Browsing by Author "Alonso, David"
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- ItemImpact of Galactic dust non-Gaussianity on searches for B-modes from inflation(2024) Abril-Cabezas, Irene; Hervias-Caimapo, Carlos; von Hausegger, Sebastian; Sherwin, Blake D.; Alonso, DavidA key challenge in the search for primordial B-modes is the presence of polarized Galactic foregrounds, especially thermal dust emission. Power-spectrum-based analysis methods generally assume the foregrounds to be Gaussian random fields when constructing a likelihood and computing the covariance matrix. In this paper, we investigate how non-Gaussianity in the dust field instead affects CMB and foreground parameter inference in the context of inflationary B-mode searches, capturing this effect via modifications to the dust power-spectrum covariance matrix. For upcoming experiments such as the Simons Observatory, we find no dependence of the tensor-to-scalar ratio uncertainty sigma(r) on the degree of dust non-Gaussianity or the nature of the dust covariance matrix. We provide an explanation of this result, noting that when frequency decorrelation is negligible, dust in mid-frequency channels is cleaned using high-frequency data in a way that is independent of the spatial statistics of dust. We show that our results hold also for non-zero levels of frequency decorrelation that are compatible with existing data. We find, however, that neglecting the impact of dust non-Gaussianity in the covariance matrix can lead to inaccuracies in goodness-of-fit metrics. Care must thus be taken when using such metrics to test B-mode spectra and models, although we show that any such problems can be mitigated by using only cleaned spectrum combinations when computing goodness-of-fit statistics.
- ItemThe Atacama Cosmology Telescope: a measurement of the Cosmic Microwave Background power spectra at 98 and 150 GHz(2020) Choi, Steve K.; Hasselfield, Matthew; Ho, Shuay-Pwu Patty; Koopman, Brian; Lungu, Marius; Abitbol, Maximilian H.; Addison, Graeme E.; Ade, Peter A. R.; Aiola, Simone; Alonso, David; Amiri, Mandana; Amodeo, Stefania; Angile, Elio; Austermann, Jason E.; Baildon, Taylor; Battaglia, Nick; Beall, James A.; Bean, Rachel; Becker, Daniel T.; Bond, J. Richard; Bruno, Sarah Marie; Calabrese, Erminia; Calafut, Victoria; Campusano, Luis E.; Carrero, Felipe; Chesmore, Grace E.; Cho, Hsiao-mei; Clark, Susan E.; Cothard, Nicholas F.; Crichton, Devin; Crowley, Kevin T.; Darwish, Omar; Datta, Rahul; Denison, Edward, V; Devlin, Mark J.; Duell, Cody J.; Duff, Shannon M.; Duivenvoorden, Adriaan J.; Dunkley, Jo; Dunner, Rolando; Essinger-Hileman, Thomas; Fankhanel, Max; Ferraro, Simone; Fox, Anna E.; Fuzia, Brittany; Gallardo, Patricio A.; Gluscevic, Vera; Golec, Joseph E.; Grace, Emily; Gralla, Megan; Guan, Yilun; Hall, Kirsten; Halpern, Mark; Han, Dongwon; Hargrave, Peter; Henderson, Shawn; Hensley, Brandon; Hill, J. Colin; Hilton, Gene C.; Hilton, Matt; Hincks, Adam D.; Hlozek, Renee; Hubmayr, Johannes; Huffenberger, Kevin M.; Hughes, John P.; Infante, Leopoldo; Irwin, Kent; Jackson, Rebecca; Klein, Jeff; Knowles, Kenda; Kosowsky, Arthur; Lakey, Vincent; Li, Dale; Li, Yaqiong; Li, Zack; Lokken, Martine; Louis, Thibaut; MacInnis, Amanda; Madhavacheril, Mathew; Maldonado, Felipe; Mallaby-Kay, Maya; Marsden, Danica; Maurin, Loic; McMahon, Jeff; Menanteau, Felipe; Moodley, Kavilan; Morton, Tim; Naess, Sigurd; Namikawa, Toshiya; Nati, Federico; Newburgh, Laura; Nibarger, John