This file is indexed.

/usr/bin/rivet-mergeruns is in rivet 1.8.3-1.1.

This file is owned by root:root, with mode 0o755.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
#! /usr/bin/env python

"""%prog

Script for merging parts of multiple histo files made with different run params
(kinematic pT cuts and energies) into one histo file for plotting or further
analysis.

TODO:
 * take merge specs from a conf file instead of hard-coding
 * generalise to more generic merge ranges (i.e. not just sqrts & pT)
 * improve cmd line interface
 * rationalise all histogramming formats... remove AIDA!
 * use lighthisto (then YODA)

Usage example:
 $ uemerge hwpp/hpp-1800-{030.aida:1800:30,090.aida:1800:90} > hpp-hists.dat
 $ flat2aida hpp-hists.dat
 $ mkdir plots && cd plots
 $ compare_histos.py ../ref04.aida ../hpp-hists.aida
 $ make_plot.py --pdf *.dat
"""

import sys
if sys.version_info[:3] < (2,4,0):
    print "rivet scripts require Python version >= 2.4.0... exiting"
    sys.exit(1)

import os, copy, re
from math import sqrt


def mean(*args):
    total, num = 0, 0
    for a in args:
        if a is not None:
            total += a
            num += 1
    return total / float(num)


## TODO: replace with lighthisto
class Histo:
    def __init__(self):
        self.clear()

    def clear(self):
        self._bins = []
        self.path = None
        self.name = None
        self.title = None
        self.xtitle = None
        self.ytitle = None

    def __cmp__(self, other):
        """Sort by $path/$name string"""
        return self.fullPath() > other.fullPath()

    def __str__(self):
        out = "Histogram '%s' with %d bins\n" % (self.fullPath(), self.numBins())
        if self.title:
            out += "Title: %s\n" % self.title
        if self.xtitle:
            out += "XLabel: %s\n" % self.xtitle
        if self.ytitle:
            out += "YLabel: %s\n" % self.ytitle
        out += "\n".join([str(b) for b in self.getBins()])
        return out

    def fullPath(self):
        return os.path.join(self.path, self.name)

    def asFlat(self):
        #global headerprefix
        headerprefix = ""
        global opts
        out = "# BEGIN HISTOGRAM %s\n" % self.fullPath()
        out += headerprefix + "AidaPath=%s\n" % self.fullPath()
        if self.title:
            out += headerprefix + "Title=%s\n" % self.title
        if self.xtitle:
            out += headerprefix + "XLabel=%s\n" % self.xtitle
        if self.ytitle:
            out += headerprefix + "YLabel=%s\n" % self.ytitle
        try:
            out += "## Area: %s\n" % self.area()
        except:
            out += "## Area: UNKNOWN (invalid bin details)"
        out += "## Num bins: %d\n" % self.numBins()
#         if opts.GNUPLOT:
#             out += "## xval  \tyval    \txlow    \txhigh    \tylow     \tyhigh\n"
#         else:
        #out += "## xlow  \txhigh   \tyval    \tyerrminus\tyerrplus\n"
        out += "\n".join([b.asFlat() for b in self.getBins()])
        out += "\n# END HISTOGRAM"
        return out

    def numBins(self):
        return len(self._bins)

    def getBins(self):
        return sorted(self._bins)

    def setBins(self, bins):
        self._bins = bins
        return self

    def setBin(self, index, bin):
        self._bins[index] = bin
        return self

    def addBin(self, bin):
        self._bins.append(bin)
        return self

    def getBin(self, index):
        self._bins.sort()
        return self.getBins()[index]

    bins = property(getBins, setBins)

    def area(self):
        return sum([bin.area() for bin in self.bins])

    def __iter__(self):
        return iter(self.getBins())

    def __len__(self):
        return len(self._bins)

    def __getitem__(self, index):
        return self.getBin(index)


