1994
DOI: 10.2172/10182392
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Development of a gas-promoted oil agglomeration process. Technical progress report, April 1, 1994--June 30, 1994

Abstract: PURPOSEThe overall purpose of this research project is to carry out the preliminary laboratory-scale development of a gas-promoted, oil agglomeration process for cleaning coal using model mixing systems.

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Cited by 4 publications
(4 citation statements)
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“…Finally, the angular size of the survey is driven by the requirement that we probe a sufficiently large volume to detect massive clusters at z > 1. For a standard ΛCDM cosmology, one expects a (Wheelock et al 1994). The boxes denote individual FLAMEX pointings, with the extent of the full NDWFS field also displayed.…”
Section: Location and Field Geometrymentioning
confidence: 99%
“…Finally, the angular size of the survey is driven by the requirement that we probe a sufficiently large volume to detect massive clusters at z > 1. For a standard ΛCDM cosmology, one expects a (Wheelock et al 1994). The boxes denote individual FLAMEX pointings, with the extent of the full NDWFS field also displayed.…”
Section: Location and Field Geometrymentioning
confidence: 99%
“…This zero level is a very conservative estimate because the shadow region is surrounded by high levels of emission which are very likely to raise the foreground contribution above the level we use here. This lower limit also accounts for the MIPS 70 µm calibration error, 5% (Gordon et al 2007), and the IRAS extended source calibration error, which can be as large as 30% (Wheelock et al 1994).…”
Section: µM Profilementioning
confidence: 99%
“…The IRAS observation was designed to detect point sources, but not designed to make absolute photometry (Beichman et al 1988), leaving the surface brightness of diffuse emission with spatial scales larger than ∼ 5 ′ to be only relatively measured. It has been possible, however, to create large-area sky maps (the IRAS Sky Survey Atlas: ISSA; Wheelock et al 1994), by filtering out detector sensitivity drifts. An improvement to the efficacy of the IRAS diffuse emission data was made by combining absolute photometry data with lower spatial resolution from COBE/DIRBE observation (Boggess et al 1992;Hauser et al 1998), and by using an improved image destriping technique (Improved Reprocessing of the IRAS Survey: IRIS; Miville-Deschênes & Lagache 2005).…”
Section: Introductionmentioning
confidence: 99%