SnowMass2021

User Tools

Site Tools

Trace:
instrumentation:trigger

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
instrumentation:trigger [2021/11/04 10:42] – [Upcoming TDAQ events] wketchuminstrumentation:trigger [2022/05/25 08:17] (current) – [IF4: Trigger and DAQ] petramerkel
Line 2: Line 2:
 Co-Conveners: Co-Conveners:
 ^Name ^Institution ^email | ^Name ^Institution ^email |
-|Darin Acosta|University of Florida|acostad[at]ufl.edu|+|Darin Acosta|University of Florida|dea6[at]rice.edu| 
 +|Allison Deiana|Southern Methodist University|adeiana[at]mail.smu.edu|
 |Wes Ketchum|Fermi National Accelerator Laboratory|wketchum[at]fnal.gov| |Wes Ketchum|Fermi National Accelerator Laboratory|wketchum[at]fnal.gov|
-|Stephanie Majewski|University of Oregon|smajewsk[at]uoregon.edu| 
  
 =====Communication ===== =====Communication =====
Line 12: Line 12:
  
 ===== Upcoming TDAQ events===== ===== Upcoming TDAQ events=====
-  * 9 Nov 2021: White paper organization workshop: https://indico.fnal.gov/event/51566/+  * 9 Nov 2021 -- White paper organization workshop: https://indico.fnal.gov/event/51566/
  
 ===== Previous TDAQ/IF events===== ===== Previous TDAQ/IF events=====
Line 23: Line 23:
 Trigger and Data Acquisition (TDAQ) systems are responsible for collecting data at the very front-end of detectors, reducing the volume of data through use of selection algorithms and summarizing data into high-level quantities, and storing the data for later transfer and processing. The next generation of physics detectors will encounter many new challenges, including requirements to handle an enormous throughput of data, have high reliability and uptime in extreme environments, and accommodate fast timing and precise synchronization. Trigger and Data Acquisition (TDAQ) systems are responsible for collecting data at the very front-end of detectors, reducing the volume of data through use of selection algorithms and summarizing data into high-level quantities, and storing the data for later transfer and processing. The next generation of physics detectors will encounter many new challenges, including requirements to handle an enormous throughput of data, have high reliability and uptime in extreme environments, and accommodate fast timing and precise synchronization.
  
-We invite Letters Of Interest to outline developments in the area of TDAQ across the science frontiers of high-energy particle physics. In particular, we welcome contributions that touch on the following areas:+We invite Letters Of Interest and White Papers to outline developments in the area of TDAQ across the science frontiers of high-energy particle physics. In particular, we welcome contributions that touch on the following areas:
   * High-speed data links and transfers, including radiation-hard and low-power links   * High-speed data links and transfers, including radiation-hard and low-power links
   *  Real-time processing hardware, like low-power hardware capable of working in extreme environments like high radiation or cryogenic temperatures, and real-time hardware capable of real-time feature extraction, including fast inference for machine-learning algorithms   *  Real-time processing hardware, like low-power hardware capable of working in extreme environments like high radiation or cryogenic temperatures, and real-time hardware capable of real-time feature extraction, including fast inference for machine-learning algorithms
instrumentation/trigger.1636040576.txt.gz · Last modified: 2021/11/04 10:42 by wketchum
Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki