Embedded newform data - 1152.5.h.b.449.4

Formats: - HTML - YAML - JSON - 2026-04-13T01:59:54.159140

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 28800, 'analytic_conductor': 119.08219747258866, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': -1, 'char_values': [1152, 2, [127, 901, 641], [2, 1, 1]], 'cm_discs': [-4], 'conrey_index': 449, 'dim': 4, 'field_disc': 256, 'field_disc_factorization': [[2, 8]], 'field_poly': [1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 8, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-1922, 0, 1]], [11, [0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504080747594880, 'hecke_ring_generator_nbound': 17, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, -4], [1, 1, 24, 8, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 3, 2, -1, 2, 0], [1, 1, 12, 2, 1, 2, 0], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1152.5.h.b', 'level': 1152, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '1152.5.h.b', 'nf_label': '4.0.256.1', 'prim_orbit_index': 8, 'qexp_display': 'q-31\\beta_{3} q^{5}+119\\beta_1 q^{13}-79\\beta_{2} q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '4.2.1.d2', 'self_twist_discs': [-4], 'self_twist_type': 1, 'space_label': '1152.5.h', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1819650234734041911, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.710', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '176.712', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9377.988', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.883', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9604, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -58564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -198152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -153592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.3482803465767202, -0.25, -0.25, 0.206693103998804, 0.0, -0.25, -0.37828819285112963, -0.436904554333787, -0.13914477800063013, -0.25, 0.22373670475831262, 0.0, -0.19049083285716456, -0.25, 0.02632600943866394, 0.0, -0.32365218439823706, -0.25, -0.26031880898606, -0.25, -0.25, 0.21146411934536502, -0.3040379803676588, 0.0, -0.08441974688548516, 0.18252826214213666, 0.0, -0.15587617074427965, 0.0, -0.4014110539987949, -0.25, 0.0, -0.2820457097329712, -0.25, -0.3706605371527964, -0.4870095630232509, 0.18526286633826916, -0.42832858012592007, 0.0, -0.16133875470203962, -0.25, -0.4147386663372852, -0.4709462790428382, -0.25, -0.17580089153325296, -0.25, -0.25, -0.26805557288458304, 0.0, -0.4823206636533935, -0.11251885873249523, -0.25, -0.25, 0.0, -0.4121426366337949, -0.25, -0.2602384245398608, 0.0, -0.09062157712314321, 0.014510483538419067, -0.25, 0.16099666995669032, -0.25, -0.25, -0.4164019951262375, 0.01056076363756427, 0.0, -0.25, -0.25, 0.19984457268887487, 0.0, -0.25, 0.1479685702289035, 0.0, 0.0, -0.09687114182607083, -0.24097194834575755, -0.25, 0.0, -0.25, 0.0, -0.25, 0.1975987604743614, -0.2717410155622543, 0.0, -0.25, -0.25, 0.0, 0.0, -0.39776189256104755, 0.10908782017594837, 0.0, -0.2976572592091002, -0.16515458478100786, -0.25, -0.40979327323434006, 0.0, -0.18070126394484232, -0.19084337350829714, -0.25, -0.25, -0.48934417687264936, -0.2882477276652408, 0.06308669106706893, 0.0, -0.23224772379202596, -0.29584723609806873, 0.0, -0.14280260556845714, 0.010789132567546295, 0.0, -0.19617777361021468, -0.25, -0.49784672283230713, -0.25, -0.25, -0.42456694917290233, -0.11734456323551537, -0.25, 0.0, -0.25, 0.0, -0.48956454504738245, 0.0, 0.0, -0.30206555377225225, -0.33447954182687895, -0.25, -0.38083880009475596, -0.4682547243043611, -0.25, 0.007897958570797455, -0.25, 0.1910949024451763, -0.22953452150725728, -0.25, -0.22149971843042654, -0.25, 0.0, -0.3267465451192628, -0.07458030546770388, -0.25], 'char_orbit_index': 8, 'conrey_index': 449, 'dual_conrey_index': 449, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': -0.7071067811865476, 'embedding_root_real': -0.7071067811865476, 'hecke_orbit': 2, 'hecke_orbit_code': 4504080747594880, 'label': '1152.5.h.b.449.4', 'level': 1152, 'weight': 5}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 28800, 'analytic_conductor': 119.08219747258866, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': -1, 'char_values': [1152, 2, [127, 901, 641], [2, 1, 1]], 'conrey_index': 449, 'cusp_dim': 736, 'dim': 64, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 481120224384, 'hecke_orbit_dims': [4, 4, 8, 8, 8, 16, 16], 'label': '1152.5.h', 'level': 1152, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 