20190318 11:55 
4Dimensional Tracking with UltraFast Silicon Detectors
/ Sadrozinski, Hartmut F.W. (SCIPP) ; Seiden, Abraham (SCIPP) ; Cartiglia, Nicolò (INFN Torino)
The evolution of particle detectors has always pushed the technological limit in order to provide enabling technologies to researchers in all fields of science. One archetypal example is the evolution of silicon detectors, from a system with a few channels 30 years ago, to the tens of millions of independent pixels currently used to track charged particles in all major particle physics experiments. [...]
AIDA2020PUB2017010.
Geneva : CERN, 2017
 Published in : Reports on Progress in Physics (2017)
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20190318 10:50 
Timing layers, 4 and 5dimension tracking
/ Cartiglia, N. (INFN, Torino, Italy) ; Arcidiacono, R. (INFN, Torino, Italy, Università del Piemonte Orientale, Italy) Ferrero, M. (INFN, Torino, Italy) ; Mandurrino, M. (INFN, Torino, Italy) ; Sadrozinski, H.F. (SCIPP, University of California Santa Cruz, CA, USA) ; Sola, V. (INFN, Torino, Italy, Università di Torino, Torino, Italy) ; Staiano, A. (INFN, Torino, Italy) ; Seiden, A. (SCIPP, University of California Santa Cruz, CA, USA)
The combination of precision space and time information in particle tracking, the so called 4D tracking, is being considered in the upgrade of the ATLAS, CMS and LHCb experiments at the HighLuminosity LHC, set to start data taking in 2024–2025. Regardless of the type of solution chosen, space–time tracking brings benefits to the performance of the detectors by reducing the background and sharpening the resolution; it improves tracking performances and simplifies tracks combinatorics. [...]
AIDA2020PUB2019005.
Geneva : CERN, 2019
 Published in : Elsevier  NIM A
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20190316 06:10 
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20190316 06:10 
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20190316 06:10 
Timing resolution studies of the optical part of the AFP Timeofflight detector
/ Chytka, L (Palacky U.) ; Avoni, G (INFN, Bologna ; U. Bologna, DIFA) ; Brandt, A (Texas U., Arlington) ; Cavallaro, E (Barcelona, IFAE) ; Davis, P M (Alberta U.) ; Förster, F (Barcelona, IFAE) ; Hrabovsky, M (Palacky U.) ; Huang, Y (Hefei, CUST) ; Jirakova, K (Palacky U.) ; Kocian, M (SLAC) et al.
We present results of the timing performance studies of the optical part and frontend electronics of the timeofflight subdetector prototype for the ATLAS Forward Proton (AFP) detector obtained during the test campaigns at the CERNSPS testbeam facility (120 GeV $\pi ^+$ particles) in July 2016 and October 2016. The timeofflight (ToF) detector in conjunction with a 3D silicon pixel tracker will tag and measure protons originating in central exclusive interactions $p + p \rightarrow p + X + p$, where the two outgoing protons are scattered in the very forward directions. [...]
2018  12 p.
 Published in : Opt. Express 26 (2018) 80288039
Fulltext: PDF; External link: Fulltext

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20190316 06:10 
A Systematic Analysis of the Prompt Dose Distribution at the Large Hadron Collider
/ Stein, Oliver (CERN) ; Bilko, Kacper (CERN) ; Brugger, Markus (CERN) ; Danzeca, Salvatore (CERN) ; Di Francesca, Diego (CERN) ; Garcia Alia, Ruben (CERN) ; Kadi, Yacine (CERN) ; Li Vecchi, Gaetano (CERN) ; Martinella, Corinna (CERN)
During the operation of the Large Hadron Collider (LHC) the continuous particle losses create a mixed particle radiation field in the LHC tunnel and the adjacent caverns. Exposed electronics and accelerator components show dose dependent accelerated aging effects. [...]
2018  3 p.