P.; Nicola, Andrina; Niemack, Michael D.; Nolta, Michael R.; Orlowski-Sherer, John; Page, Lyman A.; Pappas, Christine G.; Partridge, Bruce; Phakathi, Phumlani; Prince, Heather; Puddu, Roberto; Qu, Frank J.; Rivera, Jesus; Robertson, Naomi; Rojas, Felipe; Salatino, Maria; Schaan, Emmanuel; Schillaci, Alessandro; Schmitt, Benjamin L.; Sehgal, Neelima; Sherwin, Blake D.; Sierra, Carlos; Sievers, Jon; Sifon, Cristobal; Sikhosana, Precious; Simon, Sara; Spergel, David N.; Staggs, Suzanne T.; Stevens, Jason; Storer, Emilie; Sunder, Dhaneshwar D.; Switzer, Eric R.; Thorne, Ben; Thornton, Robert; Trac, Hy; Treu, Jesse; Tucker, Carole; Vale, Leila R.; Van Engelen, Alexander; Van Lanen, Jeff; Vavagiakis, Eve M.; Wagoner, Kasey; Wang, Yuhan; Ward, Jonathan T.; Wollack, Edward J.; Xu, Zhilei; Zago, Fernando; Zhu, NingfengWe present the temperature and polarization angular power spectra of the CMB measured by the Atacama Cosmology Telescope (ACT) from 5400 deg(2) of the 2013-2016 survey, which covers >15000 deg(2) at 98 and 150 GHz. For this analysis we adopt a blinding strategy to help avoid confirmation bias and, related to this, show numerous checks for systematic error done before unblinding. Using the likelihood for the cosmological analysis we constrain secondary sources of anisotropy and foreground emission, and derive a "CMB-only" spectrum that extends to l = 4000. At large angular scales, foreground emission at 150 GHz is similar to 1% of TT and EE within our selected regions and consistent with that found by Planck. Using the same likelihood, we obtain the cosmological parameters for Lambda CDM for the ACT data alone with a prior on the optical depth of tau = 0.065 +/- 0.015. Lambda CDM is a good fit. The best-fit model has a reduced chi(2) of 1.07 (PTE = 0.07) with H-0 = 67.9 +/- 1.5 km/s/Mpc. We show that the lensing BB signal is consistent with Lambda CDM and limit the celestial EB polarization angle to psi(P) = 0.07 degrees +/- 0.09 degrees. We directly cross correlate ACT with Planck and observe generally good agreement but with some discrepancies in TE. All data on which this analysis is based will be publicly released.
- ItemThe Atacama Cosmology Telescope: DR4 maps and cosmological parameters(2020) Aiola, Simone; Calabrese, Erminia; Maurin, Loic; Naess, Sigurd; Schmitt, Benjamin L.; Abitbol, Maximilian H.; Addison, Graeme E.; Ade, Peter A. R.; Alonso, David; Amiri, Mandana; Amodeo, Stefania; Angile, Elio; Austermann, Jason E.; Baildon, Taylor; Battaglia, Nick; Beall, James A.; Bean, Rachel; Becker, Daniel T.; Bond, J. Richard; Bruno, Sarah Marie; Calafut, Victoria; Campusano, Luis E.; Carrero, Felipe; Chesmore, Grace E.; Cho, Hsiao-mei; Choi, Steve K.; Clark, Susan E.; Cothard, Nicholas F.; Crichton, Devin; Crowley, Kevin T.; Darwish, Omar; Datta, Rahul; Denison, Edward, V; Devlin, Mark J.; Duell, Cody J.; Duff, Shannon M.; Duivenvoorden, Adriaan J.; Dunkley, Jo; Dunner, Rolando; Essinger-Hileman, Thomas; Fankhanel, Max; Ferraro, Simone; Fox, Anna E.; Fuzia, Brittany; Gallardo, Patricio A.; Gluscevic, Vera; Golec, Joseph