The Experts below are selected from a list of 448332 Experts worldwide ranked by ideXlab platform
Calabrese Erminia - One of the best experts on this subject based on the ideXlab platform.
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The Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect
2020Co-Authors: Madhavacheril, Mathew S., Hill J. Colin, Næss Sigurd, Addison, Graeme E., Aiola Simone, Baildon Taylor, Battaglia Nicholas, Bean Rachel, Bond J. Richard, Calabrese ErminiaAbstract:Optimal analyses of many signals in the cosmic microwave background (CMB) require map-Level extraction of individual Components in the microwave sky, rather than measurements at the power spectrum Level alone. To date, nearly all map-Level Component separation in CMB analyses has been performed exclusively using satellite data. In this paper, we implement a Component separation method based on the internal linear combination (ILC) approach which we have designed to optimally account for the anisotropic noise (in the 2D Fourier domain) often found in ground-based CMB experiments. Using this method, we combine multi-frequency data from the Planck satellite and the Atacama Cosmology Telescope Polarimeter (ACTPol) to construct the first wide-area, arcminute-resolution Component-separated maps (covering approximately 2100 sq. deg.) of the CMB temperature anisotropy and the thermal Sunyaev-Zel'dovich (tSZ) effect sourced by the inverse-Compton scattering of CMB photons off hot, ionized gas. Our ILC pipeline allows for explicit deprojection of various contaminating signals, including a modified blackbody approximation of the cosmic infrared background (CIB) spectral energy distribution. The cleaned CMB maps will be a useful resource for CMB lensing reconstruction, kinematic SZ cross-correlations, and primordial non-Gaussianity studies. The tSZ maps will be used to study the pressure profiles of galaxies, groups, and clusters through cross-correlations with halo catalogs, with dust contamination controlled via CIB deprojection. The data products described in this paper will be made available on LAMBDA
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Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel’dovich effect
2020Co-Authors: Madhavacheril, Mathew S., Hill J. Colin, Næss Sigurd, Addison, Graeme E., Aiola Simone, Baildon Taylor, Battaglia Nicholas, Bean Rachel, Bond J. Richard, Calabrese ErminiaAbstract:Optimal analyses of many signals in the cosmic microwave background (CMB) require map-Level extraction of individual Components in the microwave sky, rather than measurements at the power spectrum Level alone. To date, nearly all map-Level Component separation in CMB analyses has been performed exclusively using satellite data. In this paper, we implement a Component separation method based on the internal linear combination (ILC) approach which we have designed to optimally account for the anisotropic noise (in the 2D Fourier domain) often found in ground-based CMB experiments. Using this method, we combine multifrequency data from the Planck satellite and the Atacama Cosmology Telescope Polarimeter (ACTPol) to construct the first wide-area (≈2100 sq. deg.), arcminute-resolution Component-separated maps of the CMB temperature anisotropy and the thermal Sunyaev-Zel’dovich (tSZ) effect sourced by the inverse-Compton scattering of CMB photons off hot, ionized gas. Our ILC pipeline allows for explicit deprojection of various contaminating signals, including a modified blackbody approximation of the cosmic infrared background (CIB) spectral energy distribution. The cleaned CMB maps will be a useful resource for CMB lensing reconstruction, kinematic SZ cross-correlations, and primordial non-Gaussianity studies. The tSZ maps will be used to study the pressure profiles of galaxies, groups, and clusters through cross-correlations with halo catalogs, with dust contamination controlled via CIB deprojection. The data products described in this paper are available on LAMBDA
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The Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect
2020Co-Authors: Madhavacheril, Mathew S., Hill J. Colin, Næss Sigurd, Addison, Graeme E., Aiola Simone, Baildon Taylor, Battaglia Nicholas, Bean Rachel, Bond J. Richard, Calabrese ErminiaAbstract:Optimal analyses of many signals in the cosmic microwave background (CMB) require map-Level extraction of individual Components in the microwave sky, rather than measurements at the power spectrum Level alone. To date, nearly all map-Level Component separation in CMB analyses has been performed exclusively using satellite data. In this paper, we implement a Component separation method based on the internal linear combination (ILC) approach which we have designed to optimally account for the anisotropic noise (in the 2D Fourier domain) often found in ground-based CMB experiments. Using this method, we combine multi-frequency data from the Planck satellite and the Atacama Cosmology Telescope Polarimeter (ACTPol) to construct the first wide-area, arcminute-resolution Component-separated maps (covering approximately 2100 sq. deg.) of the CMB temperature anisotropy and the thermal Sunyaev-Zel'dovich (tSZ) effect sourced by the inverse-Compton scattering of CMB photons off hot, ionized gas. Our ILC pipeline allows for explicit deprojection of various contaminating signals, including a modified blackbody approximation of the cosmic infrared background (CIB) spectral energy distribution. The cleaned CMB maps will be a useful resource for CMB lensing reconstruction, kinematic SZ cross-correlations, and primordial non-Gaussianity studies. The tSZ maps will be used to study the pressure profiles of galaxies, groups, and clusters through cross-correlations with halo catalogs, with dust contamination controlled via CIB deprojection. The data products described in this paper are available on LAMBDA.Comment: 24 pages, 11 figures, matches version accepted by PRD. Data products are available on LAMBDA at https://lambda.gsfc.nasa.gov/product/act/act_dr4_derived_maps_get.cf
Cathleen M Moore - One of the best experts on this subject based on the ideXlab platform.