## TODO: replace with lighthisto
class Bin:
    """A simple container for a binned value with an error."""
    def __init__(self, xlow=None, xhigh=None, yval=0, yerrplus=0, yerrminus=0, focus=None):
        self.xlow = xlow
        self.xhigh= xhigh
        self.yval = yval
        self.yerrplus = yerrplus
        self.yerrminus = yerrminus
        self.focus= focus

    def clear(self):
        #self.xlow = None
        #self.xhigh= None
        self.yval = 0
        self.yerrplus = 0
        self.yerrminus = 0
        self.focus= None

    def __str__(self):
        meanyerr = None
        try:
            meanyerr = mean(self.yerrplus, self.yerrminus)
        except:
            pass
        out = "%s to %s: %s +- %s" % (str(self.xlow), str(self.xhigh), str(self.yval), str(meanyerr))
        return out

    def asFlat(self):
        global opts
#         if opts.GNUPLOT:
#             out = "%e\t%e\t%e\t%e\t%e\t%e" % (self.getBinCenter(), self.yval,
#                                               self.xlow, self.xhigh,
#                                               self.yval-self.yerrminus, self.yval+self.yerrplus)
#         else:
        out = "%e\t%e\t%e\t%e" % (self.xlow, self.xhigh, self.yval, 0.5*(self.yerrminus+self.yerrplus))
        return out

    def __cmp__(self, other):
        """Sort by mean x value (yeah, I know...)"""
        rtn = True
        lhnone = (self.xlow is None or self.xhigh is None)
        rhnone = (other.xlow is None or other.xhigh is None)
        somenones = lhnone or rhnone
        if somenones:
            if lhnone == rhnone:
                return 0
            elif lhnone:
                return -1
            else:
                return 1;
        else:
            return cmp(self.xlow + self.xhigh, other.xlow + other.xhigh)

    def getXRange(self):
        return (self.xlow, self.xhigh)

    def setXRange(self, xlow, xhigh):
        self.xlow = xlow
        self.xhigh = xhigh
        return self

    def getBinCenter(self):
        """Geometric middle of the bin range."""
        return self.xlow + .5*(self.xhigh - self.xlow)

    def getFocus(self):
        """Mean x-value of the bin."""
        if self.focus is not None:
            return (self.xlow + self.xhigh)/2.0
        else:
            return self.focus

    def area(self):
        return self.yval * (self.xhigh - self.xlow)

    def getYErr(self):
        """Get mean of +ve and -ve y-errors."""
        return (self.yerrplus + self.yerrminus)/2.0

    def setYErr(self, yerr):
        """Set both +ve and -ve y-errors simultaneously."""
        self.yerrplus = yerr
        self.yerrminus = yerr
        return self



## Try to load faster but non-standard cElementTree module
try:
    import xml.etree.cElementTree as ET
except ImportError:
    try:
        import cElementTree as ET
    except ImportError:
        try:
            import xml.etree.ElementTree as ET
        except:
            sys.stderr.write("Can't load the ElementTree XML parser: please install it!\n")
            sys.exit(1)


## TODO: replace with lighthisto
def mkHistoFromDPS(dps):
    """Make a mini histo representation from an AIDA dataPointSet tag."""
    myhist = Histo()
    myhist.name = dps.get("name")
    myhist.title = dps.get("title")
    myhist.path = dps.get("path")
    dims = dps.findall("dimension")
    for d in dims:
        if d.get("dim") == "0":
            myhist.xtitle = d.get("title")
        elif d.get("dim") == "1":
            myhist.ytitle = d.get("title")
    points = dps.findall("dataPoint")
    numbins = len(points)
    for binnum, point in enumerate(points):
        bin = Bin()
        for d, m in enumerate(point.findall("measurement")):
            val  = float(m.get("value"))
            down = float(m.get("errorMinus"))
            up = float(m.get("errorPlus"))
            if d == 0:
                low  = val - down
                high = val + up
                bin.setXRange(low, high)
            elif d == 1:
                bin.yval = val
                bin.yerrplus = up
                bin.yerrminus = down
        myhist.addBin(bin)
    return myhist



#############################################



def fillAbove(desthisto, sourcehistosbyptmin):
    for i, b in enumerate(desthisto.getBins()):
        ## Fill bins with pT-ordered histos (so that 'highest always wins')
        for ptmin, h in sorted(sourcehistosbyptmin.iteritems()):
            newb = h.getBin(i)
            if newb.xlow >= float(ptmin):
                desthisto.setBin(i, newb)
                ##### This logging line breaks the output!!!!!!!
                ####logging.debug("Copied: %s / %s" % (str(b), str(histosS[hpath][sqrts].getBin(i))) )

def mergeByPt(hpath, sqrts):
    global inhistos
    global outhistos
    try:
        fillAbove(outhistos[hpath], inhistos[hpath][sqrts])
    except:
        pass

