K. Cranmer - DPHEP Study Group

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K. Cranmer
DPHEP Study Group

Pubs By Year

Pub Categories

High Energy Physics - Phenomenology (23)
Physics - Data Analysis; Statistics and Probability (19)
High Energy Physics - Experiment (16)
Statistics - Machine Learning (3)
Computer Science - Digital Libraries (2)
Instrumentation and Methods for Astrophysics (2)
Computer Science - Learning (2)
Physics - Physics and Society (1)
Computer Science - Computers and Society (1)
Nuclear Experiment (1)
High Energy Physics - Theory (1)
High Energy Physics - Lattice (1)
Statistics - Applications (1)
Computer Science - Neural and Evolutionary Computing (1)
High Energy Astrophysical Phenomena (1)
Physics - Instrumentation and Detectors (1)
Statistics - Methodology (1)

Publications Authored By K. Cranmer

Recent progress in applying machine learning for jet physics has been built upon an analogy between calorimeters and images. In this work, we present a novel class of recursive neural networks built instead upon an analogy between QCD and natural languages. In the analogy, four-momenta are like words and the clustering history of sequential recombination jet algorithms is like the parsing of a sentence. Read More

Information geometry can be used to understand and optimize Higgs measurements at the LHC. The Fisher information encodes the maximum sensitivity of observables to model parameters for a given experiment. Applied to higher-dimensional operators, it defines the new physics reach of any LHC signature. Read More

Many inference problems involve data generation processes that are not uniquely specified or are uncertain in some way. In a scientific context, the presence of several plausible data generation processes is often associated to the presence of systematic uncertainties. Robust inference is possible if it is based on a pivot -- a quantity whose distribution is invariant to the unknown value of the (categorical or continuous) nuisance parameters that parametrizes this family of generation processes. Read More

We investigate a new structure for machine learning classifiers applied to problems in high-energy physics by expanding the inputs to include not only measured features but also physics parameters. The physics parameters represent a smoothly varying learning task, and the resulting parameterized classifier can smoothly interpolate between them and replace sets of classifiers trained at individual values. This simplifies the training process and gives improved performance at intermediate values, even for complex problems requiring deep learning. Read More

In many fields of science, generalized likelihood ratio tests are established tools for statistical inference. At the same time, it has become increasingly common that a simulator (or generative model) is used to describe complex processes that tie parameters $\theta$ of an underlying theory and measurement apparatus to high-dimensional observations $\mathbf{x}\in \mathbb{R}^p$. However, simulator often do not provide a way to evaluate the likelihood function for a given observation $\mathbf{x}$, which motivates a new class of likelihood-free inference algorithms. Read More

This document is a pedagogical introduction to statistics for particle physics. Emphasis is placed on the terminology, concepts, and methods being used at the Large Hadron Collider. The document addresses both the statistical tests applied to a model of the data and the modeling itself. Read More

We propose a novel approach for observing cosmic rays at ultra-high energy ($>10^{18}$~eV) by repurposing the existing network of smartphones as a ground detector array. Extensive air showers generated by cosmic rays produce muons and high-energy photons, which can be detected by the CMOS sensors of smartphone cameras. The small size and low efficiency of each sensor is compensated by the large number of active phones. Read More

These reports present the results of the 2013 Community Summer Study of the APS Division of Particles and Fields ("Snowmass 2013") on the future program of particle physics in the U.S. Chapter 10, on Communication, Education, and Outreach, discusses the resources and issues for the communication of information about particle physics to teachers and students, to scientists in other fields, to policy makers, and to the general public. Read More

This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized. In just the past few years, hundreds of scholarly papers and reports have been written on questions of data sharing, data provenance, research reproducibility, licensing, attribution, privacy, and more, but our goal here is not to review that literature. Instead, we present a short guide intended for researchers who want to know why it is important to "care for and feed" data, with some practical advice on how to do that. Read More

We develop a technique to present Higgs coupling measurements, which decouple the poorly defined theoretical uncertainties associated to inclusive and exclusive cross section predictions. The technique simplifies the combination of multiple measurements and can be used in a more general setting. We illustrate the approach with toy LHC Higgs coupling measurements and a collection of new physics models. Read More


This report summarizes the work of the Energy Frontier Higgs Boson working group of the 2013 Community Summer Study (Snowmass). We identify the key elements of a precision Higgs physics program and document the physics potential of future experimental facilities as elucidated during the Snowmass study. We study Higgs couplings to gauge boson and fermion pairs, double Higgs production for the Higgs self-coupling, its quantum numbers and $CP$-mixing in Higgs couplings, the Higgs mass and total width, and prospects for direct searches for additional Higgs bosons in extensions of the Standard Model. Read More

We put forth conclusions and suggestions regarding the presentation of the LHC Higgs results that may help to maximize their impact and their utility to the whole High Energy Physics community. Read More

We present the asymptotic distribution for two-sided tests based on the profile likelihood ratio with lower and upper boundaries on the parameter of interest. This situation is relevant for branching ratios and the elements of unitary matrices such as the CKM matrix. Read More

