the statistical treatment are now consolidated, both using a frequentist or a Bayesian approach, the management of many sources of uncertainties and their...

47. Confidence intervals for linear combinations of Poisson observations

Prof. Matorras Francisco (Instituto de Fisica de Cantabria, Spain)

02/08/2018, 14:30

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Different situations appearing in HEP involve the calculation of CI for linear combinations of observations that follow a Poisson distribution. Although apparently a simple problem, no precise methods exist unless asymptotic approximations can be assumed. We propose different alternatives beyond the error propagation of Gaussian errors and estimate their performance in some common examples.

236. Machine learning for hypothesis testing in HEP

Markus Stoye (Imperial College (GB))

02/08/2018, 15:00

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

First I will review significant performance gains that were reached for ongoing experiments by applying deep learning techniques classification tasks in jet physics. I will also review how to extend such methods to for cases where we do not have unique labels, but where the labels in simulation themselves are already a production of a random process of simulation. Finally, if times allow I...

65. Neural networks and machine learning tools for global PDF analyses

Juan Rojo (VU Amsterdam and Nikhef)

02/08/2018, 15:30

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

The precision determination of the parton distribution functions (PDFs) of the proton is a central component for the precision phenomenology program at the Large Hadron Collider (LHC). Pinning down the quark and gluon structure of the proton strengthens a number of LHC cornerstone measurements such as the characterisation of the Higgs sector and searches for high-mass bSM resonances. In this...

221. Using Machine Learning methods for improving data quality in the ALICE experiment

Lukasz Kamil Graczykowski (Warsaw University of Technology (PL))

02/08/2018, 16:20

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Data Quality plays an important role in many high-energy physics experiments, e.g. the ALICE experiment at the Large Hadron Collider (LHC), CERN. Currently used methods for quality assurance problems such as quality label assignment or particle identification, rely heavily on human expert judgments and complex computations. Those tasks, however, can be easily addressed by modern machine...

251. Recent developments in deep-leaning applied to open physics data

Giles Chatham Strong (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part)

02/08/2018, 16:40

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

A lot of work done in advancing the performance of deep-learning approaches often takes place in the realms of image recognition - many papers use famous benchmark datasets, such as Cifar or Imagenet, to quantify the advantages their idea offers. However it is not always obvious, when reading such papers, whether the concepts presented can also be applied to problems in other domains and still...

72. Model independent searches for new physics via parametric anomaly detection

Mr Grzegorz Kotkowski (University of Padova)

02/08/2018, 17:00

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

The Standard Model is currently the most widely accepted physical theory that classifies all known elementary particles and represents three out of the four fundamental forces in the universe. Despite the confirmation of the model, there is a need for its generalization or for the development of a new theory, able to complete our knowledge of the Universe. For this purpose, High Energy...

131. Unfolding: Point Estimation, Uncertainty Quantification and Future Directions

Dr Mikael Kuusela (Statistical and Applied Mathematical Sciences Institute (US), University of North Carolina at Chapel Hill (US), Helsinki Institute of Physics (FI), Carnegie Mellon University (US))

02/08/2018, 17:20

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Differential cross section measurement in experimental particle physics are smeared by the finite resolution of particle detectors. Using the smeared observations to infer the true particle-level spectrum is an ill-posed inverse problem, which is typically referred to as unfolding or unsmearing. In this talk, I will first give an overview of the statistical techniques that are currently used...

73. Big Data Software in High Energy Physics

Jim Pivarski (Princeton University)

02/08/2018, 17:50

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

For decades, high-energy physics (HEP) had been on the forefront of big data technology, developing techniques to explore and analyze datasets too large for memory that were revolutionary when they appeared in other fields years later. Today, that dominance is ending, and I argue that it's a good thing. The rise of web-scale datasets and high-frequency trading has interested the commercial...

261. Networked data-science for research, academic communities and beyond

Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))

03/08/2018, 14:00

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

In this talk, I will focus on an exceptional way of doing data-driven research employing networked community. Many examples of collaboration with the data-science community within competitions organised on Kaggle or Coda Lab platforms usually get limited by restrictions on those platforms. Common metrics do not necessarily correspond to the goal of the original research. Constraints imposed...

43. Direct Learning of Systematics-Aware Summary Statistics

Pablo De Castro Manzano (Universita e INFN, Padova (IT))

03/08/2018, 14:30

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Complex machine learning tools, such as deep neural networks and gradient boosting algorithms, are increasingly being used to construct powerful discriminative features for High Energy Physics analyses. These methods are typically trained with simulated or auxiliary data samples by optimising some classification or regression surrogate objective. The learned feature representations are then...

216. Fisher information metrics for binary classifier evaluation and training

Andrea Valassi (CERN)

03/08/2018, 15:00

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Different evaluation metrics for binary classifiers are appropriate to different scientific domains and even to different problems within the same domain. This presentation discusses the evaluation of binary classifiers in experimental high-energy physics, and in particular those used for the discrimination of signal and background events. In the introductory part of the talk, the general...

344. 20+ Years of CL_s

Alexander Lincoln Read (University of Oslo (NO))

03/08/2018, 16:00

Talk

74. Statistics in Particle Physics: Ideals vs Reality

Matthias Ulrich Mozer (KIT - Karlsruhe Institute of Technology (DE))

03/08/2018, 16:30

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

The presentation will provide insight into the treatment of statistical problems by particle physicists, which is commonly driven by practical considerations much more than mathematical reasoning. Common pitfalls and their origin will be discussed using real life (but anonymized) examples, touching on topics such as unfolding and limit setting.

41. Estimation of global statistical significance of a new signal within the GooFit framework on GPUs

Mr Adriano Di Florio (Universita e INFN, Bari (IT))

03/08/2018, 17:00

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

GPUs represent one of the most sophisticated and versatile parallel
computing architectures that have recently entered in the HEP field.
GooFit is an open source tool interfacing ROOT/RooFit to the CUDA
platform that allows to manipulate probability density functions and
perform fitting tasks. The computing capabilities of GPUs with
respect to traditional CPU cores have been explored with...

328. Summary and closing of section H

Dr Sergei Gleyzer (University of Florida (US))

03/08/2018, 17:20

H. Statistical Methods for Physics Analysis in the XXI Century

Talk

Summary Section H

343. 20+ years of CLs

Alexander Lincoln Read (University of Oslo (NO))

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

I recall the basic properties and history of CLs, a method or procedure to derive robust upper limits in searches for new phenomena that was developed in preparation for Higgs boson searches at LEP200 in the 1990’s.

232. Convolutional Neural Network for Track Seed Filtering at the CMS HLT

Mr Adriano Di Florio (Universita e INFN, Bari (IT))

H. Statistical Methods for Physics Analysis in the XXI Century

Invited talk

Starting from 2020, future development projects for the Large Hadron Collider will constantly bring nominal luminosity increase, with the ultimate goal of reaching a peak luminosity of $5 · 10^{34} cm^{−2} s^{−1}$ for ATLAS and CMS experiments planned for the High Luminosity LHC (HL-LHC) upgrade. This rise in luminosity will directly result in an increased number of simultaneous proton...