Publications

1. How the cool-core population transitions from galaxy groups to massive clusters: A comparison of the largest Magneticum simulation with eROSITA, XMM-Newton, Chandra and LOFAR observations
   Gonzalez, Dolag & Biffi: 2024, A&A, in press

2. Euclid preparation: TBD. The impact of line-of-sight projections on the covariance between galaxy cluster multi-wavelength observable properties -- insights from hydrodynamic simulations
   Ragagnin et al. (incl Dolag): submitted

3. The MAGPI Survey: radial trends in star formation across different cosmological simulations in comparison with observations at z∼ 0.3
   Mun et al. (incl Valenzuela & Remus): submitted

4. Average X-ray properties of galaxy groups. From Milky Way-like halos to massive clusters
   Popesso Marini, Dolag et al. (incl Vladutescu-Zopp & Biffi): submitted

5. The hot gas mass fraction in halos. From Milky Way-like groups to massive clusters
   Popesso, Biviano, Marini, Dolag, Vladutescu-Zopp et al. (incl. Biffi): submitted

6. he perils of stacking optically selected groups in eROSITA data. The Magneticum perspective
   Popesso, Marini, Dolag et al. (incl Vladutescu-Zopp & Biffi): submitted

7. Detecting clusters and groups of galaxies populating the local Universe in large optical spectroscopic surveys
   Marini, Popesso, Dolag et al.: submitted

8. Impact of cosmology dependence of baryonic feedback in weak lensing
   Pranjal et al. (incl Dolag): submitted

9. The Atacama Cosmology Telescope: a census of bridges between galaxy clusters>
   Isopi et al. (incl Dolag): submitted

10. The formation histories of massive and quiescent galaxies in the 3 < z < 4.5 Universe
    Nanayakkara et al. (incl Kimmig & Remus): submitted

11. Euclid preparation. L. Calibration of the linear halo bias in Λ(ν)CDM cosmologies
    Castro et al. (incl Dolag): 2024, A&A, 691, 62

12. The Glow of Axion Quark Nugget Dark Matter: (I) Large Scale Structures
    Majidi et al. (incl Sommer & Dolag): JCAP 2024, 09, 045

13. COSMOS brightest group galaxies: III. Evolution of stellar ages
    Gonzalis et al. (incl Dolag): A&A 2024, 690, 215

14. KiDS-1000 and DES-Y1 combined: Cosmology from peak count statistics
    Harnois-Deraps et al. (incl Dolag): submitted

15. Detecting Galaxy Groups and AGNs populating the local Universe in the eROSITA era
    Marini et al. (incl Dolag, Biffi & Vladudescu-Zopp): submitted

16. The Physalis system: Discovery of ORC-like radio shells around a massive pair of interacting early-type galaxies with offset X-ray emission
    Koribalski, Khabibullin, Dolag et al.: submitted

17. Galaxy shapes in Magneticum. I. Connecting stellar and dark matter shapes to dynamical and morphological galaxy properties and the large-scale structure
    Valenzuela, Remus, Dolag & Sedel: 2024 A&A, 690, 206

18. Velocity recostruction with graph neural networks
    Tanimura, Bonnefous, Liu & Ganguly: submitted

19. The SAMI Galaxy Survey: Using Tidal Streams and Shells to Trace the Dynamical Evolution of Massive Galaxies
    Rutherford et al. (incl. Remus/Valenzuela): MNRAS, in press

20. Deciphering baryonic feedback with galaxy clusters
    Chun-Hao et al. : JCAP, submitted

21. The SRG/eROSITA All-Sky Survey: Constraints on AGN Feedback in Galaxy Groups
    Bahar et al. (incl. Dolag): submitted to A&A

22. Why Cosmic Voids Matter: Mitigation of Baryonic Physics
    Schuster, Hamus, Dolag & Weller: accepted

23. Preparing for low surface brightness science with the Vera C. Rubin Observatory: A Comparison of Observable and Simulated Intracluster Light Fractions
    Brought et al. (incl Kimmig & Remus): accepted

