Embedded newform data - 95.11.n.a.21.15

Formats: - HTML - YAML - JSON - 2025-12-16T06:40:08.801100

• 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': 11495, 'analytic_conductor': 60.35893900400379, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 19, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 18, 'char_parity': -1, 'char_values': [95, 18, [77, 21], [18, 1]], 'cm_discs': [], 'conrey_index': 21, 'dim': 396, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 893537747039, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 19, 6, -1, 18, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '95.11.n.a', 'level': 95, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [5, 19], 'level_radical': 95, 'minimal_twist': '95.11.n.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 66, 'rm_discs': [], 'sato_tate_group': '10.2.3.c18', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '95.11.n', 'trace_display': [0, 132, 0, 0], 'traces': [396, 0, 132, -1830, 0, 3066, 0, 0, -95436, -93750, 0, 2985984, -2110026, 1224960, 0, -6809430, 532380, 0, -7959948, 0, -9580518, -31211136, -13532700, 21417984, 0, -159720, -183408156, 144654336, -140983194, -119625000, 122776776, 393148500, -359004150, -578370492, -59812500, -640932912, 0, 503327622, 1302975096, -96000000, -1194423528, -3390185778, -670104582, 2150443914, 0, 3016431090, -151507770, 364629606, -8225668806, 0, 3009006312, -2363609406, -4515798744, -9311985042, 0, 0, 952636938, 4039140864, 5041664862, -2779312500, 5128963260, -4033454760, -12114094326, 11990621196, -3916687500, -1806217476, 6379678362, 18479546670, 14567082498, -1621125000, -1788156144, -16923552852, -26786299530, 15012453948, 0, 18346685868, 6003303804, 69668310660, 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-19187665947029316, 11285050637353716, 1975341796875000], 'weight': 11, 'weight_parity': -1}
• 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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-0.3443268558435119, -0.13475371731260613, -0.46847931825743466, -0.398955407460831, -0.46962763405356944], 'char_orbit_index': 14, 'conrey_index': 21, 'dual_conrey_index': 86, 'dual_embedding_index': 15, 'dual_embedding_m': 279, 'embedding_index': 15, 'embedding_m': 15, 'hecke_orbit': 1, 'hecke_orbit_code': 893537747039, 'label': '95.11.n.a.21.15', 'level': 95, 'weight': 11}
• 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': 11495, 'analytic_conductor': 60.35893900400379, 'char_conductor': 19, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 18, 'char_parity': -1, 'char_values': [95, 18, [77, 21], [18, 1]], 'conrey_index': 21, 'cusp_dim': 588, 'dim': 396, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_orbit_code': 893537747039, 'hecke_orbit_dims': [396], 'label': '95.11.n', 'level': 95, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [5, 19], 'level_radical': 95, 'mf_dim': 612, 'mf_new_dim': 396, 'num_forms': 1, 'prim_orbit_index': 6, 'relative_dim': 66, 'sturm_bound': 110, 'trace_bound': 0, 'trace_display': [0, 132, 0, 0], 'traces': [396, 0, 132, -1830, 0, 3066, 0, 0, -95436, -93750, 0, 2985984, -2110026, 1224960, 0, -6809430, 532380, 0, -7959948, 0, -9580518, -31211136, -13532700, 21417984, 0, -159720, 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• 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: 11505105
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 21, 'source_dim': 396, 'source_embedding_index': 15, 'source_hecke_orbit_code': 893537747039, 'source_is_minimal': True, 'source_label': '95.11.n.a.21.15', 'source_level': 95, 'target_conrey_index': 21, 'target_dim': 396, 'target_embedding_index': 15, 'target_hecke_orbit_code': 893537747039, 'target_is_minimal': True, 'target_label': '95.11.n.a.21.15', 'target_level': 95, 'twist_class_label': '95.11.n.a.21.15', 'twist_class_level': 95, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 11}
  • id: 11505106
    {'conductor': 19, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 21, 'source_dim': 396, 'source_embedding_index': 15, 'source_hecke_orbit_code': 893537747039, 'source_is_minimal': True, 'source_label': '95.11.n.a.21.15', 'source_level': 95, 'target_conrey_index': 86, 'target_dim': 396, 'target_embedding_index': 15, 'target_hecke_orbit_code': 893537747039, 'target_is_minimal': True, 'target_label': '95.11.n.a.86.15', 'target_level': 95, 'twist_class_label': '95.11.n.a.21.15', 'twist_class_level': 95, 'twisting_char_label': '19.10', 'twisting_conrey_index': 10, 'weight': 11}
• hecke_orbit_code 893537747039 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 14, 'hecke_orbit': 1, 'label': '95.11.n.a', 'level': 95, 'portrait': 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', 'weight': 11}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 11623740
    {'hecke_orbit_code': 893537747039, 'n': 1, 'trace_an': 396}
  • id: 11623741
    {'hecke_orbit_code': 893537747039, 'n': 2, 'trace_an': 0}
  • id: 11623742
    {'hecke_orbit_code': 893537747039, 'n': 3, 'trace_an': 132}
  • id: 11623743
    {'hecke_orbit_code': 893537747039, 'n': 4, 'trace_an': -1830}
  • id: 11623744
    {'hecke_orbit_code': 893537747039, 'n': 5, 'trace_an': 0}
  • id: 11623745
    {'hecke_orbit_code': 893537747039, 'n': 6, 'trace_an': 3066}
  • id: 11623746
    {'hecke_orbit_code': 893537747039, 'n': 7, 'trace_an': 0}
  • id: 11623747
    {'hecke_orbit_code': 893537747039, 'n': 8, 'trace_an': 0}
  • id: 11623748
    {'hecke_orbit_code': 893537747039, 'n': 9, 'trace_an': -95436}
  • id: 11623749
    {'hecke_orbit_code': 893537747039, 'n': 10, 'trace_an': -93750}
  • id: 11623750
    {'hecke_orbit_code': 893537747039, 'n': 11, 'trace_an': 0}
  • id: 11623751
    {'hecke_orbit_code': 893537747039, 'n': 12, 'trace_an': 2985984}
  • id: 11623752
    {'hecke_orbit_code': 893537747039, 'n': 13, 'trace_an': -2110026}
  • id: 11623753
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