Genetic Programming In The Simulation of Frp-To-Concrete Patch-Ancho

Question: Talk about the Genetic Programming In The Simulation of Frp-To-Concrete Patch-Anchored Joints. Answer: General The title of the thesis says, Genetic programming in the recreation of frp-to-solid fix moored joints while the theoretical peruses that the paper is about the new dock quality model utilizing hereditary programming (Chowdhury Islam, 2015). Thus, this is the initial step-back for the thesis where the peruser makes certain to get confounded. For the accommodation of perusers there is a decent gracefully of headings and sub-headings which appropriately signify the motivation behind the examination and a concise thought of the substance that is to tail it. Regardless, they could have been all the more suitably utilized and furthermore ought to be made progressively pertinent and succinct (Kalfat et.al. 2016). The hypotheses and results expressed in the thesis have been appropriately upheld by utilizing bona fide realities and information and different investigates completed by prestigious analysts. All things considered, the entire thesis with a couple of exemptions can be supposed to b e a really decent one with significant focuses. Conceptual The motivation behind the examination study has been unmistakably portrayed by the writer in the abstract.The reason for the investigation isto utilize accessible exploratory information on fix secured joints to build up another dock quality model utilizing hereditary programming.Through the theoretical the perusers are getting a reasonable and brief thought regarding the thesis (Hehl, Valle Bai, 2009). Despite the fact that the advantage of the new model has been characterized here however the procedures and methods utilized for the examination have not been informed on.However, the presentation adequately gives an outline about future exploration to be completed in this field. Besides, the presentation doesn't plainly express the diagram for the model development.Additionally, the presentation doesn't give any thought regarding the end for example in the event that the examination was effective or not and in the event that it filled the need (Kalfat Al-Mahaidi, 2014). First Chapter The presentation of the part was completely inadequate since the creator didn't clarify the points and destinations and speculation of the examination clearly.The first section basically focuses on the foundation data alongside the synopsis of the trial that has been done on theme for example the fix secured joints. Be that as it may, the section neglects to expound the foundation ideas just as the data with respect to the premise of the trial (Kara, 2011). Very little exertion is to be put by the perusers to comprehend the fundamental motivation behind the exploration study and the way taken by the analysts so as to finish the examination has been unmistakably expounded in the rundown (Kalfat et.al. 2016). The primary part ojnly gives a concise clarification of the problem.The reason for the examination isn't unmistakably characterized out of sight and the method of reasoning since the creator has expressed that extremely restricted informational collections were utilized to direct the exploration and further work is required in such manner. The model requires to be adjusted to discover the quality of the saturant glue, which impacts the disappointment method of the stay alongside the general quality accomplished. This shows the reason for completing the examination was halfway fruitless. Despite the fact that the scientists have given legitimate clarification about the different autonomous and the reliant factors and built up an appropriate relationship so as to achieve the outcomes, they have neglected to set up appropriate exploration inquiries before completing the examination movement (Lee, 2014). So as to comprehend the principle motivation behind the examination study very little of an exertion is required and the rundown of the exploration concentrate unmistakably depicts the way that has been taken by the specialists so as to do the examination study. The main sections needs the satisfactory depiction of the foundation to the difficult which lead to t he examination . It just gives a substance of the issue. The back ground and the reason doesn't obviously characterize the motivation behind the test as the essayist has himself said that the exploration work was done in a restricted informational collections. They have basically centered just around the improvement of the model. Since no unmistakable speculation is given by the writers in the paper consequently it is beyond the realm of imagination to expect to test the theory of the exploration topic.The scope and the impediments of the examination study have been given in the principal section which encourages the perusers to comprehend the examination qualityand accordingly, it very well may be expressed that the essayists have given an honestevaluation of their exploration study (Mansouri Kisi, 2015). The constraints of the exploration study were pretty much applicable