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We propose a new internal linear combination (ILC) method in the pixel space, applicable on large angular scales of the sky, to estimate a foreground minimized Cosmic Microwave Background (CMB) temperature anisotropy map by incorporating…

宇宙学与河外天体物理 · 物理学 2018-11-07 Vipin Sudevan , Rajib Saha

Neutral hydrogen (HI) $21$-cm intensity mapping (IM) is a promising probe of the large-scale structures in the Universe. However, a few orders of magnitude brighter foregrounds obscure the IM signal. Here we use the Tapered Gridded…

Many deep wide-band wide-field radio interferometric surveys are being designed to accurately measure intensities, spectral indices and polarization properties of faint source populations. In this paper we compare various wideband imaging…

天体物理仪器与方法 · 物理学 2016-10-26 Urvashi Rau , Sanjay Bhatnagar , Frazer N. Owen

Line-intensity mapping (LIM) is emerging as a powerful probe of the high-redshift Universe, with a growing number of LIM experiments targeting various spectral lines deep into the epochs of reionization and cosmic dawn. A key remaining…

宇宙学与河外天体物理 · 物理学 2025-10-29 Sarah Libanore , Julian B. Munoz , Ely D. Kovetz

The intense radiation emitted by luminous quasars dramatically alters the ionization state of their surrounding IGM. This so-called proximity effect extends out to tens of Mpc, and manifests as large coherent regions of enhanced…

星系天体物理 · 物理学 2019-09-25 Tobias M. Schmidt , Joseph F. Hennawi , Khee-Gan Lee , Zarija Lukic , Jose Onorbe , Martin White

Neutral hydrogen (H$_{\rm I}$) intensity mapping is capable of measuring redshift evolution of H$_{\rm I}$ density parameter $\Omega_{\rm H_{\rm I}}$, which is an important parameter to understand structure formation in the…

宇宙学与河外天体物理 · 物理学 2020-09-28 Shoichiro Tanaka , Shintaro Yoshiura , Kenji Kubota , Keitaro Takahashi , Atsushi J. Nishizawa , Naoshi Sugiyama

Understanding the formation and evolution of the Universe is crucial for cosmological studies, and the line intensity mapping provides a powerful tool for this kind of study. We propose to make use of multipole moments of redshift-space…

宇宙学与河外天体物理 · 物理学 2020-05-20 Yan Gong , Xuelei Chen , Asantha Cooray

Observed Cosmic Microwave Background (CMB) maps are contaminated by foregrounds, some of which are usually masked to perform cosmological analyses. If masks are correlated to the lensing signal, such as those removing extragalactic…

宇宙学与河外天体物理 · 物理学 2024-01-17 Margherita Lembo , Giulio Fabbian , Julien Carron , Antony Lewis

The cosmic infrared background (CIB) is a powerful probe of large-scale structure across a very large redshift range, and consists of unresolved redshifted infrared emission from dusty galaxies. It can be used to study the astrophysics of…

宇宙学与河外天体物理 · 物理学 2019-10-02 Daniel Lenz , Olivier Doré , Guilaine Lagache

Cosmic microwave background radiation (CMB) observations are unavoidably contaminated by emission from various extra-galactic foregrounds, which must be removed to obtain reliable measurements of the cosmological signal. In this paper, we…

Contamination by polarized foregrounds is one of the biggest challenges for future polarized cosmic microwave background (CMB) surveys and the potential detection of primordial $B$-modes. Future experiments, such as Simons Observatory (SO)…

宇宙学与河外天体物理 · 物理学 2022-01-12 Carlos Hervías-Caimapo , Anna Bonaldi , Michael L. Brown , Kevin M. Huffenberger

AIMS: One of the most challenging and important problem of digital signal processing in Cosmology is the separation of foreground contamination from cosmic microwave background (CMB). This problem becomes even more difficult in situations,…

天体物理学 · 物理学 2008-02-05 Robertio Vio , Paola Andreani

Semantic scene understanding is an essential task for self-driving vehicles and mobile robots. In our work, we aim to estimate a semantic segmentation map, in which the foreground objects are removed and semantically inpainted with…

计算机视觉与模式识别 · 计算机科学 2020-02-18 Chenyang Lu , Gijs Dubbelman

We present circular and linear cross-correlation tests and the "friend-of-friend" analysis for phases of the Internal Linear Combination Map (ILC) and the WMAP foregrounds for all K--W frequency bands at the range of multipoles…

天体物理学 · 物理学 2009-11-10 P. D. Naselsky , A. G. Doroshkevich , O. V. Verkhodanov

Line intensity mapping (LIM) is a novel observational technique in astrophysics that utilizes the integrated emission from multiple atomic and molecular transition lines from galaxies to probe the complex physics of galaxy formation and…

星系天体物理 · 物理学 2024-06-13 Anirban Roy , Nicholas Battaglia , Anthony R. Pullen

Upcoming and future neutral hydrogen Intensity Mapping surveys offer a great opportunity to constrain cosmology in the post-reionization Universe, provided a good accuracy is achieved in the separation between the strong foregrounds and the…

宇宙学与河外天体物理 · 物理学 2021-09-02 Siyambonga D. Matshawule , Marta Spinelli , Mario G. Santos , Sibonelo Ngobese

We discuss a new method of estimating the cosmic infrared background (CIB) from the spatial properties of infrared maps and give the limits on the CIB from applying it to the COBE/DIRBE maps. The strongest limits are obtained at mid- to…

天体物理学 · 物理学 2007-05-23 A. Kashlinsky , J. C. Mather , S. Odenwald

The presence of astrophysical emissions in microwave observations forces us to perform component separation to extract the Cosmic Microwave Background (CMB) signal. However, even in the most optimistic cases, there are still strongly…

宇宙学与河外天体物理 · 物理学 2024-09-26 C. Gimeno-Amo , E. Martínez-González , R. B. Barreiro

This paper provides full sky maps of foreground emission in all WMAP channels, with very low residual contamination from the Cosmic Microwave Background (CMB) anisotropies and controlled level of instrumental noise. Foreground maps are…

宇宙学与河外天体物理 · 物理学 2013-09-25 Tuhin Ghosh , Jacques Delabrouille , Mathieu Remazeilles , Jean-Francois Cardoso , Tarun Souradeep

We introduce DAYENU, a linear, spectral filter for HI intensity mapping that achieves the desirable foreground mitigation and error minimization properties of inverse co-variance weighting with minimal modeling of the underlying data.…