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name
large_stringlengths
6
15
gps
float64
815M
1.42B
catalog
large_stringclasses
12 values
run
large_stringclasses
7 values
mass_1
float64
1.46
137
⌀
mass_1_lower
float64
-70
-0.1
⌀
mass_1_upper
float64
0.12
166
⌀
mass_2
float64
1.17
101
⌀
mass_2_lower
float64
-51
-0.06
⌀
mass_2_upper
float64
0.07
36
⌀
chirp_mass
float64
1.19
101
⌀
chirp_mass_lower
float64
-30
-0
⌀
chirp_mass_upper
float64
0
44
⌀
luminosity_distance
float64
40
9k
⌀
luminosity_distance_lower
float64
-6,000
-15
⌀
luminosity_distance_upper
float64
7
13.9k
⌀
redshift
float64
0.01
1.2
⌀
redshift_lower
float64
-0.8
0
⌀
redshift_upper
float64
0
1.54
⌀
chi_eff
float64
-0.6
0.7
⌀
chi_eff_lower
float64
-1.2
-0.01
⌀
chi_eff_upper
float64
0.02
1
⌀
network_snr
float64
4.5
68.9
⌀
network_snr_lower
float64
-3
-0.11
⌀
network_snr_upper
float64
0.07
2.7
⌀
p_astro
float64
0.05
1
⌀
far
float64
0
140
⌀
final_mass
float64
2.8
222
⌀
final_mass_lower
float64
-47
-0.4
⌀
final_mass_upper
float64
0.7
169
⌀
GRB051103
815,043,278
Initial_LIGO_Virgo
Initial
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
blind_injection
968,654,557.9
Initial_LIGO_Virgo
Initial
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
GW150914
1,126,259,462.4
GWTC-2.1-confident
O3a
34.6
-2.6
4.4
30
-4.6
2.9
27.9
-1.5
1.7
470
-160
140
0.1
-0.03
0.03
-0.04
-0.14
0.12
26
-0.2
0.1
null
null
61.5
-2.9
3.4
151008
1,128,348,574.5
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
8.8
null
null
null
10.17
null
null
null
151012.2
1,128,666,662.2
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.6
null
null
null
8.56
null
null
null
GW151012
1,128,678,900.4
GWTC-2.1-confident
O3a
24.8
-6.3
14.5
13.6
-4.9
4.5
15.6
-1.5
2.3
1,000
-490
640
0.2
-0.09
0.11
0.12
-0.21
0.28
9.3
-0.5
0.3
null
null
37.1
-4.6
10.6
151116
1,131,748,925.7
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9
null
null
null
4.77
null
null
null
GW151226
1,135,136,350.6
GWTC-2.1-confident
O3a
14.2
-3.6
11.1
7.5
-2.8
2.4
8.9
-0.3
0.3
460
-200
160
0.1
-0.04
0.03
0.2
-0.08
0.23
12.7
-0.4
0.3
null
null
20.7
-1.6
8.6
161202
1,164,686,041.9
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
10.5
null
null
null
6
null
null
null
161217
1,165,994,201.4
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
10.7
null
null
null
10.12
null
null
null
GW170104
1,167,559,936.6
GWTC-2.1-confident
O3a
28.7
-4.2
6.6
20.8
-4.7
4.1
21.1
-1.5
2
1,110
-480
390
0.22
-0.09
0.07
-0.04
-0.19
0.15
13.8
-0.3
0.2
null
null
47.5
-3.4
4.5
170208
1,170,585,583.8
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
10
null
null
null
11.18
null
null
null
170219
1,171,548,267
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.6
null
null
null
6.26
null
null
null
170405
1,175,425,510.7
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.3
