1 00:00:02,310 --> 00:00:05,070 A few other people are joining but I think we can start 2 00:00:06,359 --> 00:00:14,759 Welcome to the second level physics session and today we will talk 3 00:00:14,759 --> 00:00:22,799 about CP violation, CKM metrology and other form factors. Let us start 4 00:00:22,799 --> 00:00:34,349 with this CP violation in charm and for this we have Guillaume Pietrzyk who will give this overview. 6 00:00:36,390 --> 00:00:43,170 Hi everyone and thanks to the organizers for setting up such a nice 7 00:00:43,230 --> 00:00:50,160 online conference. I will talk to you about CP violation in charm at LHCb. A few words 8 00:00:50,160 --> 00:00:55,560 on CP violation in the charm sector. You may know that the charm 9 00:00:55,560 --> 00:01:00,720 sector encompasses the only up type quark decays in which we can probe CPV in 10 00:01:00,720 --> 00:01:06,900 neutral mesons, CPV in the Standard Model is predicted to be to be 11 00:01:06,900 --> 00:01:11,610 quite small at the level of 10-4 , or 10-3. 12 00:01:11,610 --> 00:01:14,760 So there's really room for new physics enhancements there. But you have to know 13 00:01:14,760 --> 00:01:19,110 that these predictions are have large uncertainties because if you check the two 14 00:01:19,110 --> 00:01:24,210 drawings at the bottom, you can see the short distance contributions with W exchange. 15 00:01:24,210 --> 00:01:29,580 This is heavily suppressed in charm decays. Whereas if you check 16 00:01:29,580 --> 00:01:34,860 the long distance contributions with the exchange of pions and kaons. These have 17 00:01:34,860 --> 00:01:40,200 large uncertainties. By making precise measurements, we can really improve these predictions. 18 00:01:40,590 --> 00:01:46,080 What's really nice for instance at LHCb is the fact that we have 19 00:01:46,260 --> 00:01:50,790 a lot of charm decays. We have about 1 billion D0 decays that are ready 20 00:01:50,820 --> 00:01:55,680 to be analyzed at LHCb. If you take into account the full Run 1 and Run 2 21 00:01:56,280 --> 00:02:02,190 data sample. There are three types of CP violation the charm sector. In any 22 00:02:02,190 --> 00:02:07,440 sector but also in the charm sector. They are in two families. You have 23 00:02:07,440 --> 00:02:12,240 the direct sector where we have CP violation in the decay so it means that the amplitude of a D0 24 00:02:12,240 --> 00:02:17,760 going to a final state is not the same as the one of D0bar going to the anti-final state. 25 00:02:17,760 --> 00:02:21,990 This is where we saw a CP violation last year. I will talk 26 00:02:22,050 --> 00:02:28,290 later about it. You also have the indirect sector, where you have CPV in the 27 00:02:28,290 --> 00:02:33,150 mixing. It means that the the amplitude of a D0 oscillating to a 28 00:02:33,150 --> 00:02:37,620 D0bar is not the same as the D0bar oscillating to a D0. You also 29 00:02:37,620 --> 00:02:41,250 have the interference between mixing and decay. And this can be seen as the fact 30 00:02:41,250 --> 00:02:46,530 that the CP-violating phase is different from zero up to up to a phase. 31 00:02:47,220 --> 00:02:54,720 This is the indirect family where we still have no evidence of CP violation for now. 32 00:02:54,960 --> 00:03:00,450 the LHCb detector could be could be almost called the LHCc detector because it's 33 00:03:00,450 --> 00:03:05,340 perfectly made to study charm decays. We have the vertex locator at the pp 34 00:03:05,340 --> 00:03:11,310 collision point where we have a very good time resolution of 45 fs and a very 35 00:03:11,310 --> 00:03:17,430 good IP resolution of about 20 micrometers. Before and after the 40 Tm 36 00:03:17,430 --> 00:03:22,770 dipole magnets, we have two tracking stations that have a good 37 00:03:22,830 --> 00:03:29,520 momentum resolution of about 0.5% at high momenta. Also with the rich system, 38 00:03:29,520 --> 00:03:33,750 the calorimeters and the muon chambers, we have very good particle identification, 39 00:03:33,750 --> 00:03:38,460 especially when it comes to kaons and pions. And so this is this is all very 40 00:03:38,460 --> 00:03:44,610 good for for charm decays. So first I'll start with CPV in the decays. 