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Record W4414080927 · doi:10.18154/rwth-2026-04683

Euclid preparation - LXXVII. The NISP spectroscopy channel: Ground performance and calibration

2025· preprint· en· W4414080927 on OpenAlexaff
W. Gillard, T. Maciaszek, E Prieto, F Grupp, A. Costille, K. Jahnkę, J. D. Clemens, S. Dusini, M. Carle, C. Sirignano, E. Medinaceli, S. Ligori, E. Franceschi, M. Trifoglio, William Bon, R. Barbier, S Ferriol, A. Secroun, N. Auricchio, P Battaglia, C. Bonoli, L. Corcione, F. Hormuth, G. Morgante, R. Toledo-Moreo, L. Valenziano, R. Bender, A. Balestra, Michel Berthé, C. Boderndorf, Anne Bonnefoi, V. Capobianco, R. Casas, H Cho, Franck Ducret, W. A. Holmes, A. Hornstrup, M. Jhabvala, Eric Jullo, R. Kohley, B. Kubik, R. Laureijs, I. Lloro, C. Macabiau, Y Mellier, G. Polenta, A. Renzi, M. Schirmer, G. Seidel, M. Seiffert, G. Sirri, G. Smadja, L. Stančo, Stefanie Wachter, T. Auphan, Ranga‐Ram Chary, Y. Copin, P. Hudelot, F. Torradeflot, P Casenove, M. Frailis, M. Fumana, L. Guzzo, G Mainetti, D. Maino, M. Moresco, R. Scaramella, M. Scodeggio, D. Vibert, Yun Wang, J. Zoubian, N. Aghanim, B. Altieri, A. Amara, S. Andreon, C. Baccigalupi, M Baldi, S. Bardelli, A. Biviano, Andrea Bonchi, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, G Cañas-Herrera, C. Carbone, J. Carretero, Santiago Casas, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, C Colodro-Conde, G. Congedo, L. Conversi, F. Courbin, A. Da Silva, R. da Silva, H. Degaudenzi, G. De Lucia, H. Dole, M. Douspis, F. Dubath, X. Dupac, S. Escoffier, Maximilian Fabricius, M. Farina, R. Farinelli, P. Fosalba, S. Fotopoulou, N. Fourmanoit, P. Franzetti, S. Galeotta, Koshy George, B. Gillis, P Gómez-Álvarez, J Graciá-Carpio, A. Grazian, Henk Hoekstra, E. Keihänen, S. Kermiche, A. Kiessling, M Kümmel, M. Kunz, H. Kurki‐Suonio, P. Liebing, V. Lindholm, E. Maiorano, O. Mansutti, S Marcin, O. Marggraf, K. Markovič, M. Martinelli, N. Martinet, F. Marulli, R. Massey, S. Maurogordato, S. Mei, M. Melchior, M. Meneghetti, E. Merlin, G. Meylan, A. Mora, L. Moscardini, R. Nakajima, C. Neissner, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, M. Poncet, L. Pozzetti, F. Raison, R. Rébolo, Jason Rhodes, G. Riccio, E. Romelli, M. Roncarelli, E. Rossetti, R. P. Saglia, Z. Sakr, D. Sapone, B. Sartoris, Peter Schneider, T. Schrabback, E. Sefusatti, P. Šimon, J Steinwagner, P. Tallada-Crespí, D. Tavagnacco, I. Tereno, Sune Toft, I. Tutusaus, J. Väliviita, T. Vassallo, A. Veropalumbo, J. Weller, A. Zacchei, G. Zamorani, E Zucca, V. Allevato, M. Ballardini, M. Bolzonella, E. Bozzo, C. Burigana, R. Cabanac, A. Cappi, D. Di Ferdinando, L. Gabarra, J Martín-Fleitas, S Matthew, N. Mauri, A Pezzotta, M. Pöntinen, C. Porciani, I Risso, V Scottez, M. Sereno, M. Tenti, Matteo Viel, M. Wiesmann, Y. Akrami, S Anselmi, M Archidiacono, F. Atrio‐Barandela, Daniele Bertacca, M. Béthermin, Alain Blanchard, L Blot, S. Borgani, S Bruton, Antonello Calabrò, B. Camacho Quevedo, F Caro, T. Castro, Y Charles, F Cogato, Simon Conseil, O. Cucciati, S. Davini, F. De Paolis, G. Desprez, A. Díaz‐Sánchez, S. Di Domizio, Paola Dimauro, A Enia, A. Finoguenov, A Franco, K. Ganga, J. García-Bellido, V Gautard, E. Gaztañaga, F. Giacomini, F. Gianotti, G. Gozaliasl, A. Gregorio, María Guidi, A Hall, Shoubaneh Hemmati, C. Hernández-Monteagudo, H. Hildebrandt, J. Hjorth, Y Kang, V. Kansal, D. Karagiannis, K. Kiiveri, Sergey Kruk, L. Legrand, Maria Lembo, Fabio Lepori, G. Leroy, J. Lesgourgues, Luca Leuzzi, A. Loureiro, J. F. Macías–Pérez, G. Maggio, M. Magliocchetti, C. Mancini, F. Mannucci, L. Maurin, M Miluzio, Pierluigi Monaco, A Montoro, Claudio Moretti, S. Nadathur, Kovin Naidoo, A Navarro-Alsina, F Passalacqua, K. Paterson, L. Patrizii, A Pisani, D. Potter, S Quai, M. Radovich, S Sacquegna, M Sahlén, E Sarpa, Aurel Schneider, D Sciotti, Elena Sellentin, K Tanidis, C. Tao, G. Testera, Romain Teyssier, S. Tosi, A. Troja, C Valieri, A. Venhola, D. Vergani, G Verza, L. Zalesky

Bibliographic record

VenueArXiv.org · 2025
Typepreprint
Languageen
FieldDecision Sciences
TopicScientific Measurement and Uncertainty Evaluation
Canadian institutionsPerimeter InstituteUniversity of Waterloo
FundersFundação para a Ciência e a TecnologiaNorsk RomsenterAgenția Spațială RomânăNational Astronomical Observatory of JapanAgenzia Spaziale ItalianaMagyar Tudományos AkadémiaEuropean Space AgencyMinisterio de Ciencia, Innovación y UniversidadesNational Aeronautics and Space Administration
KeywordsGrismPhotometerSpectroscopyCalibrationSpectrometerDispersion (optics)Spectral resolutionWavelengthRange (aeronautics)

Abstract

fetched live from OpenAlex

ESA's Euclid cosmology mission relies on the very sensitive and accurately calibrated spectroscopy channel of the Near-Infrared Spectrometer and Photometer (NISP). With three operational grisms in two wavelength intervals, NISP provides diffraction-limited slitless spectroscopy over a field of $0.57$ deg$^2$. A blue grism $\text{BG}_\text{E}$ covers the wavelength range $926$--$1366$\,nm at a spectral resolution $R=440$--$900$ for a $0.5''$ diameter source with a dispersion of $1.24$ nm px$^{-1}$. Two red grisms $\text{RG}_\text{E}$ span $1206$ to $1892$\,nm at $R=550$--$740$ and a dispersion of $1.37$ nm px$^{-1}$. We describe the construction of the grisms as well as the ground testing of the flight model of the NISP instrument where these properties were established.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.278
GPT teacher head0.420
Teacher spread0.142 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractyes

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