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3. Deep Learning to improve Experimental Sensitivity and Generative Models for Monte Carlo simulations for searching for New Physics in LHC experiments

Author

Salt José, Balanzá Raúl, Garcia Azael, Gomez Jon Ander, González de la Hoz Santiago, Lozano Julio, Ruiz de Austri Roberto, and Villaplana Miguel

Subjects
Physics, QC1-999
Abstract

ML/DL techniques have shown their power in the improvement of several studies and tasks in HEP, especially in physics analysis. Our approach has been to take a number of the ML/DL tools provided by several open-source platforms and apply them to several classification problems, for instance, to the tt¯ resonance extraction in the LHC experiments. Gradient-boosting Trees, Random Forest, Artificial Neural Networks (ANN), etc. have been used and optimized by means of adjusting several hyperparameters to control overfitting. On top of this, data simulation with traditional models is computationally very demanding, making the use of generative models an alternative for generating simulated Monte Carlo events with similar quality at a lower computational cost. This could help to produce more simulated data statistics available for better sensitivity and more accurate assessment of systematic errors in potential Physics Beyond Standard Model discoveries. In this work, we study the use of generative models based on Deep Learning as faster Monte Carlo event generators in the LHC context, reducing the time and energy cost of currently used methods. In particular, we focus on different configurations of Variational Autoencoders, taking as a starting point the well-known β-VAE and proposing the α-VAE as a new and simpler VAE architecture that improves the results in some experiments. Considerations will be made about the reliability of these simulated data when they are produced with very high statistics.

Published
2024
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6. Effective field theory of dark matter: a global analysis

Author

Liem, Sebastian, Bertone, Gianfranco, Calore, Francesca, Ruiz de Austri, Roberto, Tait, Tim MP, Trotta, Roberto, and Weniger, Christoph

Subjects
Beyond Standard Model, Cosmology of Theories beyond the SM, Effective field theories, hep-ph, astro-ph.HE, Nuclear & Particles Physics, Mathematical Sciences, Physical Sciences
Abstract

We present global fits of an effective field theory description of real, andcomplex scalar dark matter candidates. We simultaneously take into account allpossible dimension 6 operators consisting of dark matter bilinears and gaugeinvariant combinations of quark and gluon fields. We derive constraints on thefree model parameters for both the real (five parameters) and complex (seven)scalar dark matter models obtained by combining Planck data on the cosmicmicrowave background, direct detection limits from LUX, and indirect detectionlimits from the Fermi Large Area Telescope. We find that for real scalarsindirect dark matter searches disfavour a dark matter particle mass below 100GeV. For the complex scalar dark matter particle current data have a limitedimpact due to the presence of operators that lead to p-wave annihilation, andalso do not contribute to the spin-independent scattering cross- section.Although current data are not informative enough to strongly constrain thetheory parameter space, we demonstrate the power of our formalism toreconstruct the theoretical parameters compatible with an actual dark matterdetection, by assuming that the excess of gamma rays observed by the FermiLarge Area Telescope towards the Galactic centre is entirely due to dark matterannihilations. Please note that the excess can very well be due toastrophysical sources such as millisecond pulsars. We find that scalar darkmatter interacting via effective field theory operators can in principleexplain the Galactic centre excess, but that such interpretation is in strongtension with the non-detection of gamma rays from dwarf galaxies in the realscalar case. In the complex scalar case there is enough freedom to relieve thetension.

Published
2016

15. Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics

Author

Kösters, Dominique J., primary, Kortman, Bryan A., additional, Boybat, Irem, additional, Ferro, Elena, additional, Dolas, Sagar, additional, Ruiz de Austri, Roberto, additional, Kwisthout, Johan, additional, Hilgenkamp, Hans, additional, Rasing, Theo, additional, Riel, Heike, additional, Sebastian, Abu, additional, Caron, Sascha, additional, and Mentink, Johan H., additional

Published
2023
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19. Mixture-of-Theories training: can we find new physics and anomalies better by mixing physical theories?

Author

Ministerio de Ciencia, Innovación y Universidades (España), Caron, S., Ruiz de Austri, Roberto, Zhang, Z., Ministerio de Ciencia, Innovación y Universidades (España), Caron, S., Ruiz de Austri, Roberto, and Zhang, Z.

Abstract

Model-independent search strategies have been increasingly proposed in recent years because on the one hand there has been no clear signal for new physics and on the other hand there is a lack of a highly probable and parameter-free extension of the standard model. For these reasons, there is no simple search target so far. In this work, we try to take a new direction and ask the question: bearing in mind that we have a large number of new physics theories that go beyond the Standard Model and may contain a grain of truth, can we improve our search strategy for unknown signals by using them “in combination”? In particular, we show that a signal hypothesis based on a large, intermingled set of many different theoretical signal models can be a superior approach to find an unknown BSM signal. Applied to a recent data challenge, we show that “mixture-of-theories training” outperforms strategies that optimize signal regions with a single BSM model as well as most unsupervised strategies. Applications of this work include anomaly detection and the definition of signal regions in the search for signals of new physics.

Published
2023

20. Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics

Author

Kösters, Dominique J., Kortman, Bryan A., Boybat, Irem, Ferro, Elena, Dolas, Sagar, Ruiz de Austri, Roberto, Kwisthout, Johan, Hilgenkamp, Hans, Rasing, Theo, Riel, Heike, Sebastian, Abu, Caron, Sascha, and Mentink, Johan H.

Subjects
FOS: Computer and information sciences, High Energy Physics - Experiment (hep-ex), Computer Science - Machine Learning, Emerging Technologies (cs.ET), Spectroscopy of Solids and Interfaces, FOS: Physical sciences, Computer Science - Emerging Technologies, Cognitive artificial intelligence, High Energy Physics, Machine Learning (cs.LG), High Energy Physics - Experiment
Abstract

The massive use of artificial neural networks (ANNs), increasingly popular in many areas of scientific computing, rapidly increases the energy consumption of modern high-performance computing systems. An appealing and possibly more sustainable alternative is provided by novel neuromorphic paradigms, which directly implement ANNs in hardware. However, little is known about the actual benefits of running ANNs on neuromorphic hardware for use cases in scientific computing. Here we present a methodology for measuring the energy cost and compute time for inference tasks with ANNs on conventional hardware. In addition, we have designed an architecture for these tasks and estimate the same metrics based on a state-of-the-art analog in-memory computing (AIMC) platform, one of the key paradigms in neuromorphic computing. Both methodologies are compared for a use case in quantum many-body physics in two dimensional condensed matter systems and for anomaly detection at 40 MHz rates at the Large Hadron Collider in particle physics. We find that AIMC can achieve up to one order of magnitude shorter computation times than conventional hardware, at an energy cost that is up to three orders of magnitude smaller. This suggests great potential for faster and more sustainable scientific computing with neuromorphic hardware., 7 pages, 4 figures, submitted to and accepted by APL Machine Learning

Published
2022

22. Simple and statistically sound recommendations for analysing physical theories

Author

AbdusSalam, Shehu S, primary, Agocs, Fruzsina J, additional, Allanach, Benjamin C, additional, Athron, Peter, additional, Balázs, Csaba, additional, Bagnaschi, Emanuele, additional, Bechtle, Philip, additional, Buchmueller, Oliver, additional, Beniwal, Ankit, additional, Bhom, Jihyun, additional, Bloor, Sanjay, additional, Bringmann, Torsten, additional, Buckley, Andy, additional, Butter, Anja, additional, Camargo-Molina, José Eliel, additional, Chrzaszcz, Marcin, additional, Conrad, Jan, additional, Cornell, Jonathan M, additional, Danninger, Matthias, additional, de Blas, Jorge, additional, De Roeck, Albert, additional, Desch, Klaus, additional, Dolan, Matthew, additional, Dreiner, Herbert, additional, Eberhardt, Otto, additional, Ellis, John, additional, Farmer, Ben, additional, Fedele, Marco, additional, Flächer, Henning, additional, Fowlie, Andrew, additional, Gonzalo, Tomás E, additional, Grace, Philip, additional, Hamer, Matthias, additional, Handley, Will, additional, Harz, Julia, additional, Heinemeyer, Sven, additional, Hoof, Sebastian, additional, Hotinli, Selim, additional, Jackson, Paul, additional, Kahlhoefer, Felix, additional, Kowalska, Kamila, additional, Krämer, Michael, additional, Kvellestad, Anders, additional, Martinez, Miriam Lucio, additional, Mahmoudi, Farvah, additional, Santos, Diego Martinez, additional, Martinez, Gregory D, additional, Mishima, Satoshi, additional, Olive, Keith, additional, Paul, Ayan, additional, Prim, Markus Tobias, additional, Porod, Werner, additional, Raklev, Are, additional, Renk, Janina J, additional, Rogan, Christopher, additional, Roszkowski, Leszek, additional, Ruiz de Austri, Roberto, additional, Sakurai, Kazuki, additional, Scaffidi, Andre, additional, Scott, Pat, additional, Sessolo, Enrico Maria, additional, Stefaniak, Tim, additional, Stöcker, Patrick, additional, Su, Wei, additional, Trojanowski, Sebastian, additional, Trotta, Roberto, additional, Sming Tsai, Yue-Lin, additional, Van den Abeele, Jeriek, additional, Valli, Mauro, additional, Vincent, Aaron C, additional, Weiglein, Georg, additional, White, Martin, additional, Wienemann, Peter, additional, Wu, Lei, additional, and Zhang, Yang, additional

Published
2022
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23. The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider

Author

Aarrestad, Thea, primary, van Beekveld, Melissa, additional, Bona, Marcella, additional, Boveia, Antonio, additional, Caron, Sascha, additional, Davies, Joe, additional, de Simone, Andrea, additional, Doglioni, Caterina, additional, Duarte, Javier, additional, Farbin, Amir, additional, Gupta, Honey, additional, Hendriks, Luc, additional, Heinrich, Lukas A., additional, Howarth, James, additional, Jawahar, Pratik, additional, Jueid, Adil, additional, Lastow, Jessica, additional, Leinweber, Adam, additional, Mamuzic, Judita, additional, Merényi, Erzsébet, additional, Morandini, Alessandro, additional, Moskvitina, Polina, additional, Nellist, Clara, additional, Ngadiuba, Jennifer, additional, Ostdiek, Bryan, additional, Pierini, Maurizio, additional, Ravina, Baptiste, additional, Ruiz de Austri, Roberto, additional, Sekmen, Sezen, additional, Touranakou, Mary, additional, Vaškeviciute, Marija, additional, Vilalta, Ricardo, additional, Vlimant, Jean-Roch, additional, Verheyen, Rob, additional, White, Martin, additional, Wulff, Eric, additional, Wallin, Erik, additional, Wozniak, Kinga A., additional, and Zhang, Zhongyi, additional

Published
2022
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24. Timepix3 as solid-state time-projection chamber in particle and nuclear physics

Author

Acharya, Bobby, Alexandre, Jean, Beneš, Petr, Bergmann, Benedikt, Bevan, Adrian, Billoud, Thomas, Branzas, Horea, Burian, Petr, Campbell, Michael, Cecchini, Stefano, de Montigny, Marc, De Roeck, Albert, Ellis, John, El Sawy, Mai M.H., Fairbairn, Malcom, Felea, Daniel, Frank, Mariana, Garvey, Declan, Hays, Jonathan, Hirt, Ann Marie, Janecek, Josef, Korzenev, Alexander, Lacarrère, Daniel, Leroy, Claude, Levi, Guiseppe, Lionti, Anthony, Manek, Petr, Maulik, Atanu, Margiotta, Ann, Mauri, Nicoletta, Mavromatos, Nikos, Meduna, Lukas, Mermod, Philippe, Millward, Lewis, Mitsou, Vasiliki A., Ostrovskiy, Igor, Ouimet, Pierre-Philippe, Papavassiliou, Joannis, Parker, Becky, Patrizii, Laura, Pavalas, Gabriela, Pinfold, James, Popa, Lucia, Popa, V., Pozzato, Michele, Pospisil, Stanislav, Rajantie, Arttu, Ruiz de Austri, Roberto, Sahnoun, Zouleikha, Sakellariadou, Mairi, Santra, Arka, Sarkar, Sarben, Semenoff, Gordon W., Shaa, Ameir, Sirri, Gabriele, Smolyanskiy, Petr, Soluk, Richard, Spurio, Maurizio, Staelens, Michael, Schuh, Michael, Tenti, Matteo, Togo, Matteo, Tuszynski, Jack A., Upreti, Aditya, Vento, Vicente, Vives, Oscar M., Wall, Andie, and White, Eoghan

