Search

Your search keyword '"Chou TL"' showing total 3 results
Start Over "Chou TL" Database OAIster
3 results on '"Chou TL"'

1. The Design and Integrated Performance of SPT-3G

Author

Sobrin, JA, Sobrin, JA, Anderson, AJ, Bender, AN, Benson, BA, Dutcher, D, Foster, A, Goeckner-Wald, N, Montgomery, J, Nadolski, A, Rahlin, A, Ade, PAR, Ahmed, Z, Anderes, E, Archipley, M, Austermann, JE, Avva, JS, Aylor, K, Balkenhol, L, Barry, PS, Thakur, RB, Benabed, K, Bianchini, F, Bleem, LE, Bouchet, FR, Bryant, L, Byrum, K, Carlstrom, JE, Carter, FW, Cecil, TW, Chang, CL, Chaubal, P, Chen, G, Cho, HM, Chou, TL, Cliche, JF, Crawford, TM, Cukierman, A, Daley, C, Haan, TD, Denison, EV, Dibert, K, Ding, J, Dobbs, MA, Everett, W, Feng, C, Ferguson, KR, Fu, J, Galli, S, Gambrel, AE, Gardner, RW, Gualtieri, R, Guns, S, Gupta, N, Guyser, R, Halverson, NW, Harke-Hosemann, AH, Harrington, NL, Henning, JW, Hilton, GC, Hivon, E, Holder, GP, Holzapfel, WL, Hood, JC, Howe, D, Huang, N, Irwin, KD, Jeong, OB, Jonas, M, Jones, A, Khaire, TS, Knox, L, Kofman, AM, Korman, M, Kubik, DL, Kuhlmann, S, Kuo, CL, Lee, AT, Leitch, EM, Lowitz, AE, Lu, C, Meyer, SS, Michalik, D, Millea, M, Natoli, T, Nguyen, H, Noble, GI, Novosad, V, Omori, Y, Padin, S, Pan, Z, Paschos, P, Pearson, J, Posada, CM, Prabhu, K, Quan, W, Reichardt, CL, Riebel, D, Riedel, B, Rouble, M, Ruhl, JE, Sobrin, JA, Sobrin, JA, Anderson, AJ, Bender, AN, Benson, BA, Dutcher, D, Foster, A, Goeckner-Wald, N, Montgomery, J, Nadolski, A, Rahlin, A, Ade, PAR, Ahmed, Z, Anderes, E, Archipley, M, Austermann, JE, Avva, JS, Aylor, K, Balkenhol, L, Barry, PS, Thakur, RB, Benabed, K, Bianchini, F, Bleem, LE, Bouchet, FR, Bryant, L, Byrum, K, Carlstrom, JE, Carter, FW, Cecil, TW, Chang, CL, Chaubal, P, Chen, G, Cho, HM, Chou, TL, Cliche, JF, Crawford, TM, Cukierman, A, Daley, C, Haan, TD, Denison, EV, Dibert, K, Ding, J, Dobbs, MA, Everett, W, Feng, C, Ferguson, KR, Fu, J, Galli, S, Gambrel, AE, Gardner, RW, Gualtieri, R, Guns, S, Gupta, N, Guyser, R, Halverson, NW, Harke-Hosemann, AH, Harrington, NL, Henning, JW, Hilton, GC, Hivon, E, Holder, GP, Holzapfel, WL, Hood, JC, Howe, D, Huang, N, Irwin, KD, Jeong, OB, Jonas, M, Jones, A, Khaire, TS, Knox, L, Kofman, AM, Korman, M, Kubik, DL, Kuhlmann, S, Kuo, CL, Lee, AT, Leitch, EM, Lowitz, AE, Lu, C, Meyer, SS, Michalik, D, Millea, M, Natoli, T, Nguyen, H, Noble, GI, Novosad, V, Omori, Y, Padin, S, Pan, Z, Paschos, P, Pearson, J, Posada, CM, Prabhu, K, Quan, W, Reichardt, CL, Riebel, D, Riedel, B, Rouble, M, and Ruhl, JE

Abstract

SPT-3G is the third survey receiver operating on the South Pole Telescope dedicated to high-resolution observations of the cosmic microwave background (CMB). Sensitive measurements of the temperature and polarization anisotropies of the CMB provide a powerful data set for constraining cosmology. Additionally, CMB surveys with arcminute-scale resolution are capable of detecting galaxy clusters, millimeter-wave bright galaxies, and a variety of transient phenomena. The SPT-3G instrument provides a significant improvement in mapping speed over its predecessors, SPT-SZ and SPTpol. The broadband optics design of the instrument achieves a 430 mm diameter image plane across observing bands of 95, 150, and 220 GHz, with 1.2′ FWHM beam response at 150 GHz. In the receiver, this image plane is populated with 2690 dual-polarization, trichroic pixels ( 1/416,000 detectors) read out using a 68× digital frequency-domain multiplexing readout system. In 2018, SPT-3G began a multiyear survey of 1500 deg2 of the southern sky. We summarize the unique optical, cryogenic, detector, and readout technologies employed in SPT-3G, and we report on the integrated performance of the instrument.

