1 00:00:12,250 --> 00:00:06,150 you 2 00:00:16,810 --> 00:00:14,220 [Music] 3 00:00:19,480 --> 00:00:16,820 thank you for being here I'm speaking on 4 00:00:21,400 --> 00:00:19,490 behalf of my collaborators Maggie 5 00:00:23,170 --> 00:00:21,410 Turnbull Eric Mamo check Ella Osby a 6 00:00:25,929 --> 00:00:23,180 ginger Skolnick and the rest of the ASU 7 00:00:27,999 --> 00:00:25,939 Nexus team what we've done is we've put 8 00:00:30,040 --> 00:00:28,009 together multiple different sorts of 9 00:00:33,090 --> 00:00:30,050 stellar properties and we smash them 10 00:00:35,320 --> 00:00:33,100 together in order to form ketchup 11 00:00:39,430 --> 00:00:35,330 catalogue Estella unified properties 12 00:00:41,680 --> 00:00:39,440 yeah I made that pun all right so this 13 00:00:43,390 --> 00:00:41,690 is based off of EXO cat which is the 14 00:00:45,880 --> 00:00:43,400 catalogue that Maggie Turnbull put 15 00:00:48,090 --> 00:00:45,890 together about a year or two ago and 16 00:00:51,280 --> 00:00:48,100 this is created in order to support 17 00:00:52,990 --> 00:00:51,290 imaging mission such as W first what 18 00:00:55,119 --> 00:00:53,000 she's done is she's combined looked 19 00:00:58,270 --> 00:00:55,129 through all the literature and she's put 20 00:01:00,639 --> 00:00:58,280 together a stellar information for stars 21 00:01:04,990 --> 00:01:00,649 within 30 parsec so right now EXO cat 22 00:01:06,820 --> 00:01:05,000 has 2351 stars in it now one of the 23 00:01:08,370 --> 00:01:06,830 hardest things that maggie has done is 24 00:01:11,139 --> 00:01:08,380 she's actually tried to understand 25 00:01:13,029 --> 00:01:11,149 exactly how some of these stars are 26 00:01:15,940 --> 00:01:13,039 identified you'd think it'd be a simple 27 00:01:17,920 --> 00:01:15,950 one-to-one correlation but it's not so 28 00:01:19,630 --> 00:01:17,930 there are some stars for example that 29 00:01:21,460 --> 00:01:19,640 have a Hipparchus name but really they 30 00:01:23,200 --> 00:01:21,470 are two stars in there and one of them 31 00:01:25,719 --> 00:01:23,210 doesn't have a name or there are other 32 00:01:27,399 --> 00:01:25,729 cases where one star has two names or 33 00:01:29,620 --> 00:01:27,409 suddenly we see that there's unresolved 34 00:01:31,810 --> 00:01:29,630 stars at all sharing the same thing so 35 00:01:34,300 --> 00:01:31,820 this is actually fairly complicated when 36 00:01:37,060 --> 00:01:34,310 you're trying to very pointedly look at 37 00:01:38,980 --> 00:01:37,070 one specific object so Maggie has done 38 00:01:41,710 --> 00:01:38,990 the very time-consuming they're very 39 00:01:45,100 --> 00:01:41,720 painful task of going through and trying 40 00:01:48,249 --> 00:01:45,110 to identify when I say Hipparcos number 41 00:01:49,810 --> 00:01:48,259 what am I actually referring to so she's 42 00:01:51,670 --> 00:01:49,820 put together all of this information for 43 00:01:52,359 --> 00:01:51,680 the different components within the 44 00:01:54,039 --> 00:01:52,369 catalog 45 00:01:56,560 --> 00:01:54,049 she's also include the basic 46 00:01:59,080 --> 00:01:56,570 observational data and derive stellar 47 00:02:01,090 --> 00:01:59,090 parameters and as I said she's gone 48 00:02:02,800 --> 00:02:01,100 through and done the binary and multiple 49 00:02:07,259 --> 00:02:02,810 system breakdowns 50 00:02:09,910 --> 00:02:07,269 so all of ketchup is based on EXO cat 51 00:02:12,069 --> 00:02:09,920 but additionally we've added into that 52 00:02:15,190 --> 00:02:12,079 the Hypatia catalog so this is my own 53 00:02:17,170 --> 00:02:15,200 baby it isn't it is a stellar abundance 54 00:02:19,120 --> 00:02:17,180 catalog that's an amalgam it from 200 55 00:02:21,130 --> 00:02:19,130 different literature sources so what 56 00:02:23,020 --> 00:02:21,140 I've done is I've combined stellar 57 00:02:26,360 --> 00:02:23,030 abundance data for stars that are all 58 00:02:31,039 --> 00:02:26,370 within 150 parsecs of the Sun ftk type 59 00:02:33,080 --> 00:02:31,049 of 11 m/s and and combined all the stars 60 00:02:35,030 --> 00:02:33,090 that have both iron and a different 61 00:02:36,559 --> 00:02:35,040 element so what you're seeing on the 62 00:02:38,869 --> 00:02:36,569 x-axis are all the elements in the 63 00:02:40,550 --> 00:02:38,879 different species that are thin Hypatia 64 00:02:42,350 --> 00:02:40,560 but also the number of stars for which 65 00:02:44,780 --> 00:02:42,360 these elements have been measured so you 66 00:02:46,490 --> 00:02:44,790 see on right here is iron and that is 67 00:02:48,199 --> 00:02:46,500 going to be the most so it's five 68 00:02:49,759 --> 00:02:48,209 thousand nine hundred and eighty but we 69 00:02:51,710 --> 00:02:49,769 also have quite a number of elements 70 00:02:54,850 --> 00:02:51,720 that are sort of like the lower 71 00:02:56,600 --> 00:02:54,860 refractories and just as a little plug 72 00:02:58,640 --> 00:02:56,610 especially because I'm talking about a 73 00:03:01,280 --> 00:02:58,650 database the head patient catalog will 74 00:03:03,949 --> 00:03:01,290 soon be an online autonomous database 75 00:03:05,599 --> 00:03:03,959 such that anybody can go and look at 76 00:03:07,460 --> 00:03:05,609 this data and you can look at the 77 00:03:09,080 --> 00:03:07,470 multi-dimensional aspect of the data 78 00:03:11,479 --> 00:03:09,090 because I have stellar properties of 79 00:03:13,069 --> 00:03:11,489 abundances for stars as done by 80 00:03:15,800 --> 00:03:13,079 different groups so you don't just need 81 00:03:18,289 --> 00:03:15,810 to email me anymore you can go online 82 00:03:19,910 --> 00:03:18,299 yourself and look at the data and plot 83 00:03:21,649 --> 00:03:19,920 it in real time so that's going to be 84 00:03:23,839 --> 00:03:21,659 high patient catalog calm it should be 85 00:03:25,729 --> 00:03:23,849 available in the fall and there's going 86 00:03:28,670 --> 00:03:25,739 to be a special session at the double-a 87 00:03:32,270 --> 00:03:28,680 s winter and a booth so if you like swag 88 00:03:34,789 --> 00:03:32,280 I'll have swag alright so what we did 89 00:03:36,470 --> 00:03:34,799 was we combined then EXO cat and Hypatia 90 00:03:39,259 --> 00:03:36,480 and the overlap on that with about 800 91 00:03:42,559 --> 00:03:39,269 stars so x''k added about 2300 Hypatia 92 00:03:45,559 --> 00:03:42,569 as has 800 stellar abundances in 93 00:03:47,059 --> 00:03:45,569 addition to that Ella Osby and of Janish 94 00:03:49,190 --> 00:03:47,069 Skolnick once there ended a cross 95 00:03:52,309 --> 00:03:49,200 matching of all of these stars with 96 00:03:55,909 --> 00:03:52,319 Galax so as i mentioned by Adam earlier 97 00:03:59,990 --> 00:03:55,919 galaxy's is looking at UV photometry I 98 00:04:02,089 --> 00:04:00,000 have listed here the wavelengths of the 99 00:04:05,659 --> 00:04:02,099 different bands so