Created Lichen for ScienceRun1. Updated AmBe FV. Created NG FV

lax/lichens/sciencerun0.py

@@ -309,10 +309,11 @@ class AmBeFiducial(StringLichen):
     https://xecluster.lngs.infn.it/dokuwiki/lib/exe/fetch.php?media=xenon:xenon1t:hogenbirk:nr_band_sr0.html
 
     Contact: Erik Hogenbirk <ehogenbi@nikhef.nl>
-
+
+    Position updated to reflect correct I-Belt 1 position. Link to Note:xenon:xenon1t:analysis:dominick:sr1_ambe_check.
     """
-    version = 1
-    string = "(distance_to_source < 80) & (-83.45 < z) & (z < -13.45) & (sqrt(x*x + y*y) < 42.00)"
+    version = 2
+    string = "(distance_to_source < 103.5) & (-92.9 < z) & (z < -9) & (sqrt(x*x + y*y) < 42.00)"
 
     def pre(self, df):
         source_position = (55.965311731903, 43.724893639103577, -50)

lax/lichens/sciencerun1.py

@@ -0,0 +1,187 @@
+"""The cuts for science run 0
+
+This includes all current definitions of the cuts for the first science run
+"""
+
+# -*- coding: utf-8 -*-
+import inspect
+import os
+from pax import configuration
+
+PAX_CONFIG = configuration.load_configuration('XENON1T')
+from lax.lichen import ManyLichen, StringLichen
+from lax.lichens import sciencerun0
+from lax import __version__ as lax_version
+
+# Store the directory of our data files
+DATA_DIR = os.path.join(os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))),
+                        '..', 'data')
+
+
+class AllEnergy(ManyLichen):
+    """Cuts applicable for low and high energy (gammas)
+
+    This is a subset mostly of the low energy cuts.
+    """
+    version = lax_version
+
+    def __init__(self):
+        self.lichen_list = [
+            FiducialCylinder1T(),
+            InteractionExists(),
+            S2Threshold(),
+            InteractionPeaksBiggest(),
+            S2AreaFractionTop(),
+            S2SingleScatter(),
+            DAQVeto(),
+            S1SingleScatter(),
+            S1AreaFractionTop(),
+            S2PatternLikelihood(),
+            S2Tails()
+        ]
+
+
+class LowEnergyRn220(AllEnergy):
+    """Select Rn220 events with cs1<200
+
+    This is the list that we use for the Rn220 data to calibrate ER in the
+    region of interest.
+
+    It doesn't contain the PreS2Junk cut
+    """
+
+    def __init__(self):
+        AllEnergy.__init__(self)
+        # Replaces Interaction exists
+        self.lichen_list[1] = S1LowEnergyRange()
+
+        # Use a simpler single scatter cut
+        self.lichen_list[5] = S2SingleScatterSimple()
+
+        self.lichen_list += [
+            S1PatternLikelihood(),
+            S2Width(),
+            S1MaxPMT(),
+            SingleElectronS2s()
+        ]
+
+
+class LowEnergyBackground(LowEnergyRn220):
+    """Select background events with cs1<200
+
+    This is the list that we'll use for the actual DM search. Additionally to the
+    LowEnergyRn220 list it contains the PreS2Junk
+    """
+
+    def __init__(self):
+        LowEnergyRn220.__init__(self)
+
+        self.lichen_list += [
+            PreS2Junk(),
+        ]
+
+class LowEnergyAmBe(LowEnergyRn220):
+    """Select AmBe events with cs1<200 with appropriate cuts
+
+    It is the same as the LowEnergyRn220 cuts, except uses an AmBe fiducial.
+    """
+
+    def __init__(self):
+        LowEnergyRn220.__init__(self)
+
+        # Replaces Fiducial
+        self.lichen_list[0] = AmBeFiducial()
+
+class LowEnergyNG(LowEnergyRn220):
+    """Select AmBe events with cs1<200 with appropriate cuts
+
+    It is the same as the LowEnergyRn220 cuts, except uses an AmBe fiducial.
+    """
+
+    def __init__(self):
+        LowEnergyRn220.__init__(self)
+
+        # Replaces Fiducial
+        self.lichen_list[0] = NGFiducial()
+
+
+DAQVeto = sciencerun0.DAQVeto
+
+S2Tails = sciencerun0.S2Tails
+
+FiducialCylinder1T = sciencerun0.FiducialCylinder1T
+
+FiducialFourLeafClover1250kg = sciencerun0.FiducialFourLeafClover1250kg
+
+class AmBeFiducial(StringLichen):
+    """AmBe Fiducial volume cut.
+    This uses the same Z cuts as the 1T fiducial cylinder,
+    but a wider allowed range in R to maximize the number of nuclear recoils.
+    There is a third cut on the distance to the source, so that we cut away background ER.
+    Link to note:
+    https://xecluster.lngs.infn.it/dokuwiki/lib/exe/fetch.php?media=xenon:xenon1t:hogenbirk:nr_band_sr0.html
+
+    Contact: Erik Hogenbirk <ehogenbi@nikhef.nl>
+
+    Position updated to reflect correct I-Belt 1 position. Link to Note:xenon:xenon1t:analysis:dominick:sr1_ambe_check
+
+    """
+    version = 2
+    string = "(distance_to_source < 103.5) & (-92.9 < z) & (z < -9) & (sqrt(x*x + y*y) < 42.00)"
+
+    def pre(self, df):
+        source_position = (97, 43.5, -50)
+        df.loc[:, 'distance_to_source'] = ((source_position[0] - df['x']) ** 2 +
+                                           (source_position[1] - df['y']) ** 2 +
+                                           (source_position[2] - df['z']) ** 2) ** 0.5
+        return df
+
+class NGFiducial(StringLichen):
+    """NG Fiducial volume cut.
+    Early Implimentation og NG Fiducial Volume. Might not be Needed
+
+
+    Link to Note:xenon:xenon1t:analysis:dominick:sr1_ambe_check (By Dominic)
+
+
+    """
+    version = 0
+    string = "(distance_to_source < 111.5) & (-92.9 < z) & (z < -9) & (sqrt(x*x + y*y) < 42.00)"
+
+    def pre(self, df):
+        source_position = (31.6, 86.8, -50)
+        df.loc[:, 'distance_to_source'] = ((source_position[0] - df['x']) ** 2 +
+                                           (source_position[1] - df['y']) ** 2 +
+                                           (source_position[2] - df['z']) ** 2) ** 0.5
+        return df
+
+
+InteractionExists = sciencerun0.InteractionExists
+
+InteractionPeaksBiggest = sciencerun0.InteractionPeaksBiggest
+
+S1LowEnergyRange = sciencerun0.S1LowEnergyRange
+
+S1MaxPMT = sciencerun0.S1MaxPMT
+
+S1PatternLikelihood = sciencerun0.S1PatternLikelihood
+
+S1SingleScatter = sciencerun0.S1SingleScatter
+
+S2AreaFractionTop = sciencerun0.S2AreaFractionTop
+
+S2SingleScatter = sciencerun0.S2SingleScatter
+
+S2SingleScatterSimple = sciencerun0.S2SingleScatterSimple
+
+S2PatternLikelihood = sciencerun0.S2PatternLikelihood
+
+S2Threshold = sciencerun0.S2Threshold
+
+S2Width = sciencerun0.S2Width
+
+S1AreaFractionTop = sciencerun0.S1AreaFractionTop
+
+PreS2Junk = sciencerun0.PreS2Junk
+
+SingleElectronS2s = sciencerun0.SingleElectronS2s