Zobrazeno 1 - 10
of 6 470
pro vyhledávání: '"P. Arunachalam"'
Autor:
W. V. Jacobson-Galán, K. W. Davis, C. D. Kilpatrick, L. Dessart, R. Margutti, R. Chornock, R. J. Foley, P. Arunachalam, K. Auchettl, C. R. Bom, R. Cartier, D. A. Coulter, G. Dimitriadis, D. Dickinson, M. R. Drout, A. T. Gagliano, C. Gall, B. Garretson, L. Izzo, D. O. Jones, N. LeBaron, H.-Y. Miao, D. Milisavljevic, Y.-C. Pan, A. Rest, C. Rojas-Bravo, A. Santos, H. Sears, B. M. Subrayan, K. Taggart, S. Tinyanont
Publikováno v:
The Astrophysical Journal, Vol 972, Iss 2, p 177 (2024)
We present UV–optical–near-infrared observations and modeling of supernova (SN) 2024ggi, a type II supernova (SN II) located in NGC 3621 at 7.2 Mpc. Early-time (“flash”) spectroscopy of SN 2024ggi within +0.8 days of discovery shows emission
Externí odkaz:
https://doaj.org/article/e1c8f5ec08464919a5dfa4b5ef64d279
Autor:
Arunachalam, Srinivasan, Dutt, Arkopal
We consider the following task: suppose an algorithm is given copies of an unknown $n$-qubit quantum state $|\psi\rangle$ promised $(i)$ $|\psi\rangle$ is $\varepsilon_1$-close to a stabilizer state in fidelity or $(ii)$ $|\psi\rangle$ is $\varepsilo
Externí odkaz:
http://arxiv.org/abs/2408.06289
Autor:
Mehta, Nikhil, Lorraine, Jonathan, Masson, Steve, Arunachalam, Ramanathan, Bhat, Zaid Pervaiz, Lucas, James, Zachariah, Arun George
When training deep learning models, the performance depends largely on the selected hyperparameters. However, hyperparameter optimization (HPO) is often one of the most expensive parts of model design. Classical HPO methods treat this as a black-box
Externí odkaz:
http://arxiv.org/abs/2406.18630
Autor:
Kushwaha, Abhijit Kumar, Arunachalam, Sankara, Jokinen, Ville, Daniel, Dan, Truscott, Tadd T.
This paper explores the friction forces encountered by droplets on non-wetting surfaces, specifically focusing on superhydrophobic and superheated substrates. Employing a combination of experimental techniques, including inclined plane tests and cant
Externí odkaz:
http://arxiv.org/abs/2405.17923
We consider the problem of learning low-degree quantum objects up to $\varepsilon$-error in $\ell_2$-distance. We show the following results: $(i)$ unknown $n$-qubit degree-$d$ (in the Pauli basis) quantum channels and unitaries can be learned using
Externí odkaz:
http://arxiv.org/abs/2405.10933
Autor:
Jacobson-Galán, W. V., Davis, K. W., Kilpatrick, C. D., Dessart, L., Margutti, R., Chornock, R., Foley, R. J., Arunachalam, P., Auchettl, K., Bom, C. R., Cartier, R., Coulter, D. A., Dimitriadis, G., Dickinson, D., Drout, M. R., Gagliano, A. T., Gall, C., Garretson, B., Izzo, L., Jones, D. O., LeBaron, N., Miao, H. -Y., Milisavljevic, D., Pan, Y. -C., Rest, A., Rojas-Bravo, C., Santos, A., Sears, H., Subrayan, B. M., Taggart, K., Tinyanont, S.
We present UV/optical/NIR observations and modeling of supernova (SN) 2024ggi, a type II supernova (SN II) located in NGC 3621 at 7.2 Mpc. Early-time ("flash") spectroscopy of SN 2024ggi within +0.8 days of discovery shows emission lines of H I, He I
Externí odkaz:
http://arxiv.org/abs/2404.19006
Automating the segregation process is a need for every sector experiencing a high volume of materials handling, repetitive and exhaustive operations, in addition to risky exposures. Learning automated pick-and-place operations can be efficiently done
Externí odkaz:
http://arxiv.org/abs/2404.17673
Autor:
Arunachalam, Ayush, Kintz, Ian, Banerjee, Suvadeep, Raha, Arnab, Jin, Xiankun, Su, Fei, Prasanth, Viswanathan Pillai, Parekhji, Rubin A., Natarajan, Suriyaprakash, Basu, Kanad
Given the widespread use of safety-critical applications in the automotive field, it is crucial to ensure the Functional Safety (FuSa) of circuits and components within automotive systems. The Analog and Mixed-Signal (AMS) circuits prevalent in these
Externí odkaz:
http://arxiv.org/abs/2404.01632
Autor:
Mohammad, Fahim, Arunachalam, Lakshmi, Sadhu, Samanway, Aasman, Boudewijn, Garg, Shweta, Ahmed, Adil, Colman, Silvie, Arunachalam, Meena, Kulkarni, Sudhir, Mirhaji, Parsa
This study proposes the use of Machine Learning models to predict the early onset of sepsis using deidentified clinical data from Montefiore Medical Center in Bronx, NY, USA. A supervised learning approach was adopted, wherein an XGBoost model was tr
Externí odkaz:
http://arxiv.org/abs/2402.03486
Autor:
D. Shoba, Roshni Vijayan, S. Robin, N. Manivannan, K.Iyanar, P. Arunachalam, N. Nadarajan, M.Arumugam Pillai, S. Geetha
Publikováno v:
Electronic Journal of Plant Breeding, Vol 10, Iss 3, Pp 1095-1104 (2019)
A total of 67 aromatic rice germplasm lines were evaluated for nine traits by PCA and cluster analysis for determining the pattern of variation, relationship among individuals and their characteristics. Out of nine PCs, four exhibited more than 1.0
Externí odkaz:
https://doaj.org/article/6dc53b4997764ee4956cbc875d56e71b