Michael Thompson McCann

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Search for a dimuon resonance in the Upsilon mass region

Olivier Schneider, Guido Haefeli, Yiming Li, Christoph Frei, Aurelio Bay, Tatsuya Nakada, Michel De Cian, Luca Pescatore, Frédéric Blanc, François Fleuret

A search is performed for a spin-0 boson, phi, produced in proton-proton collisions at centre-of-mass energies of 7 and 8 TeV, using prompt phi -> mu(+)mu(-) decays and a data sample corresponding to an integrated luminosity of approximately 3.0 fb(-1) col ...

Springer Nature2018

Evidence for an nc(1S)ff- resonance in B0 yc(1S)K+ decays

Olivier Schneider, Guido Haefeli, Yiming Li, Christoph Frei, Aurelio Bay, Tatsuya Nakada, Michel De Cian, Frédéric Blanc, Luca Pescatore, François Fleuret

A Dalitz plot analysis of /30 ric(1S)K+7decays is performed using data samples of pp collisions collected with the LHCb detector at centre -of -mass energies of./7 = 7, 8 and 13 TeV, corresponding to a total integrated luminosity of 4.7 fb-1. A satisfactor ...

SPRINGER2018

Search for beautiful tetraquarks in the ?(1S)(+-) invariant-mass spectrum

Olivier Schneider, Aurelio Bay, Guido Haefeli, Christoph Frei, Tatsuya Nakada, Frédéric Blanc, Michel De Cian, Luca Pescatore, François Fleuret, Chitsanu Khurewathanakul

The (1 S) invariant-mass distribution is investigated for a possible exotic meson state composed of two b quarks and two b quarks, X bbbb. The analysis is based on a data sample of pp collisions recorded with the LHCb detector at centre-of-mass energies s ...

Springer Nature2018

Observation of the decay (B)over-bar(s)(0) -> chi(c2) K+K- in the phi mass region

Olivier Schneider, Guido Haefeli, Aurelio Bay, Christoph Frei, Tatsuya Nakada, Michel De Cian, Frédéric Blanc, Luca Pescatore, François Fleuret, Chitsanu Khurewathanakul

The (B) over bar (0)(s) -> chi(c2) K+ K- decay mode is observed and its branching fraction relative to the corresponding chi(c1) decay mode, in a +/- 15MeV/c(2) window around the phi mass, is found to be B ((B) over bar (0)(s) -> chi(c2) K+ K-)/B((B) over ...

Springer Nature2018

Observation of a New Xi(-)(b) Resonance

Olivier Schneider, Guido Haefeli, Aurelio Bay, Christoph Frei, Tatsuya Nakada, Frédéric Blanc, Michel De Cian, Luca Pescatore, François Fleuret, Chitsanu Khurewathanakul

From samples of pp collision data collected by the LHCb experiment at root s = 7, 8 and 13 TeV, corresponding to integrated luminosities of 1.0, 2.0 and 1.5 fb(-1), respectively, a peak in both the Lambda(0)(b) K- and Xi(0)(b)pi(-) invariant mass spectra i ...

2018

Measurement of forward top pair production in the dilepton channel in pp collisions at root s=13 TeV

Olivier Schneider, Yiming Li, Guido Haefeli, Christoph Frei, Aurelio Bay, Tatsuya Nakada, Michel De Cian, Luca Pescatore, Frédéric Blanc, François Fleuret

Forward top quark pair production is studied in pp collisions in the mu eb final state using a data sample corresponding to an integrated luminosity of 1.93 fb(-1) collected with the LHCb experiment at a centre-of-mass energy of 13 TeV. The cross-section i ...

Springer Nature2018

Convolutional Neural Networks for Inverse Problems in Imaging—A Review

Michaël Unser, Kyong Hwan Jin, Michael Thompson McCann

In this article, we review recent uses of convolutional neural networks (CNNs) to solve inverse problems in imaging. It has recently become feasible to train deep CNNs on large databases of images, and they have shown outstanding performance on object clas ...

IEEE2017

High-Quality Parallel-Ray x-Ray CT Back Projection Using Optimized Interpolation

Michaël Unser, Michael Thompson McCann

We propose a new, cost-efficient method for computing back projections in parallel-ray X-ray CT. Forward and back projections are the basis of almost all X-ray CT reconstruction methods, but computing these accurately is costly. In the special case of para ...

2017

GlobalBioIm: A Unifying Computational Framework for Solving Inverse Problems

Michaël Unser, Laurène Donati, Michael Thompson McCann, Emmanuel Emilien Louis Soubies, Ferréol Arnaud Marie Soulez

We present a unifying framework for the development of state-of-the-art reconstruction algorithms in computational optics with a clear separation between the physical (forward model) and signal-related (regularization, incorporation of prior constraints) a ...

OSA2017

Deep Convolutional Neural Network for Inverse Problems in Imaging

Michaël Unser, Michael Thompson McCann, Kyong Hwan Jin, Emmanuel Augustin Julien Froustey

In this paper, we propose a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Regularized iterative algorithms have emerged as the standard approach to ill-posed inverse problems in the past few decades. ...

2017

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