def useOnePt(hpath, sqrts, ptmin):
    global inhistos
    global outhistos
    try:
        ## Find best pT_min match
        ptmins = inhistos[hpath][sqrts].keys()
        closest_ptmin = None
        for ptm in ptmins:
            if closest_ptmin is None or \
                    abs(float(ptm)-float(ptmin)) < abs(closest_ptmin-float(ptmin)):
                closest_ptmin = float(ptm)
        if closest_ptmin != float(ptmin):
            logging.warning("Inexact match for requested pTmin=%s: " % ptmin + \
                                "using pTmin=%e instead" % closest_ptmin)
        outhistos[hpath] =  inhistos[hpath][sqrts][closest_ptmin]
    except:
        pass



#######################################




if __name__ == "__main__":
    import logging
    from optparse import OptionParser, OptionGroup
    parser = OptionParser(usage="%prog aidafile:sqrts:minpt aidafile2:sqrts:minpt [...]")
    parser.add_option("-o", "--out", dest="OUTFILE", default="-")
    parser.add_option("--append", dest="APPEND_OUTPUT", action="store_true", default=False)
    verbgroup = OptionGroup(parser, "Verbosity control")
    verbgroup.add_option("-v", "--verbose", action="store_const", const=logging.DEBUG, dest="LOGLEVEL",
                         default=logging.INFO, help="print debug (very verbose) messages")
    verbgroup.add_option("-q", "--quiet", action="store_const", const=logging.WARNING, dest="LOGLEVEL",
                         default=logging.INFO, help="be very quiet")
    parser.add_option_group(verbgroup)
    (opts, args) = parser.parse_args()
    logging.basicConfig(level=opts.LOGLEVEL, format="%(message)s")


    ## Prefix used in dat file headers
    headerprefix = "# "


    ## Check args
    if len(args) < 1:
        logging.error("Must specify at least one AIDA histogram file")
        sys.exit(1)


    ## Get histos
    inhistos = {}
    weights = {}
    try:
        for aidafile_ptmin in args:
            aidafile, sqrts, ptmin = None, None, None
            try:
                aidafile, sqrts, ptmin = aidafile_ptmin.rsplit(":", 2)
            except ValueError, v:
                raise Exception("Did you supply the file arguments in the 'name:sqrts:ptmin' format?")


            ## Parse this AIDA file as XML
            if not os.access(aidafile, os.R_OK):
                logging.error("%s can not be read" % aidafile)
                break
            try:
                tree = ET.parse(aidafile)
            except:
                logging.error("%s can not be parsed as XML" % aidafile)
                break
            tree = ET.parse(aidafile)


            ## Get histos from this AIDA file
            for dps in tree.findall("dataPointSet"):
                h = mkHistoFromDPS(dps)
                if not inhistos.has_key(h.fullPath()):
                    inhistos[h.fullPath()] = {}
                tmpE = inhistos[h.fullPath()]
                if not tmpE.has_key(sqrts):
                    tmpE[sqrts] = {}
                tmpP = tmpE[sqrts]
                if not tmpP.has_key(float(ptmin)):
                    tmpP[float(ptmin)] = h
                else:
                    raise Exception("A set with sqrt(s) = %s, and ptmin = %s already exists" % (sqrts, ptmin))
    except Exception, e:
        logging.error("Danger, Will Robinson!")
        logging.error(str(e))
        sys.exit(1)


    ## Make empty output histos
    outhistos = {}
    for hpath, hsets in sorted(inhistos.iteritems()):
        logging.debug(hpath + " " + str(dict([(sqrts, hsets[sqrts].keys()) for sqrts in hsets.keys()])))
        workhisto = copy.deepcopy(hsets.values()[0].values()[0])
        logging.debug(workhisto)
        outhistos[hpath] = workhisto
        ## There's no reason to merge reference histos
        if re.match(r'^/REF.*', hpath):
            continue
        ## Empty the bin set for histos which we're going to merge
        for b in outhistos[hpath]:
            b.clear()
        logging.debug(outhistos[hpath])


    ######

    ## ATLAS dijet azimuthal decorrelation
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y01", "7000", "110")
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y02", "7000", "160")
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y03", "7000", "210")
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y04", "7000", "260")
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y05", "7000", "310")
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y06", "7000", "400")
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y07", "7000", "500")
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y08", "7000", "600")
    useOnePt("/ATLAS_2011_S8971293/d01-x01-y09", "7000", "800")

