1 00:00:00,030 --> 00:00:01,020 Okay, perfect. Thank you. 2 00:00:02,490 --> 00:00:07,530 So thanks a lot for the invitation and the opportunity to talk at this conference. 3 00:00:08,970 --> 00:00:18,300 I'm presenting here results for and web transformation for j SPG. With a bita on 4 00:00:18,300 --> 00:00:23,100 the on the on the hottest jet video the hottest jet just based on this work with 5 00:00:23,370 --> 00:00:34,050 with your money and and so, I have just a short introduction as the heat transfer 6 00:00:34,080 --> 00:00:38,280 momentum is an observer which is particularly interesting both from a 7 00:00:38,310 --> 00:00:43,410 theoretical and experimental point of view, it is relatively easy to measure and 8 00:00:43,410 --> 00:00:49,320 it is sensitive to you can be sensitive to new physics effects such as logical 9 00:00:49,320 --> 00:00:57,900 couplings or effects coming for anomalous treena couplings and what is done 10 00:00:58,020 --> 00:01:04,560 typically to increase the The sensitivity and to to be able to study in great detail 11 00:01:04,560 --> 00:01:09,960 the properties of the of the Higgs boson is to divide the experimental analysis 12 00:01:09,960 --> 00:01:15,960 into into different generations according to the number of objects recorded for each 13 00:01:15,960 --> 00:01:21,840 event as we see for instance in this Atlas is Atlas plot. And this requires a 14 00:01:21,840 --> 00:01:27,450 description of the of the transit momentum of the optics in the double differential 15 00:01:28,080 --> 00:01:32,820 distribution as we are also differentiation over the direction of the 16 00:01:32,880 --> 00:01:37,980 object. So, what is typically done in the in the analysis is to compare the 17 00:01:37,980 --> 00:01:43,290 theoretical prediction to compare the experimental results with theoretical 18 00:01:43,290 --> 00:01:49,020 prediction with any low class Bhattacharya accuracy. Although in this industry we'll 19 00:01:49,020 --> 00:01:55,320 discuss Hicks. This recent comments I want to stress can be also be applied to either 20 00:01:55,320 --> 00:02:00,810 an analysis such as VH muscle mass production, the limit of Ela plus 21 00:02:00,810 --> 00:02:07,410 publisher accuracy is that as we recap briefly in this talk, there, there are 22 00:02:07,410 --> 00:02:11,040 situations where there are a lot large lots appearing in these distributions. 23 00:02:11,520 --> 00:02:17,400 And, and one my question whether the bottom shower level is is is enough to to 24 00:02:17,400 --> 00:02:23,760 achieve a good description of this of the champions and this talk will focus on the 25 00:02:23,760 --> 00:02:29,040 on the zero jet team. So, with the beanie, which the deputy of the hardest jet is is 26 00:02:29,040 --> 00:02:33,240 lower than a certain threshold in his analysis, it is set to 30 gV for instance. 27 00:02:33,630 --> 00:02:38,310 And typically, such such features are enforced either to announce the heat 28 00:02:38,310 --> 00:02:48,060 signal or a specific channel or just as in the context of of the cross sections. So, 29 00:02:48,060 --> 00:02:53,220 as as I said this in this, in this sprint there are large log rings appearing that 30 00:02:53,250 --> 00:02:58,950 despite the convergence of the of the fixer of the prediction there are three 31 00:02:59,490 --> 00:03:04,650 lines Have lots that does appear specifically in this in this region the 32 00:03:04,920 --> 00:03:10,440 there are logs of the of the trust momentum. So, when the ratio of the of the 33 00:03:10,440 --> 00:03:15,900 beauty of the sheets and the rest of these is large, the article section is the 34 00:03:16,260 --> 00:03:24,600 result is not reliable anymore goes to minus infinity at any low and there are 35 00:03:24,630 --> 00:03:30,900 large gap libraries as the Ito which is about 30 gV is reasonably smaller than 36 00:03:30,900 --> 00:03:35,790 than the mass of the of the Higgs and around the