Inter-sensor propagation delay estimation using sources of opportunity

Propagation delays are intensively used for Structural Health Monitoring or Sensor Network Localization. In this paper, we study the performances of acoustic propagation delay estimation between two sensors, using sources of opportunity only. Such sources are defined as being uncontrolled by the user (activation time, location, spectral content in time and space), thus preventing the direct estimation with classical active approaches, such as TDOA, RSSI and AOA. Observation models are extended from the literature to account for the spectral characteristics of the sources in this passive context and we show how time-filtered sources of opportunity impact the retrieval of the propagation delay between two sensors. A geometrical analogy is then proposed that leads to a lower bound on the variance of the propagation delay estimation that accounts for both the temporal and the spatial properties of the sources field

From Tevatron's top and lepton-based asymmetries to the LHC

We define a lepton-based asymmetry in semi-leptonic ttbar production at the LHC. We show that the ratio of this lepton-based asymmetry and the ttbar charge asymmetry, measured as a function of the lepton transverse momentum or the ttbar invariant mass is a robust observable in the Standard Model. It is stable against higher order corrections and mis-modeling effects. We show that this ratio can also be a powerful discriminant among different new physics models and between them and the Standard Model. Finally, we show that a related ratio defined at the Tevatron is also robust as a function of the ttbar invariant mass.Comment: 20 page

A Green’s basis for the bosonic SMEFT to dimension 8

We are grateful to Jose Santiago for sharing (and for instructing us on) matchmakereft, as well as for discussions and for comments on the manuscript. We are also enormously thankful to Renato Fonseca for the many enlightening discussions and for help with Sym2Int. MC would also like to thank Christopher Murphy for clarifying some calculations in ref. [30]. MC and ADC are supported by SRA under grant PID2019-106087GB-C21/C22 (10.13039/501100011033). MC is also supported by the Junta de Andalucia grants FQM 101, A-FQM-211-UGR18 and P18-FR-4314 (FEDER), as well as by the Spanish MINECO under the Ramon y Cajal programme. ADC is also supported by the Spanish MINECO under the FPI programme. GG acknowledges support by LIP (FCT, COMPETE2020Portugal2020, FEDER, POCI-01-0145-FEDER-007334) as well as by FCT under project CERN/FIS-PAR/0024/2019 and under the grant SFRH/BD/144244/2019.We present a basis of dimension-eight Green’s functions involving Standard Model (SM) bosonic fields, consisting of 86 new operators. Rather than using algebraic identities and integration by parts, we prove the independence of these interactions in momentum space, including discussion on evanescent bosonic operators. Our results pave the way for renormalising the SM effective field theory (SMEFT), as well as for performing matching of ultraviolet models onto the SMEFT, to higher order. To demonstrate the potential of our construction, we have implemented our basis in matchmakereft and used it to integrate out a heavy singlet scalar and a heavy quadruplet scalar up to one loop. We provide the corresponding dimension-eight Wilson coefficients. Likewise, we show how our results can be easily used to simplify cumbersome redundant Lagrangians arising, for example, from integrating out heavy fields using the path-integral approach to matching.Sugar Research Australia PID2019-106087GB-C21/C22Junta de Andalucia FQM 101 A-FQM-211-UGR18 P18-FR-4314Spanish MINECO under the Ramon y Cajal programme Spanish MINECO under the FPI programmePortuguese Foundation for Science and Technology POCI-01-0145-FEDER-007334 Portuguese Foundation for Science and TechnologyEuropean Commission CERN/FIS-PAR/0024/2019 SFRH/BD/144244/201

Passive Acoustic Sensor Network Localization; Application to Structure geometry Monitoring

International audienceIn this article, passive acoustic sensor network localization is presented and applied to geometry structure monitoring. The methodology relies on passive travel-time estimation, which is here defined as the retrieval of an inter-sensor propagation delay, using uncontrolled ambient sources in an homogeneous acoustic propagation medium. Our approach relates to passive linear systems identification through the use of codas correlations to form estimators. We provide practical performances of such estimators and propose two approaches for geometry monitoring, both illustrated in the case of a steel beam

Towards the renormalisation of the Standard Model effective field theory to dimension eight: Bosonic interactions II

