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1. Multi-Query Shortest-Path Problem in Graphs of Convex Sets

Author: Morozov, Savva, Marcucci, Tobia, Amice, Alexandre, Graesdal, Bernhard Paus, Bosworth, Rohan, Parrilo, Pablo A., and Tedrake, Russ
Subjects: Computer Science - Robotics
Abstract: The Shortest-Path Problem in Graph of Convex Sets (SPP in GCS) is a recently developed optimization framework that blends discrete and continuous decision making. Many relevant problems in robotics, such as collision-free motion planning, can be cast and solved as an SPP in GCS, yielding lower-cost solutions and faster runtimes than state-of-the-art algorithms. In this paper, we are motivated by motion planning of robot arms that must operate swiftly in static environments. We consider a multi-query extension of the SPP in GCS, where the goal is to efficiently precompute optimal paths between given sets of initial and target conditions. Our solution consists of two stages. Offline, we use semidefinite programming to compute a coarse lower bound on the problem's cost-to-go function. Then, online, this lower bound is used to incrementally generate feasible paths by solving short-horizon convex programs. For a robot arm with seven joints, our method designs higher quality trajectories up to two orders of magnitude faster than existing motion planners., Comment: To appear in: The International Workshop on the Algorithmic Foundations of Robotics, WAFR 2024
Published: 2024

2. Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts

Author: Hemforth, Lisa, Couvy-Duchesne, Baptiste, De Matos, Kevin, Brianceau, Camille, Joulot, Matthieu, Banaschewski, Tobias, Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Papadopoulos, Dimitri, Lemaitre, Herve, Paus, Tomas, Poustka, Luise, Hohmann, Sarah, Holz, Nathalie, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Büchel, Christian, Poline, JB, Itterman, Bernd, Frouin, Vincent, Martin, Alexandre, group, IMAGEN study, Cury, Claire, and Colliot, Olivier
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition
Abstract: Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population. IHI can be visually assessed on coronal slices of T1 weighted MR images, using a composite score that combines four anatomical criteria. IHI has been associated with several brain disorders (epilepsy, schizophrenia). However, these studies were based on small samples. Furthermore, the factors (genetic or environmental) that contribute to the genesis of IHI are largely unknown. Large-scale studies are thus needed to further understand IHI and their potential relationships to neurological and psychiatric disorders. However, visual evaluation is long and tedious, justifying the need for an automatic method. In this paper, we propose, for the first time, to automatically rate IHI. We proceed by predicting four anatomical criteria, which are then summed up to form the IHI score, providing the advantage of an interpretable score. We provided an extensive experimental investigation of different machine learning methods and training strategies. We performed automatic rating using a variety of deep learning models (conv5-FC3, ResNet and SECNN) as well as a ridge regression. We studied the generalization of our models using different cohorts and performed multi-cohort learning. We relied on a large population of 2,008 participants from the IMAGEN study, 993 and 403 participants from the QTIM/QTAB studies as well as 985 subjects from the UKBiobank. We showed that deep learning models outperformed a ridge regression. We demonstrated that the performances of the conv5-FC3 network were at least as good as more complex networks while maintaining a low complexity and computation time. We showed that training on a single cohort may lack in variability while training on several cohorts improves generalization., Comment: Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2024:016
Published: 2024
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3. GCS*: Forward Heuristic Search on Implicit Graphs of Convex Sets

Author: Chia, Shao Yuan Chew, Jiang, Rebecca H., Graesdal, Bernhard Paus, Kaelbling, Leslie Pack, and Tedrake, Russ
Subjects: Computer Science - Robotics
Abstract: We consider large-scale, implicit-search-based solutions to Shortest Path Problems on Graphs of Convex Sets (GCS). We propose GCS*, a forward heuristic search algorithm that generalizes A* search to the GCS setting, where a continuous-valued decision is made at each graph vertex, and constraints across graph edges couple these decisions, influencing costs and feasibility. Such mixed discrete-continuous planning is needed in many domains, including motion planning around obstacles and planning through contact. This setting provides a unique challenge for best-first search algorithms: the cost and feasibility of a path depend on continuous-valued points chosen along the entire path. We show that by pruning paths that are cost-dominated over their entire terminal vertex, GCS* can search efficiently while still guaranteeing cost-optimality and completeness. To find satisficing solutions quickly, we also present a complete but suboptimal variation, pruning instead reachability-dominated paths. We implement these checks using polyhedral-containment or sampling-based methods. The former implementation is complete and cost-optimal, while the latter is probabilistically complete and asymptotically cost-optimal and performs effectively even with minimal samples in practice. We demonstrate GCS* on planar pushing tasks where the combinatorial explosion of contact modes renders prior methods intractable and show it performs favorably compared to the state-of-the-art. Project website: https://shaoyuan.cc/research/gcs-star/, Comment: Accepted to WAFR 2024. Conference Ready Version
Published: 2024

4. Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter

Author: Aamir, M., Acar, B., Adamov, G., Adams, T., Adloff, C., Afanasiev, S., Agrawal, C., Ahmad, A., Ahmed, H. A., Akbar, S., Akchurin, N., Akgul, B., Akgun, B., Akpinar, R. O., Aktas, E., AlKadhim, A., Alexakhin, V., Alimena, J., Alison, J., Alpana, A., Alshehri, W., Dominguez, P. Alvarez, Alyari, M., Amendola, C., Amir, R. B., Andersen, S. B., Andreev, Y., Antoszczuk, P. D., Aras, U., Ardila, L., Aspell, P., Avila, M., Awad, I., Aydilek, O., Azimi, Z., Pretel, A. Aznar, Bach, O. A., Bainbridge, R., Bakshi, A., Bam, B., Banerjee, S., Barney, D., Bayraktar, O., Beaudette, F., Beaujean, F., Becheva, E., Behera, P. K., Belloni, A., Bergauer, T., Besancon, M., Bylund, O. Bessidskaia, Bhatt, L., Bhowmil, D., Blekman, F., Blinov, P., Bloch, P., Bodek, A., Boger, a., Bonnemaison, A., Bouyjou, F., Brennan, L., Brondolin, E., Brusamolino, A., Bubanja, I., Perraguin, A. Buchot, Bunin, P., Misura, A. Burazin, Butler-nalin, A., Cakir, A., Callier, S., Campbell, S., Canderan, K., Cankocak, K., Cappati, A., Caregari, S., Carron, S., Carty, C., Cauchois, A., Ceard, L., Cerci, S., Chang, P. J., Chatterjee, R. M., Chatterjee, S., Chattopadhyay, P., Chatzistavrou, T., Chaudhary, M. S., Chauhan, A., Chen, J. A., Chen, J., Chen, Y., Cheng, K., Cheung, H., Chhikara, J., Chiron, A., Chiusi, M., Chokheli, D., Chudasama, R., Clement, E., Mendez, S. Coco, Coko, D., Coskun, K., Couderc, F., Crossman, B., Cui, Z., Cuisset, T., Cummings, G., Curtis, E. M., D'Alfonso, M., D-hler-ball, J., Dadazhanova, O., Damgov, J., Das, I., DasGupta, S., Dauncey, P., Mendes, A. David Tinoco, Davies, G., Davignon, O., DeLa, P. deBarbaroC., DeSilva, M., DeWit, A., Debbins, P., Defranchis, M. M., Delagnes, E., Devouge, P., Dewangan, C., DiGuglielmo, G., Diehl, L., Dilsiz, K., Dincer, G. G., Dittmann, J., Dragicevic, M., Du, D., Dubinchik, B., Dugad, S., Dulucq, F., Dumanoglu, I., Duran, B., Dutta, S., Dutta, V., Dychkant, A., Dünser, M., Edberg, T., Ehle, I. T., Berni, A. El, Elias, F., Eno, S. C., Erdogan, E. N., Erkmen, B., Ershov, Y., Ertorer, E. Y., Extier, S., Eychenne, L., Fedar, Y. E., Fedi, G., De Almeida, J. P. Figueiredo De De Sá Sousa, Alves, B. A. Fontana Santos Santos, Frahm, E., Francis, K., Freeman, J., French, T., Gaede, F., Gandhi, P. K., Ganjour, S., Garcia-Bellido, A., Gastaldi, F., Gazi, L., Gecse, Z., Gerwig, H., Gevin, O., Ghosh, S., Gill, K., Gleyzer, S., Godinovic, N., Goek, M., Goettlicher, P., Goff, R., Golunov, A., Gonultas, B., Martínez, J. D. González, Gorbounov, N., Gouskos, L., Gray, A., Gray, L., Grieco, C., Groenroos, S., Groner, D., Gruber, A., Grummer, A., Grönroos, S., Guilloux, F., Guler, Y., Gungordu, A. D., Guo, J., Guo, K., Guler, E. Gurpinar, Gutti, H. K., Guvenli, A. A., Gülmez, E., Hacisahinoglu, B., Halkin, Y., Machado, G. Hamilton Ilha, Hare, H. S., Hatakeyama, K., Heering, A. H., Hegde, V., Heintz, U., Hinton, N., Hinzmann, A., Hirschauer, J., Hitlin, D., Hos, İ., Hou, B., Hou, X., Howard, A., Howe, C., Hsieh, H., Hsu, T., Hua, H., Hummer, F., Imran, M., Incandela, J., Iren, E., Isildak, B., Jackson, P. S., Jackson, W. J., Jain, S., Jana, P., Jaroslavceva, J., Jena, S., Jige, A., Jordano, P. P., Joshi, U., Kaadze, K., Kafizov, A., Kalipoliti, L., Tharayil, A. Kallil, Kaluzinska, O., Kamble, S., Kaminskiy, A., Kanemura, M., Kanso, H., Kao, Y., Kapic, A., Kapsiak, C., Karjavine, V., Karmakar, S., Karneyeu, A., Kaya, M., Topaksu, A. Kayis, Kaynak, B., Kazhykarim, Y., Khan, F. A., Khudiakov, A., Kieseler, J., Kim, R. S., Klijnsma, T., Kloiber, E. G., Klute, M., Kocak, Z., Kodali, K. R., Koetz, K., Kolberg, T., Kolcu, O. B., Komaragiri, J. R., Komm, M., Kopsalis, I., Krause, H. A., Krawczyk, M. A., Vinayakam, T. R. Krishnaswamy, Kristiansen, K., Kristic, A., Krohn, M., Kronheim, B., Krüger, K., Kudtarkar, C., Kulis, S., Kumar, M., Kumar, N., Kumar, S., Verma, R. Kumar, Kunori, S., Kunts, A., Kuo, C., Kurenkov, A., Kuryatkov, V., Kyre, S., Ladenson, J., Lamichhane, K., Landsberg, G., Langford, J., Laudrain, A., Laughlin, R., Lawhorn, J., Dortz, O. Le, Lee, S. W., Lektauers, A., Lelas, D., Leon, M., Levchuk, L., Li, A. J., Li, J., Li, Y., Liang, Z., Liao, H., Lin, K., Lin, W., Lin, Z., Lincoln, D., Linssen, L., Litomin, A., Liu, G., Liu, Y., Lobanov, A., Lohezic, V., Loiseau, T., Lu, C., Lu, R., Lu, S. Y., Lukens, P., Mackenzie, M., Magnan, A., Magniette, F., Mahjoub, A., Mahon, D., Majumder, G., Makarenko, V., Malakhov, A., Malgeri, L., Mallios, S., Mandloi, C., Mankel, A., Mannelli, M., Mans, J., Mantilla, C., Martinez, G., Massa, C., Masterson, P., Matthewman, M., Matveev, V., Mayekar, S., Mazlov, I., Mehta, A., Mestvirishvili, A., Miao, Y., Milella, G., Mirza, I. R., Mitra, P., Moccia, S., Mohanty, G. B., Monti, F., Moortgat, F., Murthy, S., Music, J., Musienko, Y., Nabili, S., Nayak, S., Nelson, J. W., Nema, A., Neutelings, I., Niedziela, J., Nikitenko, A., Noonan, D., Noy, M., Nurdan, K., Obraztsov, S., Ochando, C., Ogul, H., Olsson, J., Onel, Y., Ozkorucuklu, S., Paganis, E., Palit, P., Pan, R., Pandey, S., Pantaleo, F., Papageorgakis, C., Paramesvaran, S., Paranjpe, M. M., Parolia, S., Parsons, A. G., Parygin, P., Paulini, M., Paus, C., Peñaló, K., Pedro, K., Pekic, V., Peltola, T., Peng, B., Perego, A., Perini, D., Petrilli, A., Pham, H., Pierre-Emile, T., Podem, S. K., Popov, V., Portales, L., Potok, O., Pradeep, P. B., Pramanik, R., Prosper, H., Prvan, M., Qasim, S. R., Qu, H., Quast, T., Trivino, A. Quiroga, Rabour, L., Raicevic, N., Rajpoot, H., Rao, M. A., Rapacz, K., Redjeb, W., Reinecke, M., Revering, M., Roberts, A., Rohlf, J., Rosado, P., Rose, A., Rothman, S., Rout, P. K., Rovere, M., Rumerio, P., Rusack, R., Rygaard, L., Ryjov, V., Sadivnycha, S., Sahin, M. Ö., Sakarya, U., Salerno, R., Saradhy, R., Saraf, M., Sarbandi, K., Sarkisla, M. A., Satyshev, I., Saud, N., Sauvan, J., Schindler, G., Schmidt, A., Schmidt, I., Schmitt, M. H., Sculac, A., Sculac, T., Sedelnikov, A., Seez, C., Sefkow, F., Selivanova, D., Selvaggi, M., Sergeychik, V., Sert, H., Shahid, M., Sharma, P., Sharma, R., Sharma, S., Shelake, M., Shenai, A., Shih, C. W., Shinde, R., Shmygol, D., Shukla, R., Sicking, E., Silva, P., Simsek, C., Simsek, E., Sirasva, B. K., Sirois, Y., Song, S., Song, Y., Soudais, G., Sriram, S., StJacques, R. R., StahlLeiton, A. G., Steen, A., Stein, J., Strait, J., Strobbe, N., Su, X., Sukhov, E., Suleiman, A., Cerci, D. Sunar, Suryadevara, P., Swain, K., Syal, C., Tali, B., Tanay, K., Tang, W., Tanvir, A., Tao, J., Tarabini, A., Tatli, T., Taylor, R., Taysi, Z. C., Teafoe, G., Tee, C. Z., Terrill, W., Thienpont, D., Thomas, R., Titov, M., Todd, C., Todd, E., Toms, M., Tosun, A., Troska, J., Tsai, L., Tsamalaidze, Z., Tsionou, D., Tsipolitis, G., Tsirigoti, M., Tu, R., Polat, S. N. Tural, Undleeb, S., Usai, E., Uslan, E., Ustinov, V., Vernazza, E., Viahin, O., Viazlo, O., Vichoudis, P., Vijay, A., Virdee, T., Voirin, E., Vojinovic, M., Voytishin, N., Vámi, T. Á., Wade, A., Walter, D., Wang, C., Wang, F., Wang, J., Wang, K., Wang, X., Wang, Y., Wang, Z., Wanlin, E., Wayne, M., Wetzel, J., Whitbeck, A., Wickwire, R., Wilmot, D., Wilson, J., Wu, H., Xiao, M., Yang, J., Yazici, B., Ye, Y., Yetkin, T., Yi, R., Yohay, R., Yu, T., Yuan, C., Yuan, X., Yuksel, O., YushmanoV, I., Yusuff, I., Zabi, A., Zareckis, D., Zarubin, A., Zehetner, P., Zghiche, A., Zhang, C., Zhang, D., Zhang, H., Zhang, J., Zhang, Z., Zhao, X., Zhong, J., Zhou, Y., and Zorbilmez, Ç.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Physics - Data Analysis, Statistics and Probability
Abstract: A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transverse and longitudinal granularity. The active media are silicon sensors and scintillator tiles readout by SiPMs and the absorbers are a combination of lead and Cu/CuW in the electromagnetic section, and steel in the hadronic section. The shower reconstruction method is based on graph neural networks and it makes use of a dynamic reduction network architecture. It is shown that the algorithm is able to capture and mitigate the main effects that normally hinder the reconstruction of hadronic showers using classical reconstruction methods, by compensating for fluctuations in the multiplicity, energy, and spatial distributions of the shower's constituents. The performance of the algorithm is evaluated using test beam data collected in 2018 prototype of the CMS HGCAL accompanied by a section of the CALICE AHCAL prototype. The capability of the method to mitigate the impact of energy leakage from the calorimeter is also demonstrated., Comment: Prepared for submission to JINST
Published: 2024

5. Towards Tight Convex Relaxations for Contact-Rich Manipulation

Author: Graesdal, Bernhard Paus, Chia, Shao Yuan Chew, Marcucci, Tobia, Morozov, Savva, Amice, Alexandre, Parrilo, Pablo A., and Tedrake, Russ
Subjects: Computer Science - Robotics
Abstract: We present a novel method for global motion planning of robotic systems that interact with the environment through contacts. Our method directly handles the hybrid nature of such tasks using tools from convex optimization. We formulate the motion-planning problem as a shortest-path problem in a graph of convex sets, where a path in the graph corresponds to a contact sequence and a convex set models the quasi-static dynamics within a fixed contact mode. For each contact mode, we use semidefinite programming to relax the nonconvex dynamics that results from the simultaneous optimization of the object's pose, contact locations, and contact forces. The result is a tight convex relaxation of the overall planning problem, that can be efficiently solved and quickly rounded to find a feasible contact-rich trajectory. As an initial application for evaluating our method, we apply it on the task of planar pushing. Exhaustive experiments show that our convex-optimization method generates plans that are consistently within a small percentage of the global optimum, without relying on an initial guess, and that our method succeeds in finding trajectories where a state-of-the-art baseline for contact-rich planning usually fails. We demonstrate the quality of these plans on a real robotic system.
Published: 2024

6. Development and Maturation of the Human Brain, from Infancy to Adolescence

Author: Paus, Tomáš, Ellenbroek, Bart A., Series Editor, Barnes, Thomas R. E., Series Editor, Andersen, Susan L., Series Editor, Paulus, Martin P., Series Editor, Olivier, Jocelien, Series Editor, Paus, Tomáš, editor, Brook, Jeffrey R., editor, Keyes, Katherine, editor, and Pausova, Zdenka, editor
Published: 2024
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7. Population Neuroscience: Principles and Advances

Author: Paus, Tomáš, Ellenbroek, Bart A., Series Editor, Barnes, Thomas R. E., Series Editor, Andersen, Susan L., Series Editor, Paulus, Martin P., Series Editor, Olivier, Jocelien, Series Editor, Paus, Tomáš, editor, Brook, Jeffrey R., editor, Keyes, Katherine, editor, and Pausova, Zdenka, editor
Published: 2024
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8. Media Competence: Challenges in Dealing with Converging Media Offerings

Author: Paus-Hasebrink, Ingrid, Krone, Jan, editor, and Pellegrini, Tassilo, editor
Published: 2024
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9. Human Brain and Behavior in the Geospatial Context: Why and How

Author: Paus, Tomas and Kühn, Simone, editor
Published: 2024
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10. Design of the ECCE Detector for the Electron Ion Collider

Author: Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Conroy, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C. T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Gwenian, C., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P. -h. J., Huang, J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C. E., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, X., Liang, Y. T., Lim, S., Lin, C. -H., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Orešić, S., Osborn, J. D., O'Shaughnessy, C., Paganis, S., Papandreou, Z, Pate, S. F., Patel, M., Paus, C., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K., Røed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zhang, J., Zhang, Y., Zhao, Y. X., Zheng, X., and Zhuang, P.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The EIC Comprehensive Chromodynamics Experiment (ECCE) detector has been designed to address the full scope of the proposed Electron Ion Collider (EIC) physics program as presented by the National Academy of Science and provide a deeper understanding of the quark-gluon structure of matter. To accomplish this, the ECCE detector offers nearly acceptance and energy coverage along with excellent tracking and particle identification. The ECCE detector was designed to be built within the budget envelope set out by the EIC project while simultaneously managing cost and schedule risks. This detector concept has been selected to be the basis for the EIC project detector., Comment: 34 pages, 30 figures, 9 tables
Published: 2022

11. Detector Requirements and Simulation Results for the EIC Exclusive, Diffractive and Tagging Physics Program using the ECCE Detector Concept