Authors: Z. Akopov1, Silvia Amerio2, David Asner3, Eduard Avetisyan4, Olof Barring5, James Beacham6, Matthew Bellis7, Gregorio Bernardi8, Siegfried Bethke9, Amber Boehnlein10, Travis Brooks11, Thomas Browder12, Rene Brun13, Concetta Cartaro14, Marco Cattaneo15, Gang Chen16, David Corney17, Kyle Cranmer18, Ray Culbertson19, Sunje Dallmeier-Tiessen20, Dmitri Denisov21, Cristinel Diaconu22, Vitaliy Dodonov23, Tony Doyle24, Gregory Dubois-Felsmann25, Michael Ernst26, Martin Gasthuber27, Achim Geiser28, Fabiola Gianotti29, Paolo Giubellino30, Andrey Golutvin31, John Gordon32, Volker Guelzow33, Takanori Hara34, Hisaki Hayashii35, Andreas Heiss36, Frederic Hemmer37, Fabio Hernandez38, Graham Heyes39, Andre Holzner40, Peter Igo-Kemenes41, Toru Iijima42, Joe Incandela43, Roger Jones44, Yves Kemp45, Kerstin Kleese van Dam46, Juergen Knobloch47, David Kreincik48, Kati Lassila-Perini49, Francois Le Diberder50, Sergey Levonian51, Aharon Levy52, Qizhong Li53, Bogdan Lobodzinski54, Marcello Maggi55, Janusz Malka56, Salvatore Mele57, Richard Mount58, Homer Neal59, Jan Olsson60, Dmitri Ozerov61, Leo Piilonen62, Giovanni Punzi63, Kevin Regimbal64, Daniel Riley65, Michael Roney66, Robert Roser67, Thomas Ruf68, Yoshihide Sakai69, Takashi Sasaki70, Gunar Schnell71, Matthias Schroeder72, Yves Schutz73, Jamie Shiers74, Tim Smith75, Rick Snider76, David M. South77, Rick St. Denis78, Michael Steder79, Jos Van Wezel80, Erich Varnes81, Margaret Votava82, Yifang Wang83, Dennis Weygand84, Vicky White85, Katarzyna Wichmann86, Stephen Wolbers87, Masanori Yamauchi88, Itay Yavin89, Hans von der Schmitt90
Affiliations: 1DPHEP Study Group, 2DPHEP Study Group, 3DPHEP Study Group, 4DPHEP Study Group, 5DPHEP Study Group, 6DPHEP Study Group, 7DPHEP Study Group, 8DPHEP Study Group, 9DPHEP Study Group, 10DPHEP Study Group, 11DPHEP Study Group, 12DPHEP Study Group, 13DPHEP Study Group, 14DPHEP Study Group, 15DPHEP Study Group, 16DPHEP Study Group, 17DPHEP Study Group, 18DPHEP Study Group, 19DPHEP Study Group, 20DPHEP Study Group, 21DPHEP Study Group, 22DPHEP Study Group, 23DPHEP Study Group, 24DPHEP Study Group, 25DPHEP Study Group, 26DPHEP Study Group, 27DPHEP Study Group, 28DPHEP Study Group, 29DPHEP Study Group, 30DPHEP Study Group, 31DPHEP Study Group, 32DPHEP Study Group, 33DPHEP Study Group, 34DPHEP Study Group, 35DPHEP Study Group, 36DPHEP Study Group, 37DPHEP Study Group, 38DPHEP Study Group, 39DPHEP Study Group, 40DPHEP Study Group, 41DPHEP Study Group, 42DPHEP Study Group, 43DPHEP Study Group, 44DPHEP Study Group, 45DPHEP Study Group, 46DPHEP Study Group, 47DPHEP Study Group, 48DPHEP Study Group, 49DPHEP Study Group, 50DPHEP Study Group, 51DPHEP Study Group, 52DPHEP Study Group, 53DPHEP Study Group, 54DPHEP Study Group, 55DPHEP Study Group, 56DPHEP Study Group, 57DPHEP Study Group, 58DPHEP Study Group, 59DPHEP Study Group, 60DPHEP Study Group, 61DPHEP Study Group, 62DPHEP Study Group, 63DPHEP Study Group, 64DPHEP Study Group, 65DPHEP Study Group, 66DPHEP Study Group, 67DPHEP Study Group, 68DPHEP Study Group, 69DPHEP Study Group, 70DPHEP Study Group, 71DPHEP Study Group, 72DPHEP Study Group, 73DPHEP Study Group, 74DPHEP Study Group, 75DPHEP Study Group, 76DPHEP Study Group, 77DPHEP Study Group, 78DPHEP Study Group, 79DPHEP Study Group, 80DPHEP Study Group, 81DPHEP Study Group, 82DPHEP Study Group, 83DPHEP Study Group, 84DPHEP Study Group, 85DPHEP Study Group, 86DPHEP Study Group, 87DPHEP Study Group, 88DPHEP Study Group, 89DPHEP Study Group, 90DPHEP Study Group