41 00:03:44,610 --> 00:03:48,150 You may all have heard of the delta ACP measurement where we saw CP violation. 42 00:03:48,150 --> 00:03:52,800 I'll talk a bit about it. So it was done using the full Run 2 dataset of 6 fb-1 43 00:03:52,800 --> 00:03:56,850 It was really a comparison between the two Cabibbo-suppressed decays, 44 00:03:56,850 --> 00:04:02,250 The D0->KK and the D0->pipi. There are two production modes. 45 00:04:02,250 --> 00:04:08,460 There's the prompt mode where a D*+ 46 00:04:08,460 --> 00:04:13,230 is produced directly at the PV. It has a very short lifetime. So it immediately decays 47 00:04:13,230 --> 00:04:17,880 to a D0 and a soft pion (called a soft pion because it has a low momentum). 48 00:04:17,880 --> 00:04:21,600 The charge of this pion is used for flavor tagging. If you have a pi+, you 49 00:04:21,600 --> 00:04:25,950 have a D0 ; if you have a pi- you have a D0bar. ThereÕs also the 50 00:04:25,980 --> 00:04:32,730 semi-leptonic B decays production mode. In this case, at the PV a B is 51 00:04:32,730 --> 00:04:36,420 produced which has a significant lifetime. It flies a bit, then it 52 00:04:36,420 --> 00:04:40,410 decays to D0 in other particles and in these other particles, you have the 53 00:04:40,710 --> 00:04:45,330 the muon, and this is useful for flavor tagging. I'll talk a bit about the 54 00:04:45,330 --> 00:04:50,190 yields. We have a bit more data when it comes to prompt decays with respect to semileptonic 55 00:04:50,190 --> 00:04:55,380 B decays. For instance, if you check the mass distributions on the left, 56 00:04:55,410 --> 00:05:02,130 you have 44 million D0->KK decays whereas in the semileptonic B decays you have 9 57 00:05:02,130 --> 00:05:02,131 58 00:05:02,131 --> 00:05:04,890 million signal events. 59 00:05:06,420 --> 00:05:12,420 So, the delta ACP measurement is basically the subtraction of two CP asymmetries. 60 00:05:13,200 --> 00:05:17,910 But at LHCb when we measure CP asymmetries we donÕt directly observe CP 61 00:05:17,910 --> 00:05:22,980 asymmetries, we have raw asymmetries which are the difference of the yields of D0 62 00:05:22,980 --> 00:05:29,190 versus D0bar that you observe and so that what differs Araw from ACP, 63 00:05:29,220 --> 00:05:33,150 ACP being this physical asymmetries, are the experimental asymmetries. You have 64 00:05:33,270 --> 00:05:37,680 two main sources of experimental asymmetries. You have the detection asymmetries 65 00:05:37,680 --> 00:05:43,290 that lead to an asymmetry in the detection of the tagging tracks so you 66 00:05:43,290 --> 00:05:48,270 do not really detect pi+ and pi- in the same way. 67 00:05:48,270 --> 00:05:52,140 You have the production of asymmetry which is the asymmetry of 68 00:05:52,140 --> 00:05:55,830 production of the D*+ versus D*- for prompt decays and Bbar versus B 69 00:05:55,830 --> 00:06:00,510 for semileptonic B decays. In the end what is left is this 70 00:06:00,510 --> 00:06:07,860 CP asymmetry. But if we were to measure not delta ACP, but just ACP, then A_D 71 00:06:07,860 --> 00:06:11,160 and A_P would be very challenging to assess. Really the strategy that is 72 00:06:11,160 --> 00:06:18,270 used in this is to equalize the A_D and A_p for KK and pipi. 73 00:06:18,300 --> 00:06:24,480 To do that what was done was a series of fiducial cuts that remove the regions of high 74 00:06:24,480 --> 00:06:29,700 detection asymmetry. But also a reweighting procedure to match the kinematics of the 75 00:06:29,700 --> 00:06:35,700 KK and pipi. You can see that at the bottom right. And once you do this, the 76 00:06:35,730 --> 00:06:39,720 delta ACP which is the difference of raw asymmetries becomes the difference 77 00:06:39,720 --> 00:06:45,630 of CP symmetries. And this is what we are looking for. So, this is not equal to zero 78 00:06:45,630 --> 00:06:51,480 because of SU(3) breaking that tells you that ACP(KK)=-ACP(pipi). 