| 1. |
- Alerstam, Erik, et al.
(författare)
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Single-fiber diffuse optical time-of-flight spectroscopy
- 2012
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Ingår i: Optics Letters. - 0146-9592. ; 37:14, s. 2877-2879
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Tidskriftsartikel (refereegranskat)abstract
- We demonstrate interstitial diffuse optical time-of-fight spectroscopy based on a single fiber for both light delivery and detection. Detector saturation due to the massive short-time reflection is avoided by ultrafast gating of a single photon avalanche diode. We show that the effects of scattering and absorption are separable and that absorption can be assessed independently of scattering. Measurements on calibrated liquid phantoms and subsequent Monte Carlo-based evaluation illustrate that absorption coefficients can be accurately assessed over a wide range of medically relevant optical properties. Our findings pave the way to simplified and less invasive interstitial in vivo spectroscopy. (C) 2012 Optical Society of America
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| 2. |
- Abercrombie, Daniel, et al.
(författare)
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Dark Matter benchmark models for early LHC Run-2 Searches : Report of the ATLAS/CMS Dark Matter Forum
- 2020
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Ingår i: Physics of the Dark Universe. - : Elsevier BV. - 2212-6864. ; 27
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Tidskriftsartikel (refereegranskat)abstract
- This document is the final report of the ATLAS-CMS Dark Matter Forum, a forum organized by the ATLAS and CMS collaborations with the participation of experts on theories of Dark Matter, to select a minimal basis set of dark matter simplified models that should support the design of the early LHC Run-2 searches. A prioritized, compact set of benchmark models is proposed, accompanied by studies of the parameter space of these models and a repository of generator implementations. This report also addresses how to apply the Effective Field Theory formalism for collider searches and present the results of such interpretations.
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| 3. |
- Di Minin, Alberto, et al.
(författare)
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The Biodiversity Moonshot: System Thinking to Co-Create a Biodiversity Embedded Future for Companies
- 2023
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Ingår i: Academy of Management Annual Meeting Proceedings. - New York : Academy of Management. - 2151-6561 .- 0065-0668.
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Konferensbidrag (refereegranskat)abstract
- The detrimental consequences for general economic and social well-being as a result of biodiversity loss and the subsequent degradation of natural ecosystems are emerging as a wicked challenge that the whole societal and economic system must urgently faces. The severity of the impacts of incremental biodiversity depletion calls for substantial and imperative action by all actors and in particular by companies and institutions. Moreover, it is also pivotal an in-depth reflection that allows the management studies to develop as a scientific branch and to play its part in the fundamental transition to a biodiversity embedded future for companies. To further stimulate academic debate, this Symposium aims to encourage discussions on how companies can manage their relationship with the natural environment so as not to destroy the very life-supporting foundations provided by biodiversity.
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| 4. |
- Dorigo, Tommaso, et al.
(författare)
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Toward the end-to-end optimization of particle physics instruments with differentiable programming
- 2023
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Ingår i: Reviews in Physics. - 2405-4283. ; 10
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Forskningsöversikt (refereegranskat)abstract
- The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, due to the large dimensionality of the space of possible choices for geometry, detection technology, materials, data-acquisition, and information-extraction techniques, and the interdependence of the related parameters. On the other hand, massive potential gains in performance over standard, “experience-driven” layouts are in principle within our reach if an objective function fully aligned with the final goals of the instrument is maximized through a systematic search of the configuration space. The stochastic nature of the involved quantum processes make the modeling of these systems an intractable problem from a classical statistics point of view, yet the construction of a fully differentiable pipeline and the use of deep learning techniques may allow the simultaneous optimization of all design parameters. In this white paper, we lay down our plans for the design of a modular and versatile modeling tool for the end-to-end optimization of complex instruments for particle physics experiments as well as industrial and medical applications that share the detection of radiation as their basic ingredient. We consider a selected set of use cases to highlight the specific needs of different applications.
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