shoulder, when the beauty of 37 00:03:35,790 --> 00:03:38,910 the Higgs and the beauty of the jet are are commensurate, there are additional 38 00:03:38,910 --> 00:03:44,550 locks that causes this these instabilities. So one has to resort to a 39 00:03:44,550 --> 00:03:51,000 lot of reservation to tourism the dis dislodge tropics. And as an example, we 40 00:03:51,000 --> 00:03:55,860 focus on the on the on the transit momentum, which is particularly delicate 41 00:03:56,790 --> 00:04:02,430 quantity as as it is a vectorial variable. So, there are two different mechanisms 42 00:04:02,430 --> 00:04:07,500 that lead to a to a to a system which the heat can have as well. So, there might be 43 00:04:07,890 --> 00:04:14,760 several radiations with the commensurate smoke at such that the heat that is 44 00:04:14,760 --> 00:04:20,610 recalling against them as also as more PT. But there are also other configuration in 45 00:04:20,610 --> 00:04:27,090 which there are different jets being emitted different parts being emitted with 46 00:04:27,120 --> 00:04:33,540 reasonably large KT and the which which balance and cancel each other such that 47 00:04:33,570 --> 00:04:40,650 the heat transfer meant to me is more even when you're far away from the pseudo limit 48 00:04:40,650 --> 00:04:45,660 when all the ancient documents right as it turns out, that is what PT does is the 49 00:04:45,660 --> 00:04:50,790 second mechanism that that that dominates and that leads to a power suppression 50 00:04:50,790 --> 00:04:52,530 rather than an exponential suppression. 51 00:04:54,450 --> 00:05:02,880 So, the I will There are of course, the This is well well known and the summation 52 00:05:02,880 --> 00:05:09,240 of the objective of the BTS been has been known since the 70s. However, here will 53 00:05:09,240 --> 00:05:13,590 focus on on a slightly different approach in which the trans woman who is recently 54 00:05:13,590 --> 00:05:20,130 in direct space without moving as as typically done 200 space so, so factorizes 55 00:05:20,310 --> 00:05:26,430 and we discuss this very briefly and this the radish approach that we developed in 56 00:05:26,430 --> 00:05:32,640 this, these two papers in which it's next to leading longer. So, whenever something 57 00:05:32,640 --> 00:05:38,730 the second tower of of logs, one can write the cumulative cross section for the for 58 00:05:38,730 --> 00:05:45,240 the for the for the for the hits PT as this is convolution between us on a simple 59 00:05:45,240 --> 00:05:52,770 observable which one can analytically and creates this, this exponentiations 60 00:05:52,980 --> 00:05:57,420 trivially and a more complicated transfer function, which one has to evaluate 61 00:05:57,420 --> 00:06:02,190 numerically but the advantage is that it Just competed find it and can be evaluated 62 00:06:02,190 --> 00:06:10,080 with with Monte Carlo methods. This way when can resume at high accuracy the 63 00:06:10,110 --> 00:06:16,890 deputy of the of the without the needs to go to 200 space, what are the advantages 64 00:06:17,070 --> 00:06:23,940 for foot foot foot for doing such a thing, one example is that the performance is 65 00:06:23,940 --> 00:06:29,190 very fact flexible and in general. So, here I compare the two standard 66 00:06:29,190 --> 00:06:35,670 reservation for the for the PT of the leading actor on the left and of the PT of 67 00:06:35,670 --> 00:06:40,350 the heat's on the underwriter and one can see that the standard formula are very 68 00:06:40,350 --> 00:06:44,760 different from from from from each other on the left one can submit in indirect 69 00:06:44,760 --> 00:06:52,020 space. Whereas, for the for the PT two standard summation is done in, in in 70 00:06:52,020 --> 00:06:57,180 conjugate conjugate space and wants to go to 3d space to to be able to exponentiated 71 00:06:57,210 --> 00:07:05,940 the logs in The formula in indirect spaces in studies is perhaps less less