    ## ATLAS jet shapes
    useOnePt("/ATLAS_2011_S8924791/d01-x01-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x01-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x02-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x02-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x03-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x03-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x04-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x04-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x05-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x05-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x06-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d01-x06-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d02-x01-y01", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x01-y02", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x02-y01", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x02-y02", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x03-y01", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x03-y02", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x04-y01", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x04-y02", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x05-y01", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x05-y02", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x06-y01", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d02-x06-y02", "7000", "40")
    useOnePt("/ATLAS_2011_S8924791/d03-x01-y01", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x01-y02", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x02-y01", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x02-y02", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x03-y01", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x03-y02", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x04-y01", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x04-y02", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x05-y01", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x05-y02", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x06-y01", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d03-x06-y02", "7000", "60")
    useOnePt("/ATLAS_2011_S8924791/d04-x01-y01", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x01-y02", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x02-y01", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x02-y02", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x03-y01", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x03-y02", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x04-y01", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x04-y02", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x05-y01", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x05-y02", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x06-y01", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d04-x06-y02", "7000", "80")
    useOnePt("/ATLAS_2011_S8924791/d05-x01-y01", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x01-y02", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x02-y01", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x02-y02", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x03-y01", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x03-y02", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x04-y01", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x04-y02", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x05-y01", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x05-y02", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x06-y01", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d05-x06-y02", "7000", "110")
    useOnePt("/ATLAS_2011_S8924791/d06-x01-y01", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x01-y02", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x02-y01", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x02-y02", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x03-y01", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x03-y02", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x04-y01", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x04-y02", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x05-y01", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x05-y02", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x06-y01", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d06-x06-y02", "7000", "160")
    useOnePt("/ATLAS_2011_S8924791/d07-x01-y01", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x01-y02", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x02-y01", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x02-y02", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x03-y01", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x03-y02", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x04-y01", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x04-y02", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x05-y01", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x05-y02", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x06-y01", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d07-x06-y02", "7000", "210")
    useOnePt("/ATLAS_2011_S8924791/d08-x01-y01", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x01-y02", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x02-y01", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x02-y02", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x03-y01", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x03-y02", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x04-y01", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x04-y02", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x05-y01", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x05-y02", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x06-y01", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d08-x06-y02", "7000", "260")
    useOnePt("/ATLAS_2011_S8924791/d09-x01-y01", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x01-y02", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x02-y01", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x02-y02", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x03-y01", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x03-y02", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x04-y01", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x04-y02", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x05-y01", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x05-y02", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x06-y01", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d09-x06-y02", "7000", "310")
    useOnePt("/ATLAS_2011_S8924791/d10-x01-y01", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x01-y02", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x02-y01", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x02-y02", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x03-y01", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x03-y02", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x04-y01", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x04-y02", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x05-y01", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x05-y02", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x06-y01", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d10-x06-y02", "7000", "400")
    useOnePt("/ATLAS_2011_S8924791/d11-x01-y01", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x01-y02", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x02-y01", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x02-y02", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x03-y01", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x03-y02", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x04-y01", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x04-y02", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x05-y01", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x05-y02", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x06-y01", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d11-x06-y02", "7000", "500")
    useOnePt("/ATLAS_2011_S8924791/d12-x01-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x01-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x02-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x02-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x03-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x03-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x04-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x04-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x05-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x05-y02", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x06-y01", "7000", "30")
    useOnePt("/ATLAS_2011_S8924791/d12-x06-y02", "7000", "30")