Published
2022

2. The Design and Integrated Performance of SPT-3G

Author

Sobrin, JA, Sobrin, JA, Anderson, AJ, Bender, AN, Benson, BA, Dutcher, D, Foster, A, Goeckner-Wald, N, Montgomery, J, Nadolski, A, Rahlin, A, Ade, PAR, Ahmed, Z, Anderes, E, Archipley, M, Austermann, JE, Avva, JS, Aylor, K, Balkenhol, L, Barry, PS, Thakur, RB, Benabed, K, Bianchini, F, Bleem, LE, Bouchet, FR, Bryant, L, Byrum, K, Carlstrom, JE, Carter, FW, Cecil, TW, Chang, CL, Chaubal, P, Chen, G, Cho, HM, Chou, TL, Cliche, JF, Crawford, TM, Cukierman, A, Daley, C, Haan, TD, Denison, EV, Dibert, K, Ding, J, Dobbs, MA, Everett, W, Feng, C, Ferguson, KR, Fu, J, Galli, S, Gambrel, AE, Gardner, RW, Gualtieri, R, Guns, S, Gupta, N, Guyser, R, Halverson, NW, Harke-Hosemann, AH, Harrington, NL, Henning, JW, Hilton, GC, Hivon, E, Holder, GP, Holzapfel, WL, Hood, JC, Howe, D, Huang, N, Irwin, KD, Jeong, OB, Jonas, M, Jones, A, Khaire, TS, Knox, L, Kofman, AM, Korman, M, Kubik, DL, Kuhlmann, S, Kuo, CL, Lee, AT, Leitch, EM, Lowitz, AE, Lu, C, Meyer, SS, Michalik, D, Millea, M, Natoli, T, Nguyen, H, Noble, GI, Novosad, V, Omori, Y, Padin, S, Pan, Z, Paschos, P, Pearson, J, Posada, CM, Prabhu, K, Quan, W, Reichardt, CL, Riebel, D, Riedel, B, Rouble, M, Ruhl, JE, Sobrin, JA, Sobrin, JA, Anderson, AJ, Bender, AN, Benson, BA, Dutcher, D, Foster, A, Goeckner-Wald, N, Montgomery, J, Nadolski, A, Rahlin, A, Ade, PAR, Ahmed, Z, Anderes, E, Archipley, M, Austermann, JE, Avva, JS, Aylor, K, Balkenhol, L, Barry, PS, Thakur, RB, Benabed, K, Bianchini, F, Bleem, LE, Bouchet, FR, Bryant, L, Byrum, K, Carlstrom, JE, Carter, FW, Cecil, TW, Chang, CL, Chaubal, P, Chen, G, Cho, HM, Chou, TL, Cliche, JF, Crawford, TM, Cukierman, A, Daley, C, Haan, TD, Denison, EV, Dibert, K, Ding, J, Dobbs, MA, Everett, W, Feng, C, Ferguson, KR, Fu, J, Galli, S, Gambrel, AE, Gardner, RW, Gualtieri, R, Guns, S, Gupta, N, Guyser, R, Halverson, NW, Harke-Hosemann, AH, Harrington, NL, Henning, JW, Hilton, GC, Hivon, E, Holder, GP, Holzapfel, WL, Hood, JC, Howe, D, Huang, N, Irwin, KD, Jeong, OB, Jonas, M, Jones, A, Khaire, TS, Knox, L, Kofman, AM, Korman, M, Kubik, DL, Kuhlmann, S, Kuo, CL, Lee, AT, Leitch, EM, Lowitz, AE, Lu, C, Meyer, SS, Michalik, D, Millea, M, Natoli, T, Nguyen, H, Noble, GI, Novosad, V, Omori, Y, Padin, S, Pan, Z, Paschos, P, Pearson, J, Posada, CM, Prabhu, K, Quan, W, Reichardt, CL, Riebel, D, Riedel, B, Rouble, M, and Ruhl, JE

Abstract

SPT-3G is the third survey receiver operating on the South Pole Telescope dedicated to high-resolution observations of the cosmic microwave background (CMB). Sensitive measurements of the temperature and polarization anisotropies of the CMB provide a powerful data set for constraining cosmology. Additionally, CMB surveys with arcminute-scale resolution are capable of detecting galaxy clusters, millimeter-wave bright galaxies, and a variety of transient phenomena. The SPT-3G instrument provides a significant improvement in mapping speed over its predecessors, SPT-SZ and SPTpol. The broadband optics design of the instrument achieves a 430 mm diameter image plane across observing bands of 95, 150, and 220 GHz, with 1.2′ FWHM beam response at 150 GHz. In the receiver, this image plane is populated with 2690 dual-polarization, trichroic pixels ( 1/416,000 detectors) read out using a 68× digital frequency-domain multiplexing readout system. In 2018, SPT-3G began a multiyear survey of 1500 deg2 of the southern sky. We summarize the unique optical, cryogenic, detector, and readout technologies employed in SPT-3G, and we report on the integrated performance of the instrument.