24. Euclid preparation TBD. The effect of baryons on the Halo Mass Function
    Castro et al. (incl Dolag): submitted

25. Relight the Candle: What happens to High Redshift Massive Quenched Galaxies
    Remus & Kimmig: submitted

26. Blowing out the Candle: How to Quench Galaxies at High Redshift -- an Ensemble of Rapid Starbursts, AGN Feedback and Environment
    Kimmig, Remus, Seidel, Valenzuela, Dolag & Burkert: submitted

27. KiDS-1000 cosmology: Combined second- and third-order shear statistics
    Burger et al. (incl Dolag): submitted

28. Statistics of thermal gas pressure as a probe of cosmology and galaxy formation
    Ziyang et al. (incl. Dolag): accepted

29. Environmental dependence of AGN activity and star formation in galaxy clusters from Magneticum simulations
    Rihtarsic, Biffi, Fabjan & Dolag: submitted

30. Cosmology with Galaxy Cluster Properties using Machine Learning
    Qui et al. (incl. Dolag, Remus): submitted

31. Prospects of detecting soft X-ray emission from typical WHIM filaments around massive clusters and the Coma cluster soft excess
    Churazov, Khabibullin, Dolag, Lyskova & Sunyaev: submitted

32. On the Decline of Star Formation during the Evolution of Galaxies
    Teklu, Kudritzki, Dolag, Remus & Kimmig: submitted

33. Circumgalactic Medium on the Largest Scales: Detecting X-ray Absorption Lines with Large-area Microcalorimeters
    Bogdan, Khabibullin, et al. (incl. Dolag, Vladutescu-Zopp): submitted

34. On the redshift evolution of the baryon and gas fraction in simulated groups and clusters of galaxies
    Angelinelli, Ettori, Dolag, Vazza & Ragagnin: submitted

35. Effects of Multiphase Gas and Projection on X-ray Observables in Simulated Galaxy Clusters as Seen by eROSITA
    ZuHone, Bahar, Biffi, Dolag, Sanders, Bulbul, Liu, Dauser, König, Zhang & Ghirardini: submitted

36. Offset between X-ray and optical centers in clusters of galaxies: connecting eROSITA data and simulations
    Seppi, Comparat, Nandra, Dolag, Biffi, Bulbul, Liu, Ghirardini & Ider-Chitham: in press

37. Hydrostatic Mass Profiles of Galaxy Clusters in the eROSITA Survey
    Scheck, Sanders, Biffi, Dolag, Bulbul & Liu: in press

38. Exploring the cosmological synergy between galaxy cluster and cosmic void number counts
    Pelliciari, Contarini, Marulli, Moscardini, Giocoli, Lesci & Dolag: submitted

39. Why Cosmic Voids Matter: Nonlinear Structure & Linear Dynamics
    Schuster, Hamaus, Dolag & Weller: submitted

40. The Hateful Eight: Connecting Massive Substructures in Galaxy Clusters like Abell 2744 to their Dynamical Assembly State using the Magneticum Simulations
    Kimmig, Remus, Dolag & Biffi: submitted

41. Insights on the origin of ORCs from cosmological simulations
    Dolag, Böss, Koribalski, Steinwandel & Valentini: submitted

42. A Stream Come True: Connecting tidal tails, shells, streams, and planes with galaxy kinematics and formation history
    Valenzuela and Remus: submitted

43. Decomposition of galactic X-ray emission with Phox: Contributions from hot gas and XRBs
    Vladutescu-Zopp, Dolag and Biffi: submitted

44. Simulation view of galaxy clusters with low X-ray surface brightness
    Ragagnin, Andreon and Puddu: submitted

45. A Machine Learning Approach to Enhancing eROSITA Observations
    Soltis, Ntampaka, Wu, ZuHone, Evrard, Farahi, Ho and Nagai: submitted

46. The Young and the Wild: What happens to Protoclusters forming at z~4?
    Remus, Dolag & Dannerbauer: APJ, submitted

47. A multi-simulation study of relativistic SZ temperature scalings in galaxy clusters and groups
    Lee, Anbajagane, Singh, Chluba, Nagai, Kay, Cui, Dolag and Yepes: MNRAS, submitted