    ## Field analysis
    logging.info("Processing CDF_2001_S4751469")
    ## Angular distributions in different pT bins
    useOnePt("/CDF_2001_S4751469/d01-x01-y01", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d01-x01-y02", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d01-x01-y03", "1800", "30")
    useOnePt("/CDF_2001_S4751469/d02-x01-y01", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d02-x01-y02", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d02-x01-y03", "1800", "30")
    ## Number, profile in pT_lead (True?)
    useOnePt("/CDF_2001_S4751469/d03-x01-y01", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d03-x01-y02", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d03-x01-y03", "1800", "0")
    mergeByPt("/CDF_2001_S4751469/d04-x01-y01", "1800")
    mergeByPt("/CDF_2001_S4751469/d04-x01-y02", "1800")
    mergeByPt("/CDF_2001_S4751469/d04-x01-y03", "1800")
    ## pT sums, profile in pT_lead (True?)
    useOnePt("/CDF_2001_S4751469/d05-x01-y01", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d05-x01-y02", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d05-x01-y03", "1800", "0")
    mergeByPt("/CDF_2001_S4751469/d06-x01-y01", "1800")
    mergeByPt("/CDF_2001_S4751469/d06-x01-y02", "1800")
    mergeByPt("/CDF_2001_S4751469/d06-x01-y03", "1800")
    ## pT distributions (use a specific pT cut run?)
    useOnePt("/CDF_2001_S4751469/d07-x01-y01", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d07-x01-y02", "1800", "0")
    useOnePt("/CDF_2001_S4751469/d07-x01-y03", "1800", "30")

    ## Acosta analysis
    logging.info("Processing CDF_2004_S5839831")
    ## Mean pT, profile in ET_lead
    mergeByPt("/CDF_2004_S5839831/d01-x01-y01", "1800")
    mergeByPt("/CDF_2004_S5839831/d01-x01-y02", "1800")
    ## pT_max,min, profiles in ET_lead
    mergeByPt("/CDF_2004_S5839831/d02-x01-y01", "1800")
    mergeByPt("/CDF_2004_S5839831/d02-x01-y02", "1800")
    mergeByPt("/CDF_2004_S5839831/d02-x01-y03", "1800")
    ## pT distributions (want to use a specific pT cut run)
    useOnePt("/CDF_2004_S5839831/d03-x01-y01", "1800", "40")
    useOnePt("/CDF_2004_S5839831/d03-x01-y02", "1800", "80")
    useOnePt("/CDF_2004_S5839831/d03-x01-y03", "1800", "120")
    useOnePt("/CDF_2004_S5839831/d03-x01-y04", "1800", "160")
    useOnePt("/CDF_2004_S5839831/d03-x01-y05", "1800", "200")
    ## N_max,min, profiles in ET_lead
    mergeByPt("/CDF_2004_S5839831/d04-x01-y01", "1800")
    mergeByPt("/CDF_2004_S5839831/d04-x01-y02", "1800")
    ## Min bias dbs (want to use min bias pT cut)
    useOnePt("/CDF_2004_S5839831/d05-x01-y01", "1800", "0")
    useOnePt("/CDF_2004_S5839831/d06-x01-y01", "1800", "0")
    ## Swiss Cheese, profile in ET_lead
    mergeByPt("/CDF_2004_S5839831/d07-x01-y01", "1800")
    mergeByPt("/CDF_2004_S5839831/d07-x01-y02", "1800")
    ## pT_max,min, profiles in ET_lead
    mergeByPt("/CDF_2004_S5839831/d08-x01-y01", "630")
    mergeByPt("/CDF_2004_S5839831/d08-x01-y02", "630")
    mergeByPt("/CDF_2004_S5839831/d08-x01-y03", "630")
    ## Swiss Cheese, profile in ET_lead
    mergeByPt("/CDF_2004_S5839831/d09-x01-y01", "630")
    mergeByPt("/CDF_2004_S5839831/d09-x01-y02", "630")
    ## Min bias dbs (want to use min bias pT cut)
    useOnePt("/CDF_2004_S5839831/d10-x01-y01", "630", "0")
    useOnePt("/CDF_2004_S5839831/d11-x01-y01", "630", "0")