E.; Grace, Emily; Gralla, Megan; Guan, Yilun; Hall, Kirsten; Halpern, Mark; Han, Dongwon; Hargrave, Peter; Hasselfield, Matthew; Helton, Jakob M.; Henderson, Shawn; Hensley, Brandon; Hill, J. Colin; Hilton, Gene C.; Hilton, Matt; Hincks, Adam D.; Hlozek, Renee; Ho, Shuay-Pwu Patty; Hubmayr, Johannes; Huffenberger, Kevin M.; Hughes, John P.; Infante, Leopoldo; Irwin, Kent; Jackson, Rebecca; Klein, Jeff; Knowles, Kenda; Koopman, Brian; Kosowsky, Arthur; Lakey, Vincent; Li, Dale; Li, Yaqiong; Li, Zack; Lokken, Martine; Louis, Thibaut; Lungu, Marius; MacInnis, Amanda; Madhavacheril, Mathew; Maldonado, Felipe; Mallaby-Kay, Maya; Marsden, Danica; McMahon, Jeff; Menanteau, Felipe; Moodley, Kavilan; Morton, Tim; Namikawa, Toshiya; Nati, Federico; Newburgh, Laura; Nibarger, John P.; Nicola, Andrina; Niemack, Michael D.; Nolta, Michael R.; Orlowski-Sherer, John; Page, Lyman A.; Pappas, Christine G.; Partridge, Bruce; Phakathi, Phumlani; Pisano, Giampaolo; Prince, Heather; Puddu, Roberto; Qu, Frank J.; Rivera, Jesus; Robertson, Naomi; Rojas, Felipe; Salatino, Maria; Schaan, Emmanuel; Schillaci, Alessandro; Sehgal, Neelima; Sherwin, Blake D.; Sierra, Carlos; Sievers, Jon; Sifon, Cristobal; Sikhosana, Precious; Simon, Sara; Spergel, David N.; Staggs, Suzanne T.; Stevens, Jason; Storer, Emilie; Sunder, Dhaneshwar D.; Switzer, Eric R.; Thorne, Ben; Thornton, Robert; Hy Trac; Treu, Jesse; Tucker, Carole; Vale, Leila R.; Van Engelen, Alexander; Van Lanen, Jeff; Vavagiakis, Eve M.; Wagoner, Kasey; Wang, Yuhan; Ward, Jonathan T.; Wollack, Edward J.; Xu, Zhilei; Zago, Fernando; Zhu, NingfengWe present new arcminute-resolution maps of the Cosmic Microwave Background temperature and polarization anisotropy from the Atacama Cosmology Telescope, using data taken from 2013-2016 at 98 and 150 GHz. The maps cover more than 17,000 deg(2), the deepest 600 deg(2) with noise levels below 10 mu K-arcmin. We use the power spectrum derived from almost 6,000 deg(2) of these maps to constrain cosmology. The ACT data enable a measurement of the angular scale of features in both the divergence-like polarization and the temperature anisotropy, tracing both the velocity and density at last-scattering. From these one can derive the distance to the last-scattering surface and thus infer the local expansion rate, H-0. By combining ACT data with large-scale information from WMAP we measure H-0 = 67.6 +/- 1.1 km/s/Mpc, at 68% confidence, in excellent agreement with the independently-measured Planck satellite estimate (from ACT alone we find H-0 = 67.9 +/- 1.5 km/s/Mpc). The Lambda CDM model provides a good fit to the ACT data, and we find no evidence for deviations: both the spatial curvature, and the departure from the standard lensing signal in the spectrum, are zero to within 1 sigma; the number of relativistic species, the primordial Helium fraction, and the running of the spectral index are consistent with Lambda CDM predictions to within 1.5-2.2 sigma. We compare ACT, WMAP, and Planck at the parameter level and find good consistency; we investigate how the constraints on the correlated spectral index and baryon density parameters readjust when adding CMB large-scale information that ACT does not measure. The DR4 products presented here will be publicly released on the NASA Legacy Archive for Microwave Background Data Analysis.
