Zobrazeno 1 - 10
of 288
pro vyhledávání: '"Christian Herwig"'
Autor:
The LDMX collaboration, Torsten Åkesson, Cameron Bravo, Liam Brennan, Lene Kristian Bryngemark, Pierfrancesco Butti, E. Craig Dukes, Valentina Dutta, Bertrand Echenard, Thomas Eichlersmith, Jonathan Eisch, Einar Elén, Ralf Ehrlich, Cooper Froemming, Andrew Furmanski, Niramay Gogate, Chiara Grieco, Craig Group, Hannah Herde, Christian Herwig, David G. Hitlin, Tyler Horoho, Joseph Incandela, Wesley Ketchum, Gordan Krnjaic, Amina Li, Jeremiah Mans, Phillip Masterson, Sophie Middleton, Omar Moreno, Geoffrey Mullier, Joseph Muse, Timothy Nelson, Rory O’Dwyer, Leo Östman, James Oyang, Jessica Pascadlo, Ruth Pöttgen, Luis G. Sarmiento, Philip Schuster, Matthew Solt, Cristina Mantilla Suarez, Lauren Tompkins, Natalia Toro, Nhan Tran, Erik Wallin, Andrew Whitbeck, Danyi Zhang
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 12, Pp 1-30 (2023)
Abstract The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the sub-GeV mass region. An upgrade to the LCLS-II accelerator wi
Externí odkaz:
https://doaj.org/article/4bed41568c384aecaa2f00cf7be102e7
Autor:
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Shen Wang, Thomas K. Warburton
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Externí odkaz:
https://doaj.org/article/fb1f7518123f425abdb4bab7ccb196f6
Autor:
Bastian Schluschaß, Jan-Hendrik Borter, Severine Rupp, Serhiy Demeshko, Christian Herwig, Christian Limberg, Nicholas A. Maciulis, Jessica Schneider, Christian Würtele, Vera Krewald, Dirk Schwarzer, Sven Schneider
Publikováno v:
JACS Au, Vol 1, Iss 6, Pp 879-894 (2021)
Externí odkaz:
https://doaj.org/article/8fe2deba710040c8b0ace44fb6aac979
Autor:
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Shen Wang, Thomas K. Warburton
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science—the concept of integrating powerful ML methods into the real-time experimental data processing loop to accelerate scientific discovery
Externí odkaz:
https://doaj.org/article/9e1a26011d554b649834394385e92870
Autor:
Rohan Shenoy, Javier Duarte, Christian Herwig, James Hirschauer, Daniel Noonan, Maurizio Pierini, Nhan Tran, Cristina Mantilla Suarez
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 4, p 045058 (2023)
The Earth mover’s distance (EMD) is a useful metric for image recognition and classification, but its usual implementations are not differentiable or too slow to be used as a loss function for training other algorithms via gradient descent. In this
Externí odkaz:
https://doaj.org/article/225fcab5c10d43a6946615a59b1b2fa7
Publikováno v:
Journal of High Energy Physics, Vol 2019, Iss 12, Pp 1-49 (2019)
Abstract The R-parity violating decays of Bino neutralino LSPs are analyzed within the context of the B − L MSSM “heterotic standard model”. These LSPs correspond to statistically determined initial soft supersymmetry breaking parameters which,
Externí odkaz:
https://doaj.org/article/e932810ab53d4e7ebd93ebdec3ef1e39
Autor:
Jason St. John, Christian Herwig, Diana Kafkes, Jovan Mitrevski, William A. Pellico, Gabriel N. Perdue, Andres Quintero-Parra, Brian A. Schupbach, Kiyomi Seiya, Nhan Tran, Malachi Schram, Javier M. Duarte, Yunzhi Huang, Rachael Keller
Publikováno v:
Physical Review Accelerators and Beams, Vol 24, Iss 10, p 104601 (2021)
We describe a method for precisely regulating the gradient magnet power supply (GMPS) at the Fermilab Booster accelerator complex using a neural network trained via reinforcement learning. We demonstrate preliminary results by training a surrogate ma
Externí odkaz:
https://doaj.org/article/df7b8a900ec541e18a60c6dac46db8e9
Publikováno v:
Organometallics. 40:4143-4149
Autor:
Garvita Agarwal, Joshua Barrow, Mateus Carneiro, Thomas Chen, Erin Conley, Rob Fine, Julia Gonski, Erin Hansen, Sam Hedges, Christian Herwig, Samuel Homiller, Tiffany Lewis, Tanaz Mohayai, Maria da Silva Pereira, Fernanda Psihas, Amber Roepe-Gier, Sara Simon, Jorge Torres, Jacob Zettlemoyer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6fdf3f3091f1c7d63c614fb565b3a3e
https://doi.org/10.2172/1898854
https://doi.org/10.2172/1898854
Autor:
Jan-Hendrik Borter, Vera Krewald, Christian Würtele, Sven Schneider, Dirk Schwarzer, Christian Herwig, Jessica Schneider, Nicholas A. Maciulis, Bastian Schluschaß, Serhiy Demeshko, Severine Rupp, Christian Limberg
Publikováno v:
JACS Au
Jacs Au
JACS Au, Vol 1, Iss 6, Pp 879-894 (2021)
Jacs Au
JACS Au, Vol 1, Iss 6, Pp 879-894 (2021)
Light-driven N2 cleavage into molecular nitrides is an attractive strategy for synthetic nitrogen fixation. However, suitable platforms are rare. Furthermore, the development of catalytic protocols via this elementary step suffers from poor understan