1 00:00:02,129 --> 00:00:07,439 Yes, yes. And you're decently in full screen. So can you just try to go to the 2 00:00:07,439 --> 00:00:09,209 next slide to see if it switches? 3 00:00:12,599 --> 00:00:17,999 Yes, perfect. Okay. Okay, great. Thanks. Thanks for the introduction. First of all, 4 00:00:17,999 --> 00:00:21,929 I'm very glad to present this talk at this conference and I hope it will be clearing 5 00:00:21,929 --> 00:00:26,699 this for some today I'm going to speak about the interpretation of Atlas and CMS 6 00:00:26,699 --> 00:00:34,259 measurements is takes us in the ft. So, a few words about the simplified template 7 00:00:34,289 --> 00:00:41,219 sections. So if access is the form at which come on the BFS and CMS results are 8 00:00:41,219 --> 00:00:47,669 presented. So they have few advantages. So they are designed to maximize the 9 00:00:47,669 --> 00:00:52,229 experimental sensitivity and at the same time, minimize a theoretical uncertainty. 10 00:00:53,999 --> 00:00:59,819 By doing that, I think measurement we can insulate possible PSM effects because they 11 00:00:59,819 --> 00:01:05,939 are For different models, they are predicted in different traditional space 12 00:01:05,939 --> 00:01:10,439 regions also suitable for the global combination of different production 13 00:01:10,439 --> 00:01:14,879 channels and so on. But the limitation is that they are not fully official and 14 00:01:14,879 --> 00:01:20,789 bursty. And they doesn't take into account the things they can change. So during 15 00:01:20,789 --> 00:01:26,579 round one, we use so called stage one and stage measurements, which are only 16 00:01:26,579 --> 00:01:32,639 reference to the production mode. Well, further onto we also introduce additional 17 00:01:32,639 --> 00:01:39,269 kinematic bands. So this is so called stage one. And the whole idea is that we 18 00:01:39,269 --> 00:01:45,959 can have by analyzing the whole random data set with all the kitchen production 19 00:01:46,139 --> 00:01:52,739 channels we can to get access to the information, the ultimate it's been really 20 00:01:53,129 --> 00:01:59,999 nice to access the transcript. So just an example here is the measurements of this 21 00:01:59,999 --> 00:02:06,179 TMS for leptin analysis. So, there is a stage stage one results with a lot of 22 00:02:06,749 --> 00:02:12,209 different things actually, in this particular example 22 different states or 23 00:02:12,209 --> 00:02:16,559 stage one bins, representative and production modes, different number of 24 00:02:16,559 --> 00:02:21,989 chests that transfer momentum and so on. So, yeah, by measuring all this stuff, we 25 00:02:21,989 --> 00:02:26,939 can proceed with the interpretation of this results. Sure, surely quite 26 00:02:26,939 --> 00:02:31,949 straightforward. And for more details about these measurements for different 27 00:02:31,949 --> 00:02:38,489 calibration and analysis, the result can be found in the talks by William Stephen. 28 00:02:39,419 --> 00:02:48,089 Tuesday and Firstly, secondly, so, we'll proceed to the ft. So, the effectual 29 00:02:48,179 --> 00:02:54,809 effective field theory is quite useful theoretical instrument for interpretating 30 00:02:55,019 --> 00:03:00,449 effects as measured measurements. So, we can consider the effect differential Which 31 00:03:00,449 --> 00:03:10,529 is supplemented by new operators of higher dimensional vectors. So, here the 32 00:03:10,529 --> 00:03:16,109 operators themselves to see is division for some coefficients and considering the 33 00:03:16,109 --> 00:03:21,599 cross section parameterization we can I can express it like Standard Model cross 34 00:03:21,599 --> 00:03:28,169 section plus the interference term soco linear term and the pure bsm contribution 35 00:03:28,169 --> 00:03:32,879 which is referred to as a quadratic and by destructing the ratio to the standard 36 00:03:32,879 --> 00:03:39,899 model can obtain the parameterization like this in which eight MBR partitions are not 37 00:03:40,409 --> 00:03:46,289 dependent on the definitions themselves and they're determined from the MonteCarlo 38 00:03:46,289 --> 00:03:52,649 simulation and this is actually used in the analysis by doing the attentive 39 00:03:52,649 --> 00:03:59,219 prediction. Okay few words about the basis so considering the effective for grand 40 00:03:59,219 --> 00:04:08,249 chance, we can Perform, we can present the results in by several different ways. So, 41 00:04:08,249 --> 00:04:12,929 the complete and non redundant