79 00:06:51,480 --> 00:06:58,410 So I go to the to the Run 2 results. So we see we see a significant 80 00:06:58,410 --> 00:07:02,520 departure from zero in the case of prompt decays. We do not really see it in 81 00:07:02,520 --> 00:07:06,420 the semileptonic B decays (linked to the fact that we have less statistics). But if 82 00:07:06,420 --> 00:07:11,340 you combine these two Run 2 measurements with the ones that were obtained with the two 83 00:07:11,340 --> 00:07:18,060 production modes of Run 1, you see delta ACP=(-15.4 +- 2.9)*10^-4. 84 00:07:18,060 --> 00:07:23,580 85 00:07:18,060 --> 00:07:32,250 The first observation of CP violation in charm decays at the level of 5.3 sigma. 86 00:07:32,250 --> 00:07:38,700 I switch to the latest ACP measurements that were measured using charged decays. 87 00:07:38,700 --> 00:07:44,910 The goal was to measure the ACP using 2015-2017 data using three Cabibbo-supressed decay modes. 88 00:07:44,910 --> 00:07:49,860 You have Ds+->Kspi+, D+->KsK+ and D+->phi pi+. 89 00:07:49,860 --> 00:07:55,980 To do this analysis, we made use of three Cabibbo-favored 90 00:07:55,980 --> 00:08:02,340 control samples and we know that in these samples the ACPs must be compatible with zero 91 00:08:02,340 --> 00:08:09,150 at the current level of precision. And so, the signal modes are in red 92 00:08:09,150 --> 00:08:14,490 and the control samples are in blue. And you can see at the bottom the 93 00:08:14,490 --> 00:08:21,660 mass distributions of all of these decays. So, to measure the CP asymmetries, 94 00:08:21,660 --> 00:08:26,310 we make use of the raw asymmetries of the control samples. So, if 95 00:08:26,310 --> 00:08:30,690 you check, for instance, the ACP of the Ds+->Ks pi+ it is approximately 96 00:08:30,690 --> 00:08:34,050 equal to the raw asymmetry of the Ds+->Ks pi+ minus the raw 97 00:08:34,050 --> 00:08:38,880 asymmetry of one of the control samples. And so, this was this was done for all of the 98 00:08:38,910 --> 00:08:43,980 three decays in red and it was possible then to measure the CP 99 00:08:43,980 --> 00:08:48,600 asymmetries for all of these decays. We see no deviation from the CP 100 00:08:48,600 --> 00:08:53,970 conservation hypothesis at this current level of precision. On the right you can 101 00:08:53,970 --> 00:08:58,440 see the systematic uncertainties where you can see that the main one that comes from 102 00:08:58,440 --> 00:09:02,220 the fit models. There is some foreseen reduction by constraining the 103 00:09:03,840 --> 00:09:08,610 shapes to simulation. Now, I switch to indirect CP violation searches. 104 00:09:08,610 --> 00:09:14,460 First I will talk a bit about charm-mixing. Flavour-mixing as you 105 00:09:14,460 --> 00:09:17,820 Know leads to the distinction between the mass eigenstates and the flavor 106 00:09:17,820 --> 00:09:22,290 eigenstates. And the oscillations in charm depend on two parameters that are 107 00:09:22,290 --> 00:09:26,460 x and y (they are displayed on the on the left). So, if you have x and y 108 00:09:26,460 --> 00:09:30,510 equal to zero, you have no mixing and you can see that in the current situation, we 109 00:09:30,510 --> 00:09:35,370 are very far away from that. So charm mixing is well established at more than 5 sigma. 