Data from high-energy physics (HEP) experiments are collected with significant financial and human effort and are mostly unique. An inter-experimental study group on HEP data preservation and long-term analysis was convened as a panel of the International Committee for Future Accelerators (ICFA). The group was formed by large collider-based experiments and investigated the technical and organisational aspects of HEP data preservation. Read More

We present a set of recommendations for the presentation of LHC results on searches for new physics, which are aimed at providing a more efficient flow of scientific information between the experimental collaborations and the rest of the high energy physics community, and at facilitating the interpretation of the results in a wide class of models. Implementing these recommendations would aid the full exploitation of the physics potential of the LHC. Read More

Authors: G. Brooijmans, B. Gripaios, F. Moortgat, J. Santiago, P. Skands, D. Albornoz Vásquez, B. C. Allanach, A. Alloul, A. Arbey, A. Azatov, H. Baer, C. Balázs, A. Barr, L. Basso, M. Battaglia, P. Bechtle, G. Bélanger, A. Belyaev, K. Benslama, L. Bergström, A. Bharucha, C. Boehm, M. Bondarenko, O. Bondu, E. Boos, F. Boudjema, T. Bringmann, M. Brown, V. Bunichev, S. Calvet, M. Campanelli, A. Carmona, D. G. Cerdeño, M. Chala, R. S. Chivukula, D. Chowdhury, N. D. Christensen, M. Cirelli, S. Cox, K. Cranmer, J. Da Silva, T. Delahaye, A. De Roeck, A. Djouadi, E. Dobson, M. Dolan, F. Donato, G. Drieu La Rochelle, G. Duda, C. Duhr, B. Dumont, J. Edsjö, J. Ellis, C. Evoli, A. Falkowski, M. Felcini, B. Fuks, E. Gabrielli, D. Gaggero, S. Gascon-Shotkin, D. K. Ghosh, A. Giammanco, R. M. Godbole, P. Gondolo, T. Goto, D. Grasso, P. Gris, D. Guadagnoli, J. F. Gunion, U. Haisch, L. Hartgring, S. Heinemeyer, M. Hirsch, J. Hewett, A. Ismail, T. Jeltema, M. Kadastik, M. Kakizaki, K. Kannike, S. Khalil, J-L. Kneur, M. Krämer, S. Kraml, S. Kreiss, J. Lavalle, R. Leane, J. Lykken, L. Maccione, F. Mahmoudi, M. Mangano, S. P. Martin, D. Maurin, G. Moreau, S. Moretti, I. Moskalenko, G. Moultaka, M. Muhlleitner, I. Niessen, B. O'Leary, E. Orlando, P. Panci, G. Polesello, W. Porod, T. Porter, S. Profumo, H. Prosper, A. Pukhov, A. Racioppi, M. Raidal, M. Rausch de Traubenberg, A. Renaud, J. Reuter, T. G. Rizzo, T. Robens, A. Y. Rodríguez-Marrero, P. Salati, C. Savage, P. Scott, S. Sekmen, A. Semenov, C. -L. Shan, C. Shepherd-Themistocleous, E. H. Simmons, P. Slavich, C. Speckner, F. Staub, A. Strong, R. Taillet, F. S. Thomas, M. C. Thomas, I. Tomalin, M. Tytgat, M. Ughetto, L. Valéry, D. G. E. Walker, A. Weiler, S. M. West, C. D. White, A. J. Williams, A. Wingerter, C. Wymant, J. -H. Yu, C. -P. Yuan, D. Zerwas

We present the activities of the "New Physics" working group for the "Physics at TeV Colliders" workshop (Les Houches, France, 30 May-17 June, 2011). Our report includes new agreements on formats for interfaces between computational tools, new tool developments, important signatures for searches at the LHC, recommendations for presentation of LHC search results, as well as additional phenomenological studies. Read More

We present a search at Jefferson Laboratory for new forces mediated by sub-GeV vector bosons with weak coupling $\alpha'$ to electrons. Such a particle $A'$ can be produced in electron-nucleus fixed-target scattering and then decay to an $e^+e^-$ pair, producing a narrow resonance in the QED trident spectrum. Using APEX test run data, we searched in the mass range 175--250 MeV, found no evidence for an $A'\to e^+e^-$ reaction, and set an upper limit of $\alpha'/\alpha \simeq 10^{-6}$. Read More

We present recent results aiming at assessing the coverage properties of Bayesian and frequentist inference methods, as applied to the reconstruction of supersymmetric parameters from simulated LHC data. We discuss the statistical challenges of the reconstruction procedure, and highlight the algorithmic difficulties of obtaining accurate profile likelihood estimates. Read More

We propose a method for setting limits that avoids excluding parameter values for which the sensitivity falls below a specified threshold. These "power-constrained" limits (PCL) address the issue that motivated the widely used CLs procedure, but do so in a way that makes more transparent the properties of the statistical test to which each value of the parameter is subjected. A case of particular interest is for upper limits on parameters that are proportional to the cross section of a process whose existence is not yet established. Read More

Statistical inference of the fundamental parameters of supersymmetric theories is a challenging and active endeavor. Several sophisticated algorithms have been employed to this end. While Markov-Chain Monte Carlo (MCMC) and nested sampling techniques are geared towards Bayesian inference, they have also been used to estimate frequentist confidence intervals based on the profile likelihood ratio. Read More

We assess the coverage properties of confidence and credible intervals on the CMSSM parameter space inferred from a Bayesian posterior and the profile likelihood based on an ATLAS sensitivity study. In order to make those calculations feasible, we introduce a new method based on neural networks to approximate the mapping between CMSSM parameters and weak-scale particle masses. Our method reduces the computational effort needed to sample the CMSSM parameter space by a factor of ~ 10^4 with respect to conventional techniques. Read More

Searches for new physics by experimental collaborations represent a significant investment in time and resources. Often these searches are sensitive to a broader class of models than they were originally designed to test. We aim to extend the impact of existing searches through a technique we call 'recasting'. Read More

RooStats is a project to create advanced statistical tools required for the analysis of LHC data, with emphasis on discoveries, confidence intervals, and combined measurements. The idea is to provide the major statistical techniques as a set of C++ classes with coherent interfaces, so that can be used on arbitrary model and datasets in a common way. The classes are built on top of the RooFit package, which provides functionality for easily creating probability models, for analysis combinations and for digital publications of the results. Read More

We describe likelihood-based statistical tests for use in high energy physics for the discovery of new phenomena and for construction of confidence intervals on model parameters. We focus on the properties of the test procedures that allow one to account for systematic uncertainties. Explicit formulae for the asymptotic distributions of test statistics are derived using results of Wilks and Wald. Read More

