3 research outputs found
Letter from M.J. Curran to Hagan
No full textHolograph letter from M.[J.Curran], Rome, to Hagan. Sr. Rita progresses well; she does suffer from typhoid after all. Explaining the matter concerning the Enright Burse; a draft has been received. In Tivoli, a new municipal tax is imposed on all building materials; asking for advice. Latest progress on the Via Santi Quattro site. The Civiltà Cattolica has apparently excelled itself in an attack on the author of the Isola Smeralda; promising to send the issue
Cognitive enhancement via network-targeted cortico-cortical associative brain stimulation
No full textFluid intelligence (gf) represents a crucial component of human cognition, as it correlates with academic achievement, successful aging, and longevity. However, it has strong resilience against enhancement interventions, making the identification of gf enhancement approaches a key unmet goal of cognitive neuroscience. Here, we applied a spike-timing-dependent plasticity (STDP)-inducing brain stimulation protocol, named cortico-cortical paired associative stimulation (cc-PAS), to modulate gf in 29 healthy young subjects (13 females - mean ± standard deviation, 25.43 years ± 3.69), based on dual-coil transcranial magnetic stimulation (TMS). Pairs of neuronavigated TMS pulses (10-ms interval) were delivered over two frontoparietal nodes of the gf network, based on individual functional magnetic resonance imaging data and in accordance with cognitive models of information processing across the prefrontal and parietal lobe. cc-PAS enhanced accuracy at gf tasks, with parieto-frontal and fronto-parietal stimulation significantly increasing logical and relational reasoning, respectively. Results suggest the possibility of using SPTD-inducing TMS protocols to causally validate cognitive models by selectively engaging relevant networks and manipulating inter-regional temporal dynamics supporting specific cognitive functions. © 2019 The Author(s) 2019. Published by Oxford University Press. All rights reserved
Charge reconstruction in large-area photomultipliers
No full textThe International School for Advanced Studies (SISSA), find out more
The International School for Advanced Studies (SISSA), find out more
Charge reconstruction in large-area photomultipliers
M. Grassi1,2, M. Montuschi3,4, M. Baldoncini3,4, F. Mantovani3,4, B. Ricci3,4, G. Andronico5, V. Antonelli1,11, M. Bellato7, E. Bernieri8,9, A. Brigatti1,11Show full author list
Published 6 February 2018 • © 2018 IOP Publishing Ltd and Sissa Medialab
Journal of Instrumentation, Volume 13, February 2018 Citation M. Grassi et al 2018 JINST 13 P02008
Download Article PDF
References
95 Total downloads
2
2 total citations on Dimensions.
Article has an altmetric score of 1
Turn on MathJax
Get permission to re-use this article
Share this article
Share this content via email
Share on Facebook (opens new window)
Share on Twitter (opens new window)
Share on Mendeley (opens new window)
Article information
Abstract
Large-area PhotoMultiplier Tubes (PMT) allow to efficiently instrument Liquid Scintillator (LS) neutrino detectors, where large target masses are pivotal to compensate for neutrinos' extremely elusive nature. Depending on the detector light yield, several scintillation photons stemming from the same neutrino interaction are likely to hit a single PMT in a few tens/hundreds of nanoseconds, resulting in several photoelectrons (PEs) to pile-up at the PMT anode. In such scenario, the signal generated by each PE is entangled to the others, and an accurate PMT charge reconstruction becomes challenging. This manuscript describes an experimental method able to address the PMT charge reconstruction in the case of large PE pile-up, providing an unbiased charge estimator at the permille level up to 15 detected PEs. The method is based on a signal filtering technique (Wiener filter) which suppresses the noise due to both PMT and readout electronics, and on a Fourier-based deconvolution able to minimize the influence of signal distortions—such as an overshoot. The analysis of simulated PMT waveforms shows that the slope of a linear regression modeling the relation between reconstructed and true charge values improves from 0.769 ± 0.001 (without deconvolution) to 0.989 ± 0.001 (with deconvolution), where unitary slope implies perfect reconstruction. A C++ implementation of the charge reconstruction algorithm is available online at [1]