Author: Bylinkin, A., Dean, C. T., Fegan, S., Gangadharan, D., Gates, K., Kay, S. J. D., Korover, I., Li, W. B., Li, X., Montgomery, R., Nguyen, D., Penman, G., Pybus, J. R., Santiesteban, N., Trotta, R., Usman, A., Baker, M. D., Frantz, J., Glazier, D. I., Higinbotham, D. W., Horn, T., Huang, J., Huber, G., Reed, R., Roche, J., Schmidt, A., Steinberg, P., Stevens, J., Goto, Y., Camacho, C. Munoz, Murray, M., Papandreou, Z., Zha, W., Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Demarteau, M., Diehl, S., Doshita, N., Dupre, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Finger, M., Finger Jr., M., Friedman, M., Friscic, I., Gardner, S., Geurts, F., Gilman, R., Glimos, E., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Hoballah, M., Hoghmrtsyan, A., Hsu, P. -h. J., Hutson, A., Hwang, K. Y., Hyde, C. E., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Liang, Y. T., Lim, S., Lin, C. -h., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Morrison, D., Movsisyan, A., Mkrtchyan, H., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Oresic, S., Osborn, J. D., O'Shaughnessy, C., Paganis, S., Pate, S. F., Patel, M., Paus, C., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K. F., Roed, K., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santos, R., Sarsour, M., Schambach, J., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Stepanov, P., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Tveter, T. S., Umaka, E., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zhang, J. -L., and Zhang, J. -X.
Subjects: Physics - Instrumentation and Detectors, Nuclear Experiment
Abstract: This article presents a collection of simulation studies using the ECCE detector concept in the context of the EIC's exclusive, diffractive, and tagging physics program, which aims to further explore the rich quark-gluon structure of nucleons and nuclei. To successfully execute the program, ECCE proposed to utilize the detecter system close to the beamline to ensure exclusivity and tag ion beam/fragments for a particular reaction of interest. Preliminary studies confirmed the proposed technology and design satisfy the requirements. The projected physics impact results are based on the projected detector performance from the simulation at 10 or 100 fb^-1 of integrated luminosity. Additionally, a few insights on the potential 2nd Interaction Region can (IR) were also documented which could serve as a guidepost for the future development of a second EIC detector.
Published: 2022
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12. ECCE unpolarized TMD measurements

Author: Seidl, R., Vladimirov, A., Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C. T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P. -h. J., Huang, J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C. E., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, X., Liang, Y. T., Lim, S., Lin, C. -H., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Orešić, S., Osborn, J. D., O'Shaughnessy, C., Paganis, S., Papandreou, Z, Pate, S. F., Patel, M., Paus, C., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K., Røed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zhang, J., Zhang, Y., Zhao, Y. X., Zheng, X., and Zhuang, P.
Subjects: High Energy Physics - Experiment
Abstract: We performed feasibility studies for various measurements that are related to unpolarized TMD distribution and fragmentation functions. The processes studied include semi-inclusive Deep inelastic scattering (SIDIS) where single hadrons (pions and kaons) were detected in addition to the scattered DIS lepton. The single hadron cross sections and multiplicities were extracted as a function of the DIS variables $x$ and $Q^2$, as well as the semi-inclusive variables $z$, which corresponds to the momentum fraction the detected hadron carries relative to the struck parton and $P_T$, which corresponds to the transverse momentum of the detected hadron relative to the virtual photon. The expected statistical precision of such measurements is extrapolated to accumulated luminosities of 10 fb$^{-1}$ and potential systematic uncertainties are approximated given the deviations between true and reconstructed yields., Comment: 12 pages, 9 figures, to be submitted in joint ECCE proposal NIM-A volume
Published: 2022
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13. ECCE Sensitivity Studies for Single Hadron Transverse Single Spin Asymmetry Measurements

Author: Seidl, R., Vladimirov, A., Pitonyak, D., Prokudin, A., Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C. T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P. -h. J., Huang, J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C. E., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, X., Liang, Y. T., Lim, S., Lin, C. -H., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Orešić, S., Osborn, J. D., O'Shaughnessy, C., Paganis, S., Papandreou, Z, Pate, S. F., Patel, M., Paus, C., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K., Røed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zhang, J., Zhang, Y., Zhao, Y. X., Zheng, X., and Zhuang, P.
Subjects: High Energy Physics - Experiment
Abstract: We performed feasibility studies for various single transverse spin measurements that are related to the Sivers effect, transversity and the tensor charge, and the Collins fragmentation function. The processes studied include semi-inclusive deep inelastic scattering (SIDIS) where single hadrons (pions and kaons) were detected in addition to the scattered DIS lepton. The data were obtained in {\sc pythia}6 and {\sc geant}4 simulated e+p collisions at 18 GeV on 275 GeV, 18 on 100, 10 on 100, and 5 on 41 that use the ECCE detector configuration. Typical DIS kinematics were selected, most notably $Q^2 > 1 $ GeV$^2$, and cover the $x$ range from $10^{-4}$ to $1$. The single spin asymmetries were extracted as a function of $x$ and $Q^2$, as well as the semi-inclusive variables $z$, and $P_T$. They are obtained in azimuthal moments in combinations of the azimuthal angles of the hadron transverse momentum and transverse spin of the nucleon relative to the lepton scattering plane. The initially unpolarized MonteCarlo was re-weighted in the true kinematic variables, hadron types and parton flavors based on global fits of fixed target SIDIS experiments and $e^+e^-$ annihilation data. The expected statistical precision of such measurements is extrapolated to 10 fb$^{-1}$ and potential systematic uncertainties are approximated given the deviations between true and reconstructed yields. The impact on the knowledge of the Sivers functions, transversity and tensor charges, and the Collins function has then been evaluated in the same phenomenological extractions as in the Yellow Report. The impact is found to be comparable to that obtained with the parameterized Yellow Report detector and shows that the ECCE detector configuration can fulfill the physics goals on these quantities., Comment: 22 pages, 22 figures, to be submitted to joint ECCE proposal NIM-A volume
Published: 2022
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14. Open Heavy Flavor Studies for the ECCE Detector at the Electron Ion Collider

Author: Li, X., Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C. T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P. -h. J., Huang, J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C. E., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, W. B., Liang, Y. T., Lim, S., Lin, C. -H., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Orešić, S., Osborn, J. D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S. F., Patel, M., Paus, C., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K. F., Røed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zha, W., Zhang, J. -L., Zhang, J. -X., Zhang, Y., Zhao, Y. -X., Zheng, X., and Zhuang, P.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract: The ECCE detector has been recommended as the selected reference detector for the future Electron-Ion Collider (EIC). A series of simulation studies have been carried out to validate the physics feasibility of the ECCE detector. In this paper, detailed studies of heavy flavor hadron and jet reconstruction and physics projections with the ECCE detector performance and different magnet options will be presented. The ECCE detector has enabled precise EIC heavy flavor hadron and jet measurements with a broad kinematic coverage. These proposed heavy flavor measurements will help systematically study the hadronization process in vacuum and nuclear medium especially in the underexplored kinematic region., Comment: Open heavy flavor studies with the EIC reference detector design by the ECCE consortium. 11 pages, 11 figures, to be submitted to the Nuclear Instruments and Methods A
Published: 2022

15. Exclusive J/$\psi$ Detection and Physics with ECCE

Author: Li, X., Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C. T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P. -h. J., Huang, J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C. E., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, W. B., Liang, Y. T., Lim, S., Lin, C. -H., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Orešić, S., Osborn, J. D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S. F., Patel, M., Paus, C., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K. F., Røed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zha, W., Zhang, J. -L., Zhang, J. -X., Zhang, Y., Zhao, Y. -X., Zheng, X., and Zhuang, P.
Subjects: Nuclear Experiment, Physics - Instrumentation and Detectors
Abstract: Exclusive heavy quarkonium photoproduction is one of the most popular processes in EIC, which has a large cross section and a simple final state. Due to the gluonic nature of the exchange Pomeron, this process can be related to the gluon distributions in the nucleus. The momentum transfer dependence of this process is sensitive to the interaction sites, which provides a powerful tool to probe the spatial distribution of gluons in the nucleus. Recently the problem of the origin of hadron mass has received lots of attention in determining the anomaly contribution $M_{a}$. The trace anomaly is sensitive to the gluon condensate, and exclusive production of quarkonia such as J/$\psi$ and $\Upsilon$ can serve as a sensitive probe to constrain it. In this paper, we present the performance of the ECCE detector for exclusive J/$\psi$ detection and the capability of this process to investigate the above physics opportunities with ECCE., Comment: 11 pages, 14 figures, 1 table
Published: 2022
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16. Search for $e\to\tau$ Charged Lepton Flavor Violation at the EIC with the ECCE Detector

Author: Zhang, J. -L., Mantry, S., Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C. T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P. -h. J., Huang, J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C. E., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, W. B., Li, X., Liang, Y. T., Lim, S., Lin, C. -H., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Orešić, S., Osborn, J. D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S. F., Patel, M., Paus, C., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K. F., Røed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zha, W., Zhang, J. -X., Zhang, Y., Zhao, Y. -X., Zheng, X., and Zhuang, P.
Subjects: High Energy Physics - Phenomenology
Abstract: The recently approved Electron-Ion Collider (EIC) will provide a unique new opportunity for searches of charged lepton flavor violation (CLFV) and other new physics scenarios. In contrast to the $e \leftrightarrow \mu$ CLFV transition for which very stringent limits exist, there is still a relatively large discovery space for the $e \to \tau$ CLFV transition, potentially to be explored by the EIC. With the latest detector design of ECCE (EIC Comprehensive Chromodynamics Experiment) and projected integral luminosity of the EIC, we find the $\tau$-leptons created in the DIS process $ep\to \tau X$ are expected to be identified with high efficiency. A first ECCE simulation study, restricted to the 3-prong $\tau$-decay mode and with limited statistics for the Standard Model backgrounds, estimates that the EIC will be able to improve the current exclusion limit on $e\to \tau$ CLFV by an order of magnitude., Comment: 11 pages, 8 figures, to be submitted to NIM
Published: 2022
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17. Design and Simulated Performance of Calorimetry Systems for the ECCE Detector at the Electron Ion Collider

Author: Bock, F., Schmidt, N., Wang, P. K., Santiesteban, N., Horn, T., Huang, J., Lajoie, J., Camacho, C. Munoz, Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C. T., Demarteau, M., Diehl, S., Doshita, N., Dupre, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Hoghmrtsyan, A., Hsu, P. -h. J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C. E., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, W. B., Li, X., Liang, Y. T., Lim, S., Lin, C. -h., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Oresic, S., Osborn, J. D., Shaughnessy, C. O, Paganis, S., Papandreou, Z., Pate, S. F., Patel, M., Paus, C., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K. F., Røed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zha, W., Zhang, J. -L., Zhang, J. -X., Zhang, Y., Zhao, Y. -X., Zheng, X., and Zhuang, P.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract: We describe the design and performance the calorimeter systems used in the ECCE detector design to achieve the overall performance specifications cost-effectively with careful consideration of appropriate technical and schedule risks. The calorimeter systems consist of three electromagnetic calorimeters, covering the combined pseudorapdity range from -3.7 to 3.8 and two hadronic calorimeters. Key calorimeter performances which include energy and position resolutions, reconstruction efficiency, and particle identification will be presented., Comment: 19 pages, 22 figures, 5 tables
Published: 2022
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18. AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider

Author: Fanelli, C., Papandreou, Z., Suresh, K., Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J. C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C. T., Demarteau, M., Diehl, S., Doshita, N., Dupre, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P. -h. J., Huang, J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, W. B., Li, X., Liang, Y. T., Lim, S., Lin, C. -h., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Marchand, D., Marcisovsky, M., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Oresic, S., Osborn, J. D., O'Shaughnessy, C., Paganis, S., Pate, S. F., Patel, M., Paus, C., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K. F., Roed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zha, W., Zhang, J., Zhang, Y., Zhao, Y. X., Zheng, X., and Zhuang, P.
Subjects: Physics - Instrumentation and Detectors, Computer Science - Machine Learning, High Energy Physics - Experiment, Nuclear Experiment, Physics - Computational Physics
Abstract: The Electron-Ion Collider (EIC) is a cutting-edge accelerator facility that will study the nature of the "glue" that binds the building blocks of the visible matter in the universe. The proposed experiment will be realized at Brookhaven National Laboratory in approximately 10 years from now, with detector design and R&D currently ongoing. Notably, EIC is one of the first large-scale facilities to leverage Artificial Intelligence (AI) already starting from the design and R&D phases. The EIC Comprehensive Chromodynamics Experiment (ECCE) is a consortium that proposed a detector design based on a 1.5T solenoid. The EIC detector proposal review concluded that the ECCE design will serve as the reference design for an EIC detector. Herein we describe a comprehensive optimization of the ECCE tracker using AI. The work required a complex parametrization of the simulated detector system. Our approach dealt with an optimization problem in a multidimensional design space driven by multiple objectives that encode the detector performance, while satisfying several mechanical constraints. We describe our strategy and show results obtained for the ECCE tracking system. The AI-assisted design is agnostic to the simulation framework and can be extended to other sub-detectors or to a system of sub-detectors to further optimize the performance of the EIC detector., Comment: 16 pages, 18 figures, 2 appendices, 3 tables
Published: 2022
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19. Scientific Computing Plan for the ECCE Detector at the Electron Ion Collider

Author: Bernauer, J. C., Dean, C. T., Fanelli, C., Huang, J., Kauder, K., Lawrence, D., Osborn, J. D., Paus, C., Adkins, J. K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I. C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M. D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W. J., Brooks, M., Bueltmann, S., Bukhari, M. H. S., Bylinkin, A., Capobianco, R., Chang, W. -C., Cheon, Y., Chen, K., Chen, K. -F., Cheng, K. -Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J. M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fatemi, R., Fegan, S., Finger, M., Finger Jr., M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S. V., Guo, A. Q., Guo, L., Ha, S. K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D. W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P. -h. J., Huber, G., Hutson, A., Hwang, K. Y., Hyde, C., Inaba, M., Iwata, T., Jo, H. S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S. J. D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S. H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C. -M., Kutz, T., Lajoie, J., Lebedev, S., Lee, H., Lee, J. S. H., Lee, S. W., Lee, Y. -J., Li, W., Li, X., Liang, Y. T., Lim, S., Lin, C. -h., Lin, D. X., Liu, K., Liu, M. X., Livingston, K., Liyanage, N., Llope, W. J., Loizides, C., Long, E., Lu, R. -S., Lu, Z., Lynch, W., Marchand, D., Marcisovsky, M., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R. G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V. A., Orešić, S., O'Shaughnessy, C., Paganis, S., Papandreou, Z, Pate, S. F., Patel, M., Penman, G., Perdekamp, M. G., Perepelitsa, D. V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M. L., Putschke, J., Pybus, J. R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K., Røed, K., Reed, R., Reinhold, J., Renner, E. L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G. M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T. -A., Shih, C. -W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I. I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W. -C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T. S., Umaka, E., Usman, A., van Hecke, H. W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P. K., Wang, Q., Wang, Y., Watts, D. P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C. -P., Wood, L., Wood, M. H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H. D., Yurov, M., Zachariou, N., Zajc, W. A., Zhang, J., Zhang, Y., Zhao, Y. X., Zheng, X., and Zhuang, P.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment, Physics - Computational Physics
Abstract: The Electron Ion Collider (EIC) is the next generation of precision QCD facility to be built at Brookhaven National Laboratory in conjunction with Thomas Jefferson National Laboratory. There are a significant number of software and computing challenges that need to be overcome at the EIC. During the EIC detector proposal development period, the ECCE consortium began identifying and addressing these challenges in the process of producing a complete detector proposal based upon detailed detector and physics simulations. In this document, the software and computing efforts to produce this proposal are discussed; furthermore, the computing and software model and resources required for the future of ECCE are described.
Published: 2022
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20. Theory, phenomenology, and experimental avenues for dark showers: a Snowmass 2021 report

Author: Albouy, Guillaume, Barron, Jared, Beauchesne, Hugues, Bernreuther, Elias, Bona, Marcella, Cazzaniga, Cesare, Cesarotti, Cari, Cohen, Timothy, de Cosa, Annapaola, Curtin, David, Demiragli, Zeynep, Doglioni, Caterina, Elliot, Alison, DiPetrillo, Karri Folan, Eble, Florian, Erice, Carlos, Freer, Chad, Garcia-Bellido, Aran, Gemmell, Caleb, Genest, Marie-Hélène, di Cortona, Giovanni Grilli, Gustavino, Giuliano, Hemme, Nicoline, Holmes, Tova, Kar, Deepak, Knapen, Simon, Kulkarni, Suchita, Lavezzo, Luca, Lowette, Steven, Maier, Benedikt, Mee, Seán, Mrenna, Stephen, Nair, Harikrishnan, Niedziela, Jeremi, Papageorgakis, Christos, Parmar, Nukulsinh, Paus, Christoph, Pedro, Kevin, Peixoto, Ana, Perloff, Alexx, Plehn, Tilman, Scherb, Christiane, Schwaller, Pedro, Shelton, Jessie, Singh, Akanksha, Sinha, Sukanya, Sjöstrand, Torbjörn, Spourdalakis, Aris G. B., Stolarski, Daniel, Strassler, Matthew J., Usachov, Andrii, Sierra, Carlos Vázquez, Verhaaren, Christopher B., and Wang, Long
Subjects: High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract: In this work, we consider the case of a strongly coupled dark/hidden sector, which extends the Standard Model (SM) by adding an additional non-Abelian gauge group. These extensions generally contain matter fields, much like the SM quarks, and gauge fields similar to the SM gluons. We focus on the exploration of such sectors where the dark particles are produced at the LHC through a portal and undergo rapid hadronization within the dark sector before decaying back, at least in part and potentially with sizeable lifetimes, to SM particles, giving a range of possibly spectacular signatures such as emerging or semi-visible jets. Other, non-QCD-like scenarios leading to soft unclustered energy patterns or glueballs are also discussed. After a review of the theory, existing benchmarks and constraints, this work addresses how to build consistent benchmarks from the underlying physical parameters and present new developments for the PYTHIA Hidden Valley module, along with jet substructure studies. Finally, a series of improved search strategies is presented in order to pave the way for a better exploration of the dark showers at the LHC., Comment: Uniform notation, fixed typos, improved numerical analysis, added references, comments welcome
Published: 2022
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21. Strategy for Understanding the Higgs Physics: The Cool Copper Collider

Author: Dasu, Sridhara, Nanni, Emilio A., Peskin, Michael E., Vernieri, Caterina, Barklow, Tim, Bartoldus, Rainer, Bhat, Pushpalatha C., Black, Kevin, Brau, Jim, Breidenbach, Martin, Craig, Nathaniel, Denisov, Dmitri, Gray, Lindsey, Harris, Philip C., Kagan, Michael, Liu, Zhen, Meade, Patrick, Majernik, Nathan, Nagaitsev, Sergei, Ojalvo, Isobel, Paus, Christoph, Schroeder, Carl, Schwartzman, Ariel G., Strube, Jan, Dong, Su, Tantawi, Sami, Wang, LianTao, White, Andy, and Wilson, Graham W.
Subjects: High Energy Physics - Experiment, Physics - Accelerator Physics, Physics - Instrumentation and Detectors
Abstract: A program to build a lepton-collider Higgs factory, to precisely measure the couplings of the Higgs boson to other particles, followed by a higher energy run to establish the Higgs self-coupling and expand the new physics reach, is widely recognized as a primary focus of modern particle physics. We propose a strategy that focuses on a new technology and preliminary estimates suggest that can lead to a compact, affordable machine. New technology investigations will provide much needed enthusiasm for our field, resulting in trained workforce. This cost-effective, compact design, with technologies useful for a broad range of other accelerator applications, could be realized as a project in the US. Its technology innovations, both in the accelerator and the detector, will offer unique and exciting opportunities to young scientists. Moreover, cost effective compact designs, broadly applicable to other fields of research, are more likely to obtain financial support from our funding agencies., Comment: 11 pages, 2 figures, contribution to Snowmass 2021
Published: 2022

22. The Future Circular Collider: a Summary for the US 2021 Snowmass Process

Author: Bernardi, G., Brost, E., Denisov, D., Landsberg, G., Aleksa, M., d'Enterria, D., Janot, P., Mangano, M. L., Selvaggi, M., Zimmermann, F., Maestre, J. Alcaraz, Grojean, C., Harris, R. M., Pich, A., Vos, M., Heinemeyer, S., Giacomelli, P., Azzi, P., Bedeschi, F., Klute, M., Blondel, A., Paus, C., Simon, F., Dam, M., Barberis, E., Skinnari, L., Raubenheimer, T., Antusch, S., Altmannshofer, W., Wang, L. -T., de Blas, J., Eno, S., Lai, Yihui, Willocq, S., Qian, J., Zhu, J., Novotny, R., Seidel, S., Hildreth, M. D., Thomson, E. J., Demina, R., Gluza, J., Isidori, G., and Suarez, R. Gonzalez
Subjects: High Energy Physics - Experiment, for Snowmass 2021
Abstract: In this white paper for the 2021 Snowmass process, we give a description of the proposed Future Circular Collider (FCC) project and its physics program. The paper summarizes and updates the discussion submitted to the European Strategy on Particle Physics. After construction of an approximately 90 km tunnel, an electron-positron collider based on established technologies allows world-record instantaneous luminosities at center-of-mass energies from the Z resonance up to tt thresholds, enabling a rich set of fundamental measurements including Higgs couplings determinations at the sub percent level, precision tests of the weak and strong forces, and searches for new particles, including dark matter, both directly and via virtual corrections or mixing. Among other possibilities, the FCC-ee will be able to (i) indirectly discover new particles coupling to the Higgs and/or electroweak bosons up to scales around 7 and 50 TeV, respectively; (ii) perform competitive SUSY tests at the loop level in regions not accessible at the LHC; (iii) study heavy-flavor and tau physics in ultra-rare decays beyond the LHC reach, and (iv) achieve the best potential in direct collider searches for dark matter, sterile neutrinos, and axion-like particles with masses up to around 90 GeV. The tunnel can then be reused for a proton-proton collider, establishing record center-of-mass collision energy, allowing unprecedented reach for direct searches for new particles up to the around 50 TeV scale, and a diverse program of measurements of the Standard Model and Higgs boson, including a precision measurement of the Higgs self-coupling, and conclusively testing weakly-interacting massive particle scenarios of thermal relic dark matter., Comment: 84 pages
Published: 2022