110 00:09:35,400 --> 00:09:40,800 To look for indirect CPV, we have some CP-violating mixing 111 00:09:40,800 --> 00:09:47,370 parameters that are called xCP, delta x, yCP and delta y. They depend on x, phi, |q/p| and y. 112 00:09:47,370 --> 00:09:52,950 In the case of no CP violation. In the case where phi is 113 00:09:52,950 --> 00:09:58,170 equal to zero and |q/p| is equal to one, what you have is the fact that xCP is 114 00:09:58,170 --> 00:10:02,430 equal to x that delta x is equal to zero ; yCP is equal to y and delta y is equal to zero. 115 00:10:02,430 --> 00:10:07,560 This is what we use to see if we have CP Violation in the indirect sector. 116 00:10:07,560 --> 00:10:11,130 There was a nice analysis that was done to measure these parameters in D0->Kspipi 117 00:10:11,130 --> 00:10:13,650 by using two production modes. 118 00:10:14,940 --> 00:10:22,320 There is one, the prompt mode, with 2012 data at 2fb-1, and the semi-leptonic mode 119 00:10:22,320 --> 00:10:26,580 using full run 1. You can see the two distributions below. 120 00:10:26,580 --> 00:10:31,080 So you have a bit more data in the prompt sample than in the semi-leptonic one and 121 00:10:31,110 --> 00:10:35,100 a bit more background in the semi-leptonic sample ; but what you need to 122 00:10:35,100 --> 00:10:38,760 know is the fact that D0->Kspipi has a rich resonance structure. 123 00:10:39,240 --> 00:10:43,890 And so, this is really a challenge when it comes to measuring these CP parameters in these 124 00:10:43,890 --> 00:10:47,550 decays. There was a very nice method that was developed that is called the bin-flip 125 00:10:47,550 --> 00:10:53,460 method. It avoids the need of a fit of the decay amplitudes. So what is done 126 00:10:53,460 --> 00:10:57,510 basically, the data is binned in Dalitz coordinates where the binning scheme 127 00:10:57,510 --> 00:11:02,940 is chosen to have constant strong phases differences. These regions are 128 00:11:02,940 --> 00:11:10,530 shown on the Dalitz plots at the bottom right. The yields are shown on the 129 00:11:10,530 --> 00:11:15,990 left where you have a bit more data at the bottom and on the top left because of more 130 00:11:15,990 --> 00:11:20,940 Cabibbo-favoured decay modes at the bottom right. And so, to measure these CP 131 00:11:21,030 --> 00:11:25,800 parameters, there was a simultaneous fit of the yield of the ratio between the 132 00:11:25,950 --> 00:11:30,630 events at the bottom right with respect to the one at the top left: 133 00:11:30,630 --> 00:11:35,190 the +b and the -b regions. This was done as a function of decay time and this 134 00:11:35,190 --> 00:11:41,880 gives access to the wanted CP parameters. And so, thanks to that, we measured some 135 00:11:41,910 --> 00:11:47,580 some value for xCP, delta x, yCP and delta y, then it was possible to 136 00:11:47,580 --> 00:11:53,280 derive the mixing parameters x, y, |q/p| and phi. And then you can compare 137 00:11:53,310 --> 00:11:57,810 the different values to see if you have some CP violation. If you check the value 138 00:11:57,810 --> 00:12:02,820 of x that was obtained and you combine it with the word average value, you have a 139 00:12:02,820 --> 00:12:07,470 departure of x from zero. And this is the first evidence as mass difference between 140 00:12:07,470 --> 00:12:12,060 neutral charm-meson eigenstates. So that is a very nice result. And at the bottom 141 00:12:12,060 --> 00:12:15,630 right, you can see the improvements of this analysis when it comes to the 142 00:12:15,630 --> 00:12:20,370 parameter x, y, |q/p| and phi. So there was really a nice improvement with respect to 143 00:12:20,370 --> 00:12:24,570 the word average value. And I can say that the run 2 measurements are underway both 144 