 Published in : 10.18429/JACoWIPAC2018WEPAF082
Fulltext: PDF;
In : 9th International Particle Accelerator Conference, Vancouver, Canada, 29 Apr  4 May 2018, pp.WEPAF082

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20190316 06:10 
An Enhanced Quench Detection System for Main Quadrupole Magnets in the Large Hadron Collider
/ Spasic, Jelena (CERN) ; Calcoen, Daniel (CERN) ; Denz, Reiner (CERN) ; Froidbise, Vincent (CERN) ; Georgakakis, Spyridon (CERN) ; Podzorny, Tomasz (CERN) ; Siemko, Andrzej (CERN) ; Steckert, Jens (CERN)
To further improve the performance and reliability of the quench detection system (QDS) for main quadrupole magnets in the Large Hadron Collider (LHC), there is a planned upgrade of the system during the long shutdown period of the LHC in 20192020. While improving the already existing functionalities of quench detection for quadrupole magnets and fieldbus data acquisition, the enhanced QDS will incorporate new functionalities to strengthen and improve the system operation and maintenance. [...]
2018  4 p.
 Published in : 10.18429/JACoWIPAC2018WEPAF081
Fulltext: PDF;
In : 9th International Particle Accelerator Conference, Vancouver, Canada, 29 Apr  4 May 2018, pp.WEPAF081

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20190316 06:10 
Observation of the 1S–2P Lyman$\alpha$ transition in antihydrogen
/ Ahmadi, M (Liverpool U.) ; Alves, B X R (Aarhus U.) ; Baker, C J (Swansea U.) ; Bertsche, W (Manchester U. ; Cockcroft Inst. Accel. Sci. Tech.) ; Capra, A (TRIUMF) ; Carruth, C (UC, Berkeley) ; Cesar, C L (Rio de Janeiro Federal U.) ; Charlton, M (Swansea U.) ; Cohen, S (Ben Gurion U. of Negev) ; Collister, R (TRIUMF) et al.
/ALPHA
In 1906, Theodore Lyman discovered his eponymous series of transitions in the extremeultraviolet region of the atomic hydrogen spectrum1,2. The patterns in the hydrogen spectrum helped to establish the emerging theory of quantum mechanics, which we now know governs the world at the atomic scale. [...]
2018  5 p.
 Published in : Nature 561 (2018) 211215
Fulltext: PDF; External link: Interactions.org article

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20190316 06:10 
Anneal induced transformations of defects in hadron irradiated Si wafers and Schottky diodes
/ Gaubas, E (Vilnius U.) ; Ceponis, T (Vilnius U.) ; Deveikis, L (Vilnius U.) ; Meskauskaite, D (Vilnius U.) ; Pavlov, J (Vilnius U.) ; Rumbauskas, V (Vilnius U.) ; Vaitkus, J (Vilnius U.) ; Moll, M (CERN) ; Ravotti, F (CERN)
In this research, the anneal induced transformations of radiation defects have been studied in ntype and ptype CZ and FZ Si samples, irradiated with relativistic protons (24 GeV/c) and pions (300 MeV/c) using particle fluences up to $3 \times 10^{16}$ cm$^{−2}$. The temperature dependent carrier trapping lifetime (TDTL) spectroscopy method was combined with measurements of current deep level transient spectroscopy (DLTS) to trace the evolution of the prevailing radiation defects. [...]
2018  9 p.
 Published in : Mat. Sci. Semicond. Proc. 75 (2018) 157165

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20190316 06:10 
Beyond the traditional LineofSight approach of cosmological angular statistics
/ Schöneberg, Nils (RWTH Aachen U.) ; Simonović, Marko (Princeton, Inst. Advanced Study ; CERN) ; Lesgourgues, Julien (RWTH Aachen U.) ; Zaldarriaga, Matias (Princeton, Inst. Advanced Study)
We present a new efficient method to compute the angular power spectra of largescale structure observables that circumvents the numerical integration over Bessel functions, expanding on a recently proposed algorithm based on FFTlog. This new approach has better convergence properties. [...]
arXiv:1807.09540; TTK1828; TTK1828.