null
null
null
4.55
null
null
null
170412
1,176,047,817
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.7
null
null
null
8.22
null
null
null
170423
1,176,984,663
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
8.9
null
null
null
6.47
null
null
null
GW170608
1,180,922,494.5
GWTC-2.1-confident
O3a
10.6
-1.4
4
7.8
-1.9
1.2
7.9
-0.2
0.2
340
-130
120
0.07
-0.03
0.03
0.05
-0.05
0.13
15.3
-0.3
0.2
null
null
17.7
-0.6
2.1
170616
1,181,677,658.8
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.1
null
null
null
1.94
null
null
null
170630
1,182,874,645.8
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.7
null
null
null
10.46
null
null
null
170705
1,183,279,534.3
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.3
null
null
null
10.97
null
null
null
170720
1,184,625,889.8
GWTC-1-marginal
O1/O2
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
13
null
null
null
10.75
null
null
null
GW170729
1,185,389,807.3
GWTC-2.1-confident
O3a
54.7
-12.8
12.7
30.2
-10.2
11.9
34.6
-5.7
7
2,490
-1,230
1,690
0.44
-0.19
0.24
0.29
-0.33
0.25
10.7
-0.5
0.4
null
null
80.3
-10.2
13.5
GW170809
1,186,302,519.8
GWTC-2.1-confident
O3a
34.1
-5.3
8
24.2
-5.3
4.8
24.8
-1.6
2.2
1,070
-380
310
0.21
-0.07
0.05
0.07
-0.17
0.17
12.8
-0.3
0.2
null
null
55.7
-3.6
5
GW170814
1,186,741,861.5
GWTC-2.1-confident
O3a
30.9
-3.3
5.4
24.9
-4
3
24.1
-1.2
1.4
610
-230
160
0.13
-0.05
0.03
0.08
-0.12
0.13
17.7
-0.3
0.2
null
null
53.2
-2.7
3.2
GW170817
1,187,008,882.4
GWTC-1-confident
O1/O2
1.46
-0.1
0.12
1.27
-0.09
0.09
1.186
-0.001
0.001
40
-15
7
0.01
0
0
0
-0.01
0.02
33
null
null
1
0
2.8
null
null
GW170818
1,187,058,327.1
GWTC-2.1-confident
O3a
34.8
-4.2
6.5
27.6
-5.1
4.1
26.8
-2
2.3
1,080
-410
430
0.21
-0.07
0.07
-0.06
-0.22
0.19
12
-0.4
0.3
null
null
59.7
-4.2
4.9
GW170823
1,187,529,256.5
GWTC-2.1-confident
O3a
38.3
-6.2
9.5
29
-7.8
6.5
28.6
-3.3
4.5
1,970
-930
840
0.36
-0.15
0.13
0.05
-0.22
0.21
12.2
-0.3
0.2
null
null
63.9
-6.8
9.6
GW190403_051519
1,238,303,737.2
GWTC-2.1-confident
O3a
85
-33
27.8
20
-8.4
26.3
34
-8.4
15.1
8,280
-4,290
6,720
1.18
-0.53
0.73
0.68
-0.43
0.16
7.6
-1.1
0.6
0.60924
7.7
102.2
-24.3
26.3
GW190408_181802
1,238,782,700.3
IAS-O3a
O3a
25
-4
45
18
-8
5
18
-3
9
1,600
-800
1,000
0.3
-0.14
0.15
0
-0.7
0.6
14.3
null
null
1
0.001
null
null
null
GW190412
1,239,082,262.1
IAS-O3a
O3a
31
-13
15
8
-2
6
13.3
-0.9
1.6
700
-300
400
0.15
-0.07
0.06
0.2
-0.4
0.4
17.9
null
null
1
0.001
null
null
null
GW190413_052954
1,239,168,612.5
IAS-O3a
O3a
33
-7
39
23
-13
7
24
-6
6
4,000
-2,000
3,000
0.7
-0.4
0.4
0
-0.7
0.5
8.78
null
null
0.83
0.24
null
null
null
GW190413_134308
1,239,198,206.7
IAS-O3a
O3a
56
-16
75
29
-16
15
34
-10
17
4,000
-2,000
4,000
0.6
-0.3
0.5
0
-0.7
0.6
9.62
null
null
1
0.001
null
null
null
GW190421_213856
1,239,917,954.2
IAS-O3a
O3a
43
-9
91
31
-15
14
31
-6