Subjects
Physics::Instrumentation and Detectors
Abstract

Timepix3 devices are hybrid pixel detectors developed within the Medipix3 collaboration at CERN providing a simultaneous measurement of energy (ToT) and time of arrival (ToA) in each of its 256×256 pixels (pixel pitch: 55 µm). The timestamp resolution below 2 ns allows a measurement of charge carrier drift times, so that particle trajectories can be reconstructed in 3D on a microscopic level (z-resolution: 30-60 µm). The 3D trajectory reconstruction methodology developed elsewhere is validated against simulated data providing ground truth information of the incident angles. The detector response functions and the achievable track angular resolutions are determined. For the first time, data taken with Timepix3 in the MoEDAL experiment are presented. After extracting singly charged minimum ionizing particle (MIP) tracks from the mixed radiation field using characteristic track features, their impact angles are evaluated. The directionality of the MIP radiation field is shown in elevation angle (θ) versus azimuthal angle (ϕ) maps, "unfolded" using the simulated detector responses to an omnidirectional radiation field., PoS: Proceedings of Science, 390, ISSN:1824-8039, 40th International Conference on High Energy Physics

Published
2021

26. Timepix3 as solid-state time-projection chamber in particle and nuclear physics

Author

Bergmann, Benedikt, Acharya, Bobby, Alexandre, Jean, Beneš, Petr, Bevan, Adrian, Billoud, Thomas, Branzas, Horea, Burian, Petr, Campbell, Michael, Cecchini, Stefano, Cho, Y M, de Montigny, Marc, De Roeck, Albert, Ellis, John R, El Sawy, Mai M H, Fairbairn, Malcolm, Felea, Daniel, Frank, Mariana, Garvey, Declan, Hays, Jonathan, Hirt, Ann M, Janecek, Josef, Kalliokoski, Matti, Korzenev, Alexander, Lacarrère, Daniel H, Leroy, Claude, Levi, Guiseppe, Lionti, Anthony, Manek, Petr, Maulik, Atanu, Margiotta, Ann, Mauri, Nicoletta, Mavromatos, Nikos, Meduna, Lukas, Mermod, Philippe, Millward, Lewis, Mitsou, Vasiliki A, Ostrovskiy, Igor, Ouimet, Pierre-Philippe, Papavassiliou, Joannis, Parker, Becky, Patrizii, Laura, Pavalas, Gabriela, Pinfold, James, Popa, Lucia A, Popa, Vlad, Pozzato, Michele, Pospisil, Stanislav, Rajantie, Arttu, Ruiz de Austri, Roberto, Sahnoun, Zouleikha, Sakellariadou, Mairi, Santra, Arka, Sarkar, Sarben, Semenoff, Gordon W, Shaa, Ameir, Sirri, Gabriele, Sliwa, Krzysztof, Smolyanskiy, Petr, Soluk, Richard, Spurio, Maurizio, Staelens, Michael, Suk, Michal, Tenti, Matteo, Togo, Vincent, Tuszynski, Jack A, Upreti, Aditya, Vento, Vicente, Vives García, Oscar M, Wall, Andie, White, Eoghan, and Helsinki Institute of Physics

Subjects
Physics, Time projection chamber, Large Hadron Collider, Pixel, business.industry, Physics::Instrumentation and Detectors, Detector, 114 Physical sciences, Dot pitch, Azimuth, MoEDAL experiment, Time of arrival, Optics, Detectors and Experimental Techniques, business
Abstract

Timepix3 devices are hybrid pixel detectors developed within the Medipix3 collaboration at CERN providing a simultaneous measurement of energy (ToT) and time of arrival (ToA) in each of its 256×256 pixels (pixel pitch: 55 µm). The timestamp resolution below 2 ns allows a measurement of charge carrier drift times, so that particle trajectories can be reconstructed in 3D on a microscopic level (z-resolution: 30-60 µm). The 3D trajectory reconstruction methodology developed elsewhere is validated against simulated data providing ground truth information of the incident angles. The detector response functions and the achievable track angular resolutions are determined. For the first time, data taken with Timepix3 in the MoEDAL experiment are presented. After extracting singly charged minimum ionizing particle (MIP) tracks from the mixed radiation field using characteristic track features, their impact angles are evaluated. The directionality of the MIP radiation field is shown in elevation angle (θ) versus azimuthal angle (ϕ) maps, "unfolded" using the simulated detector responses to an omnidirectional radiation field. Timepix3 devices are hybrid pixel detectors developed within the Medipix3 collaboration at CERN providing a simultaneous measurement of energy (ToT) and time of arrival (ToA) in each of its 256×256 pixels (pixel pitch: 55 µm). The timestamp resolution below 2 ns allows a measurement of charge carrier drift times, so that particle trajectories can be reconstructed in 3D on a microscopic level (z-resolution: 30-60 µm). The 3D trajectory reconstruction methodology developed elsewhere is validated against simulated data providing ground truth information of the incident angles. The detector response functions and the achievable track angular resolutions are determined. For the first time, data taken with Timepix3 in the MoEDAL experiment are presented. After extracting singly charged minimum ionizing particle (MIP) tracks from the mixed radiation field using characteristic track features, their impact angles are evaluated. The directionality of the MIP radiation field is shown in elevation angle (θ) versus azimuthal angle (ϕ) maps, "unfolded" using the simulated detector responses to an omnidirectional radiation field. Non

Published
2021

27. Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge

Author

Panes, B., Eckner, Christopher, Hendriks, L., Caron, S., Dijkstra, Klaas, Jóhannesson, G., Ruiz de Austri, Roberto, Zaharijas, Gabrijela, Panes, B., Eckner, Christopher, Hendriks, L., Caron, S., Dijkstra, Klaas, Jóhannesson, G., Ruiz de Austri, Roberto, and Zaharijas, Gabrijela

Abstract

Contains fulltext : 242788.pdf (Publisher’s version ) (Open Access)

Published
2021

28. Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge

Author

Panes, Boris, Eckner, Christopher, Hendriks, Luc, Caron, Sacha, Dijkstra, Klaas, Johannesson, Gudlaugur, Ruiz de Austri, Roberto, Zaharijas, Gabrijela, Panes, Boris, Eckner, Christopher, Hendriks, Luc, Caron, Sacha, Dijkstra, Klaas, Johannesson, Gudlaugur, Ruiz de Austri, Roberto, and Zaharijas, Gabrijela

Abstract

Context. At GeV energies, the sky is dominated by the interstellar emission from the Galaxy. With limited statistics and spatial resolution, accurately separating point sources is therefore challenging. Aims. Here we present the first application of deep learning based algorithms to automatically detect and classify point sources from gamma-ray data. For concreteness we refer to this approach as AutoSourceID. Methods. To detect point sources, we utilized U-shaped convolutional networks for image segmentation and k-means for source clustering and localization. We also explored the Centroid-Net algorithm, which is designed to find and count objects. Using two algorithms allows for a cross check of the results, while a combination of their results can be used to improve performance. The training data are based on 9.5 years of exposure from The Fermi Large Area Telescope (Fermi-LAT) and we used source properties of active galactic nuclei (AGNs) and pulsars (PSRs) from the fourth Fermi-LAT source catalog in addition to several models of background interstellar emission. The results of the localization algorithm are fed into a classification neural network that is trained to separate the three general source classes (AGNs, PSRs, and FAKE sources). Results. We compared our localization algorithms qualitatively with traditional methods and find them to have similar detection thresholds. We also demonstrate the robustness of our source localization algorithms to modifications in the interstellar emission models, which presents a clear advantage over traditional methods. The classification network is able to discriminate between the three classes with typical accuracy of similar to 70%, as long as balanced data sets are used in classification training. We published online our training data sets and analysis scripts and invite the community to join the data challenge aimed to improve the localization and classification of gamma-ray point sources., QC 20220104

Published
2021
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29. A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications

Author

Balázs, Csaba, van Beekveld, Melissa, Caron, Sascha, Dillon, Barry M., Farmer, Ben, Fowlie, Andrew, Garrido-Merchán, Eduardo C., Handley, Will, Hendriks, Luc, Jóhannesson, Guðlaugur, Leinweber, Adam, Mamužić, Judita, Martinez, Gregory D., Otten, Sydney, Ruiz de Austri, Roberto, Scott, Pat, Searle, Zachary, Stienen, Bob, Vanschoren, Joaquin, White, Martin, Balázs, Csaba, van Beekveld, Melissa, Caron, Sascha, Dillon, Barry M., Farmer, Ben, Fowlie, Andrew, Garrido-Merchán, Eduardo C., Handley, Will, Hendriks, Luc, Jóhannesson, Guðlaugur, Leinweber, Adam, Mamužić, Judita, Martinez, Gregory D., Otten, Sydney, Ruiz de Austri, Roberto, Scott, Pat, Searle, Zachary, Stienen, Bob, Vanschoren, Joaquin, and White, Martin

Abstract

Optimisation problems are ubiquitous in particle and astrophysics, and involve locating the optimum of a complicated function of many parameters that may be computationally expensive to evaluate. We describe a number of global optimisation algorithms that are not yet widely used in particle astrophysics, benchmark them against random sampling and existing techniques, and perform a detailed comparison of their performance on a range of test functions. These include four analytic test functions of varying dimensionality, and a realistic example derived from a recent global fit of weak-scale supersymmetry. Although the best algorithm to use depends on the function being investigated, we are able to present general conclusions about the relative merits of random sampling, Differential Evolution, Particle Swarm Optimisation, the Covariance Matrix Adaptation Evolution Strategy, Bayesian Optimisation, Grey Wolf Optimisation, and the PyGMO Artificial Bee Colony, Gaussian Particle Filter and Adaptive Memory Programming for Global Optimisation algorithms.

