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Principal components of dark energy with SNLS supernovae: the effects of systematic errors

Cosmology and Nongalactic Astrophysics · Submitted 19 Jul 2012

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We find that the SN Ia systematics degrade the total generalized figure of merit (FoM), which characterizes constraints in multi-dimensional DE parameter space, by a factor of two to three.

how it is stated · asserted 1.00 read the record →

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arXiv ID1207.4781 (version 2)
Pith IDK3OUAGVD, Pith's permanent record of this paper and its review
CitationAlexander Conley (Colorado), Daniel L. Shafer (Michigan), Dragan Huterer (Michigan), Eduardo J. Ruiz (Michigan). "Principal components of dark energy with SNLS supernovae: the effects of systematic errors." arXiv:1207.4781 (2012). https://pith.science/paper/K3OUAGVD
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,071 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.70 · human participants 0.02 · controlled comparison 0.12 · randomized assignment 0.01 · states quantitative result 0.97 · compares with prior results 0.40 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

We study the effects of current systematic errors in Type Ia supernova (SN Ia) measurements on dark energy (DE) constraints using current data from the Supernova Legacy Survey (SNLS). We consider how SN systematic errors affect constraints from combined SN Ia, baryon acoustic oscillations (BAO), and cosmic microwave background (CMB) data, given that SNe Ia still provide the strongest constraints on DE but are arguably subject to more significant systematics than the latter two probes. We focus our attention on the temporal evolution of DE described in terms of principal components (PCs) of the equation of state, though we examine a few of the more common, simpler parametrizations as well. We find that the SN Ia systematics degrade the total generalized figure of merit (FoM), which characterizes constraints in multi-dimensional DE parameter space, by a factor of two to three. Nevertheless, overall constraints obtained on more than five PCs are very good even with current data and systematics. We further show that current constraints are robust to allowing for the finite detection significance of the BAO feature in galaxy surveys.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We study the effects of current systematic errors in Type Ia supernova (SN Ia) measurements on dark energy (DE) constraints using current data from the Supernova Legacy Survey (SNLS). contribution 0.99 0.88 0.04 asserted 0.84
s1 We consider how SN systematic errors affect constraints from combined SN Ia, baryon acoustic oscillations (BAO), and cosmic microwave background (CMB) data, given that SNe Ia still provide the strongest constraints on DE but are arguably subject to more significant systematics than the latter two probes. background 0.57 0.34 0.04 asserted 0.65
s2 We focus our attention on the temporal evolution of DE described in terms of principal components (PCs) of the equation of state, though we examine a few of the more common, simpler parametrizations as well. method 0.77 0.62 0.03 asserted 0.86
s3 We find that the SN Ia systematics degrade the total generalized figure of merit (FoM), which characterizes constraints in multi-dimensional DE parameter space, by a factor of two to three. result 1.00 0.96 0.48 asserted 1.00
s4 Nevertheless, overall constraints obtained on more than five PCs are very good even with current data and systematics. result 0.99 0.93 0.24 asserted 1.00
s5 We further show that current constraints are robust to allowing for the finite detection significance of the BAO feature in galaxy surveys. result 0.99 0.91 0.06 asserted 1.00

What kind of paper the classifier reports this is: simulation study 0.70 · evidence from analysis of existing data 1.00.

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sources read
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not examined
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  • references and citing sentences
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We study the effects of current systematic errors in Type Ia supernova (SN Ia) measurements on dark energy (DE) constraints using current data from the Supernova Legacy Survey (SNLS). We consider how SN systematic errors affect constraints from combined SN Ia, baryon acoustic oscillations (BAO), and cosmic microwave background (CMB) data, given that SNe Ia still provide the strongest constraints on DE but are arguably subject to more significant systematics than the latter two probes. We focus our attention on the temporal evolution of DE described in terms of principal components (PCs) of the equation of state, though we examine a few of the more common, simpler parametrizations as well. We find that the SN Ia systematics degrade the total generalized figure of merit (FoM), which characterizes constraints in multi-dimensional DE parameter space, by a factor of two to three. Nevertheless, overall constraints obtained on more than five PCs are very good even with current data and systematics. We further show that current constraints are robust to allowing for the finite detection significance of the BAO feature in galaxy surveys.

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References
How the literature uses it

12 arXiv papers cite this in 19 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 12 sentences without a confident label

Uses its method or tool 1 paper
Compares with it 1 paper
Cites it as support 1 paper
Cites it as background 4 papers

What it cites · 47 sentences without a confident label

Builds on 1 paper
Uses the method or tool of 8 papers
Uses data or values from 6 papers
Compares with 1 paper
  • We are extremely encouraged by the fact that constraints on more than five of the lowest PCs are very good even with current data, a result incidentally also found by [ref] using a slightly different combined “current” data set that, most notably, did not include the BOSS and WiggleZ BAO measurements.

    Testable dark energy predictions from current data · Principal Components · 0.96

Cites as background 4 papers

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