Commit 388589ee authored by Simon Spannagel's avatar Simon Spannagel
Browse files

Merge branch 'cleanup_analysis_dut' into 'master'

Small clean-up of [AnalysisDUT]

See merge request !405
parents a53a8e53 3d876795
Pipeline #2472884 failed with stages
in 17 minutes and 14 seconds
......@@ -66,25 +66,20 @@ void AnalysisDUT::initialize() {
m_detector->displacement().z() + 10);
// Per-pixel histograms
hHitMapAssoc = new TH2F("hitMapAssoc",
"Hit map of associated clusters; hit column; hit row",
"Hit map of pixels from associated clusters; hit column; hit row",
m_detector->nPixels().X(),
-0.5,
m_detector->nPixels().X() - 0.5,
m_detector->nPixels().Y(),
-0.5,
m_detector->nPixels().Y() - 0.5);
hHitMapROI = new TH2F("hitMapROI",
"Map of hits within the region-of-interest; hit column; hit row",
m_detector->nPixels().X(),
-0.5,
m_detector->nPixels().X() - 0.5,
m_detector->nPixels().Y(),
-0.5,
m_detector->nPixels().Y() - 0.5);
hPixelRawValueAssoc = new TH1F(
"pixelRawValueAssoc", "Charge distribution of associated pixels;pixel raw value;#entries", 1024, -0.5, 1023.5);
hPixelRawValueAssoc = new TH1F("pixelRawValueAssoc",
"Charge distribution of pixels from associated clusters;pixel raw value;#entries",
1024,
-0.5,
1023.5);
hPixelRawValueMapAssoc = new TProfile2D("pixelRawValueMapAssoc",
"Charge map of associated pixels;pixel raw values;# entries",
"Charge map of pixels from associated clusters;pixel raw values;# entries",
m_detector->nPixels().X(),
-0.5,
m_detector->nPixels().X() - 0.5,
......
......@@ -37,7 +37,7 @@ namespace corryvreckan {
std::shared_ptr<Detector> m_detector;
// Histograms
TH2F *hClusterMapAssoc, *hHitMapAssoc, *hHitMapROI;
TH2F *hClusterMapAssoc, *hHitMapAssoc;
TProfile2D *hClusterSizeMapAssoc, *hClusterChargeMapAssoc;
TH1F* hPixelRawValueAssoc;
......
......@@ -19,7 +19,7 @@ For the DUT, the following plots are produced:
* 2D histograms:
* Maps of the position, size, and charge/raw value of associated clusters
* Maps of all pixels of associated clusters and those within the region-of-interest
* Maps of all pixels of associated clusters
* Maps of the in-pixel efficiencies in local/global coordinates
* Maps of matched/non-matched track positions
* 1D histograms:
......
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