elegant, 72 00:07:06,600 --> 00:07:11,910 but is more powerful in the sense that the same formula can capture the two 73 00:07:11,940 --> 00:07:17,100 resonation in in a unique formula. So, here I slightly reverse the formula 74 00:07:17,100 --> 00:07:21,810 disappear in the in the in the previous slide. But we recognize again the symbolic 75 00:07:22,620 --> 00:07:27,840 symbol here like is that exponent shaped and the meter just to be evaluated 76 00:07:27,870 --> 00:07:31,410 numerically, and one can see the only dependence on your server is in this 77 00:07:31,590 --> 00:07:37,980 function that constrains the observable to the delegation. So for the for the for the 78 00:07:37,980 --> 00:07:44,010 PT jet when simply has to plug in the relevant cost ranges such as the deputy of 79 00:07:44,010 --> 00:07:49,140 the head of the of the lead injector is is the maximum of all the KT of all the 80 00:07:49,200 --> 00:07:53,820 missions and for the case of the hips, one is just to put the cost range that the PT 81 00:07:53,820 --> 00:07:58,650 on the heat so is it simply the the tourists and the models of the tourism 82 00:07:58,650 --> 00:08:03,930 only in China One can reproduce the two formulas here. So this differential 83 00:08:03,930 --> 00:08:08,490 control in a dark space helps and price guidance to achieve a double differential 84 00:08:08,490 --> 00:08:11,580 resolution of these two observables. So the beauty of the leading jet and the 85 00:08:11,580 --> 00:08:19,110 beauty of the Higgs so let's briefly recap how we we did it starting from a sketch at 86 00:08:19,140 --> 00:08:24,990 next reading log. In this next reading log, all the different emission can be are 87 00:08:24,990 --> 00:08:31,230 considered strongly ordered in in angle and Katie Katie tie clustering algorithm 88 00:08:31,380 --> 00:08:37,350 will associate each emission to different jet. The differential estimation can be 89 00:08:37,350 --> 00:08:40,860 obtained just simply by combining the two measurement factors. So here we see the 90 00:08:40,860 --> 00:08:45,000 two formula that I that I wrote before for the PT of the hips and the pickup leading 91 00:08:45,000 --> 00:08:50,760 jacked with the two different with the two different measurement functions. If I plug 92 00:08:50,760 --> 00:08:55,260 the two things together, I obtain a double differential result for the summation of 93 00:08:55,260 --> 00:09:03,180 the two observables see and hear and hear IE I was neglected the pattern the effect 94 00:09:03,180 --> 00:09:07,710 of parka luminosity dye restating this light at high odors when asked to also 95 00:09:07,710 --> 00:09:11,580 include additional effects of the condition functions and have you talk with 96 00:09:11,580 --> 00:09:19,230 patients to fully promote the result at high accuracy next next reading log one 97 00:09:19,230 --> 00:09:25,440 has first to promote the formula this this this formula on the previous slide to to 98 00:09:25,440 --> 00:09:29,550 next to next reading log by including additional terms in the in the pseudocode. 99 00:09:30,480 --> 00:09:33,570 But also included these additional two corrections does clustering and is 100 00:09:33,570 --> 00:09:40,800 correlated the correction. So, the first correction is is is related to to the to 101 00:09:40,800 --> 00:09:45,540 the fact that the jet algorithm can cluster two independent emission into the 102 00:09:45,540 --> 00:09:47,700 same jet. This way 103 00:09:48,840 --> 00:09:52,650 the other one has to take into account that does affect the time to sit next to 104 00:09:52,650 --> 00:09:57,330 next reading lock. The correlative correction on the other hand, amends the 105 00:09:57,330 --> 00:10:03,210 fact that inclusive levels are What are discussing the diffuse light? The correct 106 00:10:03,210 --> 00:10:09,360 quantity has been included include has been integrated over inclusively was the 107 00:10:09,360 --> 00:10:14,640 