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when the target becomes the mask using apparent motion to isolate the object Level Component of object substitution masking
2003Co-Authors: Alejandro Lleras, Cathleen M MooreAbstract:J. T. Enns and V. Di Lollo (1997) discovered a new form of visual masking that they labeled object substitution masking (OSM). OSM occurs when 4 dots, presented around a target, trail in the display after target offset. The present study showed that the physical presence of the masking dots after target offset is not necessary for OSM. Instead, the continued presence of a changing high-Level representation associated with the target suffices to yield OSM. Apparent motion was used to define such representation. In these experiments, the initial display offset and was followed by a 2nd display where masks appeared at new locations. Only when the spatiotemporal properties of the stimuli on the 2nd display supported the perception of the target moving and turning into the mask was OSM observed.
Xun Xiao - One of the best experts on this subject based on the ideXlab platform.
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modelling infant failure rate of electromechanical products with multilayered quality variations from manufacturing process
2016Co-Authors: Linbo Wang, Xun XiaoAbstract:The optimisation of product infant failure rate is the most important and difficult task for continuous improvement in manufacturing; how to model the infant failure rate promptly and accurately of the complex electromechanical product in manufacturing is always a dilemma for manufacturers. Traditional methods of reliability analysis for the produced product usually rely on limited test data or field failures, the valuable information of quality variations from the manufacturing process has not been fully utilised. In this paper, a multilayered model structured by ‘part-Level, Component-Level, system-Level’ is presented to model the reliability in the form of infant failure rate by quantifying holistic quality variations from manufacturing process for electromechanical products. The mechanism through which the multilayered quality variations affect the infant failure rate is modelled analytically with a positive correlation structure. Furthermore, an integrated failure rate index is derived to model the r...
Raul Medina - One of the best experts on this subject based on the ideXlab platform.
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a high resolution hindcast of the meteorological sea Level Component for southern europe the gos dataset
2014Co-Authors: Alba Cid, Sonia Castanedo, Ana J Abascal, Melisa Menendez, Raul MedinaAbstract:Two sets of 62-year (1948–2009) and 21-year (1989–2009) high-resolution hindcasts of the meteorological sea Level Component have been developed for Southern Europe using the Regional Ocean Model System (ROMS) of Rutgers University. These new databases, named GOS 1.1 and GOS 2.1, are a valuable tool for a wide variety of studies, such as those related to a better understanding of sea Level variability, flooding risk and coastal engineering studies. The model domain encloses Southern Europe, including the Mediterranean Sea and the Atlantic coast, with a horizontal resolution of 1/8° (~14 km). In order to study the effect of the atmospheric forcing resolution, ROMS is driven with two different regional atmospheric forcings: SeaWind I (30 km of horizontal resolution) and SeaWind II (15 km of horizontal resolution). Both are the result of a dynamical downscaling from global atmospheric reanalysis: NCEP global reanalysis and ERA-Interim global reanalysis, respectively. As a result, two surge data sets are obtained: GOS 1.1 (forced with SeaWind I) and GOS 2.1 (forced with SeaWind II). Surge elevations calculated by ROMS are compared with in situ measurements from tide gauges in coastal areas and with open ocean satellite observations. The validation procedure, testing outcomes from GOS 1.1 and GOS 2.1 against observations, shows the capability of the model to simulate accurately the sea Level variation induced by the meteorological forcing. A description of the surge in terms of seasonality and long term trends is also made. The climate variability analysis reveals clear seasonal patterns in the Mediterranean Sea basins. A long-term negative trend for the period 1948–2009 is found, whilst positive trends are computed for the last 20 years (GOS 2.1).
Linbo Wang - One of the best experts on this subject based on the ideXlab platform.
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modelling infant failure rate of electromechanical products with multilayered quality variations from manufacturing process
2016Co-Authors: Linbo Wang, Xun XiaoAbstract:The optimisation of product infant failure rate is the most important and difficult task for continuous improvement in manufacturing; how to model the infant failure rate promptly and accurately of the complex electromechanical product in manufacturing is always a dilemma for manufacturers. Traditional methods of reliability analysis for the produced product usually rely on limited test data or field failures, the valuable information of quality variations from the manufacturing process has not been fully utilised. In this paper, a multilayered model structured by ‘part-Level, Component-Level, system-Level’ is presented to model the reliability in the form of infant failure rate by quantifying holistic quality variations from manufacturing process for electromechanical products. The mechanism through which the multilayered quality variations affect the infant failure rate is modelled analytically with a positive correlation structure. Furthermore, an integrated failure rate index is derived to model the r...
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research on the structural model of quality variations in manufacturing and its impact on product infant failure rate
2015Co-Authors: Linbo WangAbstract:Quality variations in manufacturing are the root causes for product high infant failure rate. A structural model of quality variations in manufacturing composed of part-Level, Component-Level and system-Level is put forward firstly. Then the bi-variant Gumbel Copula for positive correlation quantification is tailored to obtain the correlation dependence of the three Levelled variations, and the impact of the structural but correlated quality variations on product infant failure rate is conducted systematically under Weibull distribution. Finally, a case study is carried out to verify the proposed method.