and in accordance with the end. The primary part contains the outline of the all out thesis and the way follow ed to accomplish the ideal outcome. Despite the fact that the targets are not illustrated, the general advances related with the exploration have been unmistakably explained and thusly, less difficulties are engaged with inferring the destinations of the examination study. Writing Review Writing survey is the base of the examination which decide the profundity of the investigation led by the exploration and with the assistance of the acquired data in writing audit the solid in regards to the examination is created. Different inquiries have been brought up in the writing survey segment and the writers didn't suitably reference a portion of the spots (Naderpour, Kheyroddin Amiri, 2010). The writing audit isn't limited to explicit segment and is spread to the whole thesis as different other exploration works has been cited and refered to in the resulting segments of the examination study. The writing survey is however pertinent to the extension and point of the exposition. Subsequently, there is an away from of additional in messaging is watched (Kalfat et.al. 2016). The whole paper depended on only thirty references. Since there are various works which has been done either on a similar point or on the partnered subjects in this way it is significant that the creators o ught to have utilized all the more academic works in their exploration concentrate in order to acquire understanding into the examination works that has been completed on the theme. Further the vast majority of the insightful work that has been utilized in the thesis is exceptionally old for the most part during the 1990s. Furthermore, the vast majority of the references that have been utilized depend on the diaries and not very many references are given from the sites and different sources (Nasrollahzadeh Basiri, 2014). The writing audit doesn't identify with all the subjects of the exploration study. Further there are no huge worth decisions of the writing nor have the discoveries of the writing audit of the various works been unmistakably expressed in this area. Procedure Unmistakably the embraced philosophy is exceptionally immense and it would be very diffiuct to follow while executing specific investigation. It would have been exceptional if the scientists have portrayed appropriately the techniques. The degree of the information gathered is constrained yet it served the extent of the exploration study (Tong Chen, 2014). The greater part of the information that has been gathered have been from the auxiliary sources that is the majority of the datasets were gathered from the distributed informational collections. Along these lines the majority of the information were gathered from the auxiliary sources and there was either nill or barely any information utilized in the exploration study which were gathered from the essential information sources. The example size of the information is adequate to make a noteworthy determination. The philosophy that has been embraced is legitimate and proper for achieving the reason behind completing this exploration movement. There were no noteworthy elective philosophies considered in the exploration concentrate as the examination study was altogether founded on the use of the hereditary programming in the improvement of model frp-to-solid fix tied down joints (WANG, ZHOU LI, 2008). The decision for choosing a specific strategy for research was defended already and the instruments that has been utilized in the exploration study is fitting for the examination study (Kalfat et.al. 2016). There were different proof which shows that the instruments were adjusted, for example, Numerical limited component recreations were directed which had the option to catch the pre-pinnacle and post-top reaction of the fix tied down joints to an elevated level of precision, when aligned with the numerical information. Examination of result The result of the examination study have been unmistakably outlined by the scientist and they are as per the following- The normal total blunders (AAEs) for each model obviously show that the GP model is prevalent in precision, bringing about an AAE estimation of 6.7% contrasted and 11.04% for the SE model. The greatest blunder displayed by the two models was _19.6% and _35.7% for the GP and SE models (Yin Wee, 2014). Parametric examinations on both SE and GP models featured comparable patterns in parametric conduct between the two models (Kalfat al. 2016). Be that as it may, the two conditions ought to be utilized inside the scope of parametric qualities used to infer the articulations. The major create targets have been plainly accomplished by the analyst and with the assistance of the factual procedure the outcomes were unmistakably represented. Graphical portrayal of information helps in expanding the exactness and accuracy of the information assortment process with in goes reflected to the result (Zhang, Sun Fei, 2011). End and suggestion The investigation gives an unmistakable and exact thought with respect to the appraisal of novel model a for FRP fix stay quality expectation dependent on a conventional programming (GP) demonstrating approach. It prescribed to utilize wide scope of informational indexes to build up an increasingly all encompassing model. Subsequently, the future extent of examination is available. References Kalfat, R. Nazari, A. Al-Mahaidi, R. Sanjayan, J. (2016), Genetic programming in the reenactment of Frp-to-solid fix secured joints, Journal of Composite Structures, Elsevier, 305312. Chowdhury, M. what's more, Islam, M. (2015). Shear Strength

