1 00:00:04,230 --> 00:00:11,410 [Music] 2 00:00:16,189 --> 00:00:13,850 alrighty hi everyone thanks for having 3 00:00:17,810 --> 00:00:16,199 me today my name is Michaela Liang I'm 4 00:00:19,910 --> 00:00:17,820 currently a PhD candidate at the 5 00:00:22,130 --> 00:00:19,920 University of California Riverside 6 00:00:24,230 --> 00:00:22,140 um I'll be talking to you today about my 7 00:00:26,029 --> 00:00:24,240 work on novel methylated biosignatures 8 00:00:27,890 --> 00:00:26,039 and specifically their application to 9 00:00:28,910 --> 00:00:27,900 exoplanets which I usually don't have to 10 00:00:31,730 --> 00:00:28,920 say because I'm usually talking to 11 00:00:33,770 --> 00:00:31,740 astronomers so that's kind of fun 12 00:00:36,049 --> 00:00:33,780 um there's a little bit of a breakdown 13 00:00:37,970 --> 00:00:36,059 diagram here on the far side that's my 14 00:00:39,950 --> 00:00:37,980 left so your right 15 00:00:41,389 --> 00:00:39,960 um that's kind of showing the processing 16 00:00:43,850 --> 00:00:41,399 of these molecules all the way from 17 00:00:45,530 --> 00:00:43,860 surface fluxes atmospheric chemistry 18 00:00:46,790 --> 00:00:45,540 um the production of spectral features 19 00:00:49,310 --> 00:00:46,800 and we're kind of thinking about how 20 00:00:51,470 --> 00:00:49,320 this will vary across a variety of 21 00:00:54,110 --> 00:00:51,480 Stellar types so that's kind of just a 22 00:00:56,029 --> 00:00:54,120 very quick summary breakdown 23 00:00:57,950 --> 00:00:56,039 um so let's jump into talking about why 24 00:01:00,590 --> 00:00:57,960 we're specifically interested in these 25 00:01:03,110 --> 00:01:00,600 methylated gases um and the the answer 26 00:01:04,670 --> 00:01:03,120 is largely that there's a major false 27 00:01:06,649 --> 00:01:04,680 positive problem 28 00:01:08,210 --> 00:01:06,659 um for the first biosignature detections 29 00:01:10,250 --> 00:01:08,220 a lot of molecules 30 00:01:11,990 --> 00:01:10,260 um Like Oxygen ozone methane things like 31 00:01:14,690 --> 00:01:12,000 that that we expect to be potentially 32 00:01:16,670 --> 00:01:14,700 the first molecules detected 33 00:01:18,590 --> 00:01:16,680 um that could be connected to life in 34 00:01:20,810 --> 00:01:18,600 terrestrial exoplanet atmospheres can 35 00:01:22,370 --> 00:01:20,820 also be produced by a variety of 36 00:01:24,950 --> 00:01:22,380 planetary processes including 37 00:01:26,870 --> 00:01:24,960 thermodynamic equilibrium chemistry 38 00:01:29,390 --> 00:01:26,880 um and so these methylated gases are 39 00:01:32,090 --> 00:01:29,400 specifically uh almost exclusively 40 00:01:33,649 --> 00:01:32,100 produced by life and all of the other 41 00:01:35,270 --> 00:01:33,659 Pathways that we've investigated have 42 00:01:37,429 --> 00:01:35,280 been very minimal so we're really 43 00:01:39,590 --> 00:01:37,439 excited that these gases could 44 00:01:42,890 --> 00:01:39,600 potentially be a very strong affirmative 45 00:01:45,050 --> 00:01:42,900 uh signal of life and these gases are 46 00:01:48,109 --> 00:01:45,060 generated by the process of volatile 47 00:01:50,990 --> 00:01:48,119 methylation which actually we believe to 48 00:01:53,810 --> 00:01:51,000 be a descendant or perhaps a Rel 49 00:01:55,609 --> 00:01:53,820 relative in some way of the process of 50 00:01:57,530 --> 00:01:55,619 