Author: "Hernández-Monteagudo, C" / Database: OAIster - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Hernández-Monteagudo, C"' showing total 564 results

Start Over Author "Hernández-Monteagudo, C" Database OAIster

564 results on '"Hernández-Monteagudo, C"'

1. J-PLUS: Towards an homogeneous photometric calibration using Gaia BP/RP low-resolution spectra

Author: López-Sanjuan, C., Ramió, H. Vázquez, Xiao, K., Yuan, H., Carrasco, J. M., Varela, J., Cristóbal-Hornillos, D., Tremblay, P. -E., Ederoclite, A., Marín-Franch, A., Cenarro, A. J., Coelho, P. R. T., Daflon, S., del Pino, A., Sánchez, H. Domínguez, Fernández-Ontiveros, J. A., Hernán-Caballero, A., Jiménez-Esteban, F. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Hernández-Monteagudo, C., Moles, M., Sodré Jr, L., López-Sanjuan, C., Ramió, H. Vázquez, Xiao, K., Yuan, H., Carrasco, J. M., Varela, J., Cristóbal-Hornillos, D., Tremblay, P. -E., Ederoclite, A., Marín-Franch, A., Cenarro, A. J., Coelho, P. R. T., Daflon, S., del Pino, A., Sánchez, H. Domínguez, Fernández-Ontiveros, J. A., Hernán-Caballero, A., Jiménez-Esteban, F. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Hernández-Monteagudo, C., Moles, M., and Sodré Jr, L.
Abstract: We present the photometric calibration of the twelve optical passbands for the Javalambre Photometric Local Universe Survey (J-PLUS) third data release (DR3), comprising 1642 pointings of two square degrees each. We selected nearly 1.5 million main sequence stars with a signal-to-noise ratio larger than ten in the twelve J-PLUS passbands and available low-resolution (R = 20-80) spectrum from the blue and red photometers (BP/RP) in Gaia DR3. We compared the synthetic photometry from BP/RP spectra with the J-PLUS instrumental magnitudes, after correcting for the magnitude and color terms between both systems, to obtain an homogeneous photometric solution for J-PLUS. To circumvent the current limitations in the absolute calibration of the BP/RP spectra, the absolute color scale was derived using the locus of 109 white dwarfs closer than 100 pc with a negligible interstellar extinction. Finally, the absolute flux scale was anchored to the Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) photometry in the r band. The precision of the J-PLUS photometric calibration, estimated from duplicated objects observed in adjacent pointings and by comparison with the spectro-photometric standard star GD 153, is ~12 mmag in u, J0378, and J0395; and ~7 mmag in J0410, J0430, g, J0515, r, J0660, i, J0861, and z. The estimated accuracy in the calibration along the surveyed area is better than 1% for all the passbands. The Gaia BP/RP spectra provide a high-quality, homogeneous photometric reference in the optical range across the full-sky, in spite of their current limitations as an absolute reference. The calibration method for J-PLUS DR3 reaches an absolute precision and accuracy of 1% in the twelve optical filters within an area of 3284 square degrees., Comment: Submitted to Astronomy and Astrophysics. 17 pages, 14 figures, 2 appendix. Comments are welcome. arXiv admin note: text overlap with arXiv:2101.12407
Published: 2023

2. J-NEP: 60-band photometry and photometric redshifts for the James Webb Space Telescope North Ecliptic Pole Time-Domain Field

Author: Hernán-Caballero, A., Willmer, C. N. A., Varela, J., López-Sanjuan, C., Marín-Franch, A., Ramió, H. Vázquez, Civera, T., Ederoclite, A., Muniesa, D., Cenarro, J., Bonoli, S., Dupke, R., Lim, J., Chaves-Montero, J., Laur, J., Hernández-Monteagudo, C., Fernández-Ontiveros, J. A., Fernández-Soto, A., Díaz-García, L. A., Delgado, R. M. González, Queiroz, C., Vílchez, J. M., Abramo, R., Alcaniz, J., Benítez, N., Carneiro, S., Cristóbal-Hornillos, D., de Oliveira, C. Mendes, Moles, M., Sodré Jr., L., Taylor, K., Hernán-Caballero, A., Willmer, C. N. A., Varela, J., López-Sanjuan, C., Marín-Franch, A., Ramió, H. Vázquez, Civera, T., Ederoclite, A., Muniesa, D., Cenarro, J., Bonoli, S., Dupke, R., Lim, J., Chaves-Montero, J., Laur, J., Hernández-Monteagudo, C., Fernández-Ontiveros, J. A., Fernández-Soto, A., Díaz-García, L. A., Delgado, R. M. González, Queiroz, C., Vílchez, J. M., Abramo, R., Alcaniz, J., Benítez, N., Carneiro, S., Cristóbal-Hornillos, D., de Oliveira, C. Mendes, Moles, M., Sodré Jr., L., and Taylor, K.
Abstract: The J-PAS survey will observe ~1/3 of the northern sky with a set of 56 narrow-band filters using the dedicated 2.55 m JST telescope at the Javalambre Astrophysical Observatory. Prior to the installation of the main camera, in order to demonstrate the scientific potential of J-PAS, two small surveys were performed with the single-CCD Pathfinder camera: miniJPAS (~1 deg2 along the Extended Groth Strip), and J-NEP (~0.3 deg2 around the JWST North Ecliptic Pole Time Domain Field), including all 56 J-PAS filters as well as u, g, r, and i. J-NEP is ~0.5-1.0 magnitudes deeper than miniJPAS, providing photometry for 24,618 r-band detected sources and photometric redshifts (photo-z) for the 6,662 sources with r<23. In this paper we describe the photometry and photo-z of J-NEP and demonstrate a new method for the removal of systematic offsets in the photometry based on the median colours of galaxies, dubbed "galaxy locus recalibration". This method does not require spectroscopic observations except in a few reference pointings and, unlike previous methods, is applicable to the whole J-PAS survey. We use a spectroscopic sample of 787 galaxies to test the photo-z performance for J-NEP and in comparison to miniJPAS. We find that the deeper J-NEP observations result in a factor ~1.5-2 decrease in sigma_NMAD (a robust estimate of the standard deviation of the photo-z error) and the outlier rate relative to miniJPAS for r>21.5 sources, but no improvement in brighter ones. We find the same relation between sigma_NMAD and odds in J-NEP and miniJPAS, suggesting sigma_NMAD can be predicted for any set of J-PAS sources from their odds distribution alone, with no need for additional spectroscopy to calibrate the relation. We explore the causes for photo-z outliers and find that colour-space degeneracy at low S/N, photometry artifacts, source blending, and exotic spectra are the most important factors., Comment: 16 pages, 25 figures, accepted for publication in Astronomy and Astrophysics
Published: 2023
Full Text: View/download PDF

3. The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation

Author: Hernán-Caballero, A., Akhlaghi, M., López-Sanjuan, C., Vázquez-Ramió, H., Laur, J., Varela, J., Civera, T., Muniesa, D., Finoguenov, A., Fernández-Ontiveros, J. A., Domínguez-Sánchez, H., Chaves-Montero, J., Fernández-Soto, A., Lumbreras-Calle, A., Díaz-García, L. A., del Pino, A., Delgado, R. M. González, Hernández-Monteagudo, C., Coelho, P., Jiménez-Teja, Y., Lopes, P. A. A., Marra, V., Tempel, E., Vílchez, J. M., Abramo, R., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, J., Cristóbal-Hornillos, D., Dupke, R., Ederoclite, A., Marín-Franch, A., de Oliveira, C. Mendes, Moles, M., Sodré Jr., L., Taylor, K., Hernán-Caballero, A., Akhlaghi, M., López-Sanjuan, C., Vázquez-Ramió, H., Laur, J., Varela, J., Civera, T., Muniesa, D., Finoguenov, A., Fernández-Ontiveros, J. A., Domínguez-Sánchez, H., Chaves-Montero, J., Fernández-Soto, A., Lumbreras-Calle, A., Díaz-García, L. A., del Pino, A., Delgado, R. M. González, Hernández-Monteagudo, C., Coelho, P., Jiménez-Teja, Y., Lopes, P. A. A., Marra, V., Tempel, E., Vílchez, J. M., Abramo, R., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, J., Cristóbal-Hornillos, D., Dupke, R., Ederoclite, A., Marín-Franch, A., de Oliveira, C. Mendes, Moles, M., Sodré Jr., L., and Taylor, K.
Abstract: We present a new method for obtaining photometric redshifts (photo-z) for sources observed by multiple photometric surveys using a combination (conflation) of the redshift probability distributions (PDZs) obtained independently from each survey. The conflation of the PDZs has several advantages over the usual method of modelling all the photometry together, including modularity, speed, and accuracy of the results. Using a sample of galaxies with narrow-band photometry in 56 bands from J-PAS and deeper grizy photometry from the Hyper-SuprimeCam Subaru Strategic program (HSC-SSP), we show that PDZ conflation significantly improves photo-z accuracy compared to fitting all the photometry or using a weighted average of point estimates. The improvement over J-PAS alone is particularly strong for i>22 sources, which have low signal-to-noise ratio in the J-PAS bands. For the entire i<22.5 sample, we obtain a 64% (45%) increase in the number of sources with redshift errors |Dz|<0.003, a factor 3.3 (1.9) decrease in the normalised median absolute deviation of the errors (sigma_NMAD), and a factor 3.2 (1.3) decrease in the outlier rate compared to J-PAS (HSC-SSP) alone. The photo-z accuracy gains from combining the PDZs of J-PAS with a deeper broadband survey such as HSC-SSP are equivalent to increasing the depth of J-PAS observations by ~1.2--1.5 magnitudes. These results demonstrate the potential of PDZ conflation and highlight the importance of including the full PDZs in photo-z catalogues., Comment: 15 pages, 16 figures, 1 table. Accepted for publication in A&A
Published: 2023

4. J-PLUS:Uncovering a large population of extreme [OIII] emitters in the local Universe

Author: Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Jr, L. Sodré, Ramió, H. Vázquez, Varela, J., Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Jr, L. Sodré, Ramió, H. Vázquez, and Varela, J.
Abstract: Over the past decades, several studies have discovered a population of galaxies undergoing very strong star formation events, called extreme emission line galaxies (EELGs). In this work, we exploit the capabilities of the Javalambre Photometric Local Universe Survey (J-PLUS), a wide field multifilter survey, with 2000 square degrees observed. We use it to identify EELGs at low redshift by their [OIII]5007 emission line. We intend to provide with a more complete, deep, and less biased sample of local EELGs. We select objects with an excess of flux in the J-PLUS mediumband $J0515$ filter, which covers the [OIII] line at z$
Published: 2022

5. J-PLUS:Support vector machine applied to STAR-GALAXY-QSO classification

Author: Wang, C., Bai, Y., López-Sanjuan, C., Yuan, H., Wang, S., Liu, J., Sobral, D., Baqui, P.O., Martín, E.L., Andres Galarza, C., Alcaniz, J., Angulo, R.E., Cenarro, A.J., Cristóbal-Hornillos, D., Dupke, R.A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré, L., Vázquez Ramió, H., Varela, J., Wang, C., Bai, Y., López-Sanjuan, C., Yuan, H., Wang, S., Liu, J., Sobral, D., Baqui, P.O., Martín, E.L., Andres Galarza, C., Alcaniz, J., Angulo, R.E., Cenarro, A.J., Cristóbal-Hornillos, D., Dupke, R.A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré, L., Vázquez Ramió, H., and Varela, J.
Abstract: Context. In modern astronomy, machine learning has proved to be efficient and effective in mining big data from the newest telescopes. Aims. In this study, we construct a supervised machine-learning algorithm to classify the objects in the Javalambre Photometric Local Universe Survey first data release (J-PLUS DR1). Methods. The sample set is featured with 12-waveband photometry and labeled with spectrum-based catalogs, including Sloan Digital Sky Survey spectroscopic data, the Large Sky Area Multi-Object Fiber Spectroscopic Telescope, and VERONCAT a the Veron Catalog of Quasars AGN. The performance of the classifier is presented with the applications of blind test validations based on RAdial Velocity Extension, the Kepler Input Catalog, the Two Micron All Sky Survey Redshift Survey, and the UV-bright Quasar Survey. A new algorithm was applied to constrain the potential extrapolation that could decrease the performance of the machine-learning classifier. Results. The accuracies of the classifier are 96.5% in the blind test and 97.0% in training cross-validation. The F1-scores for each class are presented to show the balance between the precision and the recall of the classifier. We also discuss different methods to constrain the potential extrapolation.
Published: 2022

6. J-PLUS:Uncovering a large population of extreme [OIII] emitters in the local Universe

Author: Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Jr, L. Sodré, Ramió, H. Vázquez, Varela, J., Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Jr, L. Sodré, Ramió, H. Vázquez, and Varela, J.
Abstract: Over the past decades, several studies have discovered a population of galaxies undergoing very strong star formation events, called extreme emission line galaxies (EELGs). In this work, we exploit the capabilities of the Javalambre Photometric Local Universe Survey (J-PLUS), a wide field multifilter survey, with 2000 square degrees observed. We use it to identify EELGs at low redshift by their [OIII]5007 emission line. We intend to provide with a more complete, deep, and less biased sample of local EELGs. We select objects with an excess of flux in the J-PLUS mediumband $J0515$ filter, which covers the [OIII] line at z$
Published: 2022

7. J-PLUS : Support vector machine applied to STAR-GALAXY-QSO classification

Author: Wang, C., Bai, Y., López-Sanjuan, C., Yuan, H., Wang, S., Liu, J., Sobral, D., Baqui, P.O., Martín, E.L., Andres Galarza, C., Alcaniz, J., Angulo, R.E., Cenarro, A.J., Cristóbal-Hornillos, D., Dupke, R.A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré, L., Vázquez Ramió, H., Varela, J., Wang, C., Bai, Y., López-Sanjuan, C., Yuan, H., Wang, S., Liu, J., Sobral, D., Baqui, P.O., Martín, E.L., Andres Galarza, C., Alcaniz, J., Angulo, R.E., Cenarro, A.J., Cristóbal-Hornillos, D., Dupke, R.A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré, L., Vázquez Ramió, H., and Varela, J.
Abstract: Context. In modern astronomy, machine learning has proved to be efficient and effective in mining big data from the newest telescopes. Aims. In this study, we construct a supervised machine-learning algorithm to classify the objects in the Javalambre Photometric Local Universe Survey first data release (J-PLUS DR1). Methods. The sample set is featured with 12-waveband photometry and labeled with spectrum-based catalogs, including Sloan Digital Sky Survey spectroscopic data, the Large Sky Area Multi-Object Fiber Spectroscopic Telescope, and VERONCAT a the Veron Catalog of Quasars AGN. The performance of the classifier is presented with the applications of blind test validations based on RAdial Velocity Extension, the Kepler Input Catalog, the Two Micron All Sky Survey Redshift Survey, and the UV-bright Quasar Survey. A new algorithm was applied to constrain the potential extrapolation that could decrease the performance of the machine-learning classifier. Results. The accuracies of the classifier are 96.5% in the blind test and 97.0% in training cross-validation. The F1-scores for each class are presented to show the balance between the precision and the recall of the classifier. We also discuss different methods to constrain the potential extrapolation.
Published: 2022

8. J-PLUS : Uncovering a large population of extreme [OIII] emitters in the local Universe

Author: Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Jr, L. Sodré, Ramió, H. Vázquez, Varela, J., Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Jr, L. Sodré, Ramió, H. Vázquez, and Varela, J.
Abstract: Over the past decades, several studies have discovered a population of galaxies undergoing very strong star formation events, called extreme emission line galaxies (EELGs). In this work, we exploit the capabilities of the Javalambre Photometric Local Universe Survey (J-PLUS), a wide field multifilter survey, with 2000 square degrees observed. We use it to identify EELGs at low redshift by their [OIII]5007 emission line. We intend to provide with a more complete, deep, and less biased sample of local EELGs. We select objects with an excess of flux in the J-PLUS mediumband $J0515$ filter, which covers the [OIII] line at z$
Published: 2022

9. J-PLUS DR3: Galaxy-Star-Quasar classification

Author: von Marttens, R., Marra, V., Quartin, M., Casarini, L., Baqui, P. O., Alvarez-Candal, A., Galindo-Guil, F. J., Fernández-Ontiveros, J. A., del Pino, Andrés, Díaz-García, L. A., López-Sanjuan, C., Alcaniz, J., Angulo, R., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré, L., Varela, J., Ramió, H. Vázquez, von Marttens, R., Marra, V., Quartin, M., Casarini, L., Baqui, P. O., Alvarez-Candal, A., Galindo-Guil, F. J., Fernández-Ontiveros, J. A., del Pino, Andrés, Díaz-García, L. A., López-Sanjuan, C., Alcaniz, J., Angulo, R., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré, L., Varela, J., and Ramió, H. Vázquez
Abstract: The Javalambre Photometric Local Universe Survey (J-PLUS) is a 12-band photometric survey using the 83-cm JAST telescope. Data Release 3 includes 47.4 million sources. J-PLUS DR3 only provides star-galaxy classification so that quasars are not identified from the other sources. Given the size of the dataset, machine learning methods could provide a valid alternative classification and a solution to the classification of quasars. Our objective is to classify J-PLUS DR3 sources into galaxies, stars and quasars, outperforming the available classifiers in each class. We use an automated machine learning tool called TPOT to find an optimized pipeline to perform the classification. The supervised machine learning algorithms are trained on the crossmatch with SDSS DR18, LAMOST DR8 and Gaia. We checked that the training set of about 660 thousand galaxies, 1.2 million stars and 270 thousand quasars is both representative and contain a minimal presence of contaminants (less than 1%). We considered 37 features: the twelve photometric bands with respective errors, six colors, four morphological parameters, galactic extinction with its error and the PSF relative to the corresponding pointing. With TPOT genetic algorithm, we found that XGBoost provides the best performance: the AUC for galaxies, stars and quasars is above 0.99 and the average precision is above 0.99 for galaxies and stars and 0.96 for quasars. XGBoost outperforms the classifiers already provided in J-PLUS DR3 and also classifies quasars., Comment: 19 pages, 22 figures
Published: 2022
Full Text: View/download PDF

10. J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools II. Second data release and machine learning methodology

Author: Mas-Buitrago, P., Solano, E., González-Marcos, A., Rodrigo, C., Martín, E. L., Caballero, J. A., Jiménez-Esteban, F., Cruz, P., Ederoclite, A., Ordieres-Meré, J., Bello-García, A., Dupke, R. A., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Moles, M., Varela, J., Ramió, H. Vázquez, Alcaniz, J., Sodré Jr., L., Angulo, R. E., Mas-Buitrago, P., Solano, E., González-Marcos, A., Rodrigo, C., Martín, E. L., Caballero, J. A., Jiménez-Esteban, F., Cruz, P., Ederoclite, A., Ordieres-Meré, J., Bello-García, A., Dupke, R. A., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Moles, M., Varela, J., Ramió, H. Vázquez, Alcaniz, J., Sodré Jr., L., and Angulo, R. E.
Abstract: Ultracool dwarfs (UCDs) comprise the lowest mass members of the stellar population and brown dwarfs, from M7 V to cooler objects with L, T, and Y spectral types. Most of them have been discovered using wide-field imaging surveys, for which the Virtual Observatory (VO) has proven to be of great utility. We aim to perform a search for UCDs in the entire Javalambre Photometric Local Universe Survey (J-PLUS) second data release (2176 deg$^2$) following a VO methodology. We also explore the ability to reproduce this search with a purely machine learning (ML)-based methodology that relies solely on J-PLUS photometry. We followed three different approaches based on parallaxes, proper motions, and colours, respectively, using the VOSA tool to estimate the effective temperatures. For the ML methodology, we built a two-step method based on principal component analysis and support vector machine algorithms. We identified a total of 7827 new candidate UCDs, which represents an increase of about 135% in the number of UCDs reported in the sky coverage of the J-PLUS second data release. Among the candidate UCDs, we found 122 possible unresolved binary systems, 78 wide multiple systems, and 48 objects with a high Bayesian probability of belonging to a young association. We also identified four objects with strong excess in the filter corresponding to the Ca II H and K emission lines and four other objects with excess emission in the H$\alpha$ filter. With the ML approach, we obtained a recall score of 92% and 91% in the test and blind test, respectively. We consolidated the proposed search methodology for UCDs, which will be used in deeper and larger upcoming surveys such as J-PAS and Euclid. We concluded that the ML methodology is more efficient in the sense that it allows for a larger number of true negatives to be discarded prior to analysis with VOSA, although it is more photometrically restrictive., Comment: Accepted in A&A
Published: 2022
Full Text: View/download PDF

