Gauthier Durieux, Ilaria Brivio, Fabio Maltoni, Michael Trott, Simone Alioli, Andy Buckley, Mauro Chiesa, Jorge de Blas, Athanasios Dedes, Céline Degrande, Ansgar Denner, Christoph Englert, James Ferrando, Benjamin Fuks, Peter Galler, Admir Greljo, Valentin Hirschi, Gino Isidori, Wolfgang Kilian, Frank Krauss, Jean-Nicolas Lang, Jonas Lindert, Michelangelo Mangano, David Marzocca, Olivier Mattelaer, Kentarou Mawatari, Emanuele Mereghetti, David J. Miller, Ken Mimasu, Michael Paraskevas, Tilman Plehn, Laura Reina, Janusz Rosiek, Jürgen Reuter, José Santiago, Kristaq Suxho, Lampros Trifyllis, Eleni Vryonidou, Christopher White, Cen Zhang, Hantian Zhang
We propose a procedure to cross-validate Monte Carlo implementations of the standard model effective field theory. It is based on the numerical comparison of squared amplitudes computed at specific phase-space and parameter points in pairs of implementations. Interactions are fully linearised in the effective field theory expansion. The squares of linear effective field theory amplitudes and their interference with standard-model contributions are compared separately. Such pairwise comparisons are primarily performed at tree level and a possible extension to the one-loop level is also briefly considered. We list the current standard model effective field theory implementations and the comparisons performed to date.
Andy Buckley, Philip Ilten, Dmitri Konstantinov, Leif Lönnblad, James Monk, Witold Pokorski, Tomasz Przedzinski, Andrii Verbytskyi
In high-energy physics, Monte Carlo event generators (MCEGs) are used to simulate the interactions of high energy particles. MCEG event records store the information on the simulated particles and their relationships, and thus reflects the simulated evolution of physics phenomena in each collision event. We present the HepMC3 library, a next-generation framework for MCEG event record encoding and manipulation, which builds on the functionality of its widely-used predecessors to enable more sophisticated algorithms for event-record analysis. By comparison to previous versions, the event record structure has been simplified, while adding the possibility to encode arbitrary information. The I/O functionality has been extended to support common input and output formats of various HEP MCEGs, including formats used in Fortran MCEGs, the formats established by the HepMC2 library, and binary formats such as ROOT; custom input or output handlers may also be used. HepMC3 is already supported by popular modern MCEGs and can replace the older HepMC versions in many others.
Andy Buckley, Giuseppe Callea, Andrew J. Larkowski, Simone Marzani
The jet colour ring is a novel colour tagger observable designed to separate the decay of a colour-singlet into two jets from a two-jet background in a different colour configuration. Simulation studies in the case of the production of a boosted Higgs boson decaying in two b-quarks and an associate electroweak boson, showed notable discriminator powers when comparing the jet colour ring performances with other observables. These results are opening a wide scenario for further studies.
Andy Buckley, Christoph Englert, James Ferrando, David J. Miller, Liam Moore, Michael Russell, Chris D. White
In this paper we present a global fit of beyond the Standard Model (BSM) dimension six operators relevant to the top quark sector to currently available data. Experimental measurements include parton-level top-pair and single top production from the LHC and the Tevatron. Higher order QCD corrections are modelled using differential and global K-factors, and we use novel fast-fitting techniques developed in the context of Monte Carlo event generator tuning to perform the fit. This allows us to provide new, fully correlated and model-independent bounds on new physics effects in the top sector from the most current direct hadron-collider measurements in light of the involved theoretical and experimental systematics. As a by-product, our analysis constitutes a proof-of-principle that fast fitting of theory to data is possible in the top quark sector, and paves the way for a more detailed analysis including top quark decays, detector corrections and precision observables.
Csaba Balázs, Andy Buckley, Daniel Carter, Benjamin Farmer, Martin White
We calculate Bayes factors to quantify how the feasibility of the constrained minimal supersymmetric standard model (CMSSM) has changed in the light of a series of observations. This is done in the Bayesian spirit where probability reflects a degree of belief in a proposition and Bayes' theorem tells us how to update it after acquiring new information. Our experimental baseline is the approximate knowledge that was available before LEP, and our comparison model is the Standard Model with a simple dark matter candidate. To quantify the amount by which experiments have altered our relative belief in the CMSSM since the baseline data we compute the Bayes factors that arise from learning in sequence the LEP Higgs constraints, the XENON100 dark matter constraints, the 2011 LHC supersymmetry search results, and the early 2012 LHC Higgs search results. We find that LEP and the LHC strongly shatter our trust in the CMSSM (with $M_0$ and $M_{1/2}$ below 2 TeV), reducing its posterior odds by a factor of approximately two orders of magnitude. This reduction is largely due to substantial Occam factors induced by the LEP and LHC Higgs searches.