Authors: The ATLAS Collaboration, G. Aad, E. Abat, B. Abbott, J. Abdallah, A. A. Abdelalim, A. Abdesselam, O. Abdinov, B. Abi, M. Abolins, H. Abramowicz, B. S. Acharya, D. L. Adams, T. N. Addy, C. Adorisio, P. Adragna, T. Adye, J. A. Aguilar-Saavedra, M. Aharrouche, S. P. Ahlen, F. Ahles, A. Ahmad, H. Ahmed, G. Aielli, T. Akdogan, T. P. A. Akesson, G. Akimoto, M. S. Alam, M. A. Alam, J. Albert, S. Albrand, M. Aleksa, I. N. Aleksandrov, F. Alessandria, C. Alexa, G. Alexander, G. Alexandre, T. Alexopoulos, M. Alhroob, G. Alimonti, J. Alison, M. Aliyev, P. P. Allport, S. E. Allwood-Spiers, A. Aloisio, R. Alon, A. Alonso, J. Alonso, M. G. Alviggi, K. Amako, P. Amaral, C. Amelung, V. V. Ammosov, A. Amorim, G. Amoros, N. Amram, C. Anastopoulos, C. F. Anders, K. J. Anderson, A. Andreazza, V. Andrei, M-L. Andrieux, X. S. Anduaga, F. Anghinolfi, A. Antonaki, M. Antonelli, S. Antonelli, B. Antunovic, F. A. Anulli, G. Arabidze, I. Aracena, Y. Arai, A. T. H. Arce, J. P. Archambault, S. Arfaoui, J-F. Arguin, T. Argyropoulos, E. Arik, M. Arik, A. J. Armbruster, O. Arnaez, C. Arnault, A. Artamonov, D. Arutinov, M. Asai, S. Asai, S. Ask, B. Asman, D. Asner, L. Asquith, K. Assamagan, A. Astbury, A. Astvatsatourov, T. Atkinson, G. Atoian, B. Auerbach, E. Auge, K. Augsten, M. A. Aurousseau, N. Austin, G. Avolio, R. Avramidou, A. Axen, C. Ay, G. Azuelos, Y. Azuma, M. A. Baak, G. Baccaglioni, C. Bacci, H. Bachacou, K. Bachas, M. Backes, E. Badescu, P. Bagnaia, Y. Bai, D. C. Bailey, J. T. Baines, O. K. Baker, F. Baltasar Dos Santos Pedrosa, E. Banas, S. Banerjee, D. Banfi, A. Bangert, V. Bansal, S. P. Baranov, S. Baranov, A. Barashkou, T. B. Barber, E. L. Barberio, D. Barberis, M. B. Barbero, D. Y. Bardin, T. Barillari, M. Barisonzi, T. Barklow, N. B. Barlow, B. M. Barnett, R. M. Barnett, S. Baron, A. Baroncelli, A. J. Barr, F. Barreiro, J. Barreiro Guimaraes da Costa, P. Barrillon, R. Bartoldus, D. Bartsch, J. Bastos, R. L. Bates, J. R. Batley, A. Battaglia, M. Battistin, F. Bauer, M. Bazalova, B. Beare, P. H. Beauchemin, R. B. Beccherle, N. Becerici, P. Bechtle, G. A. Beck, H. P. Beck, M. Beckingham, K. H. Becks, I. Bedajanek, A. J. Beddall, A. Beddall, P. Bednar, V. A. Bednyakov, C. Bee, S. Behar Harpaz, P. K. Behera, M. Beimforde, C. Belanger-Champagne, P. J. Bell, W. H. Bell, G. Bella, L. Bellagamba, F. Bellina, M. Bellomo, A. Belloni, K. Belotskiy, O. Beltramello, S. Ben Ami, O. Benary, D. Benchekroun, M. Bendel, B. H. Benedict, N. Benekos, Y. Benhammou, G. P. Benincasa, D. P. Benjamin, M. Benoit, J. R. Bensinger, K. Benslama, S. Bentvelsen, M. Beretta, D. Berge, E. Bergeaas Kuutmann, N. Berger, F. Berghaus, E. Berglund, J. Beringer, K. Bernardet, P. Bernat, R. Bernhard, C. Bernius, T. Berry, A. Bertin, N. Besson, S. Bethke, R. M. Bianchi, M. Bianco, O. Biebel, J. Biesiada, M. Biglietti, H. Bilokon, S. Binet, A. Bingul, C. Bini, C. Biscarat, M. Bischofberger, U. Bitenc, K. M. Black, R. E. Blair, G. Blanchot, C. Blocker, J. Blocki, A. Blondel, W. Blum, U. Blumenschein, C. Boaretto, G. J. Bobbink, A. Bocci, B. Bodine, J. Boek, N. Boelaert, S. Boeser, J. A. Bogaerts, A. Bogouch, C. Bohm, J. Bohm, V. Boisvert, T. Bold, V. Boldea, V. G. Bondarenko, M. Bondioli, M. Boonekamp, C. N. Booth, P. S. L. Booth, J. R. A. Booth, A. Borisov, G. Borissov, I. Borjanovic, S. Borroni, K. Bos, D. Boscherini, M. Bosman, M. Bosteels, H. Boterenbrood, J. Bouchami, J. Boudreau, E. V. Bouhova-Thacker, C. Boulahouache, C. Bourdarios, J. Boyd, I. R. Boyko, A. Braem, P. Branchini, G. W. Brandenburg, A. Brandt, O. Brandt, U. Bratzler, J. E. Brau, H. M. Braun, B. Brelier, J. Bremer, R. Brenner, S. Bressler, D. Breton, N. D. Brett, D. Britton, F. M. Brochu, I. Brock, R. Brock, E. Brodet, F. Broggi, G. Brooijmans, W. K. Brooks, E. Brubaker, P. A. Bruckman de Renstrom, D. Bruncko, R. Bruneliere, S. Brunet, A. Bruni, G. Bruni, M. Bruschi, T. Buanes, F. B. Bucci, P. Buchholz, A. G. Buckley, I. A. Budagov, V. Buescher, L. Bugge, F. Bujor, O. Bulekov, M. Bunse, T. Buran, H. Burckhart, S. Burdin, S. Burke, E. Busato, C. P. Buszello, F. Butin, B. Butler, J. M. Butler, C. M. Buttar, J. M. Butterworth, T. Byatt, S. Cabrera