Masking line foregrounds in intensity mapping surveys
1
Citation
0
Reference
10
Related Paper
Citation Trend
Abstract:
We address the problem of line confusion in intensity mapping surveys and explore the possibility to mitigate line foreground contamination by progressively masking the brightest pixels in the observed map. We consider experiments targeting CO(1-0) at $z=3$, Ly$\alpha$ at $z=7$, and CII at $z=7$, and use simulated intensity maps, which include both clustering and shot noise components of the signal and possible foregrounds, in order to test the efficiency of our method. We find that for CO and Ly$\alpha$ it is quite possible to remove most of the foreground contribution from the maps via only 1%-3% pixel masking. The CII maps will be more difficult to clean, however, due to instrumental constraints and the high-intensity foreground contamination involved. While the masking procedure sacrifices much of the astrophysical information present in our maps, we demonstrate that useful cosmological information in the targeted lines can be successfully retrieved.Keywords:
Intensity mapping
Confusion
Line (geometry)
Intensity
Anyone involved in caring for people with confusion should find Una Holden’s little book simple and easy to read and thoroughly recommendable.
Confusion
Cite
Citations (0)
Intensity interferometry does not essentially destroy information concerning the brightness temperature distribution. It merely confuses the actual distribution with a number (which can be small) of other possible distributions. All distributions can be recovered by a computational procedure which is described in detail and is illustrated with examples. The computational procedure can be used (1) to determine whether a measured intensity interferogram is uniquely related to the brightness temperature distribution and (2) to improve the computational procedure for reconstructing brightness temperature distributions from compound intensity interferometric measurements.
Intensity
Intensity mapping
Cite
Citations (42)
We address the problem of line confusion in intensity mapping surveys and explore the possibility to mitigate line foreground contamination by progressively masking the brightest pixels in the observed map. We consider experiments targeting CO(1-0) at $z=3$, Ly$\alpha$ at $z=7$, and CII at $z=7$, and use simulated intensity maps, which include both clustering and shot noise components of the signal and possible foregrounds, in order to test the efficiency of our method. We find that for CO and Ly$\alpha$ it is quite possible to remove most of the foreground contribution from the maps via only 1%-3% pixel masking. The CII maps will be more difficult to clean, however, due to instrumental constraints and the high-intensity foreground contamination involved. While the masking procedure sacrifices much of the astrophysical information present in our maps, we demonstrate that useful cosmological information in the targeted lines can be successfully retrieved.
Intensity mapping
Confusion
Line (geometry)
Intensity
Cite
Citations (1)
Confusion
Cite
Citations (12)
Intensity
Intensity mapping
Cite
Citations (56)
We address the problem of line confusion in intensity-mapping surveys and explore the possibility to mitigate line foreground contamination by progressively masking the brightest pixels in the observed map. We consider experiments targeting CO(1–0) at z = 3, Ly α at z = 7, and C ii at z = 7, and use simulated intensity maps, which include both clustering and shot-noise components of the signal and possible foregrounds, in order to test the efficiency of our method. We find that for CO and Ly α, it is quite possible to remove most of the foreground contribution from the maps via only 1–3 per cent pixel masking. The C ii maps will be more difficult to clean, however, due to instrumental constraints and the high-intensity foreground contamination involved. While the masking procedure sacrifices much of the astrophysical information present in our maps, we demonstrate that useful cosmological information in the targeted lines can be successfully retrieved.
Intensity mapping
Confusion
Line (geometry)
Intensity
Cite
Citations (45)
Intensity
Intensity mapping
Light intensity
Cite
Citations (1)
We explore the possibility of performing an HI intensity mapping survey with the South African MeerKAT radio telescope, which is a precursor to the Square Kilometre Array (SKA). We propose to use cross-correlations between the MeerKAT intensity mapping survey and optical galaxy surveys, in order to mitigate systematic effects and produce robust cosmological measurements. Our forecasts show that precise measurements of the HI signal can be made in the near future. These can be used to constrain HI and cosmological parameters across a wide range of redshift.
Intensity mapping
Intensity
SIGNAL (programming language)
Cite
Citations (4)
Intensity
Quantum interference
Intensity mapping
Cite
Citations (0)
We address the problem of line confusion in intensity mapping surveys and explore the possibility to mitigate line foreground contamination by progressively masking the brightest pixels in the observed map. We consider experiments targeting CO(1-0) at $z=3$, Ly$\alpha$ at $z=7$, and CII at $z=7$, and use simulated intensity maps, which include both clustering and shot noise components of the signal and possible foregrounds, in order to test the efficiency of our method. We find that for CO and Ly$\alpha$ it is quite possible to remove most of the foreground contribution from the maps via only 1%-3% pixel masking. The CII maps will be more difficult to clean, however, due to instrumental constraints and the high-intensity foreground contamination involved. While the masking procedure sacrifices much of the astrophysical information present in our maps, we demonstrate that useful cosmological information in the targeted lines can be successfully retrieved.
Confusion
Intensity mapping
Line (geometry)
Intensity
Cite
Citations (1)