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Measurement of the inelastic pp cross-section at a centre-of-mass energy of root s=7 TeV

Related publications (32)

Search for new physics using effective field theory in 13 TeV pp collision events that contain a top quark pair and a boosted Z or Higgs boson

Rakesh Chawla, Andrea Rizzi, Matthias Finger, Federica Legger, Matteo Galli, Sun Hee Kim, Jian Zhao, João Miguel das Neves Duarte, Tagir Aushev, Hua Zhang, Alexis Kalogeropoulos, Yixing Chen, Tian Cheng, Ioannis Papadopoulos, Gabriele Grosso, Valérie Scheurer, Meng Xiao, Qian Wang, Michele Bianco, Varun Sharma, Joao Varela, Sourav Sen, Ashish Sharma, Seungkyu Ha, David Vannerom, Csaba Hajdu, Sanjeev Kumar, Sebastiana Gianì, Kun Shi, Abhisek Datta, Miao Hu, Siyuan Wang, Muhammad Waqas, Anton Petrov, Jian Wang, Yi Zhang, Lei Zhang, Muhammad Ansar Iqbal, Yong Yang, Xin Sun, Muhammad Ahmad, Donghyun Kim, Matthias Wolf, Anna Mascellani, Paolo Ronchese, Muhammad Shoaib, Kai Yi, Ji Hyun Kim, Andromachi Tsirou, Georgios Anagnostou, Jan Steggemann, Konstantin Androsov, Ajay Kumar, Pratyush Das, Milos Dordevic, Werner Lustermann, Lukas Layer, Yiming Li, Ioannis Evangelou, Rajat Gupta, Xiao Wang, Davide Di Croce, Hui Wang, Xin Chen, Wei Li, Leonardo Cristella, Wei Shi, Zheng Wang, Ekaterina Kuznetsova, Jing Li, Tao Huang

A data sample containing top quark pairs (tt over bar ) produced in association with a Lorentz-boosted Z or Higgs boson is used to search for signs of new physics using effective field theory. The data correspond to an integrated luminosity of 138 fb-1 of ...

American Physical Society2023

On double-descent in uncertainty quantification in overparametrized models

Florent Gérard Krzakala, Lenka Zdeborová, Bruno Loureiro, Lucas Andry Clarte, Bruno Loureiro

Uncertainty quantification is a central challenge in reliable and trustworthy machine learning. Naive measures such as last-layer scores are well-known to yield overconfident estimates in the context of overparametrized neural networks. Several methods, ra ...

PMLR Proceedings of Machine Learning Research2023

Search for Higgs boson pairs decaying to WWWW, WW*ττ, and ττττ in proton-proton collisions at √s=13 TeV

Rakesh Chawla, Arvind Shah, Andrea Rizzi, Matthias Finger, Federica Legger, Sun Hee Kim, Jian Zhao, João Miguel das Neves Duarte, Tagir Aushev, Hua Zhang, Alexis Kalogeropoulos, Yixing Chen, Tian Cheng, Ioannis Papadopoulos, Gabriele Grosso, Valérie Scheurer, Meng Xiao, Maren Tabea Meinhard, Qian Wang, Michele Bianco, Varun Sharma, Jessica Prisciandaro, Joao Varela, Sourav Sen, Ashish Sharma, Seungkyu Ha, David Vannerom, Csaba Hajdu, Sanjeev Kumar, Sebastiana Gianì, Kun Shi, Abhisek Datta, Guido Andreassi, Miao Hu, Siyuan Wang, Muhammad Waqas, Anton Petrov, Jian Wang, Yi Zhang, Lei Zhang, Muhammad Ansar Iqbal, Yong Yang, Xin Sun, Muhammad Ahmad, Donghyun Kim, Matthias Wolf, Anna Mascellani, Paolo Ronchese, Matthias Weber, Muhammad Shoaib, Kai Yi, Ji Hyun Kim, Andromachi Tsirou, Georgios Anagnostou, Jan Steggemann, Konstantin Androsov, Ajay Kumar, Milos Dordevic, Werner Lustermann, Lukas Layer, Yiming Li, Ioannis Evangelou, Rajat Gupta, Xiao Wang, Davide Di Croce, Hui Wang, Xin Chen, Wei Li, Leonardo Cristella, Wei Shi, Zheng Wang, Ekaterina Kuznetsova, Jing Li, Tao Huang