20181025  35 p.
 Published in : JCAP 1810 (2018) 047
Fulltext: PDF; External links: 00006 Autocorrelation spectrum of number count (involving only the density source term) in one redshift bin defined by a Gaussian window function with mean redshift $\bar{z}=1.0$ and width $\Delta z = 0.05$\,.; 00002 \textit{(Top)} Autocorrelation spectrum of number count (involving all source contributions) in one redshift bin defined by a Gaussian window function with mean redshift $\bar{z}=1.0$ and width $\Delta z = 0.05$\,. \textit{(Bottom)} Crosscorrelation between two redshift bins defined by two Gaussian windows with $(\bar{z}_1, \Delta z_1) = (1.0, 0.05)$ and $(\bar{z}_2, \Delta z_2) = (1.25, 0.05)$.; 00004 Autocorrelation spectrum of cosmic shear (or more precisely of the lensing potential $C_\ell^{\phi \phi}$) in one redshift bin defined by a Gaussian window function with mean redshift $\bar{z}=1.0$ and width $\Delta z = 0.05$\,.; 00012 \textit{(Top)} Autocorrelation spectrum of number count (involving all source contributions) in one redshift bin defined by a Gaussian window function with mean redshift $\bar{z}=1.0$ and width $\Delta z = 0.05$\,. \textit{(Bottom)} Crosscorrelation between two redshift bins defined by two Gaussian windows with $(\bar{z}_1, \Delta z_1) = (1.0, 0.05)$ and $(\bar{z}_2, \Delta z_2) = (1.25, 0.05)$.; 00010 Number count spectra involving only density terms for a redshift bin centered at $\bar{z}=1.0$ with width $\Delta z=0.05$\,. \textit{(Top Left)} Total spectra w/o nonlinear corrections from Halofit and massive neutrinos with $M_\nu=1$~eV. \textit{(Top Right)} Impact of these two corrections on the power spectrum, computed as a relative difference (in \%) with respect to the linear spectrum of the massless neutrino model\,. \textit{(Bottom left)} Result of the new method with either the \tquote{full separability} or \tquote{semiseparability} approximations compared to the traditional lineofsight approach. \textit{(Bottom right)} Relative difference (in \%) between the new and old methods. One can immediately see that the additional effects are well captured and the error remains at the subpermille level.\\; 00014 \textit{(Top)} Autocorrelation spectrum of number count (involving all source contributions) in one redshift bin defined by a Gaussian window function with mean redshift $\bar{z}=1.0$ and width $\Delta z = 0.05$\,. \textit{(Bottom)} Crosscorrelation between two redshift bins defined by two Gaussian windows with $(\bar{z}_1, \Delta z_1) = (1.0, 0.05)$ and $(\bar{z}_2, \Delta z_2) = (1.25, 0.05)$.; 00005 Number count spectra involving only density terms for a redshift bin centered at $\bar{z}=1.0$ with width $\Delta z=0.05$\,. \textit{(Top Left)} Total spectra w/o nonlinear corrections from Halofit and massive neutrinos with $M_\nu=1$~eV. \textit{(Top Right)} Impact of these two corrections on the power spectrum, computed as a relative difference (in \%) with respect to the linear spectrum of the massless neutrino model\,. \textit{(Bottom left)} Result of the new method with either the \tquote{full separability} or \tquote{semiseparability} approximations compared to the traditional lineofsight approach. \textit{(Bottom right)} Relative difference (in \%) between the new and old methods. One can immediately see that the additional effects are well captured and the error remains at the subpermille level.