Christian Bierlich, Andy Buckley, Jonathan Butterworth, Christian Gutschow, Leif Lonnblad, Tomasz Procter, Peter Richardson, Yoran Yeh
The Rivet toolkit is the primary mechanism for phenomenological preservation of collider-physics measurements, containing both a computational core and API for analysis implementation, and a large collection of more than a thousand preserved analyses. In this note we summarise the main changes in the new Rivet 4 major release series. These include a major generalisation and more semantically coherent model for histograms and related data objects, a thorough clean-up of inelegant and legacy observable-computation tools, and new systems for extended analysis-data, incorporation of preserved machine-learning models, and serialization for high-performance computing applications. Where these changes introduce backward-incompatible interface changes, existing analyses have been updated and indications are given on how to update new analysis routines and workflows.
The GAMBIT Collaboration, Peter Athron, Csaba Balázs, Torsten Bringmann, Andy Buckley, Marcin Chrząszcz, Jan Conrad, Jonathan M. Cornell, Lars A. Dal, Joakim Edsjö, Ben Farmer, Paul Jackson, Abram Krislock, Anders Kvellestad, Farvah Mahmoudi, Gregory D. Martinez, Antje Putze, Are Raklev, Christopher Rogan, Aldo Saavedra, Christopher Savage, Pat Scott, Nicola Serra, Christoph Weniger, Martin White
We study the seven-dimensional Minimal Supersymmetric Standard Model (MSSM7) with the new GAMBIT software framework, with all parameters defined at the weak scale. Our analysis significantly extends previous weak-scale, phenomenological MSSM fits, by adding more and newer experimental analyses, improving the accuracy and detail of theoretical predictions, including dominant uncertainties from the Standard Model, the Galactic dark matter halo and the quark content of the nucleon, and employing novel and highly-efficient statistical sampling methods to scan the parameter space. We find regions of the MSSM7 that exhibit co-annihilation of neutralinos with charginos, stops and sbottoms, as well as models that undergo resonant annihilation via both light and heavy Higgs funnels. We find high-likelihood models with light charginos, stops and sbottoms that have the potential to be within the future reach of the LHC. Large parts of our preferred parameter regions will also be accessible to the next generation of direct and indirect dark matter searches, making prospects for discovery in the near future rather good.
Andy Buckley, Christoph Englert, James Ferrando, David J. Miller, Liam Moore, Karl Nordström, Michael Russell, Chris D. White
We discuss a global fit of top quark BSM couplings, phrased in the model-independent language of higher-dimensional effective operators, to the currently available data from the LHC and Tevatron. We examine the interplay between inclusive and differential measurements, and the complementarity of LHC and Tevatron results. We conclude with a discussion of projections for improvement over LHC Run II.
Shehu S. AbdusSalam, Fruzsina J. Agocs, Benjamin C. Allanach, Peter Athron, Csaba Balázs, Emanuele Bagnaschi, Philip Bechtle, Oliver Buchmueller, Ankit Beniwal, Jihyun Bhom, Sanjay Bloor, Torsten Bringmann, Andy Buckley, Anja Butter, José Eliel Camargo-Molina, Marcin Chrzaszcz, Jan Conrad, Jonathan M. Cornell, Matthias Danninger, Jorge de Blas, Albert De Roeck, Klaus Desch, Matthew Dolan, Herbert Dreiner, Otto Eberhardt, John Ellis, Ben Farmer, Marco Fedele, Henning Flächer, Andrew Fowlie, Tomás E. Gonzalo, Philip Grace, Matthias Hamer, Will Handley, Julia Harz, Sven Heinemeyer, Sebastian Hoof, Selim Hotinli, Paul Jackson, Felix Kahlhoefer, Kamila Kowalska, Michael Krämer, Anders Kvellestad, Miriam Lucio Martinez, Farvah Mahmoudi, Diego Martinez Santos, Gregory D. Martinez, Satoshi Mishima, Keith Olive, Ayan Paul, Markus Tobias Prim, Werner Porod, Are Raklev, Janina J. Renk, Christopher Rogan, Leszek Roszkowski, Roberto Ruiz de Austri, Kazuki Sakurai, Andre Scaffidi, Pat Scott, Enrico Maria Sessolo, Tim Stefaniak, Patrick Stöcker, Wei Su, Sebastian Trojanowski, Roberto Trotta, Yue-Lin Sming Tsai, Jeriek Van den Abeele, Mauro Valli, Aaron C. Vincent, Georg Weiglein, Martin White, Peter Wienemann, Lei Wu, Yang Zhang
Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle physics, astrophysics and cosmology fall into one or both of these categories. These issues are often sidestepped with statistically unsound ad hoc methods, involving 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 procedures, suggesting where possible 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 any physicists lacking comprehensive statistical training with recommendations for reaching correct scientific conclusions, with only a modest increase in analysis burden. Our examples can be reproduced with the code publicly available at https://doi.org/10.5281/zenodo.4322283.
