{"paper":{"title":"Probing Dark Matter Halos of High-redshift Quasars via Wide-Field Clustering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"High-redshift quasars at z>5 reside in dark matter halos of roughly 10^12 solar masses, with duty cycles low enough to imply most black hole growth is obscured.","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Guangping Ye (HUST), Hao Meng, Huanian Zhang","submitted_at":"2026-02-02T20:33:51Z","abstract_excerpt":"High-redshift quasars have been an excellent tracer to study the astrophysics and cosmology at early Universe. Using 577 spectroscopically confirmed high-redshift quasars and 1,796 highly reliable photometric quasar candidates (all with $5.0 \\leq z < 6.2$, median $M_{1450} \\sim -25.9$) selected via machine learning, we perform wide-field clustering analyses to investigate the large-scale environment of these objects. We construct the projected auto correlation function of those high-redshift quasars that is weighted by its predicted probability of being a true high-redshift quasar, from which "},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"The dark matter halo mass of quasars estimated from the projected auto correlation function is log(M_h/M_⊙)=12.13 ± 0.07 (12.45 ± 0.14), with the bias parameter b of 14.80 ± 0.84 (24.18 ± 3.11) for the redshift interval of 5.0 ≤ z <5.6 (5.6 ≤ z <6.2). The duty cycle is 0.0002 ± 0.0001 (0.0021^{+0.0049}_{-0.0014}) aligning with the f_duty - M_halo scaling relation.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The photometric quasar candidates selected via machine learning are sufficiently pure and the standard halo bias model from lower-redshift simulations applies without modification at z>5.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"High-redshift quasars at 5<z<6.2 reside in dark matter halos of log(M_h/M_sun) ~12.1-12.5 with duty cycles of 0.0002-0.002 indicating obscured black hole growth.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"High-redshift quasars at z>5 reside in dark matter halos of roughly 10^12 solar masses, with duty cycles low enough to imply most black hole growth is obscured.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"879850a00945d64fe7e9fbf3a01091af9fa536532528fc32cbf8fb31c9c03bce"},"source":{"id":"2602.02778","kind":"arxiv","version":3},"verdict":{"id":"a9f476a3-7e5c-4722-bd78-ea36af1328cf","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-16T07:49:28.768986Z","strongest_claim":"The dark matter halo mass of quasars estimated from the projected auto correlation function is log(M_h/M_⊙)=12.13 ± 0.07 (12.45 ± 0.14), with the bias parameter b of 14.80 ± 0.84 (24.18 ± 3.11) for the redshift interval of 5.0 ≤ z <5.6 (5.6 ≤ z <6.2). The duty cycle is 0.0002 ± 0.0001 (0.0021^{+0.0049}_{-0.0014}) aligning with the f_duty - M_halo scaling relation.","one_line_summary":"High-redshift quasars at 5<z<6.2 reside in dark matter halos of log(M_h/M_sun) ~12.1-12.5 with duty cycles of 0.0002-0.002 indicating obscured black hole growth.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The photometric quasar candidates selected via machine learning are sufficiently pure and the standard halo bias model from lower-redshift simulations applies without modification at z>5.","pith_extraction_headline":"High-redshift quasars at z>5 reside in dark matter halos of roughly 10^12 solar masses, with duty cycles low enough to imply most black hole growth is obscured."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2602.02778/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"343e9e45e727645a479c91491bf28aff939eed3de43ce21d56dd45dc6a2aa163"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}