DNA methylation which for you biologists 51 00:01:59,210 --> 00:01:57,540 out there I'm sure you're all much more 52 00:02:01,310 --> 00:01:59,220 familiar with than I but we see volatile 53 00:02:04,429 --> 00:02:01,320 methylation in a variety of different 54 00:02:06,649 --> 00:02:04,439 ecosystems including microbial mats the 55 00:02:08,510 --> 00:02:06,659 open ocean and primarily actually a lot 56 00:02:10,729 --> 00:02:08,520 of terrestrial Marine uh kind of 57 00:02:12,830 --> 00:02:10,739 crossover ecosystems 58 00:02:15,050 --> 00:02:12,840 um we also see it done by a variety of 59 00:02:16,670 --> 00:02:15,060 organisms primarily a single cellular 60 00:02:18,949 --> 00:02:16,680 life but we do also see everyone's 61 00:02:22,430 --> 00:02:18,959 favorite Brassica vegetables 62 00:02:23,930 --> 00:02:22,440 um also produce methylated gases 63 00:02:26,150 --> 00:02:23,940 um and we think in particular that 64 00:02:28,550 --> 00:02:26,160 methylation is connected to the process 65 00:02:30,350 --> 00:02:28,560 of environmental detoxification 66 00:02:32,330 --> 00:02:30,360 um and that the Need For Life to kind of 67 00:02:33,830 --> 00:02:32,340 control its environment is possibly a 68 00:02:35,570 --> 00:02:33,840 fundamental characteristic of life 69 00:02:37,130 --> 00:02:35,580 itself and so when we're thinking about 70 00:02:40,130 --> 00:02:37,140 you know what life might look like under 71 00:02:41,570 --> 00:02:40,140 fundamentally different biogeochemistry 72 00:02:43,009 --> 00:02:41,580 um you know we're it's probably still 73 00:02:44,330 --> 00:02:43,019 going to need to be controlling that 74 00:02:46,190 --> 00:02:44,340 surroundings in some ways we're really 75 00:02:47,150 --> 00:02:46,200 excited about that potential tie-in as 76 00:02:48,710 --> 00:02:47,160 well 77 00:02:50,809 --> 00:02:48,720 um we're not the first people to think 78 00:02:52,910 --> 00:02:50,819 about methylated biosignatures there are 79 00:02:56,270 --> 00:02:52,920 uh previous study specifically cigarette 80 00:02:58,910 --> 00:02:56,280 all 2005 and domigal Goldman at all 2011 81 00:03:01,970 --> 00:02:58,920 which specifically show one an enhanced 82 00:03:03,650 --> 00:03:01,980 buildup level around M dwarfs and two a 83 00:03:06,229 --> 00:03:03,660 secondary ethane biosignature that's 84 00:03:08,210 --> 00:03:06,239 produced by atmospheric photolysis of 85 00:03:09,710 --> 00:03:08,220 dimethyl sulfide and dimethyl disulfide 86 00:03:11,809 --> 00:03:09,720 and that produces a potentially 87 00:03:13,130 --> 00:03:11,819 detectable ethane signature 88 00:03:15,649 --> 00:03:13,140 um and so we're going to follow a 89 00:03:17,630 --> 00:03:15,659 relatively similar uh pathway we're 90 00:03:19,309 --> 00:03:17,640 jumping from labland that we've been in 91 00:03:20,869 --> 00:03:19,319 for the last couple of talks to modeling 92 00:03:23,330 --> 00:03:20,879 land 93 00:03:25,490 --> 00:03:23,340 um and uh primarily we're going to be 94 00:03:26,930 --> 00:03:25,500 talking about photochemical and spectral 95 00:03:28,309 --> 00:03:26,940 modeling basically thinking about how 96 00:03:30,290 --> 00:03:28,319 these gases are processed in the 97 00:03:32,630 --> 00:03:30,300 atmosphere and what those potential 98 00:03:34,790 --> 00:03:32,640 signals might look like 99 00:03:37,250 --> 00:03:34,800 