23. Enabling U.S. participation in Future Higgs Factories

Author: Black, K., Bloom, K., Brau, J. E., Demarteau, M., Denisov, D., Elvira, D., Eno, S., Hirosky, R., Hirschauer, J., Lipton, R., Paus, C., Stern, E., White, A., and Wilson, G. W.
Subjects: High Energy Physics - Experiment, for Snowmass 2021
Abstract: Exciting proposals for a new Higgs factory collider, aimed at the search for new physics and precision studies of particles and forces, especially measurement of the Higgs boson couplings at the loop level, will be evaluated as part of the Snowmass process. Potential facilities include (among others) ILC, FCC-ee, C3, CEPC, CLIC, muon collider and advanced accelerator concepts being investigated by Snowmass topical group AF6, potentially located in Asia, Europe, or the United States. The European Strategy has endorsed an electron-positron Higgs factory as its highest priority after HL-LHC. Much of the detector, software, and physics preparative studies needed for these machines is in common, and is currently being implemented by physicists world-wide. In this white paper for the 2021 Snowmass process we look at current global activity on future Higgs factories and give examples of investments that could be made in these common areas over the next five years to establish a leadership role for the U.S. in a future Higgs factory, wherever it is built. The U.S. high energy physics program confronts a number of challenges that a strong role in the study of the Higgs boson can address. These include, in addition to the scientific results, maintaining leading roles in international partnerships, nurturing and advancing world-leading capabilities and expert resources, and maintaining and attracting talent. The international effort would benefit from increased U.S. participation, and the U.S., in turn, would maintain stature through the partnership., Comment: 14 pages
Published: 2022

24. The MRGPRX2-substance P pathway regulates mast cell migration

Author: West, Peter W., Chéret, Jérémy, Bahri, Rajia, Kiss, Orsolya, Wu, Zining, Macphee, Colin H., and Bulfone-Paus, Silvia
Published: 2024
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25. UNITY: A low-field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle-income settings

Author: Abate, F., Adu-Amankwah, A., Ae-Ngibise, KA, Agbokey, F, Agyemang, VA, Agyemang, CT, Akgun, C., Ametepe, J., Arichi, T., Asante, KP, Balaji, S., Baljer, L., Basser, PJ, Beauchemin, J., Bennallick, C., Berhane, Y., Boateng-Mensah, Y., Bourke, NJ, Bradford, L., Bruchhage, MMK, Lorente, R.Cano, Cawley, P., Cercignani, M., D Sa, V., Canha, A.de, Navarro, N.de, Dean, DC, III, Delarosa, J., Donald, KA, Dvorak, A., Edwards, AD, Field, D., Frail, H., Freeman, B., George, T., Gholam, J., Guerrero-Gonzalez, J., Hajnal, JV, Haque, R., Hollander, W., Hoodbhoy, Z., Huentelman, M., Jafri, SK, Jones, DK, Joubert, F., Karaulanov, T., Kasaro, MP, Knackstedt, S., Kolind, S., Koshy, B., Kravitz, R., Lafayette, S.Lecurieux, Lee, AC, Lena, B., Lepore, N., Linguraru, M., Ljungberg, E., Lockart, Z., Loth, E., Mannam, P., Masemola, KM, Moran, R., Murphy, D., Nakwa, FL, Nankabirwa, V., Nelson, CA, North, K., Nyame, S., O Halloran, R., O'Muircheartaigh, J., Oakley, BF, Odendaal, H., Ongeti, CM, Onyango, D., Oppong, SA, Padormo, F., Parvez, D., Paus, T., Pepper, MS, Phiri, KS, Poorman, M., Ringshaw, JE, Rogers, J., Rutherford, M., Sabir, H., Sacolick, L., Seal, M., Sekoli, ML, Shama, T., Siddiqui, K., Sindano, N., Spelke, MB, Springer, PE, Suleman, FE, Sundgren, PC, Teixeira, R., Terekegn, W., Traughber, M., Tuuli, MG, Rensburg, J.van, Váša, F., Velaphi, S., Velasco, P., Viljoen, IM, Vokhiwa, M., Webb, A., Weiant, C., Wiley, N., Wintermark, P., Yibetal, K., Deoni, SCL, and Williams, SCR
Published: 2024
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26. Distinct personality profiles associated with disease risk and diagnostic status in eating disorders

Author: Zhang, Zuo, Robinson, Lauren, Campbell, Iain, Irish, Madeleine, Bobou, Marina, Winterer, Jeanne, Zhang, Yuning, King, Sinead, Vaidya, Nilakshi, Broulidakis, M. John, van Noort, Betteke Maria, Stringaris, Argyris, Banaschewski, Tobias, Bokde, Arun L.W., Brühl, Rüdiger, Fröhner, Juliane H., Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Hohmann, Sarah, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Sinclair, Julia, Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Schmidt, Ulrike, and Desrivières, Sylvane
Published: 2024
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27. A novel measurement of initial-state gluon radiation in hadron collisions using Drell-Yan events

Author: CDF Collaboration, Aaltonen, T., Amerio, S., Amidei, D., Anastassov, A., Annovi, A., Antos, J., Apollinari, G., Appel, J. A., Arisawa, T., Artikov, A., Asaadi, J., Ashmanskas, W., Auerbach, B., Aurisano, A., Azfar, F., Badgett, W., Bae, T., Barbaro-Galtieri, A., Barnes, V. E., Barnett, B. A., Barria, P., Bartos, P., Bauce, M., Bedeschi, F., Behari, S., Bellettini, G., Bellinger, J., Benjamin, D., Beretvas, A., Bhatti, A., Bland, K. R., Blumenfeld, B., Bocci, A., Bodek, A., Bortoletto, D., Boudreau, J., Boveia, A., Brigliadori, L., Bromberg, C., Brucken, E., Budagov, J., Budd, H. S., Burkett, K., Busetto, G., Bussey, P., Butti, P., Buzatu, A., Calamba, A., Camarda, S., Campanelli, M., Canelli, F., Carls, B., Carlsmith, D., Carosi, R., Carrillo, S., Casal, B., Casarsa, M., Castro, A., Catastini, P., Cauz, D., Cavaliere, V., Cerri, A., Cerrito, L., Chen, Y. C., Chertok, M., Chiarelli, G., Chlachidze, G., Cho, K., Chokheli, D., Clark, A., Clarke, C., Convery, M. E., Conway, J., Corbo, M., Cordelli, M., Cox, C. A., Cox, D. J., Cremonesi, M., Cruz, D., Cuevas, J., Culbertson, R., d'Ascenzo, N., Datta, M., de Barbaro, P., Demortier, L., Deninno, M., D'Errico, M., Devoto, F., Di Canto, A., Di Ruzza, B., Dittmann, J. R., Donati, S., D'Onofrio, M., Dorigo, M., Driutti, A., Ebina, K., Edgar, R., Elagin, A., Erbacher, R., Errede, S., Esham, B., Farrington, S., Ramos, J. P. Fernández, Field, R., Flanagan, G., Forrest, R., Franklin, M., Freeman, J. C., Frisch, H., Funakoshi, Y., Galloni, C., Garfinkel, A. F., Garosi, P., Gerberich, H., Gerchtein, E., Giagu, S., Giakoumopoulou, V., Gibson, K., Ginsburg, C. M., Giokaris, N., Giromini, P., Glagolev, V., Glenzinski, D., Gold, M., Goldin, D., Golossanov, A., Gomez, G., Gomez-Ceballos, G., Goncharov, M., López, O. González, Gorelov, I., Goshaw, A. T., Goulianos, K., Gramellini, E., Grosso-Pilcher, C., da Costa, J. Guimaraes, Hahn, S. R., Han, J. Y., Happacher, F., Hara, K., Hare, M., Harr, R. F., Harrington-Taber, T., Hatakeyama, K., Hays, C., Heinrich, J., Herndon, M., Hocker, A., Hong, Z., Hopkins, W., Hou, S., Hughes, R. E., Husemann, U., Hussein, M., Huston, J., Introzzi, G., Iori, M., Ivanov, A., James, E., Jang, D., Jayatilaka, B., Jeon, E. J., Jindariani, S., Jones, M., Joo, K. K., Jun, S. Y., Junk, T. R., Kambeitz, M., Kamon, T., Karchin, P. E., Kasmi, A., Kato, Y., Ketchum, W., Keung, J., Kilminster, B., Kim, D. H., Kim, H. S., Kim, J. E., Kim, M. J., Kim, S. H., Kim, S. B., Kim, Y. J., Kim, Y. K., Kimura, N., Kirby, M., Kondo, K., Kong, D. J., Konigsberg, J., Kotwal, A. V., Kreps, M., Kroll, J., Kruse, M., Kuhr, T., Kurata, M., Laasanen, A. T., Lammel, S., Lancaster, M., Lannon, K., Latino, G., Lee, H. S., Lee, J. S., Leo, S., Leone, S., Lewis, J. D., Limosani, A., Lipeles, E., Lister, A., Liu, Q., Liu, T., Lockwitz, S., Loginov, A., Lucchesi, D., Lucà, A., Lueck, J., Lujan, P., Lukens, P., Lungu, G., Lys, J., Lysak, R., Madrak, R., Maestro, P., Malik, S., Manca, G., Manousakis-Katsikakis, A., Marchese, L., Margaroli, F., Marino, P., Matera, K., Mattson, M. E., Mazzacane, A., Mazzanti, P., McNulty, R., Mehta, A., Mehtala, P., Mesropian, C., Miao, T., Michielin, E., Mietlicki, D., Mitra, A., Miyake, H., Moed, S., Moggi, N., Moon, C. S., Moore, R., Morello, M. J., Mukherjee, A., Muller, Th., Murat, P., Mussini, M., Nachtman, J., Nagai, Y., Naganoma, J., Nakano, I., Napier, A., Nett, J., Nigmanov, T., Nodulman, L., Noh, S. Y., Norniella, O., Oakes, L., Oh, S. H., Oh, Y. D., Okusawa, T., Orava, R., Ortolan, L., Pagliarone, C., Palencia, E., Palni, P., Papadimitriou, V., Parker, W., Pauletta, G., Paulini, M., Paus, C., Phillips, T. J., Piacentino, G., Pianori, E., Pilot, J., Pitts, K., Plager, C., Pondrom, L., Poprocki, S., Potamianos, K., Pranko, A., Prokoshin, F., Ptohos, F., Punzi, G., Fernández, I. Redondo, Renton, P., Rescigno, M., Rimondi, F., Ristori, L., Robson, A., Rodriguez, T., Rolli, S., Ronzani, M., Roser, R., Rosner, J. L., Ruffini, F., Ruiz, A., Russ, J., Rusu, V., Sakumoto, W. K., Sakurai, Y., Santi, L., Sato, K., Saveliev, V., Savoy-Navarro, A., Schlabach, P., Schmidt, E. E., Schwarz, T., Scodellaro, L., Scuri, F., Seidel, S., Seiya, Y., Semenov, A., Seo, H., Sforza, F., Shalhout, S. Z., Shears, T., Shepard, P. F., Shimojima, M., Shochet, M., Shreyber-Tecker, I., Simonenko, A., Sliwa, K., Smith, J. R., Snider, F. D., Song, H., Sorin, V., Denis, R. St., Stancari, M., Stentz, D., Strologas, J., Sudo, Y., Sukhanov, A., Suslov, I., Takemasa, K., Takeuchi, Y., Tang, J., Tecchio, M., Teng, P. K., Thom, J., Thomson, E., Thukral, V., Toback, D., Tokar, S., Tollefson, K., Tomura, T., Tonelli, D., Torre, S., Torretta, D., Totaro, P., Trovato, M., Ukegawa, F., Uozumi, S., Vázquez, F., Velev, G., Vellidis, C., Vernieri, C., Vidal, M., Vilar, R., Vizán, J., Vogel, M., Volpi, G., Wagner, P., Wallny, R., Wang, S. M., Waters, D., Wester III, W. C., Whiteson, D., Wicklund, A. B., Wilbur, S., Williams, H. H., Wilson, J. S., Wilson, P., Winer, B. L., Wittich, P., Wolbers, S., Wolfmeister, H., Wright, T., Wu, X., Wu, Z., Yamamoto, K., Yamato, D., Yang, T., Yang, U. K., Yang, Y. C., Yao, W. -M., Yeh, G. P., Yi, K., Yoh, J., Yorita, K., Yoshida, T., Yu, G. B., Yu, I., Zanetti, A. M., Zeng, Y., Zhou, C., and Zucchelli, S.
Subjects: High Energy Physics - Experiment
Abstract: A study of initial-state gluon radiation (ISR) in hadron collisions is presented using Drell-Yan (DY) events produced in proton-antiproton collisions by the Tevatron collider at a center-of-mass energy of 1.96 TeV. This paper adopts a novel approach which uses the mean value of the Z/$\gamma^*$ transverse momentum $$ in DY events as a powerful observable to characterize the effect of ISR. In a data sample corresponding to an integrated luminosity of 9.4 fb$^{-1}$ collected with the CDF Run II detector, $$ is measured as a function of the Z/$\gamma^*$ invariant mass. It is found that these two observables have a dependence, $ = -8 + 2.2 \ln m_{DY}^2$ [GeV/c], where $m_{DY}$ is the value of the Z/$\gamma^*$ mass measured in units of GeV/$c^2$. This linear dependence is observed for the first time in this analysis. It may be exploited to model the effect of ISR and constrain its impact in other processes., Comment: 14 pages, 14 figures
Published: 2021

28. Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder

Author: Adamson, Chris, Adler, Sophie, Alexander-Bloch, Aaron F., Anagnostou, Evdokia, Anderson, Kevin M., Areces-Gonzalez, Ariosky, Astle, Duncan E., Auyeung, Bonnie, Ayub, Muhammad, Bae, Jong Bin, Ball, Gareth, Baron-Cohen, Simon, Beare, Richard, Bedford, Saashi A., Benegal, Vivek, Bethlehem, Richard A.I., Beyer, Frauke, Blangero, John, Cábez, Manuel Blesa, Boardman, James P., Borzage, Matthew, Bosch-Bayard, Jorge F., Bourke, Niall, Bullmore, Edward T., Calhoun, Vince D., Chakravarty, Mallar M., Chen, Christina, Chertavian, Casey, Chetelat, Gaël, Chong, Yap S., Corvin, Aiden, Costantino, Manuela, Courchesne, Eric, Crivello, Fabrice, Cropley, Vanessa L., Crosbie, Jennifer, Crossley, Nicolas, Delarue, Marion, Delorme, Richard, Desrivieres, Sylvane, Devenyi, Gabriel, Di Biase, Maria A., Dolan, Ray, Donald, Kirsten A., Donohoe, Gary, Dorfschmidt, Lena, Dunlop, Katharine, Edwards, Anthony D., Elison, Jed T., Ellis, Cameron T., Elman, Jeremy A., Eyler, Lisa, Fair, Damien A., Fletcher, Paul C., Fonagy, Peter, Franz, Carol E., Galan-Garcia, Lidice, Gholipour, Ali, Giedd, Jay, Gilmore, John H., Glahn, David C., Goodyer, Ian M., Grant, P.E., Groenewold, Nynke A., Gudapati, Shreya, Gunning, Faith M., Gur, Raquel E., Gur, Ruben C., Hammill, Christopher F., Hansson, Oskar, Hedden, Trey, Heinz, Andreas, Henson, Richard N., Heuer, Katja, Hoare, Jacqueline, Holla, Bharath, Holmes, Avram J., Huang, Hao, Ipser, Jonathan, Jack, Clifford R., Jr., Jackowski, Andrea P., Jia, Tianye, Jones, David T., Jones, Peter B., Kahn, Rene S., Karlsson, Hasse, Karlsson, Linnea, Kawashima, Ryuta, Kelley, Elizabeth A., Kern, Silke, Kim, Ki-Woong, Kitzbichler, Manfred G., Kremen, William S., Lalonde, François, Landeau, Brigitte, Lerch, Jason, Lewis, John D., Li, Jiao, Liao, Wei, Liston, Conor, Lombardo, Michael V., Lv, Jinglei, Mallard, Travis T., Marcelis, Machteld, Mathias, Samuel R., Mazoyer, Bernard, McGuire, Philip, Meaney, Michael J., Mechelli, Andrea, Misic, Bratislav, Morgan, Sarah E., Mothersill, David, Ortinau, Cynthia, Ossenkoppele, Rik, Ouyang, Minhui, Palaniyappan, Lena, Paly, Leo, Pan, Pedro M., Pantelis, Christos, Park, Min Tae M., Paus, Tomas, Pausova, Zdenka, Paz-Linares, Deirel, Binette, Alexa Pichet, Pierce, Karen, Qian, Xing, Qiu, Anqi, Raznahan, Armin, Rittman, Timothy, Rodrigue, Amanda, Rollins, Caitlin K., Romero-Garcia, Rafael, Ronan, Lisa, Rosenberg, Monica D., Rowitch, David H., Salum, Giovanni A., Satterthwaite, Theodore D., Schaare, H. Lina, Schabdach, Jenna, Schachar, Russell J., Schöll, Michael, Schultz, Aaron P., Seidlitz, Jakob, Sharp, David, Shinohara, Russell T., Skoog, Ingmar, Smyser, Christopher D., Sperling, Reisa A., Stein, Dan J., Stolicyn, Aleks, Suckling, John, Sullivan, Gemma, Thyreau, Benjamin, Toro, Roberto, Traut, Nicolas, Tsvetanov, Kamen A., Turk-Browne, Nicholas B., Tuulari, Jetro J., Tzourio, Christophe, Vachon-Presseau, Étienne, Valdes-Sosa, Mitchell J., Valdes-Sosa, Pedro A., Valk, Sofie L., van Amelsvoort, Therese, Vandekar, Simon N., Vasung, Lana, Vértes, Petra E., Victoria, Lindsay W., Villeneuve, Sylvia, Villringer, Arno, Vogel, Jacob W., Wagstyl, Konrad, Wang, Yin-Shan S., Warfield, Simon K., Warrier, Varun, Westman, Eric, Westwater, Margaret L., Whalley, Heather C., White, Simon R., Witte, A. Veronica, Yang, Ning, Yeo, B.T. Thomas, Yun, Hyuk Jin, Zalesky, Andrew, Zar, Heather J., Zettergren, Anna, Zhou, Juan H., Ziauddeen, Hisham, Zimmerman, Dabriel, Zugman, Andre, Zuo, Xi-Nian N., Ho, Natalie C.W., Nogovitsyn, Nikita, Metzak, Paul, Ballester, Pedro L., Hassel, Stefanie, Rotzinger, Susan, Poppenk, Jordan, Lam, Raymond W., Taylor, Valerie H., Milev, Roumen, Frey, Benicio N., Harkness, Kate L., Addington, Jean, and Kennedy, Sidney H.
Published: 2024
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29. Obesity and the cerebral cortex: Underlying neurobiology in mice and humans

Author: Patel, Yash, Woo, Anita, Shi, Sammy, Ayoub, Ramy, Shin, Jean, Botta, Amy, Ketela, Troy, Sung, Hoon-Ki, Lerch, Jason, Nieman, Brian, Paus, Tomas, and Pausova, Zdenka
Published: 2024
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30. Spatial Distribution and Functional Impact of Human Scalp Hair Follicle Microbiota

Author: Lousada, Marta B., Edelkamp, Janin, Lachnit, Tim, Fehrholz, Markus, Pastar, Irena, Jimenez, Francisco, Erdmann, Hanieh, Bosch, Thomas C.G., and Paus, Ralf
Published: 2024
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31. Measurement of the charge asymmetry of electrons from the decays of $W$ bosons produced in $p\bar{p}$ collisions at $\sqrt{s}=1.96$ TeV

Author: CDF Collaboration, Aaltonen, T., Amerio, S., Amidei, D., Anastassov, A., Annovi, A., Antos, J., Apollinari, G., Appel, J. A., Arisawa, T., Artikov, A., Asaadi, J., Ashmanskas, W., Auerbach, B., Aurisano, A., Azfar, F., Badgett, W., Bae, T., Barbaro-Galtieri, A., Barnes, V. E., Barnett, B. A., Barria, P., Bartos, P., Bauce, M., Bedeschi, F., Behari, S., Bellettini, G., Bellinger, J., Benjamin, D., Beretvas, A., Bhatti, A., Bland, K. R., Blumenfeld, B., Bocci, A., Bodek, A., Bortoletto, D., Boudreau, J., Boveia, A., Brigliadori, L., Bromberg, C., Brucken, E., Budagov, J., Budd, H. S., Burkett, K., Busetto, G., Bussey, P., Butti, P., Buzatu, A., Calamba, A., Camarda, S., Campanelli, M., Canelli, F., Carls, B., Carlsmith, D., Carosi, R., Carrillo, S., Casal, B., Casarsa, M., Castro, A., Catastini, P., Cauz, D., Cavaliere, V., Cerri, A., Cerrito, L., Chen, Y. C., Chertok, M., Chiarelli, G., Chlachidze, G., Cho, K., Chokheli, D., Clark, A., Clarke, C., Convery, M. E., Conway, J., Corbo, M., Cordelli, M., Cox, C. A., Cox, D. J., Cremonesi, M., Cruz, D., Cuevas, J., Culbertson, R., d'Ascenzo, N., Datta, M., de Barbaro, P., Demortier, L., Deninno, M., D'Errico, M., Devoto, F., Di Canto, A., Di Ruzza, B., Dittmann, J. R., Donati, S., D'Onofrio, M., Dorigo, M., Driutti, A., Ebina, K., Edgar, R., Elagin, A., Erbacher, R., Errede, S., Esham, B., Farrington, S., Ramos, J. P. Fernández, Field, R., Flanagan, G., Forrest, R., Franklin, M., Freeman, J. C., Frisch, H., Funakoshi, Y., Galloni, C., Garfinkel, A. F., Garosi, P., Gerberich, H., Gerchtein, E., Giagu, S., Giakoumopoulou, V., Gibson, K., Ginsburg, C. M., Giokaris, N., Giromini, P., Glagolev, V., Glenzinski, D., Gold, M., Goldin, D., Golossanov, A., Gomez, G., Gomez-Ceballos, G., Goncharov, M., López, O. González, Gorelov, I., Goshaw, A. T., Goulianos, K., Gramellini, E., Grosso-Pilcher, C., da Costa, J. Guimaraes, Hahn, S. R., Han, J. Y., Happacher, F., Hara, K., Hare, M., Harr, R. F., Harrington-Taber, T., Hatakeyama, K., Hays, C., Heinrich, J., Herndon, M., Hocker, A., Hong, Z., Hopkins, W., Hou, S., Hughes, R. E., Husemann, U., Hussein, M., Huston, J., Introzzi, G., Iori, M., Isgrò, A., Ivanov, A., James, E., Jang, D., Jayatilaka, B., Jeon, E. J., Jindariani, S., Jones, M., Joo, K. K., Jun, S. Y., Junk, T. R., Kambeitz, M., Kamon, T., Karchin, P. E., Kasmi, A., Kato, Y., Ketchum, W., Keung, J., Kilminster, B., Kim, D. H., Kim, H. S., Kim, J. E., Kim, M. J., Kim, S. H., Kim, S. B., Kim, Y. J., Kim, Y. K., Kimura, N., Kirby, M., Kondo, K., Kong, D. J., Konigsberg, J., Kotwal, A. V., Kreps, M., Kroll, J., Kruse, M., Kuhr, T., Kurata, M., Laasanen, A. T., Lammel, S., Lancaster, M., Lannon, K., Latino, G., Lee, H. S., Lee, J. S., Leo, S., Leone, S., Lewis, J. D., Limosani, A., Lipeles, E., Lister, A., Liu, Q., Liu, T., Lockwitz, S., Loginov, A., Lucchesi, D., Lucà, A., Lueck, J., Lujan, P., Lukens, P., Lungu, G., Lys, J., Lysak, R., Madrak, R., Maestro, P., Malik, S., Manca, G., Manousakis-Katsikakis, A., Marchese, L., Margaroli, F., Marino, P., Matera, K., Mattson, M. E., Mazzacane, A., Mazzanti, P., McNulty, R., Mehta, A., Mehtala, P., Mesropian, C., Miao, T., Michielin, E., Mietlicki, D., Mitra, A., Miyake, H., Moed, S., Moggi, N., Moon, C. S., Moore, R., Morello, M. J., Mukherjee, A., Muller, Th., Murat, P., Mussini, M., Nachtman, J., Nagai, Y., Naganoma, J., Nakano, I., Napier, A., Nett, J., Nigmanov, T., Nodulman, L., Noh, S. Y., Norniella, O., Oakes, L., Oh, S. H., Oh, Y. D., Okusawa, T., Orava, R., Ortolan, L., Pagliarone, C., Palencia, E., Palni, P., Papadimitriou, V., Parker, W., Pauletta, G., Paulini, M., Paus, C., Phillips, T. J., Piacentino, G., Pianori, E., Pilot, J., Pitts, K., Plager, C., Pondrom, L., Poprocki, S., Potamianos, K., Pranko, A., Prokoshin, F., Ptohos, F., Punzi, G., Fernández, I. Redondo, Renton, P., Rescigno, M., Rimondi, F., Ristori, L., Robson, A., Rodriguez, T., Rolli, S., Ronzani, M., Roser, R., Rosner, J. L., Ruffini, F., Ruiz, A., Russ, J., Rusu, V., Sakumoto, W. K., Sakurai, Y., Santi, L., Sato, K., Saveliev, V., Savoy-Navarro, A., Schlabach, P., Schmidt, E. E., Schwarz, T., Scodellaro, L., Scuri, F., Seidel, S., Seiya, Y., Semenov, A., Sforza, F., Shalhout, S. Z., Shears, T., Shepard, P. F., Shimojima, M., Shochet, M., Shreyber-Tecker, I., Simonenko, A., Sliwa, K., Smith, J. R., Snider, F. D., Song, H., Sorin, V., Denis, R. St., Stancari, M., Stentz, D., Strologas, J., Sudo, Y., Sukhanov, A., Suslov, I., Takemasa, K., Takeuchi, Y., Tang, J., Tecchio, M., Teng, P. K., Thom, J., Thomson, E., Thukral, V., Toback, D., Tokar, S., Tollefson, K., Tomura, T., Tonelli, D., Torre, S., Torretta, D., Totaro, P., Trovato, M., Ukegawa, F., Uozumi, S., Vecchio, V., Velev, G., Vellidis, C., Vernieri, C., Vidal, M., Vilar, R., Vizán, J., Vogel, M., Volpi, G., Vázquez, F., Wagner, P., Wallny, R., Wang, S. M., Waters, D., Wester III, W. C., Whiteson, D., Wicklund, A. B., Wilbur, S., Williams, H. H., Wilson, J. S., Wilson, P., Winer, B. L., Wittich, P., Wolbers, S., Wolfmeister, H., Wright, T., Wu, X., Wu, Z., Yamamoto, K., Yamato, D., Yang, T., Yang, U. K., Yang, Y. C., Yao, W. -M., Yeh, G. P., Yi, K., Yoh, J., Yorita, K., Yoshida, T., Yu, G. B., Yu, I., Zanetti, A. M., Zeng, Y., Zhou, C., and Zucchelli, S.
Subjects: High Energy Physics - Experiment
Abstract: At the Fermilab Tevatron proton-antiproton ($p\bar{p}$) collider, high-mass electron-neutrino ($e\nu$) pairs are produced predominantly in the process $p \bar{p} \rightarrow W(\rightarrow e\nu) + X$. The asymmetry of the electron and positron yield as a function of their pseudorapidity constrain the slope of the ratio of the $u$- to $d$-quark parton distributions versus the fraction of the proton momentum carried by the quarks. This paper reports on the measurement of the electron-charge asymmetry using the full data set recorded by the Collider Detector at Fermilab in 2001--2011 and corresponding to 9.1~fb$^{-1}$ of integrated luminosity. The measurement significantly improves the precision of the Tevatron constraints on the parton-distribution functions of the proton. Numerical tables of the measurement are provided., Comment: 27 pages, 25 figures. To be published in PRD
Published: 2021

32. Pile-Up Mitigation using Attention

Author: Maier, Benedikt, Narayanan, Siddharth M., de Castro, Gianfranco, Goncharov, Maxim, Paus, Christoph, and Schott, Matthias
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: Particle production from secondary proton-proton collisions, commonly referred to as pile-up, impair the sensitivity of both new physics searches and precision measurements at LHC experiments. We propose a novel algorithm, PUMA, for identifying pile-up objects with the help of deep neural networks based on sparse transformers. These attention mechanisms were developed for natural language processing but have become popular in other applications. In a realistic detector simulation, our method outperforms classical benchmark algorithms for pile-up mitigation in key observables. It provides a perspective for mitigating the effects of pile-up in the high luminosity era of the LHC, where up to 200 proton-proton collisions are expected to occur simultaneously., Comment: 17 pages, 6 figures, final published version
Published: 2021
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33. Interleukin-15 is a hair follicle immune privilege guardian

Author: Suzuki, Takahiro, Chéret, Jérémy, Scala, Fernanda D., Rajabi-Estarabadi, Ali, Akhundlu, Aysun, Demetrius, Dana-Lee, Gherardini, Jennifer, Keren, Aviad, Harries, Matthew, Rodriguez-Feliz, Jose, Epstein, Gorana, Lee, Wendy, Purba, Talveen, Gilhar, Amos, and Paus, Ralf
Published: 2024
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34. Solar urticaria involves rapid mast cell STAT3 activation and neutrophil recruitment, with FcεRI as an upstream regulator

Author: Rutter, Kirsty J., Peake, Michael, Hawkshaw, Nathan J., Scholey, Rachel, Bulfone-Paus, Silvia, Friedmann, Peter S., Farrar, Mark D., and Rhodes, Lesley E.
Published: 2024
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35. The Long Head of the Biceps Has a Stabilizing Effect on the Glenohumeral Joint in Simulated Infraspinatus or Subscapularis but Not Supraspinatus Rotator Cuff Deficiency: A Biomechanical Study

Author: Katthagen, J. Christoph, Wermers, Jens, Paus, Christoph, Michel, Philipp A., Köhler, Alina, Schliemann, Benedikt, and Raschke, Michael J.
Published: 2024
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36. Human Hair Graying Revisited: Principles, Misconceptions, and Key Research Frontiers

Author: Paus, Ralf, Sevilla, Alec, and Grichnik, James M.
Published: 2024
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37. Binary disease prediction using tail quantiles of the distribution of continuous biomarkers

