Table 4. Open in new tab The best 52... | Oxford Academic

Table 4.

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The best 52 models selected from the statistical analysis at the 1|$\sigma$| confidence level.

DTD	Scenario	Yields SN Ia	Expl. type	N. prob.	Q
(1)	(2)	(3)	(4)	(5)	(6)
STROLG1	SD	LN20181	Mch	1.00000	A
STROLG2	SD	MO20182	Mch	0.99997	A
GRESDCH	SD	SEI2013	Mch	0.99911	A
STROLG1	SD	SEI2013	Mch	0.99652	A
STROLG1	SD	GR20211	Sub-Mch	0.99227	E
STROLG1	SD	MO20182	Mch	0.99200	A
CASTRIL	DD	MO20182	Mch	0.98826	D
CHE2021	DD	SEI2013	Mch	0.98453	D
GRCDD04	DD	SEI2013	Mch	0.98297	C
GRSDSCH	SD	MO20182	Mch	0.98127	F
GRESDCH	SD	GR20211	Sub-Mch	0.97925	E
STROLG3	SD	MO20182	Mch	0.97914	A
STROLG1	SD	LEU2020	Sub-Mch	0.97847	E
GRESDCH	SD	LN20181	Mch	0.97626	A
STROLG2	SD	GR20212	Sub-Mch	0.97573	E
STROLG5	DD	MO20182	Mch	0.97432	C
CASTRIL	DD	LN20181	Mch	0.97186	D
CASTRIL	DD	SEI2013	Mch	0.97138	D
GRCDD10	DD	MO20182	Mch	0.97079	C
MAOZ017	DD	MO20182	Mch	0.97053	D
STROLG2	SD	LN20181	Mch	0.96914	A
STROLG1	SD	GR20212	Sub-Mch	0.96605	E
GRESDCH	SD	LEU2020	Sub-Mch	0.96422	E
MAOZ017	DD	SEI2013	Mch	0.96146	D
GRCDD04	DD	LN20181	Mch	0.96044	C
STROLG2	SD	GR20211	Sub-Mch	0.96017	E
GRESDCH	SD	MO20182	Mch	0.96010	A
GRSDSCH	SD	GR20211	Sub-Mch	0.95940	B
STROLG3	SD	GR20212	Sub-Mch	0.95918	E
GRCDD04	DD	MO20182	Mch	0.95906	C
GRESDCH	SD	MO20181	Mch	0.95881	A
CHE2021	DD	MO20181	Mch	0.95842	D
GRSDSCH	SD	LN20181	Mch	0.95642	F
MAOZ017	DD	LN20181	Mch	0.95214	D
GRSDSCH	SD	GR20212	Sub-Mch	0.94882	B
CHE2021	DD	LN20181	Mch	0.94489	D
GRSDSCH	SD	SEI2013	Mch	0.94461	F
STROLG1	SD	LN20183	Mch	0.94212	A
RLPPC00	Mix	MO20182	Mch	0.94116	A
GRCDD10	DD	SEI2013	Mch	0.94032	C
GRWDD10	DD	MO20182	Mch	0.93988	C
GRCDD10	DD	LN20181	Mch	0.93929	C
STROLG1	SD	BR20192	Sub-Mch	0.93209	E
STROLG1	SD	MO20181	Mch	0.93083	A
STROLG5	DD	LN20181	Mch	0.93039	C
STROLG2	SD	SEI2013	Mch	0.93031	A
GRESDCH	SD	GR20212	Sub-Mch	0.92906	E
CHE2021	DD	MO20182	Mch	0.92797	D
GRCDD04	DD	MO20181	Mch	0.92767	C
STROLG2	SD	LEU2020	Sub-Mch	0.92475	E
STROLG3	SD	LN20181	Mch	0.92203	A
GRWDD04	DD	SEI2013	Mch	0.92174	C

