other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
4FGL J1838.0-5959 , the SIMBAD biblio (25 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST13:56:39 |
Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
---|---|---|---|---|---|---|---|---|---|
1994ApJS...91..111W | 5741 | 324 | The Parkes-MIT-NRAO (PMN) Surveys: II. Source catalog for the Southern Survey (-87deg.5 < delta < -37deg). | WRIGHT A.E., GRIFFITH M.R., BURKE B.F., et al. | |||||
2015ApJS..218...23A | 16 | D | 1 | 3139 | 1411 | Fermi Large Area Telescope third source catalog. | ACERO F., ACKERMANN M., AJELLO M., et al. | ||
2015ApJ...810...14A | 16 | D | 1 | 1898 | 513 | The third catalog of active galactic nuclei detected by the Fermi large area telescope. | ACKERMANN M., AJELLO M., ATWOOD W.B., et al. | ||
2016ApJ...820....8S | 16 | D | 1 | 3046 | 91 | Classification and ranking of Fermi LAT gamma-ray sources from the 3FGL catalog using machine learning techniques. | SAZ PARKINSON P.M., XU H., YU P.L.H., et al. | ||
2016MNRAS.462.3180C | 16 | D | 1 | 576 | 21 | Blazar flaring patterns (B-FlaP) classifying blazar candidate of uncertain type in the third Fermi-LAT catalogue by artificial neural networks. | CHIARO G., SALVETTI D., LA MURA G., et al. | ||
2017A&A...598A..17C | 16 | D | 1 | 1692 | 30 | 2WHSP: A multi-frequency selected catalogue of high energy and very high energy γ-ray blazars and blazar candidates. | CHANG Y.-L., ARSIOLI B., GIOMMI P., et al. | ||
2017A&A...598A.134A | 341 | D | S X C | 7 | 156 | 8 | Searching for γ-ray signature in WHSP blazars. Fermi-LAT detection of 150 excess signal in the 0.3-500 GeV band. | ARSIOLI B. and CHANG Y.-L. | |
2017A&A...602A..86L | 16 | D | 1 | 1082 | 1 | Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. | LEFAUCHEUR J. and PITA S. | ||
2016ATel.8866....1P | 40 | X | 1 | 3 | ~ | A new gamma-ray transient, AGL J1835-6040, detected by AGILE . | PITTORI C., VERRECCHIA F., LUCARELLI F., et al. | ||
2017ApJS..232...18A | 16 | D | 1587 | 263 | 3FHL: the Third Catalog of Hard Fermi-LAT Sources. | AJELLO M., ATWOOD W.B., BALDINI L., et al. | |||
2018RAA....18...56K | 16 | D | 1 | 1421 | 3 | On the intrinsic shape of the gamma-ray spectrum for Fermi blazars. | KANG S.-J., WU Q., ZHENG Y.-G., et al. | ||
2019ApJS..242....4D | 17 | D | 1 | 9560 | 45 | Two new catalogs of blazar candidates in the WISE Infrared sky. | D'ABRUSCO R., ALVAREZ CRESPO N., MASSARO F., et al. | ||
2019A&A...632A..77C | 17 | D | 1 | 2018 | 54 | The 3HSP catalogue of extreme and high-synchrotron peaked blazars. | CHANG Y.-L., ARSIOLI B., GIOMMI P., et al. | ||
2019MNRAS.490.4770K | 17 | D | 1 | 567 | ~ | Optimizing neural network techniques in classifying Fermi-LAT gamma-ray sources. | KOVACEVIC M., CHIARO G., CUTINI S., et al. | ||
2019ApJ...887..134K | 17 | D | 1 | 1313 | ~ | Evaluating the classification of Fermi BCUs from the 4FGL catalog using machine learning. | KANG S.-J., LI E., OU W., et al. | ||
2020MNRAS.493.1926K | 17 | D | 1 | 1330 | ~ | Classification of blazar candidates of uncertain type from the Fermi LAT 8-yr source catalogue with an artificial neural network. | KOVACEVIC M., CHIARO G., CUTINI S., et al. | ||
2020ApJ...891...87K | 17 | D | 1 | 120 | ~ | An empirical "high-confidence" candidate zone for Fermi BL Lacertae objects. | KANG S.-J., ZHU K., FENG J., et al. | ||
2020ApJS..247...33A | 17 | D | 1 | 5180 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
2020ApJ...892..105A | 17 | D | 1 | 3424 | 235 | The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. | AJELLO M., ANGIONI R., AXELSSON M., et al. | ||
2020ApJS..248...23D | 17 | D | 1 | 283 | ~ | On the physical association of Fermi-LAT blazars with their low-energy counterparts. | DE MENEZES R., D'ABRUSCO R., MASSARO F., et al. | ||
2020A&A...643A.103P | 17 | D | 1 | 408 | ~ | Optical spectroscopic observations of low-energy counterparts of Fermi-LAT γ-ray sources. | PENA-HERAZO H.A., AMAYA-ALMAZAN R.A., MASSARO F., et al. | ||
2021MNRAS.505.5853G | 17 | D | 2 | 5840 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
2021A&A...655A..17S | 17 | D | 1 | 338596 | 3 | The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. | STEIN Y., VOLLMER B., BOCH T., et al. | ||
2022ApJS..260...53A | 18 | D | 1 | 6714 | 133 | Incremental Fermi Large Area Telescope Fourth Source Catalog. | ABDOLLAHI S., ACERO F., BALDINI L., et al. | ||
2022ApJS..263...24A | 18 | D | 1 | 3830 | 15 | The Fourth Catalog of Active Galactic Nuclei Detected by the Fermi Large Area Telescope: Data Release 3. | AJELLO M., BALDINI L., BALLET J., et al. |