25
2,800
-1,600
2,300
0.5
-0.3
0.3
-0.1
-0.7
0.6
10.5
null
null
1
0.001
null
null
null
GW190424_180648
1,240,164,426.1
GWTC-2.1-auxiliary
O3a
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
10.093977
null
null
0.121102
9.038786
null
null
null
GW190425
1,240,215,503
GWTC-2.1-confident
O3a
2.1
-0.4
0.5
1.3
-0.2
0.3
1.44
-0.02
0.02
150
-60
80
0.03
-0.01
0.02
0.07
-0.05
0.07
12.4
-0.4
0.4
0.78349
0.034
null
null
null
GW190426_152155
1,240,327,333.3
GWTC-2.1-marginal
O3a
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
10.12
null
null
null
0.91
null
null
null
GW190426_190642
1,240,340,820.6
GWTC-2.1-confident
O3a
105.5
-24.1
45.3
76
-36.5
26.2
76
-17.4
19.1
4,580
-2,280
3,400
0.73
-0.32
0.41
0.23
-0.41
0.42
8.7
-0.6
0.4
0.75053
4.1
172.9
-33.6
37.7
GW190503_185404
1,240,944,862.3
IAS-O3a
O3a
42
-7
78
31
-16
9
31
-7
20
1,600
-800
1,300
0.31
-0.16
0.19
-0.1
-0.6
0.7
11.9
null
null
1
0.001
null
null
null
GW190512_180714
1,241,719,652.4
IAS-O3a
O3a
24
-7
25
12
-5
5
14.4
-1.3
3.5
1,600
-700
800
0.29
-0.12
0.14
0.1
-0.5
0.5
12.6
null
null
1
0.001
null
null
null
GW190513_205428
1,241,816,086.7
IAS-O3a
O3a
41
-14
58
18
-6
14
23
-4
17
2,400
-1,200
2,000
0.42
-0.19
0.28
0.3
-0.7
0.4
12
null
null
1
0.001
null
null
null
GW190514_065416
1,241,852,074.8
IAS-O3a
O3a
39
-9
80
28
-13
14
29
-6
22
4,000
-2,000
5,000
0.6
-0.3
0.6
-0.4
-0.5
1
8.4
null
null
0.98
0.0034
null
null
null
GW190517_055101
1,242,107,479.8
IAS-O3a
O3a
39
-9
75
27
-14
10
28
-6
18
2,200
-1,200
4,600
0.39
-0.18
0.61
0.6
-0.8
0.3
10.4
null
null
1
0.001
null
null
null
GW190519_153544
1,242,315,362.4
IAS-O3a
O3a
62
-14
93
41
-23
14
43
-13
19
3,000
-1,600
3,000
0.5
-0.2
0.4
0.4
-1
0.3
14.5
null
null
1
0.001
null
null
null
GW190521
1,242,442,967.4
GWTC-2.1-confident
O3a
98.4
-21.7
33.6
57.2
-30.1
27.1
63.3
-14.6
19.6
3,310
-1,800
2,790
0.56
-0.27
0.36
-0.14
-0.45
0.5
14.3
-0.4
0.5
0.99989
0.0013
147.4
-16
40
GW190521_074359
1,242,459,857.4
IAS-O3a
O3a
43
-6
80
35
-17
8
33
-7
23
1,000
-500
800
0.21
-0.1
0.13
0.1
-0.7
0.4
24
null
null
1
0.001
null
null
null
GW190527_092055
1,242,984,073.8
IAS-O3a
O3a
39
-11
70
24
-13
17
26
-6
21
3,100
-1,700
5,200
0.5
-0.2
0.7
0.3
-0.8
0.4
8.62
null
null
0.92
0.093
null
null
null
GW190531_023648
1,243,305,426.3
GWTC-2.1-marginal
O3a
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.951
null
null
null
0.41
null
null
null
GW190602_175927
1,243,533,585.1
IAS-O3a
O3a
73
-17
98
44
-25
19
49
-14
21
3,000
-1,900
2,600
0.5
-0.3
0.4
0.2
-0.9
0.4
12.4
null
null
1
0.001
null
null
null
GW190620_030421
1,245,035,079.3
GWTC-2.1-confident
O3a
58
-13.3
19.2
35
-14.5
13.1
38.1
-7.2
8.5
2,910
-1,320
1,710
0.5
-0.2
0.23
0.34
-0.29
0.22
12.1
-0.4
0.3
0.98748
0.011
88
-12.4
17.2
GW190630_185205
1,245,955,943.1
GWTC-2.1-confident
O3a
35.1
-5.5
6.5
24
-5.2
5.5
25.1
-2.1
2.2
870
-360
530