11. Constraining the Baryonic Feedback with Cosmic Shear Using the DES Year-3 Small-Scale Measurements

Author: Chen, A., Aricò, G., Huterer, D., Angulo, R., Weaverdyck, N., Friedrich, O., Secco, L. F., Hernández-Monteagudo, C., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Baxter, E., Bechtol, K., Becker, M. R., Bernstein, G. M., Blazek, J., Brandao-Souza, A., Bridle, S. L., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chang, C., Chen, R., Chintalapati, P., Choi, A., Cordero, J., Crocce, M., Pereira, M. E. S., Davis, C., DeRose, J., Di Valentino, E., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elsner, F., Elvin-Poole, J., Everett, S., Fang, X., Ferté, A., Fosalba, P., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Hoffmann, K., Huang, H., Huff, E. M., Jain, B., Jarvis, M., Jeffrey, N., Kacprzak, T., Krause, E., Kuropatkin, N., Leget, P. -F., Lemos, P., Liddle, A. R., MacCrann, N., McCullough, J., Muir, J., Myles, J., Navarro-Alsina, A., Omori, Y., Pandey, S., Park, Y., Porredon, A., Prat, J., Raveri, M., Refregier, A., Rollins, R. P., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Samuroff, S., Sánchez, C., Sanchez, J., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troja, A., Troxel, M. A., Tutusaus, I., Varga, T. N., Wechsler, R. H., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Aguena, M., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carretero, J., Conselice, C., Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Paz-Chinchón, F., Pieres, A., Sanchez, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Chen, A., Aricò, G., Huterer, D., Angulo, R., Weaverdyck, N., Friedrich, O., Secco, L. F., Hernández-Monteagudo, C., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Baxter, E., Bechtol, K., Becker, M. R., Bernstein, G. M., Blazek, J., Brandao-Souza, A., Bridle, S. L., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chang, C., Chen, R., Chintalapati, P., Choi, A., Cordero, J., Crocce, M., Pereira, M. E. S., Davis, C., DeRose, J., Di Valentino, E., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elsner, F., Elvin-Poole, J., Everett, S., Fang, X., Ferté, A., Fosalba, P., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Hoffmann, K., Huang, H., Huff, E. M., Jain, B., Jarvis, M., Jeffrey, N., Kacprzak, T., Krause, E., Kuropatkin, N., Leget, P. -F., Lemos, P., Liddle, A. R., MacCrann, N., McCullough, J., Muir, J., Myles, J., Navarro-Alsina, A., Omori, Y., Pandey, S., Park, Y., Porredon, A., Prat, J., Raveri, M., Refregier, A., Rollins, R. P., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Samuroff, S., Sánchez, C., Sanchez, J., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troja, A., Troxel, M. A., Tutusaus, I., Varga, T. N., Wechsler, R. H., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Aguena, M., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carretero, J., Conselice, C., Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Paz-Chinchón, F., Pieres, A., Sanchez, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., and To, C.
Abstract: We use the small scales of the Dark Energy Survey (DES) Year-3 cosmic shear measurements, which are excluded from the DES Year-3 cosmological analysis, to constrain the baryonic feedback. To model the baryonic feedback, we adopt a baryonic correction model and use the numerical package \texttt{Baccoemu} to accelerate the evaluation of the baryonic nonlinear matter power spectrum. We design our analysis pipeline to focus on the constraints of the baryonic suppression effects, utilizing the implication given by a principal component analysis on the Fisher forecasts. Our constraint on the baryonic effects can then be used to better model and ameliorate the effects of baryons in producing cosmological constraints from the next generation large-scale structure surveys. We detect the baryonic suppression on the cosmic shear measurements with a $\sim 2 \sigma$ significance. The characteristic halo mass for which half of the gas is ejected by baryonic feedback is constrained to be $M_c > 10^{13.2} h^{-1} M_{\odot}$ (95\% C.L.). The best-fit baryonic suppression is $\sim 5\%$ at $k=1.0 {\rm Mpc}\ h^{-1}$ and $\sim 15\%$ at $k=5.0 {\rm Mpc} \ h^{-1}$. Our findings are robust with respect to the assumptions about the cosmological parameters, specifics of the baryonic model, and intrinsic alignments., Comment: 20 pages, 10 figures. DES Collaboration, Year-3 analysis
Published: 2022
Full Text: View/download PDF

12. J-PLUS: Support Vector Regression to Measure Stellar Parameters

Author: Wang, Cunshi, Bai, Yu, Yuan, Haibo, Liu, Jifeng, Fernández-Ontiveros, J. A., Coelho, Paula R. T., Jiménez-Esteban, F., Galarza, Carlos Andrés, Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, Varela, J., Wang, Cunshi, Bai, Yu, Yuan, Haibo, Liu, Jifeng, Fernández-Ontiveros, J. A., Coelho, Paula R. T., Jiménez-Esteban, F., Galarza, Carlos Andrés, Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, and Varela, J.
Abstract: Context. Stellar parameters are among the most important characteristics in studies of stars, which are based on atmosphere models in traditional methods. However, time cost and brightness limits restrain the efficiency of spectral observations. The J-PLUS is an observational campaign that aims to obtain photometry in 12 bands. Owing to its characteristics, J-PLUS data have become a valuable resource for studies of stars. Machine learning provides powerful tools to efficiently analyse large data sets, such as the one from J-PLUS, and enable us to expand the research domain to stellar parameters. Aims. The main goal of this study is to construct a SVR algorithm to estimate stellar parameters of the stars in the first data release of the J-PLUS observational campaign. Methods. The training data for the parameters regressions is featured with 12-waveband photometry from J-PLUS, and is cross-identified with spectrum-based catalogs. These catalogs are from the LAMOST, the APOGEE, and the SEGUE. We then label them with the stellar effective temperature, the surface gravity and the metallicity. Ten percent of the sample is held out to apply a blind test. We develop a new method, a multi-model approach in order to fully take into account the uncertainties of both the magnitudes and stellar parameters. The method utilizes more than two hundred models to apply the uncertainty analysis. Results. We present a catalog of 2,493,424 stars with the Root Mean Square Error of 160K in the effective temperature regression, 0.35 in the surface gravity regression and 0.25 in the metallicity regression. We also discuss the advantages of this multi-model approach and compare it to other machine-learning methods., Comment: 18 pages, 10 figures, accepted by AA
Published: 2022
Full Text: View/download PDF

13. J-PLUS : The star formation main sequence and rate density at d <75 Mpc

Author: Vilella-Rojo, G., Logroño-García, R., López-Sanjuan, C., Viironen, K., Varela, J., Moles, M., Cenarro, A. J., Cristóbal-Hornillos, D., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Ramió, H. Vázquez, Galbany, L., Delgado, R. M. González, Hernán-Caballero, A., Lumbreras-Calle, A., Sánchez-Blázquez, P., Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Jr, L. Sodré, Vilella-Rojo, G., Logroño-García, R., López-Sanjuan, C., Viironen, K., Varela, J., Moles, M., Cenarro, A. J., Cristóbal-Hornillos, D., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Ramió, H. Vázquez, Galbany, L., Delgado, R. M. González, Hernán-Caballero, A., Lumbreras-Calle, A., Sánchez-Blázquez, P., Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., and Jr, L. Sodré
Abstract: Our goal is to estimate the star formation main sequence (SFMS) and the star formation rate density (SFRD) at z 8 and it is clearly defined by the blue galaxies, with the red galaxies located below them. The SFMS is described as log SFR = 0.83 log M - 8.44. We find a good agreement with previous estimations of the SFMS, especially those based on integral field spectroscopy. The Halpha luminosity function of the AGN-free sample is well described by a Schechter function with log L* = 41.34, log phi* = -2.43, and alpha = -1.25. Our measurements provide a lower characteristic luminosity than several previous studies in the literature. The derived star formation rate density at d <75 Mpc is log rho_SFR = -2.10 +- 0.11, with red galaxies accounting for 15% of the SFRD. Our value is lower than previous estimations at similar redshift, and provides a local reference for evolutionary studies regarding the star formation history of the Universe.
Published: 2021

14. The miniJPAS survey : Photometric redshift catalogue

Author: Hernán-Caballero, A., Varela, J., López-Sanjuan, C., Muniesa, D., Civera, T., Chaves-Montero, J., DÍaz-García, L.A., Laur, J., Hernández-Monteagudo, C., Abramo, R., Angulo, R., Cristóbal-Hornillos, D., González Delgado, R.M., Greisel, N., Orsi, A., Queiroz, C., Sobral, D., Tamm, A., Tempel, E., Vázquez-Ramió, H., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, J., Dupke, R., Ederoclite, A., Marín-Franch, A., Mendes De Oliveira, C., Moles, M., Sodré, L., Taylor, K., Cypriano, E.S., Martínez-Solaeche, G., Hernán-Caballero, A., Varela, J., López-Sanjuan, C., Muniesa, D., Civera, T., Chaves-Montero, J., DÍaz-García, L.A., Laur, J., Hernández-Monteagudo, C., Abramo, R., Angulo, R., Cristóbal-Hornillos, D., González Delgado, R.M., Greisel, N., Orsi, A., Queiroz, C., Sobral, D., Tamm, A., Tempel, E., Vázquez-Ramió, H., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, J., Dupke, R., Ederoclite, A., Marín-Franch, A., Mendes De Oliveira, C., Moles, M., Sodré, L., Taylor, K., Cypriano, E.S., and Martínez-Solaeche, G.
Published: 2021

15. J-PLUS: Uncovering a large population of extreme [OIII] emitters in the local Universe

Author: Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, Varela, J., Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, and Varela, J.
Abstract: Over the past decades, several studies have discovered a population of galaxies undergoing very strong star formation events, called extreme emission line galaxies (EELGs). In this work, we exploit the capabilities of the Javalambre Photometric Local Universe Survey (J-PLUS), a wide field multifilter survey, with 2000 square degrees observed. We use it to identify EELGs at low redshift by their [OIII]5007 emission line. We intend to provide with a more complete, deep, and less biased sample of local EELGs. We select objects with an excess of flux in the J-PLUS mediumband $J0515$ filter, which covers the [OIII] line at z$<$0.06. We remove contaminants (stars and higher redshift systems) using J-PLUS and WISE infrared data, with SDSS spectra as a benchmark. We perform spectral energy distribution fitting to estimate the properties of the galaxies: line fluxes, equivalent widths (EWs), masses, etc. We identify 466 EELGs at ${\rm z} < 0.06$ with [OIII] EW over 300 \text{\AA} and $r$-band mag. below 20, of which 411 were previously unknown. Most show compact morphologies, low stellar masses ($\log (M_{\star}/M_{\odot}) \sim {8.13}^{+0.61}_{-0.58}$), low dust extinction ($E(B-V)\sim{0.1}^{+0.2}_{-0.1}$), and very young bursts of star formation (${3.0}^{+2.7}_{-2.0}$ Myr). Our method is up to $\sim$ 20 times more efficient detecting EELGs per Mpc$^3$ than broadband surveys, and as complete as magnitude-limited spectroscopic surveys (and reaching fainter objects). The sample is not directly biased against strong H$\alpha$ emitters, in contrast with broadband surveys. We demonstrate the capability of J-PLUS to identify, following a clear selection process, a large sample of previously unknown EELGs showing unique properties. A fraction of them are likely similar to the first galaxies in the Universe, but at a much lower redshift, which makes them ideal targets for follow-up studies., Comment: 22 pages, 22 figures. Submitted to Astronomy & Astrophysics
Published: 2021

16. J-PLUS: Spectral evolution of white dwarfs by PDF analysis

Author: López-Sanjuan, C., Tremblay, P. -E., Ederoclite, A., Ramió, H. Vázquez, Carrasco, J. M., Varela, J., Cenarro, A. J., Marín-Franch, A., Civera, T., Daflon, S., Gänsicke, B. T., Fusillo, N. P. Gentile, Jiménez-Esteban, F. M., Alcaniz, J., Angulo, R. E., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Moles, M., Sodré Jr, L., López-Sanjuan, C., Tremblay, P. -E., Ederoclite, A., Ramió, H. Vázquez, Carrasco, J. M., Varela, J., Cenarro, A. J., Marín-Franch, A., Civera, T., Daflon, S., Gänsicke, B. T., Fusillo, N. P. Gentile, Jiménez-Esteban, F. M., Alcaniz, J., Angulo, R. E., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Moles, M., and Sodré Jr, L.
Abstract: We estimated the spectral evolution of white dwarfs with effective temperature using the Javalambre Photometric Local Universe Survey (J-PLUS) second data release (DR2), that provides twelve photometric optical passbands over 2176 deg2. We analysed 5926 white dwarfs with r <= 19.5 mag in common between a white dwarf catalog defined from Gaia EDR3 and J-PLUS DR2. We performed a Bayesian analysis by comparing the observed J-PLUS photometry with theoretical models of hydrogen (H) and helium (He) dominated atmospheres. We estimated the PDF for effective temperature (Teff), surface gravity, parallax, and spectral type; and the probability of having a H-dominated atmosphere (pH) for each source. We applied a prior in parallax, using Gaia EDR3 measurements as reference, and derived a self-consistent prior for the atmospheric composition as a function of Teff. We described the fraction of He-dominated atmosphere white dwarfs (fHe) with a linear function of Teff at 5000 < Teff < 30000 K. We found fHe = 0.24 +- 0.01 at Teff = 10000 K, a change rate along the cooling sequence of 0.14 +- 0.02 per 10 kK, and a minimum He-dominated fraction of 0.08 +- 0.02 at the high-temperature end. We tested the obtained pH by comparison with spectroscopic classifications, finding that it is reliable. We estimated the mass distribution for the 351 sources with distance d < 100 pc, mass M > 0.45 Msun, and Teff > 6000 K. The result for H-dominated white dwarfs agrees with previous work, with a dominant M = 0.59 Msun peak and the presence of an excess at M ~ 0.8 Msun. This high-mass excess is absent in the He-dominated distribution, which presents a single peak. The J-PLUS optical data provides a reliable statistical classification of white dwarfs into H- and He-dominated atmospheres. We find a 21 +- 3 % increase in the fraction of He-dominated white dwarfs from Teff = 20000 K to Teff = 5000 K., Comment: Published in Astronomy and Astrophysics. 18 pages, 15 figures, 4 tables
Published: 2021
Full Text: View/download PDF

17. J-PLUS: Detecting and studying extragalactic globular clusters -- the case of NGC 1023

Author: Brito-Silva, D., Coelho, P., Cortesi, A., Bruzual, G., C., G. Magris, Chies-Santos, A. L., Ederoclite, A., Hernandez-Jimenez, J. A., Roman, I. San, Varela, J., Forbes, D. A., Cenarro, J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Moles, M., Vázquez-Ramió, H., Alcaniz, J., Dupke, R., Sodré Jr., L., Angulo, R. E., Brito-Silva, D., Coelho, P., Cortesi, A., Bruzual, G., C., G. Magris, Chies-Santos, A. L., Ederoclite, A., Hernandez-Jimenez, J. A., Roman, I. San, Varela, J., Forbes, D. A., Cenarro, J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Moles, M., Vázquez-Ramió, H., Alcaniz, J., Dupke, R., Sodré Jr., L., and Angulo, R. E.
Abstract: Extragalactic globular clusters (GCs) are key objects for studying the formation and evolution of galaxies. The arrival of wide-field surveys such as the Javalambre Photometric Local Universe Survey (J-PLUS) offers new possibilities for the study of GCs. Nevertheless, GCs are not detected a priori by the data reduction pipeline of J-PLUS and, due to its pixel scale, the standard techniques of GCs detection are challenged. To fill this gap, we develop a semi-automatic pipeline to detect GCs in J-PLUS that can also be adapted to similar surveys. As a case study, we use data from the S0 galaxy NGC 1023 and we also study the stellar population content of GC candidates in the galaxy. To detect GCs, our methodology is based on Source Extractor and does not require a previous filtering or modelling of the host galaxy. We study colors and perform spectral energy distribution (SED) analysis on our final GC candidate catalog to obtain stellar population parameters. In NGC 1023, GCFinder identifies 523 GC candidates. We observe evidence of color bimodality in a few broad-band colors but not on narrow-band colors. The SED analysis reveals a clear metallicity bimodality and we observe that narrow-band filters are very useful to constrain metallicities. We also identified a broad age-metallicity relation as well as a wide metallicity distribution that are evidence that NGC 1023 experienced accretion events in the past. It is the first time this kind of study is performed with J-PLUS data. By detecting GC candidates in wide-field images without modeling the light of the galaxy, GCFinder becomes considerably faster, at a marginal loss of centrally-located GC candidates of about 7 percent. As GCFinder is entirely based on Source Extractor, it could be easily incorporated into automated software handling wide-field surveys., Comment: 21 pages, 19 figures, submitted to A&A
Published: 2021

18. The miniJPAS survey: the photometric redshift catalogue

Author: Hernán-Caballero, A., Varela, J., López-Sanjuan, C., Muniesa, D., Civera, T., Chaves-Montero, J., Díaz-García, L. A., Laur, J., Hernández-Monteagudo, C., Abramo, R., Angulo, R., Cristóbal-Hornillos, D., González-Delgado, R. M., Greisel, N., Orsi, A., Queiroz, C., Sobral, D., Tamm, A., Tempel, E., Vázquez-Ramió, H., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, J., Dupke, R., Ederoclite, A., Marín-Frach, A., de Oliveira, C. Mendes, Moles, M., Sodr, L., Taylor, K., Cypriano, E. S., Hernán-Caballero, A., Varela, J., López-Sanjuan, C., Muniesa, D., Civera, T., Chaves-Montero, J., Díaz-García, L. A., Laur, J., Hernández-Monteagudo, C., Abramo, R., Angulo, R., Cristóbal-Hornillos, D., González-Delgado, R. M., Greisel, N., Orsi, A., Queiroz, C., Sobral, D., Tamm, A., Tempel, E., Vázquez-Ramió, H., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, J., Dupke, R., Ederoclite, A., Marín-Frach, A., de Oliveira, C. Mendes, Moles, M., Sodr, L., Taylor, K., and Cypriano, E. S.
Abstract: MiniJPAS is a ~1 deg^2 imaging survey of the AEGIS field in 60 bands, performed to demonstrate the scientific potential of the upcoming JPAS survey. Full coverage of the 3800-9100 \AA range with 54 narrow and 6 broad optical filters allow for extremely accurate photo-z, which applied over 1000s of deg^2 will enable new applications of the photo-z technique such as measurement of baryonic acoustic oscillations. In this paper we describe the method used to obtain the photo-z included in the publicly available miniJPAS catalogue, and characterise the photo-z performance. We build 100 \AA resolution photo-spectra from the PSF-corrected forced-aperture photometry. Systematic offsets in the photometry are corrected by applying magnitude shifts obtained through iterative fitting with stellar population synthesis models. We compute photo-z with a customised version of LePhare, using a set of templates optimised for the J-PAS filter-set. We analyse the accuracy of miniJPAS photo-z and their dependence on multiple quantities using a subsample of 5,266 galaxies with spectroscopic redshifts from SDSS and DEEP, that we find to be representative of the whole r<23 miniJPAS sample. Formal uncertainties for the photo-z that are calculated with the \delta\chi^2 method underestimate the actual redshift errors. The odds parameter has the stronger correlation with |Dz|, and accurately reproduces the probability of a redshift outlier (|Dz|>0.03) irrespective of the magnitude, redshift, or spectral type of the sources. We show that the two main summary statistics characterising the photo-z accuracy for a population of galaxies (snmad and \eta) can be predicted by the distribution of odds in such population, and use this to estimate them for the whole miniJPAS sample. At r<23 there are 17,500 galaxies/deg^2 with valid photo-z estimates, of which 4,200 are expected to have |Dz|<0.003 (abridged)., Comment: 25 pages, 32 figures, 5 tables, accepted for publication in A&A
Published: 2021
Full Text: View/download PDF

19. J-PLUS: Support Vector Machine Applied to STAR-GALAXY-QSOClassification

Author: Wang, Cunshi, Bai, Yu, López-Sanjuan, C., Yuan, Haibo, Wang, Song, Liu, Jifeng, Sobral, David, Baqui, P. O., Martín, E. L., Galarza, Carlos Andres, Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, Varela, J., Wang, Cunshi, Bai, Yu, López-Sanjuan, C., Yuan, Haibo, Wang, Song, Liu, Jifeng, Sobral, David, Baqui, P. O., Martín, E. L., Galarza, Carlos Andres, Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, and Varela, J.
Abstract: Context. In modern astronomy, machine learning has proved to be efficient and effective to mine the big data from the newesttelescopes. Spectral surveys enable us to characterize millions of objects, while long exposure time observations and wide surveysconstrain their strides from millions to billions. Aims.In this study, we construct a supervised machine learning algorithm, to classify the objects in the Javalambre Photometric LocalUniverse Survey first data release (J-PLUS DR1). Methods.The sample set is featured with 12-waveband photometry, and magnitudes are labeled with spectrum-based catalogs, in-cluding Sloan Digital Sky Survey spectroscopic data, Large Sky Area Multi-Object Fiber Spectroscopic Telescope, and VERONCAT- Veron Catalog of Quasars & AGN. The performance of the classifier is presented with applications of blind test validations basedon RAdial Velocity Extension, Kepler Input Catalog, 2 MASS Redshift Survey, and the UV-bright Quasar Survey. A new algorithmis applied to constrain the extrapolation that could decrease accuracies for many machine learning classifiers. Results.The accuracies of the classifier are 96.5% in blind test and 97.0% in training cross validation. The F1-scores for each classare presented to show the precision of the classifier. We also discuss different methods to constrain the po, Comment: 26 pages,28 figures, accepted by A&A
Published: 2021
Full Text: View/download PDF

