All Publications


  • The MUSE Target Chamber Post Veto NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT Ratvasky, R., Rostomyan, T., Ali, M., Atac, H., Barchetti, F., Bernauer, J. C., Briscoe, W. J., Ndukwe, A., Cline, E. W., Das, S., Deiters, K., Downie, E. J., Duan, Z., Flannery, A., Foster, M., Friebolin, A., Gantert, M., Gilman, R., Golossanov, A., Guo, J., Hirschman, J., Hofer, A., Ifat, N. S., Ilieva, Y., Jayakodige, D., Krahulik, T., Kohl, M., Lavrukhin, I., Lin, W., Lorenzon, W., MohanMurthy, P., Nicol, M., Paolone, M., Patel, T., Prosnyakov, A., Ransome, R. D., Raymond, R., Reid, H., Reimer, P. E., Richards, R., Ron, G., Ruimi, O. M., Salamone, K., Shrestha, S., Sparveris, N., Strauch, S., Wuerfel, N., Yaari, D. A., Zimmerli, C. 2026; 1090
  • A hybrid neural architecture: Online attosecond x-ray characterization APL MACHINE LEARNING Hirschman, J., Mencer, B., Shackelford, A., Obaid, R., Coffee, R. 2025; 3 (4)

    View details for DOI 10.1063/5.0303050

    View details for Web of Science ID 001621601200001

  • Nonlinear Shaping in the Picosecond Gap ULTRAFAST SCIENCE Lemons, R., Hirschman, J., Zhang, H., Durfee, C., Carbajo, S. 2025; 4
  • Multi-modality deep learning for pulse prediction in homogeneous nonlinear systems via parametric conversion APL PHOTONICS Zhang, H., Sun, L., Hirschman, J., Carbajo, S. 2025; 10 (5)

    View details for DOI 10.1063/5.0252720

    View details for Web of Science ID 001501673900001

  • Optimizing spectral phase transfer in four-wave mixing with gas-filled capillaries OPTICS EXPRESS Zhang, H., Sun, L., Hirschman, J., Shariatdoust, M., Belli, F., Carbajo, S. 2024; 32 (25): 44397-44412

    View details for DOI 10.1364/OE.542590

    View details for Web of Science ID 001380210400004

  • The Linac Coherent Light Source II photoinjector laser infrastructure HIGH POWER LASER SCIENCE AND ENGINEERING Zhang, H., Gilevich, S., Miahnahri, A., Alverson, S., Brachmann, A., Duris, J., Franz, P., Fry, A., Hirschman, J., Larsen, K., Lemons, R., Li, S., Lu, B., Marinelli, A., Martinez, M., May, J., Milshtein, E., Murari, K., Neveu, N., Robinson, J., Schmerge, J., Sun, L., Vecchione, T., Xu, C., Zhou, F., Carbajo, S. 2024; 12
  • Design, tuning, and blackbox optimization of laser systems OPTICS EXPRESS Hirschman, J., Lemons, R., Wang, M., Kroetz, P., Carbajo, S. 2024; 32 (9)

    View details for DOI 10.1364/OE.520542

    View details for Web of Science ID 001235541500002

  • At-the-Edge Data Processing for Low Latency High Throughput Machine Learning Algorithms Hirschman, J., Kamalov, A., Obaid, R., O'Shea, F. H., Coffee, R. N. edited by Doug, K., Al, G., Pophale, S., Liu, H., Parete-Koon , S. SPRINGER INTERNATIONAL PUBLISHING AG. 2022: 101-119
  • Towards Real-time Adaptable Machine Learning-based Photoinjector Shaping Hirschman, J., Lemons, R., Coffee, R., Belli, F., Carbajo, S., IEEE IEEE. 2021
  • Long-term hybrid stabilization of the carrier-envelope phase OPTICS EXPRESS Hirschman, J., Lemons, R., Chansky, E., Steinmeyer, G., Carbajo, S. 2020; 28 (23): 34093–103

    Abstract

    Controlling the carrier envelope phase (CEP) in mode-locked lasers over practically long timescales is crucial for real-world applications in ultrafast optics and precision metrology. We present a hybrid solution that combines a feed-forward technique to stabilize the phase offset in fast timescales and a feedback technique that addresses slowly varying sources of interference and locking bandwidth limitations associated with gain media with long upper-state lifetimes. We experimentally realize the hybrid stabilization system in an Er:Yb:glass mode-locked laser and demonstrate 75 hours of stabilization with integrated phase noise of 14 mrad (1 Hz to 3 MHz), corresponding to around 11 as of carrier to envelope jitter. Additionally, we examine the impact of environmental factors, such as humidity and pressure, on the long-term stability and performance of the system.

    View details for DOI 10.1364/OE.400321

    View details for Web of Science ID 000589869600027

    View details for PubMedID 33182886