1 00:00:00,570 --> 00:00:05,310 time. So we'll have four talks, which are all 15 plus three, and then we'll have 2 00:00:05,310 --> 00:00:10,890 approximately 20 minutes of discussion. So our first presentation will be on the 3 00:00:10,890 --> 00:00:15,210 latest experimental results related to initial state physics and that will be 4 00:00:15,210 --> 00:00:18,870 given by a medium. So could you try sharing your site's again? 5 00:00:24,060 --> 00:00:27,390 Okay, so let's see. Is it fine now? 6 00:00:27,419 --> 00:00:31,019 Yes, that's perfect. So I'll take the time and please go ahead when you're ready. 7 00:00:31,409 --> 00:00:39,749 Okay, thank you. So it's my pleasure to speak a second page here and to present to 8 00:00:39,749 --> 00:00:44,069 tell you about latest experimental results related to the to the initial state. 9 00:00:45,750 --> 00:00:48,570 So first, have a quick introduction also since 10 00:00:49,920 --> 00:00:57,720 the first one decision, but so I'll be covering a couple of topics here. So okay, 11 00:00:57,750 --> 00:01:02,850 what we want to do is to characterize the initial state VPN collisions. One thing is 12 00:01:05,490 --> 00:01:09,930 called spatial distributions. So, the geometry of the region in particular to 13 00:01:10,740 --> 00:01:16,920 better test and constrain the global model in particular. So, this is what is 14 00:01:17,940 --> 00:01:22,320 represented and on the right and then of course, another important thing is to 15 00:01:23,790 --> 00:01:28,770 study the momentum distributions and particular the nuclear button distribution 16 00:01:28,770 --> 00:01:35,460 functions. So, what is shown on the right is a platform the PVS 16 paper, so, this 17 00:01:35,460 --> 00:01:43,230 is the ratio of the BDF of Iran in the land close to that of Finnegan and he had 18 00:01:43,230 --> 00:01:51,630 the the best feet and the uncertainties for ek 16 and NCD 15 are shown and also we 19 00:01:51,630 --> 00:02:01,290 can see, maybe I can also introduce the different regions that we that we Discuss 20 00:02:01,320 --> 00:02:05,670 here. So, at Lu x we have the shadowing region where we there is a separation 21 00:02:05,670 --> 00:02:11,610 compared to physicians then under shadowing at intermediate x here and then 22 00:02:12,090 --> 00:02:17,340 at large x we go into the AMC effect and similarly for for quarks and indictments 23 00:02:18,930 --> 00:02:25,200 and yeah just a disclaimer so of course 15 minutes is very short to cover everything. 24 00:02:26,250 --> 00:02:31,320 So, I'm just going to cover kind of best known selection of recent results by just 25 00:02:31,950 --> 00:02:38,700 address and CMS but also covering a bit of Allison Okay, let me start with the 26 00:02:38,730 --> 00:02:43,320 collision geometry and starting with W and z bosons okay. So as we know they are not 27 00:02:43,320 --> 00:02:50,310 expected to be affected or very little by this only interacting GGP and we can use 28 00:02:50,310 --> 00:02:59,160 them to test the initial state geometry. So the global model so here two plus the 29 00:02:59,190 --> 00:03:05,250 four to six To vCenter class results, the one on the left is for W bosons plus or 30 00:03:05,250 --> 00:03:13,110 minus minus and blue and plus in white and then the right plot is for z bosons, we 31 00:03:13,110 --> 00:03:20,490 see that we have indeed what a flat behavior with centrality not perfectly, 32 00:03:20,490 --> 00:03:27,150 but I will mention this in the next slide. And what is also interesting to see here 33 00:03:27,210 --> 00:03:32,130 is that the experimental uncertainties are these for instance, if we can get the W 34 00:03:32,130 --> 00:03:38,280 was on the left this vertical line on the white rectangle and this is smaller than 35 00:03:38,280 --> 00:03:44,100 the normalization uncertainty meaning that and this is also the case for for the 36 00:03:44,100 --> 00:03:51,180 buttons on the right. Only for very for events for simple events, the global is 37 00:03:51,630 --> 00:03:57,180 more precise than the data and that means that we can start you know thinking about 38 00:03:57,180 --> 00:04:06,000 using w z bosons, as a As actually the reference for the other half whoops. So, 39 00:04:06,000 --> 00:04:12,750 instead of having the usual ta for for a, we could start thinking about normalizing 40 00:04:12,750 --> 00:04:22,440 to WSU versions. And then a look more closely at the twins as a function of 41 00:04:22,440 --> 00:04:31,710 centrality. So, Atlas sees this nun perfectly flat trend as it may be 42 00:04:31,710 --> 00:04:38,040 something rising when you go to bury for events. So who once again are in blue and 43 00:04:38,040 --> 00:04:43,410 reds and zebras and some green and they they seem to be slightly rising towards 44 00:04:43,440 --> 00:04:51,660 pay for events Why? The model they plot is just htpc where you try to account for 45 00:04:51,690 --> 00:04:57,210 correlations between the centrality as estimated for what it does and what 46 00:04:57,210 --> 00:05:04,200 happens in the world. We measure we use buttons. And we would expect this kind of 47 00:05:04,200 --> 00:05:10,710 correlations to have the opposite trend. So that is interesting. And I just want to 48 00:05:10,710 --> 00:05:15,480 mention also that next week for the Hopper conference, we have new results from from 49 00:05:15,480 --> 00:05:21,600 CMS that unfortunately, infection at eye control your account to get today. And 50 00:05:21,600 --> 00:05:24,780 also still we have some new results from Alice which are shown here on the right. 51 00:05:25,980 --> 00:05:29,760 It's a bit less precise, but it's a different facility coverage and here also 52 00:05:29,760 --> 00:05:34,830 we see that Okay, there within the uncertainties. There is no very clear 53 00:05:34,830 --> 00:05:41,190 trends, the most beautiful beanies not the IPF, you're still Welcome to this later 54 00:05:41,190 --> 00:05:47,580 but the data seem to agree better than with the calculations which include PDFs. 55 00:05:49,530 --> 00:05:54,060 Okay, so moving to nuclear PDFs. So we're putting the body back on the content of 56 00:05:54,060 --> 00:05:59,910 the initial state. Of course, this is very important because as soon as we do any 57 00:06:00,330 --> 00:06:09,360 constriction or a plant you know, we we need to know when the initial states and 58 00:06:09,510 --> 00:06:15,510 the nature of the internet we will have some correlation between the mutual 59 00:06:15,510 --> 00:06:22,050 kinematics and the x lead. So I have some examples here. The blood on the left is 60 00:06:22,620 --> 00:06:30,330 from the paper from from CMS, the y axis is the X in the LEDs and the x axis 88 of 61 00:06:30,330 --> 00:06:36,960 the pseudo PDT of the moon, the UPS NDK and we see a very clear correlation here. 62 00:06:37,500 --> 00:06:42,780 And the same here in the center for digests, also studying portal equations 63 00:06:42,810 --> 00:06:48,150 where we see that we have this collision between the stability of the de jet and 64 00:06:48,150 --> 00:06:53,790 the x, the ratio of the X in the lead to that of the proton. And then also on the 65 00:06:53,790 --> 00:07:02,040 right we see that by scanning different jet BTS girls Different correlation 66 00:07:02,040 --> 00:07:08,430 between x in the lead on the agent and then also in lead we can add some further 67 00:07:08,430 --> 00:07:15,990 information as we see. I'll start with w presence in potential collisions. So, this 68 00:07:15,990 --> 00:07:21,690 is a recent paper from CMS. Interesting interestingly we see that yeah, this is 69 00:07:21,690 --> 00:07:26,190 what the precise data on the experimental uncertainties are much besides and the 70 00:07:26,190 --> 00:07:31,590 uncertainty events from the from the nuclear PDFs and what is shown here on 71 00:07:31,590 --> 00:07:37,530 this plot is not the usual 90% confidence level then from between we scaled it to 72 00:07:37,530 --> 00:07:44,040 68%. And still the data is greater and more precise. And we see also quite 73 00:07:44,040 --> 00:07:48,300 clearly from from this that the data will not consistent with the prediction from a 74 00:07:48,300 --> 00:07:55,710 three button PDF, which is ct 14 here in red. There is a better agreement with SPS 75 00:07:55,710 --> 00:08:01,290 16 in green, then with entity 15 in orange weather, we'll get conceptions of the left 76 00:08:01,320 --> 00:08:09,420 at the far back about a ratio in the center or the challenge between the right 77 00:08:10,080 --> 00:08:16,170 so, better argument with EPSDT than etech 15. But better get the data if we look at 78 00:08:16,170 --> 00:08:21,420 the if we do a chi square accounting formulations, the data is not completely 79 00:08:21,420 --> 00:08:25,980 inconsistent with NC taxation. And the main difference here we see two in 80 00:08:25,980 --> 00:08:33,240 particular on this book is the the amount of shadowing between these these models. I 81 00:08:33,240 --> 00:08:38,610 mean one of the differences of course, in these companies, we also have some some 82 00:08:38,610 --> 00:08:44,250 new results from from CMS which is study of brilliant production. So, mu plus b 83 00:08:44,250 --> 00:08:50,820 minus production in important equations, not only z bosons but also the virtual 84 00:08:50,820 --> 00:08:56,910 photon continuum from 15 to 600, gv and this is complimentary to with w boson 85 00:08:56,910 --> 00:09:03,150 measurements. The data is up Besides, but we add them as dependents. So we it's kind 86 00:09:03,150 --> 00:09:08,880 of a scan of different scales. And also we add the pity dependents since we have a 87 00:09:10,500 --> 00:09:17,760 final state. So the left plot is the cost section as a function of Damien mess, 88 00:09:18,030 --> 00:09:22,770 where we see this continuum here. And we compared to bootleg so next week in order 89 00:09:22,770 --> 00:09:30,180 predictions, we're done with a free PDF cd 14, or with nuclear modifications to the 90 00:09:30,180 --> 00:09:36,150 PDF CPP f 16. In the center, we have the cross section in the low mass region 91 00:09:36,180 --> 00:09:40,860 between 15 and 60 G. And then on the right, this is the forward backward ratio 92 00:09:41,400 --> 00:09:50,070 for those ms region 60 to 120 G. And there's many, much more to see in these 93 00:09:50,070 --> 00:09:50,370 different 94 00:09:51,690 --> 00:09:54,420 models. Moving to 95 00:09:54,420 --> 00:10:00,000 lead the video on zebras on Cinder. Let's So back to our class as mentioned before, 96 00:10:00,000 --> 00:10:06,570 They mentioned them George W and z bosons in positions, the data seem to be at least 97 00:10:06,570 --> 00:10:10,920 for the normalization to be here better described by ct 14 98 00:10:13,469 --> 00:10:15,959 when you use such 14 rather than using, 99 00:10:16,259 --> 00:10:16,769 yes. 100 00:10:18,029 --> 00:10:23,129 But also in in, in these papers, it's mentioned that the next two next to 101 00:10:23,129 --> 00:10:27,359 anything other effects are important and the effect of normalization. So it's so 102 00:10:28,049 --> 00:10:34,289 big I hear seems that city 14 keeps a bit of prediction with the description. And 103 00:10:34,289 --> 00:10:42,539 also we have this new results from Alice. Were also when we saw maybe a different 104 00:10:42,539 --> 00:10:47,549 bit here, what they see is that the description seems to be better when you 105 00:10:47,549 --> 00:10:48,179 include 106 00:10:50,490 --> 00:10:53,430 nuclear modifications of the PDF, so MPP 107 00:10:53,429 --> 00:10:55,979 16, 108 00:10:56,130 --> 00:11:01,320 let me move to the Jets which I mentioned earlier. So this is a Very good job of 109 00:11:01,650 --> 00:11:05,340 glue and nuclear PDFs of a wide range of, of acts 110 00:11:07,169 --> 00:11:10,109 from shadowing to actually doing an EMC. 111 00:11:12,360 --> 00:11:15,930 So So yeah, if you look at this, but since we have this 112 00:11:16,380 --> 00:11:17,190 anti correlation 113 00:11:17,190 --> 00:11:23,490 between x and theta jitsu, we see on Tasha doing some shadowing and then actually 114 00:11:23,490 --> 00:11:34,950 doing it at midnight PDT and then gets to diabetes, we have to see effect. And it's 115 00:11:34,950 --> 00:11:42,690 worth noting that the data was already included into ebp f 16. Fit. But here, so 116 00:11:42,720 --> 00:11:46,800 there was a previous paper from CMS with only p net but here, this is a p net to PP 117 00:11:46,800 --> 00:11:54,060 ratio. And this is let's sensitive to the modeling of the process in pp. So we 118 00:11:54,060 --> 00:11:59,940 directly see the medications that they give. Again, move now to photons. 