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There is another, quite different way to estimate the angular diameter of an object that emits energy at radio wavelengths: observing and measuring changes in intensity, called scintillations, that occur as the radio waves pass through turbulent ionized clouds of particles in space Everyone has noticed the twinkling of the stars, while the planets appear to shine almost without blinking The reason for this difference is that the planets have a much greater angular diameter than any star Small telescopes show the planets as disks, but even the nearest stars resolve only as points of light, even at high magnification Turbulence in the air, such as that produced on summer evenings as the warm land heats the atmosphere and causes convection currents, make a point of light seem to twinkle because the light rays are refracted more and then less, and then more again by parcels of air having variable density The charged subatomic particles of the solar wind, as they stream outward from the Sun, have a similar effect on radio waves coming from far away in space Other stars produce winds too, making interstellar space a turbulent sea of charged subatomic particles A source of radio waves with a small angular diameter therefore scintillates By observing quasars with a single radio telescope antenna to avoid diversity effect (averaging out of the strengths of radio signals as received at different locations), and by carefully recording the intensity of the waves reaching the antenna, it is possible to get an accurate idea of the angular size of a radio object Quasars always appear as small sources of radio energy, at most a few light-years in diameter Galaxies, in contrast, are many thousands of light-years across Other observed properties of the quasars, such as curvature in the spectral lines, have led astronomers to believe that they are small compared with galaxies, even though they emit fantastic amounts of energy.

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need to write some SQL specific to your database type to get your desired result, though with two caveats: Cognos is still likely to modify it before passing it to the database, which may increase efficiency; and restrictions mean that not every Select statement valid in your source database can be set to native SQL Your other option is Pass-Through SQL, which will be sent directly to the database as is, with no possibility of Cognos trying to optimize it, but you can write any SQL valid in your source database Our advice is to leave the SQL Type set at Cognos SQL unless you have a compelling reason to write database-specific SQL that is not valid in Cognos SQL If that is the case, try Native If that fails, then you probably have a bad SQL statement, so you might want to try running it through your source database tools outside the Cognos environment to show that it is not a Cognos problem Try Pass-Through only as a last resort As for the Generate setting, your options are Minimized, which is the default, and As View Leave this set to the default value of Minimized unless you have a compelling reason to change it Minimized tells Cognos to pull into the final query only the fields that are needed to satisfy the report So even if you have a data source query subject for the Product table written as Select * From PRODUCTS, if you report only on the PRODUCT_NAME, then the SQL passed to the database will be Select PRODUCT_NAME From PRODUCT rather than less efficiently selecting all columns The Minimized setting will always be at least as efficient as, and usually more efficient than, running As View You can choose the As View setting in those limited cases where executing the query as a view would return the proper set of resulting rows, whereas trying to run it Minimized might return extra rows that you do not want For instance, if a query subject combines.

This estimate of the gravity vector is a ected by accelerometer noise, accelerometer biases, and by vehicle acceleration Sensor noise and vehicle vibrations are expected to average out during the period of integration Sensor bias will not For a system that in nominally level during the initialization process, each milli-g of sensor bias contributes about 1 mrad of error to the initial attitude estimate1

The sizes of the quasars, as well as estimates of their energy output, have been determined according to the Hubble relation between red shifts and distances All quasars show significant red shifts in the absorption lines of

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is straightforward to show For example, by eqn (1014), if xa2 repred = sents the bias on the v-accelerometer (ie, the second component of ya ), then dx

columns from the PRODUCT_TYPE table and the PRODUCT table, and you have a new product type of Camper but no camper products have yet been introduced or assigned to it, you might not want to see Camper listed in your results If you run a report to list the PRODUCT_TYPES, minimized SQL will return Camper with all of the other types because the SQL will be minimized to be Select PRODUCT_TYPE from PRODUCT _TYPES However, if you run the same report with the query subject set to As View, the PRODUCT table will be included in the resulting SQL, which means the Camper product type will be dropped because there are no matching products of that type It s a rare occasion, if ever, that you need to do this, which is why you should leave the SQL set at Minimized in most cases

Denote the components of gb as [ 1 , g2 , g3 ] Using eqn (106), the g initial roll and pitch values can be computed as (T ) (T ) = atan2 ( 2 , g3 ) g = atan2 1 , g g2 + g3 2 2 (1014) (1015)

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