00:12:24,600 --> 00:12:28,740 in the prompt modes and in the semi-leptonic ones, so it is going to be even 145 00:12:28,740 --> 00:12:35,790 more precise. And last, the search for time dependent CPV in D0->KK and 146 00:12:35,790 --> 00:12:41,070 D0->pipi decays. So it is basically a measurements of the raw asymmetry as a 147 00:12:41,070 --> 00:12:45,600 function of decay time. This time the goal is to measure a parameter called 148 00:12:45,630 --> 00:12:52,080 Agamma and a departure of Agamma from zero is a signal of CP violation. In this 149 00:12:52,080 --> 00:12:55,860 measurement, you have some experimental asymmetries that depend on time 150 00:12:55,860 --> 00:13:00,510 and you have to deal with that. They are the flavor identification asymmetries and the 151 00:13:00,510 --> 00:13:05,460 production asymmetries. So to have this measurement, there was a measurement of 152 00:13:05,460 --> 00:13:10,080 Agamma done to D0->Kpi because we know that Agamma must be compatible with 153 00:13:10,080 --> 00:13:14,460 zero at the level of 10-5, 10-6. 154 00:13:14,460 --> 00:13:20,370 And so, D0->Kpi is really used to cross-check the analysis procedure. 155 00:13:20,370 --> 00:13:26,160 I can show you the results that were obtained using prompt 156 00:13:26,160 --> 00:13:33,390 decays from 2015 and 2016. This is still a preliminary result. 157 00:13:33,390 --> 00:13:39,000 It was also done using the semileptonic B decays from 2016 to 2018. Agamma is the 158 00:13:39,000 --> 00:13:43,500 inverse of the slope but you can see on this graph and you can also see that there 159 00:13:43,500 --> 00:13:49,140 is no strong departure of Agamma from zero despite the huge precision that we 160 00:13:49,140 --> 00:13:55,200 can achieve. You can see now the current status of the measurements of Agamma. 161 00:13:55,200 --> 00:14:00,690 The last two results in blue are the KK and pipi combinations from the 162 00:14:00,690 --> 00:14:04,350 results that I showed you in the previous slides, and thanks to all of these 163 00:14:04,380 --> 00:14:08,610 measurements that were done by LHCb and all of the other experiments, it was possible 164 00:14:08,610 --> 00:14:13,560 to compute a non-official (or homemade) world average value, which is very close 165 00:14:13,560 --> 00:14:18,300 to 1*10-4, so we have a nice 166 00:14:18,300 --> 00:14:22,560 precision, when it comes to Agamma. The Standard Model prediction is very low, it is 167 00:14:22,560 --> 00:14:25,110 at the level of 2*10-5. 168 00:14:26,640 --> 00:14:30,780 We are going to improve a bit this world-average value because the 2017 and 2018 169 00:14:30,780 --> 00:14:36,720 prompt results are coming soon. And I can show you on the at the bottom right the 170 00:14:36,720 --> 00:14:41,820 prospects for Run 4 and Run 5 at LHCb. And we can see that at 171 00:14:42,990 --> 00:14:48,720 the end of run 4 / run 5, we might be able to reach the standard 172 00:14:48,720 --> 00:14:53,520 model prediction. So we really need a huge amount of data to see a signal. 173 00:14:53,580 --> 00:14:59,190 These results are already very nice. So in summary, 174 00:14:59,190 --> 00:15:03,330 I can tell you (I mean you already know) that CP violation has been 175 00:15:03,330 --> 00:15:07,920 measured for the first time in charm decays, we are making some 176 00:15:07,920 --> 00:15:11,250 very precise measurements and we are looking for additional sign of CP 177 00:15:11,250 --> 00:15:15,990 violation, especially in the indirect sector. We are all working very hard to 178 00:15:15,990 --> 00:15:20,040 really finalize these measurements, using all of the run 2 dataset 179 00:15:20,040 --> 00:15:24,420 that we have, but bare in mind that the results are limited by statistics. So, 180 00:15:24,420 --> 00:15:28,740 we are really looking forward to having additional data with run 3, run 4 and run 5. 