scholarly journals Demonstrator of the Belle II online tracking and pixel data reduction on the High Level Trigger system

2014 ◽  
Author(s):  
T. Bilka ◽  
G. Casarosa ◽  
R. Fruhwirth ◽  
P. Kodys ◽  
P. Kvasnicka ◽  
...  
Keyword(s):  
Data Reduction ◽  
Trigger System ◽  
Level Trigger ◽  
Online Tracking ◽  
Belle Ii ◽  
High Level

scholarly journals Demonstrator of the Belle II Online Tracking and Pixel Data Reduction on the High Level Trigger System

2015 ◽  
Vol 62 (3) ◽  
pp. 1155-1161 ◽  
Author(s):  
T. Bilka ◽  
G. Casarosa ◽  
R. Fruhwirth ◽  
C. Kleinwort ◽  
P. Kodys ◽  
...  
Keyword(s):  
Data Reduction ◽  
Trigger System ◽  
Level Trigger ◽  
Online Tracking ◽  
Belle Ii ◽  
High Level

scholarly journals CMS trigger performance

2018 ◽  
Vol 182 ◽  
pp. 02037
Author(s):  
Silvio Donato
Keyword(s):  
Computing Time ◽  
Track Reconstruction ◽  
Trigger System ◽  
Drastic Reduction ◽  
Event Selection ◽  
Level Trigger ◽  
Reconstruction Software ◽  
Last Stage ◽  
Level 1 ◽  
High Level

During its second run of operation (Run 2), started in 2015, the LHC will deliver a peak instantaneous luminosity that may reach 2 · 1034 cm-2s-1 with an average pileup of about 55, far larger than the design value. Under these conditions, the online event selection is a very challenging task. In CMS, it is realized by a two-level trigger system: the Level-1 (L1) Trigger, implemented in custom-designed electronics, and the High Level Trigger (HLT), a streamlined version of the offine reconstruction software running on a computer farm. In order to face this challenge, the L1 trigger has been through a major upgrade compared to Run 1, whereby all electronic boards of the system have been replaced, allowing more sophisticated algorithms to be run online. Its last stage, the global trigger, is now able to perform complex selections and to compute high-level quantities, like invariant masses. Likewise, the algorithms that run in the HLT have been greatly improved; in particular, new approaches for the online track reconstruction lead to a drastic reduction of the computing time, and to much improved performances. This document will describe the performance of the upgraded trigger system in Run 2.

scholarly journals Belle-II High Level Trigger at SuperKEKB

2012 ◽  
Vol 396 (1) ◽  
pp. 012029
Author(s):  
S Lee ◽  
R Itoh ◽  
T Higuchi ◽  
M Nakao ◽  
S Y Suzuki ◽  
...  
Keyword(s):  
Level Trigger ◽  
Belle Ii ◽  
High Level

scholarly journals Design and Performance of the Belle II High Level Trigger

2021 ◽  
Author(s):  
Markus Tobias Prim ◽  
N. Braun ◽  
Y. Guan ◽  
O. Hartbrich ◽  
R. Itoh ◽  
...  
Keyword(s):  
Level Trigger ◽  
Belle Ii ◽  
And Performance ◽  
High Level

scholarly journals Development of High Level Trigger Software for Belle II at SuperKEKB

2011 ◽  
Vol 331 (2) ◽  
pp. 022015 ◽  
Author(s):  
S Lee ◽  
R Itoh ◽  
N Katayama ◽  
S Mineo
Keyword(s):  
Level Trigger ◽  
Belle Ii ◽  
High Level

Data Flow and High Level Trigger of Belle II DAQ System

2013 ◽  
Vol 60 (5) ◽  
pp. 3720-3724 ◽  
Author(s):  
R. Itoh ◽  
T. Higuchi ◽  
M. Nakao ◽  
S. Y. Suzuki ◽  
S. Lee
Keyword(s):  
Data Flow ◽  
Level Trigger ◽  
Belle Ii ◽  
High Level

scholarly journals The CMS High Level Trigger System: Experience and Future Development

2012 ◽  
Vol 396 (1) ◽  
pp. 012008 ◽  
Author(s):  
G Bauer ◽  
U Behrens ◽  
M Bowen ◽  
J Branson ◽  
S Bukowiec ◽  
...  
Keyword(s):  
Future Development ◽  
Trigger System ◽  
Level Trigger ◽  
High Level

scholarly journals The CMS high level trigger

2014 ◽  
Vol 31 ◽  
pp. 1460297 ◽  
Author(s):  
Valentina Gori
Keyword(s):  
Trigger System ◽  
Output Rate ◽  
Computing Power ◽  
Level Trigger ◽  
Cms Experiment ◽  
Pile Up ◽  
Reconstruction Software ◽  
Physics Performance ◽  
Level 1 ◽  
High Level

The CMS experiment has been designed with a 2-level trigger system: the Level 1 Trigger, implemented on custom-designed electronics, and the High Level Trigger (HLT), a streamlined version of the CMS offline reconstruction software running on a computer farm. A software trigger system requires a tradeoff between the complexity of the algorithms running on the available computing power, the sustainable output rate, and the selection efficiency. Here we will present the performance of the main triggers used during the 2012 data taking, ranging from simpler single-object selections to more complex algorithms combining different objects, and applying analysis-level reconstruction and selection. We will discuss the optimisation of the triggers and the specific techniques to cope with the increasing LHC pile-up, reducing its impact on the physics performance.

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