{"paper":{"title":"Forecasts of CMB $E$-mode anomalies for AliCPT-1","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"Forecasts indicate AliCPT combined with Simons Observatory can detect injected E-mode dipole modulation at 99% confidence, while AliCPT alone risks biases in alignment and parity tests due to limited sky coverage.","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Jiazheng Dou, Wen Zhao","submitted_at":"2026-04-22T15:44:13Z","abstract_excerpt":"The standard $\\Lambda$CDM model has been highly successful in describing cosmic microwave background (CMB) observations. Nevertheless, a set of large-scale statistical anomalies persists in temperature anisotropies across WMAP and Planck. CMB $E$-mode polarization offers an independent probe of these anomalies, circumventing the look-elsewhere effect inherent in temperature-only analyses. In this paper, we forecast the capability of the Ali CMB Polarization Telescope (AliCPT), a ground-based CMB experiment in the Northern Hemisphere, to detect such anomalies in large-scale $E$-mode polarizatio"},"claims":{"count":3,"items":[{"kind":"strongest_claim","text":"For dipole modulation, we validate the local variance estimator on modulated simulations with an input amplitude A_d = 0.07, and find that the combined AliCPT+SO dataset is likely to detect the injected E-mode modulation at a 99% confidence level.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the NILC component separation applied to the simulated maps perfectly isolates the E-mode signal without introducing biases that mimic or mask the anomalies, and that the statistical properties of any real E-mode anomalies match those assumed in the unconstrained isotropic simulations.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Forecasts indicate AliCPT combined with Simons Observatory can detect injected E-mode dipole modulation at 99% confidence, while AliCPT alone risks biases in alignment and parity tests due to limited sky coverage.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"}],"snapshot_sha256":"89586ff6c3c39b99cc856a2e47421fc02b91cdbebc70a211d326b262b7ff8cc1"},"source":{"id":"2604.20699","kind":"arxiv","version":2},"verdict":{"id":"4f9aec94-47c7-4b05-bff5-e47597392a48","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-09T23:27:47.945912Z","strongest_claim":"For dipole modulation, we validate the local variance estimator on modulated simulations with an input amplitude A_d = 0.07, and find that the combined AliCPT+SO dataset is likely to detect the injected E-mode modulation at a 99% confidence level.","one_line_summary":"Forecasts indicate AliCPT combined with Simons Observatory can detect injected E-mode dipole modulation at 99% confidence, while AliCPT alone risks biases in alignment and parity tests due to limited sky coverage.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the NILC component separation applied to the simulated maps perfectly isolates the E-mode signal without introducing biases that mimic or mask the anomalies, and that the statistical properties of any real E-mode anomalies match those assumed in the unconstrained isotropic simulations.","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2604.20699/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-21T14:34:17.967220Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-20T01:39:20.052646Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"08ee80258e210302a814adc90c5e947aef3c0cb88f456055adb49e142c960254"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}