ELG Spectroscopic Systematics Analysis of the DESI Data Release 1
| Title: | ELG Spectroscopic Systematics Analysis of the DESI Data Release 1 |
|---|---|
| Authors: | Yu, Jiaxi, Ross, Ashley J., Rocher, Antoine, Alves, Otávio, de Mattia, Arnaud, Forero-Sánchez, Daniel, Kneib, Jean-Paul, Krolewski, Alex, Lan, TingWen, Rashkovetskyi, Michael, Aguilar, Jessica Nicole, Ahlen, Steven, Bailey, Stephen, Brooks, David, Chaussidon, Edmond, Claybaugh, Todd, de la Macorra, Axel, Dey, Arjun, Dey, Biprateep, Doel, Peter, Fanning, Kevin, Forero-Romero, Jaime E., Gaztañaga, Enrique, Gontcho, Satya Gontcho A, Honscheid, Klaus, Howlett, Cullan, Juneau, Stephanie, Kisner, Theodore, Kremin, Anthony, Lambert, Andrew, Landriau, Martin, Guillou, Laurent Le, Levi, Michael E., Manera, Marc, Martini, Paul, Meisner, Aaron, Miquel, Ramon, Moustakas, John, Mueller, Eva-Maria, Muñoz-Gutiérrez, Andrea, Myers, Adam D., Nie, Jundan, Niz, Gustavo, Palanque-Delabrouille, Nathalie, Percival, Will J., Poppett, Claire, Prada, Francisco, Rezaie, Mehdi, Rossi, Graziano, Sanchez, Eusebio, Schlafly, Edward F., Schlegel, David, Schubnell, Michael, Seo, Hee-Jong, Sprayberry, David, Tarlé, Gregory, Weaver, Benjamin A., Zarrouk, Pauline, Zhao, Cheng, Zhou, Rongpu, Zou, Hu |
| Publication Year: | 2024 |
| Collection: | Astrophysics |
| Subject Terms: | Astrophysics - Cosmology and Nongalactic Astrophysics |
| More Details: | Dark Energy Spectroscopic Instrument (DESI) uses more than 2.4 million Emission Line Galaxies (ELGs) for 3D large-scale structure (LSS) analyses in its Data Release 1 (DR1). Such large statistics enable thorough research on systematic uncertainties. In this study, we focus on spectroscopic systematics of ELGs. The redshift success rate ($f_{\rm goodz}$) is the relative fraction of secure redshifts among all measurements. It depends on observing conditions, thus introduces non-cosmological variations to the LSS. We, therefore, develop the redshift failure weight ($w_{\rm zfail}$) and a per-fibre correction ($\eta_{\rm zfail}$) to mitigate these dependences. They have minor influences on the galaxy clustering. For ELGs with a secure redshift, there are two subtypes of systematics: 1) catastrophics (large) that only occur in a few samples; 2) redshift uncertainty (small) that exists for all samples. The catastrophics represent 0.26\% of the total DR1 ELGs, composed of the confusion between O\,\textsc{ii} and sky residuals, double objects, total catastrophics and others. We simulate the realistic 0.26\% catastrophics of DR1 ELGs, the hypothetical 1\% catastrophics, and the truncation of the contaminated $1.31 |
| Document Type: | Working Paper |
| Access URL: | http://arxiv.org/abs/2405.16657 |
| Accession Number: | edsarx.2405.16657 |
| Database: | arXiv |
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Subset Label: Collection Group: HoldingsInfo Data: Astrophysics – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Astrophysics+-+Cosmology+and+Nongalactic+Astrophysics%22">Astrophysics - Cosmology and Nongalactic Astrophysics</searchLink> – Name: Abstract Label: Description Group: Ab Data: Dark Energy Spectroscopic Instrument (DESI) uses more than 2.4 million Emission Line Galaxies (ELGs) for 3D large-scale structure (LSS) analyses in its Data Release 1 (DR1). Such large statistics enable thorough research on systematic uncertainties. In this study, we focus on spectroscopic systematics of ELGs. The redshift success rate ($f_{\rm goodz}$) is the relative fraction of secure redshifts among all measurements. It depends on observing conditions, thus introduces non-cosmological variations to the LSS. We, therefore, develop the redshift failure weight ($w_{\rm zfail}$) and a per-fibre correction ($\eta_{\rm zfail}$) to mitigate these dependences. They have minor influences on the galaxy clustering. For ELGs with a secure redshift, there are two subtypes of systematics: 1) catastrophics (large) that only occur in a few samples; 2) redshift uncertainty (small) that exists for all samples. The catastrophics represent 0.26\% of the total DR1 ELGs, composed of the confusion between O\,\textsc{ii} and sky residuals, double objects, total catastrophics and others. We simulate the realistic 0.26\% catastrophics of DR1 ELGs, the hypothetical 1\% catastrophics, and the truncation of the contaminated $1.31<z<1.33$ in the \textsc{AbacusSummit} ELG mocks. Their $P_\ell$ show non-negligible bias from the uncontaminated mocks. But their influences on the redshift space distortions (RSD) parameters are smaller than $0.2\sigma$. The redshift uncertainty of \Yone ELGs is 8.5 km/s with a Lorentzian profile. The code for implementing the catastrophics and redshift uncertainty on mocks can be found in https://github.com/Jiaxi-Yu/modelling_spectro_sys. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Working Paper – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="http://arxiv.org/abs/2405.16657" linkWindow="_blank">http://arxiv.org/abs/2405.16657</link> – Name: AN Label: Accession Number Group: ID Data: edsarx.2405.16657 |
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