Tourism Industry and Hospitality Operations Management

Question: Examine about the Tourism Industry and Hospitality Operations Management. Answer: Presentation: Gold coast is influenced decidedly because of the brilliant eventual fate of the travel industry. In any case, the desire for the visitors will be from Australia and mishaps like it occurred at the fantasy world will influence the travel industry of Australia. In addition, the utilization of the land involved by the aboriginals ought to be decreased, as it will influence nature just as the social structure of the nation. Current circumstance The present circumstance of the travel industry of Australia recommends that it can draw an immense number of vacationers from the worldwide areas. The amusement parks are the absolute best attractions for the individuals who are coming to Australia from the global nations. Now and again, the individuals who are setting up the subject work hampers the aboriginals who are remaining in those areas as the amusement parks are for the most part set up in rustic areas. The mishap that has happened in the gold coast amusement park is redundancy of a portion of the significant mishaps that has occurred in Australia (sbs.com.au 2016). The Thunder River Rapids ride has been destroyed in the gold coast amusement park. The wellbeing issues with respect to the ride have raised worries as the ride has breezed through the security assessment a month prior to the mishap has happened. What's more, the more charges with respect to the wellbeing issues of different rides in the amusement park (the Guardian 2016). Effect of the occurrence at Dream world The travel industry is one of the significant wellsprings of salary for Australia and the amusement parks like the gold coast are a portion of the significant attractions. The effect of the mishap can have different negative effects dream world. Some of them are: Negative exposure Dream world will win negative exposure after the episode. The recreation center has been working since the previous 35 years. Also, the rides have breezed through the wellbeing assessment a month prior. The individuals who are visiting the recreation center will presently fear the wellbeing tests as the rides can't be called safe after the test (Kostopoulos, Gounaris and Rizomyliotis 2013). Negative impact of the travel industry The mishap at dream world will biggerly affect the travel industry overall. The mishaps hugy affect the brains of the individuals. Inevitably, the income that travel industry will diminish as the vacationer won't have a sense of security visiting the amusement parks (Vyravene and Rabbanee 2016). References Australian Government Productivity Commission, 2015.Australias International Tourism Industry Productivity Commission Research Paper. first ed. [ebook] Available at: https://www.pc.gov.au/look into/finished/universal the travel industry/global tourism.pdf [Accessed 8 Jan. 2017]. Becken, S., McLennan, C. also, Wardle, C. 2015.Gold Coast Tourism Industry Report. first ed. [ebook] Available at: https://www.griffith.edu.au/__data/resources/pdf_file/0007/735325/_Final-blended report-for-printing-20150730.pdf [Accessed 8 Jan. 2017]. Division of Foreign Affairs and Trade, 2016.Free Trade Agreements. [online] Department of Foreign Affairs and Trade. Accessible at: https://dfat.gov.au/exchange/understandings/pages/exchange agreements.aspx [Accessed 8 Jan. 2017]. Chase, A. also, Wheeler, B. 2016.Brexit: All you have to think about the UK leaving the EU - BBC News. [online] BBC News. Accessible at: https://www.bbc.com/news/uk-legislative issues 32810887 [Accessed 8 Jan. 2017]. Kostopoulos, G., Gounaris, S. also, Rizomyliotis, I., 2013, June. Authoritative works on decreasing the negative effect of client resistance: an observational investigation. In42nd EMAC Annual Conference 2013. sbs.com.au, 2016.Major event congregation mishaps in Australia. [online] News. Accessible at: https://www.sbs.com.au/news/article/2016/10/25/significant entertainment mecca mishaps australia [Accessed 8 Jan. 2017]. the Guardian, 2016.Dreamworld's Thunder River Rapids ride that slaughtered four individuals to be wrecked. [online] the Guardian. Accessible at: https://www.theguardian.com/australia-news/2016/nov/09/dreamworlds-thunder-waterway rapids-ride-that-slaughtered four-individuals to-be-wrecked [Accessed 8 Jan. 2017]. Vyravene, R. also, Rabbanee, F.K., 2016. Corporate negative publicitythe job of cause related marketing.Australasian Marketing Journal (AMJ).