20. $Euclid$ preparation: XV. Forecasting cosmological constraints for the $Euclid$ and CMB joint analysis

Author: Euclid Collaboration, Ilić, S., Aghanim, N., Baccigalupi, C., Bermejo-Climent, J. R., Fabbian, G., Legrand, L., Paoletti, D., Ballardini, M., Archidiacono, M., Douspis, M., Finelli, F., Ganga, K., Hernández-Monteagudo, C., Lattanzi, M., Marinucci, D., Migliaccio, M., Carbone, C., Casas, S., Martinelli, M., Tutusaus, I., Natoli, P., Ntelis, P., Pagano, L., Wenzl, L., Gruppuso, A., Kitching, T., Langer, M., Mauri, N., Patrizii, L., Renzi, A., Sirri, G., Stanco, L., Tenti, M., Vielzeuf, P., Lacasa, F., Polenta, G., Yankelevich, V., Blanchard, A., Sakr, Z., Pourtsidou, A., Camera, S., Cardone, V. F., Kilbinger, M., Kunz, M., Markovic, K., Pettorino, V., Sánchez, A. G., Sapone, D., Amara, A., Auricchio, N., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Costille, A., Cropper, M., Da Silva, A., Degaudenzi, H., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farrens, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Fumana, M., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Guzzo, L., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Hudelot, P., Jahnke, K., Kermiche, S., Kiessling, A., Kohley, R., Kubik, B., Kümmel, M., Kurki-Suonio, H., Laureijs, R., Ligori, S., Lilje, P. B., Lloro, I., Mansutti, O., Marggraf, O., Marulli, F., Massey, R., Maurogordato, S., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W., Pires, S., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rebolo, R., Rhodes, J., Roncarelli, M., Rossetti, E., Saglia, R., Scaramella, R., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Starck, J. L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Kleijn, G. A. Verdoes, Wang, Y., Welikala, N., Weller, J., Zamorani, G., Zoubian, J., Medinaceli, E., Mei, S., Rosset, C., Sureau, F., Vassallo, T., Zacchei, A., Andreon, S., Balaguera-Antolínez, A., Baldi, M., Bardelli, S., Biviano, A., Borgani, S., Bozzo, E., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Castignani, G., Colodro-Conde, C., Coupon, J., Courtois, H. M., Cuby, J., de la Torre, S., Di Ferdinando, D., Dole, H., Farina, M., Ferreira, P. G., Flose-Reimberg, P., Galeotta, S., Gozaliasl, G., Graciá-Carpio, J., Keihanen, E., Kirkpatrick, C. C., Lindholm, V., Mainetti, G., Maino, D., Martinet, N., Maturi, M., Metcalf, R. B., Morgante, G., Neissner, C., Nightingale, J., Nucita, A. A., Potter, D., Riccio, G., Romelli, E., Schirmer, M., Schultheis, M., Scottez, V., Teyssier, R., Tramacere, A., Valiviita, J., Viel, M., Whittaker, L., Zucca, E., Euclid Collaboration, Ilić, S., Aghanim, N., Baccigalupi, C., Bermejo-Climent, J. R., Fabbian, G., Legrand, L., Paoletti, D., Ballardini, M., Archidiacono, M., Douspis, M., Finelli, F., Ganga, K., Hernández-Monteagudo, C., Lattanzi, M., Marinucci, D., Migliaccio, M., Carbone, C., Casas, S., Martinelli, M., Tutusaus, I., Natoli, P., Ntelis, P., Pagano, L., Wenzl, L., Gruppuso, A., Kitching, T., Langer, M., Mauri, N., Patrizii, L., Renzi, A., Sirri, G., Stanco, L., Tenti, M., Vielzeuf, P., Lacasa, F., Polenta, G., Yankelevich, V., Blanchard, A., Sakr, Z., Pourtsidou, A., Camera, S., Cardone, V. F., Kilbinger, M., Kunz, M., Markovic, K., Pettorino, V., Sánchez, A. G., Sapone, D., Amara, A., Auricchio, N., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Costille, A., Cropper, M., Da Silva, A., Degaudenzi, H., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farrens, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Fumana, M., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Guzzo, L., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Hudelot, P., Jahnke, K., Kermiche, S., Kiessling, A., Kohley, R., Kubik, B., Kümmel, M., Kurki-Suonio, H., Laureijs, R., Ligori, S., Lilje, P. B., Lloro, I., Mansutti, O., Marggraf, O., Marulli, F., Massey, R., Maurogordato, S., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W., Pires, S., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rebolo, R., Rhodes, J., Roncarelli, M., Rossetti, E., Saglia, R., Scaramella, R., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Starck, J. L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Kleijn, G. A. Verdoes, Wang, Y., Welikala, N., Weller, J., Zamorani, G., Zoubian, J., Medinaceli, E., Mei, S., Rosset, C., Sureau, F., Vassallo, T., Zacchei, A., Andreon, S., Balaguera-Antolínez, A., Baldi, M., Bardelli, S., Biviano, A., Borgani, S., Bozzo, E., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Castignani, G., Colodro-Conde, C., Coupon, J., Courtois, H. M., Cuby, J., de la Torre, S., Di Ferdinando, D., Dole, H., Farina, M., Ferreira, P. G., Flose-Reimberg, P., Galeotta, S., Gozaliasl, G., Graciá-Carpio, J., Keihanen, E., Kirkpatrick, C. C., Lindholm, V., Mainetti, G., Maino, D., Martinet, N., Maturi, M., Metcalf, R. B., Morgante, G., Neissner, C., Nightingale, J., Nucita, A. A., Potter, D., Riccio, G., Romelli, E., Schirmer, M., Schultheis, M., Scottez, V., Teyssier, R., Tramacere, A., Valiviita, J., Viel, M., Whittaker, L., and Zucca, E.
Abstract: The combination and cross-correlation of the upcoming $Euclid$ data with cosmic microwave background (CMB) measurements is a source of great expectation since it will provide the largest lever arm of epochs, ranging from recombination to structure formation across the entire past light cone. In this work, we present forecasts for the joint analysis of $Euclid$ and CMB data on the cosmological parameters of the standard cosmological model and some of its extensions. This work expands and complements the recently published forecasts based on $Euclid$-specific probes, namely galaxy clustering, weak lensing, and their cross-correlation. With some assumptions on the specifications of current and future CMB experiments, the predicted constraints are obtained from both a standard Fisher formalism and a posterior-fitting approach based on actual CMB data. Compared to a $Euclid$-only analysis, the addition of CMB data leads to a substantial impact on constraints for all cosmological parameters of the standard $\Lambda$-cold-dark-matter model, with improvements reaching up to a factor of ten. For the parameters of extended models, which include a redshift-dependent dark energy equation of state, non-zero curvature, and a phenomenological modification of gravity, improvements can be of the order of two to three, reaching higher than ten in some cases. The results highlight the crucial importance for cosmological constraints of the combination and cross-correlation of $Euclid$ probes with CMB data., Comment: 20 pages, 8 figures, 5 tables, 1 appendix; updated to match version accepted by journal
Published: 2021
Full Text: View/download PDF

21. Microwave spectro-polarimetry of matter and radiation across space and time

Author: Delabrouille, J, Delabrouille, J, Abitbol, MH, Aghanim, N, Ali-Haïmoud, Y, Alonso, D, Alvarez, M, Banday, AJ, Bartlett, JG, Baselmans, J, Basu, K, Battaglia, N, Climent, JRB, Bernal, JL, Béthermin, M, Bolliet, B, Bonato, M, Bouchet, FR, Breysse, PC, Burigana, C, Cai, ZY, Chluba, J, Churazov, E, Dannerbauer, H, De Bernardis, P, De Zotti, G, Di Valentino, E, Dimastrogiovanni, E, Endo, A, Erler, J, Ferraro, S, Finelli, F, Fixsen, D, Hanany, S, Hart, L, Hernández-Monteagudo, C, Hill, JC, Hotinli, SC, Karatsu, K, Karkare, K, Keating, GK, Khabibullin, I, Kogut, A, Kohri, K, Kovetz, ED, Lagache, G, Lesgourgues, J, Madhavacheril, M, Maffei, B, Mandolesi, N, Martins, C, Masi, S, Mather, J, Melin, JB, Dizgah, AM, Mroczkowski, T, Mukherjee, S, Nagai, D, Negrello, M, Palanque-Delabrouille, N, Paoletti, D, Patil, SP, Piacentini, F, Raghunathan, S, Ravenni, A, Remazeilles, M, Revéret, V, Rodriguez, L, Rotti, A, Martin, JAR, Sayers, J, Scott, D, Silk, J, Silva, M, Souradeep, T, Sugiyama, N, Sunyaev, R, Switzer, ER, Tartari, A, Trombetti, T, Zubeldia, Í, Delabrouille, J, Delabrouille, J, Abitbol, MH, Aghanim, N, Ali-Haïmoud, Y, Alonso, D, Alvarez, M, Banday, AJ, Bartlett, JG, Baselmans, J, Basu, K, Battaglia, N, Climent, JRB, Bernal, JL, Béthermin, M, Bolliet, B, Bonato, M, Bouchet, FR, Breysse, PC, Burigana, C, Cai, ZY, Chluba, J, Churazov, E, Dannerbauer, H, De Bernardis, P, De Zotti, G, Di Valentino, E, Dimastrogiovanni, E, Endo, A, Erler, J, Ferraro, S, Finelli, F, Fixsen, D, Hanany, S, Hart, L, Hernández-Monteagudo, C, Hill, JC, Hotinli, SC, Karatsu, K, Karkare, K, Keating, GK, Khabibullin, I, Kogut, A, Kohri, K, Kovetz, ED, Lagache, G, Lesgourgues, J, Madhavacheril, M, Maffei, B, Mandolesi, N, Martins, C, Masi, S, Mather, J, Melin, JB, Dizgah, AM, Mroczkowski, T, Mukherjee, S, Nagai, D, Negrello, M, Palanque-Delabrouille, N, Paoletti, D, Patil, SP, Piacentini, F, Raghunathan, S, Ravenni, A, Remazeilles, M, Revéret, V, Rodriguez, L, Rotti, A, Martin, JAR, Sayers, J, Scott, D, Silk, J, Silva, M, Souradeep, T, Sugiyama, N, Sunyaev, R, Switzer, ER, Tartari, A, Trombetti, T, and Zubeldia, Í
Abstract: This paper discusses the science case for a sensitive spectro-polarimetric survey of the microwave sky. Such a survey would provide a tomographic and dynamic census of the three-dimensional distribution of hot gas, velocity flows, early metals, dust, and mass distribution in the entire Hubble volume, exploit CMB temperature and polarisation anisotropies down to fundamental limits, and track energy injection and absorption into the radiation background across cosmic times by measuring spectral distortions of the CMB blackbody emission. In addition to its exceptional capability for cosmology and fundamental physics, such a survey would provide an unprecedented view of microwave emissions at sub-arcminute to few-arcminute angular resolution in hundreds of frequency channels, a data set that would be of immense legacy value for many branches of astrophysics. We propose that this survey be carried out with a large space mission featuring a broad-band polarised imager and a moderate resolution spectro-imager at the focus of a 3.5 m aperture telescope actively cooled to about 8K, complemented with absolutely-calibrated Fourier Transform Spectrometer modules observing at degree-scale angular resolution in the 10–2000 GHz frequency range. We propose two observing modes: a survey mode to map the entire sky as well as a few selected wide fields, and an observatory mode for deeper observations of regions of specific interest.
Published: 2021

22. J-PLUS:The star formation main sequence and rate density at d <75 Mpc

Author: Vilella-Rojo, G., Logroño-García, R., López-Sanjuan, C., Viironen, K., Varela, J., Moles, M., Cenarro, A. J., Cristóbal-Hornillos, D., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Ramió, H. Vázquez, Galbany, L., Delgado, R. M. González, Hernán-Caballero, A., Lumbreras-Calle, A., Sánchez-Blázquez, P., Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Jr, L. Sodré, Vilella-Rojo, G., Logroño-García, R., López-Sanjuan, C., Viironen, K., Varela, J., Moles, M., Cenarro, A. J., Cristóbal-Hornillos, D., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Ramió, H. Vázquez, Galbany, L., Delgado, R. M. González, Hernán-Caballero, A., Lumbreras-Calle, A., Sánchez-Blázquez, P., Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., and Jr, L. Sodré
Abstract: Our goal is to estimate the star formation main sequence (SFMS) and the star formation rate density (SFRD) at z 8 and it is clearly defined by the blue galaxies, with the red galaxies located below them. The SFMS is described as log SFR = 0.83 log M - 8.44. We find a good agreement with previous estimations of the SFMS, especially those based on integral field spectroscopy. The Halpha luminosity function of the AGN-free sample is well described by a Schechter function with log L* = 41.34, log phi* = -2.43, and alpha = -1.25. Our measurements provide a lower characteristic luminosity than several previous studies in the literature. The derived star formation rate density at d <75 Mpc is log rho_SFR = -2.10 +- 0.11, with red galaxies accounting for 15% of the SFRD. Our value is lower than previous estimations at similar redshift, and provides a local reference for evolutionary studies regarding the star formation history of the Universe.
Published: 2021

23. Microwave spectro-polarimetry of matter and radiation across space and time

Author: Delabrouille, J, Delabrouille, J, Abitbol, MH, Aghanim, N, Ali-Haïmoud, Y, Alonso, D, Alvarez, M, Banday, AJ, Bartlett, JG, Baselmans, J, Basu, K, Battaglia, N, Climent, JRB, Bernal, JL, Béthermin, M, Bolliet, B, Bonato, M, Bouchet, FR, Breysse, PC, Burigana, C, Cai, ZY, Chluba, J, Churazov, E, Dannerbauer, H, De Bernardis, P, De Zotti, G, Di Valentino, E, Dimastrogiovanni, E, Endo, A, Erler, J, Ferraro, S, Finelli, F, Fixsen, D, Hanany, S, Hart, L, Hernández-Monteagudo, C, Hill, JC, Hotinli, SC, Karatsu, K, Karkare, K, Keating, GK, Khabibullin, I, Kogut, A, Kohri, K, Kovetz, ED, Lagache, G, Lesgourgues, J, Madhavacheril, M, Maffei, B, Mandolesi, N, Martins, C, Masi, S, Mather, J, Melin, JB, Dizgah, AM, Mroczkowski, T, Mukherjee, S, Nagai, D, Negrello, M, Palanque-Delabrouille, N, Paoletti, D, Patil, SP, Piacentini, F, Raghunathan, S, Ravenni, A, Remazeilles, M, Revéret, V, Rodriguez, L, Rotti, A, Martin, JAR, Sayers, J, Scott, D, Silk, J, Silva, M, Souradeep, T, Sugiyama, N, Sunyaev, R, Switzer, ER, Tartari, A, Trombetti, T, Zubeldia, Í, Delabrouille, J, Delabrouille, J, Abitbol, MH, Aghanim, N, Ali-Haïmoud, Y, Alonso, D, Alvarez, M, Banday, AJ, Bartlett, JG, Baselmans, J, Basu, K, Battaglia, N, Climent, JRB, Bernal, JL, Béthermin, M, Bolliet, B, Bonato, M, Bouchet, FR, Breysse, PC, Burigana, C, Cai, ZY, Chluba, J, Churazov, E, Dannerbauer, H, De Bernardis, P, De Zotti, G, Di Valentino, E, Dimastrogiovanni, E, Endo, A, Erler, J, Ferraro, S, Finelli, F, Fixsen, D, Hanany, S, Hart, L, Hernández-Monteagudo, C, Hill, JC, Hotinli, SC, Karatsu, K, Karkare, K, Keating, GK, Khabibullin, I, Kogut, A, Kohri, K, Kovetz, ED, Lagache, G, Lesgourgues, J, Madhavacheril, M, Maffei, B, Mandolesi, N, Martins, C, Masi, S, Mather, J, Melin, JB, Dizgah, AM, Mroczkowski, T, Mukherjee, S, Nagai, D, Negrello, M, Palanque-Delabrouille, N, Paoletti, D, Patil, SP, Piacentini, F, Raghunathan, S, Ravenni, A, Remazeilles, M, Revéret, V, Rodriguez, L, Rotti, A, Martin, JAR, Sayers, J, Scott, D, Silk, J, Silva, M, Souradeep, T, Sugiyama, N, Sunyaev, R, Switzer, ER, Tartari, A, Trombetti, T, and Zubeldia, Í
Abstract: This paper discusses the science case for a sensitive spectro-polarimetric survey of the microwave sky. Such a survey would provide a tomographic and dynamic census of the three-dimensional distribution of hot gas, velocity flows, early metals, dust, and mass distribution in the entire Hubble volume, exploit CMB temperature and polarisation anisotropies down to fundamental limits, and track energy injection and absorption into the radiation background across cosmic times by measuring spectral distortions of the CMB blackbody emission. In addition to its exceptional capability for cosmology and fundamental physics, such a survey would provide an unprecedented view of microwave emissions at sub-arcminute to few-arcminute angular resolution in hundreds of frequency channels, a data set that would be of immense legacy value for many branches of astrophysics. We propose that this survey be carried out with a large space mission featuring a broad-band polarised imager and a moderate resolution spectro-imager at the focus of a 3.5 m aperture telescope actively cooled to about 8K, complemented with absolutely-calibrated Fourier Transform Spectrometer modules observing at degree-scale angular resolution in the 10–2000 GHz frequency range. We propose two observing modes: a survey mode to map the entire sky as well as a few selected wide fields, and an observatory mode for deeper observations of regions of specific interest.
Published: 2021

24. The miniJPAS survey:star-galaxy classification using machine learning

Author: Baqui, P. O., Marra, V., Casarini, L., Angulo, R., Díaz-García, L. A., Hernández-Monteagudo, C., Lopes, P. A. A., López-Sanjuan, C., Muniesa, D., Placco, V. M., Quartin, M., Queiroz, C., Sobral, D., Solano, E., Tempel, E., Varela, J., Vílchez, J. M., Abramo, R., Alcaniz, J., Benitez, N., Bonoli, S., Carneiro, S., Cenarro, J., Cristóbal-Hornillos, D., Amorim, A. L. de, Oliveira, C. M. de, Dupke, R., Ederoclite, A., Delgado, R. M. González, Marín-Franch, A., Moles, M., Ramió, H. Vázquez, Sodré, L., Baqui, P. O., Marra, V., Casarini, L., Angulo, R., Díaz-García, L. A., Hernández-Monteagudo, C., Lopes, P. A. A., López-Sanjuan, C., Muniesa, D., Placco, V. M., Quartin, M., Queiroz, C., Sobral, D., Solano, E., Tempel, E., Varela, J., Vílchez, J. M., Abramo, R., Alcaniz, J., Benitez, N., Bonoli, S., Carneiro, S., Cenarro, J., Cristóbal-Hornillos, D., Amorim, A. L. de, Oliveira, C. M. de, Dupke, R., Ederoclite, A., Delgado, R. M. González, Marín-Franch, A., Moles, M., Ramió, H. Vázquez, and Sodré, L.
Abstract: Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work, we analyze the miniJPAS survey, which observed about 1 deg2 of the AEGIS field with 56 narrow-band filters and 4 ugri broad-band filters. We discuss the classification of miniJPAS sources into extended (galaxies) and point-like (e.g. stars) objects, a necessary step for the subsequent scientific analyses. We aim at developing an ML classifier that is complementary to traditional tools based on explicit modeling. In order to train and test our classifiers, we crossmatched the miniJPAS dataset with SDSS and HSC-SSP data. We trained and tested 6 different ML algorithms on the two crossmatched catalogs. As input for the ML algorithms we use the magnitudes from the 60 filters together with their errors, with and without the morphological parameters. We also use the mean PSF in the r detection band for each pointing. We find that the RF and ERT algorithms perform best in all scenarios. When analyzing the full magnitude range of 1521). We use our best classifiers, with and without morphology, in order to produce a value added catalog available at https://j-pas.org/datareleases .
Published: 2021

