Introduction
Eric suggested that looking at the The POCA distance (in sigma) from for tracks coming close to ACD tiles should give different distributions for tiles that are hit than for those that have no hit. Basically, this is saying that you expect tiles without hits to have track POCA that are more than 1 sigma from the tile active boundary. On the other hand hit tiles are expected to have POCA with negative sigma (distances inside the active tile). The cross-over from dominantly positive sigma POCAe to negative sigma should be a sharp feature which is present in the data and MC.
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For a set of CrProtons generated from a modified HEAD1.1365 of GR, I grab the projected and propagated covariant distances of POCA from ACD tile elements. After selecting for well reconstructed tracks, I split POCA into two sets: those corresponding to hit tiles, and those corresponding to unhit tiles. I then also plot the plot the distance (in covariant sigma) from the tile active element and the fraction of the total number of events at a given covariant distance which correspond to (un)hit tiles.
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CalTrackAngle < 0.1; //Well Reconstructed Tracks mipsPmtA() < 0.001 && mipsPmtB() < 0.001; //Hit Tile Definition CalTrackAngle < 0.1; // Track Quality Selection |
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