set of higher dimensional operators of the 42 00:04:13,139 --> 00:04:19,139 particular location from so called EFT basis. So for example, and considering the 43 00:04:19,139 --> 00:04:26,879 expected for graduation, we can see a part of CIP evaluating the breeders good fit 44 00:04:26,879 --> 00:04:34,559 here, and the 50 phases, one of the basics expect for Crimson coats the seal phases 45 00:04:34,919 --> 00:04:40,949 are considering semi empty Lagrangian, and there's also basis spaces and several 46 00:04:41,039 --> 00:04:47,519 others. So, things that underlying this slide are actually used in the analysis 47 00:04:47,519 --> 00:04:53,519 I'm going to present today and, in some cases, it is necessary to use only a 48 00:04:53,519 --> 00:04:59,039 subset of few operators for example, as usually done in the HPD interaction 49 00:04:59,039 --> 00:04:59,669 studies. 50 00:05:00,989 --> 00:05:07,289 So this is an effective from the dude usually used by the CMS in their analysis 51 00:05:07,289 --> 00:05:12,359 and they're only several operators but they parameterize whole PHP interactions 52 00:05:13,139 --> 00:05:19,529 concerning the leading in terms of the separators. Okay, so moving to the 53 00:05:19,529 --> 00:05:25,229 results, there is a nice set of results and with the run to data, and first of 54 00:05:25,229 --> 00:05:30,419 all, we have a bunch of results related to the DB channel measurements from Atlas. 55 00:05:30,419 --> 00:05:37,349 So, here is the first analysis which we use the 18% the burn of the run to data. 56 00:05:38,099 --> 00:05:46,919 So, we measure the stakes cross sections over different bits of the 57 00:05:48,360 --> 00:05:53,040 transfer momentum of your emotions. So 58 00:05:54,690 --> 00:06:00,660 after that we interpret them in the terms of basis is always the operator symbols 59 00:06:00,660 --> 00:06:05,700 and coefficients. And on the table on the right, we can see the update expected and 60 00:06:05,700 --> 00:06:12,000 observed limits, they awesome petitions. So the first row correspond to the linear 61 00:06:12,000 --> 00:06:18,750 plus quadratic terms. And while the second one respond only to linear term, I mean 62 00:06:18,750 --> 00:06:23,790 the interference plus the European contribution. So you can see what's the 63 00:06:23,790 --> 00:06:29,550 difference between them. And that's what we have for the 18 versus the band. But 64 00:06:30,600 --> 00:06:37,290 this point, we didn't see any disagreement with the standard model. This analysis was 65 00:06:37,290 --> 00:06:42,840 riddled with the whole run to dataset, just this slide. So it's now on how big 66 00:06:42,840 --> 00:06:48,000 now 39% above by adding additional statistics were increased the most 67 00:06:48,000 --> 00:06:55,020 interesting category, utter hate transfers momentum, and then I'll perform DFT 68 00:06:55,020 --> 00:07:00,000 interpretation in terms of where somebody is. So we have different operators defined 69 00:07:00,000 --> 00:07:07,170 coefficients and the very new results which are only approved this week 70 00:07:07,860 --> 00:07:14,340 concerning the linear and linear plus quadratic limitations on the boson 71 00:07:14,340 --> 00:07:19,650 coefficients. And again, nothing is there's no deviation from the Standard 72 00:07:19,650 --> 00:07:25,770 Model, observe this point of view. So there is another set of these 73 00:07:25,770 --> 00:07:32,940 measurements. But more interesting in terms of PSM search, this is a boosted HPP 74 00:07:32,940 --> 00:07:38,850 analysis. Again, they assess the associated present production came to BP. 75 00:07:39,420 --> 00:07:46,800 In this analysis, we have additional dance with higher transfers momentum, and again 76 00:07:46,800 --> 00:07:53,040 using the personal basis on the interpretation, and that's great, but you 77 00:07:53,040 --> 00:07:57,720 can see the limits are updated again critical linear and linear quadratic 78 00:07:57,990 --> 00:08:06,420 hypothesis. Again, results are in agreement with this time. The results of 79 00:08:06,420 --> 00:08:13,920 this previous analysis will be published very soon, the whole papers Okay, moving 80 00:08:13,920 --> 00:08:19,620 to the 15 measurements and for letson channel There is also set of nice new 81 00:08:19,620 --> 00:08:28,500 results from Atlas consulting for left and final state. So, in this case, again using 82 00:08:28,530 --> 00:08:36,930 the same EFT formalism so there's a list of operators in this case, we're not 83 00:08:36,930 --> 00:08:42,960 considered only sip even as previously but also CP up and using the quadratic terms 84 00:08:43,410 --> 00:08:48,240 taking into account as well. On the left bar, you can see how the acceptance 85 00:08:48,240 --> 00:08:54,600 correction modifies the scans or the test statistics. So the acceptance corrections 86 00:08:54,600 --> 00:09:00,720 quite significant in this analysis and on the center part, you can see Difference 87 00:09:00,720 --> 00:09:02,610 between expected and observed 88 00:09:03,959 --> 00:09:07,229 considering one particular city operators 89 00:09:08,639 --> 00:09:15,449 here's the two dimensional scans over Boston coefficients. So the center you see 90 00:09:15,449 --> 00:09:22,889 to the bus, it's kind of strange shapes, but this strangeness appears again due to 91 00:09:22,889 --> 00:09:31,139 the acceptance corrections which as I said is quite significant. But this this table 92 00:09:31,139 --> 00:09:39,059 you can see the observed best fit for all these six cases and the details. Again, 93 00:09:39,089 --> 00:09:44,819 everything is expensive in this data model. Also, there is a set of one 94 00:09:44,819 --> 00:09:52,949 dimensional IDs assuming all others, yes and parameters are fixed to zero. So yeah, 95 00:09:53,039 --> 00:10:00,509 there is a setup for us given and secure payments on the most efficient and Again 96 00:10:00,509 --> 00:10:04,589 everything is in agreement with the Standard Model, no deviation is observed. 97 00:10:06,509 --> 00:10:10,319 Okay moving to the combine CMS measurements which Trenton already 98 00:10:10,319 --> 00:10:15,419 mentioned. So, there was a set of signal strength measurement of the different 99 00:10:15,419 --> 00:10:22,199 production mode and decay modes. We use the effects engine in order to 100 00:10:22,199 --> 00:10:31,079 parameterize and search for possible physics. So, here is the combined combined 101 00:10:31,079 --> 00:10:36,719 plot with the production mode, the horizontal axis and the became out of the 102 00:10:36,719 --> 00:10:42,569 vertical axis estimate sigma straights, which, again in agreement with a standard 103 00:10:42,569 --> 00:10:49,469 model. Yeah, and here's the interpretation. So, the strong part would 104 00:10:49,469 --> 00:10:56,309 be parameter values and there's exact numbers. So, in the first row of results 105 00:10:56,309 --> 00:11:02,189 correspond to the high profile scans. While not Albeit two parameters are 106 00:11:03,599 --> 00:11:09,299 varying simultaneously well in the second column, we have only varying one ESM 107 00:11:09,299 --> 00:11:15,599 parameter and and others seem to be fixed to the standard model and so, in this case 108 00:11:15,629 --> 00:11:22,619 only CPR in terms are taking into account your parameters are neglected, because 109 00:11:22,679 --> 00:11:27,719 they are not presented to each other and the quadratic terms are all submitted and 110 00:11:27,719 --> 00:11:33,329 the assumed to be small. So, again in this case no deviation from Assam is observed 111 00:11:33,569 --> 00:11:40,919 in a nice and consistent hassle moving forward. There was two measurements in the 112 00:11:40,919 --> 00:11:48,329 gamma gamma channel from Atlas. So, the was the differential visual cross section 113 00:11:48,329 --> 00:11:52,799 measurements and for the for the interpretation use the differential 114 00:11:52,799 --> 00:11:57,629 perspective cross section information. The interpretation was done in two phases on 115 00:11:57,629 --> 00:12:04,409 the scope formulation The second one is Send me a bit different parameters and 116 00:12:04,409 --> 00:12:11,909 consider we consider CPU and efficiency yet. So on the left side you see the two 117 00:12:11,939 --> 00:12:19,979 dimensional scans, which reps are by using the differential resections. And then the 118 00:12:19,979 --> 00:12:25,469 remember this model here is actually the differential cross section because you for 119 00:12:25,469 --> 00:12:30,749 the interpretation, so it's two transfers momentum, gamma gamma, and we can check 120 00:12:31,259 --> 00:12:37,799 the agent mass, the number of jets and those the fire gj. And here is the one 121 00:12:37,799 --> 00:12:45,509 dimensional scans in corresponding to different basis. So everything is nice in 122 00:12:45,509 --> 00:12:52,889 terms of agreement with the Standard Model, so we get nice limits to basis. And 123 00:12:52,889 --> 00:12:58,799 last point I'm going to mention is that the total measurement from