1 00:00:02,610 --> 00:00:03,630 Can you see my slides? 2 00:00:04,350 --> 00:00:05,550 Yes. Okay. 3 00:00:06,629 --> 00:00:11,909 Okay. Good afternoon everybody on this presentation, I will talk about the ex 4 00:00:11,909 --> 00:00:17,369 differential measurements for adolescent CMS. So, all the measurements that we 5 00:00:17,369 --> 00:00:22,979 present later are fiducial sections. So, let me introduce this concept here. So, 6 00:00:23,009 --> 00:00:27,539 traditional cross section, our cross section defining a fiducial face space, 7 00:00:27,779 --> 00:00:33,689 which is a kind of reduced phase space based on areola analysis and the detector 8 00:00:33,689 --> 00:00:38,939 acceptance. So, we apply some cut cuts through to level in order to minimize the 9 00:00:38,939 --> 00:00:44,609 extrapolation effect in our analysis and this you can visualize this here in this 10 00:00:44,729 --> 00:00:49,349 sketch on the right following this assumption, the visual cross section of 11 00:00:49,349 --> 00:00:54,569 the most modern independent way to measure Hicks interaction Elysee, but of course, 12 00:00:54,599 --> 00:00:58,229 they come with some limitation for example, if you want to combine two more 13 00:00:58,229 --> 00:01:03,119 channels, you need to include extrapolation to a common Face Face, and 14 00:01:03,119 --> 00:01:08,759 that also some assumption of the potential issue. The kind of quantities that we 15 00:01:08,759 --> 00:01:14,099 unfolded, let's see are related to the Higgs boson kinematics in production the 16 00:01:14,099 --> 00:01:20,789 key variable is the jet produced in association with the Higgs and mixture of 17 00:01:21,089 --> 00:01:29,669 ex kinematics and jets. So, when this level to present the analysis flow, just 18 00:01:29,699 --> 00:01:34,469 more or less control the measurements that are present later. So the first step is 19 00:01:34,469 --> 00:01:38,489 you identify reconstruct a quantity that normally is linked with one to one with 20 00:01:38,489 --> 00:01:44,879 the variable that you want to follow them. So you have to define your meaning, which 21 00:01:44,879 --> 00:01:50,189 is normally based on an expected number of events or directory solution. Then you 22 00:01:50,189 --> 00:01:56,519 have a step called unfolding where we collect our data for our detector effect 23 00:01:56,519 --> 00:02:03,179 like resolution and efficiency And then we have an observable that we use in order to 24 00:02:03,179 --> 00:02:07,949 extract a number of sigonella background events. After that, we have our own for 25 00:02:07,949 --> 00:02:14,459 the cross section on top of this and for the results, we do our interpretations. So 26 00:02:14,459 --> 00:02:18,479 let me start with the first channel. So next for lepton funnel state is the only 27 00:02:18,479 --> 00:02:23,669 channel that we have today for both experiments 114 versus one to one. And 28 00:02:23,669 --> 00:02:30,149 that was just released recently a paper with the legacy paper referred to as we 29 00:02:30,149 --> 00:02:34,319 presented before, this channel as a very well known properties. For example, a 30 00:02:34,319 --> 00:02:41,099 political structure will find a state very high so it'll be around the Higgs peak. It 31 00:02:41,099 --> 00:02:44,279 does an excellent Nvidia muscle resolution. As you can see, in these two 32 00:02:44,279 --> 00:02:49,259 blocks, we have a very nice narrow peak on top of a flat background. And the dominant 33 00:02:49,259 --> 00:02:55,889 background for this channel is the Z production mainly through Q and it's 34 00:02:55,889 --> 00:03:00,989 estimated using the multi Garibaldi in case of CMS In a mixture of data 35 00:03:00,989 --> 00:03:09,209 assignment and MonteCarlo for Atlas the first measurement that I want to present 36 00:03:09,209 --> 00:03:12,839 here is the expected differential cross section, which is one of the most 37 00:03:12,839 --> 00:03:18,089 important variables that we can investigate. Let's see, because it's a 38 00:03:18,089 --> 00:03:24,599 really nice variable in order to probe the global English, we'll know fusion loop in 39 00:03:24,599 --> 00:03:30,569 production, and we can distinguish to let's say, pata region, the very high PT 40 00:03:30,569 --> 00:03:36,269 region, which is very such can be sensitive to any additional particles can 41 00:03:36,269 --> 00:03:41,819 join the rule official loop, but of course, this particular region is not very 42 00:03:42,329 --> 00:03:47,129 interesting index for leptons due to the statistics. And then we have the low 43 00:03:47,129 --> 00:03:54,329 Piketty journal, it's a below 30 gV Where are these this particular face pace is 44 00:03:54,329 --> 00:04:00,359 sensitive to the Yuka gobbling to the Quark BNC and the extra leptin says Very 45 00:04:00,359 --> 00:04:08,039 stronger power to to this particular face base. Here you can see the results on the 46 00:04:08,039 --> 00:04:13,199 left for Atlas on the right for gem So, you can see the black dots that are our 47 00:04:13,229 --> 00:04:17,129 measurements compared to the Standard Model prediction and you can see the 48 00:04:17,189 --> 00:04:22,889 overall there is a very nice agreement with the multilateral expectation sorry 49 00:04:22,889 --> 00:04:29,159 with the funder model prediction of loss in the citizen paper also provides an 50 00:04:29,159 --> 00:04:34,079 interpretation of the treaty spectrum as a function of Kappa bigger policy. And if 51 00:04:34,079 --> 00:04:38,339 you go to consider the most modern inventor shanaar you just considering the 52 00:04:38,339 --> 00:04:42,899 shape it is distortion as a function of these two parameters, we can put an upper 53 00:04:42,899 --> 00:04:50,759 limit at the level of plus or minus to Alpha Kappa see. other variables that we 54 00:04:50,759 --> 00:04:55,049 can measure index over laptops are for example, and three four, which is the most 55 00:04:55,049 --> 00:04:59,339 of the sub leading pair. It's a very important variable of issue consider that 56 00:04:59,339 --> 00:05:03,089 too many people So contribution can distort, distort this 57 00:05:04,710 --> 00:05:09,840 distribution. For example, we know that some HDL graders can affect this 58 00:05:09,840 --> 00:05:13,710 particular variable. But at the same time, we are also starting to be sensitive to 59 00:05:13,710 --> 00:05:17,820 some effects predicted by the Standard Model, for example, final state 60 00:05:17,820 --> 00:05:19,530 interference in the 61 00:05:19,740 --> 00:05:20,520 44 new. 62 00:05:21,900 --> 00:05:26,070 Here on the left, you can see the results for mt four and you can see that it's a 63 00:05:26,070 --> 00:05:31,410 very nice agreement with the center model on there, I thought there is another very 64 00:05:31,410 --> 00:05:37,230 important variable which is number of jets for CMS. This variable is very important 65 00:05:37,260 --> 00:05:40,860 because it's very sensitive to the production well composition is used a lot 66 00:05:40,860 --> 00:05:46,050 in our multivariate analysis to distinguish the production model and 67 00:05:46,050 --> 00:05:53,340 senior versus background that is also sensitive to the actual image. With 68 00:05:53,340 --> 00:05:59,160 increased luminosity, we are also able to push even more than double the federal 69 00:05:59,160 --> 00:06:03,180 psychosexual From here we can see an example of two of them on the left we have 70 00:06:03,660 --> 00:06:09,150 a number of jets and the right to diversity stability in all of them sorry I 71 00:06:09,150 --> 00:06:12,510 didn't mention before but for all these measurements next for laptops is still 72 00:06:12,510 --> 00:06:18,030 statistically dominated so they get an order this mainly limited by the 73 00:06:18,030 --> 00:06:22,860 statistics on the with the ram three and later with a luminosity we'll be able to 74 00:06:22,860 --> 00:06:27,210 push even more granularity to this measurement something that he doesn't 75 00:06:27,210 --> 00:06:29,670 fully limit which is our detector resolution. 76 00:06:33,300 --> 00:06:36,180 No gamma which is 77 00:06:37,470 --> 00:06:41,370 seven shot channel I want to present today for this channel we have results for 78 00:06:41,370 --> 00:06:48,750 another set 114% have been for CMS 36. What so this channel is fleeting 79 00:06:48,750 --> 00:06:53,340 extractable from a state but lower a server be compared to different laptop 80 00:06:53,340 --> 00:06:58,380 from a state. It is also very excellent. What a monster resolution on the level of 81 00:06:58,380 --> 00:07:02,910 one 2% and the next beige background is they want to know gamma gamma production 82 00:07:02,910 --> 00:07:12,960 which is estimated from the data side and the other kind of analytic fit. Here I 83 00:07:12,960 --> 00:07:18,510 want to present the results for x gamma gamma on the left you have the expected 84 00:07:18,510 --> 00:07:23,820 distribution of 140 investment to bond for others. On the right you have the number 85 00:07:23,820 --> 00:07:29,700 of digits for CMS a 36 inverse font, but now you can see there is a good agreement 86 00:07:29,730 --> 00:07:35,700 between for both measurements in both experiments. We don't see any significant 87 00:07:35,700 --> 00:07:39,870 deviation with respect to the standard model but important to say they also even 88 00:07:39,870 --> 00:07:44,490 if we wonder 14 restaurant of biotics for gamma gamma is also dominated by 89 00:07:44,490 --> 00:07:49,560 statistical uncertainty so to increase the luminosity, we'll put salaat to this 90 00:07:49,560 --> 00:07:54,840 channel in order to improve the measurements. Others provide also the 91 00:07:54,840 --> 00:08:00,270 interpretation of cap of the PT distribution as a functional capacity. V 92 00:08:00,630 --> 00:08:05,310 and the V e take into account to the most model independent shannara we're just 93 00:08:05,310 --> 00:08:11,190 considering the distortion a function is too complex we can put an upper limit at 94 00:08:11,190 --> 00:08:20,280 the level plus or minus 20 units in capacity and 95% confidence level. Others 95 00:08:20,280 --> 00:08:26,280 did also nifty interpretation of future cross sectional material try to 96 00:08:26,310 --> 00:08:32,430 constraints with so coefficient of operator dimensional six using five 97 00:08:32,430 --> 00:08:37,260 observables at number of jets and the properties already mentioned before why 98 00:08:37,260 --> 00:08:44,430 they're important mgg which is important to announce to the VBA for GMO data for j 99 00:08:44,430 --> 00:08:50,490 which is a CP sensitive variable and leading GPT which is which provides 100 00:08:50,520 --> 00:08:56,160 complimentary information to PT a number of jets. Here on the right you have the 101 00:08:56,160 --> 00:08:59,970 eight couplings that have been investigated in summary brought to justice 102 00:09:00,000 --> 00:09:04,710 See that when you have on the x axis equal to zero is the standard model. As you can 103 00:09:04,710 --> 00:09:10,260 see all the upper limit that we can put on these parameters are well consistent with 104 00:09:10,260 --> 00:09:16,230 the Standard Model assumption. This plot is made basically fitting one coefficient 105 00:09:16,380 --> 00:09:21,450 at a time as setting the other efficient to zero. And then we will have more 106 00:09:21,450 --> 00:09:29,370 details on the talk on Friday by Nikita. The last channel that I want to mention is 107 00:09:29,430 --> 00:09:35,160 next to ww for this channel, we have just a measurement from CMS 114. That's 108 00:09:35,160 --> 00:09:40,590 rentable. The property of this channel sought a lot of adventure issue compared 109 00:09:40,590 --> 00:09:45,150 to gamma gamma z, but the fun of cities not fully constructible due to the 110 00:09:45,150 --> 00:09:51,840 presence of neutrinos. And the main background for these channels are WWDC, 111 00:09:51,840 --> 00:09:56,490 but production where the ships are evaluated the MonteCarlo and the overall 112 00:09:56,490 --> 00:09:59,970 normalization of the Babylon the statements from data one through eight 113 00:10:00,000 --> 00:10:11,040 Let's see, I must provide two measurements one was using the x two w w, the PT of the 114 00:10:11,040 --> 00:10:14,760 Higgs on the left and the number of the Jets from the right as you can see, in 115 00:10:14,850 --> 00:10:21,000 both cases, we have a very good agreement with the Standard Model expectation, just 116 00:10:21,000 --> 00:10:26,370 to mention a small difference with respect to gamma, gamma and z in this particular 117 00:10:26,370 --> 00:10:32,160 channel, we there is a two dimensional fit in each bin of the distribution, whether 118 00:10:32,220 --> 00:10:38,400 it is transfer mass versus muscle developed system in order to announce the 119 00:10:38,400 --> 00:10:44,610 separation between a signal background. And then as you can see, the granularity 120 00:10:44,610 --> 00:10:50,940 of the PT distribution is not so fine like gamma gamma z given the lower resolution 121 00:10:50,940 --> 00:10:55,680 in PT, and also the higher background but it's very important to notice that this 122 00:10:55,680 --> 00:11:00,450 channel at the very high PT so let's say about 200, gv, and the very high jet 123 00:11:00,450 --> 00:11:06,810 multiplicity above three gv sorry about above three jets, it's very competitive 124 00:11:06,870 --> 00:11:11,070 with a gamma gamma. So, this channel will have very important weight 125 00:11:11,580 --> 00:11:13,110 and the final combination 126 00:11:17,250 --> 00:11:23,070 now let's move to the bank differential section. So, as I said before in order to 127 00:11:23,070 --> 00:11:27,240 combine the two or more channels we need to accept it Come on face to face it 128 00:11:27,240 --> 00:11:31,830 normally is considered the full face pace. This means that we need to add some other 129 00:11:31,830 --> 00:11:38,820 less some assumption and also we increase our 2d uncertainties with respect to the 130 00:11:38,820 --> 00:11:43,620 future cross section measurements will be we need also to take into account for the 131 00:11:43,620 --> 00:11:49,110 uncertainties and adventure issue itself. Here on the left we have the distribution 132 00:11:49,110 --> 00:11:54,660 as a function sorry, the PTT combination of four outlets when we combine gamma 133 00:11:54,660 --> 00:12:00,000 gamma zz using a C with one on the fourth inverse Phantom or there is a variable 134 00:12:00,000 --> 00:12:03,510 consecutive months with a standard model that we value especially high at the level 135 00:12:03,510 --> 00:12:11,580 of 80% of the central plot, we have the CMS distribution of 36%. But when the 136 00:12:11,580 --> 00:12:17,070 combination is done using a gamma, gamma z and x to be the bar, you can see some 137 00:12:17,220 --> 00:12:22,140 contribution to the bar in the very high density region. And then here on the right 138 00:12:22,170 --> 00:12:30,210 the interpretation of the distribution using the ship distortion adventure ratio 139 00:12:30,210 --> 00:12:34,470 effects. And you can see all these measurements are very compatible with the 140 00:12:34,470 --> 00:12:42,180 Standard Model prediction. Just to conclude the So, we have already several 141 00:12:42,180 --> 00:12:48,270 differential resection of the Higgs boson performed by other CMS, all of them are 142 00:12:48,270 --> 00:12:53,190 still statistically dominated. We observe a very good agreement between the Standard 143 00:12:53,190 --> 00:12:59,700 Model prediction and experimental results is confirmed also with our interpretation 144 00:12:59,700 --> 00:13:04,620 on top According to the results, and still many new results with the full on two data 145 00:13:04,620 --> 00:13:08,730 set to come, so please stay tuned them. Thanks a lot. 146 00:13:15,420 --> 00:13:22,620 Thank you for this quite comprehensive set of results. So let's take questions from 147 00:13:22,620 --> 00:13:23,280 the audience. 148 00:13:41,880 --> 00:13:46,590 So I don't I don't see any questions, so maybe I can take the chance to ask one. 149 00:13:47,550 --> 00:13:56,940 When you talk about the fact that the data statistics limit the been with us in these 150 00:13:56,940 --> 00:14:04,500 quantities, do you have a feeling at which time labor's it's not needed anymore to to 151 00:14:04,500 --> 00:14:13,440 go to find out means to test to see at least the more widely known coupling 152 00:14:13,470 --> 00:14:19,920 deviations matter which level is it it's not worth any more to go in find out 153 00:14:19,920 --> 00:14:25,530 meanings phrases for the single by single differential cross section and then it's 154 00:14:25,680 --> 00:14:31,110 it's rather it takes more importance to move to to double differential 155 00:14:31,110 --> 00:14:31,830 measurements. 156 00:14:33,240 --> 00:14:34,950 So for example 157 00:14:36,809 --> 00:14:37,799 okay she wants to the 158 00:14:39,630 --> 00:14:46,050 deputy distribution for laptop system channel for Atlas we already pushed the 159 00:14:46,560 --> 00:14:53,100 inbounder is a lot and we start to have final billing with stuff also strong 160 00:14:53,100 --> 00:14:58,200 correlation between the various measurements is something that in 161 00:14:58,200 --> 00:15:06,810 principle you would like to To avoid and then the on the double differential 162 00:15:06,810 --> 00:15:08,760 variables. Here we are. 163 00:15:10,380 --> 00:15:11,370 Still, I mean, 164 00:15:12,389 --> 00:15:17,159 gamma gamma is less problem with respect to for laptops. But in general when you 165 00:15:17,159 --> 00:15:23,339 start to increase the number of jets and you're set to push a lot to the deputy 166 00:15:23,339 --> 00:15:29,279 Ranger you go in very remote face base we're here just a matter of taking data 167 00:15:29,279 --> 00:15:34,769 because the in some cases we have empty bins, we just have to put upper limits 168 00:15:34,769 --> 00:15:35,039 there. 169 00:15:39,240 --> 00:15:46,170 Okay, thank you. So I don't see any additional questions I propose to move on 170 00:15:46,170 --> 00:15:51,480 to the next presentation. That is about differential theory predictions.