48. Mapping "out-of-the-box" the properties of the baryons in massive halos
    Angelinelli, Ettori, Dolag, Vazza & Ragagnin: A&A, submitted

49. LCDM with baryons vs. MOND: the time evolution of the universal acceleration scale in the Magneticum simulations
    Mayer, Teklu, Dolag & Remus: MNRAS, submitted

50. Intrinsic shapes of Brightest Cluster Galaxies
    de Nicola et al. (incl Remus):2022, ApJ, accepted

51. Improving the accuracy of estimators for the two-point correlationfunction
    Kerscher:2022, A&A, 666, 181

52. Persistent homology in cosmic shear II: A tomographic analysis of DES-Y1
    Heydenreich et al. (incl Dolag):2022, submitted

53. Tracing the environmental history of observed galaxies via extended fast action minimization method
    Sarpa, Longobardi, Kraljic, Veropalumbo & Schimd:2022, submitted

54. Massive quiescent galaxies at z~3: a comparison of selection, stellar population and structural properties with simulation predictions
    Lustig et al. (incl. Remus, Dolag):2022, MNRAS, submitted

55. Effects of boosting on extragalactic components: methods and statistical studies
    Coulton, Feldman, Maamari, Pierpaoli, Yasini & Dolag:2021, MNRAS, submitted

56. Convolutional Neural Network-reconstructed velocity for kinetic SZ detection
    Tanimura, Aghanim, Bonjean & Zaroubi:2022, submitted

57. The Importance of Being Interpretable: Toward An Understandable Machine Learning Encoder for Galaxy Cluster Cosmology
    Ntampaka & Vikhlinin:2021, MNRAS, submitted

58. Satellite galaxy abundance dependency on cosmology in Magneticum simulations
    Ragagnin, Fumagalli, Castro, Dolag, Saro, Costanzi & Bocquet:2021, MNRAS, submitted

59. Galaxy Velocity Bias in Cosmological Simulations: Towards Percent-level Calibration
    Anbajagane, Aung, Evrard, Farahi, Nagai, Barnes, Cui, Dolag, McCarthy, Rasia, Elena & Yepes:2021, MNRAS, submitted

60. Total mass density slopes of early-type galaxies using Jeans dynamical modelling at redshifts 0.29<z<0.55
    Derkenne, McDermid, Poci, Remus, Jorgensen & Emsellem:2021, MNRAS, in press

61. The eROSITA view of the Abell 3391/95 field: a case study from the Magneticum cosmological simulation
    Biffi, Dolag, Reiprich, Veronica, Ramos-Ceja, Bulbul, Ota & Ghirardini:2021, A&A submitted

62. The eROSITA View of the Abell 3391/95 Field: The Northern Clump. The Largest Infalling Structure in the Longest Known Gas Filament Observed with eROSITA. XMM-Newton, Chandra
    Veronica et al. (incl Biffi & Dolag): 2021, A&A submitted

63. Extended fast action minimization method: application to SDSS-DR12 combined sample
    Sarpa, Veropalumbo, Schimd, Branchini, Matarrese: 2021, MNRAS, 503, 1

64. Do galaxies die? Different views from simulations and observations in the Local Universe
    Corcho-Caballero, Ascasibar, Scannapieco: MNRAS, submitted

65. Thermodynamic evolution of the z=1.75 galaxy cluster IDCS J1426.5+3508
    Andreon et al. (incl Ragagnin): MNRAS, in press

66. Testing the SZ-based tomographic approach to the thermal history of the universe with pressure-density cross-correlations: Insights from the Magneticum simulation
    Young, Komatsu & Dolag: submitted

67. Calibration of bias and scatter involved in cluster mass measurements using optical weak gravitational lensing
    Grandis, Bocquet, Mohr, Klein & Dolag: MNRAS, submitted