Published
2021
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35. Impact of Higgs physics on the parameter space of the μνSSM

Author

Kpatcha, Essodjolo, López-Fogliani, Daniel E., Muñoz, Carlos, Ruiz de Austri, Roberto, and UAM. Departamento de Física Teórica

Subjects
purl.org/becyt/ford/1 [https], Supersymmetry Phenomenology, Supersymmetric Standard Model, Dark Matter, Física, Higgs physics, Higgs Bosons, purl.org/becyt/ford/1.3 [https], Supersymmetry, LHC phenomenology
Abstract

Given the increasing number of experimental data, together with the precise measurement of the properties of the Higgs boson at the LHC, the parameter space of supersymmetric models starts to be constrained. We carry out a detailed analysis of this issue in the framework of the μνSSM. In this model, three families of right-handed neutrino superfields are present in order to solve the μ problem and simultaneously reproduce neutrino physics. The new couplings and sneutrino vacuum expectation values in the μνSSM induce new mixing of states, and, in particular, the three right sneutrinos can be substantially mixed with the neutral Higgses. After diagonalization, the masses of the corresponding three singlet-like eigenstates can be smaller or larger than the mass of the Higgs, or even degenerated with it. We analyze whether these situations are still compatible with the experimental results. To address it we scan the parameter space of the Higgs sector of the model. In particular, we sample the μνSSM using a powerful likelihood data-driven method, paying special attention to satisfy the constraints coming from Higgs sector measurements/limits (using HiggsBounds and HiggsSignals), as well as a class of flavor observables such as B and μ decays, while muon g- 2 is briefly discussed. We find that large regions of the parameter space of the μνSSM are viable, containing an interesting phenomenology that could be probed at the LHC, The work of EK and CM was supported in part by the Spanish Agencia Estatal de Investigación through the grants FPA2015-65929-P (MINECO/FEDER, UE), PGC2018-095161-B-I00 and IFT Centro de Excelencia Severo Ochoa SEV-2016-0597. The work of EK was funded by Fundación La Caixa under ‘La Caixa-Severo Ochoa’ international predoctoral grant. The work of DL was supported by the Argentinian CONICET, and also acknowledges the support of the Spanish grant FPA2015-65929-P (MINECO/FEDER, UE). RR acknowledges partial funding/support from the Elusives ITN (Marie Sklodowska-Curie grant agreement No 674896), the “SOM Sabor y origen de la Materia” (FPA 2017-85985-P) and the Spanish MINECO Centro de Excelencia Severo Ochoa del IFIC program under grant SEV-2014-0398. EK, CM, DL and RR also acknowledge the support of the Spanish Red Consolider MultiDark FPA2017-90566-REDC

Published
2020

36. Simple and statistically sound strategies for analysing physical theories

Author

AbdusSalam, Shehu S., Agocs, Fruzsina J., Allanach, Benjamin C., Athron, Peter, Balázs, Csaba, Bagnaschi, Emanuele, Bechtle, Philip, Buchmueller, Oliver, Beniwal, Ankit, Bhom, Jihyun, Bloor, Sanjay, Bringmann, Torsten, Buckley, Andy, Butter, Anja, Camargo-Molina, José Eliel, Chrzaszcz, Marcin, Conrad, Jan, Cornell, Jonathan M., Danninger, Matthias, de Blas, Jorge, De Roeck, Albert, Desch, Klaus, Dolan, Matthew, Dreiner, Herbert, Eberhardt, Otto, Ellis, John, Farmer, Ben, Fedele, Marco, Flächer, Henning, Fowlie, Andrew, Gonzalo, Tomás E., Grace, Philip, Hamer, Matthias, Handley, Will, Harz, Julia, Heinemeyer, Sven, Hoof, Sebastian, Hotinli, Selim, Jackson, Paul, Kahlhoefer, Felix, Kowalska, Kamila, Krämer, Michael, Kvellestad, Anders, Lucio Martinez, Miriam, Mahmoudi, Farvah, Martinez Santos, Diego, Martinez, Gregory D., Mishima, Satoshi, Olive, Keith, Paul, Ayan, Prim, Markus Tobias, Porod, Werner, Raklev, Are, Renk, Janina J., Rogan, Christopher, Roszkowski, Leszek, Ruiz de Austri, Roberto, Sakurai, Kazuki, Scaffidi, Andre, Scott, Pat, Sessolo, Enrico Maria, Stefaniak, Tim, Stöcker, Patrick, Su, Wei, Trojanowski, Sebastian, Trotta, Roberto, Tsai, Yue-Lin Sming, Van Den Abeele, Jeriek, Valli, Mauro, Vincent, Aaron C., Weiglein, Georg, White, Martin, Wienemann, Peter, Wu, Lei, Zhang, Yang, Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)

Subjects
Automatic Keywords, cosmological model, category, cosmological model: parameter space, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], higher-dimensional, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], programming, [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]
Abstract

Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to parameter estimation. Many models in particle physics, astrophysics and cosmology fall into one or both of these categories. These issues are often sidestepped with very simplistic and statistically unsound ad hoc methods, involving naive intersection of parameter intervals estimated by multiple experiments, and random or grid sampling of model parameters. Whilst these methods are easy to apply, they exhibit pathologies even in low-dimensional parameter spaces, and quickly become problematic to use and interpret in higher dimensions. In this article we give clear guidance for going beyond these rudimentary procedures, suggesting some simple methods for performing statistically sound inference, and recommendations of readily-available software tools and standards that can assist in doing so. Our aim is to provide physicists with recommendations for reaching correct scientific conclusions, with only a modest increase in analysis burden.

Published
2020
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37. Multilepton dark matter signals

Author

European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Aguilar-Saavedra, José Antonio, Casas, J. A., Quilis, Jordi, Ruiz de Austri, Roberto, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Aguilar-Saavedra, José Antonio, Casas, J. A., Quilis, Jordi, and Ruiz de Austri, Roberto

Abstract

The signatures of dark matter at the LHC commonly involve, in simplified scenarios, the production of a single particle plus large missing energy, from the undetected dark matter. However, in Z¿-portal scenarios anomaly cancellation requires the presence of extra dark leptons in the dark sector. We investigate the signatures of the minimal scenarios of this kind, which involve cascade decays of the extra Z¿ boson into the dark leptons, identifying a four-lepton signal as the most promising one. We estimate the sensitivity to this signal at the LHC, the high-luminosity LHC upgrade, a possible high-energy upgrade, as well as a future circular collider. For Z¿ couplings compatible with current dijet constraints the multilepton signals can reach the 5¿ level already at Run 2 of the LHC. At future colliders, couplings two orders of magnitude smaller than the electroweak coupling can be probed with 5¿ sensitivity.

Published
2020

38. The current status of fine-tuning in supersymmetry

Author

European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia e Innovación (España), van Beekveld, M., Caron, S., de Ruiz de Austri, Roberto, European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia e Innovación (España), van Beekveld, M., Caron, S., and de Ruiz de Austri, Roberto

Abstract

In this paper, we minimize and compare two different fine-tuning measures in four high-scale supersymmetric models that are embedded in the MSSM. In addition, we determine the impact of current and future dark matter direct detection and collider experiments on the fine-tuning. We then compare the low-scale electroweak measure with the high-scale Barbieri-Giudice measure. We find that they reduce to the same value when the higgsino parameter drives the degree of fine-tuning. We also find spectra where the high-scale measure turns out to be lower than the low-scale measure. Depending on the high-scale model and fine-tuning definition, we find a minimal fine-tuning of 3–38 (corresponding to O(10–1)%) for the low-scale measure, and 63–571 (corresponding to O(1–0.1)%) for the high-scale measure. We stress that it is too early to conclude on the fate of supersymmetry, based only on the fine-tuning paradigm.

Published
2020

39. Confronting the neutralino and chargino sector of the NMSSM with the multilepton searches at the LHC

Author

European Commission, Ministerio de Economía y Competitividad (España), Generalitat Valenciana, Domingo, Florian, Kim, J.S., Lozano, V.M., Martín-Ramiro, P., Ruiz de Austri, Roberto, European Commission, Ministerio de Economía y Competitividad (España), Generalitat Valenciana, Domingo, Florian, Kim, J.S., Lozano, V.M., Martín-Ramiro, P., and Ruiz de Austri, Roberto

Abstract

We test the impact of the ATLAS and CMS multilepton searches performed at the LHC with 8 as well as 13 TeV center-of-mass energy (using only the pre-2018 results) on the chargino and neutralino sector of the next-to-minimal supersymmetric Standard Model (NMSSM). Our purpose consists in analyzing the actual reach of these searches for a full model and in emphasizing effects beyond the minimal supersymmetric Standard Model (MSSM) that affect the performance of current (MSSM-inspired) electroweakino searches. To this end, we consider several scenarios characterizing specific features of the NMSSM electroweakino sector. We then perform a detailed collider study, generating Monte Carlo events through pythia and testing against current LHC constraints implemented in the public tool checkmate. We find e.g., that supersymmetric decay chains involving intermediate singlino or Higgs-singlet states can modify the naive MSSM-like picture of the constraints by inducing final states with softer or less easily identifiable SM particles-reversely, a compressed configuration with singlino next-to-lightest supersymmetric particle occasionally induces final states that are rich with photons, which could provide complementary search channels.

Published
2020

41. Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches

Author

Ministerio de Economía y Competitividad (España), Amoroso, S., Caron, S., Jueid, A., Ruiz de Austri, Roberto, Skands, P., Ministerio de Economía y Competitividad (España), Amoroso, S., Caron, S., Jueid, A., Ruiz de Austri, Roberto, and Skands, P.

Abstract

Motivated by the recent galactic center gamma-ray excess identified in the Fermi-LAT data, we perform a detailed study of QCD fragmentation uncertainties in the modeling of the energy spectra of gamma-rays from Dark-Matter (DM) annihilation. When Dark-Matter particles annihilate to coloured final states, either directly or via decays such as W q′, photons are produced from a complex sequence of shower, hadronisation and hadron decays. In phenomenological studies their energy spectra are typically computed using Monte Carlo event generators. These results have however intrinsic uncertainties due to the specific model used and the choice of model parameters, which are difficult to asses and which are typically neglected. We derive a new set of hadronisation parameters (tunes) for the PYTHIA 8.2 Monte Carlo generator from a fit to LEP and SLD data at the Z peak. For the first time we also derive a conservative set of uncertainties on the shower and hadronisation model parameters. Their impact on the gamma-ray energy spectra is evaluated and discussed for a range of DM masses and annihilation channels. The spectra and their uncertainties are also provided in tabulated form for future use. The fragmentation-parameter uncertainties may be useful for collider studies as well.

Published
2019

42. Accelerating the BSM interpretation of LHC data with machine learning

Author

Ministerio de Economía y Competitividad (España), Bertone, G., Deisenroth, M.P., Kim, J.S., Liem, S., Ruiz de Austri, Roberto, Welling, M., Ministerio de Economía y Competitividad (España), Bertone, G., Deisenroth, M.P., Kim, J.S., Liem, S., Ruiz de Austri, Roberto, and Welling, M.

Abstract

The interpretation of Large Hadron Collider (LHC) data in the framework of Beyond the Standard Model (BSM) theories is hampered by the need to run computationally expensive event generators and detector simulators. Performing statistically convergent scans of high-dimensional BSM theories is consequently challenging, and in practice unfeasible for very high-dimensional BSM theories. We present here a new machine learning method that accelerates the interpretation of LHC data, by learning the relationship between BSM theory parameters and data. As a proof-of-concept, we demonstrate that this technique accurately predicts natural SUSY signal events in two signal regions at the High Luminosity LHC, up to four orders of magnitude faster than standard techniques. The new approach makes it possible to rapidly and accurately reconstruct the theory parameters of complex BSM theories, should an excess in the data be discovered at the LHC.

