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@article{Errard:2015:1/63,
author = {Errard, J and Ade, PAR and Akiba, Y and Arnold, K and Atlas, M and Baccigalupi, C and Barron, D and Boettger, D and Borrill, J and Chapman, S and Chinone, Y and Cukierman, A and Delabrouille, J and Dobbs, M and Ducout, A and Elleflot, T and Fabbian, G and Feng, C and Feeney, S and Gilbert, A and Goeckner-Wald, N and Halverson, NW and Hasegawa, M and Hattori, K and Hazumi, M and Hill, C and Holzapfel, WL and Hori, Y and Inoue, Y and Jaehnig, GC and Jaffe, AH and Jeong, O and Katayama, N and Kaufman, J and Keating, B and Kermish, Z and Keskitalo, R and Kisner, T and Le, Jeune M and Lee, AT and Leitch, EM and Leon, D and Linder, E and Matsuda, F and Matsumura, T and Miller, NJ and Myers, MJ and Navaroli, M and Nishino, H and Okamura, T and Paar, H and Peloton, J and Poletti, D and Puglisi, G and Rebeiz, G and Reichardt, CL and Richards, PL and Ross, C and Rotermund, KM and Schenck, DE and Sherwin, BD and Siritanasak, P and Smecher, G and Stebor, N and Steinbach, B and Stompor, R and Suzuk},
doi = {1/63},
journal = {Astrophysical Journal},
title = {Modeling atmospheric emission for CMB ground-based observations},
url = {http://dx.doi.org/10.1088/0004-637X/809/1/63},
volume = {809},
year = {2015}
}

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TY  - JOUR
AB  - Atmosphere is one of the most important noise sources for ground-based cosmic microwave background (CMB) experiments. By increasing optical loading on the detectors, it amplifies their effective noise, while its fluctuations introduce spatial and temporal correlations between detected signals. We present a physically motivated 3D-model of the atmosphere total intensity emission in the millimeter and sub-millimeter wavelengths. We derive a new analytical estimate for the correlation between detectors time-ordered data as a function of the instrument and survey design, as well as several atmospheric parameters such as wind, relative humidity, temperature and turbulence characteristics. Using an original numerical computation, we examine the effect of each physical parameter on the correlations in the time series of a given experiment. We then use a parametric-likelihood approach to validate the modeling and estimate atmosphere parameters from the polarbear-i project first season data set. We derive a new 1.0% upper limit on the linear polarization fraction of atmospheric emission. We also compare our results to previous studies and weather station measurements. The proposed model can be used for realistic simulations of future ground-based CMB observations.
AU  - Errard,J
AU  - Ade,PAR
AU  - Akiba,Y
AU  - Arnold,K
AU  - Atlas,M
AU  - Baccigalupi,C
AU  - Barron,D
AU  - Boettger,D
AU  - Borrill,J
AU  - Chapman,S
AU  - Chinone,Y
AU  - Cukierman,A
AU  - Delabrouille,J
AU  - Dobbs,M
AU  - Ducout,A
AU  - Elleflot,T
AU  - Fabbian,G
AU  - Feng,C
AU  - Feeney,S
AU  - Gilbert,A
AU  - Goeckner-Wald,N
AU  - Halverson,NW
AU  - Hasegawa,M
AU  - Hattori,K
AU  - Hazumi,M
AU  - Hill,C
AU  - Holzapfel,WL
AU  - Hori,Y
AU  - Inoue,Y
AU  - Jaehnig,GC
AU  - Jaffe,AH
AU  - Jeong,O
AU  - Katayama,N
AU  - Kaufman,J
AU  - Keating,B
AU  - Kermish,Z
AU  - Keskitalo,R
AU  - Kisner,T
AU  - Le,Jeune M
AU  - Lee,AT
AU  - Leitch,EM
AU  - Leon,D
AU  - Linder,E
AU  - Matsuda,F
AU  - Matsumura,T
AU  - Miller,NJ
AU  - Myers,MJ
AU  - Navaroli,M
AU  - Nishino,H
AU  - Okamura,T
AU  - Paar,H
AU  - Peloton,J
AU  - Poletti,D
AU  - Puglisi,G
AU  - Rebeiz,G
AU  - Reichardt,CL
AU  - Richards,PL
AU  - Ross,C
AU  - Rotermund,KM
AU  - Schenck,DE
AU  - Sherwin,BD
AU  - Siritanasak,P
AU  - Smecher,G
AU  - Stebor,N
AU  - Steinbach,B
AU  - Stompor,R
AU  - Suzuki,A
AU  - Tajima,O
AU  - Takakura,S
AU  - Tikhomirov,A
AU  - Tomaru,T
AU  - Whitehorn,N
AU  - Wilson,B
AU  - Yadav,A
AU  - Zahn,O
DO  - 1/63
PY  - 2015///
SN  - 0004-637X
TI  - Modeling atmospheric emission for CMB ground-based observations
T2  - Astrophysical Journal
UR  - http://dx.doi.org/10.1088/0004-637X/809/1/63
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000361653500063&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/60853
VL  - 809
ER  -

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Professor Andrew H Jaffe

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