1 00:00:00,000 --> 00:00:08,640 Nikolas shanell he will be now talking about rare top presses in CMS. 2 00:00:09,600 --> 00:00:15,360 Thank you very much. Do you see the slides? Yes, we see the slides and we see 3 00:00:15,360 --> 00:00:24,030 you I should probably first canceling. Yes. Okay. Thank you very much. So, yeah, 4 00:00:24,360 --> 00:00:32,310 I will present the the same, the same processes here, stock processes. But this 5 00:00:32,310 --> 00:00:40,500 time the measurement that we do at CMS and the outline of the talk is the following. 6 00:00:40,500 --> 00:00:46,200 So, I will present some two measurements. For those processes. I will start with SR 7 00:00:46,230 --> 00:00:53,490 plus d, then also for the SR plus gamma and on Monday, and then there will be two 8 00:00:53,490 --> 00:00:59,280 flavors of foster community analogies, and the plot shows the production cross 9 00:00:59,280 --> 00:01:05,250 section For different processes, we've stopped clocks and you can see why we call 10 00:01:05,250 --> 00:01:09,120 them overhead processes. Just the fact that there are three orders of magnitude 11 00:01:09,120 --> 00:01:16,860 between TT bar and TQ or TMS Q and two more orders of magnitude for photo. So 12 00:01:16,860 --> 00:01:24,480 these are really rare causes. So why do we want to measure them? Obviously, if you 13 00:01:24,510 --> 00:01:29,070 can first observe them, which is the first goal, this will constitute this test of 14 00:01:29,070 --> 00:01:34,860 this phenomenal prediction. Especially better but if GCD but also a little weaker 15 00:01:34,890 --> 00:01:41,280 correction. GTC Q and T, gamma q processes are electroweak produced and they have 16 00:01:41,280 --> 00:01:47,310 some features associated to that. And also, default of processes are mainly QC D 17 00:01:47,340 --> 00:01:54,480 induced. So it's not exactly the same kind of couplings you're probing. However, what 18 00:01:54,480 --> 00:01:59,820 is the kind of connection between those three processes is the fact that you can 19 00:01:59,820 --> 00:02:06,120 prove The top was uncoupling. So Tz Tz Joo Yang began actually with muesli. But 20 00:02:06,120 --> 00:02:13,140 interestingly, you can also probe the Higgs top you can walk up in the photo via 21 00:02:13,140 --> 00:02:20,940 the, the actual diagrams. And you can use all of the three processes to measure two 22 00:02:20,940 --> 00:02:25,320 sets of possible deviation in the precision measurement. And then it's 23 00:02:25,320 --> 00:02:31,020 sensitive to new physics and you can for instance, could result in the framework of 24 00:02:31,020 --> 00:02:37,140 the effective sheet theory which I will show some of them. I start with the singer 25 00:02:37,140 --> 00:02:43,590 topless the analysis performed in the 3d Tom final states with 2016 and 17 data 26 00:02:44,430 --> 00:02:52,590 with relatively low PT of the leptons and obviously you also require to have to have 27 00:02:52,590 --> 00:03:00,540 the leptons of same flavor but it's sign and fitting with z. z was on April This is 28 00:03:02,100 --> 00:03:07,680 so as I said, this is a recording produced. So this has the feature of 29 00:03:07,680 --> 00:03:13,380 having a fallout jet. We go to 4.7 supernova PDT and you can use this fact to 30 00:03:13,380 --> 00:03:19,890 discriminate signal from back on you have on the bottom left an example of 31 00:03:20,640 --> 00:03:27,360 distributions here are the recurring Jetta showing that indeed around two or three in 32 00:03:27,360 --> 00:03:31,530 pseudo IPT you have increased the signal of a bad comment. So that's quite 33 00:03:31,530 --> 00:03:36,600 interesting. A very nice feature of this analysis is the fact that we work with a 34 00:03:36,600 --> 00:03:45,180 lot on identification with ability on the plot the blue triangle is the is the 35 00:03:45,540 --> 00:03:52,980 little ad efficiency in the previous iteration of