181 00:15:28,800 --> 00:15:31,020 Thanks a lot for your attention. 182 00:15:33,150 --> 00:15:38,640 Thank you for the nice overview. Are there any questions? 183 00:15:43,440 --> 00:15:51,240 So, to ask a question, please raise your hands and you will be allowed to ask your 184 00:15:51,240 --> 00:15:59,790 question. Given that I do not see any hands so far, maybe I can start. With the 185 00:15:59,790 --> 00:16:03,900 first measurement, you presented the delta ACP measurements if you go around 186 00:16:03,900 --> 00:16:11,670 slide 8 or something. So of course, you can keep the systematics, much lower 187 00:16:11,670 --> 00:16:17,370 than the statistical error because you are measuring a difference. Right? So, 188 00:16:17,820 --> 00:16:24,240 but you can measure ACP(KK) and ACP(pipi) for example. Yeah. 189 00:16:26,130 --> 00:16:32,070 Yeah. ACP was measured using run 1 date. We are looking forward to 190 00:16:32,070 --> 00:16:37,200 getting the run 2 value. But of course, it is going to be to be maybe less precise 191 00:16:37,200 --> 00:16:39,930 than the than this disparity as far as I know. 192 00:16:41,340 --> 00:16:45,930 Okay, do you have any idea if we will still be statistically dominated or the 193 00:16:45,930 --> 00:16:51,420 systematics will start to become big? For example, for the KK sample? 194 00:16:52,680 --> 00:16:57,900 I am not an expert, but I guess yes. We are going to be limited by statistics 195 00:16:57,900 --> 00:16:58,890 in this regard. 196 00:17:00,359 --> 00:17:00,869 Okay, 197 00:17:00,899 --> 00:17:05,819 So if somebody in the audience does not agree, please tell me. 198 00:17:10,019 --> 00:17:12,359 And can I ask a question? 199 00:17:12,389 --> 00:17:13,499 Yes. 200 00:17:14,159 --> 00:17:22,049 I have a curiosity on page 11. You can go up. Could you 201 00:17:22,109 --> 00:17:27,869 explain a bit of the combination to obtain the signal asymmetry here, I had not even 202 00:17:27,869 --> 00:17:33,059 expected that, you should simply subtract from the raw asymmetry, the 203 00:17:33,059 --> 00:17:37,349 corresponding raw symmetry of the Cabibbo favored control sample where you have 204 00:17:37,349 --> 00:17:42,479 exactly the same kind of spacing. So you want to subtract basically the detector 205 00:17:42,479 --> 00:17:45,779 components. So you should have the same 206 00:17:47,250 --> 00:17:52,800 particles in the final state. So, I assume that basically you should have the same 207 00:17:52,830 --> 00:18:00,120 raw symmetry. Instead you use a combination that is not the one you use. You subtract 208 00:18:00,120 --> 00:18:06,000 a different channel. So, in these asymmetries, what was not 209 00:18:06,030 --> 00:18:11,250 mentioned directly are the asymmetries linked to the K0 because they are 210 00:18:11,250 --> 00:18:18,570 implicitly present in these asymmetries. So, for instance in all 211 00:18:18,570 --> 00:18:23,010 Of the first two lines, you also had to add to this the asymmetry 212 00:18:23,010 --> 00:18:28,500 linked to the K0 but these I think if I am not mistaken, this is taken 213 00:18:28,500 --> 00:18:30,690 for from additional measurements. 214 00:18:33,030 --> 00:18:33,720 Okay, 215 00:18:34,500 --> 00:18:34,950 I have to think about it. 216 00:18:36,690 --> 00:18:41,730 and then you have another curiosity about the on page number 8. 217 00:18:42,420 --> 00:18:50,340 Here on the bottom left, you have these different zones that 218 00:18:50,340 --> 00:18:57,990 you want to remove. So, could you repeat/elaborate the reason. 219 00:18:57,990 --> 00:19:02,460 So basically you have an angular dependence On the detector. 