800, 'mf_new_dim': 64, 'num_forms': 7, 'prim_orbit_index': 8, 'relative_dim': 64, 'sturm_bound': 960, 'trace_bound': 25, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -65920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 141120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 134016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -118528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -210560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -314432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 241536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -877312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 280640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 482816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -143872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2006144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -599040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -509440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 473216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2053568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -912640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -894592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -542016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4362240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3242368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1880704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3759360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2367360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 319616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1806848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4814848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8068480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5010688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1567232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7503232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4062912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8239744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 5, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 35697706
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4504080747594880, 'source_is_minimal': True, 'source_label': '1152.5.h.b.449.4', 'source_level': 1152, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4504080747594880, 'target_is_minimal': True, 'target_label': '1152.5.h.b.449.4', 'target_level': 1152, 'twist_class_label': '1152.5.h.b.449.1', 'twist_class_level': 1152, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 5}
  • id: 35697707
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4504080747594880, 'source_is_minimal': True, 'source_label': '1152.5.h.b.449.4', 'source_level': 1152, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504080747594880, 'target_is_minimal': True, 'target_label': '1152.5.h.b.449.2', 'target_level': 1152, 'twist_class_label': '1152.5.h.b.449.1', 'twist_class_level': 1152, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 5}
  • id: 35697708
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4504080747594880, 'source_is_minimal': True, 'source_label': '1152.5.h.b.449.4', 'source_level': 1152, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4504080747594880, 'target_is_minimal': True, 'target_label': '1152.5.h.b.449.4', 'target_level': 1152, 'twist_class_label': '1152.5.h.b.449.1', 'twist_class_level': 1152, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 5}
  • id: 35697709
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4504080747594880, 'source_is_minimal': True, 'source_label': '1152.5.h.b.449.4', 'source_level': 1152, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504080747594880, 'target_is_minimal': True, 'target_label': '1152.5.h.b.449.1', 'target_level': 1152, 'twist_class_label': '1152.5.h.b.449.1', 'twist_class_level': 1152, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 5}
  • id: 35697710
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4504080747594880, 'source_is_minimal': True, 'source_label': '1152.5.h.b.449.4', 'source_level': 1152, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504080747594880, 'target_is_minimal': True, 'target_label': '1152.5.h.b.449.1', 'target_level': 1152, 'twist_class_label': '1152.5.h.b.449.1', 'twist_class_level': 1152, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 5}
  • id: 35697711