the analysis, which has the 36 00:03:53,010 --> 00:04:01,590 which which are heavier than evidence and in red and black, you have the new Working 37 00:04:01,590 --> 00:04:06,360 point, you can see that first of all, you have an increase of efficiency now you are 38 00:04:06,360 --> 00:04:12,210 more than 90% for each return strategy, and then the background is reduced by a 39 00:04:12,210 --> 00:04:14,370 factor of four better. So, this is a huge 40 00:04:16,379 --> 00:04:21,719 but still the same, when even if you reduce it, you need now to estimate this 41 00:04:21,719 --> 00:04:27,569 non combat on residual, which is made of basically TT bands projects. So, we use a 42 00:04:27,569 --> 00:04:33,269 fake rate method, we estimate the fake height in our TCGA data, we've loosened 43 00:04:33,269 --> 00:04:38,849 the leptons selection and it's applied in sample we basically you applied the 44 00:04:39,269 --> 00:04:44,939 selection but you you loosen the criteria and Sati percent uncertainty the same. We 45 00:04:44,939 --> 00:04:50,009 also have to control agents for the diversions and for the signal extraction 46 00:04:50,039 --> 00:04:56,849 we use three different categories in news feeds where we use the be some validity 47 00:04:56,849 --> 00:05:04,289 discriminant So, the first region on the left panel It shows the region with where 48 00:05:04,319 --> 00:05:09,929 you have two or three digits among which one digit, it constrains mainly to the 49 00:05:09,929 --> 00:05:15,659 queue as well as our processes, but for TTC, you would have to go to detours 50 00:05:15,659 --> 00:05:21,299 origin which are four digits among which one digit and as well as two digits. And 51 00:05:21,299 --> 00:05:27,749 if you fix maintenance lead the three regions, you would get the results shown 52 00:05:27,749 --> 00:05:33,839 on these slides with a measurement of the cross section agreeing with the Standard 53 00:05:33,839 --> 00:05:43,619 Model prediction and the significance for observing this process is now 8.2 sigma 54 00:05:43,649 --> 00:05:49,559 observe while it was 77.7 expected, so the process is observed. The main 55 00:05:49,559 --> 00:05:54,779 uncertainties here are the non comeback on the JT energy scale it on efficiency 56 00:05:54,779 --> 00:06:00,209 finance the stabilization Institute to scan uncertainty which are the tools as 57 00:06:00,209 --> 00:06:05,249 being related to the modeling and 3d modeling and you have to fully released 58 00:06:05,609 --> 00:06:13,439 the details here, I want to attract your attention on the fact that if you plot the 59 00:06:13,469 --> 00:06:19,499 PT of the symbolism for high values of the BDT you have plenty of events and this is 60 00:06:19,499 --> 00:06:25,529 quite nice. So, now this measurement is made much for differential measurements. I 61 00:06:25,529 --> 00:06:30,479 move to the next analysis which is SR topless gamma performed in the immune 62 00:06:31,019 --> 00:06:37,949 quantity channel with 2016 data to jsoc requested with one tag that digits the 63 00:06:37,949 --> 00:06:43,559 dominant background is dt plus gamma as you can see in blue on the left, there is 64 00:06:43,559 --> 00:06:51,119 also in red, quite some residual background arising from non POM photon and 65 00:06:51,119 --> 00:06:57,059 which is mated with the fake ratio methods where you'll be like different equipment 66 00:06:57,059 --> 00:07:02,519 and usually query to miss identify a nonprofit As upon photon, I forgot to say 67 00:07:02,519 --> 00:07:08,849 that the plot also shows the fallout jets suitability, which is a very good valuable 68 00:07:08,849 --> 00:07:16,469 to increase the discrimination in analysis perform with ability the ability output is 69 00:07:16,469 --> 00:07:21,359 shown on the on the plots on here and indeed default is one of the most 70 00:07:21,359 --> 00:07:27,869 important viable the analysis the extraction of the signal is performed in 71 00:07:27,869 --> 00:07:32,879 the following way. So, there is a template for TT plus gamma, which is a one of the 72 00:07:32,879 --> 00:07:36,899 main backbone is obtained from data in a consolidation with an additional digits. 