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With the development of high-precision spectropolarimetry, a further roblem has emerged with wave plate devices in that they may suffer from multiple beam interference within their entry and exit faces The effect of this is to generate wavelength-dependent fringes for all the parameters k1 , k2 , k3 and An example of the expected fringe behaviours of the transmittances and phase delay of an achromatic quarter-wave plate are displayed in Figure 68 The presence of fringes in the immediate data reductions for the determination of the Stokes parameters has been highlighted by Tinbergen (1994) and discussed by Harries & Howarth (1996) and Donati, Catala, Wade, et al (1999) The more general problem associated with interference and polarization has been presented by Semel (2003) It may be noted that Donati, Catala, Wade, et al (1999) used achromatic wave plates made by Halle of Berlin but later found that the ripple problem was very much reduced for those constructed by Optique Jean Fichou of Paris In a spectropolarimeter designed by Matsuda, Ikeda, Akitaya, et al (2005), a superachromatic half-wave plate manufactured by the Astropribor Company in Ukraine, and constructed of ve polymethyl-methacrylate layers, was employed and the system appears to be little affected by fringes The origin of the fringe problems within wave plates, with possible strategies to alleviate their in uence in polarimetric practice, has been discussed by Clarke (2005) (see also Section 88) Wave plates constructed from natural crystals may have entry and exit faces which are not perfectly parallel Accordingly, on rotation, this can induce intolerable image wobble on the detector, or on the entrance slit of a spectrometer It is sometimes possible to redress the problem by reworking the faces to remove any wedge to an acceptable tolerance as was done by Schwarz & Guisard (1995) In some experimental arrangements, it is useful to employ a wave plate whose phase delay can be controlled For example, in telescope systems that employ a.

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So then, understanding that eventual consistency does not equate to the absence of consistency, the question becomes: How long is the eventual consistency window The time required for consistency is never a constant numberAll data is replicated across multiple data centers It happens over a fast network, and those data centers are in the same region, but it is still an operation across data centersAs with any distributed database, network and hardware failures can occur During normal operations, even under peak usage, eventual consistency times are usually under a second, but this is not guaranteedA faster alternative to waiting is using consistent reads, which are on average just as fast as normal reads but are slower or unavailable during outages The difficulty is that it is probably a mistake to design your application such that it works when consistency is reached in one second but fails otherwiseThe reason it may be a mistake is because this is the primary benefit of SimpleDBThis is the benefit achieved by the tradeoffs, and so this is the reason to use it: because it remains available to accept your writes in the midst of failure when consistency is not, for the moment, possibleWhen everything is going wrong and serious failures have not yet been rectified, you, and your users, still have access to your data; even if the writes are not immediately visible, they will not be lost and consistency will eventually be reachedTo write an app that fails when the consistency window grows past some arbitrary number of milliseconds, is to snatch defeat from the jaws of victory It is to trade down your consistency guarantee to achieve higher availability and then throw away the availability There is nothing wrong with making extensive use of consistent reads throughout an application If you produce an application that uses SimpleDB but is unable to maintain a, possibly degraded, level of service during a partial failure that causes consistent reads to fail, you may be missing one of SimpleDB s big benefits It is not necessarily easy to take advantage of this benefit, but it does not need to be hard eitherThe central question is what you will do when calls to GetAttributes and Select return stale valuesAlternatively, in the case of newly added data, what do you do when they don t return the items that you expect them to One thing that people commonly want to do is to check if the value is consistent In fact, sometimes there is a tendency to want to check every single value and make sure it is consistent before proceedingAlthough this is possible to do, it is highly impractical If your app can only aintain correctness when every value become consistent before proceeding, building it atop SimpleDB could be considered the creation of a software monument to wasted timeThere s nothing wrong with consistency, the issue is that SimpleDB alerts you when a consistent read cannot be guaranteed and enables you to proceed with eventual consistency instead If you are building an application that permanently requires strong consistency that is unable to tolerate eventual consistency, it might be better to save yourself the trouble and just use a relational database with strong consistencyThere are better ways to deal with the eventual consistency; there are ways to work with it rather than try to eliminate it.

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