1 00:00:00,012 --> 00:00:07,206 Evolution stellar populations in galaxies is one of the key ingredients of our 2 00:00:07,206 --> 00:00:11,636 understanding of galaxy evolution in general. 3 00:00:11,636 --> 00:00:18,572 If we look at colors of galaxies nearby we can immediately see that there is a 4 00:00:18,572 --> 00:00:23,886 bimodel distribution. There is a fairly narrow red, peak, which 5 00:00:23,886 --> 00:00:27,071 is due to the elliptical galaxies and bulges. 6 00:00:27,071 --> 00:00:31,856 And there is a fairly broad blue distribution, that corresponds to the 7 00:00:31,856 --> 00:00:35,905 discs of spirals. In more modern renderings, you can plot 8 00:00:35,905 --> 00:00:39,136 colors as a function of intrinsic luminosity. 9 00:00:39,136 --> 00:00:43,151 And you still see those same two blobs. But they're a little tilted. 10 00:00:43,151 --> 00:00:46,196 In the case of elliptical galaxies that ridge line. 11 00:00:46,196 --> 00:00:50,073 [inaudible] is really mass[INAUDIBLE]. The more luminous the. 12 00:00:50,074 --> 00:00:55,725 The ellipticals retain more of their, chemical evolution products. 13 00:00:55,725 --> 00:01:01,235 Their more metal rich metals absorb more like in the ultraviolet galaxy look 14 00:01:01,235 --> 00:01:04,407 redder. So this is largely mass metallicity 15 00:01:04,407 --> 00:01:08,043 sequence. For spirals there isn't a very simple 16 00:01:08,044 --> 00:01:12,732 relation like that. Their colors are combination of mixture of 17 00:01:12,732 --> 00:01:16,912 stellar ages. Star formation rates as well as extinction 18 00:01:16,912 --> 00:01:20,398 by dust. So we can produce predicted theoretical 19 00:01:20,398 --> 00:01:24,391 spectra of evolving galaxies in the following fashion. 20 00:01:24,391 --> 00:01:29,288 We have to make an assumption of what the star formation history is. 21 00:01:29,289 --> 00:01:34,831 This is a purely pre-parametering the model, but we can make reasonable guesses. 22 00:01:34,831 --> 00:01:40,037 We need to know what is the initial mass function, the distribution of stars by 23 00:01:40,037 --> 00:01:45,637 mass when they're formed, because stars of different masses can be involved in very 24 00:01:45,637 --> 00:01:50,876 different[UNKNOWN]. Then for each stellar mass and, and, and 25 00:01:50,876 --> 00:01:56,462 age we need a spectrum. So we need libraries of stellar spectra 26 00:01:56,462 --> 00:02:03,670 that can be associated with all components of the stellar population at any given 27 00:02:03,670 --> 00:02:07,634 age. This is actually not an easy thing to do, 28 00:02:07,634 --> 00:02:13,981 because we can observe a lot near us. But for example, we have no spectra of 29 00:02:13,981 --> 00:02:20,367 very metal poor very massive stars, because those have burnt out long time 30 00:02:20,367 --> 00:02:23,448 ago. And, again from theory, tested by 31 00:02:23,448 --> 00:02:29,520 observations of star clusters and so on, we need stellar population evolution 32 00:02:29,520 --> 00:02:33,362 tracks. How does distribution of stars and color 33 00:02:33,362 --> 00:02:39,434 magnitudes space the HR Diagram changes the function of time for a given amount 34 00:02:39,434 --> 00:02:41,954 of. Chemical enrichment and so on. 35 00:02:41,954 --> 00:02:46,828 You take a quantity of gas and turn it all into stars instantaneously. 36 00:02:46,828 --> 00:02:52,410 A delta function star formation rate distributed according to your initial mass 37 00:02:52,410 --> 00:02:55,958 function. And then follow it's evolution in time. 38 00:02:55,958 --> 00:02:59,713 This is what's known as a simple stellar population. 39 00:02:59,713 --> 00:03:04,972 There is no such thing in reality, although globular clusters come close. 40 00:03:04,972 --> 00:03:10,102 And then it can represent net total star formation history of a galaxy is a 41 00:03:10,102 --> 00:03:15,366 collection of these, and follow the map. One popular way of expressing star 42 00:03:15,366 --> 00:03:19,338 formation histories is a exponentially declining rate. 43 00:03:19,338 --> 00:03:24,715 Which is probalby not a bad overall assumption Average or many galaxies. 