119 00:12:00,000 --> 00:12:04,200 Important collisions. So they're also expected to be sensitive to the initial 120 00:12:04,200 --> 00:12:09,540 state i just been in an ETF. So here we see that the main modification with 121 00:12:09,540 --> 00:12:14,220 respect to a flatline to a flat outlet is simply as a spin. So different grouping of 122 00:12:14,550 --> 00:12:20,550 photons to up and down quarks and different mixtures and we have various 123 00:12:20,550 --> 00:12:29,850 tones in the ledgers and the data agree better with the when you pay 16 receipt, 124 00:12:30,120 --> 00:12:34,680 for instance, here in the center, but okay, the consensus orbits model here, 125 00:12:35,460 --> 00:12:42,750 given the composition, and also from CMS, we have a new paper on photon position 126 00:12:42,750 --> 00:12:51,840 pump photon pollution in lead collisions. And, and this is also sensitive to PDFs 127 00:12:51,900 --> 00:12:58,470 though not very sensitive because again, we have we don't expect very large effects 128 00:12:58,500 --> 00:13:04,320 on the job PDFs. And the uncertainties asked to do much better than the previous 129 00:13:04,320 --> 00:13:10,980 results of cosmic maybe not fully precise enough to to see this more nuclear PDF 130 00:13:10,980 --> 00:13:18,450 effects here. Okay, I'll move for the last few minutes to prepare for collisions and 131 00:13:18,450 --> 00:13:19,020 then 132 00:13:19,379 --> 00:13:20,279 the peak meter. 133 00:13:21,450 --> 00:13:26,940 Yes. So, here the idea is to use the lead ions as a source of material photons. And 134 00:13:26,940 --> 00:13:30,660 they can be used as a probe of the political structure and we have some 135 00:13:30,660 --> 00:13:37,650 sensitivity to ups especially for instance with photonic your prediction as the 136 00:13:37,650 --> 00:13:39,540 production site as shown on the right. 137 00:13:40,049 --> 00:13:42,239 Do you have two minutes? Okay. 138 00:13:44,549 --> 00:13:46,529 Just a world first about Graco Yeah, 139 00:13:46,530 --> 00:13:52,050 in photon photon photon lead collisions with some of the synthesis from Allison 140 00:13:52,050 --> 00:13:57,510 LCB. Go here on gypsy in delegations equations and then on the right this is a 141 00:13:57,510 --> 00:14:03,330 coherent epsilon prediction input. equations from CMS and the data are 142 00:14:03,330 --> 00:14:08,550 compared to many different kinds of models with leading all their own excluding other 143 00:14:08,550 --> 00:14:16,230 and different implementations of billing situation. And we see that okay, the data 144 00:14:16,230 --> 00:14:21,390 is already telling us something about these models I mentioned earlier for 145 00:14:21,420 --> 00:14:27,780 nuclear jets. So here is again a sketch of how these are produced. So we're putting 146 00:14:27,810 --> 00:14:36,270 probing gluons in the in the lead nucleus. And the photon lead interactions are 147 00:14:36,330 --> 00:14:42,270 selected using GCC ability gaps. And then the data compared to PCR with a photon 148 00:14:42,270 --> 00:14:48,510 spectrum which is related to predictions from satellite and naturally shown here 149 00:14:48,510 --> 00:14:55,650 but as discussed earlier, we this process is sensitive to nuclear PDFs and just 150 00:14:55,650 --> 00:14:59,970 quickly flash the slide on the clock on the on the heavy flavor which are more 151 00:15:00,000 --> 00:15:05,850 produced in Korean fusion and so we have sensitivity to pure nuclear PDFs and very 152 00:15:05,850 --> 00:15:13,380 small x square, chunky, the precision is quite limited. They have logical sections. 