Removing nearby supernovae from the fit
- Question
- Does the preference for evolving dark energy depend on a particular supernova redshift range?
- Data
- DES-SN5YR and Union3, with BAO and CMB constraints held fixed and the prior Ωm = 0.3 ± 0.01.
- Result
- Without the supernovae at z = 0.01–0.15, the fit improvement in DES-SN5YR fell by about 94%.
- Limits
- Internal record, without established independent validation or global significance. The effect varies across the configurations examined.
How much does fit improvement fall when a redshift range is removed?
Public NEXO runs, by supernova compilation and removed range.
- DES-SN5YR
- Union3
- selected run
DES-SN5YRwithout z = 0.01–0.081 run
DES-SN5YRwithout z = 0.01–0.113 runs
DES-SN5YRwithout z = 0.01–0.1518 runs
DES-SN5YRwithout z = 0.023–0.151 run
DES-SN5YRwithout z = 0.01–0.24 runs
DES-SN5YRwithout z = 0.01–0.34 runs
Union3without z = 0.01–0.157 runs
Union3without z = 0.1–0.33 runs
Reduction in fit improvement when the range is removed (%)
- 51Public runs
- 94%DES-SN5YR · without z = 0.01–0.15
- 18%–95%Lowest and highest reduction
94%DES-SN5YR · without z = 0.01–0.15Open the record T-05ae703af393
View the data as a table
| Compilation | Range removed | Reduction (%) | Record |
|---|---|---|---|
| DES-SN5YR | z = 0.01–0.08 | 70 | T-e67a424b5ccf |
| DES-SN5YR | z = 0.01–0.1 | 59 | T-acf9f6789f6a |
| DES-SN5YR | z = 0.01–0.1 | 59 | T-e7ffb1c11d22 |
| DES-SN5YR | z = 0.01–0.1 | 75 | T-5ff8f1fd80a6 |
| DES-SN5YR | z = 0.01–0.1 | 75 | T-d06585fd0e12 |
| DES-SN5YR | z = 0.01–0.1 | 75 | T-fb9b6fc6e544 |
| DES-SN5YR | z = 0.01–0.1 | 91 | T-ce8e413902fb |
| DES-SN5YR | z = 0.01–0.1 | 91 | T-e6b06a801122 |
| DES-SN5YR | z = 0.01–0.1 | 93 | T-04a0ed4d9d28 |
| DES-SN5YR | z = 0.01–0.1 | 93 | T-afcb5fe45fad |
| DES-SN5YR | z = 0.01–0.1 | 93 | T-b97d826bd09f |
| DES-SN5YR | z = 0.01–0.1 | 93 | T-cd51b90ff68b |
| DES-SN5YR | z = 0.01–0.1 | 93 | T-cf7844375210 |
| DES-SN5YR | z = 0.01–0.1 | 93 | T-e33861adf6bf |
| DES-SN5YR | z = 0.01–0.15 | 58 | T-260500679d60 |
| DES-SN5YR | z = 0.01–0.15 | 58 | T-321b843a0e5c |
| DES-SN5YR | z = 0.01–0.15 | 58 | T-423f050911c9 |
| DES-SN5YR | z = 0.01–0.15 | 58 | T-df998f604c97 |
| DES-SN5YR | z = 0.01–0.15 | 58 | T-ed2ce44de389 |
| DES-SN5YR | z = 0.01–0.15 | 75 | T-1367215bcab5 |
| DES-SN5YR | z = 0.01–0.15 | 75 | T-363971e6e7a9 |
| DES-SN5YR | z = 0.01–0.15 | 75 | T-daadb81fcf35 |
| DES-SN5YR | z = 0.01–0.15 | 92 | T-5f0f73082b99 |
| DES-SN5YR | z = 0.01–0.15 | 92 | T-69658e6481b4 |
| DES-SN5YR | z = 0.01–0.15 | 94 | T-05ae703af393 |
| DES-SN5YR | z = 0.01–0.15 | 94 | T-4f3a81c57369 |
| DES-SN5YR | z = 0.01–0.15 | 94 | T-5f5380992840 |
| DES-SN5YR | z = 0.01–0.15 | 94 | T-ec2705915411 |
| DES-SN5YR | z = 0.01–0.15 | 94 | T-f15b202924b6 |
| DES-SN5YR | z = 0.01–0.15 | 95 | T-6630bd2ec70b |
| DES-SN5YR | z = 0.01–0.15 | 95 | T-d3c37bcfa041 |
| DES-SN5YR | z = 0.01–0.15 | 95 | T-d824203da16c |
| DES-SN5YR | z = 0.023–0.15 | 75 | T-78d38345542e |
| DES-SN5YR | z = 0.01–0.2 | 43 | T-28784a6e0dde |
| DES-SN5YR | z = 0.01–0.2 | 63 | T-3e3fa4c5d2da |
| DES-SN5YR | z = 0.01–0.2 | 63 | T-50a63dfd1576 |
| DES-SN5YR | z = 0.01–0.2 | 84 | T-87001adcb352 |
| DES-SN5YR | z = 0.01–0.3 | 18 | T-fc2be79199a2 |
| DES-SN5YR | z = 0.01–0.3 | 44 | T-0666056105a4 |
| DES-SN5YR | z = 0.01–0.3 | 44 | T-188a0c45ae9a |
| DES-SN5YR | z = 0.01–0.3 | 69 | T-0fe707d2a0c0 |
| Union3 | z = 0.01–0.15 | 33 | T-63817dc77958 |
| Union3 | z = 0.01–0.15 | 33 | T-c1650d8fd93c |
| Union3 | z = 0.01–0.15 | 42 | T-c55a31fdb4c9 |
| Union3 | z = 0.01–0.15 | 53 | T-f079e23f2559 |
| Union3 | z = 0.01–0.15 | 54 | T-3e9ad497d065 |
| Union3 | z = 0.01–0.15 | 54 | T-c8b48f8f5e39 |
| Union3 | z = 0.01–0.15 | 54 | T-cbe083892a0c |
| Union3 | z = 0.1–0.3 | 49 | T-5f1fd8c35732 |
| Union3 | z = 0.1–0.3 | 50 | T-3d4bc1b7fd17 |
| Union3 | z = 0.1–0.3 | 52 | T-6ff8a28ad5b0 |
51 public runs. Each dot is the key figure published for one run: the cut that most reduced the fit improvement in that configuration of data and priors. The other cuts of each run are not in the snapshot. Runs are not independent measurements, and the percentage is neither a probability nor a significance. Source: Tower public snapshot