- ItemThe LSST DESC DC2 Simulated Sky Survey(2021) Abolfathi, Bela; Alonso, David; Armstrong, Robert; Aubourg, Eric; Awan, Humna; Babuji, Yadu N.; Bauer, Franz Erik; Bean, Rachel; Beckett, George; Biswas, Rahul; Bogart, Joanne R.; Boutigny, Dominique; Chard, Kyle; Chiang, James; Claver, Chuck F.; Cohen-Tanugi, Johann; Combet, Celine; Connolly, Andrew J.; Daniel, Scott F.; Digel, Seth W.; Drlica-Wagner, Alex; Dubois, Richard; Gangler, Emmanuel; Gawiser, Eric; Glanzman, Thomas; Gris, Phillipe; Habib, Salman; Hearin, Andrew P.; Heitmann, Katrin; Hernandez, Fabio; Hlozek, Renee; Hollowed, Joseph; Ishak, Mustapha; Ivezic, Zeljko; Jarvis, Mike; Jha, Saurabh W.; Kahn, Steven M.; Kalmbach, J. Bryce; Kelly, Heather M.; Kovacs, Eve; Korytov, Danila; Krughoff, K. Simon; Lage, Craig S.; Lanusse, Francois; Larsen, Patricia; Le Guillou, Laurent; Li, Nan; Longley, Emily Phillips; Lupton, Robert H.; Mandelbaum, Rachel; Mao, Yao-Yuan; Marshall, Phil; Meyers, Joshua E.; Moniez, Marc; Morrison, Christopher B.; Nomerotski, Andrei; O'Connor, Paul; Park, HyeYun; Park, Ji Won; Peloton, Julien; Perrefort, Daniel; Perry, James; Plaszczynski, Stephane; Pope, Adrian; Rasmussen, Andrew; Reil, Kevin; Roodman, Aaron J.; Rykoff, Eli S.; Sanchez, F. Javier; Schmidt, Samuel J.; Scolnic, Daniel; Stubbs, Christopher W.; Tyson, J. Anthony; Uram, Thomas D.; Villarreal, Antonio; Walter, Christopher W.; Wiesner, Matthew P.; Wood-Vasey, W. Michael; Zuntz, JoeWe describe the simulated sky survey underlying the second data challenge (DC2) carried out in preparation for analysis of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) by the LSST Dark Energy Science Collaboration (LSST DESC). Significant connections across multiple science domains will be a hallmark of LSST; the DC2 program represents a unique modeling effort that stresses this interconnectivity in a way that has not been attempted before. This effort encompasses a full end-to-end approach: starting from a large N-body simulation, through setting up LSST-like observations including realistic cadences, through image simulations, and finally processing with Rubin's LSST Science Pipelines. This last step ensures that we generate data products resembling those to be delivered by the Rubin Observatory as closely as is currently possible. The simulated DC2 sky survey covers six optical bands in a wide-fast-deep area of approximately 300 deg(2), as well as a deep drilling field of approximately 1 deg(2). We simulate 5 yr of the planned 10 yr survey. The DC2 sky survey has multiple purposes. First, the LSST DESC working groups can use the data set to develop a range of DESC analysis pipelines to prepare for the advent of actual data. Second, it serves as a realistic test bed for the image processing software under development for LSST by the Rubin Observatory. In particular, simulated data provide a controlled way to investigate certain image-level systematic effects. Finally, the DC2 sky survey enables the exploration of new scientific ideas in both static and time domain cosmology.
- ItemThe Simons Observatory: Beam Characterization for the Small Aperture Telescopes(2024) Dachlythra, Nadia; Duivenvoorden, Adriaan J.; Gudmundsson, Jon E.; Hasselfield, Matthew; Coppi, Gabriele; Adler, Alexandre E.; Alonso, David; Azzoni, Susanna; Chesmore, Grace E.; Fabbian, Giulio; Ganga, Ken; Gerras, Remington G.; Jaffe, Andrew H.; Johnson, Bradley R.; Keating, Brian; Keskitalo, Reijo; Kisner, Theodore S.; Krachmalnicoff, Nicoletta; Lungu, Marius; Matsuda, Frederick; Naess, Sigurd; Page, Lyman; Puddu, Roberto; Puglisi, Giuseppe; Simon, Sara M.; Teply, Grant; Tsan, Tran; Wollack, Edward J.; Wolz, Kevin; Xu, ZhileiWe use time-domain simulations of Jupiter observations to test and develop a beam reconstruction pipeline for the Simons Observatory Small Aperture Telescopes. The method relies on a mapmaker that estimates and subtracts correlated atmospheric noise and a beam fitting code designed to compensate for the bias caused by the mapmaker. We test our reconstruction performance for four different frequency bands against various algorithmic parameters, atmospheric conditions, and input beams. We additionally show the reconstruction quality as a function of the number of available observations and investigate how different calibration strategies affect the beam uncertainty. For all of the cases considered, we find good agreement between the fitted results and the input beam model within an similar to 1.5% error for a multipole range l = 30-700 and an similar to 0.5% error for a multipole range l = 50-200. We conclude by using a harmonic-domain component separation algorithm to verify that the beam reconstruction errors and biases observed in our analysis do not significantly bias the Simons Observatory r-measurement