The results of a search for Higgs boson pair (HH) production in the (WWWW*)-W-, WWtau tau, and tau tau tau tau decay modes are presented. The search uses 138 fb(-1) of proton-proton collision data recorded by the CMS experiment at the LHC at a center-of- ...

Springer Nature2023

Comparison of momentum transport in matched hydrogen and deuterium H-mode plasmas in ASDEX Upgrade

Basil Duval, Emiliano Fable, Giovanni Tardini

Advanced momentum transport analysis is used to study matched hydrogen (H) and deuterium (D) plasmas in the core of ASDEX Upgrade. The aim is to validate gyrokinetic theory and assess a possible isotope dependence. The methodology extracts momentum diffusi ...

IOP Publishing Ltd2023

Data-Driven Predictive Models: Calculational Bias in Characterization of Spent Nuclear Fuel

Characteristics of the spent nuclear fuel (SNF) are typically calculated, requiring validation a priori. The validation process relies on the difference between calculations and measurements, namely the bias. Usually, predicting the bias based on benchmark ...

EPFL2022

Learning new physics from an imperfect machine

Andrea Wulzer, Raffaele Tito D'Agnolo

We show how to deal with uncertainties on the Standard Model predictions in an agnostic new physics search strategy that exploits artificial neural networks. Our approach builds directly on the specific Maximum Likelihood ratio treatment of uncertainties a ...

SPRINGER2022

Measuring the effective thermal resistance of ventilated air-spaces behind common wall assemblies: Theoretical uncertainty analysis and recommendations for the hot box method modifications (ASHRAE 1759-RP)

Mohammad Rahiminejad, Dolaana Khovalyg

A well-designed ventilated wall that incorporates air-space behind cladding can reduce energy use for conditioning buildings by adding a thermally resistive layer. The scarcity of thermal performance data and standardized test methods is a particular barri ...

2022

High accuracy measurement of the prompt neutron decay constant in CROCUS using Gamma Noise and bootstrapped uncertainties

Pavel Frajtag, Andreas Pautz, Oskari Ville Pakari, Vincent Pierre Lamirand, Tom Mager

We experimentally demonstrate the advantages of gamma detection for noise measurements to deter-mine the prompt neutron decay constant a of a nuclear reactor using the power spectral density (PSD) method, coupled to a new uncertainty estimation scheme base ...

PERGAMON-ELSEVIER SCIENCE LTD2022

SmartSwim: A novel approach to swimming analysis and coaching assistance based on wearable inertial sensors

Mahdi Hamidi Rad

As one of the three most popular sports in the Summer Olympics, competitive swimming has always been an attractive subject of study for sports scientists. The intricate nature of the swimmer's movements and the variety of techniques have led coaches to req ...