Published
2019

43. Magnetic Monopole Search with the Full MoEDAL Trapping Detector in 13 TeV pp Collisions Interpreted in Photon-Fusion and Drell-Yan Production

Author

European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat Valenciana, Acharya, B., Alexandre, J., Baines, S., Benes, P., Bergmann, B., Bernabéu, José, Bevan, A., Branzas, H., Campbell, M., Cecchini, S., Cho, Y.M., De Montigny, M., De Roeck, A., Ellis, J. R., El Sawy, M., Fairbairn, M., Felea, D., Frank, M., Hays, J., Hirt, A. M., Janecek, J., Kim, D.W., Korzenev, A., Lacarrère, D.H., Lee, S.C., Leroy, C., Levi, G., Lionti, A., Mamuzic, Judita, Margiotta, A., Mauri, N., Mavromatos, N.E., Mermod, P., Mieskolainen, M., Millward, L., Mitsou, Vasiliki A., Orava, R., Ostrovskiy, I., Papavassiliou, Joannis, Parker, B., Patrizii, L., Păvălaş, G.E., Pinfold, J.L., Popa, V., Pozzato, M., Pospisil, S., Rajantie, A., Ruiz de Austri, Roberto, Sahnoun, Z., Santra, A., Vento, Vicente, Vives, Óscar, MoEDAL Collaboration, European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat Valenciana, Acharya, B., Alexandre, J., Baines, S., Benes, P., Bergmann, B., Bernabéu, José, Bevan, A., Branzas, H., Campbell, M., Cecchini, S., Cho, Y.M., De Montigny, M., De Roeck, A., Ellis, J. R., El Sawy, M., Fairbairn, M., Felea, D., Frank, M., Hays, J., Hirt, A. M., Janecek, J., Kim, D.W., Korzenev, A., Lacarrère, D.H., Lee, S.C., Leroy, C., Levi, G., Lionti, A., Mamuzic, Judita, Margiotta, A., Mauri, N., Mavromatos, N.E., Mermod, P., Mieskolainen, M., Millward, L., Mitsou, Vasiliki A., Orava, R., Ostrovskiy, I., Papavassiliou, Joannis, Parker, B., Patrizii, L., Păvălaş, G.E., Pinfold, J.L., Popa, V., Pozzato, M., Pospisil, S., Rajantie, A., Ruiz de Austri, Roberto, Sahnoun, Z., Santra, A., Vento, Vicente, Vives, Óscar, and MoEDAL Collaboration

Abstract

MoEDAL is designed to identify new physics in the form of stable or pseudostable highly ionizing particles produced in high-energy Large Hadron Collider (LHC) collisions. Here we update our previous search for magnetic monopoles in Run 2 using the full trapping detector with almost four times more material and almost twice more integrated luminosity. For the first time at the LHC, the data were interpreted in terms of photon-fusion monopole direct production in addition to the Drell-Yan-like mechanism. The MoEDAL trapping detector, consisting of 794 kg of aluminum samples installed in the forward and lateral regions, was exposed to 4.0 fb-1 of 13 TeV proton-proton collisions at the LHCb interaction point and analyzed by searching for induced persistent currents after passage through a superconducting magnetometer. Magnetic charges equal to or above the Dirac charge are excluded in all samples. Monopole spins 0, and 1 are considered and both velocity-independent and-dependent couplings are assumed. This search provides the best current laboratory constraints for monopoles with magnetic charges ranging from two to five times the Dirac charge.

Published
2019

45. Analyzing γ rays of the Galactic Center with deep learning

Author

Caron, Sascha, Gomez-Vargas, German A., Hendriks, Luc, Ruiz de Austri, Roberto, Caron, Sascha, Gomez-Vargas, German A., Hendriks, Luc, and Ruiz de Austri, Roberto

Abstract

Contains fulltext : 191810.pdf (preprint version ) (Open Access)

Published
2018

49. Dark matter interpretations of ATLAS searches for the electroweak production of supersymmetric particles in $\sqrt{s} = 8$ TeV proton-proton collisions