DTD	Scenario	Yields SN Ia	Expl. type	N. prob.	Q
(1)	(2)	(3)	(4)	(5)	(6)
STROLG1	SD	LN20181	Mch	1.00000	A
STROLG2	SD	MO20182	Mch	0.99997	A
GRESDCH	SD	SEI2013	Mch	0.99911	A
STROLG1	SD	SEI2013	Mch	0.99652	A
STROLG1	SD	GR20211	Sub-Mch	0.99227	E
STROLG1	SD	MO20182	Mch	0.99200	A
CASTRIL	DD	MO20182	Mch	0.98826	D
CHE2021	DD	SEI2013	Mch	0.98453	D
GRCDD04	DD	SEI2013	Mch	0.98297	C
GRSDSCH	SD	MO20182	Mch	0.98127	F
GRESDCH	SD	GR20211	Sub-Mch	0.97925	E
STROLG3	SD	MO20182	Mch	0.97914	A
STROLG1	SD	LEU2020	Sub-Mch	0.97847	E
GRESDCH	SD	LN20181	Mch	0.97626	A
STROLG2	SD	GR20212	Sub-Mch	0.97573	E
STROLG5	DD	MO20182	Mch	0.97432	C
CASTRIL	DD	LN20181	Mch	0.97186	D
CASTRIL	DD	SEI2013	Mch	0.97138	D
GRCDD10	DD	MO20182	Mch	0.97079	C
MAOZ017	DD	MO20182	Mch	0.97053	D
STROLG2	SD	LN20181	Mch	0.96914	A
STROLG1	SD	GR20212	Sub-Mch	0.96605	E
GRESDCH	SD	LEU2020	Sub-Mch	0.96422	E
MAOZ017	DD	SEI2013	Mch	0.96146	D
GRCDD04	DD	LN20181	Mch	0.96044	C
STROLG2	SD	GR20211	Sub-Mch	0.96017	E
GRESDCH	SD	MO20182	Mch	0.96010	A
GRSDSCH	SD	GR20211	Sub-Mch	0.95940	B
STROLG3	SD	GR20212	Sub-Mch	0.95918	E
GRCDD04	DD	MO20182	Mch	0.95906	C
GRESDCH	SD	MO20181	Mch	0.95881	A
CHE2021	DD	MO20181	Mch	0.95842	D
GRSDSCH	SD	LN20181	Mch	0.95642	F
MAOZ017	DD	LN20181	Mch	0.95214	D
GRSDSCH	SD	GR20212	Sub-Mch	0.94882	B
CHE2021	DD	LN20181	Mch	0.94489	D
GRSDSCH	SD	SEI2013	Mch	0.94461	F
STROLG1	SD	LN20183	Mch	0.94212	A
RLPPC00	Mix	MO20182	Mch	0.94116	A
GRCDD10	DD	SEI2013	Mch	0.94032	C
GRWDD10	DD	MO20182	Mch	0.93988	C
GRCDD10	DD	LN20181	Mch	0.93929	C
STROLG1	SD	BR20192	Sub-Mch	0.93209	E
STROLG1	SD	MO20181	Mch	0.93083	A
STROLG5	DD	LN20181	Mch	0.93039	C
STROLG2	SD	SEI2013	Mch	0.93031	A
GRESDCH	SD	GR20212	Sub-Mch	0.92906	E
CHE2021	DD	MO20182	Mch	0.92797	D
GRCDD04	DD	MO20181	Mch	0.92767	C
STROLG2	SD	LEU2020	Sub-Mch	0.92475	E
STROLG3	SD	LN20181	Mch	0.92203	A
GRWDD04	DD	SEI2013	Mch	0.92174	C

Table 4.

Open in new tab

The best 52 models selected from the statistical analysis at the 1|$\sigma$| confidence level.

DTD	Scenario	Yields SN Ia	Expl. type	N. prob.	Q
(1)	(2)	(3)	(4)	(5)	(6)
STROLG1	SD	LN20181	Mch	1.00000	A
STROLG2	SD	MO20182	Mch	0.99997	A
GRESDCH	SD	SEI2013	Mch	0.99911	A
STROLG1	SD	SEI2013	Mch	0.99652	A
STROLG1	SD	GR20211	Sub-Mch	0.99227	E
STROLG1	SD	MO20182	Mch	0.99200	A
CASTRIL	DD	MO20182	Mch	0.98826	D
CHE2021	DD	SEI2013	Mch	0.98453	D
GRCDD04	DD	SEI2013	Mch	0.98297	C
GRSDSCH	SD	MO20182	Mch	0.98127	F
GRESDCH	SD	GR20211	Sub-Mch	0.97925	E
STROLG3	SD	MO20182	Mch	0.97914	A
STROLG1	SD	LEU2020	Sub-Mch	0.97847	E
GRESDCH	SD	LN20181	Mch	0.97626	A
STROLG2	SD	GR20212	Sub-Mch	0.97573	E
STROLG5	DD	MO20182	Mch	0.97432	C
CASTRIL	DD	LN20181	Mch	0.97186	D
CASTRIL	DD	SEI2013	Mch	0.97138	D
GRCDD10	DD	MO20182	Mch	0.97079	C
MAOZ017	DD	MO20182	Mch	0.97053	D
STROLG2	SD	LN20181	Mch	0.96914	A
STROLG1	SD	GR20212	Sub-Mch	0.96605	E
GRESDCH	SD	LEU2020	Sub-Mch	0.96422	E
MAOZ017	DD	SEI2013	Mch	0.96146	D
GRCDD04	DD	LN20181	Mch	0.96044	C
STROLG2	SD	GR20211	Sub-Mch	0.96017	E
GRESDCH	SD	MO20182	Mch	0.96010	A
GRSDSCH	SD	GR20211	Sub-Mch	0.95940	B
STROLG3	SD	GR20212	Sub-Mch	0.95918	E
GRCDD04	DD	MO20182	Mch	0.95906	C
GRESDCH	SD	MO20181	Mch	0.95881	A
CHE2021	DD	MO20181	Mch	0.95842	D
GRSDSCH	SD	LN20181	Mch	0.95642	F
MAOZ017	DD	LN20181	Mch	0.95214	D
GRSDSCH	SD	GR20212	Sub-Mch	0.94882	B
CHE2021	DD	LN20181	Mch	0.94489	D
GRSDSCH	SD	SEI2013	Mch	0.94461	F
STROLG1	SD	LN20183	Mch	0.94212	A
RLPPC00	Mix	MO20182	Mch	0.94116	A
GRCDD10	DD	SEI2013	Mch	0.94032	C
GRWDD10	DD	MO20182	Mch	0.93988	C
GRCDD10	DD	LN20181	Mch	0.93929	C
STROLG1	SD	BR20192	Sub-Mch	0.93209	E
STROLG1	SD	MO20181	Mch	0.93083	A
STROLG5	DD	LN20181	Mch	0.93039	C
STROLG2	SD	SEI2013	Mch	0.93031	A
GRESDCH	SD	GR20212	Sub-Mch	0.92906	E
CHE2021	DD	MO20182	Mch	0.92797	D
GRCDD04	DD	MO20181	Mch	0.92767	C
STROLG2	SD	LEU2020	Sub-Mch	0.92475	E
STROLG3	SD	LN20181	Mch	0.92203	A
GRWDD04	DD	SEI2013	Mch	0.92174	C

