pith:J53UT7NP
Forecasts of CMB $E$-mode anomalies for AliCPT-1
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.
arxiv:2604.20699 v2 · 2026-04-22 · astro-ph.CO
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Claims
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.
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.
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.
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| First computed | 2026-06-09T02:07:26.714419Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4f7749fdaf99977a841965f67e1e6e6a404fe0c8840a15a0a5f24888ef8bd76a
Aliases
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/J53UT7NPTGLXVBAZMX3H4HTONJ \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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