Curiosity, Part 2

Curiosity, Part 2 Disclaimer 1: It was very difficult to know how to pitch this. If its overkill for you, dont torture yourself; just skim, or skip to the end. Disclaimer 2: This description is the product of 2-3 hours of Google-ing and discussion, between me and one of my friends. Were nerds who like to stay up late discussing nerdy things, not experts. EVERYTHING BELOW could be false. Believe at your own risk. The Question:  A couple of weeks ago,  I looked at my computer screen from a bunch of different angles, and noticed the following: From above, some (but not all) colors invert: red to cyan, blue to yellow, etc*. This seemed to depend on the shade of the original color. *If youre not familiar with this color opponency thing, an explanation is in the next section. If you ARE familiar with it, skip ahead. From the sides, the colors do not change. From below, the colors merge: all shades of red become one red, all shades of blue become one blue, etc. In my last blog post, I said that I would write up an explanation of this phenomenon if people expressed interest. So, here it is. The basics of color opponency To understand this, you will need a color wheel: The first thing you should notice is that red + green + blue = white; white is the sum of all the colors, and all colors can be described by some combination of red, green, and blue. Also note that: Yellow + Blue = White Cyan + Red = White Magenta + Green = White These can be rearranged to show that: White Yellow = Blue White Cyan = Red White Magenta = Green In other words, blue is the absence of yellow, red is the absence of cyan, and green is the absence of magenta. We call these color pairs (blue-yellow, red-cyan, green-magenta) color opponents, because having more of one automatically means having less of the other. Thats why I say that red inverted to become cyan. How your visual system registers brightness Heres a quick and dirty explanation of how you see: light from a source (the sun, or the lamp in your room) travels through the air, bounces off the object that youre looking at, and enters your eye. What does it mean, then, for one object to appear twice as bright as another? You might be tempted to suggest that twice the amount of light has hit that object, and reached your eye. More specifically, since light is carried in particles called photons, twice the number of photons entered your eye. If this were true, the following statement would also be true: If DarkColor 2 consists of twice the amount of light as DarkColor 1, and BrightColor 2 consists of twice the amount of light as BrightColor 1, then you should perceive the same difference in brightness between the two DarkColors as you should between the two BrightColors. This is not how your eyes are wired. Instead, your eyes see brightness on a logarithmic (log) scale, which is a fancy way of saying that twice the amount of raw light does not mean twice the brightness. Your eyes are actually more sensitive to distinctions between dark tones than to distinctions between light tones. To continue with this example: you would perceive  a much more significant difference between DarkColor 2 and DarkColor 1 than you would between BrightColor 2 and BrightColor 1. Another way to think about this log scale thing is to draw an analogy to age. The difference between being 0 years old and 1 year old is huge, developmentally. Ditto between 1 and 2. Same between 2 and 3. Between 17 aand 18? A bit. Between 40 and 41? 82 and 83? Not so much. You might argue that the developmental difference between two consecutive ages gets smaller and smaller and less significant with greater age. Similarly, the brightness difference between two consecutive amounts of light gets smaller and smaller and less significant with greater amounts of light.  Your eye works this way because being very sensitive to subtle differences in bright objects would be overwhelming; its more important to be sensitive to subtle differences in dark objects. And if your development from 30 to 31 was of the same order of magnitude as your development from 1 to 2? Your body and brain would freak the heck out. Cool fact (not at all important to understanding this) You may be familiar with the way astronomers talk about how bright a star is: magnitude -1 or -25 or 1 or 10 or 0 or whatever. A linear increase of one magnitude corresponds to a change in brightness by a factor of ten.  The reason for this weird system is that magnitudes were initially assigned by eye, before the computer age; our eyes work logarithmically, so the astronomy magnitude system does as well. All this determines How your computer registers brightness Your digital camera receives the same light that your eyes do. A camera is more sensitive to brights than to darks, so if it stored the image exactly as it captured it, it would devote more memory (more bits) to brights than to darks. That would be silly, though, since your eyes make FEWER distinctions between brights; devoting all that memory to brights is spending bits on information that your eyes wont use. Therefore, to make the best use of limited bits, your computer stores the image on the log scale I described earlier. It faces a problem, though, when it comes to actually displaying the image: your eyes expect the image to be just like light sources in nature, which are NOT on log scales. Therefore, the computer has to convert back from the log to the natural scale before displaying. This conversion is done by applying The gamma correction The gamma correction is what your computer applies to an image, in order to put it in the form that your eye expects.  To recap, your eye sees more distinctions in the darks than in the brights.  