    ## CDF jet shape analysis
    logging.info("Processing CDF_2005_S6217184")
    useOnePt("/CDF_2005_S6217184/d01-x01-y01", "1960", "37")
    useOnePt("/CDF_2005_S6217184/d01-x01-y02", "1960", "37")
    useOnePt("/CDF_2005_S6217184/d01-x01-y03", "1960", "37")
    useOnePt("/CDF_2005_S6217184/d02-x01-y01", "1960", "63")
    useOnePt("/CDF_2005_S6217184/d02-x01-y02", "1960", "63")
    useOnePt("/CDF_2005_S6217184/d02-x01-y03", "1960", "63")
    useOnePt("/CDF_2005_S6217184/d03-x01-y01", "1960", "63")
    useOnePt("/CDF_2005_S6217184/d03-x01-y02", "1960", "112")
    useOnePt("/CDF_2005_S6217184/d03-x01-y03", "1960", "112")
    useOnePt("/CDF_2005_S6217184/d04-x01-y01", "1960", "112")
    useOnePt("/CDF_2005_S6217184/d04-x01-y02", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d04-x01-y03", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d05-x01-y01", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d05-x01-y02", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d05-x01-y03", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d06-x01-y01", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d06-x01-y02", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d06-x01-y03", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d07-x01-y01", "1960", "37")
    useOnePt("/CDF_2005_S6217184/d07-x01-y02", "1960", "37")
    useOnePt("/CDF_2005_S6217184/d07-x01-y03", "1960", "37")
    useOnePt("/CDF_2005_S6217184/d08-x01-y01", "1960", "63")
    useOnePt("/CDF_2005_S6217184/d08-x01-y02", "1960", "63")
    useOnePt("/CDF_2005_S6217184/d08-x01-y03", "1960", "63")
    useOnePt("/CDF_2005_S6217184/d09-x01-y01", "1960", "63")
    useOnePt("/CDF_2005_S6217184/d09-x01-y02", "1960", "112")
    useOnePt("/CDF_2005_S6217184/d09-x01-y03", "1960", "112")
    useOnePt("/CDF_2005_S6217184/d10-x01-y01", "1960", "112")
    useOnePt("/CDF_2005_S6217184/d10-x01-y02", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d10-x01-y03", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d11-x01-y01", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d11-x01-y02", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d11-x01-y03", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d12-x01-y01", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d12-x01-y02", "1960", "166")
    useOnePt("/CDF_2005_S6217184/d12-x01-y03", "1960", "166")
    mergeByPt("/CDF_2005_S6217184/d13-x01-y01", "1960")

    ## CDF dijet mass spectrum
    mergeByPt("/CDF_2008_S8093652/d01-x01-y01", "1960")

    ## Rick Field Run-II Leading Jets UE analysis
    logging.info("Processing CDF_2010_S8591881_QCD")
    ## charged particle density
    mergeByPt("/CDF_2010_S8591881_QCD/d10-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d10-x01-y02", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d10-x01-y03", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d11-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d11-x01-y02", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d11-x01-y03", "1960")
    ## pT sum density
    mergeByPt("/CDF_2010_S8591881_QCD/d12-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d12-x01-y02", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d12-x01-y03", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d13-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d13-x01-y02", "1960")
    mergeByPt("/CDF_2010_S8591881_QCD/d13-x01-y03", "1960")
    ## mean pT
    mergeByPt("/CDF_2010_S8591881_QCD/d14-x01-y01", "1960")
    ## pT max
    mergeByPt("/CDF_2010_S8591881_QCD/d15-x01-y01", "1960")
    ##
    ## And again, with the deprecated name:
    ##
    logging.info("Processing CDF_2008_LEADINGJETS")
    ## charged particle density
    mergeByPt("/CDF_2008_LEADINGJETS/d01-x01-y01", "1960")
    mergeByPt("/CDF_2008_LEADINGJETS/d02-x01-y01", "1960")
    mergeByPt("/CDF_2008_LEADINGJETS/d03-x01-y01", "1960")
    mergeByPt("/CDF_2008_LEADINGJETS/d04-x01-y01", "1960")
    ## pT sum density
    mergeByPt("/CDF_2008_LEADINGJETS/d05-x01-y01", "1960")
    mergeByPt("/CDF_2008_LEADINGJETS/d06-x01-y01", "1960")
    mergeByPt("/CDF_2008_LEADINGJETS/d07-x01-y01", "1960")
    mergeByPt("/CDF_2008_LEADINGJETS/d08-x01-y01", "1960")
    ## mean pT
    mergeByPt("/CDF_2008_LEADINGJETS/d09-x01-y01", "1960")

