Zobrazeno 1 - 10
of 9 300
pro vyhledávání: '"QIN, YU"'
Autor:
Sharma, Kritti, Ravi, Vikram, Connor, Liam, Law, Casey, Ocker, Stella Koch, Sherman, Myles, Kosogorov, Nikita, Faber, Jakob, Hallinan, Gregg, Harnach, Charlie, Hellbourg, Greg, Hobbs, Rick, Hodge, David, Hodges, Mark, Lamb, James, Rasmussen, Paul, Somalwar, Jean, Weinreb, Sander, Woody, David, Leja, Joel, Anand, Shreya, Das, Kaustav Kashyap, Qin, Yu-Jing, Rose, Sam, Dong, Dillon Z., Miller, Jessie, Yao, Yuhan
Fast Radio Bursts (FRBs) are millisecond-duration events detected from beyond the Milky Way. FRB emission characteristics favor highly magnetized neutron stars, or magnetars, as the sources, as evidenced by FRB-like bursts from a galactic magnetar, a
Externí odkaz:
http://arxiv.org/abs/2409.16964
Publikováno v:
MNRAS, 2024, Vol. 530, Issue 4, Pages 4695-4711
Transient surveys routinely detect supernovae (SNe) without obvious host galaxies. To understand the demographics of these "hostless" SNe and to constrain the possible host properties, we identify 161 SNe reported to the Transient Name Server since 2
Externí odkaz:
http://arxiv.org/abs/2409.13804
Autor:
Qin, Yu-Jing, Zabludoff, Ann
Publikováno v:
MNRAS, 2024, Volume 533, Issue 3
We use the latest dataset of supernova (SN) host galaxies to investigate how the host properties -- stellar mass, star formation rate, metallicity, absolute magnitude, and colour -- differ across SN types, with redshift-driven selection effects contr
Externí odkaz:
http://arxiv.org/abs/2409.11461
Autor:
Bernárdez, Guillermo, Telyatnikov, Lev, Montagna, Marco, Baccini, Federica, Papillon, Mathilde, Ferriol-Galmés, Miquel, Hajij, Mustafa, Papamarkou, Theodore, Bucarelli, Maria Sofia, Zaghen, Olga, Mathe, Johan, Myers, Audun, Mahan, Scott, Lillemark, Hansen, Vadgama, Sharvaree, Bekkers, Erik, Doster, Tim, Emerson, Tegan, Kvinge, Henry, Agate, Katrina, Ahmed, Nesreen K, Bai, Pengfei, Banf, Michael, Battiloro, Claudio, Beketov, Maxim, Bogdan, Paul, Carrasco, Martin, Cavallo, Andrea, Choi, Yun Young, Dasoulas, George, Elphick, Matouš, Escalona, Giordan, Filipiak, Dominik, Fritze, Halley, Gebhart, Thomas, Gil-Sorribes, Manel, Goomanee, Salvish, Guallar, Victor, Imasheva, Liliya, Irimia, Andrei, Jin, Hongwei, Johnson, Graham, Kanakaris, Nikos, Koloski, Boshko, Kovač, Veljko, Lecha, Manuel, Lee, Minho, Leroy, Pierrick, Long, Theodore, Magai, German, Martinez, Alvaro, Masden, Marissa, Mežnar, Sebastian, Miquel-Oliver, Bertran, Molina, Alexis, Nikitin, Alexander, Nurisso, Marco, Piekenbrock, Matt, Qin, Yu, Rygiel, Patryk, Salatiello, Alessandro, Schattauer, Max, Snopov, Pavel, Suk, Julian, Sánchez, Valentina, Tec, Mauricio, Vaccarino, Francesco, Verhellen, Jonas, Wantiez, Frederic, Weers, Alexander, Zajec, Patrik, Škrlj, Blaž, Miolane, Nina
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM). The challenge focused on the problem
Externí odkaz:
http://arxiv.org/abs/2409.05211
Autor:
Rigault, Mickael, Smith, Mathew, Goobar, Ariel, Maguire, Kate, Dimitriadis, Georgios, Burgaz, Umut, Dhawan, Suhail, Sollerman, Jesper, Regnault, Nicolas, Kowalski, Marek, Amenouche, Melissa, Aubert, Marie, Barjou-Delayre, Chloé, Bautista, Julian, Bloom, Josh S., Carreres, Bastien, Chen, Tracy X., Copin, Yannick, Deckers, Maxime, Fouchez, Dominique, Fremling, Christoffer, Galbany, Lluis, Ginolin, Madeleine, Graham, Matthew, Kasliwal, Mancy M., Kenworthy, W. D'Arcy, Kim, Young-Lo, Kuhn, Dylan, Masci, Frank F., Müller-Bravo, Tomas, Miller, Adam, Johansson, Joel, Nordin, Jakob, Nugent, Peter, Andreoni, Igor, Bellm, Eric, Betoule, Marc, Osman, Mahmoud, Perley, Dan, Popovic, Brodie, Rosnet, Philippe, Rosselli, Damiano, Ruppin, Florian, Senzel, Robert, Rusholme, Ben, Schweyer, Tassilo, Terwel, Jacco H., Townsend, Alice, Tzanidakis, Andy, Wold, Avery, Purdum, Josiah, Qin, Yu-Jing, Racine, Benjamin, Reusch, Simeon, Riddle, Reed, Yan, Lin
We present the first homogeneous release of several thousand Type Ia supernovae (SNe Ia), all having spectroscopic classification, and spectroscopic redshifts for half the sample. This release, named the "DR2", contains 3628 nearby (z < 0.3) SNe Ia d
Externí odkaz:
http://arxiv.org/abs/2409.04346
Autor:
Schulze, Steve, Gal-Yam, Avishay, Dessart, Luc, Miller, Adam A., Woosley, Stan E., Yang, Yi, Bulla, Mattia, Yaron, Ofer, Sollerman, Jesper, Filippenko, Alexei V., Hinds, K-Ryan, Perley, Daniel A., Tsuna, Daichi, Lunnan, Ragnhild, Sarin, Nikhil, Brennan, Sean J., Brink, Thomas G., Bruch, Rachel J., Chen, Ping, Das, Kaustav K., Dhawan, Suhail, Fransson, Claes, Fremling, Christoffer, Gangopadhyay, Anjasha, Irani, Ido, Jerkstrand, Anders, Knezevic, Nikola, Kushnir, Doron, Maeda, Keiichi, Maguire, Kate, Ofek, Eran, Omand, Conor M. B., Qin, Yu-Jing, Sharma, Yashvi, Sit, Tawny, Srinivasaragavan, Gokul P., Strothjohann, Nora L., Takei, Yuki, Waxman, Eli, Yan, Lin, Yao, Yuhan, Zheng, WeiKang, Zimmerman, Erez A., Bellm, Eric C., Coughlin, Michael W., Masci, Frank. J., Purdum, Josiah, Rigault, Mickael, Wold, Avery, Kulkarni, Shrinivas R.
The cores of stars are the cosmic furnaces where light elements are fused into heavier nuclei. The fusion of hydrogen to helium initially powers all stars. The ashes of the fusion reactions are then predicted to serve as fuel in a series of stages, e
Externí odkaz:
http://arxiv.org/abs/2409.02054
Inadequate bounding box modeling in regression tasks constrains the performance of one-stage 3D object detection. Our study reveals that the primary reason lies in two aspects: (1) The limited center-offset prediction seriously impairs the bounding b
Externí odkaz:
http://arxiv.org/abs/2409.00690
Autor:
Rodriguez, Antonio C., El-Badry, Kareem, Suleimanov, Valery, Pala, Anna F., Kulkarni, Shrinivas R., Gaensicke, Boris, Mori, Kaya, Rich, R. Michael, Sarkar, Arnab, Bao, Tong, de Oliveira, Raimundo Lopes, Ramsay, Gavin, Szkody, Paula, Graham, Matthew, Prince, Thomas A., Caiazzo, Ilaria, Vanderbosch, Zachary P., van Roestel, Jan, Das, Kaustav K., Qin, Yu-Jing, Kasliwal, Mansi M., Wold, Avery, Groom, Steven L., Reiley, Daniel, Riddle, Reed
We present volume-limited samples of cataclysmic variables (CVs) and AM CVn binaries jointly selected from SRG/eROSITA eRASS1 and \textit{Gaia} DR3 using an X-ray + optical color-color diagram (the ``X-ray Main Sequence"). This tool identifies all CV
Externí odkaz:
http://arxiv.org/abs/2408.16053
Autor:
Chang, Serina, Lin, Zhiyin, Yan, Benjamin, Bembde, Swapnil, Xiu, Qi, Wong, Chi Heem, Qin, Yu, Kloster, Frank, Luo, Alex, Palleti, Raj, Leskovec, Jure
The global economy relies on the flow of goods over supply chain networks, with nodes as firms and edges as transactions between firms. While we may observe these external transactions, they are governed by unseen production functions, which determin
Externí odkaz:
http://arxiv.org/abs/2407.18772
Merge trees are a valuable tool in the scientific visualization of scalar fields; however, current methods for merge tree comparisons are computationally expensive, primarily due to the exhaustive matching between tree nodes. To address this challeng
Externí odkaz:
http://arxiv.org/abs/2404.05879