0.18
-0.07
0.09
0.1
-0.13
0.14
16.4
-0.3
0.2
1
0.00001
56.6
-4.5
4.4
GW190701_203306
1,246,048,404.5
GWTC-2.1-confident
O3a
54.1
-8
12.6
40.5
-12.1
8.7
40.2
-5
5.4
2,090
-740
770
0.38
-0.12
0.11
-0.08
-0.31
0.23
11.2
-0.4
0.2
0.99986
0.0057
90.2
-8.9
11.2
GW190704_104834
1,246,272,532.7
IAS-O3a
O3a
7
-2
9
3.1
-2.3
1.4
4.13
-2.29
0.16
500
-190
10,520
0.1
-0.03
1.38
0.2
-0.6
0.4
8.89
null
null
0.81
0.35
null
null
null
GW190706_222641
1,246,487,219.3
IAS-O3a
O3a
67
-17
103
38
-20
20
42
-10
25
5,000
-3,000
3,000
0.8
-0.5
0.4
0.4
-1
0.3
13.1
null
null
1
0.001
null
null
null
GW190707_083226
1,246,523,564.9
IAS-O3a
O3a
52
-14
78
32
-19
15
35
-10
16
4,000
-2,000
5,000
0.6
-0.3
0.6
-0.2
-0.7
0.8
8.28
null
null
0.94
0.043
null
null
null
GW190707_093326
1,246,527,224.1
IAS-O3a
O3a
11.5
-1.8
16.4
8.3
-4.6
1.4
8.5
-0.7
0.6
800
-300
600
0.17
-0.07
0.09
-0.08
-0.16
0.59
12.7
null
null
1
0.001
null
null
null
GW190708_232457
1,246,663,515.3
GWTC-2.1-confident
O3a
19.8
-4.3
4.3
11.6
-2
3.1
13.1
-0.6
0.9
930
-390
310
0.19
-0.07
0.06
0.05
-0.1
0.1
13.4
-0.3
0.2
0.99965
0.00031
30.1
-2.1
2.9
GW190711_030756
1,246,849,694.6
IAS-O3a
O3a
90
-50
60
20
-9
25
33
-8
28
2,500
-1,300
4,300
0.4
-0.2
0.6
0.3
-0.8
0.6
8.97
null
null
0.93
0.09
null
null
null
GW190718_160159
1,247,500,937.3
IAS-O3a
O3a
11
-3
14
6.3
-4.3
1.9
7.1
-3.1
0.7
1,500
-700
7,900
0.28
-0.11
1.03
0.7
-0.8
0.2
8.43
null
null
0.53
2.1
null
null
null
GW190719_215514
1,247,608,532.9
IAS-O3a
O3a
60
-30
60
25
-15
21
31
-11
21
6,000
-4,000
9,000
0.9
-0.5
1
0.6
-1
0.4
8.38
null
null
0.9
0.12
null
null
null
GW190720_000836
1,247,616,534.6
IAS-O3a
O3a
17
-7
13
6
-3
3
8.6
-1.7
0.7
1,100
-500
2,000
0.21
-0.08
0.32
0.3
-0.5
0.4
10.3
null
null
1
0.001
null
null
null
GW190725_174728
1,248,112,066.4
IAS-O3a
O3a
13
-4
30
5
-3
3
7.5
-1
0.6
1,100
-500
1,100
0.21
-0.08
0.19
0.1
-0.4
0.6
9.51
null
null
0.96
0.029
null
null
null
GW190727_060333
1,248,242,632
IAS-O3a
O3a
38
-6
80
29
-14
11
28
-5
21
3,300
-1,900
2,400
0.6
-0.3
0.3
0.1
-0.8
0.4
11.7
null
null
1
0.001
null
null
null
GW190728_064510
1,248,331,528.5
IAS-O3a
O3a
16
-6
14
7
-3
3
8.7
-0.6
0.7
900
-400
500
0.17
-0.07
0.09
0.2
-0.2
0.5
13
null
null
1
0.001
null
null
null
GW190731_140936
1,248,617,394.6
IAS-O3a
O3a
41
-10
81
29
-15
13
29
-7
22
4,000
-2,000
6,000
0.7
-0.4
0.7
0.1
-0.8
0.6
8.28
null
null
0.76
0.49
null
null
null
GW190803_022701
1,248,834,439.9
IAS-O3a
O3a
38
-8
72
27
-14
11
28
-6
18
4,000
-2,000
5,000
0.6
-0.3
0.7
0
-0.7
0.6
8.61
null
null
0.94
0.064
null
null
null
GW190805_211137
1,249,074,715.3
IAS-O3a
O3a
45
-11
78
32
-19
13
32
-9
18
7,000
-4,000
6,000
1
-0.6
0.6
0.6
-1.2
0.3
8.58
null
null
0.81
0.3
null
null
null
GW190814_192009
1,249,845,627.6
IAS-O3a
O3a
80
-30
110
50
-30
30
51
-19
29
9,000
-6,000
7,000
1.2
-0.8
0.9
0.5
-1.1
0.4
7.96
null
null
0.64
1.5
null
null