um just jumping into some results 100 00:03:40,190 --> 00:03:37,260 um we have first here methyl bromide 101 00:03:42,229 --> 00:03:40,200 which is again on your left and we have 102 00:03:43,550 --> 00:03:42,239 methyl iodine which is on I think you're 103 00:03:45,830 --> 00:03:43,560 right 104 00:03:47,690 --> 00:03:45,840 um and you'll notice that as I said 105 00:03:49,250 --> 00:03:47,700 before for methyl chloride they see an 106 00:03:51,890 --> 00:03:49,260 atmospheric buildup level that's much 107 00:03:54,710 --> 00:03:51,900 higher around these M dwarf uh cooler 108 00:03:56,869 --> 00:03:54,720 better stars and we actually see that uh 109 00:03:58,789 --> 00:03:56,879 buildup replicated and actually even 110 00:04:00,589 --> 00:03:58,799 more enhanced for methyl bromide and 111 00:04:03,589 --> 00:04:00,599 this result from methyl is from like 112 00:04:05,270 --> 00:04:03,599 literally last week so that's brand new 113 00:04:06,770 --> 00:04:05,280 um and we're also seeing again the same 114 00:04:08,869 --> 00:04:06,780 sort of enhanced buildup you'll notice 115 00:04:10,009 --> 00:04:08,879 that it's to a lesser degree and we 116 00:04:12,110 --> 00:04:10,019 think that's probably because it's just 117 00:04:15,589 --> 00:04:12,120 a larger molecule and so it's a larger 118 00:04:17,750 --> 00:04:15,599 molecule it's going to be hit by more uh 119 00:04:18,890 --> 00:04:17,760 potentially active uh photochemical 120 00:04:21,650 --> 00:04:18,900 light 121 00:04:24,230 --> 00:04:21,660 so we use this photochemical model to to 122 00:04:25,490 --> 00:04:24,240 create profiles of gases in the 123 00:04:27,530 --> 00:04:25,500 atmosphere and kind of figure out where 124 00:04:28,850 --> 00:04:27,540 everything is where where it's at in the 125 00:04:30,890 --> 00:04:28,860 atmosphere and then we're using like I 126 00:04:32,930 --> 00:04:30,900 said a series of spectral models 127 00:04:34,249 --> 00:04:32,940 um so this these are mid-infrared 128 00:04:35,810 --> 00:04:34,259 emission Spectra 129 00:04:37,310 --> 00:04:35,820 um and the most important thing that 130 00:04:39,350 --> 00:04:37,320 I'll call your attention to here there's 131 00:04:40,790 --> 00:04:39,360 kind of a lot going on but the bottom 132 00:04:42,590 --> 00:04:40,800 row is actually showing an experiment 133 00:04:44,990 --> 00:04:42,600 that we did where we add multiple 134 00:04:46,550 --> 00:04:45,000 methylated gases in this case methyl 135 00:04:48,290 --> 00:04:46,560 chloride and methyl bromide and you'll 136 00:04:50,390 --> 00:04:48,300 actually notice that the features that 137 00:04:51,469 --> 00:04:50,400 we see especially for Proxima Centauri 138 00:04:53,210 --> 00:04:51,479 which is going to be that plot all the 139 00:04:54,770 --> 00:04:53,220 way down in the bottom corner 140 00:04:56,510 --> 00:04:54,780 um that feature is actually a little bit 141 00:04:57,890 --> 00:04:56,520 wider and a little bit deeper than just 142 00:04:59,510 --> 00:04:57,900 kind of the simple sum of the features 143 00:05:01,490 --> 00:04:59,520 and that's partially because we're doing 144 00:05:02,810 --> 00:05:01,500 self-consistent photochemistry 145 00:05:05,450 --> 00:05:02,820 um and so you do get higher buildup 146 00:05:07,430 --> 00:05:05,460 levels and also because this absorption 147 00:05:09,469 --> 00:05:07,440 