68. Accreted or Not Accreted? The Fraction of Accreted Mass in Galaxies from Simulations and Observations
    Remus & Forbes: MNRAS, submitted

69. Impact of baryons in cosmic shear analyses with tomographic aperture mass statistics
    Martinet1, Castro, Harnois-Déraps, Jullo1, Giocoli & Dolag10: A&A, submitted

70. The Abell 3391/95 galaxy cluster system: A 15 Mpc intergalactic medium emission filament, a warm gas bridge, infalling matter clumps, and (re-) accelerated plasma discovered by combining SRG/eROSITA data with ASKAP/EMU and DECam data
    Reiprich et al. (incl. Biffi/Dolag): A&A, in press

71. Cosmic Shear Cosmology Beyond 2-Point Statistics: A Combined Peak Count and Correlation Function Analysis of DES-Y1
    Harnois-Déraps et al. (incl. Dolag): MNRAS, submitted

72. Galaxy Lookback Evolution Models - a Comparison with Magneticum Cosmological Simulations and Observations
    Kudritzki, Teklu, Schulze, Remus, Dolag, Burkert & Zahid: ApJ, submitted

73. The MAGPI Survey -- science goals, design, observing strategy and early results
    Foster et al (incl. Schulze & Remus): MNRAS, submitted

74. The SAMI Galaxy Survey: Towards an Optimal Classification of Galaxy Stellar Kinematics
    van de Sande et al (incl. Remus & Schulze): MNRAS, submitted

75. Rise and fall of (post-)starburst galaxies in Magneticum Pathfinder
    Lotz, Dolag, Remus & Burkert: MNRAS, submitted

76. Measuring Dark Matter in Galaxies: The Mass Fraction Within 5 Effective Radii
    Harris, Remus, Harris & Babyk: ApJ, in press

77. Peculiar Velocity Estimation from Kinetic SZ Effect using Deep Neural Networks
    Wang, Ramachandra, Salazar-Canizales, Feldman, Watkins & Dolag: MNRAS, submitted

78. On the impact of baryons on the halo mass function, bias, and cluster cosmology
    Castro, Borgani, Dolag, Marra, Quartin, Saro & Sefusatti: MNRAS, submitted

79. Properties of the CGM and IGM: constraints on galaxy formation models from the Sunyaev-Zel'dovich effect
    Lim, Barnes, Vogelsberger, Mo, Nelson, Pillepich, Dolag & Marinacci: MNRAS, submitted

80. Direct detection of the kinetic Sunyaev-Zel'dovich effect in galaxy clusters
    Tanimura, Zaroubi & Aghanim: A&A, submitted

81. Mass Estimation of Galaxy Clusters with Deep Learning II: CMB Cluster Lensing
    Gupta & Reichardt: submitted

82. Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect
    Gupta & Reichardt: submitted

83. Cosmology dependency of halo masses and concentrations in hydrodynamic simulations
    Ragagnin, Saro, Singh & Dolag: MNRAS, in press

84. Probing the azimuthal environment of galaxies around clusters. From cluster core to cosmic filaments
    Gouin, Aghanim, Bonjean & Douspis: A&A, in press

85. Stellar Property Statistics of Massive Halos from Cosmological Hydrodynamics Simulations: Common Kernel Shapes
    Anbajagane, Evrard, Farahi, Barnes, Dolag, McCarthy, Nelson & Pillepich: MNRAS, submitted

86. Kinematics of Simulated Galaxies II: Probing the StellarKinematics of Galaxies out to Large Radii
    Schulze, Remus, Dolag, Bellstedt,Burkert & Forbes: MNRAS, submitted

87. Populations of filaments from the distribution of galaxies in numerical simulations
    Galárraga-Espinosa, Aghanim, Langer, Gouin, Malavasi 2020, A&A, 641, 173

88. Cosmology dependence of galaxy cluster scaling relations
    Singh, Saro, Costanzi & Dolag: MNRAS 2020, 494, 3728

89. Using X-ray morphological parameters to strengthen galaxy cluster mass estimates via machine learning
    Green, Ntampaka, Nagai, Lovisari, Dolag, Eckert & ZuHone: ApJ submitted