73 00:07:37,559 --> 00:07:45,059 And you do then a scimitar newsfeeds of the signal to McHugh and also of gamma. So 74 00:07:45,059 --> 00:07:49,769 this led to the first evidence 40 and IQ we've been obsessing if she comes up 4.4 75 00:07:49,769 --> 00:07:55,859 sigma. Well, three sigma was expected and the measurement is already dominated by 76 00:07:55,859 --> 00:08:03,539 the systematics. Genetics can be taking in signal modeling, you can see that within 77 00:08:03,539 --> 00:08:09,749 the uncertainties the predicted cross section is in agreement with dimension. So 78 00:08:09,749 --> 00:08:15,899 I move now to the to less than many this which other photo up and I start with the 79 00:08:15,929 --> 00:08:22,709 first let's say flavor. Where definer states state analyzed has one Lipton or 80 00:08:22,739 --> 00:08:28,949 two leptons of opposite sign. This analysis uses 2016 data. And the strategy 81 00:08:28,949 --> 00:08:33,449 here is to go in the region where there are a lot of jets 82 00:08:34,950 --> 00:08:40,290 because among the top stays on one or two deals are just decaying jets. You can go 83 00:08:40,290 --> 00:08:47,430 to the seven or eight jets region require you have a loud HD of 500 gV. And for the 84 00:08:47,430 --> 00:08:53,760 daily tone, you can go a bit lower in the number of jets. But but this is still the 85 00:08:53,760 --> 00:08:58,860 same kind of strategy. An important ingredient here is the atomic 86 00:08:58,890 --> 00:09:07,590 constructions you minion dogs it's the one with the BDT train with the good let's say 87 00:09:07,590 --> 00:09:14,760 the right assignments among old user facility for Justin that damage arising in 88 00:09:14,760 --> 00:09:20,400 fact from the corrections are needed. So, you see that here most of the time the 89 00:09:20,400 --> 00:09:29,160 background is is a TT ba. But and you are in the region with majors so you not know 90 00:09:29,190 --> 00:09:33,240 know exactly what what's going on here for the signal that you have never measured. 91 00:09:33,720 --> 00:09:40,560 So you need to correct for that and you go in a high jet multiplicity in Region One 92 00:09:40,560 --> 00:09:46,710 Laptop and you can measure a basic scale factors and correct the signal with this. 93 00:09:47,190 --> 00:09:55,470 You also use the sorry the dedicated measurements of teaching me another 94 00:09:55,470 --> 00:10:02,670 measurement existing performance you miss frosty back recipe. And do so, this 95 00:10:02,670 --> 00:10:10,440 component is easily rated using using this measure not at certainty the strategies to 96 00:10:10,440 --> 00:10:16,050 categorizes the number of jetan digits that you feel that is shown on the left 97 00:10:16,050 --> 00:10:22,350 some and even BD T's are constructed four different kinds of agents which are shown 98 00:10:22,380 --> 00:10:30,090 on the on the right using the scarf or the other the tiger many as many drivers of 99 00:10:30,090 --> 00:10:36,210 different times in some valuables formulator and sorry, electrons in the 100 00:10:36,210 --> 00:10:44,880 beaches. results for this analysis are shown on the table. Basically combining SR 101 00:10:44,880 --> 00:10:52,350 and dialects on you can only exclude cross section written and 5.7 times the standard 102 00:10:52,350 --> 00:10:59,580 ngmodel alone. But if you combine with me tips on this goes to effect of sorry to 103 00:10:59,580 --> 00:11:04,980 vote Two times the standard model and politics to the senior sense that you 104 00:11:05,040 --> 00:11:09,090 could measure with the media on analysis alone. I'm speaking to you about the media 105 00:11:09,090 --> 00:11:15,450 companies