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-- BASIC USE --
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./go_condor.sh 1077196776.31
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./go_condor.sh 1077244465.4
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./go_condor.sh 1077258668.57
./go_condor.sh 1077259372.74
./go_condor.sh 1077273466.5
./go_condor.sh 1077277959.92
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./go_condor.sh 1077361271.36
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./go_condor.sh 1077394467.1
./go_condor.sh 1077401175.14
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./go_condor.sh 1077407464.32
./go_condor.sh 1077411662.76
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./go_condor.sh 1077419467.67
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./go_condor.sh 1077432464.91
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./go_condor.sh 1077459660.89
./go_condor.sh 1077461466.01
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./go_condor.sh 1077484762.62
./go_condor.sh 1077485272.34
./go_condor.sh 1077486466.59
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./go_condor.sh 1077499463.83
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./go_condor.sh 1077513873.93
./go_condor.sh 1077515467.69
./go_condor.sh 1077524176.32
./go_condor.sh 1077524860.36
./go_condor.sh 1077528464.92
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./go_condor.sh 1077541462.15
./go_condor.sh 1077547272.85
./go_condor.sh 1077553465.5
./go_condor.sh 1077566462.75
./go_condor.sh 1077568776.35
./go_condor.sh 1077582466.6
./go_condor.sh 1077585975.78
./go_condor.sh 1077591370.16
./go_condor.sh 1077595463.84
./go_condor.sh 1077608461.07
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./go_condor.sh 1077609875.49
./go_condor.sh 1077612959.52
./go_condor.sh 1077620464.43
./go_condor.sh 1077620861.93
./go_condor.sh 1077631074.44
./go_condor.sh 1077631163.18
./go_condor.sh 1077631868.34
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./go_condor.sh 1077662462.74
./go_condor.sh 1077665067.08
burstinj/read_log.py 0 → 100644
View file @ 7ed5f878
from pylab import *
ion()
close('all')
log = open('BurstMDC-ER5BURST-Log.txt', 'r')
name = 'SG153Q8d9'
gps = []
hrss = []
for line in log:
spline = line.split()
if spline[0] == name:
print "Found waveform {0}".format(spline[0])
hrss.append( float(spline[1]) )
gps.append( float(spline[10]) )
hist( log10(hrss) )
loudtimes = [gps[i] for i in range(len(hrss)) if log10(hrss[i]) > -22.5]
print loudtimes
outfile = open('go_sg153.sh','w')
for time in loudtimes:
outfile.write("./go_condor.sh {0} \n".format(time) )
outfile.close()
burstinj/readlog2.py 0 → 100644
View file @ 7ed5f878
import numpy as np
namestring = "GravEn_SimID SimHrss SimEgwR2 GravEn_Ampl Internal_x Internal_phi External_x External_phi External_psi FrameGPS EarthCtrGPS SimName SimHpHp SimHcHc SimHpHc GEO GEOctrGPS GEOfPlus GEOfCross GEOtErr GEOcErr GEOsnr H1 H1ctrGPS H1fPlus H1fCross H1tErr H1cErr H1snr H2 H2ctrGPS H2fPlus H2fCross H2tErr H2cErr H2snr L1 L1ctrGPS L1fPlus L1fCross L1tErr L1cErr L1snr V1 V1ctrGPS V1fPlus V1fCross V1tErr V1cErr V1snr"
namelist = namestring.split()
data = np.recfromtxt('BurstMDC-ER5BURST-Log.txt', names=namelist)
waveform = data['SimName']
hrss = data['SimHrss']
phi = data['External_phi']
x = data['External_x']
theta = np.arccos(x)
dec = np.pi/2 - theta
gps = data['EarthCtrGPS']
sgname = 'SG153Q8d9'
wnbname = 'WNB_200_300_0d1'
ottname = 'processed_s15.0'
loudsg = [gps[i] for i in range(len(gps)) if (np.log10(hrss[i]) > -22.5) and (waveform[i] == sgname) ]
loudwnb = [gps[i] for i in range(len(gps)) if (np.log10(hrss[i]) > -22.5) and (waveform[i] == wnbname) ]
loudott = [gps[i] for i in range(len(gps)) if (hrss[i] > 1.8e-20) and (waveform[i] == ottname) ]
outfile = open('go_sg153.sh','w')
for time in loudsg:
outfile.write("./go_condor.sh {0} \n".format(time) )
outfile.close()
outfile = open('go_wnb.sh','w')
for time in loudwnb:
outfile.write("./go_condor.sh {0} \n".format(time) )
outfile.close()
outfile = open('go_ott.sh', 'w')
for time in loudott:
outfile.write("./go_condor.sh {0} \n".format(time) )
outfile.close()
burstinj/s6/BurstMDC-BRST_S6-Log.txt 0 → 100644
View file @ 7ed5f878
File suppressed by a .gitattributes entry or the file's encoding is unsupported.
