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CandidateT-e33861adf6bf

Redshift localisation of the signal

Individual run · T-e33861adf6bf

Public summary of an internal test, not yet independently validated or published.

Question investigated

Is the preference for evolving dark energy in Pantheon+ and DES-SN5YR concentrated in one of the ranges z = 0.01–0.1; 0.1–0.3; 0.3–0.7; 0.7–2.3, with the prior Ωm = 0.3 ± 0.01?

Test conditions

The fit to each compilation (Pantheon+ and DES-SN5YR) is repeated after excluding, one at a time, the ranges z = 0.01–0.1; 0.1–0.3; 0.3–0.7; 0.7–2.3. The adopted prior is Ωm = 0.3 ± 0.01. BAO and cosmic microwave background constraints are held fixed. Fit quality and dark-energy parameters are compared before and after each exclusion. The ranges are specified before fitting.

Result

Excluding z = 0.01–0.1 from DES-SN5YR reduced the fit improvement by about 93%, the largest reduction among the exclusions tested. The ranges had unequal influence, without establishing exclusive dependence on any one of them. The conclusion applies to the compilations, ranges and assumptions examined.

Key figure

Reduction in fit improvement

  • 93 %

    DES-SN5YR: remove z = 0.01–0.1

Removing redshifts 0.01–0.1 reduced the fit improvement in DES-SN5YR by about 93%, the largest reduction in this comparison. The result is limited to the tested data, bands and priors and does not establish exclusive dependence on a single band.

Source: Tower public snapshot

Specific limitations

  • Excluding each range measures its influence on the preference for evolving dark energy. This comparison alone cannot identify a physical or instrumental origin.
  • The point represents the largest reported reduction in fit improvement for this test; values for the other cuts are unavailable. The result depends on the redshift bin and prior used. Repeated analyses are not independent measurements, and the percentage is not a probability or statistical significance.

This run among the other public runs

The highlighted dot is this record. The other runs use other combinations of data and priors.

  • 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 (%)

  1. 51Public runs
  2. 93%DES-SN5YR · without z = 0.01–0.1
  3. 18%–95%Lowest and highest reduction

93%DES-SN5YR · without z = 0.01–0.1Open the record T-e33861adf6bf

View the data as a table
This run among the other public runs
CompilationRange removedReduction (%)Record
DES-SN5YRz = 0.01–0.0870T-e67a424b5ccf
DES-SN5YRz = 0.01–0.159T-acf9f6789f6a
DES-SN5YRz = 0.01–0.159T-e7ffb1c11d22
DES-SN5YRz = 0.01–0.175T-5ff8f1fd80a6
DES-SN5YRz = 0.01–0.175T-d06585fd0e12
DES-SN5YRz = 0.01–0.175T-fb9b6fc6e544
DES-SN5YRz = 0.01–0.191T-ce8e413902fb
DES-SN5YRz = 0.01–0.191T-e6b06a801122
DES-SN5YRz = 0.01–0.193T-04a0ed4d9d28
DES-SN5YRz = 0.01–0.193T-afcb5fe45fad
DES-SN5YRz = 0.01–0.193T-b97d826bd09f
DES-SN5YRz = 0.01–0.193T-cd51b90ff68b
DES-SN5YRz = 0.01–0.193T-cf7844375210
DES-SN5YRz = 0.01–0.193T-e33861adf6bf
DES-SN5YRz = 0.01–0.1558T-260500679d60
DES-SN5YRz = 0.01–0.1558T-321b843a0e5c
DES-SN5YRz = 0.01–0.1558T-423f050911c9
DES-SN5YRz = 0.01–0.1558T-df998f604c97
DES-SN5YRz = 0.01–0.1558T-ed2ce44de389
DES-SN5YRz = 0.01–0.1575T-1367215bcab5
DES-SN5YRz = 0.01–0.1575T-363971e6e7a9
DES-SN5YRz = 0.01–0.1575T-daadb81fcf35
DES-SN5YRz = 0.01–0.1592T-5f0f73082b99
DES-SN5YRz = 0.01–0.1592T-69658e6481b4
DES-SN5YRz = 0.01–0.1594T-05ae703af393
DES-SN5YRz = 0.01–0.1594T-4f3a81c57369
DES-SN5YRz = 0.01–0.1594T-5f5380992840
DES-SN5YRz = 0.01–0.1594T-ec2705915411
DES-SN5YRz = 0.01–0.1594T-f15b202924b6
DES-SN5YRz = 0.01–0.1595T-6630bd2ec70b
DES-SN5YRz = 0.01–0.1595T-d3c37bcfa041
DES-SN5YRz = 0.01–0.1595T-d824203da16c
DES-SN5YRz = 0.023–0.1575T-78d38345542e
DES-SN5YRz = 0.01–0.243T-28784a6e0dde
DES-SN5YRz = 0.01–0.263T-3e3fa4c5d2da
DES-SN5YRz = 0.01–0.263T-50a63dfd1576
DES-SN5YRz = 0.01–0.284T-87001adcb352
DES-SN5YRz = 0.01–0.318T-fc2be79199a2
DES-SN5YRz = 0.01–0.344T-0666056105a4
DES-SN5YRz = 0.01–0.344T-188a0c45ae9a
DES-SN5YRz = 0.01–0.369T-0fe707d2a0c0
Union3z = 0.01–0.1533T-63817dc77958
Union3z = 0.01–0.1533T-c1650d8fd93c
Union3z = 0.01–0.1542T-c55a31fdb4c9
Union3z = 0.01–0.1553T-f079e23f2559
Union3z = 0.01–0.1554T-3e9ad497d065
Union3z = 0.01–0.1554T-c8b48f8f5e39
Union3z = 0.01–0.1554T-cbe083892a0c
Union3z = 0.1–0.349T-5f1fd8c35732
Union3z = 0.1–0.350T-3d4bc1b7fd17
Union3z = 0.1–0.352T-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