25. The miniJPAS survey : star-galaxy classification using machine learning

Author: Baqui, P. O., Marra, V., Casarini, L., Angulo, R., Díaz-García, L. A., Hernández-Monteagudo, C., Lopes, P. A. A., López-Sanjuan, C., Muniesa, D., Placco, V. M., Quartin, M., Queiroz, C., Sobral, D., Solano, E., Tempel, E., Varela, J., Vílchez, J. M., Abramo, R., Alcaniz, J., Benitez, N., Bonoli, S., Carneiro, S., Cenarro, J., Cristóbal-Hornillos, D., Amorim, A. L. de, Oliveira, C. M. de, Dupke, R., Ederoclite, A., Delgado, R. M. González, Marín-Franch, A., Moles, M., Ramió, H. Vázquez, Sodré, L., Baqui, P. O., Marra, V., Casarini, L., Angulo, R., Díaz-García, L. A., Hernández-Monteagudo, C., Lopes, P. A. A., López-Sanjuan, C., Muniesa, D., Placco, V. M., Quartin, M., Queiroz, C., Sobral, D., Solano, E., Tempel, E., Varela, J., Vílchez, J. M., Abramo, R., Alcaniz, J., Benitez, N., Bonoli, S., Carneiro, S., Cenarro, J., Cristóbal-Hornillos, D., Amorim, A. L. de, Oliveira, C. M. de, Dupke, R., Ederoclite, A., Delgado, R. M. González, Marín-Franch, A., Moles, M., Ramió, H. Vázquez, and Sodré, L.
Abstract: Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work, we analyze the miniJPAS survey, which observed about 1 deg2 of the AEGIS field with 56 narrow-band filters and 4 ugri broad-band filters. We discuss the classification of miniJPAS sources into extended (galaxies) and point-like (e.g. stars) objects, a necessary step for the subsequent scientific analyses. We aim at developing an ML classifier that is complementary to traditional tools based on explicit modeling. In order to train and test our classifiers, we crossmatched the miniJPAS dataset with SDSS and HSC-SSP data. We trained and tested 6 different ML algorithms on the two crossmatched catalogs. As input for the ML algorithms we use the magnitudes from the 60 filters together with their errors, with and without the morphological parameters. We also use the mean PSF in the r detection band for each pointing. We find that the RF and ERT algorithms perform best in all scenarios. When analyzing the full magnitude range of 1521). We use our best classifiers, with and without morphology, in order to produce a value added catalog available at https://j-pas.org/datareleases .
Published: 2021

26. J-PLUS: Uncovering a large population of extreme [OIII] emitters in the local Universe

Author: Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, Varela, J., Lumbreras-Calle, A., López-Sanjuan, C., Sobral, D., Fernández-Ontiveros, J. A., Vílchez, J. M., Hernán-Caballero, A., Akhlaghi, M., Díaz-García, L. A., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, and Varela, J.
Abstract: Over the past decades, several studies have discovered a population of galaxies undergoing very strong star formation events, called extreme emission line galaxies (EELGs). In this work, we exploit the capabilities of the Javalambre Photometric Local Universe Survey (J-PLUS), a wide field multifilter survey, with 2000 square degrees observed. We use it to identify EELGs at low redshift by their [OIII]5007 emission line. We intend to provide with a more complete, deep, and less biased sample of local EELGs. We select objects with an excess of flux in the J-PLUS mediumband $J0515$ filter, which covers the [OIII] line at z$<$0.06. We remove contaminants (stars and higher redshift systems) using J-PLUS and WISE infrared data, with SDSS spectra as a benchmark. We perform spectral energy distribution fitting to estimate the properties of the galaxies: line fluxes, equivalent widths (EWs), masses, etc. We identify 466 EELGs at ${\rm z} < 0.06$ with [OIII] EW over 300 \text{\AA} and $r$-band mag. below 20, of which 411 were previously unknown. Most show compact morphologies, low stellar masses ($\log (M_{\star}/M_{\odot}) \sim {8.13}^{+0.61}_{-0.58}$), low dust extinction ($E(B-V)\sim{0.1}^{+0.2}_{-0.1}$), and very young bursts of star formation (${3.0}^{+2.7}_{-2.0}$ Myr). Our method is up to $\sim$ 20 times more efficient detecting EELGs per Mpc$^3$ than broadband surveys, and as complete as magnitude-limited spectroscopic surveys (and reaching fainter objects). The sample is not directly biased against strong H$\alpha$ emitters, in contrast with broadband surveys. We demonstrate the capability of J-PLUS to identify, following a clear selection process, a large sample of previously unknown EELGs showing unique properties. A fraction of them are likely similar to the first galaxies in the Universe, but at a much lower redshift, which makes them ideal targets for follow-up studies., Comment: 22 pages, 22 figures. Submitted to Astronomy & Astrophysics
Published: 2021
Full Text: View/download PDF

27. J-PLUS: Spectral evolution of white dwarfs by PDF analysis

Author: López-Sanjuan, C., Tremblay, P. -E., Ederoclite, A., Ramió, H. Vázquez, Carrasco, J. M., Varela, J., Cenarro, A. J., Marín-Franch, A., Civera, T., Daflon, S., Gänsicke, B. T., Fusillo, N. P. Gentile, Jiménez-Esteban, F. M., Alcaniz, J., Angulo, R. E., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Moles, M., Sodré Jr, L., López-Sanjuan, C., Tremblay, P. -E., Ederoclite, A., Ramió, H. Vázquez, Carrasco, J. M., Varela, J., Cenarro, A. J., Marín-Franch, A., Civera, T., Daflon, S., Gänsicke, B. T., Fusillo, N. P. Gentile, Jiménez-Esteban, F. M., Alcaniz, J., Angulo, R. E., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Moles, M., and Sodré Jr, L.
Abstract: We estimated the spectral evolution of white dwarfs with effective temperature using the Javalambre Photometric Local Universe Survey (J-PLUS) second data release (DR2), that provides twelve photometric optical passbands over 2176 deg2. We analysed 5926 white dwarfs with r <= 19.5 mag in common between a white dwarf catalog defined from Gaia EDR3 and J-PLUS DR2. We performed a Bayesian analysis by comparing the observed J-PLUS photometry with theoretical models of hydrogen (H) and helium (He) dominated atmospheres. We estimated the PDF for effective temperature (Teff), surface gravity, parallax, and spectral type; and the probability of having a H-dominated atmosphere (pH) for each source. We applied a prior in parallax, using Gaia EDR3 measurements as reference, and derived a self-consistent prior for the atmospheric composition as a function of Teff. We described the fraction of He-dominated atmosphere white dwarfs (fHe) with a linear function of Teff at 5000 < Teff < 30000 K. We found fHe = 0.24 +- 0.01 at Teff = 10000 K, a change rate along the cooling sequence of 0.14 +- 0.02 per 10 kK, and a minimum He-dominated fraction of 0.08 +- 0.02 at the high-temperature end. We tested the obtained pH by comparison with spectroscopic classifications, finding that it is reliable. We estimated the mass distribution for the 351 sources with distance d < 100 pc, mass M > 0.45 Msun, and Teff > 6000 K. The result for H-dominated white dwarfs agrees with previous work, with a dominant M = 0.59 Msun peak and the presence of an excess at M ~ 0.8 Msun. This high-mass excess is absent in the He-dominated distribution, which presents a single peak. The J-PLUS optical data provides a reliable statistical classification of white dwarfs into H- and He-dominated atmospheres. We find a 21 +- 3 % increase in the fraction of He-dominated white dwarfs from Teff = 20000 K to Teff = 5000 K., Comment: Published in Astronomy and Astrophysics. 18 pages, 15 figures, 4 tables
Published: 2021
Full Text: View/download PDF

28. The miniJPAS survey: the photometric redshift catalogue

Author: Hernán-Caballero, A., Varela, J., López-Sanjuan, C., Muniesa, D., Civera, T., Chaves-Montero, J., Díaz-García, L. A., Laur, J., Hernández-Monteagudo, C., Abramo, R., Angulo, R., Cristóbal-Hornillos, D., González-Delgado, R. M., Greisel, N., Orsi, A., Queiroz, C., Sobral, D., Tamm, A., Tempel, E., Vázquez-Ramió, H., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, J., Dupke, R., Ederoclite, A., Marín-Frach, A., de Oliveira, C. Mendes, Moles, M., Sodr, L., Taylor, K., Cypriano, E. S., Hernán-Caballero, A., Varela, J., López-Sanjuan, C., Muniesa, D., Civera, T., Chaves-Montero, J., Díaz-García, L. A., Laur, J., Hernández-Monteagudo, C., Abramo, R., Angulo, R., Cristóbal-Hornillos, D., González-Delgado, R. M., Greisel, N., Orsi, A., Queiroz, C., Sobral, D., Tamm, A., Tempel, E., Vázquez-Ramió, H., Alcaniz, J., Benítez, N., Bonoli, S., Carneiro, S., Cenarro, J., Dupke, R., Ederoclite, A., Marín-Frach, A., de Oliveira, C. Mendes, Moles, M., Sodr, L., Taylor, K., and Cypriano, E. S.
Abstract: MiniJPAS is a ~1 deg^2 imaging survey of the AEGIS field in 60 bands, performed to demonstrate the scientific potential of the upcoming JPAS survey. Full coverage of the 3800-9100 \AA range with 54 narrow and 6 broad optical filters allow for extremely accurate photo-z, which applied over 1000s of deg^2 will enable new applications of the photo-z technique such as measurement of baryonic acoustic oscillations. In this paper we describe the method used to obtain the photo-z included in the publicly available miniJPAS catalogue, and characterise the photo-z performance. We build 100 \AA resolution photo-spectra from the PSF-corrected forced-aperture photometry. Systematic offsets in the photometry are corrected by applying magnitude shifts obtained through iterative fitting with stellar population synthesis models. We compute photo-z with a customised version of LePhare, using a set of templates optimised for the J-PAS filter-set. We analyse the accuracy of miniJPAS photo-z and their dependence on multiple quantities using a subsample of 5,266 galaxies with spectroscopic redshifts from SDSS and DEEP, that we find to be representative of the whole r<23 miniJPAS sample. Formal uncertainties for the photo-z that are calculated with the \delta\chi^2 method underestimate the actual redshift errors. The odds parameter has the stronger correlation with |Dz|, and accurately reproduces the probability of a redshift outlier (|Dz|>0.03) irrespective of the magnitude, redshift, or spectral type of the sources. We show that the two main summary statistics characterising the photo-z accuracy for a population of galaxies (snmad and \eta) can be predicted by the distribution of odds in such population, and use this to estimate them for the whole miniJPAS sample. At r<23 there are 17,500 galaxies/deg^2 with valid photo-z estimates, of which 4,200 are expected to have |Dz|<0.003 (abridged)., Comment: 25 pages, 32 figures, 5 tables, accepted for publication in A&A
Published: 2021
Full Text: View/download PDF

29. J-PLUS: Support Vector Machine Applied to STAR-GALAXY-QSOClassification

Author: Wang, Cunshi, Bai, Yu, López-Sanjuan, C., Yuan, Haibo, Wang, Song, Liu, Jifeng, Sobral, David, Baqui, P. O., Martín, E. L., Galarza, Carlos Andres, Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, Varela, J., Wang, Cunshi, Bai, Yu, López-Sanjuan, C., Yuan, Haibo, Wang, Song, Liu, Jifeng, Sobral, David, Baqui, P. O., Martín, E. L., Galarza, Carlos Andres, Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Sodré Jr., L., Ramió, H. Vázquez, and Varela, J.
Abstract: Context. In modern astronomy, machine learning has proved to be efficient and effective to mine the big data from the newesttelescopes. Spectral surveys enable us to characterize millions of objects, while long exposure time observations and wide surveysconstrain their strides from millions to billions. Aims.In this study, we construct a supervised machine learning algorithm, to classify the objects in the Javalambre Photometric LocalUniverse Survey first data release (J-PLUS DR1). Methods.The sample set is featured with 12-waveband photometry, and magnitudes are labeled with spectrum-based catalogs, in-cluding Sloan Digital Sky Survey spectroscopic data, Large Sky Area Multi-Object Fiber Spectroscopic Telescope, and VERONCAT- Veron Catalog of Quasars & AGN. The performance of the classifier is presented with applications of blind test validations basedon RAdial Velocity Extension, Kepler Input Catalog, 2 MASS Redshift Survey, and the UV-bright Quasar Survey. A new algorithmis applied to constrain the extrapolation that could decrease accuracies for many machine learning classifiers. Results.The accuracies of the classifier are 96.5% in blind test and 97.0% in training cross validation. The F1-scores for each classare presented to show the precision of the classifier. We also discuss different methods to constrain the po, Comment: 26 pages,28 figures, accepted by A&A
Published: 2021
Full Text: View/download PDF

30. $Euclid$ preparation: XV. Forecasting cosmological constraints for the $Euclid$ and CMB joint analysis

Author: Euclid Collaboration, Ilić, S., Aghanim, N., Baccigalupi, C., Bermejo-Climent, J. R., Fabbian, G., Legrand, L., Paoletti, D., Ballardini, M., Archidiacono, M., Douspis, M., Finelli, F., Ganga, K., Hernández-Monteagudo, C., Lattanzi, M., Marinucci, D., Migliaccio, M., Carbone, C., Casas, S., Martinelli, M., Tutusaus, I., Natoli, P., Ntelis, P., Pagano, L., Wenzl, L., Gruppuso, A., Kitching, T., Langer, M., Mauri, N., Patrizii, L., Renzi, A., Sirri, G., Stanco, L., Tenti, M., Vielzeuf, P., Lacasa, F., Polenta, G., Yankelevich, V., Blanchard, A., Sakr, Z., Pourtsidou, A., Camera, S., Cardone, V. F., Kilbinger, M., Kunz, M., Markovic, K., Pettorino, V., Sánchez, A. G., Sapone, D., Amara, A., Auricchio, N., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Costille, A., Cropper, M., Da Silva, A., Degaudenzi, H., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farrens, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Fumana, M., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Guzzo, L., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Hudelot, P., Jahnke, K., Kermiche, S., Kiessling, A., Kohley, R., Kubik, B., Kümmel, M., Kurki-Suonio, H., Laureijs, R., Ligori, S., Lilje, P. B., Lloro, I., Mansutti, O., Marggraf, O., Marulli, F., Massey, R., Maurogordato, S., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W., Pires, S., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rebolo, R., Rhodes, J., Roncarelli, M., Rossetti, E., Saglia, R., Scaramella, R., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Starck, J. L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Kleijn, G. A. Verdoes, Wang, Y., Welikala, N., Weller, J., Zamorani, G., Zoubian, J., Medinaceli, E., Mei, S., Rosset, C., Sureau, F., Vassallo, T., Zacchei, A., Andreon, S., Balaguera-Antolínez, A., Baldi, M., Bardelli, S., Biviano, A., Borgani, S., Bozzo, E., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Castignani, G., Colodro-Conde, C., Coupon, J., Courtois, H. M., Cuby, J., de la Torre, S., Di Ferdinando, D., Dole, H., Farina, M., Ferreira, P. G., Flose-Reimberg, P., Galeotta, S., Gozaliasl, G., Graciá-Carpio, J., Keihanen, E., Kirkpatrick, C. C., Lindholm, V., Mainetti, G., Maino, D., Martinet, N., Maturi, M., Metcalf, R. B., Morgante, G., Neissner, C., Nightingale, J., Nucita, A. A., Potter, D., Riccio, G., Romelli, E., Schirmer, M., Schultheis, M., Scottez, V., Teyssier, R., Tramacere, A., Valiviita, J., Viel, M., Whittaker, L., Zucca, E., Euclid Collaboration, Ilić, S., Aghanim, N., Baccigalupi, C., Bermejo-Climent, J. R., Fabbian, G., Legrand, L., Paoletti, D., Ballardini, M., Archidiacono, M., Douspis, M., Finelli, F., Ganga, K., Hernández-Monteagudo, C., Lattanzi, M., Marinucci, D., Migliaccio, M., Carbone, C., Casas, S., Martinelli, M., Tutusaus, I., Natoli, P., Ntelis, P., Pagano, L., Wenzl, L., Gruppuso, A., Kitching, T., Langer, M., Mauri, N., Patrizii, L., Renzi, A., Sirri, G., Stanco, L., Tenti, M., Vielzeuf, P., Lacasa, F., Polenta, G., Yankelevich, V., Blanchard, A., Sakr, Z., Pourtsidou, A., Camera, S., Cardone, V. F., Kilbinger, M., Kunz, M., Markovic, K., Pettorino, V., Sánchez, A. G., Sapone, D., Amara, A., Auricchio, N., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Costille, A., Cropper, M., Da Silva, A., Degaudenzi, H., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farrens, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Fumana, M., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Guzzo, L., Haugan, S. V. H., Hoekstra, H., Holmes, W., Hormuth, F., Hudelot, P., Jahnke, K., Kermiche, S., Kiessling, A., Kohley, R., Kubik, B., Kümmel, M., Kurki-Suonio, H., Laureijs, R., Ligori, S., Lilje, P. B., Lloro, I., Mansutti, O., Marggraf, O., Marulli, F., Massey, R., Maurogordato, S., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Morin, B., Moscardini, L., Munari, E., Niemi, S. M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W., Pires, S., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rebolo, R., Rhodes, J., Roncarelli, M., Rossetti, E., Saglia, R., Scaramella, R., Schneider, P., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Starck, J. L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Valentijn, E. A., Valenziano, L., Kleijn, G. A. Verdoes, Wang, Y., Welikala, N., Weller, J., Zamorani, G., Zoubian, J., Medinaceli, E., Mei, S., Rosset, C., Sureau, F., Vassallo, T., Zacchei, A., Andreon, S., Balaguera-Antolínez, A., Baldi, M., Bardelli, S., Biviano, A., Borgani, S., Bozzo, E., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Castignani, G., Colodro-Conde, C., Coupon, J., Courtois, H. M., Cuby, J., de la Torre, S., Di Ferdinando, D., Dole, H., Farina, M., Ferreira, P. G., Flose-Reimberg, P., Galeotta, S., Gozaliasl, G., Graciá-Carpio, J., Keihanen, E., Kirkpatrick, C. C., Lindholm, V., Mainetti, G., Maino, D., Martinet, N., Maturi, M., Metcalf, R. B., Morgante, G., Neissner, C., Nightingale, J., Nucita, A. A., Potter, D., Riccio, G., Romelli, E., Schirmer, M., Schultheis, M., Scottez, V., Teyssier, R., Tramacere, A., Valiviita, J., Viel, M., Whittaker, L., and Zucca, E.
Abstract: The combination and cross-correlation of the upcoming $Euclid$ data with cosmic microwave background (CMB) measurements is a source of great expectation since it will provide the largest lever arm of epochs, ranging from recombination to structure formation across the entire past light cone. In this work, we present forecasts for the joint analysis of $Euclid$ and CMB data on the cosmological parameters of the standard cosmological model and some of its extensions. This work expands and complements the recently published forecasts based on $Euclid$-specific probes, namely galaxy clustering, weak lensing, and their cross-correlation. With some assumptions on the specifications of current and future CMB experiments, the predicted constraints are obtained from both a standard Fisher formalism and a posterior-fitting approach based on actual CMB data. Compared to a $Euclid$-only analysis, the addition of CMB data leads to a substantial impact on constraints for all cosmological parameters of the standard $\Lambda$-cold-dark-matter model, with improvements reaching up to a factor of ten. For the parameters of extended models, which include a redshift-dependent dark energy equation of state, non-zero curvature, and a phenomenological modification of gravity, improvements can be of the order of two to three, reaching higher than ten in some cases. The results highlight the crucial importance for cosmological constraints of the combination and cross-correlation of $Euclid$ probes with CMB data., Comment: 20 pages, 8 figures, 5 tables, 1 appendix; updated to match version accepted by journal
Published: 2021
Full Text: View/download PDF

31. The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system

Author: Delgado, R. M. González, Díaz-García, L. A., de Amorim, A., Bruzual, G., Fernandes, R. Cid, Pérez, E., Bonoli, S., Cenarro, A. J., Coelho, P. R. T., Cortesi, A., García-Benito, R., Fernández, R. López, Martínez-Solaeche, G., Rodríguez-Martín, J. E., Magris, G., Mejía-Narvaez, A., Brito-Silva, D., Abramo, L. R., Diego, J. M., Dupke, R. A., Hernán-Caballero, A., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Marra, V., Moles, M., Montero-Dorta, A., Queiroz, C., Sodré Jr., L., Varela, J., Ramió, H. Vázquez, Vílchez, J. M., Baqui, P. O., Benítez, N., Cristóbal-Hornillos, D., Ederoclite, A., de Oliveira, C. Mendes, Civera, T., Muniesa, D., Taylor, K., Tempel, E., collaboration, the J-PAS, Delgado, R. M. González, Díaz-García, L. A., de Amorim, A., Bruzual, G., Fernandes, R. Cid, Pérez, E., Bonoli, S., Cenarro, A. J., Coelho, P. R. T., Cortesi, A., García-Benito, R., Fernández, R. López, Martínez-Solaeche, G., Rodríguez-Martín, J. E., Magris, G., Mejía-Narvaez, A., Brito-Silva, D., Abramo, L. R., Diego, J. M., Dupke, R. A., Hernán-Caballero, A., Hernández-Monteagudo, C., López-Sanjuan, C., Marín-Franch, A., Marra, V., Moles, M., Montero-Dorta, A., Queiroz, C., Sodré Jr., L., Varela, J., Ramió, H. Vázquez, Vílchez, J. M., Baqui, P. O., Benítez, N., Cristóbal-Hornillos, D., Ederoclite, A., de Oliveira, C. Mendes, Civera, T., Muniesa, D., Taylor, K., Tempel, E., and collaboration, the J-PAS
Abstract: J-PAS will soon start imaging 8000 deg2 of the northern sky with its unique set of 56 filters (R $\sim$ 60). Before, we observed 1 deg2 on the AEGIS field with an interim camera with all the J-PAS filters. With this data (miniJPAS), we aim at proving the scientific potential of J-PAS to identify and characterize the galaxy populations with the goal of performing galaxy evolution studies across cosmic time. Several SED-fitting codes are used to constrain the stellar population properties of a complete flux-limited sample (rSDSS <= 22.5 AB) of miniJPAS galaxies that extends up to z = 1. We find consistent results on the galaxy properties derived from the different codes, independently of the galaxy spectral-type or redshift. For galaxies with SNR>=10, we estimate that the J-PAS photometric system allows to derive stellar population properties with a precision that is equivalent to that obtained with spectroscopic surveys of similar SNR. By using the dust-corrected (u-r) colour-mass diagram, a powerful proxy to characterize galaxy populations, we find that the fraction of red and blue galaxies evolves with cosmic time, with red galaxies being $\sim$ 38% and $\sim$ 18% of the whole population at z = 0.1 and z = 0.5, respectively. At all redshifts, the more massive galaxies belong to the red sequence and these galaxies are typically older and more metal rich than their counterparts in the blue cloud. Our results confirm that with J-PAS data we will be able to analyze large samples of galaxies up to z $\sim$ 1, with galaxy stellar masses above of log(M$_*$/M$_{\odot}$) $\sim$ 8.9, 9.5, and 9.9 at z = 0.3, 0.5, and 0.7, respectively. The SFH of a complete sub-sample of galaxies selected at z $\sim$ 0.1 with log(M$_*$/M$_{\odot}$) > 8.3 constrain the cosmic evolution of the star formation rate density up to z $\sim$ 3 in good agreement with results from cosmological surveys., Comment: 27 pages, 23 figures, 3 tables, accepted for publication in Astronomy & Astrophysics
Published: 2021
Full Text: View/download PDF