\\; 00000 Autocorrelation spectrum of cosmic shear (or more precisely of the lensing potential $C_\ell^{\phi \phi}$) in one redshift bin defined by a Gaussian window function with mean redshift $\bar{z}=1.0$ and width $\Delta z = 0.05$\,.; 00007 Autocorrelation spectrum of number count (involving only the density source term) in one redshift bin defined by a Gaussian window function with mean redshift $\bar{z}=1.0$ and width $\Delta z = 0.05$\,.; 00008 \textit{(Top)} Autocorrelation spectrum of number count (involving all source contributions) in one redshift bin defined by a Gaussian window function with mean redshift $\bar{z}=1.0$ and width $\Delta z = 0.05$\,. \textit{(Bottom)} Crosscorrelation between two redshift bins defined by two Gaussian windows with $(\bar{z}_1, \Delta z_1) = (1.0, 0.05)$ and $(\bar{z}_2, \Delta z_2) = (1.25, 0.05)$.; 00001 Number count spectra involving only density terms for a redshift bin centered at $\bar{z}=1.0$ with width $\Delta z=0.05$\,. \textit{(Top Left)} Total spectra w/o nonlinear corrections from Halofit and massive neutrinos with $M_\nu=1$~eV. \textit{(Top Right)} Impact of these two corrections on the power spectrum, computed as a relative difference (in \%) with respect to the linear spectrum of the massless neutrino model\,. \textit{(Bottom left)} Result of the new method with either the \tquote{full separability} or \tquote{semiseparability} approximations compared to the traditional lineofsight approach. \textit{(Bottom right)} Relative difference (in \%) between the new and old methods. One can immediately see that the additional effects are well captured and the error remains at the subpermille level.\\; 00009 Number count spectra involving only density terms for a redshift bin centered at $\bar{z}=1.0$ with width $\Delta z=0.05$\,. \textit{(Top Left)} Total spectra w/o nonlinear corrections from Halofit and massive neutrinos with $M_\nu=1$~eV. \textit{(Top Right)} Impact of these two corrections on the power spectrum, computed as a relative difference (in \%) with respect to the linear spectrum of the massless neutrino model\,. \textit{(Bottom left)} Result of the new method with either the \tquote{full separability} or \tquote{semiseparability} approximations compared to the traditional lineofsight approach. \textit{(Bottom right)} Relative difference (in \%) between the new and old methods. One can immediately see that the additional effects are well captured and the error remains at the subpermille level.\\; 00003 Another consequence of the Limber limit: For large $\ell$ the $t_{min}$ parameter behaves as $1/\ell$ (left), and the $I_\ell(\nu,1)/\ell^{\nu2}$ is constant as in equation \ref{eq_Il_limit} (right). Note that the oscillations due to imaginary $\nu$ are correctly captured and the relative size approaches the correct constant. The black lines indicate the behavior for $\nu=2.1+30i$ and $\epsilon=10^{4}$, while the grey lines specify asymptotes. On the left, the grey line is $\ell^{1}$ times an arbitrary constant (here $30/\ell$), while on the right side the constant is fixed by \ref{eq_Il_limit}. The constant for $t_{min}$ is not exactly $\log(1/\epsilon)$ because of the influence of the hypergeometric function.; 00011 An illustration of the Limber limit: For large $\ell$ the area under the curve $I_\ell(\nu,t)$ approaches $\pi^2 \ell^{\nu3}$ when integrated from $0$ to $1$. We see that the factor $\ell^{3\nu} \, I_\ell(\nu,t)$ approaches the constant $\pi^2$, which is an equivalent statement.; 00013 Another consequence of the Limber limit: For large $\ell$ the $t_{min}$ parameter behaves as $1/\ell$ (left), and the $I_\ell(\nu,1)/\ell^{\nu2}$ is constant as in equation \ref{eq_Il_limit} (right). Note that the oscillations due to imaginary $\nu$ are correctly captured and the relative size approaches the correct constant. The black lines indicate the behavior for $\nu=2.1+30i$ and $\epsilon=10^{4}$, while the grey lines specify asymptotes. On the left, the grey line is $\ell^{1}$ times an arbitrary constant (here $30/\ell$), while on the right side the constant is fixed by \ref{eq_Il_limit}. The constant for $t_{min}$ is not exactly $\log(1/\epsilon)$ because of the influence of the hypergeometric function.

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