90. Joint cluster reconstructions: Combining free-form lensing and X-rays
    Huber, Tchernin, Merten, Hilbert & Bartelmann: A&A 2019, 627, 143

91. The SAMI Galaxy Survey: comparing 3D spectroscopic observations with galaxies from cosmological hydrodynamical simulations
    van de Sande et al. (incl. Remus & Schulze): MNRAS 2019, 484, 869

92. Dependency of halo concentration on mass, redshift and fossilness in Magneticum hydrodynamic simulations
    Ragagnin, Dolag, Moscardini, Biviano & D'Onofrio: MNRAS 2019, 486, 4001

93. Gone after one orbit: How cluster environments quench galaxies
    Lotz, Remus, Dolag, Biviano & Burkert: MNRAS 2019, in press

94. X-ray emission from warm-hot intergalactic medium: the role of resonantly scattered cosmic X-ray background
    Khabibullin & Churazov: MNRAS 2019, 482, 4972

95. Metallicity gradients in the globular cluster systems of early-type galaxies: In-situ and accreted components?
    Forbes & Remus: MNRAS, 2018, 479, 4760

96. The SLUGGS survey: a comparison of total-mass profiles of early-type galaxies from observations and cosmological simulations, to ~4 effective radii
    Bellstedt, Forbes, Romanowsky, Remus et al.: MNRAS 2018, 476, 4543

97. On the relative bias of void tracers in the Dark Energy Survey
    Pollina et al. (incl. Dolag): MNRAS 2019, 487, 2836

98. Cosmological simulations of black hole growth II: how (in)significant are merger events for fuelling nuclear activity?
    Steinborn, Hirschmann, Dolag, Shankar, Juneau, Krumpe, Remus & Teklu: MNRAS 2018, 481, 341

99. AGN X-ray emission in galaxy clusters: contamination to the ICM X-ray luminosity
    Biffi, Dolag & Merloni : MNRAS 2018, 481, 2213

100. Chandra centers for COSMOS X-ray galaxy groups: Differences in stellar properties between central dominant and offset brightest group galaxies
     Gozaliasl et al. (incl. Dolag): MNRAS 2019, 483, 3545

101. Evolution of substructures in simulated galaxy clusters
     DeBoni, Boehringer, Chon & Dolag: MNRAS 2018, 478, 2086

102. Kinematics of Simulated Galaxies I: Connecting Dynamical and Morphological Properties of Early-Type Galaxies at Different Redshifts
     Schulze, Remus, Dolag, Burkert, Emsellem & van de Ven: MNRAS 2018, 480, 4636

103. Cosmology with the pairwise kinematic SZ effect: Calibration and validation using hydrodynamical simulations
     Soergel, Saro, Giannantonio, Efstathio & Dolag: MNRAS 2018, 478, 5320

104. The effectof baryons in the cosmological lensing PDFs
     Castro, Quartin, Giocoli, Borgani & Dolag: MNRAS 2018, 478, 122

105. Declining rotation curves at z=2: A natural phenomena in LCDM cosmology
     Teklu, Remus, Dolag, Arth, Burkert, Obreja & Schulze: ApJL 2018, 854, 28

106. The Outer Halos of Very Massive Galaxies: BCGs and their DSC in the Magneticum Simulations
     Remus, Dolag & Hoffmann: The origin (and evolution) of baryonic galaxy halos, 2017

107. Distribution and Evolution of Metals in the Magneticum simulations
     Dolag, Mevius & Remus: The origin (and evolution) of baryonic galaxy halos, 2017

108. The Morphology-Density-Relation: Impact on Satellite Fraction
     Teklu, Remus, Dolag & Burkert: MNRAS 2017, 742, 4769-4785

109. SZE Observables, Pressure Profiles and Center Offsets in Magneticum Simulation Galaxy Clusters
     Gupta, Saro, Mohr, Dolag & Liu: MNRAS 2017, 469, 3069-3087