direct direct configuration in which the two correlated emissions are not clustered 108 00:10:14,670 --> 00:10:20,940 into the same group. So, the target is is is is putting these two different emission 109 00:10:20,940 --> 00:10:25,170 in two different jets. So, one has to calculate this this additional correction 110 00:10:25,200 --> 00:10:31,320 next misleading lock, but from the these are irrelevant for the reservation 111 00:10:31,320 --> 00:10:35,490 actually of the of the PT of the leading Jetta not for the beauty of the Hague sir, 112 00:10:35,580 --> 00:10:39,270 but one has to include them at the level of the double differential resignation in 113 00:10:39,270 --> 00:10:43,590 which both of several are resigned. However, the same philosophy can be 114 00:10:43,590 --> 00:10:50,610 applied next next living longer by simply combining the measurement functions. So, 115 00:10:50,610 --> 00:10:55,020 to promote this to the double differential level one justice to include the effect of 116 00:10:55,290 --> 00:11:00,270 dimensional functions for the PT have this extent of picking up digital data I'll 117 00:11:00,270 --> 00:11:05,730 quickly move to the to the result as my Time's running out. Here I show the next 118 00:11:05,730 --> 00:11:10,830 next block cross section, differential mgh and cumulative in PD chapter in competing 119 00:11:10,830 --> 00:11:17,100 projects are probably of the future. So we see in here that we have a big structure 120 00:11:17,100 --> 00:11:25,950 at at small PDH. And the pizza larger p th and a sulak of subtraction is TJ as 121 00:11:25,950 --> 00:11:33,180 expected, if we slice this distribution along this display, we see the 122 00:11:33,210 --> 00:11:38,400 distribution of the PT of the Higgs at a given value of deputy judge v chain which 123 00:11:38,400 --> 00:11:44,550 I'm slicing the distribution. Finally, we observe in here that along the line where 124 00:11:44,550 --> 00:11:50,490 PT judge vt is equal to PT H, there is there is this, this this feature of the 125 00:11:50,490 --> 00:11:53,940 surgical shoulder that appears only at fixed it or there is a singularity, fix it 126 00:11:53,940 --> 00:12:00,480 or not there at some level. And in our formulation, we found lots of The shoulder 127 00:12:00,480 --> 00:12:05,370 in the limit in which both of circles are more. So, in this corner of the after 128 00:12:05,490 --> 00:12:13,650 after display. So, the here I just show the result for the improvement of the 129 00:12:13,650 --> 00:12:18,030 reservation with respect to the to the exit order, he's a fixture of distribution 130 00:12:18,030 --> 00:12:23,970 with the divergences as mobility. And if we look on top the reservation This is 131 00:12:24,000 --> 00:12:29,370 what we get at the next reading log in order and next next reading log class next 132 00:12:29,370 --> 00:12:35,610 week and we see that we have a little bit of convergence to the left of the shoulder 133 00:12:35,610 --> 00:12:41,340 with uncertainty reduce at a 10% level and we have a much reduced sensitivity to to 134 00:12:41,340 --> 00:12:44,820 show that respect to the to the next reading or the spectrum and the good 135 00:12:44,820 --> 00:12:51,180 convergence even as relative largish value of the PGH over the K factor is is is 136 00:12:51,180 --> 00:12:55,980 large. Above the shoulder there are multiple configuration that plays a 137 00:12:55,980 --> 00:12:59,820 substantial role and here are not expected a pattern shower might do might do better 138 00:13:00,000 --> 00:13:07,290 score. And although I discussed the ollie the Hicks case, let me just briefly say 139 00:13:07,290 --> 00:13:14,370 that the same summation can be extended to more complex panels data. Here we did it 140 00:13:14,370 --> 00:13:19,740 for the case of W plus W minus production, in which we compare the same distribution. 