    ## Rick Field / Deepak Kar Run-II Drell-Yan UE analysis
    logging.info("Processing CDF_2010_S8591881_DY")
    ## charged particle density
    mergeByPt("/CDF_2010_S8591881_DY/d01-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d01-x01-y02", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d01-x01-y03", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d02-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d02-x01-y02", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d02-x01-y03", "1960")
    ## pT sum density
    mergeByPt("/CDF_2010_S8591881_DY/d03-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d03-x01-y02", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d03-x01-y03", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d04-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d04-x01-y02", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d04-x01-y03", "1960")
    ## mean pT
    mergeByPt("/CDF_2010_S8591881_DY/d05-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d05-x01-y02", "1960")
    ## max pT
    mergeByPt("/CDF_2010_S8591881_DY/d06-x01-y01", "1960")
    mergeByPt("/CDF_2010_S8591881_DY/d06-x01-y02", "1960")
    ##
    #useOnePt("/CDF_2010_S8591881_DY/d07-x01-y01", "1960", "10")
    #useOnePt("/CDF_2010_S8591881_DY/d08-x01-y01", "1960", "10")
    #useOnePt("/CDF_2010_S8591881_DY/d09-x01-y01", "1960", "10")
    ##
    ## And again, with the deprecated name:
    ##
    logging.info("Processing CDF_2008_NOTE_9351")
    ## charged particle density
    mergeByPt("/CDF_2008_NOTE_9351/d01-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d02-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d03-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d04-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d05-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d06-x01-y01", "1960")
    ## pT sum density
    mergeByPt("/CDF_2008_NOTE_9351/d07-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d08-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d09-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d10-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d11-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d12-x01-y01", "1960")
    ## mean pT
    mergeByPt("/CDF_2008_NOTE_9351/d13-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d14-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d15-x01-y01", "1960")
    ## max pT
    mergeByPt("/CDF_2008_NOTE_9351/d16-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d17-x01-y01", "1960")
    mergeByPt("/CDF_2008_NOTE_9351/d18-x01-y01", "1960")
    ##
    #useOnePt("/CDF_2008_NOTE_9351/d19-x01-y01", "1960", "10")
    #useOnePt("/CDF_2008_NOTE_9351/d20-x01-y01", "1960", "10")
    #useOnePt("/CDF_2008_NOTE_9351/d21-x01-y01", "1960", "10")

    ## D0 dijet correlation analysis
    logging.info("Processing D0_2004_S5992206")
    useOnePt("/D0_2004_S5992206/d01-x02-y01", "1960", "50")
    useOnePt("/D0_2004_S5992206/d02-x02-y01", "1960", "75")
    useOnePt("/D0_2004_S5992206/d03-x02-y01", "1960", "100")
    useOnePt("/D0_2004_S5992206/d04-x02-y01", "1960", "150")

    ## D0 incl jet cross-section analysis
    logging.info("Processing D0_2008_S7662670")
    mergeByPt("/D0_2008_S7662670/d01-x01-y01", "1960")
    mergeByPt("/D0_2008_S7662670/d02-x01-y01", "1960")
    mergeByPt("/D0_2008_S7662670/d03-x01-y01", "1960")
    mergeByPt("/D0_2008_S7662670/d04-x01-y01", "1960")
    mergeByPt("/D0_2008_S7662670/d05-x01-y01", "1960")
    mergeByPt("/D0_2008_S7662670/d06-x01-y01", "1960")

    ## STAR inclusive jet cross-section
    logging.info("Processing STAR_2006_S6870392")
    useOnePt("/STAR_2006_S6870392/d01-x01-y01", "200", "0")
    mergeByPt("/STAR_2006_S6870392/d02-x01-y01", "200")

    ## STAR underlying event (Helen Caines)
    logging.info("Processing STAR_2009_UE_HELEN")
    mergeByPt("/STAR_2009_UE_HELEN/d01-x01-y01", "200")
    mergeByPt("/STAR_2009_UE_HELEN/d02-x01-y01", "200")
    mergeByPt("/STAR_2009_UE_HELEN/d03-x01-y01", "200")

    ## Choose output file
    out = None
    if opts.OUTFILE == "-":
        out = sys.stdout
    else:
        if opts.APPEND_OUTPUT:
            out = open(opts.OUTFILE, "a")
        else:
            out = open(opts.OUTFILE, "w")


    ## Write out merged histos
    for hpath, h in sorted(outhistos.iteritems()):
        logging.debug("hpath = %s" % hpath)
        out.write(h.asFlat() + "\n\n")


    sys.exit(0)
    ## Write to multiple auto-named dat files
    for hpath, h in sorted(outhistos.iteritems()):
        logging.debug("hpath = %s" % hpath)
        safename = hpath.replace("/", "_") + ".dat"
        if safename[0] == "_":
            safename = safename[1:]
        logging.info("Writing histo to %s" % safename)
        f = open(safename, "w")
        f.write(h.asFlat() + "\n")
        f.close()