NA62: The LKr Electronics Matt Huszagh. Installation & Setup (1/5) Crate Setup 8 vertical columns of 4 crates Almost all installed.

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Presentation transcript:

NA62: The LKr Electronics Matt Huszagh

Installation & Setup (1/5) Crate Setup 8 vertical columns of 4 crates Almost all installed

Installation & Setup (2/5) Calorimeter Readout Module Setup CREAMS: each crate contains 16 readout modules, one bridge and one motherboard (about half installed) Bridge: allows communication with the PC farm Motherboard: receives the L1 trigger from the PC farm and administers it to the CREAMs Ethernet connection: the creams send data via Ethernet ports to the switch, which then sends that data to the PC farm

Installation & Setup (3/5) The Switch Collects data from the CREAMs via Ethernet cables Combines data from all 16 CREAMS into a single 10Gb/s Ethernet connection, which is then sent up to the PC farm We have all of these installed but only 4 are currently configured There is also a problem with fitting the backplane behind the switches

Installation & Setup (4/5) The Trigger Administers the L1 trigger from the PC farm to each motherboard, which in turn administers the trigger to each individual CREAM

Installation & Setup (5/5) LKr Channels These channels send an analog signal from the LKr tank to each CREAM These are all in place, but few are actually connected I have not had any role in connecting these

Real Data / Equipment Testing (1/2) First real data! Data was acquired from 4 crates (64 CREAMS; 2048 channels) during a short period of time We can only take data for a short time currently because the cooling system is not yet installed I wrote and implemented a code which plotted a histogram of each channel and extracted the mean and sigma values I then plotted two histograms of all mean and all sigma values and fit them with a Gaussian I included the underflow and overflow to make sure no data was outside the range of each histogram Good result!

Real Data / Equipment Testing (2/2) This code is time-sensitive because it extracts the fit parameters of 2048 histograms currently and will eventually need to do so for 16,384 histograms I implemented two different methods for the same desired output Method 1: – creates a temporary array of 32 histograms (corresponding to all channels of a single CREAM) – The two final histograms (mean and sigma) are filled with the Gaussian fits of all 32 histograms – The array of histograms is emptied and refilled when the data from a different CREAM is being analyzed. Method 2: – creates an array of all 2048 histograms and iterates through to fill them with data – fits all 2048 histograms iteratively and extracts the mean and sigma values, which are then passed to the final histograms Method 1: ~3 minutes Method 2: >1hour