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A pressing problem for supersymmetry (SUSY) phenomenologists is how to incorporate Large Hadron Collider search results into parameter fits designed to measure or constrain the SUSY parameters. Owing to the computational expense of fully…

High Energy Physics - Phenomenology · Physics 2015-05-28 A. Buckley , A. Shilton , M. J. White

To gain a comprehensive view of what the LHC tells us about physics beyond the Standard Model (BSM), it is crucial that different BSM-sensitive analyses can be combined. But in general, search analyses are not statistically orthogonal, so…

High Energy Physics - Phenomenology · Physics 2023-04-19 Jack Y. Araz , Andy Buckley , Benjamin Fuks , Humberto Reyes-Gonzalez , Wolfgang Waltenberger , Sophie L. Williamson , Jamie Yellen

For the calculation of complex neutral/ionized gas phase chemical equilibria, we present a semi-analytical versatile and efficient computer program, called FastChem. The applied method is based on the solution of a system of coupled…

Earth and Planetary Astrophysics · Physics 2018-06-27 J. W. Stock , D. Kitzmann , A. B. C. Patzer , E. Sedlmayr

Experimental limits on supersymmetry and similar theories are difficult to set because of the enormous available parameter space and difficult to generalize because of the complexity of single points. Therefore, more phenomenological,…

High Energy Physics - Experiment · Physics 2012-02-21 C. Gütschow , Z. Marshall

Searches for beyond-Standard Model physics scenarios, such as supersymmetry (SUSY), at the Large Hadron Collider (LHC) are frequently optimised on simplified models. After assuming particular particle production and decay processes,…

High Energy Physics - Phenomenology · Physics 2023-05-04 Melissa van Beekveld , Philip Grace , Anders Kvellestad , Adam Leinweber , Martin White

We propose a new fast algorithm to estimate any sparse generalized linear model with convex or non-convex separable penalties. Our algorithm is able to solve problems with millions of samples and features in seconds, by relying on…

At the CMS experiment, a growing reliance on the fast Monte Carlo application (FastSim) will accompany the high luminosity and detector granularity expected in Phase 2. The FastSim chain is roughly 10 times faster than the application based…

Instrumentation and Detectors · Physics 2025-01-15 Samuel Bein , Patrick Connor , Kevin Pedro , Peter Schleper , Moritz Wolf

In the future high-luminosity LHC era, high-energy physics experiments face unprecedented computational challenges for event reconstruction. Employing the LHCb vertex locator as a case study we investigate a novel approach for charged…

Large language models (LLMs) have demonstrated exceptional proficiency in understanding and generating human language, but efficient inference on resource-constrained embedded devices remains challenging due to large model sizes and…

Hardware Architecture · Computer Science 2025-07-15 Weihong Xu , Haein Choi , Po-kai Hsu , Shimeng Yu , Tajana Rosing

Non-Intrusive Load Monitoring (NILM) is an advanced, and cost-effective technique for monitoring appliance-level energy consumption. However, its adaptability is hindered by the lack of transparency and explainability. To address this…

Systems and Control · Electrical Eng. & Systems 2025-10-17 Grigorii Gerasimov , Ilia Kamyshev , Sahar Moghimian Hoosh , Elena Gryazina , Henni Ouerdane

High-Level Synthesis allows hardware designers to create complex RTL designs using C/C++. The traditional HLS workflow involves iterations of C/C++ simulation for partial functional verification and HLS synthesis for coarse timing…

Performance · Computer Science 2023-04-25 Rishov Sarkar , Cong Hao

We discuss the simplified likelihood framework as a systematic approximation scheme for experimental likelihoods such as those originating from LHC experiments. We develop the simplified likelihood from the Central Limit Theorem keeping the…

High Energy Physics - Phenomenology · Physics 2019-05-01 Andy Buckley , Matthew Citron , Sylvain Fichet , Sabine Kraml , Wolfgang Waltenberger , Nicholas Wardle

Classifiers based on sparse representations have recently been shown to provide excellent results in many visual recognition and classification tasks. However, the high cost of computing sparse representations at test time is a major…

Computer Vision and Pattern Recognition · Computer Science 2014-10-03 Alhussein Fawzi , Mike Davies , Pascal Frossard

Line intensity mapping (LIM) is an emerging observational method to study the large-scale structure of the Universe and its evolution. LIM does not resolve individual sources but probes the fluctuations of integrated line emissions. A…

Astrophysics of Galaxies · Physics 2020-06-03 Kana Moriwaki , Nina Filippova , Masato Shirasaki , Naoki Yoshida

Evaluating LLMs and text-to-image models is a computationally intensive task often overlooked. Efficient evaluation is crucial for understanding the diverse capabilities of these models and enabling comparisons across a growing number of…

Large Vision Language Models (LVLMs) have demonstrated remarkable reasoning capabilities over textual and visual inputs. However, these models remain prone to generating misinformation. Identifying and mitigating ungrounded responses is…

Artificial Intelligence · Computer Science 2025-05-07 Gabriela Ben-Melech Stan , Estelle Aflalo , Man Luo , Shachar Rosenman , Tiep Le , Sayak Paul , Shao-Yen Tseng , Vasudev Lal

The discovery potentials of ATLAS and CMS experiments at the Large Hadron Collider (LHC) for Supersimmetry (SUSY), Extra Dimensions (ED), new Gauge Bosons and R-Hadrons are discussed. Beyond Standard-Model (BSM) searches at LHC require a…

High Energy Physics - Experiment · Physics 2011-11-10 Sebastiano Albergo

The results of many LHC searches for supersymmetric particles are interpreted using simplified models, in which one fixes the masses and couplings of most sparticles then scans over a few remaining masses of interest. We present a new…

High Energy Physics - Phenomenology · Physics 2015-06-18 James Barnard , Ben Farmer

We study tight bounds and fast algorithms for LCLMs of several linear differential operators with polynomial coefficients. We analyze the arithmetic complexity of existing algorithms for LCLMs, as well as the size of their outputs. We…

Symbolic Computation · Computer Science 2013-06-19 Alin Bostan , Frédéric Chyzak , Ziming Li , Bruno Salvy

Quantifier elimination (qelim) is used in many automated reasoning tasks including program synthesis, exist-forall solving, quantified SMT, Model Checking, and solving Constrained Horn Clauses (CHCs). Exact qelim is computationally…

Logic in Computer Science · Computer Science 2023-06-19 Isabel Garcia-Contreras , Hari Govind V K , Sharon Shoham , Arie Gurfinkel
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