- ItemThe Simons Observatory: Combining cross-spectral foreground cleaning with multitracer B- mode delensing for improved constraints on inflation(2024) Hertig, Emilie; Wolz, Kevin; Namikawa, Toshiya; Lizancos, Anton Baleato; Azzoni, Susanna; Abril-Cabezas, Irene; Alonso, David; Baccigalupi, Carlo; Calabrese, Erminia; Challinor, Anthony; Errard, Josquin; Fabbian, Giulio; Hervias-Caimapo, Carlos; Jost, Baptiste; Krachmalnicoff, Nicoletta; Lonappan, Anto I.; Morshed, Magdy; Pagano, Luca; Sherwin, BlakeThe Simons Observatory (SO), due to start full science operations in early 2025, aims to set tight constraints on inflationary physics by inferring the tensor-to-scalar ratio r from measurements of cosmic microwave background (CMB) polarization B-modes. Its nominal design including three small-aperture telescopes (SATs) targets a precision sigma(r ( r 1 / 4 0) ) <= 0.003 without delensing. Achieving this goal and further reducing uncertainties requires a thorough understanding and mitigation of other large-scale B-mode sources such as Galactic foregrounds and weak gravitational lensing. We present an analysis pipeline aiming to estimate r by including delensing within a cross-spectral likelihood, and demonstrate it for the first time on SO-like simulations accounting for various levels of foreground complexity, inhomogeneous noise and partial sky coverage. As introduced in an earlier SO delensing paper, lensing Bmodes are synthesized using internal CMB lensing reconstructions as well as Planck-like cosmic infrared background maps and LSST-like galaxy density maps. We then extend SO's power-spectrum-based foreground- cleaning algorithm to include all auto- and cross-spectra between the lensing template and the SAT Bmodes in the likelihood function. This allows us to constrain r and the parameters of our foreground model simultaneously. Within this framework, we demonstrate the equivalence of map-based and cross-spectral delensing and use it to motivate an optimized pixel-weighting scheme for power spectrum estimation. We start by validating our pipeline in the simplistic case of uniform foreground spectral energy distributions. In the absence of primordial Bmodes, we find that the 16 statistical uncertainty on r, 6(r), ( r ) , decreases by 37% as a result of delensing. Tensor modes at the level of r 1 / 4 0.01 are successfully detected by our pipeline. Even when using more realistic foreground models including spatial variations in the dust and synchrotron spectral properties, we obtain unbiased estimates of r both with and without delensing by employing the moment-expansion method. In this case, uncertainties are increased due to the higher number of model parameters, and delensing-related improvements range between 27% and 31%. These results constitute the first realistic assessment of the delensing performance at SO's nominal sensitivity level.
- ItemThe Simons Observatory: Pipeline comparison and validation for large-scale B-modes(2024) Wolz, Kevin; Azzoni, Susanna; Hervias-Caimapo, Carlos; Errard, Josquin; Krachmalnicoff, Nicoletta; Alonso, David; Baccigalupi, Carlo; Baleato Lizancos, Anton; Brown, Michael L.; Calabrese, Erminia; Chluba, Jens; Dunkley, Jo; Fabbian, Giulio; Galitzki, Nicholas; Jost, Baptiste; Morshed, Magdy; Nati, FedericoContext. The upcoming Simons Observatory Small Aperture Telescopes aim at achieving a constraint on the primordial tensor-to-scalar ratio r at the level of sigma(r = 0)less than or similar to 0.003, observing the polarized CMB in the presence of partial sky coverage, cosmic variance, inhomogeneous non-white noise, and Galactic foregrounds. Aims. We present three different analysis pipelines able to constrain r given the latest available instrument performance, and compare their predictions on a set of sky simulations that allow us to explore a number of Galactic foreground models and elements of instrumental noise, relevant for the Simons Observatory. Methods. The three pipelines employ different combinations of parametric and non-parametric component separation at the map and power spectrum levels, and use B-mode purification to estimate the CMB B-mode power spectrum. We applied them to a common set of simulated realistic frequency maps, and compared and validated them with focus on their ability to extract robust constraints on the tensor-to-scalar ratio r. We evaluated their performance in terms of bias and statistical uncertainty on this parameter. Results. In most of the scenarios the three methodologies achieve similar performance. Nevertheless, several simulations with complex foreground signals lead to a > 2 sigma bias on r if analyzed with the default versions of these pipelines, highlighting the need for more sophisticated pipeline components that marginalize over foreground residuals. We show two such extensions, using power-spectrum-based and map-based methods, that are able to fully reduce the bias on r below the statistical uncertainties in all foreground models explored, at a moderate cost in terms of sigma(r).