what you're seeing in 100 00:04:08,509 --> 00:04:05,669 a blue are the far UV so what they're 101 00:04:11,300 --> 00:04:08,519 you can see like at a temperature 102 00:04:13,369 --> 00:04:11,310 greater than 5500 Kelvin which is where 103 00:04:15,800 --> 00:04:13,379 the photosphere is dominating so you're 104 00:04:17,779 --> 00:04:15,810 getting a rather tight correlation with 105 00:04:20,180 --> 00:04:17,789 temperature but then as temperature 106 00:04:22,279 --> 00:04:20,190 decreases below 5500 you're seeing a 107 00:04:24,439 --> 00:04:22,289 scatter because now the chromosphere 108 00:04:26,360 --> 00:04:24,449 sort of taken over being the dominant 109 00:04:28,550 --> 00:04:26,370 source and now we're seeing some stellar 110 00:04:30,920 --> 00:04:28,560 activity activity which is fairly 111 00:04:33,560 --> 00:04:30,930 interesting overlaid on top is in the 112 00:04:35,420 --> 00:04:33,570 red is the NIR UV and you see that we 113 00:04:36,890 --> 00:04:35,430 have far less stars that have near view 114 00:04:38,220 --> 00:04:36,900 measurements and that's because about 115 00:04:40,860 --> 00:04:38,230 5,200 116 00:04:43,980 --> 00:04:40,870 the we get is sort of the nonlinear 117 00:04:46,200 --> 00:04:43,990 response regime of Galax so what we're 118 00:04:48,810 --> 00:04:46,210 looking at with respect to this data is 119 00:04:51,330 --> 00:04:48,820 the incident UV flux that might happen 120 00:04:53,400 --> 00:04:51,340 that might occur on a planet's surface 121 00:04:56,490 --> 00:04:53,410 and how that would affect ultimately 122 00:04:58,620 --> 00:04:56,500 habitability so in that case we can look 123 00:05:01,470 --> 00:04:58,630 at the ratio of the flux densities and 124 00:05:03,030 --> 00:05:01,480 the far UV and near UV band passes so 125 00:05:05,640 --> 00:05:03,040 this is what we're looking at here on 126 00:05:07,380 --> 00:05:05,650 the X around the y axis with respect to 127 00:05:09,480 --> 00:05:07,390 them to the text effective temperature 128 00:05:11,430 --> 00:05:09,490 now Ella has gone through and she's 129 00:05:13,140 --> 00:05:11,440 removed all of the binaries from this 130 00:05:14,520 --> 00:05:13,150 sample to make sure that what we're 131 00:05:16,350 --> 00:05:14,530 seeing is really what we think we're 132 00:05:19,050 --> 00:05:16,360 seeing so for the stars that I have 133 00:05:21,330 --> 00:05:19,060 circled what we have are incidences of 134 00:05:23,310 --> 00:05:21,340 very high stellar activity which is very 135 00:05:27,330 --> 00:05:23,320 interesting and important to know with 136 00:05:30,090 --> 00:05:27,340 respect to this huge catalog now we have 137 00:05:31,560 --> 00:05:30,100 eric banachek who went through and did 138 00:05:33,960 --> 00:05:31,570 actually he did two things I didn't put 139 00:05:35,760 --> 00:05:33,970 up a slide but he went through and redid 140 00:05:38,010 --> 00:05:35,770 all of our spectral types he is the Guru 141 00:05:39,990 --> 00:05:38,020 as far as I'm concerned of all spectral 142 00:05:41,790 --> 00:05:40,000 type things so he redid all the spectral 143 00:05:44,880 --> 00:05:41,800 types for a source but he also did 144 00:05:46,950 --> 00:05:44,890 x-rays and so he went through and 145 00:05:49,530 --> 00:05:46,960 determined the x-ray fluxes luminosities 146 00:05:52,500 --> 00:05:49,540 and the fractional luminosities for 147 00:05:54,570 --> 00:05:52,510 stars within ketchup