Jack Y. Araz, Andy Buckley, Gregor Kasieczka, Jan Kieseler, Sabine Kraml, Anders Kvellestad, Andre Lessa, Tomasz Procter, Are Raklev, Humberto Reyes-Gonzalez, Krzysztof Rolbiecki, Sezen Sekmen, Gokhan Unel
With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis preservation and reuse. The complexity of these models creates practical issues for both reporting them accurately and for ensuring the stability of their behaviours in different environments and over extended timescales. In this note we discuss the current state of affairs, highlighting specific practical issues and focusing on the most promising technical and strategic approaches to ensure trustworthy analysis-preservation. This material originated from discussions in the LHC Reinterpretation Forum and the 2023 PhysTeV workshop at Les Houches.
Jon Butterworth, Sabine Kraml, Harrison Prosper, Andy Buckley, Louie Corpe, Cristinel Diaconu, Mark Goodsell, Philippe Gras, Martin Habedank, Clemens Lange, Kati Lassila-Perini, André Lessa, Rakhi Mahbubani, Judita Mamužić, Zach Marshall, Thomas McCauley, Humberto Reyes-Gonzalez, Krzysztof Rolbiecki, Sezen Sekmen, Giordon Stark, Graeme Watt, Jonas Würzinger, Shehu AbdusSalam, Aytul Adiguzel, Amine Ahriche, Ben Allanach, Mohammad M. Altakach, Jack Y. Araz, Alexandre Arbey, Saiyad Ashanujjaman, Volker Austrup, Emanuele Bagnaschi, Sumit Banik, Csaba Balazs, Daniele Barducci, Philip Bechtle, Samuel Bein, Nicolas Berger, Tisa Biswas, Fawzi Boudjema, Jamie Boyd, Carsten Burgard, Jackson Burzynski, Jordan Byers, Giacomo Cacciapaglia, Cécile Caillol, Orhan Cakir, Christopher Chang, Gang Chen, Andrea Coccaro, Yara do Amaral Coutinho, Andreas Crivellin, Leo Constantin, Giovanna Cottin, Hridoy Debnath, Mehmet Demirci, Juhi Dutta, Joe Egan, Carlos Erice Cid, Farida Fassi, Matthew Feickert, Arnaud Ferrari, Pavel Fileviez Perez, Dillon S. Fitzgerald, Roberto Franceschini, Benjamin Fuks, Lorenz Gärtner, Kirtiman Ghosh, Andrea Giammanco, Alejandro Gomez Espinosa, Letícia M. Guedes, Giovanni Guerrieri, Christian Gütschow, Abdelhamid Haddad, Mahsana Haleem, Hassane Hamdaoui, Sven Heinemeyer, Lukas Heinrich, Ben Hodkinson, Gabriela Hoff, Cyril Hugonie, Sihyun Jeon, Adil Jueid, Deepak Kar, Anna Kaczmarska, Venus Keus, Michael Klasen, Kyoungchul Kong, Joachim Kopp, Michael Krämer, Manuel Kunkel, Bertrand Laforge, Theodota Lagouri, Eric Lancon, Peilian Li, Gabriela Lima Lichtenstein, Yang Liu, Steven Lowette, Jayita Lahiri, Siddharth Prasad Maharathy, Farvah Mahmoudi, Vasiliki A. Mitsou, Sanjoy Mandal, Michelangelo Mangano, Kentarou Mawatari, Peter Meinzinger, Manimala Mitra, Mojtaba Mohammadi Najafabadi, Sahana Narasimha, Siavash Neshatpour, Jacinto P. Neto, Mark Neubauer, Mohammad Nourbakhsh, Giacomo Ortona, Rojalin Padhan, Orlando Panella, Timothée Pascal, Brian Petersen, Werner Porod, Farinaldo S. Queiroz, Shakeel Ur Rahaman, Are Raklev, Hossein Rashidi, Patricia Rebello Teles, Federico Leo Redi, Jürgen Reuter, Tania Robens, Abhishek Roy, Subham Saha, Ahmetcan Sansar, Kadir Saygin, Nikita Schmal, Jeffrey Shahinian, Sukanya Sinha, Ricardo C. Silva, Tim Smith, Tibor Šimko, Andrzej Siodmok, Ana M. Teixeira, Tamara Vázquez Schröder, Carlos Vázquez Sierra, Yoxara Villamizar, Wolfgang Waltenberger, Peng Wang, Martin White, Kimiko Yamashita, Ekin Yoruk, Xuai Zhuang
Waleed Abdallah, Shehu AbdusSalam, Azar Ahmadov, Amine Ahriche, Gaël Alguero, Benjamin C. Allanach, Jack Y. Araz, Alexandre Arbey, Chiara Arina, Peter Athron, Emanuele Bagnaschi, Yang Bai, Michael J. Baker, Csaba Balazs, Daniele Barducci, Philip Bechtle, Aoife Bharucha, Andy Buckley, Jonathan Butterworth, Haiying Cai, Claudio Campagnari, Cari Cesarotti, Marcin Chrzaszcz, Andrea Coccaro, Eric Conte, Jonathan M. Cornell, Louie Dartmoor Corpe, Matthias Danninger, Luc Darmé, Aldo Deandrea, Nishita Desai, Barry Dillon, Caterina Doglioni, Juhi Dutta, John R. Ellis, Sebastian Ellis, Farida Fassi, Matthew Feickert, Nicolas Fernandez, Sylvain Fichet, Jernej F. Kamenik, Thomas Flacke, Benjamin Fuks, Achim Geiser, Marie-Hélène Genest, Akshay Ghalsasi, Tomas Gonzalo, Mark Goodsell, Stefania Gori, Philippe Gras, Admir Greljo, Diego Guadagnoli, Sven Heinemeyer, Lukas A. Heinrich, Jan Heisig, Deog Ki Hong, Tetiana Hryn'ova, Katri Huitu, Philip Ilten, Ahmed Ismail, Adil Jueid, Felix Kahlhoefer, Jan Kalinowski, Deepak Kar, Yevgeny Kats, Charanjit K. Khosa, Valeri Khoze, Tobias Klingl, Pyungwon Ko, Kyoungchul Kong, Wojciech Kotlarski, Michael Krämer, Sabine Kraml, Suchita Kulkarni, Anders Kvellestad, Clemens Lange, Kati Lassila-Perini, Seung J. Lee, Andre Lessa, Zhen Liu, Lara Lloret Iglesias, Jeanette M. Lorenz, Danika MacDonell, Farvah Mahmoudi, Judita Mamuzic, Andrea C. Marini, Pete Markowitz, Pablo Martinez Ruiz del Arbol, David Miller, Vasiliki Mitsou, Stefano Moretti, Marco Nardecchia, Siavash Neshatpour, Dao Thi Nhung, Per Osland, Patrick H. Owen, Orlando Panella, Alexander Pankov, Myeonghun Park, Werner Porod, Darren Price, Harrison Prosper, Are Raklev, Jürgen Reuter, Humberto Reyes-González, Thomas Rizzo, Tania Robens, Juan Rojo, Janusz A. Rosiek, Oleg Ruchayskiy, Veronica Sanz, Kai Schmidt-Hoberg, Pat Scott, Sezen Sekmen, Dipan Sengupta, Elizabeth Sexton-Kennedy, Hua-Sheng Shao, Seodong Shin, Luca Silvestrini, Ritesh Singh, Sukanya Sinha, Jory Sonneveld, Yotam Soreq, Giordon H. Stark, Tim Stefaniak, Jesse Thaler, Riccardo Torre, Emilio Torrente-Lujan, Gokhan Unel, Natascia Vignaroli, Wolfgang Waltenberger, Nicholas Wardle, Graeme Watt, Georg Weiglein, Martin J. White, Sophie L. Williamson, Jonas Wittbrodt, Lei Wu, Stefan Wunsch, Tevong You, Yang Zhang, José Zurita
Andy Buckley, Jonathan Butterworth, David Grellscheid, Hendrik Hoeth, Leif Lonnblad, James Monk, Holger Schulz, Frank Siegert
This is the manual and user guide for the Rivet system for the validation and tuning of Monte Carlo event generators for high energy physics. As well as the core Rivet library, this manual describes the usage of the rivet program and the AGILe generator interface library. The depth and level of description is chosen for users of the system, starting with the basics of using validation code written by others, and then covering sufficient details to write new Rivet analyses and calculational components.
Andy Buckley
I describe the current status of MCnet tools for validating the performance of event generator simulations against data, and for tuning their phenomenological free parameters. For validation, the Rivet toolkit is now a mature and complete system, with a large library of prominent benchmark analyses. For tuning, the Professor system has recently completed its first tunes of Pythia 6, with substantial improvements on the existing default tune and potential to greatly aid the setup of new generators for LHC studies.
The GAMBIT Collaboration, Peter Athron, Csaba Balazs, Torsten Bringmann, Andy Buckley, Marcin Chrząszcz, Jan Conrad, Jonathan M. Cornell, Lars A. Dal, Hugh Dickinson, Joakim Edsjö, Ben Farmer, Tomás E. Gonzalo, Paul Jackson, Abram Krislock, Anders Kvellestad, Johan Lundberg, James McKay, Farvah Mahmoudi, Gregory D. Martinez, Antje Putze, Are Raklev, Joachim Ripken, Christopher Rogan, Aldo Saavedra, Christopher Savage, Pat Scott, Seon-Hee Seo, Nicola Serra, Christoph Weniger, Martin White, Sebastian Wild
We describe the open-source global fitting package GAMBIT: the Global And Modular Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of observables and likelihoods in particle and astroparticle physics with a hierarchical model database, advanced tools for automatically building analyses of essentially any model, a flexible and powerful system for interfacing to external codes, a suite of different statistical methods and parameter scanning algorithms, and a host of other utilities designed to make scans faster, safer and more easily-extendible than in the past. Here we give a detailed description of the framework, its design and motivation, and the current models and other specific components presently implemented in GAMBIT. Accompanying papers deal with individual modules and present first GAMBIT results. GAMBIT can be downloaded from gambit.hepforge.org.
Csaba Balázs, Andy Buckley, Lars A. Dal, Ben Farmer, Paul Jackson, Abram Krislock, Anders Kvellestad, Daniel Murnane, Antje Putze, Are Raklev, Christopher Rogan, Aldo Saavedra, Pat Scott, Christoph Weniger, Martin White
We describe ColliderBit, a new code for the calculation of high energy collider observables in theories of physics beyond the Standard Model (BSM). ColliderBit features a generic interface to BSM models, a unique parallelised Monte Carlo event generation scheme suitable for large-scale supercomputer applications, and a number of LHC analyses, covering a reasonable range of the BSM signatures currently sought by ATLAS and CMS. ColliderBit also calculates likelihoods for Higgs sector observables, and LEP searches for BSM particles. These features are provided by a combination of new code unique to ColliderBit, and interfaces to existing state-of-the-art public codes. ColliderBit is both an important part of the GAMBIT framework for BSM inference, and a standalone tool for efficiently applying collider constraints to theories of new physics.
Todd C. Rae, Andy Buckley
A consensus is emerging that continuous (or metric) measures can be useful in phylogenetic systematics. Many of the methods for coding such characters, how- ever, employ elements that are arbitrary and therefore should be excluded from use in cladistic analysis. The continued use of such potentially inappropriate methods can be attributed to either their simplicity or the availability of computer programs specifically designed to produce data matrices using these methods. Conversely, one of the most suitable methods, homogeneous subset coding (HSC), is underused, probably due to the lack of a suitable software implementation for this somewhat complex procedure. This paper describes TaxMan, a Web-based facility for the coding of continuous data using HSC. Data are entered using a form accessible via any internet browser and are automatically converted to a matrix suitable for input into tree-searching software. This implementation of the HSC technique provides an uncomplicated procedure for the incorporation of metric data in phylogenetic systematics. The algorithmic implementation of the HSC procedure, and interpolation of the Studentised range and maximum modulus distributions required by it, is described in detail in appendices.
Andy Buckley, Jon Butterworth, Louie Corpe, Caterina Doglioni, Deepak Kar, Clarisse Prat, Sukanya Sinha, Danielle Wilson-Edwards
Semi-visible jets arise from a hypothetical, strongly interacting ``dark sector'' -- a dark counterpart of quantum chromodynamics whose partial decays back to Standard Model particles introduce new types of collider BSM signature. CMS and ATLAS have have searched for semi-visible jets in the resonant and non-resonant production modes and set constraints on mediator mass values. In this work, indirect constraints on various model parameters, such as dark hadron masses and coupling strengths, are explored using LHC measurements.
Andy Buckley
Soft QCD contributes to all observables at the LHC, due to the presences of underlying event (UE) and pile-up in all events. Both these processes are dominated by multi-parton interactions (MPI), i.e. the result of proton collisions containing more than one partonic interaction due to collective and beam remnant effects. While there is undoubtedly interesting physics involved in MPI, the primary interest of LHC experiments is to characterise and model the behaviour of UE and pile-up sufficiently well that their influence may be cleanly subtracted in the process of searching for new physics signatures at 7 TeV and beyond. I summarise the soft QCD measurements made by ATLAS using the 2010 and early 2011 datasets, and the use of this data to improve Monte Carlo generator models of MPI for use in forthcoming simulation campaigns.
Jorge de Blas, Monica Dunford, Emanuele Bagnaschi, Ayres Freitas, Pier Paolo Giardino, Christian Grefe, Michele Selvaggi, Angela Taliercio, Falk Bartels, Andrea Dainese, Cristinel Diaconu, Chiara Signorile-Signorile, Néstor Armesto, Roberta Arnaldi, Andy Buckley, David d'Enterria, Antoine Gérardin, Valentina Mantovani Sarti, Sven-Olaf Moch, Marco Pappagallo, Raimond Snellings, Urs Achim Wiedemann, Gino Isidori, Marie-Hélène Schune, Maria Laura Piscopo, Marta Calvi, Yuval Grossman, Thibaud Humair, Andreas Jüttner, Jernej F. Kamenik, Matthew Kenzie, Patrick Koppenburg, Radoslav Marchevski, Angela Papa, Guillaume Pignol, Justine Serrano, Pilar Hernandez, Sara Bolognesi, Ivan Esteban, Stephen Dolan, Valerie Domcke, Joseph Formaggio, M. C. Gonzalez-Garcia, Aart Heijboer, Aldo Ianni, Joachim Kopp, Elisa Resconi, Mark Scott, Viola Sordini, Fabio Maltoni, Rebeca Gonzalez Suarez, Benedikt Maier, Timothy Cohen, Annapaola de Cosa, Nathaniel Craig, Roberto Franceschini, Loukas Gouskos, Aurelio Juste, Sophie Renner, Lesya Shchutska, Jocelyn Monroe, Matthew McCullough, Yohei Ema, Paolo Agnes, Francesca Calore, Emanuele Castorina, Aaron Chou, Monica D'Onofrio, Maksym Ovchynnikov, Tina Pollman, Josef Pradler, Yotam Soreq, Julia Katharina Vogel, Gianluigi Arduini, Philip Burrows, Jacqueline Keintzel, Deepa Angal-Kalinin, Bernhard Auchmann, Massimo Ferrario, Angeles Faus Golfe, Roberto Losito, Anke-Susanne Mueller, Tor Raubenheimer, Marlene Turner, Pierre Vedrine, Hans Weise, Walter Wuensch, Chenghui Yu, Thomas Bergauer, Ulrich Husemann, Dorothea vom Bruch, Thea Aarrestad, Daniela Bortoletto, Shikma Bressler, Marcel Demarteau, Michael Doser, Gabriella Gaudio, Inés Gil-Botella, Andrea Giuliani, Fabrizio Palla, Rok Pestotnik, Felix Sefkow, Frank Simon, Maksym Titov, Tommaso Boccali, Borut Kersevan, Daniel Murnane, Gonzalo Merino Arevalo, John Derek Chapman, Frank-Dieter Gaede, Stefano Giagu, Maria Girone, Heather M. Gray, Giovanni Iadarola, Stephane Jezequel, Gregor Kasieczka, David Lange, Sinéad M. Ryan, Nicole Skidmore, Sofia Vallecorsa, Eric Laenen, Anadi Canepa, Xinchou Lou, Rogerio Rosenfeld, Yuji Yamazaki, Roger Forty, Karl Jakobs, Hugh Montgomery, Mike Seidel, Paris Sphicas