burstinj/s6/H1_BURST_CAT2_LONG.txt 0 → 100644
View file @ 7ed5f878
This diff is collapsed.
burstinj/s6/H1_burst_cat2.txt 0 → 100644
View file @ 7ed5f878
This diff is collapsed.
burstinj/s6/L1_BURST_CAT2_LONG.txt 0 → 100644
View file @ 7ed5f878
This diff is collapsed.
burstinj/s6/L1_burst_cat2.txt 0 → 100644
View file @ 7ed5f878
This diff is collapsed.
burstinj/s6/V1_VSR3.txt 0 → 100644
View file @ 7ed5f878
965599233 965617905 18672
965621230 965639393 18163
965645093 965650107 5014
965658612 965673910 15298
965676884 965684994 8110
965685177 965685224 47
965687330 965687648 318
965687994 965721745 33751
965727456 965736030 8574
965743336 965752204 8868
965754519 965771377 16858
965784660 965829004 44344
965832906 965846749 13843
965847303 965865473 18170
965868599 965935330 66731
965940035 965999626 59591
966000205 966000339 134
966000354 966029375 29021
966029638 966029708 70
966029768 966032744 2976
966033008 966051933 18925
966081593 966096876 15283
966100601 966173595 72994
966181862 966193756 11894
966196090 966265977 69887
966266069 966282673 16604
966282713 966321201 38488
966321425 966326141 4716
966326228 966333119 6891
966334101 966343868 9767
966351849 966359908 8059
966362778 966367406 4628
966372401 966426413 54012
966427310 966430330 3020
966430488 966508294 77806
966509757 966526650 16893
966537511 966565097 27586
966566581 966570287 3706
966573040 966580308 7268
966598304 966599647 1343
966602124 966612663 10539
966616328 966623095 6767
966624811 966628228 3417
966629004 966661220 32216
966682594 966704942 22348
966704993 966714087 9094
966714488 966723567 9079
966724214 966763424 39210
966763757 966765117 1360
966770019 966771552 1533
966771995 966772388 393
966779164 966862525 83361
966866932 966867908 976
966867948 966891994 24046
966892469 966932733 40264
966939334 966984276 44942
966987661 966989364 1703
967000348 967070254 69906
967076879 967079302 2423
967084893 967085062 169
967123245 967151309 28064
967153034 967156103 3069
967161815 967193287 31472
967194543 967216565 22022
967220482 967220487 5
967220525 967261461 40936
967306256 967310890 4634
967318829 967345533 26704
967346434 967353972 7538
967358313 967359193 880
967371686 967378044 6358
967378657 967378798 141
967380942 967392709 11767
967392968 967411859 18891
967416249 967450317 34068
967456571 967468841 12270
967477250 967493786 16536
967497486 967506443 8957
967520309 967539037 18728
967539143 967544982 5839
967547324 967550398 3074
967555173 967556586 1413
967556651 967557599 948
967562930 967562938 8
967564204 967565428 1224
967583006 967620837 37831
967623474 967649677 26203
967660282 967706853 46571
967734318 967796691 62373
967800280 967804210 3930
967805587 967815389 9802
967816783 967870822 54039
967915828 967967101 51273
967969639 967969789 150
967969888 967970151 263
967970311 967984930 14619
967985970 967987550 1580
968583320 968590895 7575
968591091 968684211 93120
968689035 968709706 20671
968711134 968760020 48886
968763735 968862617 98882
968864033 968870858 6825