44 00:03:24,715 --> 00:03:30,495 In this case, for early type galaxies there is a lot of star formation early on. 45 00:03:30,495 --> 00:03:34,788 The exponential very steep. For this galaxy very shallow. 46 00:03:34,788 --> 00:03:39,409 For irregular galaxies may be essentially flat or even rising. 47 00:03:39,409 --> 00:03:44,875 Stellar evolution is one of the best understood Segments of astrophysics. 48 00:03:44,875 --> 00:03:47,753 We really do know how stars work and evolve. 49 00:03:47,753 --> 00:03:53,042 And that's been confirmed again and again through many decades of observations. 50 00:03:53,042 --> 00:03:57,065 There are certainly details that still need to be ironed out. 51 00:03:57,065 --> 00:04:01,699 But at the level that we care about here, we really do understand that. 52 00:04:01,699 --> 00:04:08,569 An important thing to remember is that more massive stars They are much faster, 53 00:04:08,569 --> 00:04:14,809 they are more luminous, they are also hotter, so they are[UNKNOWN] more 54 00:04:14,809 --> 00:04:19,976 important but not for long. Thus, spectrum of an evolving galaxy will 55 00:04:19,976 --> 00:04:24,981 change more rapidly in the blue parts of the spectrum, thanks to the short life 56 00:04:24,981 --> 00:04:29,726 times of these massive stars. And will be changing relatively slowly in 57 00:04:29,726 --> 00:04:34,731 the red parts of the spectrum where the most of the light may be coming from well 58 00:04:34,731 --> 00:04:38,014 of all slowly evolving population of red giants. 59 00:04:38,014 --> 00:04:43,523 There are many stellar populations indices methods out there. 60 00:04:43,523 --> 00:04:47,485 And they sometimes disagree on some details. 61 00:04:47,485 --> 00:04:51,472 But by and large the agreement's pretty good. 62 00:04:51,472 --> 00:04:57,811 One popular set is called Giselle. Which is a library of The galaxy evolution 63 00:04:57,811 --> 00:05:02,081 spectra by[UNKNOWN] and[UNKNOWN]. We know how stars evolve. 64 00:05:02,081 --> 00:05:05,718 We even have spectra of lots of different kinds of stars. 65 00:05:05,718 --> 00:05:08,975 And we have some idea of the initial mass function. 66 00:05:08,975 --> 00:05:12,019 At least we measure it locally in the milky way. 67 00:05:12,019 --> 00:05:17,334 And then we have to make assumptions what it's saying in all galaxies at all times. 68 00:05:17,334 --> 00:05:23,778 We can test some of those assumptions. But then we have to assume star formation 69 00:05:23,778 --> 00:05:29,107 rate which again is a completely free parameter in this exercise. 70 00:05:29,107 --> 00:05:33,205 This is what stellar evolution tracks look like. 71 00:05:33,206 --> 00:05:37,444 They're computed from stellar evolution models. 72 00:05:37,445 --> 00:05:41,566 And a star evolves it moves in the color magnitude space. 73 00:05:41,566 --> 00:05:47,522 How and where depends very much or almost entirely on its mass with minor dependence 74 00:05:47,522 --> 00:05:51,611 on its metallicity. So we get these stellar evolutionary 75 00:05:51,611 --> 00:05:57,239 tracks from theory, our understanding of stellar structure and evolution it's 76 00:05:57,239 --> 00:06:01,711 pretty solid. Then, we need to have their spectra. 77 00:06:01,711 --> 00:06:09,190 And for kinds of stars that we can observe near us, that's an easy thing to acquire. 78 00:06:09,190 --> 00:06:16,786 For kinds of stars that are no longer with us, say, very young, metal poor, very high 79 00:06:16,786 --> 00:06:21,022 mass stars. This will require some theoretical 80 00:06:21,022 --> 00:06:27,036 modeling, and stripulation. We make an assumption about initial mass 81 00:06:27,036 --> 00:06:33,702 function, and again we understand that in the local Milky Way condition, but it 82 00:06:33,702 --> 00:06:40,166 would be very different in the early universe where, say, stars were made out 83 00:06:40,166 --> 00:06:44,674 of, Of hydrogen and helium, and hardly anything else. 84 00:06:44,674 --> 00:06:49,931 In fact, we believe that was the case, that the initial mass function of 85 00:06:49,931 --> 00:06:55,664 primordial stars was very different. And then again, we have to assume star 86 00:06:55,664 --> 00:07:00,143 formation history. In reality, we assume some types of star 87 00:07:00,143 --> 00:07:05,077 formation histories. Compute the consequences, compared it to 88 00:07:05,077 --> 00:07:11,083 iterations and iterate until we have a model that seems to fit observations and 89 00:07:11,083 --> 00:07:17,239 that's telling us what the likely star formation history of these galaxies was. 90 00:07:17,240 --> 00:07:21,583 So stars evolve, the blue ones keep disappearing faster. 