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Euclid preparation. Overview of Euclid infrared detector performance from ground tests

This paper details the comprehensive ground-based characterization of Euclid's infrared detectors, confirming that their performance—including low noise, high quantum efficiency, minimal crosstalk, and excellent linearity—meets all mission requirements with fewer than 0.2% non-functioning pixels.

Original authors: Euclid Collaboration, B. Kubik, R. Barbier, J. Clemens, S. Ferriol, A. Secroun, G. Smadja, W. Gillard, N. Fourmanoit, A. Ealet, S. Conseil, J. Zoubian, R. Kohley, J. -C. Salvignol, L. Conversi, T. Mac
Published 2026-03-18
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Original authors: Euclid Collaboration, B. Kubik, R. Barbier, J. Clemens, S. Ferriol, A. Secroun, G. Smadja, W. Gillard, N. Fourmanoit, A. Ealet, S. Conseil, J. Zoubian, R. Kohley, J. -C. Salvignol, L. Conversi, T. Maciaszek, H. Cho, W. Holmes, M. Seiffert, A. Waczynski, S. Wachter, K. Jahnke, F. Grupp, C. Bonoli, L. Corcione, S. Dusini, E. Medinaceli, R. Laureijs, G. D. Racca, A. Bonnefoi, M. Carle, A. Costille, F. Ducret, J-L. Gimenez, D. Le Mignant, L. Martin, L. Caillat, L. Valenziano, N. Auricchio, P. Battaglia, A. Derosa, R. Farinelli, F. Cogato, G. Morgante, M. Trifoglio, V. Capobianco, S. Ligori, E. Borsato, C. Sirignano, L. Stanco, S. Ventura, R. Toledo-Moreo, L. Patrizii, Y. Copin, R. Foltz, E. Prieto, N. Aghanim, B. Altieri, S. Andreon, C. Baccigalupi, M. Baldi, A. Balestra, S. Bardelli, F. Bernardeau, A. Biviano, A. Bonchi, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, G. Cañas-Herrera, C. Carbone, J. Carretero, S. Casas, F. J. Castander, M. Castellano, G. Castignani, S. Cavuoti, K. C. Chambers, A. Cimatti, C. Colodro-Conde, G. Congedo, C. J. Conselice, F. Courbin, H. M. Courtois, A. Da Silva, R. da Silva, H. Degaudenzi, G. De Lucia, A. M. Di Giorgio, H. Dole, M. Douspis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Escoffier, M. Farina, F. Faustini, F. Finelli, S. Fotopoulou, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, B. Gillis, C. Giocoli, J. Gracia-Carpio, B. R. Granett, A. Grazian, L. Guzzo, S. V. H. Haugan, J. Hoar, H. Hoekstra, I. M. Hook, F. Hormuth, A. Hornstrup, P. Hudelot, M. Jhabvala, E. Keihänen, S. Kermiche, A. Kiessling, M. Kümmel, M. Kunz, H. Kurki-Suonio, Q. Le Boulc'h, A. M. C. Le Brun, P. Liebing, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, D. Maino, E. Maiorano, O. Mansutti, S. Marcin, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, R. Massey, S. Maurogordato, H. J. McCracken, S. Mei, M. Melchior, Y. Mellier, M. Meneghetti, E. Merlin, G. Meylan, A. Mora, M. Moresco, P. W. Morris, L. Moscardini, R. Nakajima, C. Neissner, R. C. Nichol, S. -M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. A. Popa, L. Pozzetti, F. Raison, R. Rebolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, E. Rossetti, R. Saglia, Z. Sakr, D. Sapone, B. Sartoris, J. A. Schewtschenko, M. Schirmer, P. Schneider, T. Schrabback, M. Scodeggio, E. Sefusatti, G. Seidel, S. Serrano, P. Simon, G. Sirri, J. Steinwagner, P. Tallada-Crespí, D. Tavagnacco, A. N. Taylor, H. I. Teplitz, I. Tereno, S. Toft, F. Torradeflot, A. Tsyganov, I. Tutusaus, J. Valiviita, T. Vassallo, G. Verdoes Kleijn, A. Veropalumbo, Y. Wang, J. Weller, A. Zacchei, G. Zamorani, F. M. Zerbi, E. Zucca, V. Allevato, M. Ballardini, M. Bolzonella, E. Bozzo, C. Burigana, R. Cabanac, A. Cappi, P. Casenove, D. Di Ferdinando, J. A. Escartin Vigo, L. Gabarra, W. G. Hartley, J. Martín-Fleitas, S. Matthew, N. Mauri, R. B. Metcalf, A. Pezzotta, M. Pöntinen, C. Porciani, I. Risso, V. Scottez, M. Sereno, M. Tenti, M. Viel, M. Wiesmann, Y. Akrami, I. T. Andika, S. Anselmi, M. Archidiacono, F. Atrio-Barandela, D. Bertacca, M. Bethermin, A. Blanchard, L. Blot, S. Borgani, M. L. Brown, S. Bruton, A. Calabro, B. Camacho Quevedo, F. Caro, C. S. Carvalho, T. Castro, Y. Charles, R. Chary, A. R. Cooray, O. Cucciati, S. Davini, F. De Paolis, G. Desprez, A. Díaz-Sánchez, S. Di Domizio, J. M. Diego, P. Dimauro, A. Enia, Y. Fang, A. M. N. Ferguson, A. G. Ferrari, A. Finoguenov, A. Fontana, A. Franco, K. Ganga, J. García-Bellido, T. Gasparetto, V. Gautard, E. Gaztanaga, F. Giacomini, F. Gianotti, G. Gozaliasl, M. Guidi, C. M. Gutierrez, A. Hall, H. Hildebrandt, J. Hjorth, J. J. E. Kajava, Y. Kang, V. Kansal, D. Karagiannis, K. Kiiveri, C. C. Kirkpatrick, S. Kruk, J. Le Graet, L. Legrand, M. Lembo, F. Lepori, G. Leroy, G. F. Lesci, J. Lesgourgues, L. Leuzzi, T. I. Liaudat, A. Loureiro, J. Macias-Perez, G. Maggio, M. Magliocchetti, C. Mancini, F. Mannucci, R. Maoli, C. J. A. P. Martins, L. Maurin, M. Miluzio, P. Monaco, A. Montoro, C. Moretti, C. Murray, S. Nadathur, K. Naidoo, A. Navarro-Alsina, F. Passalacqua, K. Paterson, A. Pisani, D. Potter, S. Quai, M. Radovich, P. -F. Rocci, S. Sacquegna, M. Sahlén, D. B. Sanders, E. Sarpa, A. Schneider, D. Sciotti, E. Sellentin, G. Setnikar, L. C. Smith, K. Tanidis, C. Tao, G. Testera, R. Teyssier, S. Tosi, A. Troja, M. Tucci, C. Valieri, A. Venhola, D. Vergani, G. Verza, J. R. Weaver, L. Zalesky