968873745 968967288 93543
968968164 969003274 35110
969010650 969024207 13557
969037736 969048763 11027
969049395 969077449 28054
969113987 969120889 6902
969124103 969176379 52276
969176861 969185534 8673
969186628 969199212 12584
969200570 969214023 13453
969214236 969215013 777
969216563 969220544 3981
969224453 969279638 55185
969280209 969285606 5397
969289177 969350813 61636
969350892 969354082 3190
969356974 969365014 8040
969370332 969490221 119889
969492057 969541577 49520
969542083 969591772 49689
969593546 969610224 16678
969621750 969627534 5784
969630559 969630793 234
969630804 969641112 10308
969642887 969661198 18311
969662959 969680078 17119
969680730 969685234 4504
969708984 969716671 7687
969720253 969725666 5413
969726497 969734375 7878
969734978 969803620 68642
969806348 969814300 7952
969814828 969818815 3987
969826598 969828008 1410
969830067 969855073 25006
969856515 969857479 964
969861741 969895691 33950
969898019 969912429 14410
969925851 969928049 2198
969929132 969962764 33632
969963528 969969738 6210
969976130 969979284 3154
969982242 969997945 15703
969998632 970055157 56525
970056513 970059490 2977
970060789 970091088 30299
970093592 970142705 49113
970145176 970188306 43130
970222908 970224474 1566
970227317 970258726 31409
970259639 970268164 8525
970341590 970383393 41803
970384125 970414266 30141
970417346 970425714 8368
970430535 970443428 12893
970444497 970446942 2445
970447973 970452949 4976
970454689 970456511 1822
970457933 970502775 44842
970504580 970507889 3309
970508082 970547107 39025
970559980 970574440 14460
970583762 970647797 64035
970651004 970811886 160882
970821736 970822889 1153
970827960 970829296 1336
970845121 970846717 1596
970857719 970890017 32298
970916011 970932113 16102
970936100 970947825 11725
970949203 970978625 29422
970981171 970991378 10207
970992985 971015163 22178
971015845 971045063 29218
971047096 971063391 16295
971065514 971085922 20408
971085948 971104622 18674
971104729 971118603 13874
971120193 971179677 59484
971192640 971225771 33131
971226568 971273085 46517
971276978 971329408 52430
971329478 971504457 174979
971521107 971535644 14537
971536680 971538134 1454
971538197 971557962 19765
burstinj/s6/make_cache.py 0 → 100644
View file @ 7ed5f878
import sys
import os
from glob import glob
# -- Archive directory
# /archive/frames/S6/Burst-MDC/GHLV-BRST_S6
# -- Cache file format
# H H1_ER_C00_L1 1074903984 4 file://localhost/archive/frames/ER5/hoft/H1/H-H1_ER_C00_L1-10749/H-H1_ER_C00_L1-1074903984-4.gwf
start = 961545615
end = 971654415
# ifo = 'GHLV'
# frtype = 'BRST_S6'
# basedir = '/archive/frames/S6/Burst-MDC/GHLV-BRST_S6'
basedir = '/archive/frames/S6/Burst-MDC/GHLV-ELPTC_S6'
sfour = 9615
efour = 9716
outfile = open('elptc_s6.cache','w')
for four in range(sfour, efour+1):
print "Starting directory " + str(four)
dirname = "{0}/GHLV-ELPTC_S6-{1}/".format(basedir, four)
filelist = glob(dirname + '*')
for filename in filelist:
head, tail = os.path.split(filename)
ifo, name, gps, dur = tail.split('-')
dur = dur[:-4]
# H H1_ER_C00_L1 1074903984 4 file://localhost/archive/frames/ER5/hoft/H1/H-H1_ER_C00_L1-10749/H-H1_ER_C00_L1-1074903984-4.gwf
outfile.write("{0} {1} {2} {3} file://localhost{4} \n".format(
ifo, name, gps, dur, filename))
outfile.close()
burstinj/s6/make_triggers.py 0 → 100644
View file @ 7ed5f878
import numpy as np
# -- Helper function for removing triggers outside a segment list
def find_in_segs(triglist, segs):
indx = np.zeros(len(triglist), dtype=bool)
for n in range(len(triglist)):
gps = triglist[n]
indx[n] = np.any( np.logical_and( gps>(segs['start']+8), gps<(segs['stop']-4)) )
return indx
namestring = """
GravEn_SimID SimHrss SimEgwR2 GravEn_Ampl Internal_x Internal_phi External_x External_phi External_psi FrameGPS EarthCtrGPS SimName
SimHpHp SimHcHc SimHpHc GEO GEOctrGPS GEOfPlus GEOfCross H1 H1ctrGPS H1fPlus H1fCross H2 H2ctrGPS H2fPlus
H2fCross L1 L1ctrGPS L1fPlus L1fCross V1 V1ctrGPS V1fPlus V1fCross
"""
namelist = namestring.split()
data = np.recfromtxt('BurstMDC-BRST_S6-Log.txt', names=namelist)
waveform = data['SimName']
hrss = data['SimHrss']
phi = data['External_phi']
x = data['External_x']
theta = np.arccos(x)
dec = np.pi/2 - theta
gps = data['EarthCtrGPS']
sgname = 'SG153Q8d9'
wnbname = 'WNB_100_100_0d1'
loudsg = [gps[i] for i in range(len(gps)) if (waveform[i] == sgname) and (gps[i] > 961545615) and (gps[i] < 971654415) ]
wnb = [gps[i] for i in range(len(gps)) if (waveform[i] == wnbname) and (gps[i] > 961545615)
and (gps[i] < 971654415) and (hrss[i]<3e-21)]
loudwnb = [gps[i] for i in range(len(gps)) if (waveform[i] == wnbname) and (gps[i] > 961545615)
and (gps[i] < 971654415) and (hrss[i]>3e-21)]
# ---------------------
# Read in segment lists
# ---------------------
segfmt = ['start', 'stop', 'dur']
h1segs = np.recfromtxt('H1_BURST_CAT2_LONG.txt', names=segfmt)
l1segs = np.recfromtxt('L1_BURST_CAT2_LONG.txt', names=segfmt)
v1segs = np.recfromtxt('V1_VSR3.txt', names=segfmt)
# -- Find which triggers are in the segment list somewhere
h1sg = find_in_segs(loudsg, h1segs)
l1sg = find_in_segs(loudsg, l1segs)
v1sg = find_in_segs(loudsg, v1segs)
ligoindx = np.logical_and(h1sg, l1sg)
indx = np.logical_and(ligoindx, v1sg)
goodsg = np.array(loudsg)[indx]
print "Found {0} SGs in good times".format(goodsg.size)
# -- Find which triggers are in the segment list somewhere
h1wnb = find_in_segs(wnb, h1segs)
l1wnb = find_in_segs(wnb, l1segs)
v1wnb = find_in_segs(wnb, v1segs)
ligoindx = np.logical_and(h1wnb, l1wnb)
indx = np.logical_and(ligoindx, v1wnb)
goodwnb = np.array(wnb)[indx]
print "Found {0} quiet WNB in good times".format(goodwnb.size)
# -- Find which triggers are in the segment list somewhere
h1 = find_in_segs(loudwnb, h1segs)
l1 = find_in_segs(loudwnb, l1segs)
v1 = find_in_segs(loudwnb, v1segs)
ligoindx = np.logical_and(h1, l1)
indx = np.logical_and(ligoindx, v1)
goodloudwnb = np.array(loudwnb)[indx]
print "Found {0} loud WNB in good times".format(goodloudwnb.size)
# -- Set how many triggers we want
N = 20
start = 21
stop = start + N
outfile = open('trigs_sg153.txt','w')
for time in goodsg[start:stop]:
outfile.write("{0} \n".format(time) )
outfile.close()
outfile = open('trigs_qwnb.txt','w')
for time in goodwnb[start:stop]:
outfile.write("{0} \n".format(time) )
outfile.close()
outfile = open('trigs_lwnb.txt','w')
for time in goodloudwnb[start:stop]:
outfile.write("{0} \n".format(time) )
outfile.close()
# outfile = open('setup_sg153','w')
# for time in goodsg[0:N]:
# outfile.write("./condor_setup.sh {0} \n".format(time) )
# outfile.close()
#outfile = open('setup_qwnb.sh','w')
#for time in goodwnb[0:N]:
# outfile.write("./condor_setup.sh {0} \n".format(time) )
#outfile.close()
#outfile = open('setup_lwnb.sh','w')
#for time in goodloudwnb[0:N]:
# outfile.write("./condor_setup.sh {0} \n".format(time) )
#outfile.close()
burstinj/s6/make_triggers_elptc.py 0 → 100644
View file @ 7ed5f878
import numpy as np
# -- Helper function for removing triggers outside a trigger list
def find_in_segs(triglist, segs):
indx = np.zeros(len(triglist), dtype=bool)
for n in range(len(triglist)):
gps = triglist[n]
indx[n] = np.any( np.logical_and( gps>(segs['start']+8), gps<(segs['stop']-4)) )
return indx
namestring = """
GravEn_SimID SimHrss SimEgwR2 GravEn_Ampl Internal_x Internal_phi External_x External_phi External_psi FrameGPS EarthCtrGPS SimName SimHpHp SimHcHc SimHpHc GEO GEOctrGPS GEOfPlus GEOfCross H1 H1ctrGPS H1fPlus H1fCross H2 H2ctrGPS H2fPlus H2fCross L1 L1ctrGPS L1fPlus L1fCross V1 V1ctrGPS V1fPlus V1fCross
"""
namelist = namestring.split()
data = np.recfromtxt('BurstMDC-ELPTC_S6-Log.txt', names=namelist)
waveform = data['SimName']
hrss = data['SimHrss']
phi = data['External_phi']
x = data['External_x']
theta = np.arccos(x)
dec = np.pi/2 - theta
gps = data['EarthCtrGPS']
sgname = 'SG153Q8d9'
wnbname = 'WNB_100_100_0d1'
loudsg = [gps[i] for i in range(len(gps)) if (waveform[i] == sgname) and (gps[i] > 961545615) and (gps[i] < 971654415) ]
# ---------------------
# Read in segment lists
# ---------------------
segfmt = ['start', 'stop', 'dur']
h1segs = np.recfromtxt('H1_BURST_CAT2_LONG.txt', names=segfmt)
l1segs = np.recfromtxt('L1_BURST_CAT2_LONG.txt', names=segfmt)
v1segs = np.recfromtxt('V1_VSR3.txt', names=segfmt)
# -- Find which triggers are in the segment list somewhere
h1sg = find_in_segs(loudsg, h1segs)
l1sg = find_in_segs(loudsg, l1segs)
v1sg = find_in_segs(loudsg, v1segs)
ligoindx = np.logical_and(h1sg, l1sg)
indx = np.logical_and(ligoindx, v1sg)
goodsg = np.array(loudsg)[indx]
print "Found {0} SGs in good times".format(goodsg.size)
# -- Set how many triggers we want
N = 20
outfile = open('trigs_elpsg153.txt','w')
for time in goodsg[0:N]:
outfile.write("{0} \n".format(time) )
outfile.close()
burstinj/s6/notes.txt 0 → 100644
View file @ 7ed5f878
Documentation here:
https://ldas-jobs.ligo.caltech.edu/~stuver/burst/MDC/S6/#BRST_S6
Notes from Amber:
The pages that this was well documented on were on the Penn State's servers. When Sam left the collaboration, these disappeared.
External is the source location in Earth fixed coordinates (not sky RA and Dec). External_x is the cosine of the co-declination of the source. So this is the cosine of the angle between the source and the north pole. External_phi the the angle from the intersection of the equator and the prime meridian.
This is well documented here: https://dcc.ligo.org/LIGO-T040020
I think that Keith Thorne also did some of the BurstMDC log documenting the old wikis. I will see if I can't dig something more complete up. (I always just linked to the PSU pages.)
Frame Files Live here:
/archive/frames/S6/Burst-MDC/GHLV-BRST_S6
Channel names are:
H1:GW-H, H2:GW-H, L1:GW-H, G1:GW-H, V1:GW-H, V1:GW-H16K
The additional Virgo channel (V1:GW-H16K) is the Virgo injection sampled at the LIGO sample rate of 16,384 Hz
All Sky PE challenge page:
https://wiki.ligo.org/Bursts/AllSkyPE
Target injections are:
BRST_S6 WNB_100_100_0d1 0.3
BRST_S6 SG153Q8d9 0.3
ELPTC_S6 SG153Q8d9 ; CG153Q8d9 0.3
Time Range is S6D
June 26 2010, 00:00 UTC time and ended on October 21 2010 00:00:00 UTC (971654415).
GPS Start: 961545615
GPS End: 971654415
Tried to find frames with:
ligo_data_find --show-types > types.txt
grep BRST types.txt
But this failed. I'll e-mail Dan.
Let's start by getting a list of gps times that we want.
Getting S6 segments sucks. In theory, it may be possible to follow these instructions:
https://www.lsc-group.phys.uwm.edu/daswg/wiki/S6OnlineGroup/ligolw_segments_from_cats
Probably, Michele could help me with this!
To clean short segments, I did this:
awk ' $3 > 100 ' H1_burst_cat2.txt > H1_BURST_CAT2_LONG.txt
condor/README.txt 0 → 100644
View file @ 7ed5f878
Running BayesWaveBurst with condor
For this example, the top level script is condor_setup.sh. It takes a single
argument - the gps time of your trigger.
./condor_setup.sh 1076894532.3
But, all the action happens in doit.sh. So, before you run condor_setup.sh
open up doit.sh in your favorite editor, and edit the bayesWave command and
frame type as needed.
I think that's it!
To check on your jobs while they are running, you can run:
condor_q USERNAME
You can also check the global state of condor with the same command:
condor_q
You can also monitor your jobs by monitoring the condor log, output, and error
logs that appear in the output directory, e.g.
tail -f <path-to-your-job>/condorOut.txt
condor/condor_setup.sh 0 → 100755
View file @ 7ed5f878
gps=$1
dirname=job_${gps}
rundir=${PWD}/${dirname}
sedstr=s/GPS/${gps}/g
sedstr2=s+TOP+${rundir}+g
mkdir job_${gps}
sed $sedstr submit.template > ${dirname}/submit_temp.txt
sed $sedstr2 ${dirname}/submit_temp.txt > ${dirname}/submit.txt
rm ${dirname}/submit_temp.txt
sed $sedstr2 doit.sh > ${dirname}/doit.sh
#-- Can also submit job right here!
# cd $dirname
# condor_submit submit.txt
# -- Add a line to the DAG File
echo "JOB $dirname ${PWD}/${dirname}/submit.txt" >> submit.dag
echo "RETRY $dirname 1" >> submit.dag
echo "" >> submit.dag
condor/doit.sh 0 → 100755
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#! /bin/sh
#gps=$1
#intgps=${gps%.*}
#start=`expr $intgps - 100`
#end=`expr $intgps + 100`
export LIGO_DATAFIND_SERVER=10.14.20.73:80
# Create Cache files
# ligo_data_find --observatory H --type H1_ER_C00_L1 -s $start -e $end --lal-cache | grep file > H.cache
# ligo_data_find --observatory L --type L1_ER_C00_L1 -s $start -e $end --lal-cache | grep file > L.cache
# ligo_data_find --observatory V --type V1Online -s $start -e $end --lal-cache | grep file > V.cache
# Quick example
# ~/bayeswave/trunk/src/BayesWaveBurst --ifo H1 --H1-flow 40 --H1-cache LALAdLIGO --H1-channel LALAdLIGO --trigtime 900000000.00 --srate 512 --seglen 4 --PSDstart 900000000 --PSDlength 4 --dataseed 1234 --gnuplot
/home/francesco.pannarale/bayeswave/trunk/src/BayesWaveBurst \
--ifo H1 --H1-flow 64 --H1-channel H1:LDAS-STRAIN \
--ifo L1 --L1-flow 64 --L1-channel L1:LDAS-STRAIN \
--H1-cache /home/francesco.pannarale/BayesWaveTest/H1.cache \
--L1-cache /home/francesco.pannarale/BayesWaveTest/L1.cache \
--L1-timeslide -26 \
--trigtime 965060683.311300 --srate 512 --seglen 8 \
--bayesLine --PSDstart 965060683.311300 --PSDlength 8 \
--Niter 2000000 --NCmin 15 --NCmax 50 --runName cluster \
--gnuplot
# /home/jkanner/baysewave/svn/trunk/src/BayesWaveBurst \
# --ifo H1 --H1-flow 40 --H1-channel H1:FAKE-STRAIN \
# --ifo L1 --L1-flow 40 --L1-channel L1:FAKE-STRAIN \
# --H1-cache H.cache \
# --L1-cache L.cache \
# --trigtime $gps --srate 1024 --seglen 8 \
# --bayesLine --PSDstart $gps --PSDlength 8 \
# --Niter 1000000 --NCmin 15 \
# --bayesLine --gnuplot \
# --MDC-channel [H1:FAKE-STRAIN_BURST,L1:FAKE-STRAIN_BURST] \
# --MDC-cache [H.cache,L.cache] \
# --MDC-prefactor 1 \
tar -cf chains.tar chains
tar -cf waveforms.tar waveforms
tar -cf snr.tar snr
condor/doit_er5_mdc.sh 0 → 100755
View file @ 7ed5f878
#! /bin/sh
gps=$1
intgps=${gps%.*}
start=`expr $intgps - 100`
end=`expr $intgps + 100`
export LIGO_DATAFIND_SERVER=10.14.20.73:80
# Create Cache files
ligo_data_find --observatory H --type H1_ER_C00_L1 -s $start -e $end --lal-cache | grep file > H.cache
ligo_data_find --observatory L --type L1_ER_C00_L1 -s $start -e $end --lal-cache | grep file > L.cache
ligo_data_find --observatory V --type V1Online -s $start -e $end --lal-cache | grep file > V.cache
/home/jkanner/baysewave/svn/trunk/src/BayesWaveBurst \
--ifo H1 --H1-flow 40 --H1-channel H1:FAKE-STRAIN \
--ifo L1 --L1-flow 40 --L1-channel L1:FAKE-STRAIN \
--H1-cache H.cache \
--L1-cache L.cache \
--trigtime $gps --srate 1024 --seglen 8 \
--bayesLine --PSDstart $gps --PSDlength 8 \
--Niter 1000000 --NCmin 15 \
--bayesLine --gnuplot \
--MDC-channel [H1:FAKE-STRAIN_BURST,L1:FAKE-STRAIN_BURST] \
--MDC-cache [H.cache,L.cache] \
--MDC-prefactor 1 \
tar -cf chains.tar chains
tar -cf waveforms.tar waveforms
tar -cf snr.tar snr