DTD	Scenario	Yields SN Ia	Expl. type	N. prob.	Q
(1)	(2)	(3)	(4)	(5)	(6)
STROLG1	SD	LN20181	Mch	1.00000	A
STROLG2	SD	MO20182	Mch	0.99997	A
GRESDCH	SD	SEI2013	Mch	0.99911	A
STROLG1	SD	SEI2013	Mch	0.99652	A
STROLG1	SD	GR20211	Sub-Mch	0.99227	E
STROLG1	SD	MO20182	Mch	0.99200	A
CASTRIL	DD	MO20182	Mch	0.98826	D
CHE2021	DD	SEI2013	Mch	0.98453	D
GRCDD04	DD	SEI2013	Mch	0.98297	C
GRSDSCH	SD	MO20182	Mch	0.98127	F
GRESDCH	SD	GR20211	Sub-Mch	0.97925	E
STROLG3	SD	MO20182	Mch	0.97914	A
STROLG1	SD	LEU2020	Sub-Mch	0.97847	E
GRESDCH	SD	LN20181	Mch	0.97626	A
STROLG2	SD	GR20212	Sub-Mch	0.97573	E
STROLG5	DD	MO20182	Mch	0.97432	C
CASTRIL	DD	LN20181	Mch	0.97186	D
CASTRIL	DD	SEI2013	Mch	0.97138	D
GRCDD10	DD	MO20182	Mch	0.97079	C
MAOZ017	DD	MO20182	Mch	0.97053	D
STROLG2	SD	LN20181	Mch	0.96914	A
STROLG1	SD	GR20212	Sub-Mch	0.96605	E
GRESDCH	SD	LEU2020	Sub-Mch	0.96422	E
MAOZ017	DD	SEI2013	Mch	0.96146	D
GRCDD04	DD	LN20181	Mch	0.96044	C
STROLG2	SD	GR20211	Sub-Mch	0.96017	E
GRESDCH	SD	MO20182	Mch	0.96010	A
GRSDSCH	SD	GR20211	Sub-Mch	0.95940	B
STROLG3	SD	GR20212	Sub-Mch	0.95918	E
GRCDD04	DD	MO20182	Mch	0.95906	C
GRESDCH	SD	MO20181	Mch	0.95881	A
CHE2021	DD	MO20181	Mch	0.95842	D
GRSDSCH	SD	LN20181	Mch	0.95642	F
MAOZ017	DD	LN20181	Mch	0.95214	D
GRSDSCH	SD	GR20212	Sub-Mch	0.94882	B
CHE2021	DD	LN20181	Mch	0.94489	D
GRSDSCH	SD	SEI2013	Mch	0.94461	F
STROLG1	SD	LN20183	Mch	0.94212	A
RLPPC00	Mix	MO20182	Mch	0.94116	A
GRCDD10	DD	SEI2013	Mch	0.94032	C
GRWDD10	DD	MO20182	Mch	0.93988	C
GRCDD10	DD	LN20181	Mch	0.93929	C
STROLG1	SD	BR20192	Sub-Mch	0.93209	E
STROLG1	SD	MO20181	Mch	0.93083	A
STROLG5	DD	LN20181	Mch	0.93039	C
STROLG2	SD	SEI2013	Mch	0.93031	A
GRESDCH	SD	GR20212	Sub-Mch	0.92906	E
CHE2021	DD	MO20182	Mch	0.92797	D
GRCDD04	DD	MO20181	Mch	0.92767	C
STROLG2	SD	LEU2020	Sub-Mch	0.92475	E
STROLG3	SD	LN20181	Mch	0.92203	A
GRWDD04	DD	SEI2013	Mch	0.92174	C