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine the Euclid mission as a giant, high-tech camera sent into deep space to take a panoramic photo of the entire universe. Its job is to map the invisible "scaffolding" of the cosmos (dark matter) and understand the mysterious force pushing the universe apart (dark energy).

To do this, the camera needs a super-sensitive eye. That eye is the NISP instrument, which uses a grid of 16 infrared detectors (think of them as 16 giant, ultra-sensitive digital sensors). Before Euclid could launch, scientists had to make sure these sensors were perfect. If even a tiny pixel was broken or noisy, it could ruin the picture of the entire universe.

This paper is the final report card for those 16 detectors after they underwent a grueling "stress test" on Earth. Here is what they found, explained simply:

1. The "Stress Test" (Ground Characterisation)

Before the detectors went to space, they were put into a giant, super-cold freezer (a cryostat) that mimicked the harsh environment of space. Scientists didn't just turn them on; they ran thousands of tests, like a mechanic tuning a race car engine.

  • The Analogy: Imagine tuning a piano. You have to adjust every single string (pixel) so that when you press a key, it hits the exact right note without any buzzing or silence. The team spent weeks adjusting the "voltage strings" of these detectors to ensure they were perfectly in tune.

2. The "Bad Apples" (Defective Pixels)

In any digital camera, some pixels might be dead (black spots) or stuck (white spots).

  • The Result: The team found that less than 0.2% of the pixels were "bad."
  • The Metaphor: If you had a stadium full of 40,000 seats (the pixels), fewer than 80 seats would be broken. That is an incredibly clean, high-quality sensor. The broken ones were mapped out so the computer could ignore them later.

3. The "Ghost Images" (Persistence)

Infrared detectors have a weird quirk: if you look at a very bright star, the detector might "remember" that star for a while, even after you look away. This is called persistence.

  • The Analogy: It's like staring at a bright light bulb and then closing your eyes; you still see a ghostly image of the bulb for a few seconds.
  • The Result: The scientists found that this "ghosting" effect was very weak—less than 0.3% of the original brightness. It's like a faint afterimage that fades away quickly, so it won't mess up the photos of faint, distant galaxies.

4. The "Whisper vs. The Shout" (Noise and Sensitivity)

To see distant galaxies, the detector needs to hear a "whisper" (a faint signal) without hearing the "static" (noise) of the electronics.

  • The Result: The detectors are incredibly quiet. They can detect a signal with a "noise level" of only about 7 to 9 electrons (the tiny particles of light).
  • The Metaphor: Imagine trying to hear a single cricket chirping in a library. These detectors can hear that chirp perfectly, even if the library is slightly noisy. They are also very sensitive, capturing over 80% of the light that hits them (Quantum Efficiency).

5. The "Cross-Talk" (Inter-Pixel Capacitance)

Sometimes, when one pixel gets a signal, it accidentally whispers to its neighbor, making the neighbor think it saw something too. This is called crosstalk.

  • The Result: The team found this crosstalk is less than 1%.
  • The Metaphor: It's like a row of people in a theater. If one person laughs, the person next to them might chuckle slightly. But in Euclid's detectors, the "chuckle" is so faint it barely registers, ensuring the picture stays sharp and doesn't get blurry.

6. The "Ruler" (Linearity)

A camera needs to be a fair ruler. If a star is twice as bright, the detector should say it is exactly twice as bright, not 1.5 times or 2.5 times.

  • The Result: The detectors are almost perfectly linear. Even with very bright signals, the error is less than 5%.
  • The Metaphor: If you put 10 apples on a scale, it says 10kg. If you put 20 apples, it says 20kg. It doesn't get confused and say 18kg or 22kg. This is crucial for scientists to calculate exactly how far away a galaxy is.

The Bottom Line

The paper concludes with a resounding "Pass."
The Euclid infrared detectors are ready for space. They are:

  • Clean: Almost no broken pixels.
  • Quiet: Very little electronic noise.
  • Sharp: No blurry crosstalk.
  • Honest: They measure light accurately without distortion.

Thanks to this rigorous "ground test," the Euclid telescope is now equipped with the best possible eyes to take the most detailed map of the universe ever created. The scientists have tuned the instrument so perfectly that when it looks out into the dark, it will see the truth of the cosmos clearly.

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