1. |
- Anchordoqui, Luis A., et al.
(författare)
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The Forward Physics Facility : Sites, experiments, and physics potential
- 2022
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Ingår i: Physics reports. - : Elsevier. - 0370-1573 .- 1873-6270. ; 968, s. 1-50
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Tidskriftsartikel (refereegranskat)abstract
- The Forward Physics Facility (FPF) is a proposal to create a cavern with the space and infrastructure to support a suite of far-forward experiments at the Large Hadron Collider during the High Luminosity era. Located along the beam collision axis and shielded from the interaction point by at least 100 m of concrete and rock, the FPF will house experiments that will detect particles outside the acceptance of the existing large LHC experiments and will observe rare and exotic processes in an extremely low-background environment. In this work, we summarize the current status of plans for the FPF, including recent progress in civil engineering in identifying promising sites for the FPF and the experiments currently envisioned to realize the FPF's physics potential. We then review the many Standard Model and new physics topics that will be advanced by the FPF, including searches for long-lived particles, probes of dark matter and dark sectors, high-statistics studies of TeV neutrinos of all three flavors, aspects of perturbative and non-perturbative QCD, and high-energy astroparticle physics.
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2. |
- Menkveld, Albert J., et al.
(författare)
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Nonstandard Errors
- 2024
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Ingår i: JOURNAL OF FINANCE. - : Wiley-Blackwell. - 0022-1082 .- 1540-6261. ; 79:3, s. 2339-2390
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Tidskriftsartikel (refereegranskat)abstract
- In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty-nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
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3. |
- Reno, Marco, et al.
(författare)
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Relay Node Selection in Bluetooth Mesh Networks
- 2020
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Ingår i: 2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON). - : IEEE. - 9781728152004 ; , s. 175-180
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Konferensbidrag (refereegranskat)abstract
- Bluetooth Mesh (BM) is a new communication protocol for the Internet of Things that is used to establish many-to-many device communication. BM allows for easy creation of large connection-less mesh networks using a controlled-flooding propagation mechanism, in which relay nodes broadcast the received messages to all neighbors until the message reaches its destination. This model, however, makes BM networks susceptible to broadcast-storm effects, which can hinder the scalability of the protocol. Opportune relay node selection is therefore of critical importance to control network traffic and improve network performance. This paper focuses on the choice of relay selection algorithms suitable for BM networks. In particular, different centralized, decentralized, and localized algorithms based on Connected Dominating Set (CDS) are evaluated and compared.
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