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PreprintCC BY 4.0arXiv

Macroscopic dark matter constraints for extended mass functions

Abstract

We compile and recompute a subset of the landscape of constraints for macroscopic dark matter (macros), explicitly including the dependence on the fraction of dark matter in macros fdm. This allows us to map these constraints to scenarios with extended mass functions for the macros, which is a generic outcome for many of the assembly processes relevant to macro formation. We compute a number of examples of constraints for extended mass functions, finding that in many cases, wider mass functions can be severely constrained by just the interactions of the tails of the distributions. Finally, we present the code and data required for computing these limits and generating these plots in a publicly accessible repository.

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BibTeX
@misc{picker2026macroscopic,
  title = {{Macroscopic dark matter constraints for extended mass functions}},
  author = {Zachary S. C. Picker and Andrew Buchanan and Melissa Diamond and Joseph Bramante},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.05626},
  eprint = {2609.05626},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.05626},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Macroscopic dark matter constraints for extended mass functions
AU  - Zachary S. C. Picker
AU  - Andrew Buchanan
AU  - Melissa Diamond
AU  - Joseph Bramante
PY  - 2026
DA  - 2026/09/04
PB  - arXiv
DO  - 10.48550/arxiv.2609.05626
UR  - https://arxiv.org/abs/2609.05626
AB  - We compile and recompute a subset of the landscape of constraints for macroscopic dark matter (macros), explicitly including the dependence on the fraction of dark matter in macros f_dm. This allows us to map these constraints to scenarios with extended mass functions for the macros, which is a generic outcome for many of the assembly processes relevant to macro formation. We compute a number of examples of constraints for extended mass functions, finding that in many cases, wider mass functions can be severely constrained by just the interactions of the tails of the distributions. Finally, we present the code and data required for computing these limits and generating these plots in a publicly accessible repository.
ER  -