Endcap HV Cable Reshuffling

Resistive Plate Chambers

The Resistive Plate Chambers (RPC) are gaseous detectors that can identify the passage of charged particles with good time resolution (from 1 ns to 50 ps) and spatial resolution (up to 30 μm ). They are suitable for experiments that need fast space-time particle detection.

An RPC consists of two parallel plates made with a high-pressure plastic laminate of a phenol resin: bakelite. The plates have a resistivity of $10^{10}- 10^{ 11} \Omega cm$, separated by a gas which occupies a few millimeters. The outer layers of bakelite are covered with graphite paint to form the electrodes of the chamber. One acts as the ground, and the other has a determined potential for the measurement of the ionization produced in the chamber. The output signal is obtained on aluminium strips that are separated by an insulating material (mylar or PET film).

rpc-schema.png

Operation Modes

RPCs can operate in different modes. In "streamer mode" the RPC operates with a strong electric field that produces localized gas discharges in the region near the passage of the ionizing particle, however this mode allows few counts per unit area ($\sim 100 Hz/cm^{2} $). Another mode of operation is the "avalanche mode", where the electric field between the plates decreases (in comparison with streamer mode), and the output signal is amplified. The reduction in voltage reduces the charge generated in the ionization and increase the counting capacity of the chamber. The electrons produced by the ionisation due to the presence of charged particles in the gas are multiplied in avalanche mode by a uniform electric field of about 4.5 kV/mm.

RPC distribution in the CMS experiment

The barrel region of the CMS experiment is equipped with 480 RPC dual chambers, while the endcap region is equipped with 216 dual chambers in the positive endcap and 216 chambers in the negative endcap. In the RPC upgrade it has been installed additional 144 RPC chambers in the endcap region (72 in the positive and 72 in the negative) for a total of 1056 RPC chambers for the entire CMS experiment operating in avalanche mode. (See figure 2)

rpc_dist.png

The RPC Efficiency

The CMS-Muon-System redundancy allows RPC efficiency studies using the readout of other muon-subdetectors (DT/CSC). Using Local Reconstruction algorithms (at chamber level) we can have tags and probes to estimate the RPC efficiency. In this case, the tag is a segment, of a muon track, extrapolated to the RPC surface under study and the probe is the matching RPC-readout with the extrapolation. The efficiency is measured by extrapolating the segments associated to a STA-μ (Stand Alone Muon). Once the efficiency is known, a fit with the following sigmoid function is done:

  \begin{displaymath} Eff= \frac{Eff_{max}}{1+e^{s(HV-HV_{50})}} \end{displaymath} (1)

The parameters of the fit are:

  • "Eff max" is the maximum efficiency, the asymptotic value that the efficiency is approaching when HV → ∞
  • "HV 50" is the HV applied such that the efficiency is Eff max /2
  • "s" is just a scale factor, determines how "horizontal" is the sigmoid.

Apart form the parameters of the fit, the following points of interest are defined:

  • The knee ≡ 0.95 Eff max
  • Working Point Barrel ≡ knee +100V
  • Working Point Endcap ≡ knee +150V
When these parameters are well identified we can say that a given eta-partition is characterized. Once the Working Point has been identified, one can get its HV value and define it as the optimal working point for the chamber under study. For the RPC system it is not possible to set different HV values for every eta-partition. It is necessary to do a "convolution" for the different eta-partition that are fed by the very same HV channel.

Typical High Voltage scan fit parameters

High Voltage scans were performed at the beginning of the 2011 and of the 2012 proton-proton LHC running, aiming at determining the optimal operating HV for each individual chamber. Thevariation of the environmental pressure P and the temperature T inside the CMS cavern was taken into account using the following formula: ...

The goals for the HV scan are:

  • To study the efficiency as a function of the High Voltage for all the RPC chambers.
  • To find the best working High Voltage for every chamber.
  • To assure high efficiency
  • To minimize pressure and temperature dependency
  • To avoid increasing cluster-size
The points were taken between 8.5kV to 9.7kV (points already corrected by pressure)

hv_scan.png

Task

  • Reshuffle endcap HV cables (RE1, RE2, RE3) to group chambers with close working points.

Goal

  • Bring actual working point for every chamber close to ideal WP.

Context

  • 432 chambers in total (endcap only).
  • 13 chambers were removed due to bad fit or bad behavior (can be done separately).
  • Number of channels < Number of chambers.
  • Distributors are 4 to 1, therefore two chambers will have the same voltage.

Distributors (Back)

Imagen1.jpg

Distributors (Front)

Imagen2.jpg

Channels

Imagen3.jpg

Physical Constraint

Split every group of interchangeable chambers (in red color) according to rack placement (54 each).

Imagen4.png

Algorithm

Find one working point per chamber. If ( maxroll < (minroll +100V)) Yes: maxroll No: (minroll + 100V)

Imagen5.png

Find one working point for every two chambers. Difference was not big take the greater WP.

Imagen6.png

Working Point Distributions per Chamber

Imagen1.png

Imagen2.png

Efficiency Comparison per roll

Imagen3.png

Efficiency Stability after and before reshuffling

Imagen41.png Efficiency as a function of (working point +100 Volts) minus efficiency as a function of (working point -100 Volts) by roll.

Code Explanation

step1final.cpp

Input:

Combineda.txt - This is a text file that contains all the data from the HV scan

Function:

  1. The irrelevant data is removed from the text file. Only rollnames and working points remain.
  2. The data in Combineda.txt is given per roll. Since we want to apply the same HV to the whole chamber, these values must be combined. This code performs this function :
wpc = (avg > minroll+0.1)? minroll+0.1 : maxroll

It averages the three values. If the average is greater than the minimum of the three values by 100 V or more, it takes the working point as min + 100V, else it takes the maxroll.

Output:

  1. Endcap Only2.txt - A list of all the endcap chambers and their working points.
  2. Barrel Only.txt - A list of all the barrel chambers and their working points.
  3. After Combined.txt - A list of all the chambers and their working points.
  4. Roll Diff.txt - A list of all the chambers with the difference of the maxroll - minroll

step2a_sort.cpp

Inputs:

Endcap Only2.txt - From Step 1

Function:

This code sorts "Endcap Only2.txt" entries by name. This will make it easier to group the chambers that are interchangeable together.

Output:

Endcap Only Sort2.txt: This is a text file that has all the endcap chambers sorted by name.

-- AndresCabrera - 2014-12-17

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PNGpng Imagen2.png r1 manage 75.8 K 2014-12-17 - 21:48 AndresCabrera  
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PNGpng Imagen41.png r1 manage 59.6 K 2014-12-17 - 21:54 AndresCabrera  
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PNGpng hv_scan.png r1 manage 92.2 K 2015-01-16 - 18:00 AndresCabrera  
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