التفاصيل البيبلوغرافية
| العنوان: |
Joint Power Spectrum and Voxel Intensity Distribution Forecast on the CO Luminosity Function with COMAP. |
| المؤلفون: |
H. T. Ihle, D. Chung, G. Stein, M. Alvarez, J. R. Bond, P. C. Breysse, K. A. Cleary, H. K. Eriksen, M. K. Foss, J. O. Gundersen, S. Harper, N. Murray, H. Padmanabhan, M. P. Viero, I. K. Wehus, collaboration, COMAP |
| المصدر: |
Astrophysical Journal; 1/20/2019, Vol. 871 Issue 1, p1-1, 1p |
| مصطلحات موضوعية: |
STELLAR luminosity function, GAUSSIAN processes, DARK matter, GALACTIC halos, POWER spectra, COMPUTER simulation |
| مستخلص: |
We develop a framework for joint constraints on the CO luminosity function based on power spectra (PS) and voxel intensity distributions (VID) and apply this to simulations of CO Mapping Array Pathfinder (COMAP), a CO intensity mapping experiment. This Bayesian framework is based on a Markov chain Monte Carlo (MCMC) sampler coupled to a Gaussian likelihood with a joint PS + VID covariance matrix computed from a large number of fiducial simulations and re-calibrated with a small number of simulations per MCMC step. The simulations are based on dark matter halos from fast peak patch simulations combined with the LCO(Mhalo) model of Li et al. We find that the relative power to constrain the CO luminosity function depends on the luminosity range of interest. In particular, the VID is more sensitive at large luminosities, while the PS and the VID are both competitive at small and intermediate luminosities. The joint analysis is superior to using either observable separately. When averaging over CO luminosities ranging between , and over 10 cosmological realizations of COMAP Phase 2, the uncertainties (in dex) are larger by 58% and 30% for the PS and VID, respectively, when compared to the joint analysis (PS + VID). This method is generally applicable to any other random field, with a complicated likelihood, as long a fast simulation procedure is available. [ABSTRACT FROM AUTHOR] |
|
Copyright of Astrophysical Journal is the property of IOP Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
Full Text Finder