Strong Carbon Features and a Red Early Color in the Underluminous Type Ia SN 2022xkq

Autor: Jeniveve Pearson, David J. Sand, Peter Lundqvist, Lluís Galbany, Jennifer E. Andrews, K. Azalee Bostroem, Yize Dong, Emily Hoang, Griffin Hosseinzadeh, Daryl Janzen, Jacob E. Jencson, Michael J. Lundquist, Darshana Mehta, Nicolás Meza Retamal, Manisha Shrestha, Stefano Valenti, Samuel Wyatt, Joseph P. Anderson, Chris Ashall, Katie Auchettl, Eddie Baron, Stéphane Blondin, Christopher R. Burns, Yongzhi Cai, Ting-Wan Chen, Laura Chomiuk, David A. Coulter, Dane Cross, Kyle W. Davis, Thomas de Jaeger, James M. DerKacy, Dhvanil D. Desai, Georgios Dimitriadis, Aaron Do, Joseph R. Farah, Ryan J. Foley, Mariusz Gromadzki, Claudia P. Gutiérrez, Joshua Haislip, Jonay I. González Hernández, Jason T. Hinkle, Willem B. Hoogendam, D. Andrew Howell, Peter Hoeflich, Eric Hsiao, Mark E. Huber, Saurabh W. Jha, Cristina Jiménez Palau, Charles D. Kilpatrick, Vladimir Kouprianov, Sahana Kumar, Lindsey A. Kwok, Conor Larison, Natalie LeBaron, Xavier Le Saux, Jing Lu, Curtis McCully, Tycho Mera Evans, Peter Milne, Maryam Modjaz, Nidia Morrell, Tomás E. Müller-Bravo, Megan Newsome, Matt Nicholl, Estefania Padilla Gonzalez, Anna V. Payne, Craig Pellegrino, Kim Phan, Jonathan Pineda-García, Anthony L. Piro, Lara Piscarreta, Abigail Polin, Daniel E. Reichart, César Rojas-Bravo, Stuart D. Ryder, Irene Salmaso, Michaela Schwab, Melissa Shahbandeh, Benjamin J. Shappee, Matthew R. Siebert, Nathan Smith, Jay Strader, Kirsty Taggart, Giacomo Terreran, Samaporn Tinyanont, M. A. Tucker, Giorgio Valerin, D. R. Young

Publikováno v: The Astrophysical Journal, Vol 960, Iss 1, p 29 (2023)

We present optical, infrared, ultraviolet, and radio observations of SN 2022xkq, an underluminous fast-declining Type Ia supernova (SN Ia) in NGC 1784 ( D ≈ 31 Mpc), from

Externí odkaz: https://doaj.org/article/0d3724b4428e48fe8aa08876a4a65aba

Perceived Social Support among Psychiatric Outpatients: A Cross-Sectional Study in Indonesia.

Autor: Novitayani, Sri, Marthoenis, Marthoenis, Martina, Martina, R., Farah Dineva, Alfiandi, Rudi, Aiyub, Aiyub

Publikováno v: Journal of Liaquat University of Medical & Health Sciences; 2024 Special Issue, p114-118, 5p

A comparison between the use of machine learning techniques and the water cloud model for the retrieval of soil moisture from Sentinel-1A and Sentinel-2A products

Autor: R. Inoubli, L. Bennaceur, N. Jarray, A. Ben Abbes, I. R. Farah

Publikováno v: Remote Sensing Letters. 13:980-990

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8391c66faf74a3ea6fae4caa01a1aa1b
https://doi.org/10.1080/2150704x.2022.2115862

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ESTIMATION OF PHYSICAL PARAMETERS OF A MULTILAYERED MULTI-SCALE VEGETATED SURFACE

Autor: I. Hosni, L. Bennaceur Farah, M. S. Naceur, I. R. Farah

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 453-460 (2016)

Soil moisture is important to enable the growth of vegetation in the way that it also conditions the development of plant population. Additionally, its assessment is important in hydrology and agronomy, and is a warning parameter for desertification.

Externí odkaz: https://doaj.org/article/936e243c0028401493e5dc42e18b92e7