Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Parikh, Aditya"'
Autor:
Schneider, Helen, Nowak, Sebastian, Parikh, Aditya, Layer, Yannik C., Theis, Maike, Block, Wolfgang, Sprinkart, Alois M., Attenberger, Ulrike, Sifa, Rafet
Image-based diagnostic decision support systems (DDSS) utilizing deep learning have the potential to optimize clinical workflows. However, developing DDSS requires extensive datasets with expert annotations and is therefore costly. Leveraging report
Externí odkaz:
http://arxiv.org/abs/2410.21014
Long-range attractive interactions between dark matter particles can significantly enhance their annihilation, particularly at low velocities. This ``Sommerfeld enhancement'' is typically computed by evaluating the deformation of the two-particle wav
Externí odkaz:
http://arxiv.org/abs/2410.18168
The sensitivity of electron EDM experiments has been increasing at a rapid pace, and could yield indications of new physics in the coming decade. An intriguing possibility is that an EDM signal could be generated by new, electroweak-charged particles
Externí odkaz:
http://arxiv.org/abs/2410.01873
Depression is characterized by persistent sadness and loss of interest, significantly impairing daily functioning and now a widespread mental disorder. Traditional diagnostic methods rely on subjective assessments, necessitating objective approaches
Externí odkaz:
http://arxiv.org/abs/2407.13753
Autor:
Parikh, Aditya
Process of information extraction (IE) is often used to extract meaningful information from unstructured and unlabeled data. Conventional methods of data extraction including application of OCR and passing extraction engine, are inefficient on large
Externí odkaz:
http://arxiv.org/abs/2312.09880
Autor:
Parikh, Aditya
In this project we have designed and described a model which colourize a gray-scale image, with no human intervention. We propose a fully automatic process of colouring and re-colouring faded or gray-scale image with vibrant and pragmatic colours. We
Externí odkaz:
http://arxiv.org/abs/2312.09876
When the Froggatt-Nielsen mechanism is used to explain the Standard Model flavor hierarchy, new physics couplings are also determined by the horizontal symmetry. However, additional symmetries or dynamics in the UV can sometimes lead to a departure f
Externí odkaz:
http://arxiv.org/abs/2308.01340
Publikováno v:
J. High Energ. Phys. 2023, 91 (2023)
In this work, we present UV completions of the recently proposed number-changing Co-SIMP freeze-out mechanism. In contrast to the standard cannibalistic-type dark matter picture that occurs entirely in the dark sector, the $3\to 2$ process setting th
Externí odkaz:
http://arxiv.org/abs/2302.00008
Autor:
Drlica-Wagner, Alex, Prescod-Weinstein, Chanda, Yu, Hai-Bo, Albert, Andrea, Amin, Mustafa, Banerjee, Arka, Baryakhtar, Masha, Bechtol, Keith, Bird, Simeon, Birrer, Simon, Bringmann, Torsten, Caputo, Regina, Chakrabarti, Sukanya, Chen, Thomas Y., Croon, Djuna, Cyr-Racine, Francis-Yan, Dawson, William A., Dvorkin, Cora, Gluscevic, Vera, Gilman, Daniel, Grin, Daniel, Hložek, Renée, Leane, Rebecca K., Li, Ting S., Mao, Yao-Yuan, Meyers, Joel, Mishra-Sharma, Siddharth, Muñoz, Julian B., Munshi, Ferah, Nadler, Ethan O., Parikh, Aditya, Perez, Kerstin, Peter, Annika H. G., Profumo, Stefano, Schutz, Katelin, Sehgal, Neelima, Simon, Joshua D., Sinha, Kuver, Valluri, Monica, Wechsler, Risa H.
Cosmological and astrophysical observations currently provide the only robust, positive evidence for dark matter. Cosmic probes of dark matter, which seek to determine the fundamental properties of dark matter through observations of the cosmos, have
Externí odkaz:
http://arxiv.org/abs/2209.08215
Autor:
Cooley, Jodi, Lin, Tongyan, Lippincott, W. Hugh, Slatyer, Tracy R., Yu, Tien-Tien, Akerib, Daniel S., Aramaki, Tsuguo, Baxter, Daniel, Bringmann, Torsten, Bunker, Ray, Carney, Daniel, Cebrián, Susana, Chen, Thomas Y., Cushman, Priscilla, Dahl, C. E., Essig, Rouven, Fan, Alden, Gaitskell, Richard, Galbiati, Cristano, Gelmini, Graciela B., Giovanetti, Graham K., Giroux, Guillaume, Grandi, Luca, Harding, J. Patrick, Haselschwardt, Scott, Hsu, Lauren, Horiuchi, Shunsaku, Kahn, Yonatan, Kim, Doojin, Kim, Geon-Bo, Kravitz, Scott, Kudryavtsev, V. A., Kurinsky, Noah, Lang, Rafael F., Leane, Rebecca K., Lehmann, Benjamin V., Levy, Cecilia, Li, Shengchao, Loer, Ben, Manalaysay, Aaron, Martoff, C. J, Mohlabeng, Gopolang, Monzani, M. E., Murphy, Alexander St J., Neilson, Russell, Nelson, Harry N., O'Hare, Ciaran A. J., Palladino, K. J., Parikh, Aditya, Park, Jong-Chul, Perez, Kerstin, Profumo, Stefano, Raj, Nirmal, Roach, Brandon M., Saab, Tarek, Sarsa, Maria Luísa, Schnee, Richard, Shaw, Sally, Shin, Seodong, Sinha, Kuver, Stifter, Kelly, Suzuki, Aritoki, Szydagis, M., Tait, Tim M. P., Takhistov, Volodymyr, Tsai, Yu-Dai, Vahsen, S. E., Vitagliano, Edoardo, von Doetinchem, Philip, Wang, Gensheng, Westerdale, Shawn, Williams, David A., Xiang, Xin, Yang, Liang
This report summarizes the findings of the CF1 Topical Subgroup to Snowmass 2021, which was focused on particle dark matter. One of the most important scientific goals of the next decade is to reveal the nature of dark matter (DM). To accomplish this
Externí odkaz:
http://arxiv.org/abs/2209.07426