If the gamma correction is too big, you end up TOO sensitive to darks, and not sensitive enough to brights; the images look dark and shadowy. On the flip side, if the gamma correction is too small, then youre not sensitive enough to darks, and overly sensitive to brights. Either way, the image looks weird to your eye. Heres a visual example from this website (which I recommend reading for an explanation of all this): Normal image: Too much gamma correction: Not enough gamma correction: Hopefully youre still with me. If so, were ready to talk about How the gamma correction changes with viewing angle The gamma correction is perfect for one particular viewing angle. If you go too high (look down at the screen from above) then the gamma correction is too small; the images are bleached out, like that third face. If you go too low (look up at the screen from below) then the gamma correction is too big: the images are dark, like that second face. Look at each of those faces from above and below, and youll see what I mean; its pretty cool. This says nothing about colors, though, or why they may or may not invert. To discuss colors, we first have to talk about How light works Light can be thought of as a wave, like this: Now, imagine that youre generating this wave shape by taking a piece of string, and flapping one end up and down just like this cheerful little guy: From http://scienceprojectideasforkids.com/ All hes doing is moving his hand in a straight line: up and down, up and down. He could also move it in a straight line from left to right, or from the top left to the bottom right: regardless of the angle of this straight line, we say that the wave is linearly polarized. Polarization is just a fancy word for direction. Another way to understand this linear stuff: if you looked at the string from the boys angle, all you would see is a black vertical line. Another visual: From http://www.cfht.hawaii.edu/ The color of the light is determined by the distance between two peaks.  As you can see below, that distance is bigger for red waves than for purple waves. Now that you have some basic theory on light, its time to apply it to How your screen displays lots of different colors Your screen is made up of a whole buttload of pixels, arranged in a 2D array. Each pixel is made up of three subpixels: one for red light, one for green light, and one for blue light. Think of each subpixel as a little gatekeeper: it controls how much of its respective color is able to pass through the gate, and be displayed on the screen.  The result is some combination of red, green, and blue. A few examples: -If each subpixel lets ALL its light through, then we get 100% red, 100% green, and 100% blue, which results in white. -If each subpixel lets NONE of its light through, then we get 0% red, 0% green, and 0% blue, which results in black. -If the red subpixel lets all its light through, but neither the green nor the blue lets any light through, then we get 100% red, 0% green, and 0% blue, which results in (obviously) red. -If the red subpixel lets none of its light through, but both the green and the blue let all of their light through, then we get 0% red, 100% green, and 100% blue, which result in what happens when you take white light and subtract red: you get reds color opponent, cyan. Note in the color wheel that green + blue = cyan, so this makes sense from the RGB perspective. If you go to this website, you can play around with different combinations (instead of 0% 100%, this website deals with a scale of 0 as 0% and 255 as 100%. Same thing, though.) Once you feel comfortable with this RGB pixel scheme, read on to learn How the little gatekeeper subpixel controls the amount of light that gets through it First, we need to describe what a polarization filter is. It is analogous to anything with a series of slits that go in one direction.  To aid your imagination, here is a picket fence: All the slits are vertical. Imagine this: we stand ten feet away, and take turns throwing a Frisbee at the fence, trying to get it to pass through the gaps. How are we going to orient the Frisbee? Not flat, obviously it will almost certainly just bounce back. Well orient it sideways, so that it lines up with the gaps. If we orient it diagonally, theres a higher chance of it going through than if we oriented it flat, but its still not great. Eventually, we get bored with the Frisbee, and turn to trying to beam linearly polarized light through the fence using a LIGHT GUN.  Same strategy!  Just like the Frisbee, light can be oriented vertically, horizontally, diagonally, whatever. We want to orient our light such that it lines up with the slits. In this case, that means lining it up vertically. If we line it up horizontally, none passes through. If we line it up diagonally, some  passes through, but not all. Take the game up a notch. Add a second fence ten feet behind the first one, thats oriented like this: Now, we have a problem; the strategy for getting the light through the first fence is not the same as the strategy for getting the light through the second fence. If we shoot it vertically, for example, itll make it through the first one, but not the second one. Something needs to happen between the fences: we need a friend to stand in there, and somehow change the direction of the light. That way, we can shoot it vertically, and get it through the first fence our friend will then (really quickly) change its orientation to horizontal, so that it can pass through the second fence. This isnot exactly how computer subpixels work, since there is a distinct lack of Frisbees and picket fences in there. HOWEVER, this is a good way of understanding whats actually going on. Instead of two picket fences separated by ten feet, a subpixel has two tiny polarization filters (fancy science talk for very tiny picket fences). The filter at the back of the screen, where the light first enters, has vertical slits, just like the first fence. The filter at the front of the screen, where the light exits to travel to your eye, has horizontal slits, just like the second fence. Instead of a helpful friend standing between the fences, you have a tiny layer of molecules between the filters; these molecules are oriented a bit like a spiral staircase, and rotate the light, like this: In their rest