but he did so in a 148 00:05:56,310 --> 00:05:54,580 way that has never been done before he 149 00:05:57,930 --> 00:05:56,320 used three different missions so he 150 00:06:02,430 --> 00:05:57,940 looked at chandra which has a peak 151 00:06:05,400 --> 00:06:02,440 energy range of 0.5 to 7k UV and i had a 152 00:06:08,430 --> 00:06:05,410 total of 37 ketchup stars and he did x 153 00:06:11,280 --> 00:06:08,440 mm which is 0.15 to 15 ke v and had a 154 00:06:13,410 --> 00:06:11,290 total of 137 ketchup stars and I'm 155 00:06:16,860 --> 00:06:13,420 finally rosette which had a peak energy 156 00:06:20,340 --> 00:06:16,870 range of 0.12 to 4k TV and had had a lot 157 00:06:21,480 --> 00:06:20,350 so 907 ketchup stars so now these all 158 00:06:23,400 --> 00:06:21,490 these different missions have sort of 159 00:06:27,180 --> 00:06:23,410 different baselines and so he went 160 00:06:28,950 --> 00:06:27,190 through and and reconverted them to the 161 00:06:31,770 --> 00:06:28,960 same baseline in this case it was the 162 00:06:33,390 --> 00:06:31,780 rosette soft x-ray flux system such that 163 00:06:34,830 --> 00:06:33,400 apples could be compared to apples and 164 00:06:36,720 --> 00:06:34,840 we could look at these across the fan so 165 00:06:39,090 --> 00:06:36,730 this was brand new nobody's ever gone 166 00:06:41,340 --> 00:06:39,100 through and redoes all of these x-ray 167 00:06:44,460 --> 00:06:41,350 luminosities and from there we're able 168 00:06:47,490 --> 00:06:44,470 to infer the ages of these stars so 169 00:06:49,390 --> 00:06:47,500 altogether when you have ketchup you 170 00:06:51,490 --> 00:06:49,400 will have a lot of data so 171 00:06:52,800 --> 00:06:51,500 these I tried lifting it all of it just 172 00:06:55,120 --> 00:06:52,810 so you can understand the really like 173 00:06:57,909 --> 00:06:55,130 breath of what we're working with here 174 00:06:59,680 --> 00:06:57,919 so not only do have X ra Dec and XYZ 175 00:07:01,480 --> 00:06:59,690 coordinates but we have those component 176 00:07:03,700 --> 00:07:01,490 analyses that determined by Maggie and 177 00:07:04,990 --> 00:07:03,710 the different Hut part goes number Xin 178 00:07:07,120 --> 00:07:05,000 the system if that's the case where 179 00:07:09,279 --> 00:07:07,130 we're looking at overlaps we have a 180 00:07:13,050 --> 00:07:09,289 kinematic thin vs. thick disk 181 00:07:15,460 --> 00:07:13,060 determination BVB - the determinations 182 00:07:16,689 --> 00:07:15,470 and then we have this spectral type as 183 00:07:19,240 --> 00:07:16,699 we're done by Erik because he's awesome 184 00:07:22,300 --> 00:07:19,250 and this effective temperature that I've 185 00:07:24,189 --> 00:07:22,310 pulled from the pastel dataset I've 186 00:07:27,340 --> 00:07:24,199 included iron carbon oxygen magnesium 187 00:07:29,830 --> 00:07:27,350 silicon calcium and aluminum and as was 188 00:07:31,870 --> 00:07:29,840 mentioned by Patrick because I look I 189 00:07:33,460 --> 00:07:31,880 have an amalgam at data set of stellar 190 00:07:36,400 --> 00:07:33,470 abundances what that means is I have 191 00:07:39,219 --> 00:07:36,410 multiple groups who have measured the 192 00:07:41,080 --> 00:07:39,229 same element in the same star so when I 193 00:07:44,170 --> 00:07:41,090 go through and try to determine what and 194 00:07:46,060 --> 00:07:44,180 overall abundances I take not just the 195 00:07:48,189 --> 00:07:46,070 