The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Quasar Clustering and the Lifetime of Quasars
Open accessAbstract
Although the population of luminous quasars rises and falls over a period of ~10 9 yr, the typical lifetime of individual quasars is uncertain by several orders of magnitude. We show that quasar clustering measurements can substantially narrow the range of possible lifetimes, with the assumption that luminous quasars reside in the most massive host halos. If quasars are long-lived, then they are rare phenomena that are highly biased with respect to the underlying dark matter, while if they are short-lived they reside in more typical halos that are less strongly clustered. For a given quasar lifetime, we calculate the minimum host halo mass by matching the observed space density of quasars, using the Press-Schechter approximation. We use the results of Mo & White to calculate the clustering of these halos, and hence of the quasars they contain, as a function of quasar lifetime. A lifetime of t Q = 4 × 10 7 yr, the e -folding timescale of an Eddington luminosity black hole with accretion efficiency = 0.1, corresponds to a quasar correlation length of r 0 ≈ 10 h -1 Mpc in low-density cosmological models at z = 2-3; this value is consistent with current clustering measurements, but these have large uncertainties. High-precision clustering measurements from the Two-Degree Field (2dF) and Sloan quasar surveys will test our key assumption of a tight correlation between quasar luminosity and host halo mass, and if this assumption holds, then they should determine t Q to a factor of 3 or better. An accurate determination of the quasar lifetime will show whether supermassive black holes acquire most of their mass during high-luminosity accretion, and it will show whether the black holes in the nuclei of typical nearby galaxies were once the central engines of high-luminosity quasars.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
Riess, A. G., Filippenko, A. V., Challis, P., Clocchiatti, A., Diercks, A., Garnavich, P. M., Gilliland, R. L., Hogan, C. J., Jha, S., Kirshner, R. P., et al. (1998) · The Astronomical Journal · doi:10.1086/300499 · Cited by 19,704
Measurements of Ω and Λ from 42 High‐Redshift Supernovae
Perlmutter, S., Aldering, G., Goldhaber, G., Knop, R. A., Nugent, P., Castro, P. G., Deustua, S., Fabbro, S., Goobar, A., Groom, D. E., et al. (1999) · The Astrophysical Journal · doi:10.1086/307221 · Cited by 18,062
A Universal Density Profile from Hierarchical Clustering
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1997) · The Astrophysical Journal · doi:10.1086/304888 · Cited by 9,917
The statistics of peaks of Gaussian random fields
Bardeen, J. M., Bond, J. R., Kaiser, N., & Szalay, A. S. (1986) · The Astrophysical Journal · doi:10.1086/164143 · Cited by 3,270
Cited by
A Redshift Survey of the Submillimeter Galaxy Population
Chapman, S. C., Blain, A. W., Smail, I., & Ivison, R. J. (2005) · The Astrophysical Journal · doi:10.1086/428082 · Cited by 1,163
The Dark Energy Survey: more than dark energy – an overview
(2016) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stw641 · Cited by 1,019
Desjacques, V., Jeong, D., & Schmidt, F. (2018) · Physics Reports · doi:10.1016/j.physrep.2017.12.002 · Cited by 817
Beyond the Bulge: A Fundamental Relation between Supermassive Black Holes and Dark Matter Halos
Ferrarese, L. (2002) · The Astrophysical Journal · doi:10.1086/342308 · Cited by 600
Clustering of High-Redshift (z≥ 2.9) Quasars from the Sloan Digital Sky Survey
Shen, Y., Strauss, M. A., Oguri, M., Hennawi, J. F., Fan, X., Richards, G. T., Hall, P. B., Gunn, J. E., Schneider, D. P., Szalay, A. S., et al. (2007) · The Astronomical Journal · doi:10.1086/513517 · Cited by 384
Metadata
- Authors
- Martini, P., & Weinberg, D. H.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2001-01-20
- Volume
- 547
- Issue
- 1
- Pages
- 12-26
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2124682067
- Cited by
- 336
- References
- 4
- FWCI
- 12.42
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quasar Clustering and the Lifetime of Quasars. https://app.cochat.ai/papers/10.1086/318331
- The paper
- Martini, P., & Weinberg, D. H. (2001). Quasar Clustering and the Lifetime of Quasars. The Astrophysical Journal. https://doi.org/10.1086/318331
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.