null
GW190814
1,249,852,257
GWTC-2.1-confident
O3a
23.3
-1.4
1.4
2.6
-0.1
0.1
6.11
-0.05
0.06
230
-50
40
0.05
-0.01
0.01
0
-0.07
0.07
25.3
-0.2
0.1
1
0.00001
25.7
-1.3
1.3
GW190818_232544
1,250,205,962.3
IAS-O3a
O3a
70
-20
50
34
-19
21
41
-13
15
6,000
-3,000
7,000
0.9
-0.4
0.8
0.7
-1.2
0.2
8.07
null
null
0.81
0.29
null
null
null
GW190821_124821
1,250,426,919.9
IAS-O3a
O3a
8
-2
9
3.9
-2.4
1.4
4.8
-2
0.3
800
-400
5,800
0.17
-0.08
0.8
-0.4
-0.3
0.8
8.8
null
null
0.6
1.4
null
null
null
GW190828_063405
1,251,009,263.7
IAS-O3a
O3a
33
-5
64
26
-12
9
25
-3
19
2,300
-1,200
1,700
0.41
-0.19
0.24
0.2
-0.6
0.5
16
null
null
1
0.001
null
null
null
GW190828_065509
1,251,010,527.8
IAS-O3a
O3a
24
-8
23
10
-4
5
13.4
-1.6
2
1,500
-600
1,400
0.29
-0.1
0.21
0
-0.4
0.7
10.4
null
null
1
0.001
null
null
null
GW190906_054335
1,251,783,833.5
IAS-O3a
O3a
39
-11
93
24
-13
14
26
-7
25
6,000
-3,000
7,000
0.9
-0.5
0.8
0.1
-0.8
0.6
7.86
null
null
0.61
1.4
null
null
null
GW190909_114149
1,252,064,527.7
IAS-O3a
O3a
110
-70
50
28
-14
24
45
-19
23
5,000
-3,000
6,000
0.8
-0.5
0.7
0.6
-1.2
0.3
7.98
null
null
0.52
2.2
null
null
null
GW190910_012619
1,252,113,997.2
IAS-O3a
O3a
34
-15
17
3.2
-0.6
8.1
8.1
-0.8
5.9
1,000
-400
1,700
0.19
-0.07
0.28
-0.6
-0.4
1
8.24
null
null
0.58
1.5
null
null
null
GW190910_112807
1,252,150,105.3
GWTC-2.1-confident
O3a
43.8
-6.8
7.6
34.2
-7.3
6.6
33.5
-4.1
4.2
1,520
-630
1,090
0.29
-0.11
0.17
0
-0.2
0.17
14.5
-0.3
0.2
0.99669
0.0029
74.4
-8.6
8.5
GW190915_235702
1,252,627,040.7
IAS-O3a
O3a
33
-6
65
24
-10
11
24
-4
19
1,800
-900
1,800
0.33
-0.15
0.26
-0.1
-0.6
0.6
12.8
null
null
1
0.001
null
null
null
GW190916_200658
1,252,699,636.9
IAS-O3a
O3a
46
-14
83
27
-13
17
30
-8
24
7,000
-4,000
7,000
1.1
-0.6
0.7
0.4
-1
0.4
7.97
null
null
0.93
0.048
null
null
null
GW190917_114630
1,252,756,008
GWTC-2.1-confident
O3a
9.7
-3.9
3.4
2.1
-0.4
1.1
3.7
-0.2
0.2
720
-310
300
0.15
-0.06
0.05
-0.08
-0.43
0.21
8.3
-0.8
0.5
0.76643
0.66
11.6
-2.9
3.1
GW190920_113516
1,253,014,534.7
IAS-O3a
O3a
7
-3
8
2.8
-2.2
1.2
3.7
-2.1
0.2
700
-400
12,100
0.14
-0.07
1.54
0.6
-1.1
0.3
8.62
null
null
0.57
1.8
null
null
null
GW190924_021846
1,253,326,744.8
GWTC-2.1-confident
O3a
8.8
-1.8
4.3
5.1
-1.5
1.2
5.8
-0.2
0.2
550
-220
220
0.11
-0.04
0.04
0.03
-0.08
0.2
12
-0.4
0.3
1
0.00001
13.3
-0.9
3
190924_232654
1,253,402,833
O3_IMBH_marginal
O3
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
13.27
null
null
null
0.4
null
null
null
GW190925_232845
1,253,489,343.1
GWTC-2.1-confident
O3a
20.8
-2.9
6.5
15.5
-3.6
2.5
15.6
-1.1
1.1
930
-350
460
0.19
-0.07
0.08
0.09
-0.15
0.16
9.7
-0.6
0.3
0.98849
0.0072
34.9
-2.6
3.5
GW190926_050336
1,253,509,434.1
IAS-O3a
O3a
37
-10
71
25
-12
13
25
-5
21
4,000
-2,000
4,000
0.7
-0.4
0.5
-0.3
-0.5
0.8
8.76
null
null
0.96
0.04
null
null
null
GW190929_012149
1,253,755,327.5