32. J-PLUS: Systematic impact of metallicity on photometric calibration with the stellar locus

Author: López-Sanjuan, C., Yuan, H., Ramió, H. Vázquez, Varela, J., Cristóbal-Hornillos, D., Tremblay, P. -E., Marín-Franch, A., Cenarro, A. J., Ederoclite, A., Alfaro, E. J., Alvarez-Candal, A., Daflon, S., Hernán-Caballero, A., Hernández-Monteagudo, C., Jiménez-Esteban, F. M., Placco, V. M., Tempel, E., Alcaniz, J., Angulo, R. E., Dupke, R. A., Moles, M., Sodré Jr, L., López-Sanjuan, C., Yuan, H., Ramió, H. Vázquez, Varela, J., Cristóbal-Hornillos, D., Tremblay, P. -E., Marín-Franch, A., Cenarro, A. J., Ederoclite, A., Alfaro, E. J., Alvarez-Candal, A., Daflon, S., Hernán-Caballero, A., Hernández-Monteagudo, C., Jiménez-Esteban, F. M., Placco, V. M., Tempel, E., Alcaniz, J., Angulo, R. E., Dupke, R. A., Moles, M., and Sodré Jr, L.
Abstract: We present the updated photometric calibration of the twelve optical passbands for the Javalambre Photometric Local Universe Survey (J-PLUS) second data release (DR2), comprising 1088 pointings of two square degrees, and study the systematic impact of metallicity in the stellar locus technique. The [Fe/H] metallicity from LAMOST DR5 for 146184 high-quality calibration stars, defined with S/N > 10 in J-PLUS passbands and S/N > 3 in Gaia parallax, was used to compute the metallicity-dependent stellar locus (ZSL). The initial homogenization of J-PLUS photometry, performed with a unique stellar locus, was refined by including the metallicity effect in colours via the ZSL. The variation of the average metallicity along the Milky Way produces a systematic offset in J-PLUS calibration. This effect is well above 1% for the bluer passbands and amounts 0.07, 0.07, 0.05, 0.03, and 0.02 mag in u, J0378, J0395, J0410, and J0430, respectively. We modelled this effect with the Milky Way location of the J-PLUS pointing, providing also an updated calibration for those observations without LAMOST information. The estimated accuracy in the calibration after including the metallicity effect is at 1% level for the bluer J-PLUS passbands and below for the rest. We conclude that photometric calibration with the stellar locus technique is prone to significant systematic bias along the Milky Way location for passbands bluer than lambda = 4500 A. The updated calibration method for J-PLUS DR2 reaches 1-2% precision and 1% accuracy for twelve optical filters within an area of 2176 square degrees., Comment: Published in Astronomy & Astrophysics. 18 pages, 12 figures, 3 tables, 2 appendices
Published: 2021
Full Text: View/download PDF

33. J-PLUS: The star formation main sequence and rate density at d < 75 Mpc

Author: Vilella-Rojo, G., Logroño-García, R., López-Sanjuan, C., Viironen, K., Varela, J., Moles, M., Cenarro, A. J., Cristóbal-Hornillos, D., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Ramió, H. Vázquez, Galbany, L., Delgado, R. M. González, Hernán-Caballero, A., Lumbreras-Calle, A., Sánchez-Blázquez, P., Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Sodré Jr, L., Vilella-Rojo, G., Logroño-García, R., López-Sanjuan, C., Viironen, K., Varela, J., Moles, M., Cenarro, A. J., Cristóbal-Hornillos, D., Ederoclite, A., Hernández-Monteagudo, C., Marín-Franch, A., Ramió, H. Vázquez, Galbany, L., Delgado, R. M. González, Hernán-Caballero, A., Lumbreras-Calle, A., Sánchez-Blázquez, P., Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., and Sodré Jr, L.
Abstract: Our goal is to estimate the star formation main sequence (SFMS) and the star formation rate density (SFRD) at z <= 0.017 (d < 75 Mpc) using the Javalambre Photometric Local Universe Survey (J-PLUS) first data release, that probes 897.4 deg2 with twelve optical bands. We extract the Halpha emission flux of 805 local galaxies from the J-PLUS filter J0660, being the continuum level estimated with the other eleven J-PLUS bands, and the dust attenuation and nitrogen contamination corrected with empirical relations. Stellar masses (M), Halpha luminosities (L), and star formation rates (SFRs) were estimated by accounting for parameters covariances. Our sample comprises 689 blue galaxies and 67 red galaxies, classified in the (u-g) vs (g-z) color-color diagram, plus 49 AGN. The SFMS is explored at log M > 8 and it is clearly defined by the blue galaxies, with the red galaxies located below them. The SFMS is described as log SFR = 0.83 log M - 8.44. We find a good agreement with previous estimations of the SFMS, especially those based on integral field spectroscopy. The Halpha luminosity function of the AGN-free sample is well described by a Schechter function with log L* = 41.34, log phi* = -2.43, and alpha = -1.25. Our measurements provide a lower characteristic luminosity than several previous studies in the literature. The derived star formation rate density at d < 75 Mpc is log rho_SFR = -2.10 +- 0.11, with red galaxies accounting for 15% of the SFRD. Our value is lower than previous estimations at similar redshift, and provides a local reference for evolutionary studies regarding the star formation history of the Universe., Comment: 26 pages. Accepted for publication in Astronomy and Astrophysics
Published: 2021
Full Text: View/download PDF

34. Exploring cosmic origins with CORE: Effects of observer peculiar motion

Author: Burigana, C, Carvalho, C, Trombetti, T, Notari, A, Quartin, M, Gasperis, G, Buzzelli, A, Vittorio, N, Zotti, G, de Bernardis, P, Chluba, J, Bilicki, M, Danese, L, Delabrouille, J, Toffolatti, L, Lapi, A, Negrello, M, Mazzotta, P, Scott, D, Contreras, D, Achúcarro, A, Ade, P, Allison, R, Ashdown, M, Ballardini, M, Banday, A, Banerji, R, Bartlett, J, Bartolo, N, Basak, S, Bersanelli, M, Bonaldi, A, Bonato, M, Borrill, J, Bouchet, F, Boulanger, F, Brinckmann, T, Bucher, M, Cabella, P, Cai, Z, Calvo, M, Castellano, M, Challinor, A, Clesse, S, Colantoni, I, Coppolecchia, A, Crook, M, D'Alessandro, G, Diego, J, Marco, A, Valentino, E, Errard, J, Feeney, S, Fernández-Cobos, R, Ferraro, S, Finelli, F, Forastieri, F, Galli, S, Génova-Santos, R, Gerbino, M, González-Nuevo, J, Grandis, S, Greenslade, J, Hagstotz, S, Hanany, S, Handley, W, Hernández-Monteagudo, C, Hervias-Caimapo, C, Hills, M, Hivon, E, Kiiveri, K, Kisner, T, Kitching, T, Kunz, M, Kurki-Suonio, H, Lamagna, L, Lasenby, A, Lattanzi, M, Lesgourgues, J, Liguori, M, Lindholm, V, Lopez-Caniego, M, Luzzi, G, Maffei, B, Mandolesi, N, Martinez-Gonzalez, E, Martins, C, Masi, S, Matarrese, S, Mccarthy, D, Melchiorri, A, Melin, J, Molinari, D, Monfardini, A, Natoli, P, Paiella, A, Paoletti, D, Patanchon, G, Piat, M, Pisano, G, Polastri, L, Polenta, G, Pollo, A, Poulin, V, Remazeilles, M, Roman, M, Rubiño-Martín, J, Salvati, L, Tartari, A, Tomasi, M, Tramonte, D, Trappe, N, Tucker, C, Väliviita, J, de Weijgaert, R, Tent, B, Vennin, V, Vielva, P, Young, K, Zannoni, M, Burigana, C., Carvalho, C. S., Trombetti, T., Notari, A., Quartin, M., Gasperis, G. D., Buzzelli, A., Vittorio, N., Zotti, G. De, de Bernardis, P., Chluba, J., Bilicki, M., Danese, L., Delabrouille, J., Toffolatti, L., Lapi, A., Negrello, M., Mazzotta, P., Scott, D., Contreras, D., Achúcarro, A., Ade, P., Allison, R., Ashdown, M., Ballardini, M., Banday, A. J., Banerji, R., Bartlett, J., Bartolo, N., Basak, S., Bersanelli, M., Bonaldi, A., Bonato, M., Borrill, J., Bouchet, F., Boulanger, F., Brinckmann, T., Bucher, M., Cabella, P., Cai, Z. -Y., Calvo, M., Castellano, M. G., Challinor, A., Clesse, S., Colantoni, I., Coppolecchia, A., Crook, M., D'Alessandro, G., Diego, J. -M., Marco, A. Di, Valentino, E. Di, Errard, J., Feeney, S., Fernández-Cobos, R., Ferraro, S., Finelli, F., Forastieri, F., Galli, S., Génova-Santos, R., Gerbino, M., González-Nuevo, J., Grandis, S., Greenslade, J., Hagstotz, S., Hanany, S., Handley, W., Hernández-Monteagudo, C., Hervias-Caimapo, C., Hills, M., Hivon, E., Kiiveri, K., Kisner, T., Kitching, T., Kunz, M., Kurki-Suonio, H., Lamagna, L., Lasenby, A., Lattanzi, M., Lesgourgues, J., Liguori, M., Lindholm, V., Lopez-Caniego, M., Luzzi, G., Maffei, B., Mandolesi, N., Martinez-Gonzalez, E., Martins, C. J. A. P., Masi, S., Matarrese, S., McCarthy, D., Melchiorri, A., Melin, J. -B., Molinari, D., Monfardini, A., Natoli, P., Paiella, A., Paoletti, D., Patanchon, G., Piat, M., Pisano, G., Polastri, L., Polenta, G., Pollo, A., Poulin, V., Remazeilles, M., Roman, M., Rubiño-Martín, J. -A., Salvati, L., Tartari, A., Tomasi, M., Tramonte, D., Trappe, N., Tucker, C., Väliviita, J., de Weijgaert, R. Van, Tent, B. van, Vennin, V., Vielva, P., Young, K., Zannoni, M., Burigana, C, Carvalho, C, Trombetti, T, Notari, A, Quartin, M, Gasperis, G, Buzzelli, A, Vittorio, N, Zotti, G, de Bernardis, P, Chluba, J, Bilicki, M, Danese, L, Delabrouille, J, Toffolatti, L, Lapi, A, Negrello, M, Mazzotta, P, Scott, D, Contreras, D, Achúcarro, A, Ade, P, Allison, R, Ashdown, M, Ballardini, M, Banday, A, Banerji, R, Bartlett, J, Bartolo, N, Basak, S, Bersanelli, M, Bonaldi, A, Bonato, M, Borrill, J, Bouchet, F, Boulanger, F, Brinckmann, T, Bucher, M, Cabella, P, Cai, Z, Calvo, M, Castellano, M, Challinor, A, Clesse, S, Colantoni, I, Coppolecchia, A, Crook, M, D'Alessandro, G, Diego, J, Marco, A, Valentino, E, Errard, J, Feeney, S, Fernández-Cobos, R, Ferraro, S, Finelli, F, Forastieri, F, Galli, S, Génova-Santos, R, Gerbino, M, González-Nuevo, J, Grandis, S, Greenslade, J, Hagstotz, S, Hanany, S, Handley, W, Hernández-Monteagudo, C, Hervias-Caimapo, C, Hills, M, Hivon, E, Kiiveri, K, Kisner, T, Kitching, T, Kunz, M, Kurki-Suonio, H, Lamagna, L, Lasenby, A, Lattanzi, M, Lesgourgues, J, Liguori, M, Lindholm, V, Lopez-Caniego, M, Luzzi, G, Maffei, B, Mandolesi, N, Martinez-Gonzalez, E, Martins, C, Masi, S, Matarrese, S, Mccarthy, D, Melchiorri, A, Melin, J, Molinari, D, Monfardini, A, Natoli, P, Paiella, A, Paoletti, D, Patanchon, G, Piat, M, Pisano, G, Polastri, L, Polenta, G, Pollo, A, Poulin, V, Remazeilles, M, Roman, M, Rubiño-Martín, J, Salvati, L, Tartari, A, Tomasi, M, Tramonte, D, Trappe, N, Tucker, C, Väliviita, J, de Weijgaert, R, Tent, B, Vennin, V, Vielva, P, Young, K, Zannoni, M, Burigana, C., Carvalho, C. S., Trombetti, T., Notari, A., Quartin, M., Gasperis, G. D., Buzzelli, A., Vittorio, N., Zotti, G. De, de Bernardis, P., Chluba, J., Bilicki, M., Danese, L., Delabrouille, J., Toffolatti, L., Lapi, A., Negrello, M., Mazzotta, P., Scott, D., Contreras, D., Achúcarro, A., Ade, P., Allison, R., Ashdown, M., Ballardini, M., Banday, A. J., Banerji, R., Bartlett, J., Bartolo, N., Basak, S., Bersanelli, M., Bonaldi, A., Bonato, M., Borrill, J., Bouchet, F., Boulanger, F., Brinckmann, T., Bucher, M., Cabella, P., Cai, Z. -Y., Calvo, M., Castellano, M. G., Challinor, A., Clesse, S., Colantoni, I., Coppolecchia, A., Crook, M., D'Alessandro, G., Diego, J. -M., Marco, A. Di, Valentino, E. Di, Errard, J., Feeney, S., Fernández-Cobos, R., Ferraro, S., Finelli, F., Forastieri, F., Galli, S., Génova-Santos, R., Gerbino, M., González-Nuevo, J., Grandis, S., Greenslade, J., Hagstotz, S., Hanany, S., Handley, W., Hernández-Monteagudo, C., Hervias-Caimapo, C., Hills, M., Hivon, E., Kiiveri, K., Kisner, T., Kitching, T., Kunz, M., Kurki-Suonio, H., Lamagna, L., Lasenby, A., Lattanzi, M., Lesgourgues, J., Liguori, M., Lindholm, V., Lopez-Caniego, M., Luzzi, G., Maffei, B., Mandolesi, N., Martinez-Gonzalez, E., Martins, C. J. A. P., Masi, S., Matarrese, S., McCarthy, D., Melchiorri, A., Melin, J. -B., Molinari, D., Monfardini, A., Natoli, P., Paiella, A., Paoletti, D., Patanchon, G., Piat, M., Pisano, G., Polastri, L., Polenta, G., Pollo, A., Poulin, V., Remazeilles, M., Roman, M., Rubiño-Martín, J. -A., Salvati, L., Tartari, A., Tomasi, M., Tramonte, D., Trappe, N., Tucker, C., Väliviita, J., de Weijgaert, R. Van, Tent, B. van, Vennin, V., Vielva, P., Young, K., and Zannoni, M.
Abstract: We discuss the effects on the cosmic microwave background (CMB), cosmic infrared background (CIB), and thermal Sunyaev-Zeldovich effect due to the peculiar motion of an observer with respect to the CMB rest frame, which induces boosting effects. After a brief review of the current observational and theoretical status, we investigate the scientific perspectives opened by future CMB space missions, focussing on the Cosmic Origins Explorer (CORE) proposal. The improvements in sensitivity offered by a mission like CORE, together with its high resolution over a wide frequency range, will provide a more accurate estimate of the CMB dipole. The extension of boosting effects to polarization and cross-correlations will enable a more robust determination of purely velocity-driven effects that are not degenerate with the intrinsic CMB dipole, allowing us to achieve an overall signal-to-noise ratio of 13; this improves on the Planck detection and essentially equals that of an ideal cosmic-variance-limited experiment up to a multipole l2000. Precise inter-frequency calibration will offer the opportunity to constrain or even detect CMB spectral distortions, particularly from the cosmological reionization epoch, because of the frequency dependence of the dipole spectrum, without resorting to precise absolute calibration. The expected improvement with respect to COBE-FIRAS in the recovery of distortion parameters (which could in principle be a factor of several hundred for an ideal experiment with the CORE configuration) ranges from a factor of several up to about 50, depending on the quality of foreground removal and relative calibration. Even in the case of 1 % accuracy in both foreground removal and relative calibration at an angular scale of 1-, we find that dipole analyses for a mission like CORE will be able to improve the recovery of the CIB spectrum amplitude by a factor 17 in comparison with current results based on COBE-FIRAS. In addition to the scientific potential of a
Published: 2018

35. Exploring cosmic origins with CORE: Extragalactic sources in cosmic microwave background maps

Author: Zotti, G, González-Nuevo, J, Lopez-Caniego, M, Negrello, M, Greenslade, J, Hernández-Monteagudo, C, Delabrouille, J, Cai, Z, Bonato, M, Achúcarro, A, Ade, P, Allison, R, Ashdown, M, Ballardini, M, Banday, A, Banerji, R, Bartlett, J, Bartolo, N, Basak, S, Bersanelli, M, Biesiada, M, Bilicki, M, Bonaldi, A, Bonavera, L, Borrill, J, Bouchet, F, Boulanger, F, Brinckmann, T, Bucher, M, Burigana, C, Buzzelli, A, Calvo, M, Carvalho, C, Castellano, M, Challinor, A, Chluba, J, Clements, D, Clesse, S, Colafrancesco, S, Colantoni, I, Coppolecchia, A, Crook, M, D'Alessandro, G, de Bernardis, P, de Gasperis, G, Diego, J, Valentino, E, Errard, J, Feeney, S, Fernández-Cobos, R, Ferraro, S, Finelli, F, Forastieri, F, Galli, S, Génova-Santos, R, Gerbino, M, Grandis, S, Hagstotz, S, Hanany, S, Handley, W, Hervias-Caimapo, C, Hills, M, Hivon, E, Kiiveri, K, Kisner, T, Kitching, T, Kunz, M, Kurki-Suonio, H, Lagache, G, Lamagna, L, Lasenby, A, Lattanzi, M, Brun, A, Lesgourgues, J, Lewis, A, Liguori, M, Lindholm, V, Luzzi, G, Maffei, B, Mandolesi, N, Martinez-Gonzalez, E, Martins, C, Masi, S, Massardi, M, Matarrese, S, Mccarthy, D, Melchiorri, A, Melin, J, Molinari, D, Monfardini, A, Natoli, P, Notari, A, Paiella, A, Paoletti, D, Partridge, R, Patanchon, G, Piat, M, Pisano, G, Polastri, L, Polenta, G, Pollo, A, Poulin, V, Quartin, M, Remazeilles, M, Roman, M, Rossi, G, Roukema, B, Rubiño-Martín, J, Salvati, L, Scott, D, Serjeant, S, Tartari, A, Toffolatti, L, Tomasi, M, Trappe, N, Triqueneaux, S, Trombetti, T, Tucci, M, Tucker, C, Väliviita, J, de Weygaert, R, Tent, B, Vennin, V, Vielva, P, Vittorio, N, Young, K, Zannoni, M, Zotti, G. De, González-Nuevo, J., Lopez-Caniego, M., Negrello, M., Greenslade, J., Hernández-Monteagudo, C., Delabrouille, J., Cai, Z. -Y., Bonato, M., Achúcarro, A., Ade, P., Allison, R., Ashdown, M., Ballardini, M., Banday, A. J., Banerji, R., Bartlett, J. G., Bartolo, N., Basak, S., Bersanelli, M., Biesiada, M., Bilicki, M., Bonaldi, A., Bonavera, L., Borrill, J., Bouchet, F., Boulanger, F., Brinckmann, T., Bucher, M., Burigana, C., Buzzelli, A., Calvo, M., Carvalho, C. S., Castellano, M. G., Challinor, A., Chluba, J., Clements, D. L., Clesse, S., Colafrancesco, S., Colantoni, I., Coppolecchia, A., Crook, M., D'Alessandro, G., de Bernardis, P., de Gasperis, G., Diego, J. M., Valentino, E. Di, Errard, J., Feeney, S. M., Fernández-Cobos, R., Ferraro, S., Finelli, F., Forastieri, F., Galli, S., Génova-Santos, R. T., Gerbino, M., Grandis, S., Hagstotz, S., Hanany, S., Handley, W., Hervias-Caimapo, C., Hills, M., Hivon, E., Kiiveri, K., Kisner, T., Kitching, T., Kunz, M., Kurki-Suonio, H., Lagache, G., Lamagna, L., Lasenby, A., Lattanzi, M., Brun, A. Le, Lesgourgues, J., Lewis, A., Liguori, M., Lindholm, V., Luzzi, G., Maffei, B., Mandolesi, N., Martinez-Gonzalez, E., Martins, C. J. A. P., Masi, S., Massardi, M., Matarrese, S., McCarthy, D., Melchiorri, A., Melin, J. -B., Molinari, D., Monfardini, A., Natoli, P., Notari, A., Paiella, A., Paoletti, D., Partridge, R. B., Patanchon, G., Piat, M., Pisano, G., Polastri, L., Polenta, G., Pollo, A., Poulin, V., Quartin, M., Remazeilles, M., Roman, M., Rossi, G., Roukema, B. F., Rubiño-Martín, J. -A., Salvati, L., Scott, D., Serjeant, S., Tartari, A., Toffolatti, L., Tomasi, M., Trappe, N., Triqueneaux, S., Trombetti, T., Tucci, M., Tucker, C., Väliviita, J., de Weygaert, R. van, Tent, B. Van, Vennin, V., Vielva, P., Vittorio, N., Young, K., Zannoni, M., Zotti, G, González-Nuevo, J, Lopez-Caniego, M, Negrello, M, Greenslade, J, Hernández-Monteagudo, C, Delabrouille, J, Cai, Z, Bonato, M, Achúcarro, A, Ade, P, Allison, R, Ashdown, M, Ballardini, M, Banday, A, Banerji, R, Bartlett, J, Bartolo, N, Basak, S, Bersanelli, M, Biesiada, M, Bilicki, M, Bonaldi, A, Bonavera, L, Borrill, J, Bouchet, F, Boulanger, F, Brinckmann, T, Bucher, M, Burigana, C, Buzzelli, A, Calvo, M, Carvalho, C, Castellano, M, Challinor, A, Chluba, J, Clements, D, Clesse, S, Colafrancesco, S, Colantoni, I, Coppolecchia, A, Crook, M, D'Alessandro, G, de Bernardis, P, de Gasperis, G, Diego, J, Valentino, E, Errard, J, Feeney, S, Fernández-Cobos, R, Ferraro, S, Finelli, F, Forastieri, F, Galli, S, Génova-Santos, R, Gerbino, M, Grandis, S, Hagstotz, S, Hanany, S, Handley, W, Hervias-Caimapo, C, Hills, M, Hivon, E, Kiiveri, K, Kisner, T, Kitching, T, Kunz, M, Kurki-Suonio, H, Lagache, G, Lamagna, L, Lasenby, A, Lattanzi, M, Brun, A, Lesgourgues, J, Lewis, A, Liguori, M, Lindholm, V, Luzzi, G, Maffei, B, Mandolesi, N, Martinez-Gonzalez, E, Martins, C, Masi, S, Massardi, M, Matarrese, S, Mccarthy, D, Melchiorri, A, Melin, J, Molinari, D, Monfardini, A, Natoli, P, Notari, A, Paiella, A, Paoletti, D, Partridge, R, Patanchon, G, Piat, M, Pisano, G, Polastri, L, Polenta, G, Pollo, A, Poulin, V, Quartin, M, Remazeilles, M, Roman, M, Rossi, G, Roukema, B, Rubiño-Martín, J, Salvati, L, Scott, D, Serjeant, S, Tartari, A, Toffolatti, L, Tomasi, M, Trappe, N, Triqueneaux, S, Trombetti, T, Tucci, M, Tucker, C, Väliviita, J, de Weygaert, R, Tent, B, Vennin, V, Vielva, P, Vittorio, N, Young, K, Zannoni, M, Zotti, G. De, González-Nuevo, J., Lopez-Caniego, M., Negrello, M., Greenslade, J., Hernández-Monteagudo, C., Delabrouille, J., Cai, Z. -Y., Bonato, M., Achúcarro, A., Ade, P., Allison, R., Ashdown, M., Ballardini, M., Banday, A. J., Banerji, R., Bartlett, J. G., Bartolo, N., Basak, S., Bersanelli, M., Biesiada, M., Bilicki, M., Bonaldi, A., Bonavera, L., Borrill, J., Bouchet, F., Boulanger, F., Brinckmann, T., Bucher, M., Burigana, C., Buzzelli, A., Calvo, M., Carvalho, C. S., Castellano, M. G., Challinor, A., Chluba, J., Clements, D. L., Clesse, S., Colafrancesco, S., Colantoni, I., Coppolecchia, A., Crook, M., D'Alessandro, G., de Bernardis, P., de Gasperis, G., Diego, J. M., Valentino, E. Di, Errard, J., Feeney, S. M., Fernández-Cobos, R., Ferraro, S., Finelli, F., Forastieri, F., Galli, S., Génova-Santos, R. T., Gerbino, M., Grandis, S., Hagstotz, S., Hanany, S., Handley, W., Hervias-Caimapo, C., Hills, M., Hivon, E., Kiiveri, K., Kisner, T., Kitching, T., Kunz, M., Kurki-Suonio, H., Lagache, G., Lamagna, L., Lasenby, A., Lattanzi, M., Brun, A. Le, Lesgourgues, J., Lewis, A., Liguori, M., Lindholm, V., Luzzi, G., Maffei, B., Mandolesi, N., Martinez-Gonzalez, E., Martins, C. J. A. P., Masi, S., Massardi, M., Matarrese, S., McCarthy, D., Melchiorri, A., Melin, J. -B., Molinari, D., Monfardini, A., Natoli, P., Notari, A., Paiella, A., Paoletti, D., Partridge, R. B., Patanchon, G., Piat, M., Pisano, G., Polastri, L., Polenta, G., Pollo, A., Poulin, V., Quartin, M., Remazeilles, M., Roman, M., Rossi, G., Roukema, B. F., Rubiño-Martín, J. -A., Salvati, L., Scott, D., Serjeant, S., Tartari, A., Toffolatti, L., Tomasi, M., Trappe, N., Triqueneaux, S., Trombetti, T., Tucci, M., Tucker, C., Väliviita, J., de Weygaert, R. van, Tent, B. Van, Vennin, V., Vielva, P., Vittorio, N., Young, K., and Zannoni, M.
Abstract: We discuss the potential of a next generation space-borne Cosmic Microwave Background (CMB) experiment for studies of extragalactic sources. Our analysis has particular bearing on the definition of the future space project, CORE, that has been submitted in response to ESA's call for a Medium-size mission opportunity as the successor of the Planck satellite. Even though the effective telescope size will be somewhat smaller than that of Planck, CORE will have a considerably better angular resolution at its highest frequencies, since, in contrast with Planck, it will be diffraction limited at all frequencies. The improved resolution implies a considerable decrease of the source confusion, i.e. substantially fainter detection limits. In particular, CORE will detect thousands of strongly lensed high-z galaxies distributed over the full sky. The extreme brightness of these galaxies will make it possible to study them, via follow-up observations, in extraordinary detail. Also, the CORE resolution matches the typical sizes of high-z galaxy proto-clusters much better than the Planck resolution, resulting in a much higher detection efficiency; these objects will be caught in an evolutionary phase beyond the reach of surveys in other wavebands. Furthermore, CORE will provide unique information on the evolution of the star formation in virialized groups and clusters of galaxies up to the highest possible redshifts. Finally, thanks to its very high sensitivity, CORE will detect the polarized emission of thousands of radio sources and, for the first time, of dusty galaxies, at mm and sub-mm wavelengths, respectively.
Published: 2018

36. J-PLUS: Tools to identify compact planetary nebulae in the Javalambre and southern photometric local universe surveys

Author: Gutiérrez-Soto, L. A., Gonçalves, D. R., Akras, S., Cortesi, A., López-Sanjuan, C., Guerrero, M. A., Daflon, S., Fernandes, M. Borges, Oliveira, C. Mendes de, Ederoclite, A., Jr, L. Sodré, Pereira, C. B., Kanaan, A., Werle, A., Ramió, H. Vázquez, Alcaniz, J. S., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Varela, J., Ribeiro, T., Schoenell, W., Alvarez-Candal, A., Galbany, L., Jiménez-Esteban, F. M., Logroño-García, R., Sobral, D., Gutiérrez-Soto, L. A., Gonçalves, D. R., Akras, S., Cortesi, A., López-Sanjuan, C., Guerrero, M. A., Daflon, S., Fernandes, M. Borges, Oliveira, C. Mendes de, Ederoclite, A., Jr, L. Sodré, Pereira, C. B., Kanaan, A., Werle, A., Ramió, H. Vázquez, Alcaniz, J. S., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Varela, J., Ribeiro, T., Schoenell, W., Alvarez-Candal, A., Galbany, L., Jiménez-Esteban, F. M., Logroño-García, R., and Sobral, D.
Abstract: From the approximately $\sim$3,500 planetary nebulae (PNe) discovered in our Galaxy, only 14 are known to be members of the Galactic halo. Nevertheless, a systematic search for halo PNe has never been performed. In this study, we present new photometric diagnostic tools to identify compact PNe in the Galactic halo by making use of the novel 12-filter system projects, J-PLUS (Javalambre Photometric Local Universe Survey) and S-PLUS (Southern-Photometric Local Universe Survey). We reconstructed the IPHAS (Isaac Newton Telescope (INT) Photometric H${\alpha}$ Survey of the Northern Galactic Plane) diagnostic diagram and propose four new ones using i) the J-PLUS and S-PLUS synthetic photometry for a grid of photo-ionisation models of halo PNe, ii) several observed halo PNe, as well as iii) a number of other emission-line objects that resemble PNe. All colour-colour diagnostic diagrams are validated using two known halo PNe observed by J-PLUS during the scientific verification phase and the first data release (DR1) of S-PLUS and the DR1 of J-PLUS. By applying our criteria to the DR1s ($\sim$1,190 deg$^2$), we identified one PN candidate. However, optical follow-up spectroscopy proved it to be a H II region belonging to the UGC 5272 galaxy. Here, we also discuss the PN and two H II galaxies recovered by these selection criteria. Finally, the cross-matching with the most updated PNe catalogue (HASH) helped us to highlight the potential of these surveys, since we recover all the known PNe in the observed area. The tools here proposed to identify PNe and separate them from their emission-line contaminants proved to be very efficient thanks to the combination of many colours, even when applied -like in the present work- to an automatic photometric search that is limited to compact PNe.
Published: 2020

37. The miniJPAS survey: star-galaxy classification using machine learning

Author: Baqui, P. O., Marra, V., Casarini, L., Angulo, R., Díaz-García, L. A., Hernández-Monteagudo, C., Lopes, P. A. A., López-Sanjuan, C., Muniesa, D., Placco, V. M., Quartin, M., Queiroz, C., Sobral, D., Solano, E., Tempel, E., Varela, J., Vílchez, J. M., Abramo, R., Alcaniz, J., Benitez, N., Bonoli, S., Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, D., de Amorim, A. L., de Oliveira, C. M., Dupke, R., Ederoclite, A., Delgado, R. M. González, Marín-Franch, A., Moles, M., Ramió, H. Vázquez, Sodré, L., Taylor, K., Baqui, P. O., Marra, V., Casarini, L., Angulo, R., Díaz-García, L. A., Hernández-Monteagudo, C., Lopes, P. A. A., López-Sanjuan, C., Muniesa, D., Placco, V. M., Quartin, M., Queiroz, C., Sobral, D., Solano, E., Tempel, E., Varela, J., Vílchez, J. M., Abramo, R., Alcaniz, J., Benitez, N., Bonoli, S., Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, D., de Amorim, A. L., de Oliveira, C. M., Dupke, R., Ederoclite, A., Delgado, R. M. González, Marín-Franch, A., Moles, M., Ramió, H. Vázquez, Sodré, L., and Taylor, K.
Abstract: Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work, we analyze the miniJPAS survey, which observed about 1 deg2 of the AEGIS field with 56 narrow-band filters and 4 ugri broad-band filters. We discuss the classification of miniJPAS sources into extended (galaxies) and point-like (e.g. stars) objects, a necessary step for the subsequent scientific analyses. We aim at developing an ML classifier that is complementary to traditional tools based on explicit modeling. In order to train and test our classifiers, we crossmatched the miniJPAS dataset with SDSS and HSC-SSP data. We trained and tested 6 different ML algorithms on the two crossmatched catalogs. As input for the ML algorithms we use the magnitudes from the 60 filters together with their errors, with and without the morphological parameters. We also use the mean PSF in the r detection band for each pointing. We find that the RF and ERT algorithms perform best in all scenarios. When analyzing the full magnitude range of 1521). We use our best classifiers, with and without morphology, in order to produce a value added catalog available at https://j-pas.org/datareleases ., Comment: 19 pages, 17 figures. New Appendices E & F and improved discussion. VAC available at https://j-pas.org/datareleases . Trained models available at https://github.com/J-PAS-collaboration/StarGalClass-MachineLearning . Abstract abridged to meet arXiv requirements. Version accepted for publication in A&A
Published: 2020
Full Text: View/download PDF

38. The miniJPAS survey: a preview of the Universe in 56 colours

Author: Bonoli, S., Marín-Franch, A., Varela, J., Ramió, H. Vázquez, Abramo, L. R., Cenarro, A. J., Dupke, R. A., Vílchez, J. M., Cristóbal-Hornillos, D., Delgado, R. M. González, Hernández-Monteagudo, C., López-Sanjuan, C., Muniesa, D. J., Civera, T., Ederoclite, A., Hernán-Caballero, A., Marra, V., Baqui, P. O., Cortesi, A., Cypriano, E. S., Daflon, S., de Amorim, A. L., Díaz-García, L. A., Diego, J. M., Martínez-Solaeche, G., Pérez, E., Placco, V. M., Prada, F., Queiroz, C., Alcaniz, J., Alvarez-Candal, A., Cepa, J., Maroto, A. L., Roig, F., Siffert, B. B., Taylor, K., Benitez, N., Moles, M., Sodré Jr., L., Carneiro, S., de Oliveira, C. Mendes, Abdalla, E., Angulo, R. E., Resco, M. Aparicio, Balaguera-Antolínez, A., Ballesteros, F. J., Brito-Silva, D., Broadhurst, T., Carrasco, E. R., Castro, T., Fernandes, R. Cid, Coelho, P., de Melo, R. B., Doubrawa, L., Fernandez-Soto, A., Ferrari, F., Finoguenov, A., García-Benito, R., Iglesias-Páramo, J., Jiménez-Teja, Y., Kitaura, F. S., Laur, J., Lopes, P. A. A., Lucatelli, G., Martínez, V. J., Maturi, M., Quartin, M., Pigozzo, C., Rodrìguez-Martìn, J. E., Salzano, V., Tamm, A., Tempel, E., Umetsu, K., Valdivielso, L., von Marttens, R., Zitrin, A., Díaz-Martín, M. C., López-Alegre, G., López-Sainz, A., Yanes-Díaz, A., Rueda-Teruel, F., Rueda-Teruel, S., Ibañez, J. Abril, Bravo, J. L Antón, Ferrer, R. Bello, Bielsa, S., Casino, J. M., Castillo, J., Chueca, S., Cuesta, L., Calderaro, J. Garzarán, Iglesias-Marzoa, R., Íniguez, C., Gutierrez, J. L. Lamadrid, Lopez-Martinez, F., Lozano-Pérez, D., Sacristán, N. Maícas, Molina-Ibáñez, E. L., Moreno-Signes, A., Llano, S. Rodríguez, Navarro, M. Royo, Rua, V. Tilve, Andrade, U., Alfaro, E. J., Akras, S., Arnalte-Mur, P., Ascaso, B., Barbosa, C. E., Jiménez, J. Beltrán, Benetti, M., Bengaly, C. A. P., Bernui, A., Blanco-Pillado, J. J., Fernandes, M. Borges, Bregman, J. N., Bruzual, G., Calderone, G., Carvano, J. M., Casarini, L., Chies-Santos, A. L, de Carvalho, G. Coutinho, Dimauro, P., Puertas, S. Duarte, Figueruelo, D., González-Serrano, J. I., Guerrero, M. A., Gurung-López, S., Herranz, D., Huertas-Company, M., Irwin, J. A., Izquierdo-Villalba, D., Kanaan, A., Kehrig, C., Kirkpatrick, C. C., Lim, J., Lopes, A. R., de Oliveira, R. Lopes, Marcos-Caballero, A., Martínez-Delgado, D., Martínez-González, E., Martínez-Somonte, G., Oliveira, N., Orsi, A. A., Overzier, R. A., Penna-Lima, M., Reis, R. R. R., Spinoso, D., Tsujikawa, S., Vielva, P., Vitorelli, A. Z., Xia, J. Q., Yuan, H. B., Arroyo-Polonio, A., Dantas, M. L. L., Galarza, C. A., Gonçalves, D. R., Gonçalves, R. S., Gonzalez, J. E., Gonzalez, A. H., Greisel, N., Landim, R. G., Lazzaro, D., Magris, G., Monteiro-Oliveira, R., Pereira, C. B., Rebouças, M. J., Rodriguez-Espinosa, J. M., da Costa, S. Santos, Telles, E., Bonoli, S., Marín-Franch, A., Varela, J., Ramió, H. Vázquez, Abramo, L. R., Cenarro, A. J., Dupke, R. A., Vílchez, J. M., Cristóbal-Hornillos, D., Delgado, R. M. González, Hernández-Monteagudo, C., López-Sanjuan, C., Muniesa, D. J., Civera, T., Ederoclite, A., Hernán-Caballero, A., Marra, V., Baqui, P. O., Cortesi, A., Cypriano, E. S., Daflon, S., de Amorim, A. L., Díaz-García, L. A., Diego, J. M., Martínez-Solaeche, G., Pérez, E., Placco, V. M., Prada, F., Queiroz, C., Alcaniz, J., Alvarez-Candal, A., Cepa, J., Maroto, A. L., Roig, F., Siffert, B. B., Taylor, K., Benitez, N., Moles, M., Sodré Jr., L., Carneiro, S., de Oliveira, C. Mendes, Abdalla, E., Angulo, R. E., Resco, M. Aparicio, Balaguera-Antolínez, A., Ballesteros, F. J., Brito-Silva, D., Broadhurst, T., Carrasco, E. R., Castro, T., Fernandes, R. Cid, Coelho, P., de Melo, R. B., Doubrawa, L., Fernandez-Soto, A., Ferrari, F., Finoguenov, A., García-Benito, R., Iglesias-Páramo, J., Jiménez-Teja, Y., Kitaura, F. S., Laur, J., Lopes, P. A. A., Lucatelli, G., Martínez, V. J., Maturi, M., Quartin, M., Pigozzo, C., Rodrìguez-Martìn, J. E., Salzano, V., Tamm, A., Tempel, E., Umetsu, K., Valdivielso, L., von Marttens, R., Zitrin, A., Díaz-Martín, M. C., López-Alegre, G., López-Sainz, A., Yanes-Díaz, A., Rueda-Teruel, F., Rueda-Teruel, S., Ibañez, J. Abril, Bravo, J. L Antón, Ferrer, R. Bello, Bielsa, S., Casino, J. M., Castillo, J., Chueca, S., Cuesta, L., Calderaro, J. Garzarán, Iglesias-Marzoa, R., Íniguez, C., Gutierrez, J. L. Lamadrid, Lopez-Martinez, F., Lozano-Pérez, D., Sacristán, N. Maícas, Molina-Ibáñez, E. L., Moreno-Signes, A., Llano, S. Rodríguez, Navarro, M. Royo, Rua, V. Tilve, Andrade, U., Alfaro, E. J., Akras, S., Arnalte-Mur, P., Ascaso, B., Barbosa, C. E., Jiménez, J. Beltrán, Benetti, M., Bengaly, C. A. P., Bernui, A., Blanco-Pillado, J. J., Fernandes, M. Borges, Bregman, J. N., Bruzual, G., Calderone, G., Carvano, J. M., Casarini, L., Chies-Santos, A. L, de Carvalho, G. Coutinho, Dimauro, P., Puertas, S. Duarte, Figueruelo, D., González-Serrano, J. I., Guerrero, M. A., Gurung-López, S., Herranz, D., Huertas-Company, M., Irwin, J. A., Izquierdo-Villalba, D., Kanaan, A., Kehrig, C., Kirkpatrick, C. C., Lim, J., Lopes, A. R., de Oliveira, R. Lopes, Marcos-Caballero, A., Martínez-Delgado, D., Martínez-González, E., Martínez-Somonte, G., Oliveira, N., Orsi, A. A., Overzier, R. A., Penna-Lima, M., Reis, R. R. R., Spinoso, D., Tsujikawa, S., Vielva, P., Vitorelli, A. Z., Xia, J. Q., Yuan, H. B., Arroyo-Polonio, A., Dantas, M. L. L., Galarza, C. A., Gonçalves, D. R., Gonçalves, R. S., Gonzalez, J. E., Gonzalez, A. H., Greisel, N., Landim, R. G., Lazzaro, D., Magris, G., Monteiro-Oliveira, R., Pereira, C. B., Rebouças, M. J., Rodriguez-Espinosa, J. M., da Costa, S. Santos, and Telles, E.
Abstract: The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will soon start to scan thousands of square degrees of the northern extragalactic sky with a unique set of $56$ optical filters from a dedicated $2.55$m telescope, JST, at the Javalambre Astrophysical Observatory. Before the arrival of the final instrument (a 1.2 Gpixels, 4.2deg$^2$ field-of-view camera), the JST was equipped with an interim camera (JPAS-Pathfinder), composed of one CCD with a 0.3deg$^2$ field-of-view and resolution of 0.23 arcsec pixel$^{-1}$. To demonstrate the scientific potential of J-PAS, with the JPAS-Pathfinder camera we carried out a survey on the AEGIS field (along the Extended Groth Strip), dubbed miniJPAS. We observed a total of $\sim 1$ deg$^2$, with the $56$ J-PAS filters, which include $54$ narrow band (NB, $\rm{FWHM} \sim 145$Angstrom) and two broader filters extending to the UV and the near-infrared, complemented by the $u,g,r,i$ SDSS broad band (BB) filters. In this paper we present the miniJPAS data set, the details of the catalogues and data access, and illustrate the scientific potential of our multi-band data. The data surpass the target depths originally planned for J-PAS, reaching $\rm{mag}_{\rm {AB}}$ between $\sim 22$ and $23.5$ for the NB filters and up to $24$ for the BB filters ($5\sigma$ in a $3$~arcsec aperture). The miniJPAS primary catalogue contains more than $64,000$ sources extracted in the $r$ detection band with forced photometry in all other bands. We estimate the catalogue to be complete up to $r=23.6$ for point-like sources and up to $r=22.7$ for extended sources. Photometric redshifts reach subpercent precision for all sources up to $r=22.5$, and a precision of $\sim 0.3$% for about half of the sample. (Abridged), Comment: The miniJPAS data and associated value added catalogues are publicly accessible via this url: http://archive.cefca.es/catalogues/minijpas-pdr201912
Published: 2020
Full Text: View/download PDF

39. J-PLUS: Tools to identify compact planetary nebulae in the Javalambre and southern photometric local universe surveys

Author: Gutiérrez-Soto, L. A., Gonçalves, D. R., Akras, S., Cortesi, A., López-Sanjuan, C., Guerrero, M. A., Daflon, S., Fernandes, M. Borges, Oliveira, C. Mendes de, Ederoclite, A., Jr, L. Sodré, Pereira, C. B., Kanaan, A., Werle, A., Ramió, H. Vázquez, Alcaniz, J. S., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Varela, J., Ribeiro, T., Schoenell, W., Alvarez-Candal, A., Galbany, L., Jiménez-Esteban, F. M., Logroño-García, R., Sobral, D., Gutiérrez-Soto, L. A., Gonçalves, D. R., Akras, S., Cortesi, A., López-Sanjuan, C., Guerrero, M. A., Daflon, S., Fernandes, M. Borges, Oliveira, C. Mendes de, Ederoclite, A., Jr, L. Sodré, Pereira, C. B., Kanaan, A., Werle, A., Ramió, H. Vázquez, Alcaniz, J. S., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Varela, J., Ribeiro, T., Schoenell, W., Alvarez-Candal, A., Galbany, L., Jiménez-Esteban, F. M., Logroño-García, R., and Sobral, D.
Abstract: From the approximately $\sim$3,500 planetary nebulae (PNe) discovered in our Galaxy, only 14 are known to be members of the Galactic halo. Nevertheless, a systematic search for halo PNe has never been performed. In this study, we present new photometric diagnostic tools to identify compact PNe in the Galactic halo by making use of the novel 12-filter system projects, J-PLUS (Javalambre Photometric Local Universe Survey) and S-PLUS (Southern-Photometric Local Universe Survey). We reconstructed the IPHAS (Isaac Newton Telescope (INT) Photometric H${\alpha}$ Survey of the Northern Galactic Plane) diagnostic diagram and propose four new ones using i) the J-PLUS and S-PLUS synthetic photometry for a grid of photo-ionisation models of halo PNe, ii) several observed halo PNe, as well as iii) a number of other emission-line objects that resemble PNe. All colour-colour diagnostic diagrams are validated using two known halo PNe observed by J-PLUS during the scientific verification phase and the first data release (DR1) of S-PLUS and the DR1 of J-PLUS. By applying our criteria to the DR1s ($\sim$1,190 deg$^2$), we identified one PN candidate. However, optical follow-up spectroscopy proved it to be a H II region belonging to the UGC 5272 galaxy. Here, we also discuss the PN and two H II galaxies recovered by these selection criteria. Finally, the cross-matching with the most updated PNe catalogue (HASH) helped us to highlight the potential of these surveys, since we recover all the known PNe in the observed area. The tools here proposed to identify PNe and separate them from their emission-line contaminants proved to be very efficient thanks to the combination of many colours, even when applied -like in the present work- to an automatic photometric search that is limited to compact PNe.
Published: 2020

40. The miniJPAS survey: star-galaxy classification using machine learning

Author: Baqui, P. O., Marra, V., Casarini, L., Angulo, R., Díaz-García, L. A., Hernández-Monteagudo, C., Lopes, P. A. A., López-Sanjuan, C., Muniesa, D., Placco, V. M., Quartin, M., Queiroz, C., Sobral, D., Solano, E., Tempel, E., Varela, J., Vílchez, J. M., Abramo, R., Alcaniz, J., Benitez, N., Bonoli, S., Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, D., de Amorim, A. L., de Oliveira, C. M., Dupke, R., Ederoclite, A., Delgado, R. M. González, Marín-Franch, A., Moles, M., Ramió, H. Vázquez, Sodré, L., Taylor, K., Baqui, P. O., Marra, V., Casarini, L., Angulo, R., Díaz-García, L. A., Hernández-Monteagudo, C., Lopes, P. A. A., López-Sanjuan, C., Muniesa, D., Placco, V. M., Quartin, M., Queiroz, C., Sobral, D., Solano, E., Tempel, E., Varela, J., Vílchez, J. M., Abramo, R., Alcaniz, J., Benitez, N., Bonoli, S., Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, D., de Amorim, A. L., de Oliveira, C. M., Dupke, R., Ederoclite, A., Delgado, R. M. González, Marín-Franch, A., Moles, M., Ramió, H. Vázquez, Sodré, L., and Taylor, K.
Abstract: Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work, we analyze the miniJPAS survey, which observed about 1 deg2 of the AEGIS field with 56 narrow-band filters and 4 ugri broad-band filters. We discuss the classification of miniJPAS sources into extended (galaxies) and point-like (e.g. stars) objects, a necessary step for the subsequent scientific analyses. We aim at developing an ML classifier that is complementary to traditional tools based on explicit modeling. In order to train and test our classifiers, we crossmatched the miniJPAS dataset with SDSS and HSC-SSP data. We trained and tested 6 different ML algorithms on the two crossmatched catalogs. As input for the ML algorithms we use the magnitudes from the 60 filters together with their errors, with and without the morphological parameters. We also use the mean PSF in the r detection band for each pointing. We find that the RF and ERT algorithms perform best in all scenarios. When analyzing the full magnitude range of 1521). We use our best classifiers, with and without morphology, in order to produce a value added catalog available at https://j-pas.org/datareleases ., Comment: 19 pages, 17 figures. New Appendices E & F and improved discussion. VAC available at https://j-pas.org/datareleases . Trained models available at https://github.com/J-PAS-collaboration/StarGalClass-MachineLearning . Abstract abridged to meet arXiv requirements. Version accepted for publication in A&A
Published: 2020
Full Text: View/download PDF

41. The miniJPAS survey: a preview of the Universe in 56 colours

Author: Bonoli, S., Marín-Franch, A., Varela, J., Ramió, H. Vázquez, Abramo, L. R., Cenarro, A. J., Dupke, R. A., Vílchez, J. M., Cristóbal-Hornillos, D., Delgado, R. M. González, Hernández-Monteagudo, C., López-Sanjuan, C., Muniesa, D. J., Civera, T., Ederoclite, A., Hernán-Caballero, A., Marra, V., Baqui, P. O., Cortesi, A., Cypriano, E. S., Daflon, S., de Amorim, A. L., Díaz-García, L. A., Diego, J. M., Martínez-Solaeche, G., Pérez, E., Placco, V. M., Prada, F., Queiroz, C., Alcaniz, J., Alvarez-Candal, A., Cepa, J., Maroto, A. L., Roig, F., Siffert, B. B., Taylor, K., Benitez, N., Moles, M., Sodré Jr., L., Carneiro, S., de Oliveira, C. Mendes, Abdalla, E., Angulo, R. E., Resco, M. Aparicio, Balaguera-Antolínez, A., Ballesteros, F. J., Brito-Silva, D., Broadhurst, T., Carrasco, E. R., Castro, T., Fernandes, R. Cid, Coelho, P., de Melo, R. B., Doubrawa, L., Fernandez-Soto, A., Ferrari, F., Finoguenov, A., García-Benito, R., Iglesias-Páramo, J., Jiménez-Teja, Y., Kitaura, F. S., Laur, J., Lopes, P. A. A., Lucatelli, G., Martínez, V. J., Maturi, M., Quartin, M., Pigozzo, C., Rodrìguez-Martìn, J. E., Salzano, V., Tamm, A., Tempel, E., Umetsu, K., Valdivielso, L., von Marttens, R., Zitrin, A., Díaz-Martín, M. C., López-Alegre, G., López-Sainz, A., Yanes-Díaz, A., Rueda-Teruel, F., Rueda-Teruel, S., Ibañez, J. Abril, Bravo, J. L Antón, Ferrer, R. Bello, Bielsa, S., Casino, J. M., Castillo, J., Chueca, S., Cuesta, L., Calderaro, J. Garzarán, Iglesias-Marzoa, R., Íniguez, C., Gutierrez, J. L. Lamadrid, Lopez-Martinez, F., Lozano-Pérez, D., Sacristán, N. Maícas, Molina-Ibáñez, E. L., Moreno-Signes, A., Llano, S. Rodríguez, Navarro, M. Royo, Rua, V. Tilve, Andrade, U., Alfaro, E. J., Akras, S., Arnalte-Mur, P., Ascaso, B., Barbosa, C. E., Jiménez, J. Beltrán, Benetti, M., Bengaly, C. A. P., Bernui, A., Blanco-Pillado, J. J., Fernandes, M. Borges, Bregman, J. N., Bruzual, G., Calderone, G., Carvano, J. M., Casarini, L., Chies-Santos, A. L, de Carvalho, G. Coutinho, Dimauro, P., Puertas, S. Duarte, Figueruelo, D., González-Serrano, J. I., Guerrero, M. A., Gurung-López, S., Herranz, D., Huertas-Company, M., Irwin, J. A., Izquierdo-Villalba, D., Kanaan, A., Kehrig, C., Kirkpatrick, C. C., Lim, J., Lopes, A. R., de Oliveira, R. Lopes, Marcos-Caballero, A., Martínez-Delgado, D., Martínez-González, E., Martínez-Somonte, G., Oliveira, N., Orsi, A. A., Overzier, R. A., Penna-Lima, M., Reis, R. R. R., Spinoso, D., Tsujikawa, S., Vielva, P., Vitorelli, A. Z., Xia, J. Q., Yuan, H. B., Arroyo-Polonio, A., Dantas, M. L. L., Galarza, C. A., Gonçalves, D. R., Gonçalves, R. S., Gonzalez, J. E., Gonzalez, A. H., Greisel, N., Landim, R. G., Lazzaro, D., Magris, G., Monteiro-Oliveira, R., Pereira, C. B., Rebouças, M. J., Rodriguez-Espinosa, J. M., da Costa, S. Santos, Telles, E., Bonoli, S., Marín-Franch, A., Varela, J., Ramió, H. Vázquez, Abramo, L. R., Cenarro, A. J., Dupke, R. A., Vílchez, J. M., Cristóbal-Hornillos, D., Delgado, R. M. González, Hernández-Monteagudo, C., López-Sanjuan, C., Muniesa, D. J., Civera, T., Ederoclite, A., Hernán-Caballero, A., Marra, V., Baqui, P. O., Cortesi, A., Cypriano, E. S., Daflon, S., de Amorim, A. L., Díaz-García, L. A., Diego, J. M., Martínez-Solaeche, G., Pérez, E., Placco, V. M., Prada, F., Queiroz, C., Alcaniz, J., Alvarez-Candal, A., Cepa, J., Maroto, A. L., Roig, F., Siffert, B. B., Taylor, K., Benitez, N., Moles, M., Sodré Jr., L., Carneiro, S., de Oliveira, C. Mendes, Abdalla, E., Angulo, R. E., Resco, M. Aparicio, Balaguera-Antolínez, A., Ballesteros, F. J., Brito-Silva, D., Broadhurst, T., Carrasco, E. R., Castro, T., Fernandes, R. Cid, Coelho, P., de Melo, R. B., Doubrawa, L., Fernandez-Soto, A., Ferrari, F., Finoguenov, A., García-Benito, R., Iglesias-Páramo, J., Jiménez-Teja, Y., Kitaura, F. S., Laur, J., Lopes, P. A. A., Lucatelli, G., Martínez, V. J., Maturi, M., Quartin, M., Pigozzo, C., Rodrìguez-Martìn, J. E., Salzano, V., Tamm, A., Tempel, E., Umetsu, K., Valdivielso, L., von Marttens, R., Zitrin, A., Díaz-Martín, M. C., López-Alegre, G., López-Sainz, A., Yanes-Díaz, A., Rueda-Teruel, F., Rueda-Teruel, S., Ibañez, J. Abril, Bravo, J. L Antón, Ferrer, R. Bello, Bielsa, S., Casino, J. M., Castillo, J., Chueca, S., Cuesta, L., Calderaro, J. Garzarán, Iglesias-Marzoa, R., Íniguez, C., Gutierrez, J. L. Lamadrid, Lopez-Martinez, F., Lozano-Pérez, D., Sacristán, N. Maícas, Molina-Ibáñez, E. L., Moreno-Signes, A., Llano, S. Rodríguez, Navarro, M. Royo, Rua, V. Tilve, Andrade, U., Alfaro, E. J., Akras, S., Arnalte-Mur, P., Ascaso, B., Barbosa, C. E., Jiménez, J. Beltrán, Benetti, M., Bengaly, C. A. P., Bernui, A., Blanco-Pillado, J. J., Fernandes, M. Borges, Bregman, J. N., Bruzual, G., Calderone, G., Carvano, J. M., Casarini, L., Chies-Santos, A. L, de Carvalho, G. Coutinho, Dimauro, P., Puertas, S. Duarte, Figueruelo, D., González-Serrano, J. I., Guerrero, M. A., Gurung-López, S., Herranz, D., Huertas-Company, M., Irwin, J. A., Izquierdo-Villalba, D., Kanaan, A., Kehrig, C., Kirkpatrick, C. C., Lim, J., Lopes, A. R., de Oliveira, R. Lopes, Marcos-Caballero, A., Martínez-Delgado, D., Martínez-González, E., Martínez-Somonte, G., Oliveira, N., Orsi, A. A., Overzier, R. A., Penna-Lima, M., Reis, R. R. R., Spinoso, D., Tsujikawa, S., Vielva, P., Vitorelli, A. Z., Xia, J. Q., Yuan, H. B., Arroyo-Polonio, A., Dantas, M. L. L., Galarza, C. A., Gonçalves, D. R., Gonçalves, R. S., Gonzalez, J. E., Gonzalez, A. H., Greisel, N., Landim, R. G., Lazzaro, D., Magris, G., Monteiro-Oliveira, R., Pereira, C. B., Rebouças, M. J., Rodriguez-Espinosa, J. M., da Costa, S. Santos, and Telles, E.
Abstract: The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will soon start to scan thousands of square degrees of the northern extragalactic sky with a unique set of $56$ optical filters from a dedicated $2.55$m telescope, JST, at the Javalambre Astrophysical Observatory. Before the arrival of the final instrument (a 1.2 Gpixels, 4.2deg$^2$ field-of-view camera), the JST was equipped with an interim camera (JPAS-Pathfinder), composed of one CCD with a 0.3deg$^2$ field-of-view and resolution of 0.23 arcsec pixel$^{-1}$. To demonstrate the scientific potential of J-PAS, with the JPAS-Pathfinder camera we carried out a survey on the AEGIS field (along the Extended Groth Strip), dubbed miniJPAS. We observed a total of $\sim 1$ deg$^2$, with the $56$ J-PAS filters, which include $54$ narrow band (NB, $\rm{FWHM} \sim 145$Angstrom) and two broader filters extending to the UV and the near-infrared, complemented by the $u,g,r,i$ SDSS broad band (BB) filters. In this paper we present the miniJPAS data set, the details of the catalogues and data access, and illustrate the scientific potential of our multi-band data. The data surpass the target depths originally planned for J-PAS, reaching $\rm{mag}_{\rm {AB}}$ between $\sim 22$ and $23.5$ for the NB filters and up to $24$ for the BB filters ($5\sigma$ in a $3$~arcsec aperture). The miniJPAS primary catalogue contains more than $64,000$ sources extracted in the $r$ detection band with forced photometry in all other bands. We estimate the catalogue to be complete up to $r=23.6$ for point-like sources and up to $r=22.7$ for extended sources. Photometric redshifts reach subpercent precision for all sources up to $r=22.5$, and a precision of $\sim 0.3$% for about half of the sample. (Abridged), Comment: The miniJPAS data and associated value added catalogues are publicly accessible via this url: http://archive.cefca.es/catalogues/minijpas-pdr201912
Published: 2020
Full Text: View/download PDF

42. J-PLUS: Tools to identify compact planetary nebulae in the Javalambre and southern photometric local universe surveys

Author: Gutiérrez-Soto, L. A., Gonçalves, D. R., Akras, S., Cortesi, A., López-Sanjuan, C., Guerrero, M. A., Daflon, S., Fernandes, M. Borges, de Oliveira, C. Mendes, Ederoclite, A., Sodré Jr, L., Pereira, C. B., Kanaan, A., Werle, A., Ramió, H. Vázquez, Alcaniz, J. S., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Varela, J., Ribeiro, T., Schoenell, W., Alvarez-Candal, A., Galbany, L., Jiménez-Esteban, F. M., Logroño-García, R., Sobral, D., Gutiérrez-Soto, L. A., Gonçalves, D. R., Akras, S., Cortesi, A., López-Sanjuan, C., Guerrero, M. A., Daflon, S., Fernandes, M. Borges, de Oliveira, C. Mendes, Ederoclite, A., Sodré Jr, L., Pereira, C. B., Kanaan, A., Werle, A., Ramió, H. Vázquez, Alcaniz, J. S., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Hernández-Monteagudo, C., Marín-Franch, A., Moles, M., Varela, J., Ribeiro, T., Schoenell, W., Alvarez-Candal, A., Galbany, L., Jiménez-Esteban, F. M., Logroño-García, R., and Sobral, D.
Abstract: From the approximately $\sim$3,500 planetary nebulae (PNe) discovered in our Galaxy, only 14 are known to be members of the Galactic halo. Nevertheless, a systematic search for halo PNe has never been performed. In this study, we present new photometric diagnostic tools to identify compact PNe in the Galactic halo by making use of the novel 12-filter system projects, J-PLUS (Javalambre Photometric Local Universe Survey) and S-PLUS (Southern-Photometric Local Universe Survey). We reconstructed the IPHAS (Isaac Newton Telescope (INT) Photometric H${\alpha}$ Survey of the Northern Galactic Plane) diagnostic diagram and propose four new ones using i) the J-PLUS and S-PLUS synthetic photometry for a grid of photo-ionisation models of halo PNe, ii) several observed halo PNe, as well as iii) a number of other emission-line objects that resemble PNe. All colour-colour diagnostic diagrams are validated using two known halo PNe observed by J-PLUS during the scientific verification phase and the first data release (DR1) of S-PLUS and the DR1 of J-PLUS. By applying our criteria to the DR1s ($\sim$1,190 deg$^2$), we identified one PN candidate. However, optical follow-up spectroscopy proved it to be a H II region belonging to the UGC 5272 galaxy. Here, we also discuss the PN and two H II galaxies recovered by these selection criteria. Finally, the cross-matching with the most updated PNe catalogue (HASH) helped us to highlight the potential of these surveys, since we recover all the known PNe in the observed area. The tools here proposed to identify PNe and separate them from their emission-line contaminants proved to be very efficient thanks to the combination of many colours, even when applied -like in the present work- to an automatic photometric search that is limited to compact PNe., Comment: 12 pages, 10 figures, accepted for publication at A&A
Published: 2019
Full Text: View/download PDF