Published
2022

3. Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data

Author

Millea, M, Millea, M, Daley, CM, Chou, TL, Anderes, E, Ade, PAR, Anderson, AJ, Austermann, JE, Avva, JS, Beall, JA, Bender, AN, Benson, BA, Bianchini, F, Bleem, LE, Carlstrom, JE, Chang, CL, Chaubal, P, Chiang, HC, Citron, R, Moran, CC, Crawford, TM, Crites, AT, De Haan, T, Dobbs, MA, Everett, W, Gallicchio, J, George, EM, Goeckner-Wald, N, Guns, S, Gupta, N, Halverson, NW, Henning, JW, Hilton, GC, Holder, GP, Holzapfel, WL, Hrubes, JD, Huang, N, Hubmayr, J, Irwin, KD, Knox, L, Lee, AT, Li, D, Lowitz, A, McMahon, JJ, Meyer, SS, Mocanu, LM, Montgomery, J, Natoli, T, Nibarger, JP, Noble, G, Novosad, V, Omori, Y, Padin, S, Patil, S, Pryke, C, Reichardt, CL, Ruhl, JE, Saliwanchik, BR, Schaffer, KK, Sievers, C, Smecher, G, Stark, AA, Thorne, B, Tucker, C, Veach, T, Vieira, JD, Wang, G, Whitehorn, N, Wu, WLK, Yefremenko, V, Millea, M, Millea, M, Daley, CM, Chou, TL, Anderes, E, Ade, PAR, Anderson, AJ, Austermann, JE, Avva, JS, Beall, JA, Bender, AN, Benson, BA, Bianchini, F, Bleem, LE, Carlstrom, JE, Chang, CL, Chaubal, P, Chiang, HC, Citron, R, Moran, CC, Crawford, TM, Crites, AT, De Haan, T, Dobbs, MA, Everett, W, Gallicchio, J, George, EM, Goeckner-Wald, N, Guns, S, Gupta, N, Halverson, NW, Henning, JW, Hilton, GC, Holder, GP, Holzapfel, WL, Hrubes, JD, Huang, N, Hubmayr, J, Irwin, KD, Knox, L, Lee, AT, Li, D, Lowitz, A, McMahon, JJ, Meyer, SS, Mocanu, LM, Montgomery, J, Natoli, T, Nibarger, JP, Noble, G, Novosad, V, Omori, Y, Padin, S, Patil, S, Pryke, C, Reichardt, CL, Ruhl, JE, Saliwanchik, BR, Schaffer, KK, Sievers, C, Smecher, G, Stark, AA, Thorne, B, Tucker, C, Veach, T, Vieira, JD, Wang, G, Whitehorn, N, Wu, WLK, and Yefremenko, V

Abstract

We perform the first simultaneous Bayesian parameter inference and optimal reconstruction of the gravitational lensing of the cosmic microwave background (CMB), using 100 deg2 of polarization observations from the SPTpol receiver on the South Pole Telescope. These data reach noise levels as low as 5.8 µK arcmin in polarization, which are low enough that the typically used quadratic estimator (QE) technique for analyzing CMB lensing is significantly suboptimal. Conversely, the Bayesian procedure extracts all lensing information from the data and is optimal at any noise level. We infer the amplitude of the gravitational lensing potential to be A f =0.949\,\pm \,0.122 using the Bayesian pipeline, consistent with our QE pipeline result, but with 17% smaller error bars. The Bayesian analysis also provides a simple way to account for systematic uncertainties, performing a similar job as frequentist "bias hardening"or linear bias correction, and reducing the systematic uncertainty on A f due to polarization calibration from almost half of the statistical error to effectively zero. Finally, we jointly constrain A f along with A L, the amplitude of lensing-like effects on the CMB power spectra, demonstrating that the Bayesian method can be used to easily infer parameters both from an optimal lensing reconstruction and from the delensed CMB, while exactly accounting for the correlation between the two. These results demonstrate the feasibility of the Bayesian approach on real data, and pave the way for future analysis of deep CMB polarization measurements with SPT-3G, Simons Observatory, and CMB-S4, where improvements relative to the QE can reach 1.5 times tighter constraints on A f and seven times lower effective lensing reconstruction noise.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results