IAS-O3a
O3a
70
-20
70
25
-12
17
36
-10
14
3,200
-1,500
3,000
0.5
-0.2
0.4
0
-0.6
0.4
9.56
null
null
1
0.001
null
null
null
GW190930_133541
1,253,885,759.2
IAS-O3a
O3a
18
-8
16
5
-2
4
8.5
-1.4
0.6
800
-300
1,600
0.17
-0.07
0.26
0.4
-0.6
0.3
9.83
null
null
1
0.001
null
null
null
GW191103_012549
1,256,779,567.5
GWTC-3-confident
O3b
11.8
-2.2
6.2
7.9
-2.4
1.7
8.34
-0.57
0.66
990
-470
500
0.2
-0.09
0.09
0.21
-0.1
0.16
8.9
-0.5
0.3
0.94318
0.46
19
-1.7
3.8
GW191105_143521
1,256,999,739.9
GWTC-3-confident
O3b
10.7
-1.6
3.7
7.7
-1.9
1.4
7.82
-0.45
0.61
1,150
-480
430
0.23
-0.09
0.07
-0.02
-0.09
0.13
9.7
-0.5
0.3
0.99
0.012
17.6
-1.2
2.1
GW191109_010717
1,257,296,855.2
GWTC-3-confident
O3b
65
-11
11
47
-13
15
47.5
-7.5
9.6
1,290
-650
1,130
0.25
-0.12
0.18
-0.29
-0.31
0.42
17.3
-0.5
0.5
0.99
0.00018
107
-15
18
GW191113_071753
1,257,664,691.8
GWTC-3-confident
O3b
29
-14
12
5.9
-1.3
4.4
10.7
-1
1.1
1,370
-620
1,150
0.26
-0.11
0.18
0
-0.29
0.37
7.9
-1.1
0.5
0.68339
26
34
-10
11
GW191118_212859
1,258,147,757.4
GWTC-3-marginal
O3b
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
9.121
null
null
0.0452
1.3
null
null
null
GW191126_115259
1,258,804,397.6
GWTC-3-confident
O3b
12.1
-2.2
5.5
8.3
-2.4
1.9
8.65
-0.71
0.95
1,620
-740
740
0.3
-0.13
0.12
0.21
-0.11
0.15
8.3
-0.5
0.2
0.70041
3.2
19.6
-2
3.5
GW191127_050227
1,258,866,165.5
GWTC-3-confident
O3b
53
-20
47
24
-14
17
29.9
-9.1
11.7
3,400
-1,900
3,100
0.57
-0.29
0.4
0.18
-0.36
0.34
9.2
-0.6
0.7
0.73996
0.25
76
-21
39
GW191129_134029
1,259,070,047.1
GWTC-3-confident
O3b
10.7
-2.1
4.1
6.7
-1.7
1.5
7.31
-0.28
0.43
790
-330
260
0.16
-0.06
0.05
0.06
-0.08
0.16
13.1
-0.3
0.2
0.99
0.00001
16.8
-1.2
2.5
GW191204_110529
1,259,492,747.5
GWTC-3-confident
O3b
27.3
-5.9
10.8
19.2
-6
5.5
19.8
-3.2
3.6
1,900
-1,100
1,700
0.34
-0.18
0.25
0.05
-0.26
0.25
8.9
-0.6
0.4
0.74239
3.3
45
-7.5
8.7
GW191204_171526
1,259,514,944
GWTC-3-confident
O3b
11.7
-1.7
3.3
8.4
-1.7
1.3
8.56
-0.28
0.41
640
-260
200
0.13
-0.05
0.04
0.16
-0.05
0.08
17.4
-0.3
0.2
0.99
0.00001
19.18
-0.93
1.71
GW191215_223052
1,260,484,270.3
GWTC-3-confident
O3b
24.9
-4.1
7.1
18.1
-4.1
3.8
18.4
-1.7
2.2
1,930
-860
890
0.35
-0.14
0.13
-0.04
-0.21
0.17
11.2
-0.4
0.3
0.99
0.00001
41.4
-4.1
5.1
GW191216_213338
1,260,567,236.4
GWTC-3-confident
O3b
12.1
-2.2
4.6
7.7
-1.9
1.6
8.33
-0.19
0.22
340
-130
120
0.07
-0.03
0.02
0.11
-0.06
0.13
18.6
-0.2
0.2
0.99
0.00001
18.87
-0.93
2.81
GW191219_163120
1,260,808,298.4
GWTC-3-confident
O3b
31.1
-2.8
2.2
1.17
-0.06
0.07
4.31
-0.17
0.12
550
-160
240
0.11
-0.03
0.05
0
-0.09
0.07
9.1
-0.8
0.5
0.8224
4
32.2
-2.7
2.2
GW191222_033537
1,261,020,955.1
GWTC-3-confident
O3b
45.1
-8
10.9
34.7
-10.5
9.3
33.8
-5
7.1
3,000
-1,700
1,700
0.51
-0.26
0.23
-0.04
-0.25
0.2
12.5
-0.3
0.2
0.99
0.00001
75.5
-9.9
15.3
End of preview. Expand in Data Studio