positions, these molecules do a perfect job: they rotate the light wave 90 degrees, so that all the light that enters the first filter manages to leave the second filter. If your screen is completely white, that means that each subpixel is at rest, because light from R, G, and B subpixels is getting through. If your screen is displaying black, that means that each subpixel is at maximum energy; the molecules have re-oriented themselves in order to make sure that the light doesnt rotate at all, and is therefore unable to get through the second filter. If a subpixel has some medium amount of energy,  the molecules do a half-hearted job; they orient themselves in such a way that the light is rotated a bit, but not the full 90 degrees required for all of it to get through. Thats how we get values like 50% red, or 4% blue, or whatever. Remember that each dot on your screen is one pixel, the color of which is determined by the three subpixels. We get such a huge variety of colors because each subpixel works independently to determine how much red, green, and blue make it through the second filter. Basically, the color of a pixel = some amount of red, as determined by the red subpixels molecules + some amount of green, as determined by the green subpixels molecules + some amount of blue, as determined by the blue subpixels molecules. If this makes sense, then youre ready for Why the angle at which you look at the screen matters Were going to use this color as our example: Its basically a shade of red: its mostly red, but theres some green and some blue in there as well. More specifically, all of the pixels within that little pink box have a subpixel RGB distribution as follows: R: 100% (all of the red subpixels are letting 100% of their light through. In other words, their molecules are rotating the linearly polarized light the full 90 degrees.) G: 50% (all of the green subpixels are letting SOME of their light through. In other words, their molecules are rotating the light, but not the full 90 degrees.) B: 50% (same as green) Now, look at it from above. If your screen is LCD, then it should look cyan: reds color opponent. Woah! Lets use what we discussed previously to understand this. First of all, the red subpixels let 100% of their light through. That means that their light is perfectly parallel to the exit slits, which are horizontal on your screen. So, the red light that comes to meet your eye is traveling horizontally, perpendicular to the surface of your screen. Picture a fan, held parallel to the ground: it extends in all directions to the left and the right, but not up or down. So, if you move your head so that youre above or below the screen, you dramatically reduce the amount of red light that reaches you. This is NOT true for the green or the blue subpixels. They didnt let all their light through: their molecules didnt rotate the light the full 90 degrees. So, the green and blue light that comes to meet your eye is NOT traveling horizontally: its at some other angle. If you put your head above or below the screen, you dont necessarily reduce the amount of green or blue that you see. Essentially: -when you look at your screen from above or below, you see MORE green + blue, and less red. The ratios are flipped from what you saw face-on: more intensity face-on = more horizontally polarized = less intensity above or below the screen. It makes sense, then, that you see cyan from above. BUT WAIT! you say. This should mean that if I look at the screen from below, I would also see cyan. But actually, when I look at that pink box from below, it looks red. What happened to the green and the blue? Excellent question; I think that it has to do with the gamma correction. Remember when you look at the screen from below, theres TOO MUCH gamma correction, which means that theres too much sensitivity to darks.When you look at the screen from above, theres NOT ENOUGH gamma correction: theres too much sensitivity to brights. What is dark and what is bright? This is determined by the amount of light.  From both above and below, we see less red, and more cyan. Therefore,  red = dark and cyan = light. Essentially: because of the gamma factor, -when you look from above, youre extra sensitive to the cyan, and less sensitive to the red. The result: cyan. -when you look from below, youre extra sensitive to the red, and less sensitive to the cyan. The result: red. Both are consistent with what you can see with that pink square. The whole light polarization thing determines which colors are brighter and which colors are darker, and the gamma correction decides which of those to make stronger. Hopefully that made some sense. If you have any questions or corrections (like I said, this could very well be wrong) then comment away. The more important part of this post is how much fun it was to logic all of this out with my friend; if you ever find yourself confused about some effect you observe, I highly recommend grabbing a nerdy companion and working it through together. Even if its 2am and you have work the next day. Speaking of work: heres something else thats awesome, and related.  One of my projects this summer, at the National Radio Astronomy Observatory, was to study what happens to the signal from a pulsar as it travels to Earth from space. Guess what kind of light wave we get from pulsars. Linearly polarized light. Guess what happens to the light wave as it travels through space. It rotates. Why does it rotate? Because of the Milky Ways magnetic field, instead of a layer of spiral staircase molecules. This is called Faraday rotation. Heres a schematic, from Wikipedia: You see that the final polarization direction of the light is different from the initial polarization direction; it becomes a bit diagonal, instead of purely vertical. We call this a change in position angle, and we see it in our data. My job was to measure this effect to very high precision, because from it we can glean information about the galaxys magnetic field. In conclusion: http://xkcd.com/54/