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4504080747594880, 'source_is_minimal': True, 'source_label': '1152.5.h.b.449.4', 'source_level': 1152, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504080747594880, 'target_is_minimal': True, 'target_label': '1152.5.h.b.449.2', 'target_level': 1152, 'twist_class_label': '1152.5.h.b.449.1', 'twist_class_level': 1152, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 5}
  • id: 35697712
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4504080747594880, 'source_is_minimal': True, 'source_label': '1152.5.h.b.449.4', 'source_level': 1152, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4504080747594880, 'target_is_minimal': True, 'target_label': '1152.5.h.b.449.3', 'target_level': 1152, 'twist_class_label': '1152.5.h.b.449.1', 'twist_class_level': 1152, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 5}
  • id: 35697713
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 449, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4504080747594880, 'source_is_minimal': True, 'source_label': '1152.5.h.b.449.4', 'source_level': 1152, 'target_conrey_index': 449, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4504080747594880, 'target_is_minimal': True, 'target_label': '1152.5.h.b.449.3', 'target_level': 1152, 'twist_class_label': '1152.5.h.b.449.1', 'twist_class_level': 1152, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 5}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1726950
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 2}
  • id: 1726951
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 3}
  • id: 1726952
    {'charpoly_factorization': [[[-1922, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 5}
  • id: 1726953
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 7}
  • id: 1726954
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 11}
  • id: 1726955
    {'charpoly_factorization': [[[56644, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 13}
  • id: 1726956
    {'charpoly_factorization': [[[12482, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 17}
  • id: 1726957
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 19}
  • id: 1726958
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 23}
  • id: 1726959
    {'charpoly_factorization': [[[-1276802, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 29}
  • id: 1726960
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 31}
  • id: 1726961
    {'charpoly_factorization': [[[2822400, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 37}
  • id: 1726962
    {'charpoly_factorization': [[[10026242, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 41}
  • id: 1726963
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 43}
  • id: 1726964
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 47}
  • id: 1726965
    {'charpoly_factorization': [[[-28290242, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 53}
  • id: 1726966
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 59}
  • id: 1726967
    {'charpoly_factorization': [[[6969600, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 61}
  • id: 1726968
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 67}
  • id: 1726969
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 71}
  • id: 1726970
    {'charpoly_factorization': [[[-10560, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 73}
  • id: 1726971
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 79}
  • id: 1726972
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 83}
  • id: 1726973
    {'charpoly_factorization': [[[247264322, 0, 1], 2]], 'hecke_orbit_code': 4504080747594880, 'p': 89}
  • id: 1726974
    {'charpoly_factorization': [[[18720, 1], 4]], 'hecke_orbit_code': 4504080747594880, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 8, 'hecke_orbit': 2, 'label': '1152.5.h.b', 'level': 1152, 'portrait': 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', 'weight': 5}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 23168635
    {'hecke_orbit_code': 4504080747594880, 'n': 1, 'trace_an': 4}
  • id: 23168636
    {'hecke_orbit_code': 4504080747594880, 'n': 2, 'trace_an': 0}
  • id: 23168637
    {'hecke_orbit_code': 4504080747594880, 'n': 3, 'trace_an': 0}
  • id: 23168638
    {'hecke_orbit_code': 4504080747594880, 'n': 4, 'trace_an': 0}
  • id: 23168639
    {'hecke_orbit_code': 4504080747594880, 'n': 5, 'trace_an': 0}
  • id: 23168640
    {'hecke_orbit_code': 4504080747594880, 'n': 6, 'trace_an': 0}
  • id: 23168641
    {'hecke_orbit_code': 4504080747594880, 'n': 7, 'trace_an': 0}
  • id: 23168642
    {'hecke_orbit_code': 4504080747594880, 'n': 8, 'trace_an': 0}
  • id: 23168643
    {'hecke_orbit_code': 4504080747594880, 'n': 9, 'trace_an': 0}
  • id: 23168644
    {'hecke_orbit_code': 4504080747594880, 'n': 10, 'trace_an': 0}
  • id: 23168645
    {'hecke_orbit_code': 4504080747594880, 'n': 11, 'trace_an': 0}
  • id: 23168646
    {'hecke_orbit_code': 4504080747594880, 'n': 12, 'trace_an': 0}
  • id: 23168647
    {'hecke_orbit_code': 4504080747594880, 'n': 13, 'trace_an': 0}
  • id: 23168648
    {'hecke_orbit_code': 4504080747594880, 'n': 14, 'trace_an': 0}
  • id: 23168649
    {'hecke_orbit_code': 4504080747594880, 'n': 15, 'trace_an': 0}
  • id: 23168650
    {'hecke_orbit_code': 4504080747594880, 'n': 16, 'trace_an': 0}
  • id: 23168651
    {'hecke_orbit_code': 4504080747594880, 'n': 17, 'trace_an': 0}
  • id: 23168652
    {'hecke_orbit_code': 4504080747594880, 'n': 18, 'trace_an': 0}
  • id: 23168653
    {'hecke_orbit_code': 4504080747594880, 'n': 19, 'trace_an': 0}
  • id: 23168654
    {'hecke_orbit_code': 4504080747594880, 'n': 20, 'trace_an': 0}
  • id: 23168655
    {'hecke_orbit_code': 4504080747594880, 'n': 21, 'trace_an': 0}
  • id: 23168656
    {'hecke_orbit_code': 4504080747594880, 'n': 22, 'trace_an': 0}
  • id: 23168657
    {'hecke_orbit_code': 4504080747594880, 'n': 23, 'trace_an': 0}
  • id: 23168658
    {'hecke_orbit_code': 4504080747594880, 'n': 24, 'trace_an': 0}
  • id: 23168659
    {'hecke_orbit_code': 4504080747594880, 'n': 25, 'trace_an': 5188}
  • id: 23168660
    {'hecke_orbit_code': 4504080747594880, 'n': 26, 'trace_an': 0}
  • id: 23168661
    {'hecke_orbit_code': 4504080747594880, 'n': 27, 'trace_an': 0}
  • id: 23168662
    {'hecke_orbit_code': 4504080747594880, 'n': 28, 'trace_an': 0}
  • id: 23168663
    {'hecke_orbit_code': 4504080747594880, 'n': 29, 'trace_an': 0}
  • id: 23168664
    {'hecke_orbit_code': 4504080747594880, 'n': 30, 'trace_an': 0}
  • id: 23168665
    {'hecke_orbit_code': 4504080747594880, 'n': 31, 'trace_an': 0}
  • id: 23168666
    {'hecke_orbit_code': 4504080747594880, 'n': 32, 'trace_an': 0}
  • id: 23168667
    {'hecke_orbit_code': 4504080747594880, 'n': 33, 'trace_an': 0}
  • id: 23168668
    {'hecke_orbit_code': 4504080747594880, 'n': 34, 'trace_an': 0}
  • id: 23168669
    {'hecke_orbit_code': 4504080747594880, 'n': 35, 'trace_an': 0}
  • id: 23168670
    {'hecke_orbit_code': 4504080747594880, 'n': 36, 'trace_an': 0}
  • id: 23168671
    {'hecke_orbit_code': 4504080747594880, 'n': 37, 'trace_an': 0}
  • id: 23168672
    {'hecke_orbit_code': 4504080747594880, 'n': 38, 'trace_an': 0}
  • id: 23168673
    {'hecke_orbit_code': 4504080747594880, 'n': 39, 'trace_an': 0}
  • id: 23168674
    {'hecke_orbit_code': 4504080747594880, 'n': 40, 'trace_an': 0}
  • id: 23168675
    {'hecke_orbit_code': 4504080747594880, 'n': 41, 'trace_an': 0}
  • id: 23168676
    {'hecke_orbit_code': 4504080747594880, 'n': 42, 'trace_an': 0}
  • id: 23168677
    {'hecke_orbit_code': 4504080747594880, 'n': 43, 'trace_an': 0}
  • id: 23168678
    {'hecke_orbit_code': 4504080747594880, 'n': 44, 'trace_an': 0}
  • id: 23168679
    {'hecke_orbit_code': 4504080747594880, 'n': 45, 'trace_an': 0}
  • id: 23168680
    {'hecke_orbit_code': 4504080747594880, 'n': 46, 'trace_an': 0}
  • id: 23168681
    {'hecke_orbit_code': 4504080747594880, 'n': 47, 'trace_an': 0}
  • id: 23168682
    {'hecke_orbit_code': 4504080747594880, 'n': 48, 'trace_an': 0}
  • id: 23168683
    {'hecke_orbit_code': 4504080747594880, 'n': 49, 'trace_an': -9604}
  • id: 23168684
    {'hecke_orbit_code': 4504080747594880, 'n': 50, 'trace_an': 0}
  • id: 23168685
    {'hecke_orbit_code': 4504080747594880, 'n': 51, 'trace_an': 0}
  • id: 23168686
    {'hecke_orbit_code': 4504080747594880, 'n': 52, 'trace_an': 0}
  • id: 23168687
    {'hecke_orbit_code': 4504080747594880, 'n': 53, 'trace_an': 0}
  • id: 23168688
    {'hecke_orbit_code': 4504080747594880, 'n': 54, 'trace_an': 0}
  • id: 23168689
    {'hecke_orbit_code': 4504080747594880, 'n': 55, 'trace_an': 0}
  • id: 23168690
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  • id: 23168887
    {'hecke_orbit_code': 4504080747594880, 'n': 967, 'trace_an': 0}
  • id: 23168888
    {'hecke_orbit_code': 4504080747594880, 'n': 971, 'trace_an': 0}
  • id: 23168889
    {'hecke_orbit_code': 4504080747594880, 'n': 977, 'trace_an': 0}
  • id: 23168890
    {'hecke_orbit_code': 4504080747594880, 'n': 983, 'trace_an': 0}
  • id: 23168891
    {'hecke_orbit_code': 4504080747594880, 'n': 991, 'trace_an': 0}
  • id: 23168892
    {'hecke_orbit_code': 4504080747594880, 'n': 997, 'trace_an': 0}