performed only 16 data, then adding this one little two little sign 106 00:11:15,810 --> 00:11:21,150 improved by 10% and I will show on the next slide, what what became the regional 107 00:11:21,150 --> 00:11:26,880 plan is when we included the fluent So, still here on the one intellectual 108 00:11:26,880 --> 00:11:32,460 autonomy sign, there is a interpretation which is going on if it's up to E. You can 109 00:11:32,460 --> 00:11:37,920 constrain the four Kwok behaviors in dimension six you do some assumption 110 00:11:39,390 --> 00:11:48,720 especially you you want that to those those operators are impacting just surgeon 111 00:11:48,720 --> 00:11:54,930 ation quacks and he just found out the assumption in the DMC stuff. You neglected 112 00:11:54,930 --> 00:11:59,910 to review characters because they do not to be kosher and once you assume 113 00:12:00,480 --> 00:12:06,330 kinematics of disarmer then you can derive the limits on the measured cross section 114 00:12:06,660 --> 00:12:14,820 on the four operators here and you will meet between two and eight t to the minus 115 00:12:14,820 --> 00:12:21,750 two on G with some coefficient. I move now to the last analysis which is the fact 116 00:12:21,750 --> 00:12:29,160 that in the muted tone, by muted tone we mean same sign dialect on or greater than 117 00:12:29,160 --> 00:12:35,790 street it on final states. The function with full on to data against you there is 118 00:12:35,790 --> 00:12:40,470 allows me to PCT a bit less than in the one little two little case and in the 119 00:12:40,470 --> 00:12:45,270 background is different. So previously it was basically TT bar here you can see in 120 00:12:45,270 --> 00:12:53,430 green and bluish gray, that it will be teaching w NT th we've also non negligible 121 00:12:53,820 --> 00:13:01,620 nonpoint back home. The strategy here is to use a multi layered classifiers While 122 00:13:01,620 --> 00:13:05,880 in the previous iteration of Genesis we were just using the code base, which is 123 00:13:05,880 --> 00:13:07,200 each of us as 124 00:13:08,700 --> 00:13:13,350 classifying the events in the law of latency jets and the Jets. We've to 125 00:13:13,350 --> 00:13:21,030 control region for the TV back on this estimated with some collections also from 126 00:13:21,030 --> 00:13:27,030 data. So ASF is a collection from teach about the ties applied to w z simulation 127 00:13:27,510 --> 00:13:35,520 tvV already jets collection visiting in 70% increase in addition it is applied to 128 00:13:35,520 --> 00:13:43,050 teach h w and Z. And then as standout in unmuted on analysis, there is a chart 129 00:13:43,050 --> 00:13:49,200 misidentification background estimated from z data when you flip the chart of one 130 00:13:49,200 --> 00:13:54,600 of the lips on and there is the non complete from Viacom estimated in a way 131 00:13:54,600 --> 00:14:02,610 similar to CQ analysis. We've estimated in the competition On the status of chin, 132 00:14:03,090 --> 00:14:08,310 there is the possibility distribution showing showing nice agreement between 133 00:14:08,310 --> 00:14:14,790 data in general and the observed significance here is a 2.6 sigma. So, 134 00:14:14,790 --> 00:14:22,140 gamma from sweet G's beta is very close in agreement with the Standard Model 135 00:14:22,140 --> 00:14:27,450 prediction of an electricity Pacific. You have on the right the full list of 136 00:14:27,480 --> 00:14:32,010 systematic uncertainties among which the main ones are jet energy scaling 137 00:14:32,010 --> 00:14:36,900 resolution be tagging and of course, the modeling with the turbine is 138 00:14:39,360 --> 00:14:40,050 last. 139 00:14:41,670 --> 00:14:46,740 Yeah, last slide basically before the conclusion is interpretation that we do 140 00:14:46,740 --> 00:14:53,880 with those measurements and important interpretation is related to the topic 141 00:14:53,880 --> 00:15:01,230 sculpting. So, we can also measure it here as I said, using the actual diagram It's 142 00:15:01,230 --> 00:15:08,310 complete one tiny tweaks measurement also not as quite as precise in the result is 143 00:15:08,310 --> 00:15:16,860 shown on the plots and we reach basically Cataclysm done 1.7 95% confidence level. 