Novel real-time alignment and calibration of the LHCb detector and its performance

2017 ◽  
Vol 845 ◽  
pp. 560-564 ◽  
Author(s):  
S. Borghi
Keyword(s):  
Real Time ◽  
Time Alignment ◽  
Lhcb Detector

scholarly journals Evolution of the energy efficiency of LHCb’s real-time processing

2021 ◽  
Vol 251 ◽  
pp. 04009
Author(s):  
Roel Aaij ◽  
Daniel Hugo Cámpora Pérez ◽  
Tommaso Colombo ◽  
Conor Fitzpatrick ◽  
Vladimir Vava Gligorov ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Real Time ◽  
Lhcb Collaboration ◽  
Software Infrastructure ◽  
Real Time Processing ◽  
Time Processing ◽  
Lhcb Detector ◽  
Future Data ◽  
Time Part ◽  
The Impact

The upgraded LHCb detector, due to start datataking in 2022, will have to process an average data rate of 4 TB/s in real time. Because LHCb’s physics objectives require that the full detector information for every LHC bunch crossing is read out and made available for real-time processing, this bandwidth challenge is equivalent to that of the ATLAS and CMS HL-LHC software read-out, but deliverable five years earlier. Over the past six years, the LHCb collaboration has undertaken a bottom-up rewrite of its software infrastructure, pattern recognition, and selection algorithms to make them better able to efficiently exploit modern highly parallel computing architectures. We review the impact of this reoptimization on the energy efficiency of the realtime processing software and hardware which will be used for the upgrade of the LHCb detector. We also review the impact of the decision to adopt a hybrid computing architecture consisting of GPUs and CPUs for the real-time part of LHCb’s future data processing. We discuss the implications of these results on how LHCb’s real-time power requirements may evolve in the future, particularly in the context of a planned second upgrade of the detector.

Fluorescence correlation microscopy with real-time alignment readout

2005 ◽  
Vol 44 (16) ◽  
pp. 3262 ◽  
Author(s):  
Sanjeev Kumar Kaushalya ◽  
Jayaprakash Balaji ◽  
Kanchan Garai ◽  
Sudipta Maiti
Keyword(s):  
Real Time ◽  
Fluorescence Correlation ◽  
Time Alignment ◽  
Correlation Microscopy ◽  
Fluorescence Correlation Microscopy

scholarly journals Multi-scale Modelling of Segmentation

2016 ◽  
Vol 34 (2) ◽  
pp. 192-217 ◽  
Author(s):  
Martín Hartmann ◽  
Olivier Lartillot ◽  
Petri Toiviainen
Keyword(s):  
Real Time ◽  
Time Scales ◽  
Time Lag ◽  
Optimal Time ◽  
Boundary Density ◽  
Multi Scale ◽  
Time Alignment ◽  
Scale Modelling ◽  
Time Segmentation ◽  
Segmentation Models

While listening to music, people often unwittingly break down musical pieces into constituent chunks such as verses and choruses. Music segmentation studies have suggested that some consensus regarding boundary perception exists, despite individual differences. However, neither the effects of experimental task (i.e., real-time vs. annotated segmentation), nor of musicianship on boundary perception are clear. Our study assesses musicianship effects and differences between segmentation tasks. We conducted a real-time experiment to collect segmentations by musicians and nonmusicians from nine musical pieces. In a second experiment on non-real-time segmentation, musicians indicated boundaries and their strength for six examples. Kernel density estimation was used to develop multi-scale segmentation models. Contrary to previous research, no relationship was found between boundary strength and boundary indication density, although this might be contingent on stimuli and other factors. In line with other studies, no musicianship effects were found: our results showed high agreement between groups and similar inter-subject correlations. Also consistent with previous work, time scales between one and two seconds were optimal for combining boundary indications. In addition, we found effects of task on number of indications, and a time lag between tasks dependent on beat length. Also, the optimal time scale for combining responses increased when the pulse clarity or event density decreased. Implications for future segmentation studies are raised concerning the selection of time scales for modelling boundary density, and time alignment between models.

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