Zobrazeno 1 - 10
of 56 538
pro vyhledávání: '"DESAI, P."'
Autor:
Bernardinelli, Pedro H., Bernstein, Gary M., Abbott, T. M. C., Aguena, M., Allam, S. S., Brooks, D., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Malagón, A. A. Plazas, Samuroff, S., Sanchez, E., Santiago, B., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., Tucker, D. L., Vikram, V., Walker, A. R., Weaverdyck, N.
For the 696 trans-Neptunian objects (TNOs) with absolute magnitudes $5.5 < H_r < 8.2$ detected in the Dark Energy Survey (DES), we characterize the relationships between their dynamical state and physical properties -- namely $H_r$, indicating size;
Externí odkaz:
http://arxiv.org/abs/2501.01551
Autor:
Raikman, Ryan, Moreno, Eric A., Govorkova, Katya, Soni, Siddharth, Marx, Ethan, Benoit, William, Gunny, Alec, Chatterjee, Deep, Reissel, Christina, Desai, Malina M., Omer, Rafia, Saleem, Muhammed, Harris, Philip, Katsavounidis, Erik, Coughlin, Michael W., Rankin, Dylan
This paper presents the results of a Neural Network (NN)-based search for short-duration gravitational-wave transients in data from the third observing run of LIGO, Virgo, and KAGRA. The search targets unmodeled transients with durations of milliseco
Externí odkaz:
http://arxiv.org/abs/2412.19883
Autor:
Banerjee, Nabamita, Desai, Amogh Neelkanth, Fernandes, Karan, Mitra, Arpita, Rahnuma, Tabasum
We generalize a recent ``AdS S-matrix" formulation for interacting massive scalars on AdS spacetimes to the case of massive vector fields. This method relies on taking the infinite radius limit for scattering processes perturbatively, which is analyz
Externí odkaz:
http://arxiv.org/abs/2412.19253
Autor:
Barua, Shubham, Desai, Shantanu
We apply data-motivated priors on the peak absolute magnitude of Type Ia supernovae ($M$), and on the sound horizon at the drag epoch ($r_d$), to study their impact on the Hubble tension, when compared to the Planck estimated value of the Hubble cons
Externí odkaz:
http://arxiv.org/abs/2412.19240
Autor:
Hinkle, Jason T., Auchettl, Katie, Hoogendam, Willem B., Payne, Anna V., Holoien, Thomas W. -S., Shappee, Benjamin J., Tucker, Michael A., Kochanek, Christopher S., Stanek, K. Z., Vallely, Patrick J., Angus, Charlotte R., Ashall, Chris, de Jaeger, Thomas, Desai, Dhvanil D., Do, Aaron, Fausnaugh, Michael M., Huber, Mark E., Vaught, Ryan J. Rickards, Shi, Jennifer
We present observations of ASASSN-22ci (AT2022dbl), a nearby tidal disruption event (TDE) discovered by the All-Sky Automated Survey for Supernovae (ASAS-SN) at a distance of d$_L \simeq 125$ Mpc. Roughly two years after the initial ASAS-SN discovery
Externí odkaz:
http://arxiv.org/abs/2412.15326
Autor:
Williamson, Brian D., Krakauer, Chloe, Johnson, Eric, Gruber, Susan, Shepherd, Bryan E., van der Laan, Mark J., Lumley, Thomas, Lee, Hana, Munoz, Jose J. Hernandez, Zhao, Fengyu, Dutcher, Sarah K., Desai, Rishi, Simon, Gregory E., Shortreed, Susan M., Nelson, Jennifer C., Shaw, Pamela A.
In pharmacoepidemiology, safety and effectiveness are frequently evaluated using readily available administrative and electronic health records data. In these settings, detailed confounder data are often not available in all data sources and therefor
Externí odkaz:
http://arxiv.org/abs/2412.15012
Autor:
Desai, Aditya, Yang, Shuo, Cuadron, Alejandro, Klimovic, Ana, Zaharia, Matei, Gonzalez, Joseph E., Stoica, Ion
Utilizing longer contexts is increasingly essential to power better AI systems. However, the cost of attending to long contexts is high due to the involved softmax computation. While the scaled dot-product attention (SDPA) exhibits token sparsity, wi
Externí odkaz:
http://arxiv.org/abs/2412.14468
Autor:
Jiang, Hanwen, Xu, Zexiang, Xie, Desai, Chen, Ziwen, Jin, Haian, Luan, Fujun, Shu, Zhixin, Zhang, Kai, Bi, Sai, Sun, Xin, Gu, Jiuxiang, Huang, Qixing, Pavlakos, Georgios, Tan, Hao
We propose scaling up 3D scene reconstruction by training with synthesized data. At the core of our work is MegaSynth, a procedurally generated 3D dataset comprising 700K scenes - over 50 times larger than the prior real dataset DL3DV - dramatically
Externí odkaz:
http://arxiv.org/abs/2412.14166
Autor:
Das, Santosh K., Palni, Prabhakar, Sarkar, Amal, Agotiya, Vineet Kumar, Bandyopadhyay, Aritra, Bhaduri, Partha Pratim, Datta, Saumen, Desai, Vaishnavi, Dey, Debarshi, Greco, Vincenzo, Jamal, Mohammad Yousuf, Kaur, Gurleen, Kumari, Manisha, Maity, Monideepa, Pal, Subrata, Patra, Binoy Krishna, Pooja, Prakash, Jai, Priyadarshini, Manaswini, R, Vyshakh B, Ruggieri, Marco, Sahoo, Nihar Ranjan, Sahoo, Raghunath, Shahi, Om, Sharma, Devanshu, Sharma, Rishabh, Sharma, Rishi
The hot and dense QCD matter, known as the Quark-Gluon Plasma (QGP), is explored through heavy-ion collision experiments at the LHC and RHIC. Jets and heavy flavors, produced from the initial hard scattering, are used as hard probes to study the prop
Externí odkaz:
http://arxiv.org/abs/2412.14026
Autor:
Desai, Saaketh, Addamane, Sadhvikas, Tsao, Jeffrey Y., Brener, Igal, Swiler, Laura P., Dingreville, Remi, Iyer, Prasad P.
Advances in robotic control and sensing have propelled the rise of automated scientific laboratories capable of high-throughput experiments. However, automated scientific laboratories are currently limited by human intuition in their ability to effic
Externí odkaz:
http://arxiv.org/abs/2412.12347