Zobrazeno 1 - 10
of 8 503
pro vyhledávání: '"Hosseinzadeh, P."'
Autor:
Aghakhanloo, Mojgan, Smith, Nathan, Andrews, Jennifer E., Filippenko, Alexei V., Hosseinzadeh, Griffin, Jencson, Jacob E., Pearson, Jeniveve, Sand, David J., Brink, Thomas G., Clubb, Kelsey I.
We present spectra of the supernova (SN) impostor AT 2016blu spanning over a decade. This transient exhibits quasiperiodic outbursts with a $\sim$113 d period, likely triggered by periastron encounters in an eccentric binary system where the primary
Externí odkaz:
http://arxiv.org/abs/2412.13117
Autor:
Baer-Way, Raphael, Chandra, Poonam, Modjaz, Maryam, Kumar, Sahana, Pellegrino, Craig, Chevalier, Roger, Crawford, Adrian, Sarangi, Arkaprabha, Smith, Nathan, Maeda, Keiichi, Nayana, A. J., Filippenko, Alexei V., Andrews, Jennifer E., Arcavi, Iair, Bostroem, K. Azalee, Brink, Thomas G., Dong, Yize, Dwarkadas, Vikram, Farah, Joseph R., Howell, D. Andrew, Hiramatsu, Daichi, Hosseinzadeh, Griffin, McCully, Curtis, Meza, Nicolas, Newsome, Megan, Gonzalez, Estefania Padilla, Pearson, Jeniveve, Sand, David J., Shrestha, Manisha, Terreran, Giacomo, Valenti, Stefano, Wyatt, Samuel, Yang, Yi, Zheng, WeiKang
While the subclass of interacting supernovae with narrow hydrogen emission lines (SNe IIn) consists of some of the longest-lasting and brightest SNe ever discovered, their progenitors are still not well understood. Investigating SNe IIn as they emit
Externí odkaz:
http://arxiv.org/abs/2412.06914
Autor:
Vouitsis, Noël, Hosseinzadeh, Rasa, Ross, Brendan Leigh, Villecroze, Valentin, Gorti, Satya Krishna, Cresswell, Jesse C., Loaiza-Ganem, Gabriel
Although diffusion models can generate remarkably high-quality samples, they are intrinsically bottlenecked by their expensive iterative sampling procedure. Consistency models (CMs) have recently emerged as a promising diffusion model distillation me
Externí odkaz:
http://arxiv.org/abs/2411.08954
Autor:
Andreoni, Igor, Margutti, Raffaella, Banovetz, John, Greenstreet, Sarah, Hebert, Claire-Alice, Lister, Tim, Palmese, Antonella, Piranomonte, Silvia, Smartt, S. J., Smith, Graham P., Stein, Robert, Ahumada, Tomas, Anand, Shreya, Auchettl, Katie, Bannister, Michele T., Bellm, Eric C., Bloom, Joshua S., Bolin, Bryce T., Bom, Clecio R., Brethauer, Daniel, Brucker, Melissa J., Buckley, David A. H., Chandra, Poonam, Chornock, Ryan, Christensen, Eric, Cooke, Jeff, Corsi, Alessandra, Coughlin, Michael W., Cuevas-Otahola, Bolivia, Filippo, D'Ammando, Dai, Biwei, Dhawan, S., Filippenko, Alexei V., Foley, Ryan J., Franckowiak, Anna, Gomboc, Andreja, Gompertz, Benjamin P., Guy, Leanne P., Hazra, Nandini, Hernandez, Christopher, Hosseinzadeh, Griffin, Hussaini, Maryam, Ibrahimzade, Dina, Izzo, Luca, Jones, R. Lynne, Kang, Yijung, Kasliwal, Mansi M., Knight, Matthew, Kunnumkai, Keerthi, Lamb, Gavin P, LeBaron, Natalie, Lejoly, Cassandra, Levan, Andrew J., MacBride, Sean, Mallia, Franco, Malz, Alex I., Miller, Adam A., Mora, J. C., Narayan, Gautham, J., Nayana A., Nicholl, Matt, Nichols, Tiffany, Oates, S. R., Panayada, Akshay, Ragosta, Fabio, Ribeiro, Tiago, Ryczanowski, Dan, Sarin, Nikhil, Schwamb, Megan E., Sears, Huei, Seligman, Darryl Z., Sharma, Ritwik, Shrestha, Manisha, Simran, Stroh, Michael C., Terreran, Giacomo, Thakur, Aishwarya Linesh, Trivedi, Aum, Tyson, J. Anthony, Utsumi, Yousuke, Verma, Aprajita, Villar, V. Ashley, Volk, Kathryn, Vyas, Meet J., Wasserman, Amanda R., Wheeler, J. Craig, Yoachim, Peter, Zegarelli, Angela, Bianco, Federica
The Legacy Survey of Space and Time (LSST) at Vera C. Rubin Observatory is planned to begin in the Fall of 2025. The LSST survey cadence has been designed via a community-driven process regulated by the Survey Cadence Optimization Committee (SCOC), w