CMS which was 124 00:12:58,799 --> 00:13:05,519 combined with it For TMS analysis, we are considering the gf VP of production. In 125 00:13:05,519 --> 00:13:12,449 this case, we're using the effective amplitude in order to parameterize the HIV 126 00:13:12,449 --> 00:13:19,499 interactions. So, there is a supplementary plot for considering different analysis, 127 00:13:19,499 --> 00:13:27,179 combine them all together and see the actually the various of the DSM, the 128 00:13:27,179 --> 00:13:33,719 assemble some captions, limitations for that. So by performing these steps, help 129 00:13:33,719 --> 00:13:40,469 us express an analysis, get the observed and expected limits on the extra effective 130 00:13:40,469 --> 00:13:49,259 cross section. And by interpreting them, we just got the limits on the parameters 131 00:13:49,319 --> 00:13:54,449 of these given unsecured bsm infection, and also the face of this particular 132 00:13:54,449 --> 00:14:01,619 issue. Again, yeah, just as I mentioned again, Everything is an agreement. 133 00:14:03,689 --> 00:14:10,289 So we have a bunch of new results, new interpretation results. So we got a lot 134 00:14:10,289 --> 00:14:16,529 of, we get more more strict limits on the Wilson coefficients in different bases, 135 00:14:16,529 --> 00:14:22,619 different production indicate channels, we do perform good job and noise abatement 136 00:14:22,679 --> 00:14:27,959 and everything. From the point of view, everything that we see now is very good 137 00:14:27,959 --> 00:14:33,359 agreement and the standard model. So right now there is nothing there is no traces of 138 00:14:33,359 --> 00:14:38,159 any discrepancy. But we hope that in the nearest future, we'll see something 139 00:14:38,219 --> 00:14:38,669 exciting. 140 00:14:40,110 --> 00:14:42,600 That's it. That's all from our brain. Excellent. 141 00:14:43,830 --> 00:14:48,690 Thanks a lot, Nikita for the store closures kind of the experimental side of 142 00:14:48,690 --> 00:14:52,680 our session and time for question. There is one from Giovanni 143 00:14:55,200 --> 00:15:02,520 Yes, I said In fact, three but actually related questions on the To give you bar 144 00:15:02,550 --> 00:15:09,810 EFT fits. So first Are you fitting the parameters one at a time or soon as 145 00:15:09,840 --> 00:15:11,700 possible? Yes yes 146 00:15:11,700 --> 00:15:12,540 one at a time. 147 00:15:13,170 --> 00:15:22,230 Then you're doing both linear and linear plus quadratic but the parameterization is 148 00:15:22,230 --> 00:15:32,730 extracted with just interference or also with the the, the quadratic term even in 149 00:15:32,730 --> 00:15:36,900 the in the model for similar when you compute them, 150 00:15:37,200 --> 00:15:41,820 so all for the linear we only use the interference term Well, for the linear 151 00:15:41,850 --> 00:15:47,940 plus quadratic, we also include the the next term, just proportional to one to 152 00:15:48,120 --> 00:15:51,420 four degree. Okay? 153 00:15:52,290 --> 00:16:00,690 And then I will only be syncing wersal basis. Open it also changed Some of those 154 00:16:00,690 --> 00:16:02,430 operators also probably changed. 155 00:16:03,510 --> 00:16:04,890 Also things that are not 156 00:16:07,259 --> 00:16:14,549 these only changed the Higgs couplings, or they would potentially also change. Any 157 00:16:14,549 --> 00:16:19,949 electroweak coupling and class also potentially the backgrounds is CBH BB, 158 00:16:20,069 --> 00:16:25,049 some of them to mean you use at least tapes from the gondola. So, 159 00:16:25,199 --> 00:16:31,589 yeah, that's very good question. I actually I can speak for example for ch 160 00:16:31,589 --> 00:16:39,269 web, which in prolactin case in this modifies a bit these is good ground. But 161 00:16:39,359 --> 00:16:45,059 there was an estimation concerning the range of the parameters we try to use, so 162 00:16:45,059 --> 00:16:47,459 this shouldn't be taken into account. 163 00:16:48,930 --> 00:16:49,890 That's a 164 00:16:49,890 --> 00:16:50,520 good question. 165 00:16:53,580 --> 00:16:57,480 But just to be clear, the current result only consider modification to the 166 00:16:57,480 --> 00:17:00,480 explanation Yes. 167 00:17:05,580 --> 00:17:11,220 Oh at least I can speak for for 10 analysis for the BB which 168 00:17:12,539 --> 00:17:17,969 I think is the same but just better to double check. I was speaking for the BB 169 00:17:20,400 --> 00:17:23,370 Okay, more time for questions 170 00:17:30,630 --> 00:17:32,580 okay if not