Gravitational Wave Events (GWOSC)

Artist illustration of two merging black holes emitting gravitational waves

Credit: NASA/CXC/A. Hobart

Part of a dataset collection on Hugging Face.

Dataset description

All confirmed gravitational wave events from the Gravitational-Wave Open Science Center (GWOSC), covering LIGO, Virgo, and KAGRA observing runs.

Gravitational waves are ripples in spacetime generated by the acceleration of massive objects, predicted by Einstein's general theory of relativity in 1916 and first directly detected on September 14, 2015, by the LIGO detectors. That event, GW150914, was produced by the merger of two black holes and earned the 2017 Nobel Prize in Physics.

Each row represents one gravitational wave event (merger of compact objects such as black holes and/or neutron stars). Parameters include component masses, distance, spins, signal-to-noise ratio, and astrophysical probability. The catalog spans multiple observing runs of increasing sensitivity, from the initial O1/O2 runs through O3 and into O4.

The vast majority of events are binary black hole (BBH) mergers, but the catalog also includes binary neutron star (BNS) mergers -- most notably GW170817, the first event with an electromagnetic counterpart -- and neutron star-black hole (NSBH) systems. This dataset enables research into the mass distribution of stellar-mass black holes, the equation of state of neutron star matter, the expansion rate of the universe via standard siren cosmology, and the formation channels of compact binary systems.

This dataset is suitable for tabular classification tasks.

