scholarly journals Creativity and modelling the measurement process of the Higgs self-coupling at the LHC and HL-LHC

Synthese ◽  
2021 ◽  
Author(s):  
Sophie Ritson

AbstractThis paper provides an account of the nature of creativity in high-energy physics experiments through an integrated historical and philosophical study of the current and planned attempts to measure the self-coupling of the Higgs boson by two experimental collaborations (ATLAS and CMS) at the Large Hadron Collider (LHC) and the planned High Luminosity Large Hadron Collider (HL-LHC). A notion of creativity is first identified broadly as an increase in the epistemic value of a measurement outcome from an unexpected transformation, and narrowly as a condition for knowledge of the measurement of the self-coupling of the Higgs. Drawing upon Tal’s model-based epistemology of measurement (2012) this paper shows how without change to ‘readings’ (or ‘instrument indicators’) a transformation to the model of the measurement process can increase the epistemic value of the measurement outcome. Such transformations are attributed to the creativity of the experimental collaboration. Creativity, in this context, is both a product, a creative and improved model, and the distributed collaborative process of transformation to the model of the measurement process. For the case of the planned measurements at the HL-LHC, where models of the measurement process perform the epistemic function of prediction, creativity is included in the models of the measurement process, both as projected quantified creativity and as an assumed property of the future collaborations.

2011 ◽  
Vol 26 (05) ◽  
pp. 309-317
Author(s):  
◽  
DAN GREEN

The Large Hadron Collider (LHC) began 7 TeV C.M. energy operation in April, 2010. The CMS experiment immediately analyzed the earliest data taken in order to "rediscover" the Standard Model (SM) of high energy physics. By the late summer, all SM particles were observed and CMS began to search for physics beyond the SM and beyond the present limits set at the Fermilab Tevatron. The first LHC run ended in Dec., 2010 with a total integrated luminosity of about 45 pb-1 delivered to the experiments.


2020 ◽  
Vol 245 ◽  
pp. 07018
Author(s):  
Bruno Hoeft ◽  
Samuel Ambroj Pérez ◽  
Magnus Bergroth ◽  
Michael O’Connor ◽  
Richard Cziva

This paper explores the methods and results confirming the baseline assumption that LHCONE[1] (Large Hadron Collider Open Network Environment) traffic is science traffic. The LHCONE is a network conceived to support globally distributed collaborative science. LHCONE connects thousands of researchers to Large Hadron Collider (LHC) datasets at hundreds of universities and labs performing analysis within the global collaboration on high-energy physics. It is “Open” to all levels of the LHC as well as a short list of approved non-LHC science collaborations. LHCONE satisfies the need for a high performance global data transfer network of supporting scientific analysis. Even though LHCONE is a closed virtual private network, packets from non-LHCONE sites were found within the network on multiple occasions. This paper describes the findings, discusses the reasons and proposes some ideas on how to prevent “unroutable LHCONE packets” in order to maintain trust and integrity within the network.


2008 ◽  
Vol 01 (01) ◽  
pp. 99-120 ◽  
Author(s):  
D. A. Edwards ◽  
H. T. Edwards

The purpose of this article is to outline the development of particle colliders from their inception just over a half-century ago, expand on today's achievements, and remark on the potential of coming years. There are three main sections, entitled "Past," "Present," and "Future." "Past" starts with the electron and electron–positron colliders of the 1950s, continues through the proton rings at CERN, and concludes with LEP. Technology development enters the section Present, "which includes not only the major colliders in both the lepton and baryon worlds, but also recognition of the near-immediate entry of the Large Hadron Collider. "Future" looks at the next potential steps, the most prominent of which is an electron–positron partner to the LHC, but there are other very interesting propositions undergoing exploration that include muon storage and even conceivably departure from reliance on radio frequency acceleration.


Author(s):  
Erik C. Hofer ◽  
Shawn McKee ◽  
Jeremy P. Birnholtz ◽  
Paul Avery

2013 ◽  
Vol 28 (31) ◽  
pp. 1330052 ◽  
Author(s):  
VASILIKI A. MITSOU

Dark matter remains one of the most puzzling mysteries in Fundamental Physics of our times. Experiments at high-energy physics colliders are expected to shed light to its nature and determine its properties. This review focuses on recent searches for dark matter signatures at the Large Hadron Collider, also discussing related prospects in future e+e- colliders.


2021 ◽  
Vol 251 ◽  
pp. 03051
Author(s):  
Ali Hariri ◽  
Darya Dyachkova ◽  
Sergei Gleyzer

Accurate and fast simulation of particle physics processes is crucial for the high-energy physics community. Simulating particle interactions with the detector is both time consuming and computationally expensive. With its proton-proton collision energy of 13 TeV, the Large Hadron Collider is uniquely positioned to detect and measure the rare phenomena that can shape our knowledge of new interactions. The High-Luminosity Large Hadron Collider (HLLHC) upgrade will put a significant strain on the computing infrastructure and budget due to increased event rate and levels of pile-up. Simulation of highenergy physics collisions needs to be significantly faster without sacrificing the physics accuracy. Machine learning approaches can offer faster solutions, while maintaining a high level of fidelity. We introduce a graph generative model that provides effiective reconstruction of LHC events on the level of calorimeter deposits and tracks, paving the way for full detector level fast simulation.


2016 ◽  
Vol 31 (36) ◽  
pp. 1630062
Author(s):  
Dan Green

The demise of the SSC in the U.S. created an upheaval in the U.S. high energy physics (HEP) community. The subsequent redirection of HEP efforts to the CERN Large Hadron Collider (LHC) can perhaps be seen as informing on possible future paths for worldwide collaboration on future HEP megaprojects.


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