Author: Paus, Michiel H. J., Heuvel, Edwin R. van den, and Meddens, Marc J. M.
Subjects: Statistics - Methodology, Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods
Abstract: In the analysis of binary disease classification, single biomarkers might not have significant discriminating power and multiple biomarkers from a large set of biomarkers should be selected. Numerous approaches exist, but they merely work well for mean differences in biomarkers between cases and controls. Biological processes are however much more heterogeneous, and differences could also occur in other distributional characteristics (e.g. variances, skewness). Many machine learning techniques are better capable of utilizing these higher order distributional differences, sometimes at cost of explainability. In this study we propose quantile based prediction (QBP), a binary classification method that is based on the selection of multiple continuous biomarkers. QBP generates a single score using the tails of the biomarker distributions for cases and controls. This single score can then be evaluated by ROC analysis to investigate its predictive power. The performance of QBP is compared to supervised learning methods using extensive simulation studies, and two case studies: major depression disorder and trisomy. Simultaneously, the classification performance of the existing techniques in relation to each other is assessed. The key strengths of QBP are the opportunity to select relevant biomarkers and the outstanding classification performance in the case biomarkers predominantly show variance differences between cases and controls. When only shifts in means were present in the biomarkers, QBP obtained an inferior performance. Lastly, QBP proved to be unbiased in case of absence of disease relevant biomarkers and outperformed the other methods on the MDD case study. More research is needed to further optimize QBP, since it has several opportunities to improve its performance. Here we wanted to introduce the principle of QBP and show its potential., Comment: 26 pages, 5 figures
Published: 2021

38. Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects

Author: Weng, Zehang, Paus, Fabian, Varava, Anastasiia, Yin, Hang, Asfour, Tamim, and Kragic, Danica
Subjects: Computer Science - Robotics
Abstract: Capturing scene dynamics and predicting the future scene state is challenging but essential for robotic manipulation tasks, especially when the scene contains both rigid and deformable objects. In this work, we contribute a simulation environment and generate a novel dataset for task-specific manipulation, involving interactions between rigid objects and a deformable bag. The dataset incorporates a rich variety of scenarios including different object sizes, object numbers and manipulation actions. We approach dynamics learning by proposing an object-centric graph representation and two modules which are Active Prediction Module (APM) and Position Prediction Module (PPM) based on graph neural networks with an encode-process-decode architecture. At the inference stage, we build a two-stage model based on the learned modules for single time step prediction. We combine modules with different prediction horizons into a mixed-horizon model which addresses long-term prediction. In an ablation study, we show the benefits of the two-stage model for single time step prediction and the effectiveness of the mixed-horizon model for long-term prediction tasks. Supplementary material is available at https://github.com/wengzehang/deformable_rigid_interaction_prediction, Comment: IROS 2021 submission, Zehang Weng and Fabian Paus have equal contribution to this paper
Published: 2021

39. Multi-Band Photometry and Photometric Redshifts from Astronomical Images

Author: the PAUS Collaboration, Cabayol-Garcia, Laura, Eriksen, Martin Børstad, Bufano, Filomena, editor, Riggi, Simone, editor, Sciacca, Eva, editor, and Schilliro, Francesco, editor
Published: 2023
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40. Beyond the Global Brain Differences: Intraindividual Variability Differences in 1q21.1 Distal and 15q11.2 BP1-BP2 Deletion Carriers

Author: Boen, Rune, Kaufmann, Tobias, van der Meer, Dennis, Frei, Oleksandr, Agartz, Ingrid, Ames, David, Andersson, Micael, Armstrong, Nicola J., Artiges, Eric, Atkins, Joshua R., Bauer, Jochen, Benedetti, Francesco, Boomsma, Dorret I., Brodaty, Henry, Brosch, Katharina, Buckner, Randy L., Cairns, Murray J., Calhoun, Vince, Caspers, Svenja, Cichon, Sven, Corvin, Aiden P., Crespo-Facorro, Benedicto, Dannlowski, Udo, David, Friederike S., de Geus, Eco J.C., de Zubicaray, Greig I., Desrivières, Sylvane, Doherty, Joanne L., Donohoe, Gary, Ehrlich, Stefan, Eising, Else, Espeseth, Thomas, Fisher, Simon E., Forstner, Andreas J., Fortaner-Uyà, Lidia, Frouin, Vincent, Fukunaga, Masaki, Ge, Tian, Glahn, David C., Goltermann, Janik, Grabe, Hans J., Green, Melissa J., Groenewold, Nynke A., Grotegerd, Dominik, Grøntvedt, Gøril Rolfseng, Hahn, Tim, Hashimoto, Ryota, Hehir-Kwa, Jayne Y., Henskens, Frans A., Holmes, Avram J., Håberg, Asta K., Haavik, Jan, Jacquemont, Sebastien, Jansen, Andreas, Jockwitz, Christiane, Jönsson, Erik G., Kikuchi, Masataka, Kircher, Tilo, Kumar, Kuldeep, Le Hellard, Stephanie, Leu, Costin, Linden, David E., Liu, Jingyu, Loughnan, Robert, Mather, Karen A., McMahon, Katie L., McRae, Allan F., Medland, Sarah E., Meinert, Susanne, Moreau, Clara A., Morris, Derek W., Mowry, Bryan J., Mühleisen, Thomas W., Nenadić, Igor, Nöthen, Markus M., Nyberg, Lars, Ophoff, Roel A., Owen, Michael J., Pantelis, Christos, Paolini, Marco, Paus, Tomas, Pausova, Zdenka, Persson, Karin, Quidé, Yann, Marques, Tiago Reis, Sachdev, Perminder S., Sando, Sigrid B., Schall, Ulrich, Scott, Rodney J., Selbæk, Geir, Shumskaya, Elena, Silva, Ana I., Sisodiya, Sanjay M., Stein, Frederike, Stein, Dan J., Straube, Benjamin, Streit, Fabian, Strike, Lachlan T., Teumer, Alexander, Teutenberg, Lea, Thalamuthu, Anbupalam, Tooney, Paul A., Tordesillas-Gutierrez, Diana, Trollor, Julian N., van ’t Ent, Dennis, van den Bree, Marianne B.M., van Haren, Neeltje E.M., Vázquez-Bourgon, Javier, Völzke, Henry, Wen, Wei, Wittfeld, Katharina, Ching, Christopher R.K., Westlye, Lars T., Thompson, Paul M., Bearden, Carrie E., Selmer, Kaja K., Alnæs, Dag, Andreassen, Ole A., and Sønderby, Ida E.
Published: 2024
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41. Dynamo -- Handling Scientific Data Across Sites and Storage Media

Author: Iiyama, Yutaro, Maier, Benedikt, Abercrombie, Daniel, Goncharov, Maxim, and Paus, Christoph
Subjects: Computer Science - Distributed, Parallel, and Cluster Computing, High Energy Physics - Experiment
Abstract: Dynamo is a full-stack software solution for scientific data management. Dynamo's architecture is modular, extensible, and customizable, making the software suitable for managing data in a wide range of installation scales, from a few terabytes stored at a single location to hundreds of petabytes distributed across a worldwide computing grid. This article documents the core system design of Dynamo and describes the applications that implement various data management tasks. A brief report is also given on the operational experiences of the system at the CMS experiment at the CERN Large Hadron Collider and at a small scale analysis facility., Comment: 18 pages, 9 figures
Published: 2020
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42. A novel theoretical strategy for predicting dissolution kinetics and mechanisms of pharmaceuticals in complex biorelevant media

Author: Ge, Kai, Paus, Raphael, Penner, Vera, Sadowski, Gabriele, and Ji, Yuanhui
Published: 2023
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43. From tundra to tree-birch; late-glacial and early Holocene environment and vegetation oscillations at the ecotonal positioned Bjerkreim, Dalane, SW Norway

Author: Paus, Aage, Brooks, Stephen J., Haflidason, Haflidi, and Halvorsen, Lene S.
Published: 2023
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44. Evaluation of longitudinal double-spin asymmetry measurements in semi-inclusive deep-inelastic scattering from the proton for the ECCE detector design

Author: Van Hulse, C., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., C.Cuevas, Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger, M., Jr., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-h.J., Huang, J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Mkrtchyan, H., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O’Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., Costa, H. Periera da, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., Hecke, H.W. van, Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., and Zhuang, P.
Published: 2023
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45. Management of the human hair follicle microbiome by a synthetic odorant

Author: Edelkamp, Janin, Lousada, Marta B., Pinto, Daniela, Chéret, Jérémy, Calabrese, Francesco Maria, Jiménez, Francisco, Erdmann, Hanieh, Wessel, Julia, Phillip, Bodo, Angelis, Maria De, Rinaldi, Fabio, Bertolini, Marta, and Paus, Ralf
Published: 2023
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46. Design and simulated performance of calorimetry systems for the ECCE detector at the electron ion collider

Author: Bock, F., Schmidt, N., Wang, P.K., Santiesteban, N., Horn, T., Huang, J., Lajoie, J., Munoz Camacho, C., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Ayerbe Gayoso, C., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Corrales Morales, Y., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., El Fassi, L., Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger, M., Jr., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Hoghmrtsyan, A., Hsu, P.-h.J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-h., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O’Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., Periera da Costa, H., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Tapia Araya, S., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., and Zhuang, P.
Published: 2023
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47. ECCE unpolarized TMD measurements

Author: Seidl, R., Vladimirov, A., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Gayoso, C. Ayerbe, Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y. Corrales, Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., Fassi, L. El, Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Finger, M., Jr., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-h.J., Huang, J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C. Munoz, Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O’Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., da Costa, H. Periera, Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Araya, S. Tapia, Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Hulse, C. Van, Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., and Zhuang, P.
Published: 2023
Full Text: View/download PDF

48. Clinical Pathobiology of Radiotherapy-Induced Alopecia: A Guide toward More Effective Prevention and Hair Follicle Repair

Author: Lin, Sung-Jan, Yue, Zhicao, and Paus, Ralf
Published: 2023
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49. An update on inflammation in uveal melanoma

Author: Liau, Sebastian, Wang, Janney Z., Zagarella, Ethan, Paulus, Paus, Dang, Nguyen Huong Que Hiep, Rawling, Tristan, Murray, Michael, and Zhou, Fanfan
Published: 2023
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50. Trees for brains: Current residential tree cover density and its association with brain structure in young adults

Author: Kühn, Simone, Banaschewski, Tobias, Bokde, Arun L.W., Büchel, Christian, Burke Quinlan, Erin, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Paillère Martinot, Marie Laure, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Millenet, Sabina, Fröhner, Juliane H., Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Vaidya, Nilakshi, Meyer-Lindenberg, Andreas, and Gallinat, Jürgen
Published: 2023
Full Text: View/download PDF

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