144 00:15:17,880 --> 00:15:24,270 So, this is this is this is very interesting actually, you can also do also 145 00:15:24,270 --> 00:15:30,390 interpretation like the measuring the person object parameter, which basically 146 00:15:30,390 --> 00:15:36,450 modifies within the framework of EFT. It will modify the Higgs boson propagator and 147 00:15:36,450 --> 00:15:44,190 also coupling to clock in lectins. The value we obtained here as a result is 148 00:15:44,190 --> 00:15:47,640 compatible with your own sensitivity that you could get from off Shilajit 149 00:15:47,670 --> 00:15:52,170 measurements which is interesting. And there are many other interpretation 150 00:15:52,170 --> 00:15:58,290 available in the paper related to dark matter. Two is a bit muddled or h&s isn't 151 00:15:59,940 --> 00:16:06,780 it? coming to my conclusion. So, for those processes, I have presented your 152 00:16:06,780 --> 00:16:13,110 observation of acuity, five messages, remaining improvement in the electron 153 00:16:13,110 --> 00:16:20,640 identification. And I think we will soon go into differential measurements to an IQ 154 00:16:20,700 --> 00:16:27,750 has first evidence and observation is the next obvious goal for the photo cracky see 155 00:16:27,750 --> 00:16:33,150 quite difficult, but we are nearing evidence and we saw that address best 156 00:16:33,660 --> 00:16:41,010 threshold and we can maybe hope foreign observation maybe this is very sensitive 157 00:16:41,010 --> 00:16:45,930 to new physics and I think these interpretations have something to be 158 00:16:45,960 --> 00:16:54,300 pursued. And I have noted here the room Zoom Room for current discussion with 159 00:16:54,540 --> 00:16:59,640 addressing CMS if you want to discuss the contents of your question. 160 00:17:01,560 --> 00:17:09,000 Thank you very much Nicola. So now we have some time to ask questions. Please raise 161 00:17:09,000 --> 00:17:11,310 your hand if you have questions for Nicola. 162 00:17:26,520 --> 00:17:28,650 So we have time for a question. 163 00:17:32,940 --> 00:17:41,550 Okay, I have I see one hand, okay. Oh, now I see to first Francesco. 164 00:17:44,160 --> 00:17:45,870 Introduce yourself once more, please. 165 00:17:46,470 --> 00:17:53,010 Yes, thank you, the Francesco Spano again from Atlas. I have one question more 166 00:17:53,010 --> 00:17:56,310 curiosity in for your one left and opposite sign. 167 00:17:58,980 --> 00:18:05,490 Do you remember I know it's a very complex analysis with lots of inputs and difficult 168 00:18:06,360 --> 00:18:12,300 subtleties and the multi lepton. But do you remember the impact that pattern 169 00:18:12,300 --> 00:18:18,900 showerhead ization has in in the shower and head organization hasn't been analysis 170 00:18:18,900 --> 00:18:25,230 and how it is treated? When you have large number of jets? 171 00:18:25,590 --> 00:18:33,120 Yes, it must have an impact. I agree. For the precise quantitative statement is 172 00:18:33,120 --> 00:18:36,720 difficult for me and I don't remember. Yeah, 173 00:18:37,110 --> 00:18:42,570 I agree. It shouldn't be. It shouldn't be something important. I don't know if 174 00:18:42,570 --> 00:18:43,770 somebody else would like to. 175 00:18:51,930 --> 00:18:53,160 I guess not. 176 00:18:56,490 --> 00:19:00,630 So I see no one raising a hand too. Jimmy 177 00:19:03,750 --> 00:19:05,940 will then to the next question 178 00:19:08,069 --> 00:19:08,819 I see one 179 00:19:10,080 --> 00:19:14,190 please go ahead yep 180 00:19:19,710 --> 00:19:21,630 yes yeah this is similar on this from Atlas. 181 00:19:26,910 --> 00:19:32,040 But then to apply and W crease extract jets for your daughter something like 300% 182 00:19:32,040 --> 00:19:39,060 plus j h eight jets and since you saved for me to leptons you apply some 183 00:19:39,060 --> 00:19:45,360 corrections for a cipher Sir, do you know what is the order of magnitudes of these 184 00:19:45,360 --> 00:19:52,710 equations applied form Do you proceed or extra jets and it's the same order of 185 00:19:52,710 --> 00:19:55,650 magnitude of uncertainty and plane in HS 186 00:19:56,670 --> 00:20:05,310 I think it's not it's not like the BB on It's not 70% I think it's less but Okay, 187 00:20:05,400 --> 00:20:11,850 so here I should I should say that I don't know may have the exact number but you 188 00:20:11,850 --> 00:20:12,750 should be able 189 00:20:14,130 --> 00:20:16,920 of course we would like to hear that it's 30% 190 00:20:18,810 --> 00:20:19,830 I'm not sure 191 00:20:23,880 --> 00:20:30,390 I'm not sure that those 30% that we see in many analogies arise only from to city 192 00:20:30,780 --> 00:20:37,410 basically. And so I don't know if it goes I don't know the precise number but but i 193 00:20:38,160 --> 00:20:47,640 i wouldn't be surprised or that just just so it's exactly 30% 10 194 00:20:47,730 --> 00:20:51,150 Okay, just to say that cuz it's not super sensitive, very conservative, very 195 00:20:52,500 --> 00:20:56,820 separate don't expect it to be at the same bedroom. Yes, as an actress, but yeah. 196 00:20:58,200 --> 00:21:04,200 I mean, we have seen the certain percentage Elsewhere in CMS CGH analysis, 197 00:21:04,260 --> 00:21:09,510 you know? So yeah, 198 00:21:10,110 --> 00:21:14,910 you talk about the 30% certainty on multiple platforms, right. I was just 199 00:21:16,500 --> 00:21:19,500 relieved The question was on teaching w basically. 200 00:21:22,920 --> 00:21:27,630 As far as I understood not only D uncertainty, but you take the correction. 201 00:21:29,310 --> 00:21:30,210 The scale factor. 202 00:21:31,200 --> 00:21:35,820 I think they do have a control region for remember. 203 00:21:36,330 --> 00:21:41,160 Yeah, so I checked that in the trip based analysis. 204 00:21:43,590 --> 00:21:50,460 There is a TT WP Engine. And if you look at the number of events, it's slightly 205 00:21:50,460 --> 00:21:56,790 above in the data relative to the Monte Carlo, but it's like almost Yeah, maybe 206 00:21:56,790 --> 00:22:04,230 even 5%. So I made my guess That is a correction algorithm most of the job to 207 00:22:04,260 --> 00:22:12,840 move the sequence things of tGwU to basically to one in data. You have to push 208 00:22:12,840 --> 00:22:13,560 it. I mean, 209 00:22:14,759 --> 00:22:15,509 now, 210 00:22:16,590 --> 00:22:24,660 is it the only reason of this agreement? What No, sorry, is it the only reason why 211 00:22:25,230 --> 00:22:30,540 is it the only reason explaining this 1.3 factor? I'm not sure. But at least once 212 00:22:30,540 --> 00:22:40,200 you correct yourself, so, you you you go to an agreement between t GW predictions 213 00:22:40,530 --> 00:22:44,130 in the simulation and what you get what you have in this control. 214 00:22:49,230 --> 00:22:54,390 Okay, um, are there more questions for Nicola 215 00:22:56,550 --> 00:22:59,970 and we might have one or Okay, I see one 216 00:23:01,469 --> 00:23:08,819 But that's from I just got a new new question and or Okay. All right. Yeah. 217 00:23:10,260 --> 00:23:16,680 But we have maybe a minute or so, to if anyone has questions to the previous 218 00:23:16,680 --> 00:23:21,150 talks. In principle, we should have some time at the end of the session. We don't 219 00:23:21,150 --> 00:23:25,140 have a lot of time, but one or two minutes if there are questions. 220 00:23:30,930 --> 00:23:32,520 Okay, I see none. 221 00:23:33,780 --> 00:23:36,570 Then I suggest we close this session. 222 00:23:37,950 --> 00:23:42,030 So as you all know, we have another two