error that people gave me but I look at 196 00:07:50,950 --> 00:07:48,199 this difference or like what I call the 197 00:07:53,010 --> 00:07:50,960 spread between these groups because that 198 00:07:56,370 --> 00:07:53,020 in my mind is the most important 199 00:07:58,900 --> 00:07:56,380 understanding of how well do we know the 200 00:08:00,700 --> 00:07:58,910 abundance in a star and more often than 201 00:08:02,560 --> 00:08:00,710 not the spread between different groups 202 00:08:04,089 --> 00:08:02,570 is greater than their respective error 203 00:08:07,870 --> 00:08:04,099 that they tend to give so this is an 204 00:08:10,060 --> 00:08:07,880 overall a good indicator of how well do 205 00:08:12,010 --> 00:08:10,070 we understand these abundances so that 206 00:08:14,050 --> 00:08:12,020 will be included so the spread for the 207 00:08:16,060 --> 00:08:14,060 abundances then we have the new UV 208 00:08:18,490 --> 00:08:16,070 magnitude fluxes in there errors and the 209 00:08:20,250 --> 00:08:18,500 far UV for the ultraviolet and then 210 00:08:22,360 --> 00:08:20,260 we'll have all of this great information 211 00:08:24,760 --> 00:08:22,370 I'm not even going to read all of it off 212 00:08:26,500 --> 00:08:24,770 from the x-ray difference all the 213 00:08:28,689 --> 00:08:26,510 different x-ray sources so this will be 214 00:08:31,330 --> 00:08:28,699 coming soon we are almost finished with 215 00:08:32,860 --> 00:08:31,340 it in fact the goal especially since all 216 00:08:35,079 --> 00:08:32,870 my collaborators are in the room is to 217 00:08:37,690 --> 00:08:35,089 submit at the end of May we're doing 218 00:08:39,610 --> 00:08:37,700 this and that it will be available 219 00:08:42,219 --> 00:08:39,620 online because of course the whole point 220 00:08:45,130 --> 00:08:42,229 of doing this especially as as part of 221 00:08:47,380 --> 00:08:45,140 the ASU Nexus team is to put all the 222 00:08:49,300 --> 00:08:47,390 stages together such that people can use 223 00:08:51,490 --> 00:08:49,310 it and find out as much about these 224 00:08:54,440 --> 00:08:51,500 nearby stars as possible and use it in 225 00:09:03,329 --> 00:08:54,450 their own research thank you very much 226 00:09:10,019 --> 00:09:08,199 why not 35 parsecs Maggie why not 35 227 00:09:13,030 --> 00:09:10,029 parsecs 228 00:09:18,810 --> 00:09:13,040 why not 25 but just weird that number 229 00:09:26,019 --> 00:09:24,759 Maggie could you come up to the mic you 230 00:09:28,600 --> 00:09:26,029 know this is based on the Hipparcos 231 00:09:31,329 --> 00:09:28,610 catalog which is our most complete 232 00:09:33,910 --> 00:09:31,339 source of parallax information and you 233 00:09:36,069 --> 00:09:33,920 know beyond 30 parsecs ish hey you're 234 00:09:38,110 --> 00:09:36,079 not really complete with g-type stars 235 00:09:40,150 --> 00:09:38,120 anymore and be the I mean you're just 236 00:09:41,980 --> 00:09:40,160 including more and more junk in the 237 00:09:43,600 --> 00:09:41,990 sample basically I mean not that those 238 00:09:47,550 --> 00:09:43,610 aren't great stars but we just don't 239 00:09:47,560 --> 00:09:55,530 yeah 240 00:09:59,040 --> 00:09:57,629 would ya this is also true for the 241 00:10:01,680 --> 00:09:59,050 stellar abundances after about 30 242 00:10:04,920 --> 00:10:01,690 parsecs we the the sample just drops off 243 00:10:08,060 --> 00:10:04,930 pretty hard all right no more questions