1,721,338 research outputs found
Know your footprint - evaluation of the professional carbon footprint for individual researchers in high energy physics and related fields
No full textWith the ever-increasing requirement for sustainability in the modern age, it is crucial to understand the environmental impact of High Energy Physics (HEP) and related fields, especially considering the field's high resource consumption. This talk attempts to quantify the carbon footprints associated with four categories: Experiment, corresponding to the large infrastructure within HEP collaborations; Institute, accounting for the emissions from research institutes and universities; Computing, covering the resource consumption for data analysis and running simulations; and Travel, accommodating business trips for conferences, workshops, and meetings. A survey for self-evaluation was devised based on these studies, enabling colleagues to estimate their professional footprint. The Know your footprint campaign aims to raise awareness, identify the dominant contributing factors to the HEP-related footprint, and motivate the community to move towards more sustainable research practices
Searches of Lepton-Flavour-Violating Decays of the Higgs Boson with the ATLAS Detector at the HL-LHC
No full textThese proceedings presents a study of the prospects of searches for lepton-flavour-violating decays of the Higgs boson into and final states with of proton-proton collisions at using the ATLAS detector at the HL-LHC. The expected HL-LHC results are estimated by extrapolating the recently published ATLAS search in the Run-2 dataset to the HL-LHC conditions, accounting for, among others, the potential reduction of uncertainties associated with particle reconstruction with the upgraded ATLAS detector, and predictions for better theoretical precision. The signatures of and are treated as independent signals, and two independent approaches of the background estimation are employed and compared
Searches of Lepton-Flavour-Violating Decays of the Higgs Boson with the ATLAS Detector at the HL-LHC
No full textThis talk presents a study of the prospects of searches for lepton-flavour-violating decays of the Higgs boson into e tau and mu tau final states with 3000 fb-1 of proton-proton collisions at sqrt(s) = 14 TeV using the ATLAS detector at the HL-LHC. The expected HL-LHC results are estimated by extrapolating the recently published ATLAS search in the Run 2 dataset to the HL-LHC conditions, accounting for, among others, the increase in the integrated luminosity and the potential reduction of uncertainties associated with particle reconstruction with the upgraded ATLAS detector. The signatures H->e tau and H->mu tau are treated as independent signals, and two independent approaches of the background estimation are employed and compared
Know your footprint!
No full textWith the ever-increasing requirement for sustainability in the modern age, it is crucial to understand the environmental impact of High Energy Physics (HEP) and related fields, especially considering the field's high resource consumption. This workshop provides details on the quantification made to estimate the carbon footprints associated with four categories: Experiment, corresponding to the large infrastructure within HEP collaborations; Institute, accounting for the emissions from research institutes and universities; Computing, covering the resource consumption for data analysis and running simulations; and Travel, accommodating business trips for conferences, workshops, and meetings. A survey for self-evaluation was devised based on these studies, enabling you to estimate your professional footprint. The workshop also offers a hands-on session to engage with the Know your footprint survey and estimate the individual professional footprint. The Know your footprint campaign aims to raise awareness, identify the dominant contributing factors to the HEP-related footprint, and motivate the community to move towards more sustainable research practices
Searches of Lepton-Flavour-Violating Decays of the Higgs Boson with the ATLAS Detector at the HL-LHC
No full textThis talk presents a study of the prospects of searches for lepton-flavour-violating decays of the Higgs boson into e tau and mu tau final states with 3000 fb-1 of proton-proton collisions at sqrt(s) = 14 TeV using the ATLAS detector at the HL-LHC. The expected HL-LHC results are estimated by extrapolating the recently published ATLAS search in the Run 2 dataset to the HL-LHC conditions, accounting for, among others, the increase in the integrated luminosity and the potential reduction of uncertainties associated with particle reconstruction with the upgraded ATLAS detector. The signatures H->e tau and H->mu tau are treated as independent signals, and two independent approaches of the background estimation are employed and compared
Sensitivity to lepton flavour violating Higgs boson decays at the HL-LHC using data-driven background estimation
No full textOne of the primary goals of the Large Hadron Collider (LHC) program is to look for processes beyond the Standard Model (SM) of particle physics. One such process predicted by many beyond-SM theories is lepton flavour violation (LFV) in the decays of the Higgs Boson. A search for LFV decays of the Higgs boson with H → eτ_μ and H → μτ_e final states was performed using the full Run 2 data collected at √s = 13 TeV, corresponding to an integrated luminosity of 138 fb⁻¹. A part of this analysis used a data-driven background estimation, which takes advantage of the idempotency of SM backgrounds under the exchange of an electron and a muon. This symmetry is then broken only by the difference in the two LFV signals considered. Due to its data-driven nature, the sensitivity of this approach is limited by statistical uncertainties, which are expected to reduce with more data.This talk describes the extrapolation of the Run 2 analysis' sensitivity to conditions at the high-luminosity HLC (HL-LHC), where a data set, collected in pp collisions at √s = 14 TeV corresponding to an integrated luminosity of 3000 fb⁻¹, is expected. The extrapolation also accounts for the expected improvements in systematic uncertainties from detector upgrades planned for the HL-LHC. The first expected sensitivities for LFV decays of the Higgs boson at the HL-LHC, based on the data-driven background estimation, are presented
Searches for resonant Higgs boson pair production in the decay channel for the boosted single-lepton final state at ATLAS
No full textThis thesis presents searches for a heavy scalar resonance () decaying into a pair of scalar bosons in the decay channel for the single-lepton final state and boosted topologies using the full Run 2 ATLAS proton-proton collision dataset. The scalar boson pair can either be two Standard Model Higgs bosons () or an additional heavy scalar in conjunction with a Standard Model Higgs boson (). Due to the interplay between the masses of the scalars, various topologies, extending from fully resolved to fully boosted, are possible. Each of these topologies have their possibilities and challenges. Thus, having orthogonal cuts to define regions, where one or the other topology dominates is crucial to optimise each topology independently. Moreover, the definitions of signal, validation and control regions play a key role in any analysis.A statistical framework, based on profile likelihood fits, is used to set expected 95% C.L. exclusion limits on the production cross section, , and on the cross section of production times its branching ratio to the decay channel, , for the and scenarios, respectively. It is also used to perform an iterative procedure of simultaneous single-bin fits to constrain the leading backgrounds in the control regions. The expected 95% C.L. exclusion limits are set by fitting the shape of the sum of the mass of the visible decay products of and the missing transverse energy () in the blinded signal regions, with only the statistical uncertainties included. For the samples, the best limit is expected for at , which is in the same order of magnitude as the limits obtained by the boosted 0-lepton final state of the analysis and by the boosted analysis. For the samples, the best limit is expected for and at
Implementation of an improved Neural Network for identification of hadronically decaying τ leptons in the ATLAS trigger system for the LHC Run 3
No full textThe ATLAS detector employs a trigger system to reduce the large event rate by saving only interesting events on mass storage for further analyses. This is done via dedicated triggers for each observable physics object. Being the heaviest lepton in the Standard Model of particle physics, the τ lepton is highly unstable, allowing only its decay products to be directly observed. While the electron and muon triggers can be used for the leptonic decays of the τ lepton, separate triggers are necessary to differentiate between hadronically decaying τ leptons (τ_had ) and jets, which are produced with significantly higher abundance. ATLAS uses a recurrent neural network (RNN) for τ_had identification, which exploits various track, cluster and high-level variables as inputs, and returns a single classifier as output. However, it needed to be retuned for operations in the ongoing Run 3 phase of the Large Hadron Collider (LHC) due to upgrades in the detector and the accelerator. Furthermore, new input variables were added to improve the performance of the RNN. An alternative architecture based on Deep Sets was tested in order to have a more efficient usage of computing resources. This talk presents the results of performance studies of the retuned RNN, and a comparison between the two network architectures in terms of efficacy and resource consumption
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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