ANNZ+: an enhanced photometric redshift estimation algorithm with applications on the PAU Survey

Autor: Pathi, Imdad Mahmud, Soo, John Y. H., Wee, Mao Jie, Zakaria, Sazatul Nadhilah, Ismail, Nur Azwin, Baugh, Carlton M., Manzoni, Giorgio, Gaztanaga, Enrique, Castander, Francisco J., Eriksen, Martin, Carretero, Jorge, Fernandez, Enrique, Garcia-Bellido, Juan, Miquel, Ramon, Padilla, Cristobal, Renard, Pablo, Sanchez, Eusebio, Sevilla-Noarbe, Ignacio, Tallada-Crespí, Pau

ANNZ is a fast and simple algorithm which utilises artificial neural networks (ANNs), it was known as one of the pioneers of machine learning approaches to photometric redshift estimation decades ago. We enhanced the algorithm by introducing new acti

Externí odkaz: http://arxiv.org/abs/2409.09981

JWST's PEARLS: Prime Extragalactic Areas for Reionization and Lensing Science: Project Overview and First Results

Autor: Windhorst, Rogier A., Cohen, Seth H., Jansen, Rolf A., Summers, Jake, Tompkins, Scott, Conselice, Christopher J., Driver, Simon P., Yan, Haojing, Coe, Dan, Frye, Brenda, Grogin, Norman, Koekemoer, Anton, Marshall, Madeline A., O'Brien, Rosalia, Pirzkal, Nor, Robotham, Aaron, Ryan, Jr., Russell E., Willmer, Christopher N. A., Carleton, Timothy, Diego, Jose M., Keel, William C., Porto, Paolo, Redshaw, Caleb, Scheller, Sydney, Wilkins, Stephen M., Willner, S. P., Zitrin, Adi, Adams, Nathan J., Austin, Duncan, Arendt, Richard G., Beacom, John F., Bhatawdekar, Rachana A., Bradley, Larry D., Broadhurst, Thomas J., Cheng, Cheng, Civano, Francesca, Dai, Liang, Dole, Herve, D'Silva, Jordan C. J., Duncan, Kenneth J., Fazio, Giovanni G., Ferrami, Giovanni, Ferreira, Leonardo, Finkelstein, Steven L., Furtak, Lukas J., Gim, Hansung B., Griffiths, Alex, Hammel, Heidi B., Harrington, Kevin C., Hathi, Nimish P., Holwerda, Benne W., Honor, Rachel, Huang, Jia-Sheng, Hyun, Minhee, Im, Myungshin, Joshi, Bhavin A., Kamieneski, Patrick S., Kelly, Patrick, Larson, Rebecca L., Li, Juno, Lim, Jeremy, Ma, Zhiyuan, Maksym, Peter, Manzoni, Giorgio, Meena, Ashish Kumar, Milam, Stefanie N., Nonino, Mario, Pascale, Massimo, Pierel, Justin D. R., Petric, Andreea, Polletta, Maria del Carmen, Rottgering, Huub J. A., Rutkowski, Michael J., Smail, Ian, Straughn, Amber N., Strolger, Louis-Gregory, Swirbul, Andi, Trussler, James A. A., Wang, Lifan, Welch, Brian, Wyithe, J. Stuart B., Yun, Min, Zackrisson, Erik, Zhang, Jiashuo, Zhao, Xiurui

We give an overview and describe the rationale, methods, and first results from NIRCam images of the JWST "Prime Extragalactic Areas for Reionization and Lensing Science" ("PEARLS") project. PEARLS uses up to eight NIRCam filters to survey several pr

Externí odkaz: http://arxiv.org/abs/2209.04119

The PAU Survey: An improved photo-$z$ sample in the COSMOS field

Autor: Alarcon, Alex, Gaztanaga, Enrique, Eriksen, Martin, Baugh, Carlton M., Cabayol, Laura, Casas, Ricard, Carretero, Jorge, Castander, Francisco J., De Vicente, Juan, Fernandez, Enrique, Garcia-Bellido, Juan, Hildebrandt, Hendrik, Hoekstra, Henk, Joachimi, Benjamin, Manzoni, Giorgio, Miquel, Ramon, Norberg, Peder, Padilla, Cristobal, Renard, Pablo, Sanchez, Eusebio, Serrano, Santiago, Sevilla-Noarbe, Ignacio, Siudek, Malgorzata, Tallada-Crespí, Pau

We present -- and make publicly available -- accurate and precise photometric redshifts in the ACS footprint from the COSMOS field for objects with $i_{\mathrm{AB}}\leq 23$. The redshifts are computed using a combination of narrow band photometry fro

Externí odkaz: http://arxiv.org/abs/2007.11132

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