220 00:19:02,520 --> 00: 19:02,522 221 00:19:02,522 --> 00:19:13,200 So if you take into account these regions 222 00:19:13,200 --> 00:19:18,270 of high detection of symmetry then this would really bias your measurements. So, 223 00:19:18,270 --> 00:19:21,810 you really have to average regions where you have a very low asymmetries. What is 224 00:19:21,810 --> 00:19:27,150 exactly the question? Is it linked to whether or not they cancel out for KK and pipi? 225 00:19:27,150 --> 00:19:27,630 226 00:19:28,620 --> 00:19:33,480 No, it was just very very naive. So, I think that depends on the way in which 227 00:19:33,480 --> 00:19:34,830 is been to the detail. 228 00:19:35,130 --> 00:19:39,960 Exactly. So, yeah you want to you want to be as far as possible from the boundaries. 229 00:19:39,960 --> 00:19:44,310 Not too close to the beam pipe. 230 00:19:44,310 --> 00:19:48,240 In the acceptance you really want to be away from the boundaries. So, this is 231 00:19:48,570 --> 00:19:50,070 the idea. Thank you. 232 00:19:51,900 --> 00:20:02,010 I also had a question about slide 19. 233 00:20:02,010 --> 00:20:04,350 Next one. 234 00:20:06,600 --> 00:20:08,430 Yeah, sorry 235 00:20:08,459 --> 00:20:13,379 For run 3 and run 4. But it was looking at your systematic 236 00:20:13,379 --> 00:20:21,659 uncertainty which is comparable to the standard model that we see here, so what 237 00:20:21,659 --> 00:20:25,139 is the main uncertainty that you have? Do you expect to be able to reuse 238 00:20:25,139 --> 00:20:26,399 them? so much? 239 00:20:26,460 --> 00:20:33,030 That is a big question. So really the goal of run 3, 4 and 5 is really 240 00:20:33,030 --> 00:20:38,460 to decrease the statistical uncertainty uncertainty and 241 00:20:38,460 --> 00:20:40,830 we really want to keep the systematic as low as possible. 242 00:20:41,459 --> 00:20:41,999 So 243 00:20:43,530 --> 00:20:47,070 so this is really going to be the challenge that we are going to be facing 244 00:20:47,070 --> 00:20:52,260 too. So yeah, I guess these are linked to the statistical uncertainty. So the 245 00:20:52,260 --> 00:20:57,480 systematics are going to be a challenge when we go to 10-5 246 00:20:57,480 --> 00:20:57,930 Okay 247 00:20:59,250 --> 00:20:59,790 okay. 248 00:21:03,449 --> 00:21:06,869 I see one question or comment, Maurizio. 249 00:21:08,850 --> 00:21:16,020 Yes. Thank you. That is Maurizio Martinelli. I just wanted to add on this point that yes, 250 00:21:16,020 --> 00:21:21,510 these extrapolations are made based on the statistics, statistical power that you 251 00:21:21,510 --> 00:21:24,840 expect for the upgrade. But I wanted to add that most of the systematic 252 00:21:24,840 --> 00:21:30,450 uncertainties are still measured on data using control samples for example. So this 253 00:21:30,450 --> 00:21:37,680 should scale with statistics. Other systematic uncertainties, we 254 00:21:37,680 --> 00:21:42,840 reuse the one of run 1 and run 2 to understand whether our selection will 255 00:21:42,840 --> 00:21:46,620 introduce in some systematic uncertainties or trigger level for example, and that we 256 00:21:46,620 --> 00:21:51,360 could avoid them. And of course, for the run three onwards, we would be working to 257 00:21:51,420 --> 00:21:57,480 reduce those as much as possible as well. So, of course, there is some optimism, 258 00:21:57,510 --> 00:22:03,990 but we know what we should do in order to reduce that it is not that there 259 00:22:03,990 --> 00:22:07,140 will be anything that will be clearly limiting ourselves. 260 00:22:08,970 --> 00:22:12,900 Okay, thank you. Yes the data or usually add for this. 261 00:22:19,080 --> 00:22:19,740 Okay. 262 00:22:21,720 --> 00:22:28,080 So if there are no more questions or Comments. Thanks Guillaume! 263 00:22:28,080 --> 00:22:29,880 Thanks a lot!