Externí odkaz:
http://arxiv.org/abs/2411.04793
Autor:
Andrews, Jennifer E., Shrestha, Manisha, Bostroem, K. Azalee, Dong, Yize, Pearson, Jeniveve, Fausnaugh, M. M., Sand, David J., Valenti, S., Ravi, Aravind P., Hoang, Emily, Hosseinzadeh, Griffin, Ilyin, Ilya, Janzen, Daryl, Lundquist, M. J., Meza, Nicolaz, Smith, Nathan, Jha, Saurabh W., Andrews, Moira, Farah, Joseph, Gonzalez, Estefania Padilla, Howell, D. Andrew, McCully, Curtis, Newsome, Megan, Pellegrino, Craig, Terreran, Giacomo, Wiggins, Patrick, Hsu, Brian, Christy, Collin T., Wang, Xiofeng, Liu, Jialian, Chen, Liyang
We present a comprehensive multi-epoch photometric and spectroscopic study of SN 2024bch, a nearby (19.9 Mpc) Type II supernova (SN) with prominent early high ionization emission lines. Optical spectra from 2.9 days after the estimated explosion reve
Externí odkaz:
http://arxiv.org/abs/2411.02497
Autor:
Ravi, Aravind P., Valenti, Stefano, Dong, Yize, Hiramatsu, Daichi, Barmentloo, Stan, Jerkstrand, Anders, Bostroem, K. Azalee, Pearson, Jeniveve, Shrestha, Manisha, Andrews, Jennifer E., Sand, David J., Hosseinzadeh, Griffin, Lundquist, Michael, Hoang, Emily, Mehta, Darshana, Retamal, Nicolas Meza, Martas, Aidan, Jha, Saurabh W., Janzen, Daryl, Subrayan, Bhagya, Howell, D. Andrew, McCully, Curtis, Farah, Joseph, Newsome, Megan, Gonzalez, Estefania Padilla, Terreran, Giacomo, Andrews, Moira, Filippenko, Alexei V., Brink, Thomas G., Zheng, Weikang, Yang, Yi, Vinko, Jozsef, Wheeler, J. Craig, Smith, Nathan, Rho, Jeonghee, Konyves-Toth, Reka, Gutierrez, Claudia P.
We present supernova (SN) 2023ufx, a unique Type IIP SN with the shortest known plateau duration ($t_\mathrm{PT}$ $\sim$47 days), a luminous V-band peak ($M_{V}$ = $-$18.42 $\pm$ 0.08 mag), and a rapid early decline rate ($s1$ = 3.47 $\pm$ 0.09 mag (
Externí odkaz:
http://arxiv.org/abs/2411.02493
Autor:
Ross, Brendan Leigh, Kamkari, Hamidreza, Wu, Tongzi, Hosseinzadeh, Rasa, Liu, Zhaoyan, Stein, George, Cresswell, Jesse C., Loaiza-Ganem, Gabriel
As deep generative models have progressed, recent work has shown them to be capable of memorizing and reproducing training datapoints when deployed. These findings call into question the usability of generative models, especially in light of the lega
Externí odkaz:
http://arxiv.org/abs/2411.00113
Autor:
Hosseinzadeh, Mehdi, Reid, Ian
In the field of autonomous driving and mobile robotics, there has been a significant shift in the methods used to create Bird's Eye View (BEV) representations. This shift is characterised by using transformers and learning to fuse measurements from d
Externí odkaz:
http://arxiv.org/abs/2410.20969
Autor:
Li, Peiyu, Bahri, Omar, Hosseinzadeh, Pouya, Boubrahimi, Soukaïna Filali, Hamdi, Shah Muhammad
As the demand for interpretable machine learning approaches continues to grow, there is an increasing necessity for human involvement in providing informative explanations for model decisions. This is necessary for building trust and transparency in
Externí odkaz:
http://arxiv.org/abs/2410.20539
Autor:
Ma, Junwei, Thomas, Valentin, Hosseinzadeh, Rasa, Kamkari, Hamidreza, Labach, Alex, Cresswell, Jesse C., Golestan, Keyvan, Yu, Guangwei, Volkovs, Maksims, Caterini, Anthony L.
The challenges faced by neural networks on tabular data are well-documented and have hampered the progress of tabular foundation models. Techniques leveraging in-context learning (ICL) have shown promise here, allowing for dynamic adaptation to unsee
Externí odkaz:
http://arxiv.org/abs/2410.18164