153 00:15:13,740 --> 00:15:19,020 So here I'm interested in many different results from Allison lcV. And the 154 00:15:19,050 --> 00:15:26,100 experimental precision is is is really excellent. The difficulty is to process by 155 00:15:26,100 --> 00:15:31,890 process to to make sure that to study the importance of higher twist or 156 00:15:31,890 --> 00:15:37,500 factorization breaking effects one place where I think it's obvious is here when 157 00:15:37,500 --> 00:15:45,150 compared to FCM say to us up yet so we have PP in for Patel equation says 158 00:15:45,150 --> 00:15:50,190 efficient ability for medics and we see here that a twist is different from GPI 159 00:15:50,610 --> 00:15:52,200 meaning that navely 160 00:15:53,580 --> 00:15:54,660 okay chip say 161 00:15:55,889 --> 00:16:01,709 we have to see if def sec can be included in in PDF IDs Problem site with cannot 162 00:16:01,709 --> 00:16:07,079 because we don't really expect I mean, from the nuclear PDF point of view, we 163 00:16:07,079 --> 00:16:11,489 don't really expect big differences between chips I am say two. So, probably 164 00:16:11,489 --> 00:16:16,499 some other effects are in play for from say twice that may be different from from 165 00:16:16,499 --> 00:16:24,899 Gypsy. But for the other data we see that these are quite precise data and there is 166 00:16:24,899 --> 00:16:31,109 a lot of ongoing discussions from from the service side to see how these data can be 167 00:16:31,109 --> 00:16:38,279 included to counseling therapy. Yes, audience mics and some just in here since 168 00:16:38,279 --> 00:16:46,739 an out of time with a sorority. So, we have really a lot of recent results on 169 00:16:47,459 --> 00:16:52,109 experimental results sensitive to initial state, the uncertainties are getting quite 170 00:16:52,109 --> 00:16:57,029 small and they will get even smaller in the future of course, but we saw also that 171 00:16:57,029 --> 00:17:00,899 depending on the process, the entropy of interpretation Not the wayside for a 172 00:17:00,899 --> 00:17:06,059 while, we have to keep in mind details of patterning, process modeling, geometric 173 00:17:06,059 --> 00:17:12,089 scaling, factorization, breaking effects. Thank you. 174 00:17:13,530 --> 00:17:17,010 Thank you. Thanks so much for this interesting talk, you really covered a 175 00:17:17,010 --> 00:17:23,880 wide range of experimental probes. So we now have just maybe a minute or two we 176 00:17:23,880 --> 00:17:28,590 could take a question. If you have a question, please press the raised hand 177 00:17:28,590 --> 00:17:32,280 button that you have. Okay. I see a question from question. 178 00:17:34,800 --> 00:17:41,670 Yes. So, I mean, can you go to your page two slides, can you I mean, probably not 179 00:17:41,670 --> 00:17:49,410 in question. And can you explain a bit why four w plus w minus a. 180 00:17:50,850 --> 00:17:56,940 Now these suck me next next page sorry, x base on is I have WPS Yes, this one so 181 00:17:56,940 --> 00:18:07,320 left hand so why w plus the b minus they are different. I have different I. Oh, 182 00:18:07,320 --> 00:18:09,390 yes, sorry. So they have different 183 00:18:11,880 --> 00:18:13,680 so I'll try to explain it quick. But 184 00:18:14,010 --> 00:18:15,780 simply because the 185 00:18:15,810 --> 00:18:21,990 the coupling of W buttons to up and down quarks is different, and they also have 186 00:18:21,990 --> 00:18:29,940 different probability distributions. So So that's, that's why and so this ratio of w 187 00:18:29,940 --> 00:18:34,980 plus to w minus is different in the lead to pp. Again, because of I just been 188 00:18:34,980 --> 00:18:35,820 effects, so. 189 00:18:37,440 --> 00:18:39,090 Okay, I see, I would need a sketch. 190 00:18:39,749 --> 00:18:41,669 He does, but in short, this is the reason. 191 00:18:41,850 --> 00:18:43,800 Okay, okay. I see. Okay. Thank you. 192 00:18:46,710 --> 00:18:52,260 Very good. Thanks. So I think that we should move on to the next talk in order 193 00:18:52,260 --> 00:18:55,020 to keep with the agenda, but just a reminder that we will