feature near 10 microns is actually the 148 00:05:11,570 --> 00:05:09,479 acetah halogen Bond and so acetochlorine 149 00:05:12,890 --> 00:05:11,580 and Cedar bromine are sort of uh next to 150 00:05:14,390 --> 00:05:12,900 each other and overlapping a little bit 151 00:05:16,670 --> 00:05:14,400 but really creating this much larger 152 00:05:18,830 --> 00:05:16,680 feature um so we're optimistic that a 153 00:05:20,689 --> 00:05:18,840 future telescope capable of minimum 154 00:05:22,029 --> 00:05:20,699 infrared emission spectroscopy could 155 00:05:24,529 --> 00:05:22,039 detect these 156 00:05:26,330 --> 00:05:24,539 and we also think that while this could 157 00:05:27,950 --> 00:05:26,340 detect a methylated gas we could 158 00:05:31,010 --> 00:05:27,960 potentially fingerprint a specific 159 00:05:34,189 --> 00:05:31,020 methylated gas using extremely high 160 00:05:36,469 --> 00:05:34,199 resolution ground-based spectroscopy 161 00:05:38,930 --> 00:05:36,479 um and potentially one mode that we 162 00:05:40,430 --> 00:05:38,940 could use for the emission spectroscopy 163 00:05:42,110 --> 00:05:40,440 that I was just showing is the life 164 00:05:44,090 --> 00:05:42,120 telescope which is a concept Mission 165 00:05:45,350 --> 00:05:44,100 that's actually run by the European 166 00:05:47,270 --> 00:05:45,360 Space Agency where they're using 167 00:05:50,150 --> 00:05:47,280 interferometry to essentially get a 168 00:05:51,469 --> 00:05:50,160 larger uh approximation of a telescope 169 00:05:52,550 --> 00:05:51,479 rather than putting like 100 meter 170 00:05:53,930 --> 00:05:52,560 telescope in space because that's 171 00:05:54,770 --> 00:05:53,940 actually going to be very difficult to 172 00:05:56,090 --> 00:05:54,780 do 173 00:05:58,490 --> 00:05:56,100 um and so you could see here that 174 00:05:59,749 --> 00:05:58,500 there's simulated error bars for the 175 00:06:01,189 --> 00:05:59,759 observations 176 00:06:03,230 --> 00:06:01,199 um and that there's kind of a noticeable 177 00:06:05,090 --> 00:06:03,240 difference between the atmospheres 178 00:06:07,490 --> 00:06:05,100 without these methylated gases and 179 00:06:09,830 --> 00:06:07,500 especially the higher flux cases and we 180 00:06:13,070 --> 00:06:09,840 can also look at this as a kind of 181 00:06:14,150 --> 00:06:13,080 comparison to the sigma of the detection 182 00:06:15,650 --> 00:06:14,160 and you can see we get some pretty 183 00:06:18,050 --> 00:06:15,660 significantly large features here and 184 00:06:20,090 --> 00:06:18,060 we're optimistic again that if any bio 185 00:06:22,249 --> 00:06:20,100 signatures are detected on these planets 186 00:06:24,050 --> 00:06:22,259 these are very optimistic planets were 187 00:06:26,809 --> 00:06:24,060 simulating for but hopefully these 188 00:06:28,189 --> 00:06:26,819 methylated gases will be among uh those 189 00:06:29,870 --> 00:06:28,199 bio signatures that it's possible to 190 00:06:32,570 --> 00:06:29,880 detect so I will leave you with my 191 00:06:34,730 --> 00:06:32,580 conclusions I think I am right on time 192 00:06:36,590 --> 00:06:34,740 um I'm at poster nine which is right on 193 00:06:38,270 --> 00:06:36,600 the other side of this wall or you can 194 00:06:39,300 --> 00:06:38,280 feel free to contact me my information 195 00:06:44,029 --> 00:06:39,310 is on the slide