43. J-PAS: forecasts on dark energy and modified gravity theories

Author: Resco, Miguel Aparicio, Maroto, Antonio L., Alcaniz, Jailson S., Abramo, L. Raul, Hernández-Monteagudo, C., Benítez, N., Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., López-Sanjuan, C., Marín-Franch, A., Moles, M., Oliveira, C. M., Sodré Jr, L., Taylor, K., Varela, J., Ramió, H. Vázquez, Resco, Miguel Aparicio, Maroto, Antonio L., Alcaniz, Jailson S., Abramo, L. Raul, Hernández-Monteagudo, C., Benítez, N., Carneiro, S., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., López-Sanjuan, C., Marín-Franch, A., Moles, M., Oliveira, C. M., Sodré Jr, L., Taylor, K., Varela, J., and Ramió, H. Vázquez
Abstract: The next generation of galaxy surveys will allow us to test one of the most fundamental assumptions of the standard cosmology, i.e., that gravity is governed by the general theory of relativity (GR). In this paper we investigate the ability of the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) to constrain GR and its extensions. Based on the J-PAS information on clustering and gravitational lensing, we perform a Fisher matrix forecast on the effective Newton constant, $\mu$, and the gravitational slip parameter, $\eta$, whose deviations from unity would indicate a breakdown of GR. Similar analysis is also performed for the DESI and Euclid surveys and compared to J-PAS with two configurations providing different areas, namely an initial expectation with 4000 $\mathrm{deg}^2$ and the future best case scenario with 8500 $\mathrm{deg}^2$. We show that J-PAS will be able to measure the parameters $\mu$ and $\eta$ at a sensitivity of $2\% - 7\%$, and will provide the best constraints in the interval $z = 0.3 - 0.6$, thanks to the large number of ELGs detectable in that redshift range. We also discuss the constraining power of J-PAS for dark energy models with a time-dependent equation-of-state parameter of the type $w(a)=w_0+w_a(1-a)$, obtaining $\Delta w_0=0.058$ and $\Delta w_a=0.24$ for the absolute errors of the dark energy parameters.
Published: 2019
Full Text: View/download PDF

44. J-PLUS: the impact of bars on quenching time-scales in nearby green valley disc galaxies

Author: Nogueira-Cavalcante, J. P., Dupke, R., Coelho, P., Dantas, M. L. L., Gonçalves, T. S., Menéndez-Delmestre, K., de Oliveira, R. Lopes, Jiménez-Teja, Y., López-Sanjuan, C., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., Ederoclite, A., Marín-Franch, A., de Oliveira, C. Mendes, Moles, M., Sodré Jr., L., Varela, J., Ramió, H. Vázquez, Alvarez-Candal, A., Chies-Santos, A., Díaz-Garcia, R., Galbany, L., Hernandez-Jimenez, J., Sánchez-Blázquez, P., Sánchez-Portal, M., Sobral, D., Telles, E., Tempel, E., Nogueira-Cavalcante, J. P., Dupke, R., Coelho, P., Dantas, M. L. L., Gonçalves, T. S., Menéndez-Delmestre, K., de Oliveira, R. Lopes, Jiménez-Teja, Y., López-Sanjuan, C., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., Ederoclite, A., Marín-Franch, A., de Oliveira, C. Mendes, Moles, M., Sodré Jr., L., Varela, J., Ramió, H. Vázquez, Alvarez-Candal, A., Chies-Santos, A., Díaz-Garcia, R., Galbany, L., Hernandez-Jimenez, J., Sánchez-Blázquez, P., Sánchez-Portal, M., Sobral, D., Telles, E., and Tempel, E.
Abstract: In a framework where galaxies mostly migrate on the colour-magnitude diagram from star-forming to quiescent, the green valley is considered a transitional galaxy stage. The details of the processes that drive galaxies from star-forming to passive systems still remain unknown. We developed a method that estimates empirically the star formation quenching times-scales of green valley galaxies, assuming an exponential decay model of the SFH and through a combination of narrow and broad bands from J-PLUS and GALEX. We correlate these quenching time-scales with the presence of bars. We find that the J-PLUS colours F0395-g and F0415-g are sensitive to different SFH, showing, a clear correlation with the Dn(4000) and H-delta,A spectral indices. We find that quenching time-scales obtained with our new approach are in agreement with those determined using spectral indices. We also find that galaxies with high bar probability tend to quench their star formation slowly. We conclude that: 1) J-PLUS filters can be used to measure quenching timescales in nearby green valley galaxies; and 2) the resulting star formation quenching time-scales are longer for barred green valley galaxies. Considering that the presence of a bar indicates that more violent processes (e.g., major mergers) are absent in host galaxies, we conclude that the presence of a bar can be used as a morphological signature for slow star formation quenching., Comment: 14 pages, 17 figures, accepted by Astronomy and Astrophysics
Published: 2019
Full Text: View/download PDF

45. J-PLUS: photometric calibration of large area multi-filter surveys with stellar and white dwarf loci

Author: López-Sanjuan, C., Varela, J., Cristóbal-Hornillos, D., Ramió, H. Vázquez, Carrasco, J. M., Tremblay, P. -E., Whitten, D. D., Placco, V. M., Marín-Franch, A., Cenarro, A. J., Ederoclite, A., Alfaro, E., Coelho, P. R. T., Jiménez-Esteban, F. M., Jiménez-Teja, Y., Apellániz, J. Maíz, Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Hernández-Monteagudo, C., de Oliveira, C. L. Mendes, Moles, M., Sodré Jr, L., López-Sanjuan, C., Varela, J., Cristóbal-Hornillos, D., Ramió, H. Vázquez, Carrasco, J. M., Tremblay, P. -E., Whitten, D. D., Placco, V. M., Marín-Franch, A., Cenarro, A. J., Ederoclite, A., Alfaro, E., Coelho, P. R. T., Jiménez-Esteban, F. M., Jiménez-Teja, Y., Apellániz, J. Maíz, Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Hernández-Monteagudo, C., de Oliveira, C. L. Mendes, Moles, M., and Sodré Jr, L.
Abstract: We present the photometric calibration of the twelve optical passbands observed by the Javalambre Photometric Local Universe Survey (J-PLUS). The proposed calibration method has four steps: (i) definition of a high-quality set of calibration stars using Gaia information and available 3D dust maps; (ii) anchoring of the J-PLUS gri passbands to the Pan-STARRS photometric solution, accounting for the variation of the calibration with the position of the sources on the CCD; (iii) homogenization of the photometry in the other nine J-PLUS filters using the dust de-reddened instrumental stellar locus in (X - r) versus (g - i) colours, where X is the filter to calibrate. The zero point variation along the CCD in these filters was estimated with the distance to the stellar locus. Finally, (iv) the absolute colour calibration was obtained with the white dwarf locus. We performed a joint Bayesian modelling of eleven J-PLUS colour-colour diagrams using the theoretical white dwarf locus as reference. This provides the needed offsets to transform instrumental magnitudes to calibrated magnitudes outside the atmosphere. The uncertainty of the J-PLUS photometric calibration, estimated from duplicated objects observed in adjacent pointings and accounting for the absolute colour and flux calibration errors, are ~19 mmag in u, J0378 and J0395, ~11 mmag in J0410 and J0430, and ~8 mmag in g, J0515, r, J0660, i, J0861, and z. We present an optimized calibration method for the large area multi-filter J-PLUS project, reaching 1-2% accuracy within an area of 1 022 square degrees without the need for long observing calibration campaigns or constant atmospheric monitoring. The proposed method will be adapted for the photometric calibration of J-PAS, that will observe several thousand square degrees with 56 narrow optical filters., Comment: Submitted to Astronomy and Astrophysics. 14 figures, 5 tables. Comments are welcome. Extra information about the photometry update can be found at www.j-plus.es/datareleases/dr1_swdl_calibration
Published: 2019
Full Text: View/download PDF

46. J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools

Author: Solano, E., Martín, E. L., Caballero, J. A., Rodrigo, C., Angulo, R. E., Alcaniz, J., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Jiménez-Esteban, F., Hernandez-Jimenez, J. A., Hernández-Monteagudo, C., de Oliveira, R. Lopes, López-Sanjuan, C., Marín-Franch, A., de Oliveira, C. Mendes, Moles, M., Orsi, A., Sobral, D., Sodré Jr., L., Varela, J., Ramió, H. Vázquez, Solano, E., Martín, E. L., Caballero, J. A., Rodrigo, C., Angulo, R. E., Alcaniz, J., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Jiménez-Esteban, F., Hernandez-Jimenez, J. A., Hernández-Monteagudo, C., de Oliveira, R. Lopes, López-Sanjuan, C., Marín-Franch, A., de Oliveira, C. Mendes, Moles, M., Orsi, A., Sobral, D., Sodré Jr., L., Varela, J., and Ramió, H. Vázquez
Abstract: Ultracool dwarfs (UCDs) are objects with spectral types equal or later than M7. Most of them have been discovered using wide-field imaging surveys. The Virtual Observatory (VO) has proven to be of great utility to efficiently exploit these astronomical resources. We aim to validate a VO methodology designed to discover and characterize UCDs in the J-PLUS photometric survey. J-PLUS is a multiband survey carried out with the wide angle T80Cam optical camera mounted on the 0.83-m telescope JAST/T80 in the Observatorio Astrof\'isico de Javalambre. In this work we make use of the Internal Data Release (IDR) covering 528 deg$^2$. We complement J-PLUS photometry with other catalogues in the optical and IR using VOSA, a VO tool that estimates physical parameters from the spectral energy distribution fitting to collections of theoretical models. Objects identified as UCDs are distinguished from background M giants and highly reddened stars using parallaxes and proper motions from Gaia DR2. We identify 559 UCDs, ranging from i=16.2 to 22.4 mag, of which 187 are candidate UCDs not previously reported in the literature. This represents an increase in the number of known UCDs of about 50% in the studied region of the sky, particularly at the faint end of our sensitivity, which is interesting as reference for future wide and deep surveys such as Euclid. Three candidates constitute interesting targets for exoplanet surveys because of their proximity (<40 pc). We also analyze the kinematics of UCDs in our catalogue and find evidence that it is consistent with a Galactic thin-disk population, except for 6 objects that might be members of the thick disk. The results obtained validate the proposed methodology, which will be used in future J-PLUS and J-PAS releases. Considering the region of the sky covered by the IDR used, we foresee to discover 3,000-3,500 new UCDs at the end of the J-PLUS project., Comment: Accepted in A&A
Published: 2019
Full Text: View/download PDF

47. J-PLUS:the impact of bars on quenching time-scales in nearby green valley disc galaxies

Author: Nogueira-Cavalcante, J. P., Dupke, R., Coelho, P., Dantas, M. L. L., Gonçalves, T. S., Menéndez-Delmestre, K., Oliveira, R. Lopes de, Jiménez-Teja, Y., López-Sanjuan, C., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., Ederoclite, A., Marín-Franch, A., Oliveira, C. Mendes de, Moles, M., Jr, L. Sodré, Varela, J., Ramió, H. Vázquez, Alvarez-Candal, A., Chies-Santos, A., Díaz-Garcia, R., Galbany, L., Hernandez-Jimenez, J., Sánchez-Blázquez, P., Sánchez-Portal, M., Sobral, D., Telles, E., Tempel, E., Nogueira-Cavalcante, J. P., Dupke, R., Coelho, P., Dantas, M. L. L., Gonçalves, T. S., Menéndez-Delmestre, K., Oliveira, R. Lopes de, Jiménez-Teja, Y., López-Sanjuan, C., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., Ederoclite, A., Marín-Franch, A., Oliveira, C. Mendes de, Moles, M., Jr, L. Sodré, Varela, J., Ramió, H. Vázquez, Alvarez-Candal, A., Chies-Santos, A., Díaz-Garcia, R., Galbany, L., Hernandez-Jimenez, J., Sánchez-Blázquez, P., Sánchez-Portal, M., Sobral, D., Telles, E., and Tempel, E.
Abstract: In a framework where galaxies mostly migrate on the colour-magnitude diagram from star-forming to quiescent, the green valley is considered a transitional galaxy stage. The details of the processes that drive galaxies from star-forming to passive systems still remain unknown. We developed a method that estimates empirically the star formation quenching times-scales of green valley galaxies, assuming an exponential decay model of the SFH and through a combination of narrow and broad bands from J-PLUS and GALEX. We correlate these quenching time-scales with the presence of bars. We find that the J-PLUS colours F0395-g and F0415-g are sensitive to different SFH, showing, a clear correlation with the Dn(4000) and H-delta,A spectral indices. We find that quenching time-scales obtained with our new approach are in agreement with those determined using spectral indices. We also find that galaxies with high bar probability tend to quench their star formation slowly. We conclude that: 1) J-PLUS filters can be used to measure quenching timescales in nearby green valley galaxies; and 2) the resulting star formation quenching time-scales are longer for barred green valley galaxies. Considering that the presence of a bar indicates that more violent processes (e.g., major mergers) are absent in host galaxies, we conclude that the presence of a bar can be used as a morphological signature for slow star formation quenching.
Published: 2019

48. J-PLUS:Photometric calibration of large area multi-filter surveys with stellar and white dwarf loci

Author: López-Sanjuan, C., Varela, J., Cristóbal-Hornillos, D., Ramió, H. Vázquez, Carrasco, J. M., Tremblay, P. -E., Whitten, D. D., Placco, V. M., Marín-Franch, A., Cenarro, A. J., Ederoclite, A., Alfaro, E., Coelho, P. R. T., Jiménez-Esteban, F. M., Jiménez-Teja, Y., Apellániz, J. Maíz, Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Hernández-Monteagudo, C., Oliveira, C. L. Mendes de, Moles, M., Jr, L. Sodré, López-Sanjuan, C., Varela, J., Cristóbal-Hornillos, D., Ramió, H. Vázquez, Carrasco, J. M., Tremblay, P. -E., Whitten, D. D., Placco, V. M., Marín-Franch, A., Cenarro, A. J., Ederoclite, A., Alfaro, E., Coelho, P. R. T., Jiménez-Esteban, F. M., Jiménez-Teja, Y., Apellániz, J. Maíz, Sobral, D., Vílchez, J. M., Alcaniz, J., Angulo, R. E., Dupke, R. A., Hernández-Monteagudo, C., Oliveira, C. L. Mendes de, Moles, M., and Jr, L. Sodré
Abstract: We present the photometric calibration of the twelve optical passbands observed by the Javalambre Photometric Local Universe Survey (J-PLUS). The proposed calibration method has four steps: (i) definition of a high-quality set of calibration stars using Gaia information and available 3D dust maps; (ii) anchoring of the J-PLUS gri passbands to the Pan-STARRS photometric solution, accounting for the variation of the calibration with the position of the sources on the CCD; (iii) homogenization of the photometry in the other nine J-PLUS filters using the dust de-reddened instrumental stellar locus in (X - r) versus (g - i) colours, where X is the filter to calibrate. The zero point variation along the CCD in these filters was estimated with the distance to the stellar locus. Finally, (iv) the absolute colour calibration was obtained with the white dwarf locus. We performed a joint Bayesian modelling of eleven J-PLUS colour-colour diagrams using the theoretical white dwarf locus as reference. This provides the needed offsets to transform instrumental magnitudes to calibrated magnitudes outside the atmosphere. The uncertainty of the J-PLUS photometric calibration, estimated from duplicated objects observed in adjacent pointings and accounting for the absolute colour and flux calibration errors, are ~19 mmag in u, J0378 and J0395, ~11 mmag in J0410 and J0430, and ~8 mmag in g, J0515, r, J0660, i, J0861, and z. We present an optimized calibration method for the large area multi-filter J-PLUS project, reaching 1-2% accuracy within an area of 1 022 square degrees without the need for long observing calibration campaigns or constant atmospheric monitoring. The proposed method will be adapted for the photometric calibration of J-PAS, that will observe several thousand square degrees with 56 narrow optical filters.
Published: 2019

49. J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools

Author: Solano, E., Martín, E. L., Caballero, J. A., Rodrigo, C., Angulo, R. E., Alcaniz, J., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Jiménez-Esteban, F., Hernandez-Jimenez, J. A., Hernández-Monteagudo, C., Oliveira, R. Lopes de, López-Sanjuan, C., Marín-Franch, A., Oliveira, C. Mendes de, Moles, M., Orsi, A., Sobral, D., Jr, L. Sodré, Varela, J., Ramió, H. Vázquez, Solano, E., Martín, E. L., Caballero, J. A., Rodrigo, C., Angulo, R. E., Alcaniz, J., Cenarro, A. J., Cristóbal-Hornillos, D., Dupke, R. A., Ederoclite, A., Jiménez-Esteban, F., Hernandez-Jimenez, J. A., Hernández-Monteagudo, C., Oliveira, R. Lopes de, López-Sanjuan, C., Marín-Franch, A., Oliveira, C. Mendes de, Moles, M., Orsi, A., Sobral, D., Jr, L. Sodré, Varela, J., and Ramió, H. Vázquez
Abstract: Ultracool dwarfs (UCDs) are objects with spectral types equal or later than M7. Most of them have been discovered using wide-field imaging surveys. The Virtual Observatory (VO) has proven to be of great utility to efficiently exploit these astronomical resources. We aim to validate a VO methodology designed to discover and characterize UCDs in the J-PLUS photometric survey. J-PLUS is a multiband survey carried out with the wide angle T80Cam optical camera mounted on the 0.83-m telescope JAST/T80 in the Observatorio Astrof\'isico de Javalambre. In this work we make use of the Internal Data Release (IDR) covering 528 deg$^2$. We complement J-PLUS photometry with other catalogues in the optical and IR using VOSA, a VO tool that estimates physical parameters from the spectral energy distribution fitting to collections of theoretical models. Objects identified as UCDs are distinguished from background M giants and highly reddened stars using parallaxes and proper motions from Gaia DR2. We identify 559 UCDs, ranging from i=16.2 to 22.4 mag, of which 187 are candidate UCDs not previously reported in the literature. This represents an increase in the number of known UCDs of about 50% in the studied region of the sky, particularly at the faint end of our sensitivity, which is interesting as reference for future wide and deep surveys such as Euclid. Three candidates constitute interesting targets for exoplanet surveys because of their proximity (
Published: 2019

50. J-PLUS : the impact of bars on quenching time-scales in nearby green valley disc galaxies

Author: Nogueira-Cavalcante, J. P., Dupke, R., Coelho, P., Dantas, M. L. L., Gonçalves, T. S., Menéndez-Delmestre, K., Oliveira, R. Lopes de, Jiménez-Teja, Y., López-Sanjuan, C., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., Ederoclite, A., Marín-Franch, A., Oliveira, C. Mendes de, Moles, M., Jr, L. Sodré, Varela, J., Ramió, H. Vázquez, Alvarez-Candal, A., Chies-Santos, A., Díaz-Garcia, R., Galbany, L., Hernandez-Jimenez, J., Sánchez-Blázquez, P., Sánchez-Portal, M., Sobral, D., Telles, E., Tempel, E., Nogueira-Cavalcante, J. P., Dupke, R., Coelho, P., Dantas, M. L. L., Gonçalves, T. S., Menéndez-Delmestre, K., Oliveira, R. Lopes de, Jiménez-Teja, Y., López-Sanjuan, C., Alcaniz, J., Angulo, R. E., Cenarro, A. J., Cristóbal-Hornillos, D., Hernández-Monteagudo, C., Ederoclite, A., Marín-Franch, A., Oliveira, C. Mendes de, Moles, M., Jr, L. Sodré, Varela, J., Ramió, H. Vázquez, Alvarez-Candal, A., Chies-Santos, A., Díaz-Garcia, R., Galbany, L., Hernandez-Jimenez, J., Sánchez-Blázquez, P., Sánchez-Portal, M., Sobral, D., Telles, E., and Tempel, E.
Abstract: In a framework where galaxies mostly migrate on the colour-magnitude diagram from star-forming to quiescent, the green valley is considered a transitional galaxy stage. The details of the processes that drive galaxies from star-forming to passive systems still remain unknown. We developed a method that estimates empirically the star formation quenching times-scales of green valley galaxies, assuming an exponential decay model of the SFH and through a combination of narrow and broad bands from J-PLUS and GALEX. We correlate these quenching time-scales with the presence of bars. We find that the J-PLUS colours F0395-g and F0415-g are sensitive to different SFH, showing, a clear correlation with the Dn(4000) and H-delta,A spectral indices. We find that quenching time-scales obtained with our new approach are in agreement with those determined using spectral indices. We also find that galaxies with high bar probability tend to quench their star formation slowly. We conclude that: 1) J-PLUS filters can be used to measure quenching timescales in nearby green valley galaxies; and 2) the resulting star formation quenching time-scales are longer for barred green valley galaxies. Considering that the presence of a bar indicates that more violent processes (e.g., major mergers) are absent in host galaxies, we conclude that the presence of a bar can be used as a morphological signature for slow star formation quenching.
Published: 2019

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Publication Year Range

Publication Type

Journal

Database

Publisher

564 results on '"Hernández-Monteagudo, C"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources