Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Malz, Alex I"'
Autor:
Merz, Grant, Liu, Xin, Schmidt, Samuel, Malz, Alex I., Zhang, Tianqing, Branton, Doug, Burke, Colin J., Delucchi, Melissa, Ejjagiri, Yaswant Sai, Kubica, Jeremy, Liu, Yichen, Lynn, Olivia, Oldag, Drew, Collaboration, The LSST Dark Energy Science
Photometric redshifts will be a key data product for the Rubin Observatory Legacy Survey of Space and Time (LSST) as well as for future ground and space-based surveys. The need for photometric redshifts, or photo-zs, arises from sparse spectroscopic
Externí odkaz:
http://arxiv.org/abs/2411.18769
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
Extragalactic science and cosmology with Stage IV galaxy surveys will rely almost exclusively on redshift measurements derived solely from photometry, which are subject to systematic and statistical uncertainties with numerous analysis choices, such
Externí odkaz:
http://arxiv.org/abs/2409.20443
Autor:
Mendoza, Ismael, Torchylo, Andrii, Sainrat, Thomas, Guinot, Axel, Boucaud, Alexandre, Paillassa, Maxime, Avestruz, Camille, Adari, Prakruth, Aubourg, Eric, Biswas, Biswajit, Buchanan, James, Burchat, Patricia, Doux, Cyrille, Joseph, Remy, Kamath, Sowmya, Malz, Alex I., Merz, Grant, Miyatake, Hironao, Roucelle, Cécile, Zhang, Tianqing, Collaboration, the LSST Dark Energy Science
We present an open source Python library for simulating overlapping (i.e., blended) images of galaxies and performing self-consistent comparisons of detection and deblending algorithms based on a suite of metrics. The package, named Blending Toolkit
Externí odkaz:
http://arxiv.org/abs/2409.06986
Autor:
Hang, Qianjun, Joachimi, Benjamin, Charles, Eric, Crenshaw, John Franklin, Larsen, Patricia, Malz, Alex I., Schmidt, Sam, Yan, Ziang, Zhang, Tianqing, Collaboration, the LSST Dark Energy Science
We investigate the impact of spatial survey non-uniformity on the galaxy redshift distributions for forthcoming data releases of the Rubin Observatory Legacy Survey of Space and Time (LSST). Specifically, we construct a mock photometry dataset degrad
Externí odkaz:
http://arxiv.org/abs/2409.02501
Autor:
Crenshaw, John Franklin, Kalmbach, J. Bryce, Gagliano, Alexander, Yan, Ziang, Connolly, Andrew J., Malz, Alex I., Schmidt, Samuel J., Collaboration, The LSST Dark Energy Science
Evaluating the accuracy and calibration of the redshift posteriors produced by photometric redshift (photo-z) estimators is vital for enabling precision cosmology and extragalactic astrophysics with modern wide-field photometric surveys. Evaluating p
Externí odkaz:
http://arxiv.org/abs/2405.04740
Autor:
Lee, Jaemyoung Jason, Sako, Masao, Kessler, Richard, Malz, Alex I., Collaboration, The LSST Dark Energy Science
Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere's refractive index, which shifts the apparent positions of stars and galaxies and distorts their shapes depending on their spectral energy distributions
Externí odkaz:
http://arxiv.org/abs/2405.04522
Autor:
de Soto, Kaylee M., Villar, Ashley, Berger, Edo, Gomez, Sebastian, Hosseinzadeh, Griffin, Branton, Doug, Campos, Sandro, DeLucchi, Melissa, Kubica, Jeremy, Lynn, Olivia, Malanchev, Konstantin, Malz, Alex I.
Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric surveys, such as the Zwicky Transient Facility (ZTF) and the Vera C.
Externí odkaz:
http://arxiv.org/abs/2403.07975
Autor:
Moskowitz, Irene, Gawiser, Eric, Crenshaw, John Franklin, Andrews, Brett H., Malz, Alex I., Schmidt, Samuel, Collaboration, The LSST Dark Energy Science
Publikováno v:
ApJL 967 L6 (2024)
Large imaging surveys will rely on photometric redshifts (photo-z's), which are typically estimated through machine learning methods. Currently planned spectroscopic surveys will not be deep enough to produce a representative training sample for LSST
Externí odkaz:
http://arxiv.org/abs/2402.15551
Autor:
Malz, Alex I., Dai, Mi, Ponder, Kara A., Ishida, Emille E. O., Gonzalez-Gaitain, Santiago, Durgesh, Rupesh, Krone-Martins, Alberto, de Souza, Rafael S., Kennamer, Noble, Sreejith, Sreevarsha, Galbany, Lluis, Collaboration, The LSST Dark Energy Science, Initiative, The Cosmostatistics
Context: When selecting a classifier to use for a supernova Ia (SN Ia) cosmological analysis, it is common to make decisions based on metrics of classification performance, i.e. contamination within the photometrically classified SN Ia sample, rather
Externí odkaz:
http://arxiv.org/abs/2305.14421