Modeling Event Arrival Time in Simulation

Exploring the simulation modeling of event arrival time using a random number formula and understanding the implications through probability distributions and time calculations. Additionally, analyzing small event simulations in STAR DAQ TPC DAQ and discussing data transfer modeling, as well as diving into the details of a specific STAR run and its processes.

• Event Simulation
• Probability Distribution
• Data Transfer
• Simulation Modeling
• STAR Run

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Uploaded on Sep 28, 2024 | 0 Views

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1. Homework! Choose one (or more) of the following: 1. The time for an event to arrive can be modeled in a simulation by letting x be a random number between 0 and 1, and applying the formula: ? = 1 ?log 1 ? Where r is the average rate. Convince yourself this is true! Hints: a. assume a constant probability per bunch crossing b. use 1 ??= ? ?? time between events for small x, large xn, to get the probability distribution for the ? ? ?? = ?? ???? c. Think about the curve under the probability distribution as a set of boxes numbered from t=0. Integrating to time t gives the an index for that time d. Solve for the time...

2. Small Event Simulation of STAR DAQ TPC DAQ 2. Using the small event simulation: a.What is the source of the linear deadtime below 1500hz? b.What is the source of the curved deadtime above 1500hz? c.Why are the curves for ps=10 sharper? d.What would the happen if the number of TPC buffers were increased or decreased?

3. 3. Data transfers typically are modeled as taking time: TransferTime = Latency + ThroughputRate * sz Choose a parameter: a.Disk write speed b.Disk read speed c.Ethernet transfer speed d.Memcpy() speed And plot transfer time vs transfer size! It s very likely that this will NOT result in solid results. Why?

4. 4. Choose a STAR run and describe what is being done Ask me for a good run! Study and understand the web pages Ask me! https://online.star.bnl.gov -> Trigger Versioning -> DAQ Monitoring -> Online QA Histograms