Author

Aaboud, Morad, Aad, Georges, Abbott, Brad, Abdallah, Jalal, Abdinov, Ovsat, Abeloos, Baptiste, Aben, Rosemarie, AbouZeid, Ossama, Abraham, Nicola, Abramowicz, Halina, Abreu, Henso, Abreu, Ricardo, Abulaiti, Yiming, Acharya, Bobby Samir, Adachi, Shunsuke, Adamczyk, Leszek, Adams, David, Adelman, Jahred, Adomeit, Stefanie, Adye, Tim, Affolder, Tony, Agatonovic-Jovin, Tatjana, Aguilar-Saavedra, Juan Antonio, Ahlen, Steven, Ahmadov, Faig, Aielli, Giulio, Akerstedt, Henrik, Åkesson, Torsten Paul Ake, Akimov, Andrei, Alberghi, Gian Luigi, Albert, Justin, Albrand, Solveig, Alconada Verzini, Maria Josefina, Aleksa, Martin, Aleksandrov, Igor, Alexa, Calin, Alexander, Gideon, Alexopoulos, Theodoros, Alhroob, Muhammad, Ali, Babar, Aliev, Malik, Alimonti, Gianluca, Alison, John, Alkire, Steven Patrick, Allbrooke, Benedict, Allen, Benjamin William, Allport, Phillip, Aloisio, Alberto, Alonso, Alejandro, Alonso, Francisco, Alpigiani, Cristiano, Alshehri, Azzah Aziz, Alstaty, Mahmoud, Alvarez Gonzalez, Barbara, Άlvarez Piqueras, Damián, Alviggi, Mariagrazia, Amadio, Brian Thomas, Amako, Katsuya, Amaral Coutinho, Yara, Amelung, Christoph, Amidei, Dante, Amor Dos Santos, Susana Patricia, Amorim, Antonio, Amoroso, Simone, Amundsen, Glenn, Anastopoulos, Christos, Ancu, Lucian Stefan, Andari, Nansi, Andeen, Timothy, Anders, Christoph Falk, Anders, Gabriel, Anders, John Kenneth, Anderson, Kelby, Andreazza, Attilio, Andrei, George Victor, Angelidakis, Stylianos, Angelozzi, Ivan, Angerami, Aaron, Anghinolfi, Francis, Anisenkov, Alexey, Anjos, Nuno, Annovi, Alberto, Antel, Claire, Antonelli, Mario, Antonov, Alexey, Anulli, Fabio, Aoki, Masato, Aperio Bella, Ludovica, Arabidze, Giorgi, Arai, Yasuo, Araque, Juan Pedro, Arce, Ayana, Arduh, Francisco Anuar, Arguin, Jean-Francois, Argyropoulos, Spyridon, Arik, Metin, Armbruster, Aaron James, Armitage, Lewis James, Arnaez, Olivier, Arnold, Hannah, Arratia, Miguel, Arslan, Ozan, Artamonov, Andrei, Artoni, Giacomo, Artz, Sebastian, Asai, Shoji, Asbah, Nedaa, Ashkenazi, Adi, Åsman, Barbro, Asquith, Lily, Assamagan, Ketevi, Astalos, Robert, Atkinson, Markus, Atlay, Naim Bora, Augsten, Kamil, Avolio, Giuseppe, Axen, Bradley, Ayoub, Mohamad Kassem, Azuelos, Georges, Baak, Max, Baas, Alessandra, Baca, Matthew John, Bachacou, Henri, Bachas, Konstantinos, Backes, Moritz, Backhaus, Malte, Bagiacchi, Paolo, Bagnaia, Paolo, Bai, Yu, Baines, John, Baker, Oliver Keith, Baldin, Evgenii, Balek, Petr, Balestri, Thomas, Balli, Fabrice, Balunas, William Keaton, Banas, Elzbieta, Banerjee, Swagato, Bannoura, Arwa A E, Barak, Liron, Barberio, Elisabetta Luigia, Barberis, Dario, Barbero, Marlon, Barillari, Teresa, Barisits, Martin-Stefan, Barklow, Timothy, Barlow, Nick, Barnes, Sarah Louise, Barnett, Bruce, Barnett, Michael, Barnovska-Blenessy, Zuzana, Baroncelli, Antonio, Barone, Gaetano, Barr, Alan, Barranco Navarro, Laura, Barreiro, Fernando, Barreiro Guimarães da Costa, João, Bartoldus, Rainer, Barton, Adam Edward, Bartos, Pavol, Basalaev, Artem, Bassalat, Ahmed, Bates, Richard, Batista, Santiago Juan, Batley, Richard, Battaglia, Marco, Bauce, Matteo, Bauer, Florian, Bawa, Harinder Singh, Beacham, James, Beattie, Michael David, Beau, Tristan, Beauchemin, Pierre-Hugues, Bechtle, Philip, Beck, Hans~Peter, Becker, Kathrin, Becker, Maurice, Beckingham, Matthew, Becot, Cyril, Beddall, Andrew, Beddall, Ayda, Bednyakov, Vadim, Bedognetti, Matteo, Bee, Christopher, Beemster, Lars, Beermann, Thomas, Begel, Michael, Behr, Janna Katharina, Belanger-Champagne, Camille, Bell, Andrew Stuart, Bella, Gideon, Bellagamba, Lorenzo, Bellerive, Alain, Bellomo, Massimiliano, Belotskiy, Konstantin, Beltramello, Olga, Belyaev, Nikita, Benary, Odette, Benchekroun, Driss, Bender, Michael, Bendtz, Katarina, Benekos, Nektarios, Benhammou, Yan, Benhar Noccioli, Eleonora, Benitez, Jose, Benjamin, Douglas, Bensinger, James, Bentvelsen, Stan, Beresford, Lydia, Beretta, Matteo, Berge, David, Bergeaas Kuutmann, Elin, Berger, Nicolas, Beringer, Jürg, Berlendis, Simon, Bernard, Nathan Rogers, Bernius, Catrin, Bernlochner, Florian Urs, Berry, Tracey, Berta, Peter, Bertella, Claudia, Bertoli, Gabriele, Bertolucci, Federico, Bertone, Gianfranco, Bertram, Iain Alexander, Bertsche, Carolyn, Bertsche, David, Besjes, Geert-Jan, Bessidskaia Bylund, Olga, Bessner, Martin Florian, Besson, Nathalie, Betancourt, Christopher, Bethani, Agni, Bethke, Siegfried, Bevan, Adrian John, Bianchi, Riccardo-Maria, Bianchini, Louis, Bianco, Michele, Biebel, Otmar, Biedermann, Dustin, Bielski, Rafal, Biesuz, Nicolo Vladi, Biglietti, Michela, Bilbao De Mendizabal, Javier, Billoud, Thomas Remy Victor, Bilokon, Halina, Bindi, Marcello, Binet, Sebastien, Bingul, Ahmet, Bini, Cesare, Biondi, Silvia, Bisanz, Tobias, Bjergaard, David Martin, Black, Curtis, Black, James, Black, Kevin, Blackburn, Daniel, Blair, Robert, Blanchard, Jean-Baptiste, Blazek, Tomas, Bloch, Ingo, Blocker, Craig, Blue, Andrew, Blum, Walter, Blumenschein, Ulrike, Blunier, Sylvain, Bobbink, Gerjan, Bobrovnikov, Victor, Bocchetta, Simona Serena, Bocci, Andrea, Bock, Christopher, Boehler, Michael, Boerner, Daniela, Bogaerts, Joannes Andreas, Bogavac, Danijela, Bogdanchikov, Alexander, Bohm, Christian, Boisvert, Veronique, Bokan, Petar, Bold, Tomasz, Boldyrev, Alexey, Bomben, Marco, Bona, Marcella, Boonekamp, Maarten, Borisov, Anatoly, Borissov, Guennadi, Bortfeldt, Jonathan, Bortoletto, Daniela, Bortolotto, Valerio, Bos, Kors, Boscherini, Davide, Bosman, Martine, Bossio Sola, Jonathan David, Boudreau, Joseph, Bouffard, Julian, Bouhova-Thacker, Evelina Vassileva, Boumediene, Djamel Eddine, Bourdarios, Claire, Boutle, Sarah Kate, Boveia, Antonio, Boyd, James, Boyko, Igor, Bracinik, Juraj, Brandt, Andrew, Brandt, Gerhard, Brandt, Oleg, Bratzler, Uwe, Brau, Benjamin, Brau, James, Breaden Madden, William Dmitri, Brendlinger, Kurt, Brennan, Amelia Jean, Brenner, Lydia, Brenner, Richard, Bressler, Shikma, Bristow, Timothy Michael, Britton, Dave, Britzger, Daniel, Brochu, Frederic, Brock, Ian, Brock, Raymond, Brooijmans, Gustaaf, Brooks, Timothy, Brooks, William, Brosamer, Jacquelyn, Brost, Elizabeth, Broughton, James, Bruckman de Renstrom, Pawel, Bruncko, Dusan, Bruneliere, Renaud, Bruni, Alessia, Bruni, Graziano, Bruni, Lucrezia Stella, Brunt, Benjamin, Bruschi, Marco, Bruscino, Nello, Bryant, Patrick, Bryngemark, Lene, Buanes, Trygve, Buat, Quentin, Buchholz, Peter, Buckley, Andrew, Budagov, Ioulian, Buehrer, Felix, Bugge, Magnar Kopangen, Bulekov, Oleg, Bullock, Daniel, Burckhart, Helfried, Burdin, Sergey, Burgard, Carsten Daniel, Burghgrave, Blake, Burka, Klaudia, Burke, Stephen, Burmeister, Ingo, Burr, Jonathan Thomas Peter, Busato, Emmanuel, Büscher, Daniel, Büscher, Volker, Bussey, Peter, Butler, John, Buttar, Craig, Butterworth, Jonathan, Butti, Pierfrancesco, Buttinger, William, Buzatu, Adrian, Buzykaev, Aleksey, Cabrera Urbán, Susana, Caforio, Davide, Cairo, Valentina, Cakir, Orhan, Calace, Noemi, Calafiura, Paolo, Calandri, Alessandro, Calderini, Giovanni, Calfayan, Philippe, Callea, Giuseppe, Caloba, Luiz, Calvente Lopez, Sergio, Calvet, David, Calvet, Samuel, Calvet, Thomas Philippe, Camacho Toro, Reina, Camarda, Stefano, Camarri, Paolo, Cameron, David, Caminal Armadans, Roger, Camincher, Clement, Campana, Simone, Campanelli, Mario, Camplani, Alessandra, Campoverde, Angel, Canale, Vincenzo, Canepa, Anadi, Cano Bret, Marc, Cantero, Josu, Cao, Tingting, Capeans Garrido, Maria Del Mar, Caprini, Irinel, Caprini, Mihai, Capua, Marcella, Carbone, Ryne Michael, Cardarelli, Roberto, Cardillo, Fabio, Carli, Ina, Carli, Tancredi, Carlino, Gianpaolo, Carminati, Leonardo, Caron, Sascha, Carquin, Edson, Carrillo-Montoya, German D, Carter, Janet, Carvalho, João, Casadei, Diego, Casado, Maria Pilar, Casolino, Mirkoantonio, Casper, David William, Castaneda-Miranda, Elizabeth, Castelijn, Remco, Castelli, Angelantonio, Castillo Gimenez, Victoria, Castro, Nuno Filipe, Catinaccio, Andrea, Catmore, James, Cattai, Ariella, Caudron, Julien, Cavaliere, Viviana, Cavallaro, Emanuele, Cavalli, Donatella, Cavalli-Sforza, Matteo, Cavasinni, Vincenzo, Ceradini, Filippo, Cerda Alberich, Leonor, Santiago Cerqueira, Augusto, Cerri, Alessandro, Cerrito, Lucio, Cerutti, Fabio, Cerv, Matevz, Cervelli, Alberto, Cetin, Serkant Ali, Chafaq, Aziz, Chakraborty, Dhiman, Chan, Stephen Kam-wah, Chan, Yat Long, Chang, Philip, Chapman, John Derek, Charlton, Dave, Chatterjee, Avishek, Chau, Chav Chhiv, Chavez Barajas, Carlos Alberto, Che, Siinn, Cheatham, Susan, Chegwidden, Andrew, Chekanov, Sergei, Chekulaev, Sergey, Chelkov, Gueorgui, Chelstowska, Magda Anna, Chen, Chunhui, Chen, Hucheng, Chen, Karen, Chen, Shenjian, Chen, Shion, Chen, Xin, Chen, Ye, Cheng, Hok Chuen, Cheng, Huajie, Cheng, Yangyang, Cheplakov, Alexander, Cheremushkina, Evgenia, Cherkaoui El Moursli, Rajaa, Chernyatin, Valeriy, Cheu, Elliott, Chevalier, Laurent, Chiarella, Vitaliano, Chiarelli, Giorgio, Chiodini, Gabriele, Chisholm, Andrew, Chitan, Adrian, Chizhov, Mihail, Choi, Kyungeon, Chomont, Arthur Rene, Chouridou, Sofia, Chow, Bonnie Kar Bo, Christodoulou, Valentinos, Chromek-Burckhart, Doris, Chudoba, Jiri, Chuinard, Annabelle Julia, Chwastowski, Janusz, Chytka, Ladislav, Ciapetti, Guido, Ciftci, Abbas Kenan, Cinca, Diane, Cindro, Vladimir, Cioara, Irina Antonela, Ciocca, Claudia, Ciocio, Alessandra, Cirotto, Francesco, Citron, Zvi Hirsh, Citterio, Mauro, Ciubancan, Mihai, Clark, Allan G, Clark, Brian Lee, Clark, Michael, Clark, Philip James, Clarke, Robert, Clement, Christophe, Coadou, Yann, Cobal, Marina, Coccaro, Andrea, Cochran, James H, Colasurdo, Luca, Cole, Brian, Colijn, Auke-Pieter, Collot, Johann, Colombo, Tommaso, Compostella, Gabriele, Conde Muiño, Patricia, Coniavitis, Elias, Connell, Simon Henry, Connelly, Ian, Consorti, Valerio, Constantinescu, Serban, Conti, Geraldine, Conventi, Francesco, Cooke, Mark, Cooper, Ben, Cooper-Sarkar, Amanda, Cormier, Kyle James Read, Cornelissen, Thijs, Corradi, Massimo, Corriveau, Francois, Cortes-Gonzalez, Arely, Cortiana, Giorgio, Costa, Giuseppe, Costa, María José, Costanzo, Davide, Cottin, Giovanna, Cowan, Glen, Cox, Brian, Cranmer, Kyle, Crawley, Samuel Joseph, Cree, Graham, Crépé-Renaudin, Sabine, Crescioli, Francesco, Cribbs, Wayne Allen, Crispin Ortuzar, Mireia, Cristinziani, Markus, Croft, Vince, Crosetti, Giovanni, Cueto, Ana, Cuhadar Donszelmann, Tulay, Cummings, Jane, Curatolo, Maria, Cúth, Jakub, Czirr, Hendrik, Czodrowski, Patrick, D'amen, Gabriele, D'Auria, Saverio, D'Onofrio, Monica, Da Cunha Sargedas De Sousa, Mario Jose, Da Via, Cinzia, Dabrowski, Wladyslaw, Dado, Tomas, Dai, Tiesheng, Dale, Orjan, Dallaire, Frederick, Dallapiccola, Carlo, Dam, Mogens, Dandoy, Jeffrey Rogers, Dang, Nguyen Phuong, Daniells, Andrew Christopher, Dann, Nicholas Stuart, Danninger, Matthias, Dano Hoffmann, Maria, Dao, Valerio, Darbo, Giovanni, Darmora, Smita, Dassoulas, James, Dattagupta, Aparajita, Davey, Will, David, Claire, Davidek, Tomas, Davies, Merlin, Davison, Peter, Dawe, Edmund, Dawson, Ian, De, Kaushik, de Asmundis, Riccardo, De Benedetti, Abraham, De Castro, Stefano, De Cecco, Sandro, De Groot, Nicolo, de Jong, Paul, De la Torre, Hector, De Lorenzi, Francesco, De Maria, Antonio, De Pedis, Daniele, De Salvo, Alessandro, De Sanctis, Umberto, De Santo, Antonella, De Vivie De Regie, Jean-Baptiste, Dearnaley, William James, Debbe, Ramiro, Debenedetti, Chiara, Dedovich, Dmitri, Dehghanian, Nooshin, Deigaard, Ingrid, Del Gaudio, Michela, Del Peso, Jose, Del Prete, Tarcisio, Delgove, David, Deliot, Frederic, Delitzsch, Chris Malena, Dell'Acqua, Andrea, Dell'Asta, Lidia, Dell'Orso, Mauro, Della Pietra, Massimo, della Volpe, Domenico, Delmastro, Marco, Delsart, Pierre-Antoine, DeMarco, David, Demers, Sarah, Demichev, Mikhail, Demilly, Aurelien, Denisov, Sergey, Denysiuk, Denys, Derendarz, Dominik, Derkaoui, Jamal Eddine, Derue, Frederic, Dervan, Paul, Desch, Klaus Kurt, Deterre, Cecile, Dette, Karola, Deviveiros, Pier-Olivier, Dewhurst, Alastair, Dhaliwal, Saminder, Di Ciaccio, Anna, Di Ciaccio, Lucia, Di Clemente, William Kennedy, Di Donato, Camilla, Di Girolamo, Alessandro, Di Girolamo, Beniamino, Di Micco, Biagio, Di Nardo, Roberto, Di Simone, Andrea, Di Sipio, Riccardo, Di Valentino, David, Diaconu, Cristinel, Diamond, Miriam, Dias, Flavia, Diaz, Marco Aurelio, Diehl, Edward, Dietrich, Janet, Díez Cornell, Sergio, Dimitrievska, Aleksandra, Dingfelder, Jochen, Dita, Petre, Dita, Sanda, Dittus, Fridolin, Djama, Fares, Djobava, Tamar, Djuvsland, Julia Isabell, Barros do Vale, Maria Aline, Dobos, Daniel, Dobre, Monica, Doglioni, Caterina, Dolejsi, Jiri, Dolezal, Zdenek, Donadelli, Marisilvia, Donati, Simone, Dondero, Paolo, Donini, Julien, Dopke, Jens, Doria, Alessandra, Dova, Maria-Teresa, Doyle, Tony, Drechsler, Eric, Dris, Manolis, Du, Yanyan, Duarte-Campderros, Jorge, Duchovni, Ehud, Duckeck, Guenter, Ducu, Otilia Anamaria, Duda, Dominik, Dudarev, Alexey, Dudder, Andreas Christian, Duffield, Emily Marie, Duflot, Laurent, Dührssen, Michael, Dumancic, Mirta, Dunford, Monica, Duran Yildiz, Hatice, Düren, Michael, Durglishvili, Archil, Duschinger, Dirk, Dutta, Baishali, Dyndal, Mateusz, Eckardt, Christoph, Ecker, Katharina Maria, Edgar, Ryan Christopher, Edwards, Nicholas Charles, Eifert, Till, Eigen, Gerald, Einsweiler, Kevin, Ekelof, Tord, El Kacimi, Mohamed, Ellajosyula, Venugopal, Ellert, Mattias, Elles, Sabine, Ellinghaus, Frank, Elliot, Alison, Ellis, Nicolas, Elmsheuser, Johannes, Elsing, Markus, Emeliyanov, Dmitry, Enari, Yuji, Endner, Oliver Chris, Ennis, Joseph Stanford, Erdmann, Johannes, Ereditato, Antonio, Ernis, Gunar, Ernst, Jesse, Ernst, Michael, Errede, Steven, Ertel, Eugen, Escalier, Marc, Esch, Hendrik, Escobar, Carlos, Esposito, Bellisario, Etienvre, Anne-Isabelle, Etzion, Erez, Evans, Hal, Ezhilov, Alexey, Ezzi, Mohammed, Fabbri, Federica, Fabbri, Laura, Facini, Gabriel, Fakhrutdinov, Rinat, Falciano, Speranza, Falla, Rebecca Jane, Faltova, Jana, Fang, Yaquan, Fanti, Marcello, Farbin, Amir, Farilla, Addolorata, Farina, Christian, Farina, Edoardo Maria, Farooque, Trisha, Farrell, Steven, Farrington, Sinead, Farthouat, Philippe, Fassi, Farida, Fassnacht, Patrick, Fassouliotis, Dimitrios, Faucci Giannelli, Michele, Favareto, Andrea, Fawcett, William James, Fayard, Louis, Fedin, Oleg, Fedorko, Wojciech, Feigl, Simon, Feligioni, Lorenzo, Feng, Cunfeng, Feng, Eric, Feng, Haolu, Fenyuk, Alexander, Feremenga, Last, Fernandez Martinez, Patricia, Fernandez Perez, Sonia, Ferrando, James, Ferrari, Arnaud, Ferrari, Pamela, Ferrari, Roberto, Ferreira de Lima, Danilo Enoque, Ferrer, Antonio, Ferrere, Didier, Ferretti, Claudio, Ferretto Parodi, Andrea, Fiedler, Frank, Filipčič, Andrej, Filipuzzi, Marco, Filthaut, Frank, Fincke-Keeler, Margret, Finelli, Kevin Daniel, Fiolhais, Miguel, Fiorini, Luca, Firan, Ana, Fischer, Adam, Fischer, Cora, Fischer, Julia, Fisher, Wade Cameron, Flaschel, Nils, Fleck, Ivor, Fleischmann, Philipp, Fletcher, Gareth Thomas, Fletcher, Rob Roy MacGregor, Flick, Tobias, Flores Castillo, Luis, Flowerdew, Michael, Forcolin, Giulio Tiziano, Formica, Andrea, Forti, Alessandra, Foster, Andrew Geoffrey, Fournier, Daniel, Fox, Harald, Fracchia, Silvia, Francavilla, Paolo, Franchini, Matteo, Francis, David, Franconi, Laura, Franklin, Melissa, Frate, Meghan, Fraternali, Marco, Freeborn, David, Fressard-Batraneanu, Silvia, Friedrich, Felix, Froidevaux, Daniel, Frost, James, Fukunaga, Chikara, Fullana Torregrosa, Esteban, Fusayasu, Takahiro, Fuster, Juan, Gabaldon, Carolina, Gabizon, Ofir, Gabrielli, Alessandro, Gabrielli, Andrea, Gach, Grzegorz, Gadatsch, Stefan, Gadomski, Szymon, Gagliardi, Guido, Gagnon, Louis Guillaume, Gagnon, Pauline, Galea, Cristina, Galhardo, Bruno, Gallas, Elizabeth, Gallop, Bruce, Gallus, Petr, Galster, Gorm Aske Gram Krohn, Gan, KK, Gao, Jun, Gao, Yanyan, Gao, Yongsheng, Garay Walls, Francisca, García, Carmen, García Navarro, José Enrique, Garcia-Sciveres, Maurice, Gardner, Robert, Garelli, Nicoletta, Garonne, Vincent, 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Navarro, Gabriela, Nayyar, Ruchika, Neal, Homer, Nechaeva, Polina, Neep, Thomas James, Negri, Andrea, Negrini, Matteo, Nektarijevic, Snezana, Nellist, Clara, Nelson, Andrew, Nemecek, Stanislav, Nemethy, Peter, Nepomuceno, Andre Asevedo, Nessi, Marzio, Neubauer, Mark, Neumann, Manuel, Neves, Ricardo, Nevski, Pavel, Newman, Paul, Nguyen, Duong Hai, Nguyen Manh, Tuan, Nickerson, Richard, Nicolaidou, Rosy, Nielsen, Jason, Nikiforov, Andriy, Nikolaenko, Vladimir, Nikolic-Audit, Irena, Nikolopoulos, Konstantinos, Nilsen, Jon Kerr, Nilsson, Paul, Ninomiya, Yoichi, Nisati, Aleandro, Nisius, Richard, Nobe, Takuya, Nomachi, Masaharu, Nomidis, Ioannis, Nooney, Tamsin, Norberg, Scarlet, Nordberg, Markus, Norjoharuddeen, Nurfikri, Novgorodova, Olga, Nowak, Sebastian, Nozaki, Mitsuaki, Nozka, Libor, Ntekas, Konstantinos, Nurse, Emily, Nuti, Francesco, O'grady, Fionnbarr, O'Neil, Dugan, O'Rourke, Abigail Alexandra, O'Shea, Val, Oakham, Gerald, Oberlack, Horst, Obermann, Theresa, Ocariz, Jose, Ochi, Atsuhiko, Ochoa, Ines, Ochoa-Ricoux, Juan Pedro, Oda, Susumu, Odaka, Shigeru, Ogren, Harold, Oh, Alexander, Oh, Seog, Ohm, Christian, Ohman, Henrik, Oide, Hideyuki, Okawa, Hideki, Okumura, Yasuyuki, Okuyama, Toyonobu, Olariu, Albert, Oleiro Seabra, Luis Filipe, Olivares Pino, Sebastian Andres, Oliveira Damazio, Denis, Olszewski, Andrzej, Olszowska, Jolanta, Onofre, António, Onogi, Kouta, Onyisi, Peter, Oreglia, Mark, Oren, Yona, Orestano, Domizia, Orlando, Nicola, Orr, Robert, Osculati, Bianca, Ospanov, Rustem, Otero y Garzon, Gustavo, Otono, Hidetoshi, Ouchrif, Mohamed, Ould-Saada, Farid, Ouraou, Ahmimed, Oussoren, Koen Pieter, Ouyang, Qun, Owen, Mark, Owen, Rhys Edward, Ozcan, Veysi Erkcan, Ozturk, Nurcan, Pachal, Katherine, Pacheco Pages, Andres, Pacheco Rodriguez, Laura, Padilla Aranda, Cristobal, Pagáčová, Martina, Pagan Griso, Simone, Paganini, Michela, Paige, Frank, Pais, Preema, Pajchel, Katarina, Palacino, Gabriel, Palazzo, Serena, Palestini, Sandro, Palka, Marek, Pallin, Dominique, Panagiotopoulou, Evgenia, Pandini, Carlo Enrico, Panduro Vazquez, William, Pani, Priscilla, Panitkin, Sergey, Pantea, Dan, Paolozzi, Lorenzo, Papadopoulou, Theodora, Papageorgiou, Konstantinos, Paramonov, Alexander, Paredes Hernandez, Daniela, Parker, Adam Jackson, Parker, Michael Andrew, Parker, Kerry Ann, Parodi, Fabrizio, Parsons, John, Parzefall, Ulrich, Pascuzzi, Vincent, Pasqualucci, Enrico, Passaggio, Stefano, Pastore, Francesca, Pásztor, Gabriella, Pataraia, Sophio, Pater, Joleen, Pauly, Thilo, Pearce, James, Pearson, Benjamin, Pedersen, Lars Egholm, Pedersen, Maiken, Pedraza Lopez, Sebastian, Pedro, Rute, Peleganchuk, Sergey, Penc, Ondrej, Peng, Cong, Peng, Haiping, Penwell, John, Peralva, Bernardo, Perego, Marta Maria, Perepelitsa, Dennis, Perez Codina, Estel, Perini, Laura, Pernegger, Heinz, Perrella, Sabrina, Peschke, Richard, Peshekhonov, Vladimir, Peters, Krisztian, Peters, Yvonne, Petersen, Brian, Petersen, Troels, Petit, Elisabeth, Petridis, Andreas, Petridou, Chariclia, Petroff, Pierre, Petrolo, Emilio, Petrov, Mariyan, Petrucci, Fabrizio, Pettersson, Nora Emilia, Peyaud, Alan, Pezoa, Raquel, Phillips, Peter William, Piacquadio, Giacinto, Pianori, Elisabetta, Picazio, Attilio, Piccaro, Elisa, Piccinini, Maurizio, Pickering, Mark Andrew, Piegaia, Ricardo, Pilcher, James, Pilkington, Andrew, Pin, Arnaud Willy J, Pinamonti, Michele, Pinfold, James, Pingel, Almut, Pires, Sylvestre, Pirumov, Hayk, Pitt, Michael, Plazak, Lukas, Pleier, Marc-Andre, Pleskot, Vojtech, Plotnikova, Elena, Plucinski, Pawel, Pluth, Daniel, Poettgen, Ruth, Poggioli, Luc, Pohl, David-leon, Polesello, Giacomo, Poley, Anne-luise, Policicchio, Antonio, Polifka, Richard, Polini, Alessandro, Pollard, Christopher Samuel, Polychronakos, Venetios, Pommès, Kathy, Pontecorvo, Ludovico, Pope, Bernard, Popeneciu, Gabriel Alexandru, Poppleton, Alan, Pospisil, Stanislav, Potamianos, Karolos, Potrap, Igor, Potter, Christina, Potter, Christopher, Poulard, Gilbert, Poveda, Joaquin, Pozdnyakov, Valery, Pozo Astigarraga, Mikel Eukeni, Pralavorio, Pascal, Pranko, Aliaksandr, Prell, Soeren, Price, Darren, Price, Lawrence, Primavera, Margherita, Prince, Sebastien, Prokofiev, Kirill, Prokoshin, Fedor, Protopopescu, Serban, Proudfoot, James, Przybycien, Mariusz, Puddu, Daniele, Purohit, Milind, Puzo, Patrick, Qian, Jianming, Qin, Gang, Qin, Yang, Quadt, Arnulf, Quayle, William, Queitsch-Maitland, Michaela, Quilty, Donnchadha, Raddum, Silje, Radeka, Veljko, Radescu, Voica, Radhakrishnan, Sooraj Krishnan, Radloff, Peter, Rados, Pere, Ragusa, Francesco, Rahal, Ghita, Raine, John Andrew, Rajagopalan, Srinivasan, Rammensee, Michael, Rangel-Smith, Camila, Ratti, Maria Giulia, Rauch, Daniel, Rauscher, Felix, Rave, Stefan, Ravenscroft, Thomas, Ravinovich, Ilia, Raymond, Michel, Read, Alexander Lincoln, Readioff, Nathan Peter, Reale, Marilea, Rebuzzi, Daniela, Redelbach, Andreas, Redlinger, George, Reece, Ryan, Reed, Robert, Reeves, Kendall, Rehnisch, Laura, Reichert, Joseph, Reiss, Andreas, Rembser, Christoph, Ren, Huan, Rescigno, Marco, Resconi, Silvia, Rezanova, Olga, Reznicek, Pavel, Rezvani, Reyhaneh, Richter, Robert, Richter, Stefan, Richter-Was, Elzbieta, Ricken, Oliver, Ridel, Melissa, Rieck, Patrick, Riegel, Christian Johann, Rieger, Julia, Rifki, Othmane, Rijssenbeek, Michael, Rimoldi, Adele, Rimoldi, Marco, Rinaldi, Lorenzo, Ristić, Branislav, Ritsch, Elmar, Riu, Imma, Rizatdinova, Flera, Rizvi, Eram, Rizzi, Chiara, Robertson, Steven, Robichaud-Veronneau, Andree, Robinson, Dave, Robinson, James, Robson, Aidan, Roda, Chiara, Rodina, Yulia, Rodriguez Perez, Andrea, Rodriguez Rodriguez, Daniel, Roe, Shaun, Rogan, Christopher Sean, Røhne, Ole, Romaniouk, Anatoli, Romano, Marino, Romano Saez, Silvestre Marino, Romero Adam, Elena, Rompotis, Nikolaos, Ronzani, Manfredi, Roos, Lydia, Ros, Eduardo, Rosati, Stefano, Rosbach, Kilian, Rose, Peyton, Rosien, Nils-Arne, Rossetti, Valerio, Rossi, Elvira, Rossi, Leonardo Paolo, Rosten, Jonatan, Rosten, Rachel, Rotaru, Marina, Roth, Itamar, Rothberg, Joseph, Rousseau, David, Rozanov, Alexandre, Rozen, Yoram, Ruan, Xifeng, Rubbo, Francesco, Rudolph, Matthew Scott, Rühr, Frederik, Ruiz de Austri, Roberto, Ruiz-Martinez, Aranzazu, Rurikova, Zuzana, Rusakovich, Nikolai, Ruschke, Alexander, Russell, Heather, Rutherfoord, John, Ruthmann, Nils, Ryabov, Yury, Rybar, Martin, Rybkin, Grigori, Ryu, Soo, Ryzhov, Andrey, Rzehorz, Gerhard Ferdinand, Saavedra, Aldo, Sabato, Gabriele, Sacerdoti, Sabrina, Sadrozinski, Hartmut, Sadykov, Renat, Safai Tehrani, Francesco, Saha, Puja, Sahinsoy, Merve, Saimpert, Matthias, Saito, Tomoyuki, Sakamoto, Hiroshi, Sakurai, Yuki, Salamanna, Giuseppe, Salamon, Andrea, Salazar Loyola, Javier Esteban, Salek, David, Sales De Bruin, Pedro Henrique, Salihagic, Denis, Salnikov, Andrei, Salt, José, Salvatore, Daniela, Salvatore, Pasquale Fabrizio, Salvucci, Antonio, Salzburger, Andreas, Sammel, Dirk, Sampsonidis, Dimitrios, Sanchez, Arturo, Sánchez, Javier, Sanchez Martinez, Victoria, Sandaker, Heidi, Sandbach, Ruth Laura, Sandhoff, Marisa, Sandoval, Carlos, Sankey, Dave, Sannino, Mario, Sansoni, Andrea, Santoni, Claudio, Santonico, Rinaldo, Santos, Helena, Santoyo Castillo, Itzebelt, Sapp, Kevin, Sapronov, Andrey, Saraiva, João, Sarrazin, Bjorn, Sasaki, Osamu, Sato, Koji, Sauvan, Emmanuel, Savage, Graham, Savard, Pierre, Savic, Natascha, Sawyer, Craig, Sawyer, Lee, Saxon, James, Sbarra, Carla, Sbrizzi, Antonio, Scanlon, Tim, Scannicchio, Diana, Scarcella, Mark, Scarfone, Valerio, Schaarschmidt, Jana, Schacht, Peter, Schachtner, Balthasar Maria, Schaefer, Douglas, Schaefer, Leigh, Schaefer, Ralph, Schaeffer, Jan, Schaepe, Steffen, Schaetzel, Sebastian, Schäfer, Uli, Schaffer, Arthur, Schaile, Dorothee, Schamberger, R Dean, Scharf, Veit, Schegelsky, Valery, Scheirich, Daniel, Schernau, Michael, Schiavi, Carlo, Schier, Sheena, Schillo, Christian, Schioppa, Marco, Schlenker, Stefan, Schmidt-Sommerfeld, Korbinian Ralf, Schmieden, Kristof, Schmitt, Christian, Schmitt, Stefan, Schmitz, Simon, Schneider, Basil, Schnoor, Ulrike, Schoeffel, Laurent, Schoening, Andre, Schoenrock, Bradley Daniel, Schopf, Elisabeth, Schott, Matthias, Schouwenberg, Jeroen, Schovancova, Jaroslava, Schramm, Steven, Schreyer, Manuel, Schuh, Natascha, Schulte, Alexandra, Schultens, Martin Johannes, Schultz-Coulon, Hans-Christian, Schulz, Holger, Schumacher, Markus, Schumm, Bruce, Schune, Philippe, Schwartzman, Ariel, Schwarz, Thomas Andrew, Schweiger, Hansdieter, Schwemling, Philippe, Schwienhorst, Reinhard, Schwindling, Jerome, Schwindt, Thomas, Sciolla, Gabriella, Scuri, Fabrizio, Scutti, Federico, Searcy, Jacob, Seema, Pienpen, Seidel, Sally, Seiden, Abraham, Seifert, Frank, Seixas, José, Sekhniaidze, Givi, Sekhon, Karishma, Sekula, Stephen, Seliverstov, Dmitry, Semprini-Cesari, Nicola, Serfon, Cedric, Serin, Laurent, Serkin, Leonid, Sessa, Marco, Seuster, Rolf, Severini, Horst, Sfiligoj, Tina, Sforza, Federico, Sfyrla, Anna, Shabalina, Elizaveta, Shaikh, Nabila Wahab, Shan, Lianyou, Shang, Ruo-yu, Shank, James, Shapiro, Marjorie, Shatalov, Pavel, Shaw, Kate, Shaw, Savanna Marie, Shcherbakova, Anna, Shehu, Ciwake Yusufu, Sherwood, Peter, Shi, Liaoshan, Shimizu, Shima, Shimmin, Chase Owen, Shimojima, Makoto, Shirabe, Shohei, Shiyakova, Mariya, Shmeleva, Alevtina, Shoaleh Saadi, Diane, Shochet, Mel, Shojaii, Seyed Ruhollah, Shope, David Richard, Shrestha, Suyog, Shulga, Evgeny, Shupe, Michael, Sicho, Petr, Sickles, Anne Marie, Sidebo, Per Edvin, Sidiropoulou, Ourania, Sidorov, Dmitri, Sidoti, Antonio, Siegert, Frank, Sijacki, Djordje, Silva, José, Silverstein, Samuel, Simak, Vladislav, Simic, Ljiljana, Simion, Stefan, Simioni, Eduard, Simmons, Brinick, Simon, Dorian, Simon, Manuel, Sinervo, Pekka, Sinev, Nikolai, Sioli, Maximiliano, Siragusa, Giovanni, Sivoklokov, Serguei, Sjölin, Jörgen, Skinner, Malcolm Bruce, Skottowe, Hugh Philip, Skubic, Patrick, Slater, Mark, Slavicek, Tomas, Slawinska, Magdalena, Sliwa, Krzysztof, Slovak, Radim, Smakhtin, Vladimir, Smart, Ben, Smestad, Lillian, Smiesko, Juraj, Smirnov, Sergei, Smirnov, Yury, Smirnova, Lidia, Smirnova, Oxana, Smith, Matthew, Smith, Russell, Smizanska, Maria, Smolek, Karel, Snesarev, Andrei, Snyder, Ian Michael, Snyder, Scott, Sobie, Randall, Socher, Felix, Soffer, Abner, Soh, Dart-yin, Sokhrannyi, Grygorii, Solans Sanchez, Carlos, Solar, Michael, Soldatov, Evgeny, Soldevila, Urmila, Solodkov, Alexander, Soloshenko, Alexei, Solovyanov, Oleg, Solovyev, Victor, Sommer, Philip, Son, Hyungsuk, Song, Hong Ye, Sood, Alexander, Sopczak, Andre, Sopko, Vit, Sorin, Veronica, Sosa, David, Sotiropoulou, Calliope Louisa, Soualah, Rachik, Soukharev, Andrey, South, David, Sowden, Benjamin, Spagnolo, Stefania, Spalla, Margherita, Spangenberg, Martin, Spanò, Francesco, Sperlich, Dennis, Spettel, Fabian, Spighi, Roberto, Spigo, Giancarlo, Spiller, Laurence Anthony, Spousta, Martin, St Denis, Richard Dante, Stabile, Alberto, Stamen, Rainer, Stamm, Soren, Stanecka, Ewa, Stanek, Robert, Stanescu, Cristian, Stanescu-Bellu, Madalina, Stanitzki, Marcel Michael, Stapnes, Steinar, Starchenko, Evgeny, Stark, Giordon, Stark, Jan, Staroba, Pavel, Starovoitov, Pavel, Stärz, Steffen, Staszewski, Rafal, Steinberg, Peter, Stelzer, Bernd, Stelzer, Harald Joerg, Stelzer-Chilton, Oliver, Stenzel, Hasko, Stewart, Graeme, Stillings, Jan Andre, Stockton, Mark, Stoebe, Michael, Stoicea, Gabriel, Stolte, Philipp, Stonjek, Stefan, Stradling, Alden, Straessner, Arno, Stramaglia, Maria Elena, Strandberg, Jonas, Strandberg, Sara, Strandlie, Are, Strauss, Michael, Strizenec, Pavol, Ströhmer, Raimund, Strom, David, Stroynowski, Ryszard, Strubig, Antonia, Stucci, Stefania Antonia, Stugu, Bjarne, Styles, Nicholas Adam, Su, Dong, Su, Jun, Suchek, Stanislav, Sugaya, Yorihito, Suk, Michal, Sulin, Vladimir, Sultansoy, Saleh, Sumida, Toshi, Sun, Siyuan, Sun, Xiaohu, Sundermann, Jan Erik, Suruliz, Kerim, Susinno, Giancarlo, Sutton, Mark, Suzuki, Shota, Svatos, Michal, Swiatlowski, Maximilian, Sykora, Ivan, Sykora, Tomas, Ta, Duc, Taccini, Cecilia, Tackmann, Kerstin, Taenzer, Joe, Taffard, Anyes, Tafirout, Reda, Taiblum, Nimrod, Takai, Helio, Takashima, Ryuichi, Takeshita, Tohru, Takubo, Yosuke, Talby, Mossadek, Talyshev, Alexey, Tan, Kong Guan, Tanaka, Junichi, Tanaka, Masahiro, Tanaka, Reisaburo, Tanaka, Shuji, Tanioka, Ryo, Tannenwald, Benjamin Bordy, Tapia Araya, Sebastian, Tapprogge, Stefan, Tarem, Shlomit, Tartarelli, Giuseppe Francesco, Tas, Petr, Tasevsky, Marek, Tashiro, Takuya, Tassi, Enrico, Tavares Delgado, Ademar, Tayalati, Yahya, Taylor, Aaron, Taylor, Geoffrey, Taylor, Pierre Thor Elliot, Taylor, Wendy, Teischinger, Florian Alfred, Teixeira-Dias, Pedro, Temming, Kim Katrin, Temple, Darren, Ten Kate, Herman, Teng, Ping-Kun, Teoh, Jia Jian, Tepel, Fabian-Phillipp, Terada, Susumu, Terashi, Koji, Terron, Juan, Terzo, Stefano, Testa, Marianna, Teuscher, Richard, Theveneaux-Pelzer, Timothée, Thomas, Juergen, Thomas-Wilsker, Joshuha, Thompson, Paul, Thompson, Stan, Thomsen, Lotte Ansgaard, Thomson, Evelyn, Tibbetts, Mark James, Ticse Torres, Royer Edson, Tikhomirov, Vladimir, Tikhonov, Yury, Timoshenko, Sergey, Tipton, Paul, Tisserant, Sylvain, Todome, Kazuki, Todorov, Theodore, Todorova-Nova, Sharka, Tojo, Junji, Tokár, Stanislav, Tokushuku, Katsuo, Tolley, Emma, Tomlinson, Lee, Tomoto, Makoto, Tompkins, Lauren, Toms, Konstantin, Tong, Baojia(Tony), Tornambe, Peter, Torrence, Eric, Torres, Heberth, Torró Pastor, Emma, Toth, Jozsef, Touchard, Francois, Tovey, Daniel, Trefzger, Thomas, Tricoli, Alessandro, Trigger, Isabel Marian, Trincaz-Duvoid, Sophie, Tripiana, Martin, Trischuk, William, Trocmé, Benjamin, Trofymov, Artur, Troncon, Clara, Trotta, Roberto, Trottier-McDonald, Michel, Trovatelli, Monica, Truong, Loan, Trzebinski, Maciej, Trzupek, Adam, Tseng, Jeffrey, Tsiareshka, Pavel, Tsipolitis, Georgios, Tsirintanis, Nikolaos, Tsiskaridze, Shota, Tsiskaridze, Vakhtang, Tskhadadze, Edisher, Tsui, Ka Ming, Tsukerman, Ilya, Tsulaia, Vakhtang, Tsuno, Soshi, Tsybychev, Dmitri, Tu, Yanjun, Tudorache, Alexandra, Tudorache, Valentina, Tuna, Alexander Naip, Tupputi, Salvatore, Turchikhin, Semen, Turecek, Daniel, Turgeman, Daniel, Turra, Ruggero, Tuts, Michael, Tyndel, Mike, Ucchielli, Giulia, Ueda, Ikuo, Ughetto, Michael, Ukegawa, Fumihiko, Unal, Guillaume, Undrus, Alexander, Unel, Gokhan, Ungaro, Francesca, Unno, Yoshinobu, Unverdorben, Christopher, Urban, Jozef, Urquijo, Phillip, Urrejola, Pedro, Usai, Giulio, Usui, Junya, Vacavant, Laurent, Vacek, Vaclav, Vachon, Brigitte, Valderanis, Chrysostomos, Valdes Santurio, Eduardo, Valencic, Nika, Valentinetti, Sara, Valero, Alberto, Valery, Loic, Valkar, Stefan, Valls Ferrer, Juan Antonio, Van Den Wollenberg, Wouter, Van Der Deijl, Pieter, van der Graaf, Harry, van Eldik, Niels, van Gemmeren, Peter, Van Nieuwkoop, Jacobus, van Vulpen, Ivo, van Woerden, Marius Cornelis, Vanadia, Marco, Vandelli, Wainer, Vanguri, Rami, Vaniachine, Alexandre, Vankov, Peter, Vardanyan, Gagik, Vari, Riccardo, Varnes, Erich, Varol, Tulin, Varouchas, Dimitris, Vartapetian, Armen, Varvell, Kevin, Vasquez, Jared Gregory, Vasquez, Gerardo, Vazeille, Francois, Vazquez Schroeder, Tamara, Veatch, Jason, Veeraraghavan, Venkatesh, Veloce, Laurelle Maria, Veloso, Filipe, Veneziano, Stefano, Ventura, Andrea, Venturi, Manuela, Venturi, Nicola, Venturini, Alessio, Vercesi, Valerio, Verducci, Monica, Verkerke, Wouter, Vermeulen, Jos, Vest, Anja, Vetterli, Michel, Viazlo, Oleksandr, Vichou, Irene, Vickey, Trevor, Vickey Boeriu, Oana Elena, Viehhauser, Georg, Viel, Simon, Vigani, Luigi, Villa, Mauro, Villaplana Perez, Miguel, Vilucchi, Elisabetta, Vincter, Manuella, Vinogradov, Vladimir, Vittori, Camilla, Vivarelli, Iacopo, Vlachos, Sotirios, Vlasak, Michal, Vogel, Marcelo, Vokac, Petr, Volpi, Guido, Volpi, Matteo, von der Schmitt, Hans, von Toerne, Eckhard, Vorobel, Vit, Vorobev, Konstantin, Vos, Marcel, Voss, Rudiger, Vossebeld, Joost, Vranjes, Nenad, Vranjes Milosavljevic, Marija, Vrba, Vaclav, Vreeswijk, Marcel, Vuillermet, Raphael, Vukotic, Ilija, Vykydal, Zdenek, Wagner, Peter, Wagner, Wolfgang, Wahlberg, Hernan, Wahrmund, Sebastian, Wakabayashi, Jun, Walder, James, Walker, Rodney, Walkowiak, Wolfgang, Wallangen, Veronica, Wang, Chao, Wang, Fuquan, Wang, Haichen, Wang, Hulin, Wang, Jike, Wang, Jin, Wang, Kuhan, Wang, Rui, Wang, Song-Ming, Wang, Tan, Wang, Tingting, Wang, Wenxiao, Wanotayaroj, Chaowaroj, Warburton, Andreas, Ward, Patricia, Wardrope, David Robert, Washbrook, Andrew, Watkins, Peter, Watson, Alan, Watson, Miriam, Watts, Gordon, Watts, Stephen, Waugh, Ben, Webb, Samuel, Weber, Michele, Weber, Stefan Wolf, Weber, Stephen, Webster, Jordan S, Weidberg, Anthony, Weinert, Benjamin, Weingarten, Jens, Weiser, Christian, Weits, Hartger, Wells, Phillippa, Wenaus, Torre, Wengler, Thorsten, Wenig, Siegfried, Wermes, Norbert, Werner, Matthias, Werner, Michael David, Werner, Per, Wessels, Martin, Wetter, Jeffrey, Whalen, Kathleen, Whallon, Nikola Lazar, Wharton, Andrew Mark, White, Andrew, White, Martin, White, Ryan, Whiteson, Daniel, Wickens, Fred, Wiedenmann, Werner, Wielers, Monika, Wiglesworth, Craig, Wiik-Fuchs, Liv Antje Mari, Wildauer, Andreas, Wilk, Fabian, Wilkens, Henric George, Williams, Hugh, Williams, Sarah, Willis, Christopher, Willocq, Stephane, Wilson, John, Wingerter-Seez, Isabelle, Winklmeier, Frank, Winston, Oliver James, Winter, Benedict Tobias, Wittgen, Matthias, Wittkowski, Josephine, Wolf, Tim Michael Heinz, Wolter, Marcin Wladyslaw, Wolters, Helmut, Worm, Steven D, Wosiek, Barbara, Wotschack, Jorg, Woudstra, Martin, Wozniak, Krzysztof, Wu, Mengqing, Wu, Miles, Wu, Sau Lan, Wu, Xin, Wu, Yusheng, Wyatt, Terry Richard, Wynne, Benjamin, Xella, Stefania, Xu, Da, Xu, Lailin, Yabsley, Bruce, Yacoob, Sahal, Yamaguchi, Daiki, Yamaguchi, Yohei, Yamamoto, Akira, Yamamoto, Shimpei, Yamanaka, Takashi, Yamauchi, Katsuya, Yamazaki, Yuji, Yan, Zhen, Yang, Haijun, Yang, Hongtao, Yang, Yi, Yang, Zongchang, Yao, Weiming, Yap, Yee Chinn, Yasu, Yoshiji, Yatsenko, Elena, Yau Wong, Kaven Henry, Ye, Jingbo, Ye, Shuwei, Yeletskikh, Ivan, Yildirim, Eda, Yorita, Kohei, Yoshida, Rikutaro, Yoshihara, Keisuke, Young, Charles, Young, Christopher John, Youssef, Saul, Yu, David Ren-Hwa, Yu, Jaehoon, Yu, Jiaming, Yu, Jie, Yuan, Li, Yuen, Stephanie P, Yusuff, Imran, Zabinski, Bartlomiej, Zaidan, Remi, Zaitsev, Alexander, Zakharchuk, Nataliia, Zalieckas, Justas, Zaman, Aungshuman, Zambito, Stefano, Zanello, Lucia, Zanzi, Daniele, Zeitnitz, Christian, Zeman, Martin, Zemla, Andrzej, Zeng, Jian Cong, Zeng, Qi, Zenin, Oleg, Ženiš, Tibor, Zerwas, Dirk, Zhang, Dongliang, Zhang, Fangzhou, Zhang, Guangyi, Zhang, Huijun, Zhang, Jinlong, Zhang, Lei, Zhang, Matt, Zhang, Rui, Zhang, Ruiqi, Zhang, Xueyao, Zhang, Zhiqing, Zhao, Xiandong, Zhao, Yongke, Zhao, Zhengguo, Zhemchugov, Alexey, Zhong, Jiahang, Zhou, Bing, Zhou, Chen, Zhou, Lei, Zhou, Li, Zhou, Mingliang, Zhou, Ning, Zhu, Cheng Guang, Zhu, Hongbo, Zhu, Junjie, Zhu, Yingchun, Zhuang, Xuai, Zhukov, Konstantin, Zibell, Andre, Zieminska, Daria, Zimine, Nikolai, Zimmermann, Christoph, Zimmermann, Stephanie, Zinonos, Zinonas, Zinser, Markus, Ziolkowski, Michael, Živković, Lidija, Zobernig, Georg, Zoccoli, Antonio, zur Nedden, Martin, Zwalinski, Lukasz, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ATLAS, Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and Tong, Baojia