110. On the linearity of tracer bias around voids
     Pollina, Hamaus, Dolag, Weller, Baldi & Moscardini: MNRAS 2017, 469, 787-799

111. A web interface for hydrodynamical, cosmological simulations
     Ragagnin, Dolag, Biffi, Cadolle Bel, Hammer, Krukau, Petkova & Seinborn: Journal of Astronomy and Computing 2017, 20, 52-67

112. Constraining the halo mass function with observations
     Castro, Marra & Quartin: MNRAS 2017, 463, 1666-1677

113. The Co-Evolution of Total Density Profiles and Central Dark Matter Fractions in Simulated Early-Type Galaxies
     Remus, Dolag, Naab, Burkert, Hirschmann, Hoffmann & Johansson: MNRAS 2017, 464, 3742-3756

114. Origin and properties of dual and offset AGN in a cosmological simulation at z=2
     Steinborn, Dolag, Comerford, Hirschmann; Remus & Teklu: MNRAS 2016, 458, 1013

115. SZ effects in the Magneticum Pathfinder Simulation: Comparison with the Planck, SPT, and ACT results
     Dolag, Komatsu & Sunyaev : MNRAS 2016, 463, 1797

116. Redshift-space distortions of galaxies, clusters and AGN: testing how the accuracy of growth rate measurements depends on scales and sample selections
     Marulli, Veropalumbo, Moscardini, Cimatti & Dolag: A&A 2017, 599, 106

117. Connecting Angular Momentum and Galactic Dynamics: The Complex Interplay between Spin, Mass, and Morphology
     Teklu, Remus, Dolag, Beck, Burkert, Schmidt, Schulze & Steinborn: ApJ 2015

118. Baryon impact on the halo mass function: Fitting formulae and implications for cluster cosmology
     Bocquet, Saro, Dolag & Mohr: MNRAS 2016

119. An improved SPH scheme for cosmological simulations
     Beck et al. : MNRAS 2016

120. The cosmic growth of the active black hole population at 1<z<2 in zCOSMOS, VVDS and SDSS
     Schulze et al. (incl. Hirschmann): MNRAS 2015

121. Constraints on the distribution and energetics of fast radio bursts using cosmological hydrodynamic simulations
     Dolag, Gaensler, Beck & Beck: MNRAS 2015

122. A refined sub-grid model for black hole accretion and AGN feedback in large cosmological simulations
     Steinborn, Dolag, Hirschmann, Prieto & Remus: MNRAS 2015

123. The Redshift Evolution of the Mean Temperature, Pressure, and Entropy Profiles in 80 SPT-Selected Galaxy Clusters
     McDonald et al., SPT team (incl. Saro): ApJ 2014

124. Cosmological simulations of black hole growth: AGN luminosities and downsizing
     Hirschmann, Dolag, Saro, Bachmann, Borgani & Burkert: MNRAS 2014

125. Constraints on the CMB Temperature Evolution using Multi-Band Measurements of the Sunyaev Zeldovich Effect with the South Pole Telescope
     Saro et al.: MNRAS 2014

126. Simulated star formation rate functions at z~4-7, and the role of feedback in high-z galaxies
     Tescari, Katsianis, Wyithe, Dolag, Tornatore, Barai, Viel & Borgani: MNRAS 2014

127. Investigating the velocity structure and X-ray observable properties of simulated galaxy clusters with PHOX
     Biffi, Dolag & Boehringer: MNRAS 2013

128. Virial scaling of galaxies in clusters: bright to faint is cool to hot
     Wu, Hahn, Evrard, Wechsler & Dolag: MNRAS 2013

129. Planck intermediate results. V. Pressure profiles of galaxy clusters from the Sunyaev-Zeldovich effect
     Planck Collaboration (incl. Dolag): A&A 2013

130. The Dark Halo-Spheroid Conspiracy and the Origin of Elliptical Galaxies
     Remus, Burkert, Dolag, Johansson, Naab, Oser & Thomas: ApJ 2013

131. On the orbital and internal evolution of cluster galaxies
     Iannuzzi & Dolag: MNRAS 1012

Selected PhD Thesis

1. X-ray Emission of Simulated Galaxies - From Stars to Cosmic Filaments
   Stephan Vladudescu-Zopp, 2024

2. A Dress Code for Galaxies: How the Interplay of Gas, Stars, Dark Matter and Environment Shapes Their Appearance in Simulations
   Adelheid Teklu, 2018

3. From the mass-concentration relation of haloes to GPUs and into the web: A guide on fully utilizing super computers for the largest, cosmological hydrodynamic simulations
   Antonio Ragagnin, 2018

4. Modelling active galactic nuclei in cosmological simulations: how sub-grid models help to reveal the driving mechanisms of nuclear activity
   Lisa Steinborn (geb. Bachmann), 2018

Selected Master Thesis

1. Spatially-Resolved Age and Metallicity of Galaxies and Their Stellar Shells and Streams in the Magneticum Simulation
   Johannes Stoiber, 2024

2. Everything from Nothing – Of Haloes and Voids
   Benjamin Seidel, 2022

3. Galaxies and Active Galactic Nuclei in Galaxy Clusters: Insights from Cosmological Simulations
   Gregor Ritharsic, 2022

4. Orbital Dynamics in Galaxy Clusters
   Marcel Lotz, 2017

5. Simulating Chemical Enrichment in Galaxies
   Emilio Mevius, 2016

6. Angular Momentum Distribution in Galactic Halos
   Adelheid Teklu, 2014

7. Black Holes in the Magneticum Pathfinder Simulations
   Lisa Steinborn (geb. Bachmann), 2014

8. The Kinematics of Elliptical Galaxies in The Magneticum Pathfinder Simulations
   Felix Schulze, 2014

Selected Bachelor Thesis

1. Properties of Magneticum Disk Galaxies in the Context of Modified Newtonian Dynamics
   Alexander Mayer, 2019

2. Cool Core Clusters in the Magneticum Pathfinder Simulation
   Jennifer Hinz, 2018

3. Probing The Richness Mass Proxy with Magneticum Simulation Galaxy Clusters
   Maximilian Kuehn, 2017

4. Magneticum Superclusters
   Andreas Hofmann, 2017

5. Spiral galaxies in cosmological simulations
   Felix Schulze, 2012

6. Cold streams in high-z galaxies
   Adelheid Teklu, 2012

To be submitted

1. Magneticum: A pathfinder simulation as counterpart for multi-wavelength surveys
   Dolag et al., Magneticum Core Team: to be submitted

2. A universal stellar density profile of galaxies at large radii
   Remus et al.: in preparation

Conference Proceedings

1. A `Universal' Density Profile for the Outer Stellar Halos of Galaxies
   Remus, Burkert & Dolag : IAU Symposium 321, 2016

2. Dynamical Properties of Galaxies with Different Morphological Types at z=0 and z=2
   Teklu, Remus & Dolag: The Interplay between Local and Global Processes in Galaxies, 2016

3. Connecting Small and Large Scales: The Role of Feedback in Establishing Global Galaxy Properties over Cosmic Times
   Remus & Dolag: The Interplay between Local and Global Processes in Galaxies, 2016

4. The X-ray Universe as seen through a Super Computer
   Dolag & Biffi : IAU 2015, FM6

5. From the Outskirts of Galaxies to Intra Cluster Light
   Dolag, Remus & Teklu: IAU 2015, S317

6. The thermal SZ power spectrum
   Dolag, Komatsu & Sunyaev : IAU 2015, FM5

7. Disk Galaxies in the Magneticum Pathfinder Simulations
   Remus, Dolag, Bachmann, Beck, Burkert, Hirschmann & Teklu: IAU Symposium 309, 2014

8. The Angular Momentum Dichotomy
   Teklu, Remus, Dolag & Burkert: IAU Symposium 309, 2014

9. The Dark Halo - Spheroid Conspiracy Reloaded: Evolution with Redshift
   Remus, Dolag & Burkert: IAU Symposium 311, 2014