Improved Measurements of the CMB Power Spectrum with ACBAR
Bibliographic record
Abstract
We report improved measurements of temperature anisotropies in the cosmic\nmicrowave background (CMB) radiation made with the Arcminute Cosmology\nBolometer Array Receiver (ACBAR). In this paper, we use a new analysis\ntechnique and include 30% more data from the 2001 and 2002 observing seasons\nthan the first release to derive a new set of band-power measurements with\nsignificantly smaller uncertainties. The planet-based calibration used\npreviously has been replaced by comparing the flux of RCW38 as measured by\nACBAR and BOOMERANG to transfer the WMAP-based BOOMERANG calibration to ACBAR.\nThe resulting power spectrum is consistent with the theoretical predictions for\na spatially flat, dark energy dominated LCDM cosmology including the effects of\ngravitational lensing. Despite the exponential damping on small angular scales,\nthe primary CMB fluctuations are detected with a signal-to-noise ratio of\ngreater than 4 up to multipoles of l=2000. This increase in the precision of\nthe fine-scale CMB power spectrum leads to only a modest decrease in the\nuncertainties on the parameters of the standard cosmological model. At high\nangular resolution, secondary anisotropies are predicted to be a significant\ncontribution to the measured anisotropy. A joint analysis of the ACBAR results\nat 150 GHz and the CBI results at 30 GHz in the multipole range 2000 < l < 3000\nshows that the power, reported by CBI in excess of the predicted primary\nanisotropy, has a frequency spectrum consistent with the thermal\nSunyaev-Zel'dovich effect and inconsistent with primary CMB. The results\nreported here are derived from a subset of the total ACBAR data set; the final\nACBAR power spectrum at 150 GHz will include 3.7 times more effective\nintegration time and 6.5 times more sky coverage than is used here.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".