TY - JOUR
T1 - Foreground separation and constraints on primordial gravitational waves with the PICO space mission
AU - Aurlien, Ragnhild
AU - Remazeilles, Mathieu
AU - Belkner, Sebastian
AU - Carron, Julien
AU - Delabrouille, Jacques
AU - Eriksen, Hans Kristian
AU - Flauger, Raphael
AU - Fuskeland, Unni
AU - Galloway, Mathew
AU - Górski, Krzysztof M.
AU - Hanany, Shaul
AU - Hensley, Brandon S.
AU - Colin Hill, J.
AU - Lawrence, Charles R.
AU - Pryke, Clement
AU - van Engelen, Alexander
AU - Wehus, Ingunn Kathrine
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/6/1
Y1 - 2023/6/1
N2 - PICO is a concept for a NASA probe-scale mission aiming to detect or constrain the tensor to scalar ratio r, a parameter that quantifies the amplitude of inflationary gravity waves. We carry out map-based component separation on simulations with five foreground models and input r values r in = 0 and r in = 0.003. We forecast r determinations using a Gaussian likelihood assuming either no delensing or a residual lensing factor A lens = 27%. By implementing the first full-sky, post component-separation, map-domain delensing, we show that PICO should be able to achieve A lens = 22% - 24%. For four of the five foreground models we find that PICO would be able to set the constraints r < 1.3 × 10-4 to r < 2.7 × 10-4 (95%) if r in = 0, the strongest constraints of any foreseeable instrument. For these models, r = 0.003 is recovered with confidence levels between 18σ and 27σ. We find weaker, and in some cases significantly biased, upper limits when removing few low or high frequency bands. The fifth model gives a 3σ detection when r in = 0 and a 3σ bias with r in = 0.003. However, by correlating r determinations from many small 2.5% sky areas with the mission's 555 GHz data we identify and mitigate the bias. This analysis underscores the importance of large sky coverage. We show that when only low multipoles ℓ ≤ 12 are used, the non-Gaussian shape of the true likelihood gives uncertainties that are on average 30% larger than a Gaussian approximation.
AB - PICO is a concept for a NASA probe-scale mission aiming to detect or constrain the tensor to scalar ratio r, a parameter that quantifies the amplitude of inflationary gravity waves. We carry out map-based component separation on simulations with five foreground models and input r values r in = 0 and r in = 0.003. We forecast r determinations using a Gaussian likelihood assuming either no delensing or a residual lensing factor A lens = 27%. By implementing the first full-sky, post component-separation, map-domain delensing, we show that PICO should be able to achieve A lens = 22% - 24%. For four of the five foreground models we find that PICO would be able to set the constraints r < 1.3 × 10-4 to r < 2.7 × 10-4 (95%) if r in = 0, the strongest constraints of any foreseeable instrument. For these models, r = 0.003 is recovered with confidence levels between 18σ and 27σ. We find weaker, and in some cases significantly biased, upper limits when removing few low or high frequency bands. The fifth model gives a 3σ detection when r in = 0 and a 3σ bias with r in = 0.003. However, by correlating r determinations from many small 2.5% sky areas with the mission's 555 GHz data we identify and mitigate the bias. This analysis underscores the importance of large sky coverage. We show that when only low multipoles ℓ ≤ 12 are used, the non-Gaussian shape of the true likelihood gives uncertainties that are on average 30% larger than a Gaussian approximation.
KW - CMBR experiments
KW - CMBR polarisation
KW - gravitational waves and CMBR polarization
KW - inflation
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U2 - 10.1088/1475-7516/2023/06/034
DO - 10.1088/1475-7516/2023/06/034
M3 - Article
AN - SCOPUS:85163297147
SN - 1475-7516
VL - 2023
JO - Journal of Cosmology and Astroparticle Physics
JF - Journal of Cosmology and Astroparticle Physics
IS - 6
M1 - 034
ER -