The Dark Energy Spectroscopic Instrument: One-dimensional power spectrum from first Lyman-$α$ forest samples with Fast Fourier Transform
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| Natura: | Preprint |
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2023
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| author | Ravoux, Corentin Abdul-Karim, Marie Lynn Armengaud, Eric Walther, Michael Karaçaylı, Naim Göksel Martini, Paul Guy, Julien Aguilar, Jessica Nicole Ahlen, Steven Bailey, Stephen Bautista, Julian Beltran, Sergio Felipe Brooks, David Cabayol-Garcia, Laura Chabanier, Solène Chaussidon, Edmond Chaves-Montero, Jonás Dawson, Kyle de la Cruz, Rodrigo de la Macorra, Axel Doel, Peter Fanning, Kevin Font-Ribera, Andreu Forero-Romero, Jaime Gontcho, Satya Gontcho A Gonzalez-Morales, Alma Gordon, Calum Herrera-Alcantar, Hiram Honscheid, Klaus Iršič, Vid Ishak, Mustapha Kehoe, Robert Kisner, Theodore Kremin, Anthony Landriau, Martin Guillou, Laurent Le Levi, Michael Lukić, Zarija Magneville, Christophe Meisner, Aaron Miquel, Ramon Moustakas, John Mueller, Eva-Maria Muñoz-Gutiérrez, Andrea Napolitano, Lucas Nie, Jundan Niz, Gustavo Palanque-Delabrouille, Nathalie Percival, Will Pérez-Ràfols, Ignasi Pieri, Matthew Poppett, Claire Prada, Francisco Pérez, César Ramírez Rossi, Graziano Sanchez, Eusebio Schlegel, David Schubnell, Michael Seo, Hee-Jong Sinigaglia, Francesco Tan, Ting Tarlé, Gregory Wang, Ben Weaver, Benjamin Yèche, Christophe Zhou, Zhimin |
| author_facet | Ravoux, Corentin Abdul-Karim, Marie Lynn Armengaud, Eric Walther, Michael Karaçaylı, Naim Göksel Martini, Paul Guy, Julien Aguilar, Jessica Nicole Ahlen, Steven Bailey, Stephen Bautista, Julian Beltran, Sergio Felipe Brooks, David Cabayol-Garcia, Laura Chabanier, Solène Chaussidon, Edmond Chaves-Montero, Jonás Dawson, Kyle de la Cruz, Rodrigo de la Macorra, Axel Doel, Peter Fanning, Kevin Font-Ribera, Andreu Forero-Romero, Jaime Gontcho, Satya Gontcho A Gonzalez-Morales, Alma Gordon, Calum Herrera-Alcantar, Hiram Honscheid, Klaus Iršič, Vid Ishak, Mustapha Kehoe, Robert Kisner, Theodore Kremin, Anthony Landriau, Martin Guillou, Laurent Le Levi, Michael Lukić, Zarija Magneville, Christophe Meisner, Aaron Miquel, Ramon Moustakas, John Mueller, Eva-Maria Muñoz-Gutiérrez, Andrea Napolitano, Lucas Nie, Jundan Niz, Gustavo Palanque-Delabrouille, Nathalie Percival, Will Pérez-Ràfols, Ignasi Pieri, Matthew Poppett, Claire Prada, Francisco Pérez, César Ramírez Rossi, Graziano Sanchez, Eusebio Schlegel, David Schubnell, Michael Seo, Hee-Jong Sinigaglia, Francesco Tan, Ting Tarlé, Gregory Wang, Ben Weaver, Benjamin Yèche, Christophe Zhou, Zhimin |
| contents | We present the one-dimensional Lyman-$α$ forest power spectrum measurement using the first data provided by the Dark Energy Spectroscopic Instrument (DESI). The data sample comprises $26,330$ quasar spectra, at redshift $z > 2.1$, contained in the DESI Early Data Release and the first two months of the main survey. We employ a Fast Fourier Transform (FFT) estimator and compare the resulting power spectrum to an alternative likelihood-based method in a companion paper. We investigate methodological and instrumental contaminants associated to the new DESI instrument, applying techniques similar to previous Sloan Digital Sky Survey (SDSS) measurements. We use synthetic data based on log-normal approximation to validate and correct our measurement. We compare our resulting power spectrum with previous SDSS and high-resolution measurements. With relatively small number statistics, we successfully perform the FFT measurement, which is already competitive in terms of the scale range. At the end of the DESI survey, we expect a five times larger Lyman-$α$ forest sample than SDSS, providing an unprecedented precise one-dimensional power spectrum measurement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_06311 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | The Dark Energy Spectroscopic Instrument: One-dimensional power spectrum from first Lyman-$α$ forest samples with Fast Fourier Transform Ravoux, Corentin Abdul-Karim, Marie Lynn Armengaud, Eric Walther, Michael Karaçaylı, Naim Göksel Martini, Paul Guy, Julien Aguilar, Jessica Nicole Ahlen, Steven Bailey, Stephen Bautista, Julian Beltran, Sergio Felipe Brooks, David Cabayol-Garcia, Laura Chabanier, Solène Chaussidon, Edmond Chaves-Montero, Jonás Dawson, Kyle de la Cruz, Rodrigo de la Macorra, Axel Doel, Peter Fanning, Kevin Font-Ribera, Andreu Forero-Romero, Jaime Gontcho, Satya Gontcho A Gonzalez-Morales, Alma Gordon, Calum Herrera-Alcantar, Hiram Honscheid, Klaus Iršič, Vid Ishak, Mustapha Kehoe, Robert Kisner, Theodore Kremin, Anthony Landriau, Martin Guillou, Laurent Le Levi, Michael Lukić, Zarija Magneville, Christophe Meisner, Aaron Miquel, Ramon Moustakas, John Mueller, Eva-Maria Muñoz-Gutiérrez, Andrea Napolitano, Lucas Nie, Jundan Niz, Gustavo Palanque-Delabrouille, Nathalie Percival, Will Pérez-Ràfols, Ignasi Pieri, Matthew Poppett, Claire Prada, Francisco Pérez, César Ramírez Rossi, Graziano Sanchez, Eusebio Schlegel, David Schubnell, Michael Seo, Hee-Jong Sinigaglia, Francesco Tan, Ting Tarlé, Gregory Wang, Ben Weaver, Benjamin Yèche, Christophe Zhou, Zhimin Cosmology and Nongalactic Astrophysics We present the one-dimensional Lyman-$α$ forest power spectrum measurement using the first data provided by the Dark Energy Spectroscopic Instrument (DESI). The data sample comprises $26,330$ quasar spectra, at redshift $z > 2.1$, contained in the DESI Early Data Release and the first two months of the main survey. We employ a Fast Fourier Transform (FFT) estimator and compare the resulting power spectrum to an alternative likelihood-based method in a companion paper. We investigate methodological and instrumental contaminants associated to the new DESI instrument, applying techniques similar to previous Sloan Digital Sky Survey (SDSS) measurements. We use synthetic data based on log-normal approximation to validate and correct our measurement. We compare our resulting power spectrum with previous SDSS and high-resolution measurements. With relatively small number statistics, we successfully perform the FFT measurement, which is already competitive in terms of the scale range. At the end of the DESI survey, we expect a five times larger Lyman-$α$ forest sample than SDSS, providing an unprecedented precise one-dimensional power spectrum measurement. |
| title | The Dark Energy Spectroscopic Instrument: One-dimensional power spectrum from first Lyman-$α$ forest samples with Fast Fourier Transform |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2306.06311 |