Data Availibility Statement This manuscript has associated data in a data repository. [Authors’ comment: The datasets generated during the current study are available in the Github repository https://github.com/SMEFT-Dimension8-RGEs.]We calculate the renormalisation group running of the bosonic Standard Model (SM) effective operators at one loop and to order v4/Λ4, with v∼246 GeV being the electroweak scale and Λ the unknown new physics threshold. We focus on contributions driven by one dimension-eight term and SM couplings, thus extending (and completing) the effort initiated in Chala et al. (SciPost Phys 11:065, 2021). arXiv:2106.05291, in which quantum corrections from pairs of dimension-six interactions were considered. We highlight some interesting consequences, including the renormalisation of loop-induced interactions by tree-level generated terms and, more importantly, the validity of positivity bounds on different operators inducing anomalous gauge quartic couplings.Junta de Andalucía under grants FQM 101, A-FQM-211-UGR18, P18-FR-4314 (FEDER) and A-FQM-467-UGR18 (FEDER)LIP (FCT, COMPETE2020-Portugal2020, FEDER, POCI-01-0145-FEDER-007334) and by FCT under the project CERN/FIS-PAR/0032/2021 and under the grant SFRH/BD/144244/2019Grants PID2019-106087GB-C21/C22 (10.13039/501100011033)Spanish MINECO under the FPI programmeSpanish MINECO under the Ramón y Cajal programmeFunding for open access charge: Universidad de Granada/CBU

Passive tomography for elastic waves in solids

In this paper we derive relations between the cross-correlation of ambient noises recorded at two different points and the Green's function of the elastic waves in a medium with viscous damping. The Green's function allows to estimate physical parameters such as speeds or distances. Furthermore, this work is extended by introducing the Green's correlation function proposed by J-L. Lacoume in [Lacoume07]. Some recent works proved the possible reconstruction of the Green's function for scalar waves from the cross-correlation function of ambient noise. In this work, we consider vector waves propagating in a three dimensional solid medium. Two approaches are developed. Firstly, we extend theoretical derivations proposed by Y. Colin de Verdi`ere in [ColinDeVerdiere09], relating cross-correlation of scalar waves to 1D Green's function using linear operator theory. The second approach recasts the three dimensional problem in the framework of Fourier theory. This allows to improve physical understanding of the underlying physical processes as outlined in [Lacoume07].Comment: 24 page

Observation of Vehicle Axles Through Pass-by Noise: A Strategy of Microphone Array Design

This paper focuses on road traffic monitoring using sounds and proposes, more specifically, a microphone array design methodology for observing vehicle trajectory from acoustic-based correlation functions. In a former work, authors have shown that combining generalized cross correlation (GCC) functions and a particle filter onto the audio signals simultaneously acquired by two sensors placed near the road allows the joint estimation of the speed and the wheelbase length of road vehicles as they pass by. This is mainly due to the broadband nature of the tire/road noise, which makes their spatial dissociation possible by means of an appropriate GCC processor. At the time, nothing has been said about the best distance to chose between the sensors. A methodology is proposed here to find this optimum, which is expected to improve the observation quality and, thus, the tracking performance. Theoretical developments of this paper are partially assessed with preliminary experiments

New Higgs Production Mechanism in Composite Higgs Models

Composite Higgs models are only now starting to be probed at the Large Hadron Collider by Higgs searches. We point out that new resonances, abundant in these models, can mediate new production mechanisms for the composite Higgs. The new channels involve the exchange of a massive color octet and single production of new fermion resonances with subsequent decays into the Higgs and a Standard Model quark. The sizable cross section and very distinctive kinematics allow for a very clean extraction of the signal over the background with high statistical significance. Heavy gluon masses up to 2.8 TeV can be probed with data collected during 2012 and up to 5 TeV after the energy upgrade to $\sqrt{s}=14$ TeV.Comment: 27 pages, 22 figures. V2: typos corrected, matches published versio

Theory Techniques for Precision Physics -- Snowmass 2021 TF06 Topical Group Report

The wealth of experimental data collected at laboratory experiments suggests that there is some scale separation between the Standard Model (SM) and phenomena beyond the SM (BSM). New phenomena can manifest itself as small corrections to SM predictions, or as signals in processes where the SM predictions vanish or are exceedingly small. This makes precise calculations of the SM expectations essential, in order to maximize the sensitivity of current and forthcoming experiments to BSM physics. This topical group report highlights some past and forthcoming theory developments critical for maximizing the sensitivity of the experimental program to understanding Nature at the shortest distances.Comment: 36 pages, 2 figures. Report of the TF06 topical group for Snowmass 202

Duality and distance formulas in spaces defined by means of oscillation

For the classical space of functions with bounded mean oscillation, it is well known that VMO∗∗=BMOVMO∗∗=BMO and there are many characterizations of the distance from a function f in BMOBMO to VMOVMO. When considering the Bloch space, results in the same vein are available with respect to the little Bloch space. In this paper such duality results and distance formulas are obtained by pure functional analysis. Applications include general Möbius invariant spaces such as QK-spaces, weighted spaces, Lipschitz–Hölder spaces and rectangular BMOBMO of several variables