91 00:07:21,583 --> 00:07:27,661 Galaxies will be changing their colors and here in color, color space you can follow 92 00:07:27,661 --> 00:07:32,347 the, theoretical behavior of evolving stellar populations. 93 00:07:32,347 --> 00:07:38,110 You can also see where the galaxies are, and indeed they form something of a. 94 00:07:38,110 --> 00:07:44,552 Sequence that corresponds to the younger, hotter stars on late Hubble types, older, 95 00:07:44,552 --> 00:07:50,535 redder stars for the early Hubble types. Here is a comparison of predictions of 96 00:07:50,535 --> 00:07:55,697 three different types of stellar population and synthesis models by 97 00:07:55,697 --> 00:08:01,042 different groups. And it shows predicted colors and mass to 98 00:08:01,042 --> 00:08:07,014 light ratios for model galaxies. By and large they agree very well. 99 00:08:07,014 --> 00:08:13,356 The minor disagreements usually are very young ages and there is some debate 100 00:08:13,356 --> 00:08:17,537 actually what is the correct thing to assume but. 101 00:08:17,538 --> 00:08:22,760 Qualitatively at least, we understand very well how things are working. 102 00:08:22,760 --> 00:08:27,746 And so this is what evolving spectra of stellar populations look like. 103 00:08:27,746 --> 00:08:33,562 This is for a simple stellar population. Remember this is a scoop of stars made all 104 00:08:33,562 --> 00:08:37,844 at once, and let go. Note, these are logarithmic plots of log 105 00:08:37,844 --> 00:08:40,206 flux versus log wavelength. So. 106 00:08:40,206 --> 00:08:45,898 They really hide the strong contrast. And if you stare at curves which are 107 00:08:45,898 --> 00:08:52,315 labeled by their age, those near the top tends to be youngest because younger stars 108 00:08:52,315 --> 00:08:57,353 are more luminous. You find out that in the ultraviolet, blue 109 00:08:57,353 --> 00:09:01,983 part of the spectrum, the flux will plummet very quickly. 110 00:09:01,983 --> 00:09:07,142 Whereas it would be changing in the red part of the spectrum, but much slower 111 00:09:07,142 --> 00:09:11,911 which is exactly what we expect. Here is a comparison of predicted model 112 00:09:11,911 --> 00:09:17,215 spectral of different ages assuming different libraries of stellar population 113 00:09:17,215 --> 00:09:20,833 evolution tracs and spectra. And again you see that. 114 00:09:20,834 --> 00:09:24,977 Different models seem to be in an excellent mutual agreement. 115 00:09:24,977 --> 00:09:30,316 Which is giving us some confidence that we actually do understand how this works. 116 00:09:30,316 --> 00:09:34,690 Another kind of models that they are now more popular are so called, 117 00:09:34,690 --> 00:09:39,994 semi-analytical, or hybrid models, where one can use telepopulation synthesis 118 00:09:39,994 --> 00:09:43,677 models. Associate them with galaxies that they're 119 00:09:43,677 --> 00:09:47,673 being assembled through hierarchical structure formation. 120 00:09:47,673 --> 00:09:53,110 Either from a numerical simulation, or from some statistical description thereof. 121 00:09:53,110 --> 00:09:57,454 And make predictions of how will they ch, colors change and so on. 122 00:09:57,455 --> 00:10:02,497 There are unfortunately way too many two level parameters in these models. 123 00:10:02,497 --> 00:10:09,031 And so they have some modest success, but they illustrate of all different things 124 00:10:09,031 --> 00:10:15,395 that have to be taken into account, and a lot of assumptions that have to be made. 125 00:10:15,395 --> 00:10:26,216 Next time we will turn to the actual observations of galaxy evolution.