AcousTools: A 'Full-Stack', Python-Based, Acoustic Holography Library

Fuente: arXiv
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Autores principales: Mukherjee, Joshua, Christopoulos, Giorgos, Shen, Zhouyang, Subramanian, Sriram, Hirayama, Ryuji
Formato: Preprint
Publicado: 2025
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author Mukherjee, Joshua
Christopoulos, Giorgos
Shen, Zhouyang
Subramanian, Sriram
Hirayama, Ryuji
author_facet Mukherjee, Joshua
Christopoulos, Giorgos
Shen, Zhouyang
Subramanian, Sriram
Hirayama, Ryuji
contents Acoustic Holography is an emerging field where mid-air ultrasound is controlled and manipulated for novel and exciting applications. These range from mid-air haptics, volumetric displays, contactless fabrication, and even chemical and biomedical applications such as drug delivery. To develop these applications, a software framework to predict acoustic behaviour and simulating resulting effects, such as applied forces or scattering patterns is desirable. There have been various software libraries and platforms that attempt to fill this role, but there is yet to be a single piece of software that acts as a 'full-stack' solution. We define this full-stack as the process from abstraction to physicalisation starting with setup, modelling acoustic propagation, transducer phase retrieval, sound field analysis, and control of the acoustic holographic hardware itself. Existing methods fail to fulfil one or more of these categories. To address this, we present AcousTools, a Python-based acoustic holography library, designed to support the full suite of acoustic holographic applications and we show AcousTools's ability to meet each step of the full-stack's requirements. AcousTools has the potential to become the standard code library for acoustic holography, with the uniquely complete suite of features wrapped in a language that is known to be easy to use, AcousTools will increase the ability for researchers to develop novel applications as well as accurately review other's work. The full-stack, aside from software, will also be useful for researchers - providing a way to view and compare methodologies by understanding where they fit into the stack.
format Preprint
id arxiv_https___arxiv_org_abs_2511_07336
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle AcousTools: A 'Full-Stack', Python-Based, Acoustic Holography Library
Mukherjee, Joshua
Christopoulos, Giorgos
Shen, Zhouyang
Subramanian, Sriram
Hirayama, Ryuji
Sound
Emerging Technologies
Acoustic Holography is an emerging field where mid-air ultrasound is controlled and manipulated for novel and exciting applications. These range from mid-air haptics, volumetric displays, contactless fabrication, and even chemical and biomedical applications such as drug delivery. To develop these applications, a software framework to predict acoustic behaviour and simulating resulting effects, such as applied forces or scattering patterns is desirable. There have been various software libraries and platforms that attempt to fill this role, but there is yet to be a single piece of software that acts as a 'full-stack' solution. We define this full-stack as the process from abstraction to physicalisation starting with setup, modelling acoustic propagation, transducer phase retrieval, sound field analysis, and control of the acoustic holographic hardware itself. Existing methods fail to fulfil one or more of these categories. To address this, we present AcousTools, a Python-based acoustic holography library, designed to support the full suite of acoustic holographic applications and we show AcousTools's ability to meet each step of the full-stack's requirements. AcousTools has the potential to become the standard code library for acoustic holography, with the uniquely complete suite of features wrapped in a language that is known to be easy to use, AcousTools will increase the ability for researchers to develop novel applications as well as accurately review other's work. The full-stack, aside from software, will also be useful for researchers - providing a way to view and compare methodologies by understanding where they fit into the stack.
title AcousTools: A 'Full-Stack', Python-Based, Acoustic Holography Library
topic Sound
Emerging Technologies
url https://arxiv.org/abs/2511.07336