141 00:13:19,740 --> 00:13:25,830 So, the PT of the WW with a veto on the PT have the hardest chapter with the next two 142 00:13:25,830 --> 00:13:32,220 leading for the next next reading log with the result from NLP s. And we see indeed 143 00:13:32,220 --> 00:13:37,830 as more PT we do with the better we have reduced uncertainty. And we have 144 00:13:37,830 --> 00:13:43,110 differences at the order of 10 of the 10% is achieved with this new interface 145 00:13:43,110 --> 00:13:47,490 between Raj and the fixer of the code matrix, which can be used for generic two 146 00:13:47,490 --> 00:13:53,100 to one to two processes. So, to summarize, I've shown the first gen transformation 147 00:13:53,100 --> 00:13:58,560 for our double differential kinematics variables which in turn collision and 148 00:13:58,590 --> 00:14:02,400 distortions have been extended to More complex finance data for two to one to 149 00:14:02,400 --> 00:14:06,810 policymakers that will be available with this kind of magical stretching interface. 150 00:14:07,110 --> 00:14:13,410 And this will definitely help to to obtain precise political prediction to to compare 151 00:14:13,410 --> 00:14:19,830 with the with the with the always more precise data at smaller collected 152 00:14:20,400 --> 00:14:23,310 from Atlas and CMS Elysee thanks 153 00:14:25,710 --> 00:14:30,660 thanks a lot Luca for a nice presentation also for sticking to look at the time. So, 154 00:14:30,660 --> 00:14:36,810 we do have time for one max two questions. So if people wants to raise hands 155 00:14:42,270 --> 00:14:49,050 maybe I could ask a question. This Yes. And so you, you showed a double 156 00:14:49,050 --> 00:14:54,510 differential observable I wonder from the formalism is it straightforward to extend 157 00:14:54,510 --> 00:14:57,420 this to triple differential or multi different 158 00:14:58,200 --> 00:15:04,260 not not Well, I mean one first step to understand exactly which which kind of 159 00:15:04,260 --> 00:15:12,360 loves you you like to refer in the sense that in in here we are. So, hearing I mean 160 00:15:12,360 --> 00:15:16,050 double differential designs that we are assigning to different classes of locks, 161 00:15:16,410 --> 00:15:20,670 but in here we are new a free differential on the on the board and variables. So, 162 00:15:20,700 --> 00:15:28,020 this this result here is there is within a certain amount of cuts. If, if your 163 00:15:28,020 --> 00:15:33,150 question was related to that, so, when you can apply arbitrary caps on board level 164 00:15:33,150 --> 00:15:38,580 variables, so, it's already if you want to differentiate in that sense, we it is not 165 00:15:38,580 --> 00:15:42,990 immediate any way to resolve like a third observable. This is what I was asking that 166 00:15:43,020 --> 00:15:46,050 yes, this is probably not not that straightforward. 167 00:15:46,769 --> 00:15:51,149 Okay. Okay. In principle, it could be Yes, but I want us to think about it. Yes. 168 00:15:54,480 --> 00:15:55,920 There is one question from Giovanni. 169 00:15:57,270 --> 00:16:03,720 I was wondering when you mentioned the future extension. So, with come for also 170 00:16:03,720 --> 00:16:09,600 to to to color singlets. So, also, demotions, but also Higgs plus 171 00:16:10,830 --> 00:16:12,570 to W Higgs, or is that Higgs and 172 00:16:13,590 --> 00:16:21,480 so in. So with this interface that I think will be public and to know in the coming 173 00:16:21,480 --> 00:16:25,560 week or so, all the processes that are included in the matrix that will be 174 00:16:25,560 --> 00:16:33,450 available. So also VA Sure, I think Americans VHS, WW, gamma, gamma, gamma. 175 00:16:34,050 --> 00:16:37,920 And so all of these will be available with disabilities interface 176 00:16:39,840 --> 00:16:45,480 or policy, two to one and two to two that are included into Yes. 177 00:16:49,530 --> 00:16:55,590 Okay, thanks a lot. If I think we can move to the now experimental side of the 178 00:16:55,590 --> 00:16:56,010 session