DOE Basic Research Needs Study (Community meeting for TDAQ)

Tuesday Dec 3, 2019, 2:30 PM → 5:30 PM America/Chicago

Darin Acosta (University of Florida), Tulika Bose (Boston University)

Community meeting for gathering input related to Trigger & DAQ for the DOE Basic Research Needs Study. For those located at Fermilab, the Racetrack conference room (WH7X) has been reserved.

Google Form for input https://docs.google.com/forms/d/e/1FAIpQLSebb0XcGhGA3wduXVdiqXyMIBBs0FDbpyfy0ORbGDzxG5R8ZA/viewform

Midterm report TDAQ-Midterm-report-draft.pdf

Zoom connection details TDAQ-Zoom-Instructions.txt

Zoom direct connection https://ufl.zoom.us/j/840079370

Zoom Recording https://ufl.zoom.us/recording/play/dmbhnuwFJEyV0g8Wx1DEA_M45F-X1WF9VegIeDLZY2ewAuVzpH71i_PPu_W7RFYj?continueMode=true

1 Introduction to the BRN study¶

Speakers: Darin Acosta (University of Florida), Prof. Tulika Bose (University of Wisconsin-Madison)

Slides BRN-TDAQ-ws-intro.pdf

2 Streaming DAQ: LHCb experience¶

Speaker: Michael Williams

Slides Williams_DOE_BRN.pdf

3 Streaming DAQ: Energy/Intensity Frontier needs/challenges¶

Speaker: Kai Chen

Slides Challenges_and_R&D_for_DAQ_in_Particle_Physics_Experiment.pdf

4 Streaming DAQ: cosmic frontier needs/challenges¶

Speaker: Anze Slosar

Slides https://docs.google.com/presentation/d/1FtjYYMgl6DRcwQOgf9nDvkSv3Kwt5ayxfQpx42PTwSM/edit?usp=sharing

5 Using the pixel detector for triggering¶

Speakers: Karl Ecklund, Peter Wittich

Slides 20191203_doe_tdaq_discussion.pdf PixelTriggering.pdf

6 Precision timing: Energy Frontier needs/challenges¶

Speaker: Isobel Ojalvo (University Wisconsin Madison)

Slides Precision_Timing_Trigger_BRN.pdf

7 Precision timing and synchronization: Intensity Frontier needs/challenges¶

Speakers: Jonathan Eisch, Matthew Wetstein

Slides Precision_timing_and_Syncrhonization-Intensity_Frontier.pdf

8 Fast machine learning for TDAQ (including brief status/needs across frontiers)¶

Speaker: Dr Phil Harris (MIT)

Transparents PCH_DOE_DAQ_12_2019.pdf

9 Tools (e.g. for streaming DAQ, fast ML, automation/self running DAQ,…)¶

Speakers: Mia Liu, Nhan Tran (Fermilab)

Slides futureTDAQ_Control_mia_nhan.pdf