Urban, D. Caforio, O. Cakir, P. Calafiura, G. Calderini, R. Calkins, L. P. Caloba, R. Caloi, D. Calvet, P. Camarri, M. Cambiaghi, D. Cameron, F. Campabadal Segura, S. Campana, M. Campanelli, V. Canale, J. Cantero, M. D. M. Capeans Garrido, I. Caprini, M. Caprini, M. Capua, R. Caputo, C. Caramarcu, R. Cardarelli, T. Carli, G. Carlino, L. Carminati, B. Caron, S. Caron, S. Carron Montero, A. A. Carter, J. R. Carter, J. Carvalho, D. Casadei, M. P. Casado, M. Cascella, C. Caso, A. M. Castaneda Hernadez, E. Castaneda Miranda, V. Castillo Gimenez, N. F. Castro, G. Cataldi, A. Catinaccio, J. R. Catmore, A. Cattai, G. Cattani, S. Caughron, D. Cauz, P. Cavalleri, D. Cavalli, M. Cavalli-Sforza, V. Cavasinni, A. Cazzato, F. Ceradini, A. S. Cerqueira, A. Cerri, L. Cerrito, F. Cerutti, S. A. Cetin, F. Cevenini, A. C. Chafaq, D. Chakraborty, J. D. Chapman, J. W. Chapman, E. C. Chareyre, D. G. Charlton, S. C. Chatterjii, S. Cheatham, S. Chekanov, S. V. Chekulaev, G. A. Chelkov, H. Chen, T. Chen, X. Chen, S. Cheng, T. L. Cheng, A. Cheplakov, V. F. Chepurnov, R. Cherkaoui El Moursli, V. Tcherniatine, D. Chesneanu, E. Cheu, S. L. Cheung, L. Chevalier, F. Chevallier, V. Chiarella, G. Chiefari, L. Chikovani, J. T. Childers, A. Chilingarov, G. Chiodini, S. Chouridou, D. Chren, I. A. Christidi, A. Christov, D. Chromek-Burckhart, M. L. Chu, J. Chudoba, G. Ciapetti, A. K. Ciftci, R. Ciftci, V. Cindro, M. D. Ciobotaru, C. Ciocca, A. Ciocio, M. Cirilli, M. Citterio, A. Clark, W. Cleland, J. C. Clemens, B. Clement, C. Clement, D. Clements, Y. Coadou, M. Cobal, A. Coccaro, J. Cochran, S. Coelli, J. Coggeshall, E. Cogneras, C. D. Cojocaru, J. Colas, B. Cole, A. P. Colijn, C. Collard, N. J. Collins, C. Collins-Tooth, J. Collot, G. Colon, R. Coluccia, P. Conde Muino, E. Coniavitis, M. Consonni, S. Constantinescu, C. Conta, F. Conventi, J. Cook, M. Cooke, B. D. Cooper, N. J. Cooper-Smith, K. Copic, T. Cornelissen, M. Corradi, F. C. Corriveau, A. Corso-Radu, A. Cortes-Gonzalez, G. Costa, M. J. Costa, D. Costanzo, T. Costin, D. Cote, R. Coura Torres, L. Courneyea, G. Cowan, C. C. Cowden, B. E. Cox, K. Cranmer, J. Cranshaw, M. Cristinziani, G. Crosetti, R. C. Crupi, S. Crepe-Renaudin, C. -M. Cuciuc, C. Cuenca Almenar, M. Curatolo, C. J. Curtis, P. Cwetanski, Z. Czyczula, S. D'Auria, M. D'Onofrio, A. D'Orazio, A. Da Rocha Gesualdi Mello, P. V. M. Da Silva, C. V. Da Via, W. Dabrowski, T. Dai, C. Dallapiccola, S. J. Dallison, C. H. Daly, M. Dam, H. O. Danielsson, D. Dannheim, V. Dao, G. Darbo, W. D. Davey, T. Davidek, N. Davidson, R. Davidson, A. R. Davison, I. Dawson, J. W. Dawson, R. K. Daya, K. De, R. de Asmundis, S. De Castro, P. E. De Castro Faria Salgado, S. De Cecco, N. De Groot, P. de Jong, E. De La Cruz-Burelo, C. De La Taille, L. De Mora, M. De Oliveira Branco, D. De Pedis, A. De Salvo, U. De Sanctis, A. De Santo, J. B. De Vivie De Regie, G. De Zorzi, S. Dean, G. Dedes, D. V. Dedovich, P. O. Defay, J. Degenhardt, M. Dehchar, C. Del Papa, J. Del Peso, T. Del Prete, A. Dell'Acqua, L. Dell'Asta, M. Della Pietra, D. della Volpe, M. Delmastro, N. Delruelle, P. A. Delsart, S. Demers, M. Demichev, B. Demirkoz, W. Deng, S. P. Denisov, C. Dennis, F. Derue, P. Dervan, K. K. Desch, P. O. Deviveiros, A. Dewhurst, R. Dhullipudi, A. Di Ciaccio, L. Di Ciaccio, A. Di Domenico, A. Di Girolamo, B. Di Girolamo, S. Di Luise, A. Di Mattia, R. Di Nardo, A. Di Simone, R. Di Sipio, M. A. Diaz, E. B. Diehl, J. Dietrich, S. Diglio, K. Dindar Yagci, D. J. Dingfelder, C. Dionisi, P. Dita, S. Dita, F. Dittus, F. Djama, R. Djilkibaev, T. Djobava, M. A. B. do Vale, M. Dobbs, R. Dobinson, D. Dobos, E. Dobson, M. Dobson, O. B. Dogan, T. Doherty, Y. Doi, J. Dolejsi, I. Dolenc, Z. Dolezal, B. A. Dolgoshein, M. Donega, J. Donini, T. Donszelmann, J. Dopke, D. E. Dorfan, A. Doria, A. Dos Anjos, M. Dosil, A. 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Pantea, M. Panuskova, V. Paolone, Th. D. Papadopoulou, W. Park, M. A. Parker, S. Parker, F. Parodi, J. A. Parsons, U. Parzefall, E. Pasqualucci, G. Passardi, A. Passeri, F. Pastore, Fr. Pastore, S. Pataraia, J. R. Pater, S. Patricelli, P. Patwa, T. Pauly, L. S. Peak, M. Pecsy, M. I. Pedraza Morales, S. V. Peleganchuk, H. Peng, R. Pengo, J. Penwell, M. Perantoni, A. Pereira, K. Perez, E. Perez Codina, V. Perez Reale, L. Perini, H. Pernegger, R. Perrino, P. Perrodo, P. Perus, V. D. Peshekhonov, B. A. Petersen, J. Petersen, T. C. Petersen, C. Petridou, E. Petrolo, F. Petrucci, R. Petti, R. Pezoa, M. Pezzetti, B. Pfeifer, A. Phan, A. W. Phillips, G. Piacquadio, M. Piccinini, R. Piegaia, S. Pier, J. E. Pilcher, A. D. Pilkington, J. Pina, J. L. Pinfold, J. Ping, B. Pinto, O. Pirotte, C. Pizio, R. Placakyte, M. Plamondon, W. G. Plano, M. -A. Pleier, A. Poblaguev, F. Podlyski, P. Poffenberger, L. Poggioli, M. Pohl, F. Polci, G. Polesello, A. Policicchio, A. Polini, J. P. Poll, V. 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Reljic, C. Rembser, Z. Ren, P. Renkel, S. Rescia, M. Rescigno, S. Resconi, B. Resende, E. Rezaie, P. Reznicek, A. Richards, R. A. Richards, R. Richter, E. Richter-Was, M. Ridel, S. Rieke, M. Rijpstra, M. Rijssenbeek, A. Rimoldi, R. R. Rios, C. Risler, I. Riu, G. Rivoltella, F. Rizatdinova, K. Roberts, S. H. Robertson, A. Robichaud-Veronneau, D. Robinson, A. Robson, J. G. Rocha de Lima, C. Roda, D. Rodriguez, Y. Rodriguez, S. Roe, O. Rohne, V. Rojo, S. Rolli, A. Romaniouk, V. M. Romanov, G. Romeo, D. Romero, L. Roos, E. Ros, S. Rosati, G. A. Rosenbaum, E. I. Rosenberg, L. Rosselet, L. P. Rossi, M. Rotaru, J. Rothberg, I. Rottlaender, D. Rousseau, C. R. Royon, A. Rozanov, Y. Rozen, B. Ruckert, N. Ruckstuhl, V. I. Rud, G. Rudolph, F. Ruehr, F. Ruggieri, A. Ruiz-Martinez, V. Rumiantsev, L. Rumyantsev, N. A. Rusakovich, D. R. Rust, J. P. Rutherfoord, C. Ruwiedel, P. Ruzicka, Y. F. Ryabov, V. Ryadovikov, P. Ryan, A. M. Rybin, G. Rybkin, S. Rzaeva, A. F. Saavedra, H. F-W. Sadrozinski, R. Sadykov, H. Sakamoto, G. Salamanna, A. Salamon, M. Saleem, D. Salihagic, A. Salnikov, J. Salt, B. M. Salvachua Ferrando, D. Salvatore, F. Salvatore, A. Salzburger, D. Sampsonidis, B. H. Samset, M. A. Sanchis Lozano, H. Sandaker, H. G. Sander, M. Sandhoff, S. Sandvoss, D. P. C. Sankey, B. Sanny, A. Sansoni, C. Santamarina Rios, L. Santi, C. Santoni, R. Santonico, D. Santos, J. G. Saraiva, T. Sarangi, F. Sarri, O. Sasaki, T. Sasaki, N. Sasao, I. Satsounkevitch, G. Sauvage, P. Savard, A. Y. Savine, V. Savinov, L. Sawyer, D. H. Saxon, L. P. Says, C. Sbarra, A. Sbrizzi, D. A. Scannicchio, J. Schaarschmidt, P. Schacht, U. Schaefer, S. Schaetzel, A. C. Schaffer, D. Schaile, R. Schamberger, A. G. Schamov, V. A. Schegelsky, M. Schernau, M. I. Scherzer, C. Schiavi, J. Schieck, M. Schioppa, S. Schlenker, J. L. Schlereth, P. Schmid, M. P. Schmidt, C. Schmitt, M. Schmitz, M. Schott, D. Schouten, J. Schovancova, M. Schram, A. Schreiner, M. S. Schroers, S. Schuh, G. Schuler, J. Schultes, H-C. Schultz-Coulon, J. Schumacher, M. Schumacher, B. S. Schumm, Ph. Schune, C. S. Schwanenberger, A. Schwartzman, Ph. Schwemling, R. Schwienhorst, R. Schwierz, J. Schwindling, W. G. Scott, E. Sedykh, E. Segura, S. C. Seidel, A. Seiden, F. S. Seifert, J. M. Seixas, G. Sekhniaidze, D. M. Seliverstov, B. Sellden, M. Seman, N. Semprini-Cesari, C. Serfon, L. Serin, R. Seuster, H. Severini, M. E. Sevior, A. Sfyrla, L. Shan, J. T. Shank, M. Shapiro, P. B. Shatalov, L. Shaver, C. Shaw, K. S. Shaw, D. Sherman, P. Sherwood, A. Shibata, M. Shimojima, T. Shin, A. Shmeleva, M. J. Shochet, M. A. Shupe, P. Sicho, A. Sidoti, A. Siebel, M. Siebel, J. Siegrist, D. Sijacki, O. Silbert, J. Silva, S. B. Silverstein, V. Simak, Lj. Simic, S. Simion, B. Simmons, M. Simonyan, P. Sinervo, V. Sipica, G. Siragusa, A. N. Sisakyan, S. Yu. Sivoklokov, J. Sjolin, P. Skubic, N. Skvorodnev, T. Slavicek, K. Sliwa, J. Sloper, T. Sluka, V. Smakhtin, S. Yu. Smirnov, Y. Smirnov, L. N. Smirnova, O. Smirnova, B. C. Smith, K. M. 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A detailed study is presented of the expected performance of the ATLAS detector. The reconstruction of tracks, leptons, photons, missing energy and jets is investigated, together with the performance of b-tagging and the trigger. The physics potential for a variety of interesting physics processes, within the Standard Model and beyond, is examined. Read More

Previous LHC forecasts for the constrained minimal supersymmetric standard model (CMSSM), based on current astrophysical and laboratory measurements, have used priors that are flat in the parameter tan beta, while being constrained to postdict the central experimental value of MZ. We construct a different, new and more natural prior with a measure in mu and B (the more fundamental MSSM parameters from which tan beta and MZ are actually derived). We find that as a consequence this choice leads to a well defined fine-tuning measure in the parameter space. Read More

We present a new way to define and compute the maximum significance achievable for signal and background processes at the LHC, using all available phase space information. As an example, we show that a light Higgs boson produced in weak--boson fusion with a subsequent decay into muons can be extracted from the backgrounds. The method, aimed at phenomenological studies, can be incorporated in parton--level event generators and accommodate parametric descriptions of detector effects for selected observables. Read More

The expected sensitivity of the LHC experiments to the discovery of the Higgs boson and the measurement of its properties is presented in the context of both the standard model and the its minimal supersymmetric extension. Prospects for a luminosity-upgraded ``Super-LHC'' are also presented. Read More

Because the emphasis of the LHC is on 5 sigma discoveries and the LHC environment induces high systematic errors, many of the common statistical procedures used in High Energy Physics are not adequate. I review the basic ingredients of LHC searches, the sources of systematics, and the performance of several methods. Finally, I indicate the methods that seem most promising for the LHC and areas that are in need of further study. Read More

Theoretical progress in Higgs boson production and background processes is discussed with particular emphasis on QCD corrections at and beyond next-to-leading order as well as next-to-leading order electroweak corrections. The residual theoretical uncertainties of the investigated processes are estimated in detail. Moreover, recent investigations of the MSSM Higgs sector and other extensions of the SM Higgs sector are presented. Read More

The potential for the discovery of a Standard Model Higgs boson in the mass range m_H < 2 m_Z in the vector boson fusion mode has been studied for the ATLAS experiment at the LHC. The characteristic signatures of additional jets in the forward regions of the detector and of low jet activity in the central region allow for an efficient background rejection. Analyses for the H -> WW and H -> tau tau decay modes have been performed using a realistic simulation of the expected detector performance. Read More

We present a novel multivariate classification technique based on Genetic Programming. The technique is distinct from Genetic Algorithms and offers several advantages compared to Neural Networks and Support Vector Machines. The technique optimizes a set of human-readable classifiers with respect to some user-defined performance measure. Read More

We report on the potential for the discovery of a Standard Model Higgs boson with the vector boson fusion mechanism in the mass range $115Read More

The sensitivity of the ATLAS experiment to low mass SM Higgs produced via Vector Boson Fusion mechanism with $H\to \gamma\gamma$ is invest igated. A cut based event selection has been chosen to optimize the expected signal significance with this decay mode. A signal significance of 2. Read More

We examine computational, conceptual, and philosophical issues in moving the statistical techniques used in the LEP Higgs working group to the LHC. Read More

We consider the standard Neyman-Pearson hypothesis test of a signal-plus-background hypothesis and background-only hypothesis in the presence of uncertainty on the background-only prediction. Surprisingly, this problem has not been addressed in the recent conferences on statistical techniques in high-energy physics -- although the its confidence-interval equivalent has been. We discuss the issues of power, similar tests, coverage, and ordering rules. Read More

Multivariate Analysis is an increasingly common tool in experimental high energy physics; however, many of the common approaches were borrowed from other fields. We clarify what the goal of a multivariate algorithm should be for the search for a new particle and compare different approaches. We also translate the Neyman-Pearson theory into the language of statistical learning theory. Read More

Higher order corrections to the Higgs and the non-resonant ZZ production at the LHC are evaluated within the context of the H->4l analysis for Higgs masses 1204l modes is re-evaluated. Read More

Kernel Estimation provides an unbinned and non-parametric estimate of the probability density function from which a set of data is drawn. In the first section, after a brief discussion on parametric and non-parametric methods, the theory of Kernel Estimation is developed for univariate and multivariate settings. The second section discusses some of the applications of Kernel Estimation to high-energy physics. Read More