Subjects
8000 GeV-cms, data analysis method, flavor, electroweak interaction, High Energy Physics::Phenomenology, density [dark matter], FOS: Physical sciences, minimal supersymmetric standard model, parameter space [supersymmetry], CERN LEP Stor, mass difference, ATLAS, pair production [sparticle], High Energy Physics - Experiment, mass spectrum, High Energy Physics - Experiment (hep-ex), CERN LHC Coll, scattering [p p], [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], ddc:530, High Energy Physics::Experiment, colliding beams [p p], mass [neutralino], Particle Physics - Experiment, experimental results
Abstract

A selection of searches by the ATLAS experiment at the LHC for the electroweak production of SUSY particles are used to study their impact on the constraints on dark matter candidates. The searches use $20\,{\rm fb}^{-1}$ of proton-proton collision data at $\sqrt{s}=8$ TeV. A likelihood-driven scan of a five-dimensional effective model focusing on the gaugino--higgsino and Higgs sector of the phenomenological minimal supersymmetric Standard Model is performed. This scan uses data from direct dark matter detection experiments, the relic dark matter density and precision flavour physics results. Further constraints from the ATLAS Higgs mass measurement and SUSY searches at LEP are also applied. A subset of models selected from this scan are used to assess the impact of the selected ATLAS searches in this five-dimensional parameter space. These ATLAS searches substantially impact those models for which the mass $m(\tilde{\chi}^0_1)$ of the lightest neutralino is less than 65 GeV, excluding 86% of such models. The searches have limited impact on models with larger $m(\tilde{\chi}^0_1)$ due to either heavy electroweakinos or compressed mass spectra where the mass splittings between the produced particles and the lightest supersymmetric particle is small., Comment: 25 pages plus author list + cover pages (43 pages total), 6 figures, 4 tables, submitted to JHEP, All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SUSY-2015-12/

Published
2016

50. Probing the μ-from-ν supersymmetric standard model with displaced multileptons from the decay of a Higgs boson at the LHC

Author

Ghosh, Pradipt, Lopez, Daniel Elbio, Mitsou, Vasiliki A., Muñoz, Carlos, Ruiz de Austri, Roberto, and UAM. Departamento de Física Teórica

Subjects
Higgs Physics, Ciencias Físicas, High Energy Physics::Phenomenology, FOS: Physical sciences, Física, purl.org/becyt/ford/1.3 [https], Física de Partículas y Campos, purl.org/becyt/ford/1 [https], High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), Supersymmetry Phenomenology, Collider searchs, Ciencias Naturales y Exactas, High Energy Physics::Experiment
Abstract

The ‘‘μ from v’’ supersymmetric standard model (μvSSM) cures the μ problem and concurrently reproduces measured neutrino data by using a set of usual right-handed neutrino superfields. Recently, the LHC has revealed the first scalar boson which naturally makes it tempting to test μvSSM in the light of this new discovery. We show that this new scalar, while decaying to a pair of unstable long-lived neutralinos, can lead to a distinct signal with nonprompt multileptons. With concomitant collider analysis we show that this signal provides an intriguing signature of the model, pronounced with light neutralinos. Evidence of this signal is well envisaged with sophisticated displaced vertex analysis, which deserves experimental attention, The work of P. G. and C. M. was supported in part by the Spanish MINECO under Grants No. FPA2009-08958 and No. FPA2012-34694, and under the ‘‘Centro de Excelencia Severo Ochoa’’ Programme SEV-2012-0249, by the Comunidad de Madrid under Grant No. HEPHACOS S2009/ESP-1473, and by the European Union under the Marie Curie-ITN Program PITN-GA-2009-237920. The work of D. L. was supported by the Argentinian CONICET. The work of V. M. was supported by the Spanish MINECO under Grant No. FPA2009-13234-C04-01 and by the Spanish AECID under PCI Project No. A1/035250/11. The work of R. R. was supported by the Ramón y Cajal program of the Spanish MINECO and also thanks the support of the MINECO under Grant No. FPA2011-29678. The authors also acknowledge the support of the MINECO’s Consolider-Ingenio 2010 Programme under Grant No. MultiDark CSD2009-00064

Published
2013

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