EPFL2022

Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC

Rakesh Chawla, Arvind Shah, Andrea Rizzi, Matthias Finger, Bandeep Singh, Federica Legger, Bertrand François, Thomas Berger, Jian Zhao, João Miguel das Neves Duarte, Tagir Aushev, Hua Zhang, Quentin Python, Alexis Kalogeropoulos, Chao Wang, Yixing Chen, Tian Cheng, Ioannis Papadopoulos, Valérie Scheurer, Meng Xiao, Wei Sun, Maren Tabea Meinhard, Qian Wang, Michele Bianco, Doohyun Kim, Varun Sharma, Jessica Prisciandaro, Joao Varela, Francesco Fiori, Sourav Sen, Ashish Sharma, Seungkyu Ha, David Vannerom, Csaba Hajdu, Sanjeev Kumar, Sebastiana Gianì, Kun Shi, Abhisek Datta, Miao Hu, Siyuan Wang, Peter Hansen, Dipanwita Dutta, Anton Petrov, Jian Wang, Yi Zhang, Vladimir Petrov, Muhammad Ansar Iqbal, Viktor Khristenko, Yong Yang, Muhammad Ahmad, Donghyun Kim, Matthias Wolf, Benjamin William Allen, Paolo Ronchese, Matthias Weber, Muhammad Shoaib, Vineet Kumar, Kai Yi, Ji Hyun Kim, Andromachi Tsirou, Georgios Anagnostou, Jan Steggemann, Konstantin Androsov, Ajay Kumar, Pratyush Das, Milos Dordevic, Werner Lustermann, Ali Harb, Lukas Layer, Giorgia Rauco, Yiming Li, Ioannis Evangelou, Rajat Gupta, Xiao Wang, Davide Di Croce, Yi Wang, Hui Wang, Xin Chen, Wei Li, Leonardo Cristella, Wei Shi, Zheng Wang, Ekaterina Kuznetsova, Jing Li, Tao Huang

The performance is presented of the reconstruction and identification algorithms for electrons and photons with the CMS experiment at the LHC. The reported results are based on proton-proton collision data collected at a center-of-mass energy of 13 TeV and ...

2021

Measurement of the W gamma Production Cross Section in Proton-Proton Collisions at root s=13 TeV and Constraints on Effective Field Theory Coefficients

Rakesh Chawla, Arvind Shah, Andrea Rizzi, Matthias Finger, Bandeep Singh, Federica Legger, Bertrand François, Thomas Berger, Jian Zhao, João Miguel das Neves Duarte, Tagir Aushev, Hua Zhang, Alexis Kalogeropoulos, Chao Wang, Yixing Chen, Tian Cheng, Ioannis Papadopoulos, Valérie Scheurer, Meng Xiao, Wei Sun, Maren Tabea Meinhard, Qian Wang, Michele Bianco, Doohyun Kim, Varun Sharma, Jessica Prisciandaro, Joao Varela, Francesco Fiori, Sourav Sen, Ashish Sharma, Seungkyu Ha, David Vannerom, Csaba Hajdu, Sanjeev Kumar, Sebastiana Gianì, Kun Shi, Abhisek Datta, Miao Hu, Siyuan Wang, Peter Hansen, Muhammad Waqas, Dipanwita Dutta, Anton Petrov, Jian Wang, Yi Zhang, Vladimir Petrov, Muhammad Ansar Iqbal, Viktor Khristenko, Yong Yang, Muhammad Ahmad, Donghyun Kim, Matthias Wolf, Paolo Ronchese, Matthias Weber, Vineet Kumar, Kai Yi, Ji Hyun Kim, Andromachi Tsirou, Georgios Anagnostou, Jan Steggemann, Konstantin Androsov, Ajay Kumar, Pratyush Das, Milos Dordevic, Werner Lustermann, Ali Harb, Lukas Layer, Giorgia Rauco, Yiming Li, Ioannis Evangelou, Rajat Gupta, Xiao Wang, Davide Di Croce, Yi Wang, Hui Wang, Xin Chen, Wei Li, Leonardo Cristella, Wei Shi, Zheng Wang, Ekaterina Kuznetsova, Jing Li, Tao Huang

A fiducial cross section for W gamma production in proton-proton collisions is measured at a center-of-mass energy of 13 TeV in 137 fb(-1) of data collected using the CMS detector at the LHC. The W -> e nu and mu nu decay modes are used in a maximum-likeli ...

2021

Modelling the Intracellular Environment under Uncertainty, from Post-translational Modification to Metabolic Networks

Robin Alexander Denhardt-Eriksson

Modelling and analysis of biological systems is crucial in order to quantitatively explain and predict their behaviour. The importance of modelling in systems biology becomes even more evident when tackling complex, large systems. Approaches that rely on ...

EPFL2021