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ANDES, the high resolution spectrograph for the ELT: science goals, project overview, and future developments
A. Marconi, Artur R. Abreu, V. Adibekyan, Valentina Alberti, Simon Albrecht, J. S. Alcaniz, Matteo Aliverti, Carlos Allende Prieto, Julián D. Alvarado‐Gómez, Catarina S. Alves, P. J. Amado, M. Amate, M. I. Andersen, S. Antoniucci, Étienne Artigau, Christophe Bailet, Clark Baker, Veronica Baldini, A. Balestra, Sydney A. Barnes, Frédérique Baron, S. C. C. Barros, Svend‐Marian Bauer, Mathilde Beaulieu, Olga Bellido-Tirado, Björn Benneke, T. Bensby, Edwin A. Bergin, P. Bério, K. Biazzo, Laurent Bigot, Arjan Bik, Jayne Birkby, Nicolas Blind, Olivier Boebion, I. Boisse, Émeline Bolmont, James S. Bolton, Marco Bonaglia, X. Bonfıls, Léa Bonhomme, F. Borsa, J.‐C. Bouret, A. Brandeker, W. Brandner, C. Broeg, Matteo Brogi, Denis Brousseau, Anna Brucalassi, Joar Brynnel, Lars A. Buchhave, Lorenzo Cabona, Alexandre Cabral, Giorgio Calderone, Rocío Calvo-Ortega, F. Cantalloube, B. L. Canto Martins, Luca Carbonaro, G. Chauvin, Bruno Chazelas, Anne-Laure Cheffot, Yuk Shan Cheng, A. Chiavassa, L. Christensen, R. Cirami, Michele Cirasuolo, Neil J. Cook, Ryan Cooke, Igor Coretti, S. Covino, Nicolas B. Cowan, G. Cresci, Stefano Cristiani, Vanderlei Cunha Parro, G. Cupani, V. D’Odorico, Kamalesh Dadi, Izan C. de Castro Leão, A. De, J. R. De Medeiros, Florian Debras, Michael Debus, Alain Delorme, O. D. S. Demangeon, F. Dérie, M. Dessauges‐Zavadsky, P. Di Marcantonio, Simona Di Stefano, Frank Dionies, A. Domiciano de Souza, René Doyon, Jennifer Dunn, Sébastien E. Egner, D. Ehrenreich, J. P. Faria, Debora Ferruzzi, C. Feruglio, Martin Fisher, A. Fontana, Boons Frank, C. Fuesslein, Michele Fumagalli, Thierry Fusco, J. P. U. Fynbo, Omar Gabella, Wolfgang Gäessler, Elena Gallo, Xiao Gao, L. Genolet, Matteo Genoni, P. Giacobbe, E. Giro, Rodrigo S. Gonçalves, O. A. González, C. Gouvret, Félix Gracia Témich, Martin G. Haehnelt, C. Haniff, A. Hatzes, Ravit Helled, H. J. Hoeijmakers, I. Hughes, P. Huke, Y. Ivanisenko, Arto Järvinen, S. P. Järvinen, A. Kaminski, Jonathan Kern, J. Knoche, Aron Kordt, H. Korhonen, A. J. Korn, Driss Kouach, Grzegorz Kowzan, Laura Kreidberg, Marco Landoni, Audrey Lanotte, A. Lavail, B. Lavie, D. Lee, Michael Lehmitz, Jiang Li, Wei Li, J. Liske, C. Lovis, S. Lucatello, D. Lunney, Mike MacIntosh, Nikku Madhusudhan, L. Magrini, R. Maiolino, João Victor de Oliveira Maldonado, Lison Malo, Allison W. S. Man, T. Marquart, C. M. J. Marques, E. L. Marques, P. Martinez, Allan Martins, C. J. A. P. Martins, J. H. C. Martins, Piotr Masłowski, Charlotte Mason, E. Mason, Richard A. McCracken, M. A. F. Melo e Sousa, Paweł Mergo, G. Micela, Dinko Milaković, P. Mollière, M. A. Monteiro, David Montgomery, C. Mordasini, J. Morin, A. Mucciarelli, M. T. Murphy, Mamadou N’Diaye, N. Nardetto, Benoît Neichel, N. Néri, A. Niedzielski, E. Niemczura, B. Nisini, L. Nortmann, P. Noterdaeme, N. J. Nunes, Luca Oggioni, François Olchewsky, E. Oliva, Hakan Önel, L. Origlia, Göran Östlin, Nathalie N. -Q. Ouellette, Ε. Πάλλη, P. Papaderos, Giorgio Pariani, Luca Pasquini, J. Peñate Castro, F. Pepe, Céline Péroux, Laurence Perreault-Levasseur, S. Perruchot, P. Petit, O. Pfuhl, Lorenzo Pino, Javier Piqueras, N. Piskunov, A. Pollo, Katja Poppenhaeger, M. Porru, J. Puschnig, Andreas Quirrenbach, Emily Rauscher, R. Rébolo, Edoardo Maria Alberto Redaelli, S. Reffert, Derryck T. Reid, A. Reiners, P Richter, Marco Riva, S. Rivoire, C. López, Ian U. Roederer, D. Romano, M. Roth, S. Rousseau, Jason F. Rowe, A. Saccardi, Stefania Salvadori, N. Sanna, N. C. Santos, P. Santos Díaz, J. Sanz‐Forcada, Mirsad Sarajlic, Jean-François Sauvage, A. Scaudo, Sebastian Schäfer, Ricardo P. Schiavon, Tobias M. Schmidt, Chiara Selmi, Roberto Simoes, A. Simonnin, Suresh Sivanandam, M. Sordet, R. Sordo, D. Sosnowska, S. G. Sousa, A. Spang, Daniele Spiga, Eric Stempels, Joanne Stevenson, K. G. Strassmeier, A. Suárez Mascareño, Antonio Sulich, X. Sun, N. R. Tanvir, F. Tenegi-Sanginés, Simon Thibault, Sydney Thompson, P. Tisserand, Andrea Tozzi, Martin Turbet, Jean‐Pierre Véran, Philippe Vallée, Irene Vanni, R. Varas, A. Vega-Moreno, Kim A. Venn, Ashok K. Verma, J. Vernet, Matteo Viel, G. A. Wade, C. Waring, M. Weber, Jesse Weder, Bachar Wehbé, J. Weingrill, M. Woche, Marco Xompero, Erik Zackrisson, Alessio Zanutta, Mayra Osorio, M. Zechmeister, Jennifer Zimara
Bibliographic record
Venuenot available
Typearticle
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
FundersBundesministerium für Bildung und ForschungMinisterio de Ciencia e InnovaciónAgencia Estatal de InvestigaciónFundação para a Ciência e a TecnologiaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungIstituto Nazionale di AstrofisicaDeutsches Elektronen-SynchrotronScience and Technology Facilities CouncilEuropean Regional Development FundEuropean CommissionInstituto de Astrofísica de AndalucíaVetenskapsrådetEuropean Space Agency
KeywordsSpectrographComputer scienceResolution (logic)Remote sensingSystems engineeringEngineeringGeographyPhysicsAstronomyArtificial intelligence
Abstract
International audience
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.125
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.037 | 0.062 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.017
GPT teacher head0.261
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations10
Published2024
Admission routes1
Has abstractyes