Schema

Column Type Description Sample Null %
name str Event identifier encoding the detection date; 'GW' prefix for confident detections (e.g. 'GW150914' = Sep 14 2015); some sub-threshold candidates use an 'S' prefix GRB051103 0.0%
gps float64 Detection time in GPS seconds (seconds since GPS epoch Jan 6 1980 00:00:00 UTC); GPS time does not include leap seconds; use astropy.time for accurate UTC conversion 815043278.0 0.0%
catalog str Source catalog identifier (e.g. 'GWTC-1', 'GWTC-2', 'GWTC-3'); later catalogs supersede earlier ones for the same event with improved parameter estimates Initial_LIGO_Virgo 0.0%
run str LIGO/Virgo/KAGRA observing run derived from catalog (e.g. 'O1/O2', 'O3a', 'O3b', 'O4a'); later runs use more sensitive detectors Initial 0.0%
mass_1 float64 Source-frame mass of the heavier compact object in solar masses; mass_1 >= mass_2 by convention; BBH typical range 5-100, BNS range 1.1-2.5 34.6 27.2%
mass_1_lower float64 Lower 90% credible interval bound on mass_1 (signed negative offset from median) -2.6 27.2%
mass_1_upper float64 Upper 90% credible interval bound on mass_1 (signed positive offset from median) 4.4 27.2%
mass_2 float64 Source-frame mass of the lighter compact object in solar masses; always <= mass_1 by convention; distinguishes BBH, NSBH, and BNS merger types 30.0 27.2%
mass_2_lower float64 Lower 90% credible interval bound on mass_2 (signed negative offset from median) -4.6 27.2%
mass_2_upper float64 Upper 90% credible interval bound on mass_2 (signed positive offset from median) 2.9 27.2%
chirp_mass float64 Chirp mass in solar masses: M_c = (m1*m2)^(3/5) / (m1+m2)^(1/5); the best-constrained mass combination from gravitational wave phase evolution 27.9 27.2%
chirp_mass_lower float64 Lower 90% credible interval bound on chirp_mass (signed negative offset from median) -1.5 27.2%
chirp_mass_upper float64 Upper 90% credible interval bound on chirp_mass (signed positive offset from median) 1.7 27.2%
luminosity_distance float64 Luminosity distance to the source in Megaparsecs (1 Mpc = 3.26 Mly); inferred from signal amplitude; uncertain by ~50% due to sky-localization degeneracy 470.0 27.2%
luminosity_distance_lower float64 Lower 90% credible interval bound on luminosity_distance (signed negative offset from median) -160.0 27.2%
luminosity_distance_upper float64 Upper 90% credible interval bound on luminosity_distance (signed positive offset from median) 140.0 27.2%
redshift float64 Cosmological redshift z corresponding to the luminosity distance; null when distance is not well-constrained 0.1 27.9%
redshift_lower float64 Lower 90% credible interval bound on redshift (signed negative offset from median) -0.03 27.9%
redshift_upper float64 Upper 90% credible interval bound on redshift (signed positive offset from median) 0.03 27.9%
chi_eff float64 Effective inspiral spin parameter: mass-weighted projection of both component spins onto the orbital angular momentum axis; ranges from -1 (anti-aligned) to +1 (fully aligned) -0.04 28.3%
chi_eff_lower float64 Lower 90% credible interval bound on chi_eff (signed negative offset from median) -0.14 28.3%
chi_eff_upper float64 Upper 90% credible interval bound on chi_eff (signed positive offset from median) 0.12 28.3%
network_snr float64 Coherent network matched-filter signal-to-noise ratio across all active detectors; confident detections typically have SNR > 8 26.0 1.9%
network_snr_lower float64 Lower 90% credible interval bound on network_snr (signed negative offset from median) -0.2 76.6%
network_snr_upper float64 Upper 90% credible interval bound on network_snr (signed positive offset from median) 0.1 76.6%
p_astro float64 Posterior probability that the trigger is of astrophysical origin rather than noise; catalog inclusion requires p_astro > 0.5; flagship events have p_astro > 0.99 1.0 14.3%
far float64 False alarm rate in Hz (events per second of observation); quantifies how often random noise would produce a trigger of equal or greater significance 10.17 4.9%
final_mass float64 Source-frame mass of the post-merger remnant in solar masses; less than mass_1 + mass_2 because ~5% of total mass is radiated as gravitational wave energy; null for events where remnant mass is not estimated 61.5 45.3%
final_mass_lower float64 Lower 90% credible interval bound on final_mass (signed negative offset from median) -2.9 45.7%
final_mass_upper float64 Upper 90% credible interval bound on final_mass (signed positive offset from median) 3.4 45.7%

Quick stats

  • 265 gravitational wave events
  • 12 catalogs: GWTC-1-confident, GWTC-1-marginal, GWTC-2.1-auxiliary, GWTC-2.1-confident, GWTC-2.1-marginal, GWTC-3-confident, GWTC-3-marginal, GWTC-4.0, IAS-O3a, Initial_LIGO_Virgo, O3_IMBH_marginal, O4_Discovery_Papers
  • Observing runs: Initial, O1/O2, O3, O3a, O3b, O4, O4a
  • Median primary mass: 35.2 solar masses
  • Median luminosity distance: 2090 Mpc

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/gravitational-wave-events", split="train")
df = ds.to_pandas()
from datasets import load_dataset

ds = load_dataset("juliensimon/gravitational-wave-events", split="train")
df = ds.to_pandas()

# Binary black hole mergers (both masses > 3 solar masses)
bbh = df[(df["mass_1"] > 3) & (df["mass_2"] > 3)]
print(f"{len(bbh)} binary black hole events")

# Closest events
closest = df.nsmallest(5, "luminosity_distance")[["name", "luminosity_distance", "mass_1", "mass_2"]]

# Mass distribution
import matplotlib.pyplot as plt
df["mass_1"].dropna().hist(bins=30, alpha=0.7, label="Primary mass")
df["mass_2"].dropna().hist(bins=30, alpha=0.7, label="Secondary mass")
plt.xlabel("Mass (solar masses)")
plt.ylabel("Count")
plt.legend()
plt.title("Gravitational Wave Event Mass Distribution")
plt.show()

Data source

https://gwosc.org/eventapi/

If you find this dataset useful, please consider giving it a like on Hugging Face. It helps others discover it.

About the author

Created by Julien Simon — AI Operating Partner at Fortino Capital. Part of the Space Datasets collection.

Citation

@dataset{gravitational_wave_events,
  title = {Gravitational Wave Events (GWOSC)},
  author = {juliensimon},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/gravitational-wave-events},
  publisher = {Hugging Face}
}

License

CC-BY-4.0

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