Embedded newform data - 61.7.j.a.8.8

Formats: - HTML - YAML - JSON - 2024-06-12T15:59:14.405729

• 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': 2989, 'analytic_conductor': 14.033299100810911, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 61, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 20, 'char_parity': -1, 'char_values': [61, 20, [2], [1]], 'cm_discs': [], 'conrey_index': 8, 'dim': 240, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 618592731197, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 61, 10, -1, 20, 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': '61.7.j.a', 'level': 61, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [61], 'level_radical': 61, 'minimal_twist': '61.7.j.a', 'prim_orbit_index': 10, 'related_objects': [], 'relative_dim': 30, 'rm_discs': [], 'sato_tate_group': '6.2.3.c20', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '61.7.j', 'trace_display': [-16, -10, -230, 248], 'traces': [240, -16, -10, -10, -230, 1384, 248, 632, 13602, 1256, -1128, -2922, -2500, 0, 18726, 70002, -4010, 51414, -10, -69254, -47962, -6, 1888, -177422, 228644, 117514, -62410, -60166, 154546, -132584, -17928, -428258, 44454, -167910, -101034, 641510, 116574, -262448, -329300, -524818, 519110, -82532, 745560, 1335810, -120410, -10, 588192, 0, 5710, 97068, 297094, -1682120, -1503774, -1126786, 564038, 1572190, 555510, 937506, -48960, 0, 42668, -2163580, 2141384, -2703370, -836260, -6744010, -1823136, -787264, -810946, 2027862, 4427536, 2755822, 455594, 1925380, 0, -1199542, -3436182, 2415212, -2921256, -5044870, -7581422, 480560, 2764914, 5311480, 7048220, -2426786, 5291070, -3660970, -2695354, 8317796, -681472, -3392292, 4964430, 2757602, 5554934, 14100214, 2233430, 7768418, 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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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-0.47734372214964294, -0.003712124685704643, 0.15111895989512708, -0.3103222539318896, -0.40088941109964676, -0.1157773305297527, -0.11054776224280169, -0.33378904953192945, -0.25481604875754804, -0.24441638347625896, -0.011281891133179766, -0.03914226932978874, -0.47898839757172057], 'char_orbit_index': 10, 'conrey_index': 8, 'dual_conrey_index': 23, 'dual_embedding_index': 8, 'dual_embedding_m': 38, 'embedding_index': 8, 'embedding_m': 8, 'hecke_orbit': 1, 'hecke_orbit_code': 618592731197, 'label': '61.7.j.a.8.8', 'level': 61, 'weight': 7}
• mf_newspaces •

  Column	Type
  ALdims	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': 2989, 'analytic_conductor': 14.033299100810911, 'char_conductor': 61, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 20, 'char_parity': -1, 'char_values': [61, 20, [2], [1]], 'conrey_index': 8, 'cusp_dim': 240, 'dim': 240, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [], 'hecke_orbit_code': 618592731197, 'hecke_orbit_dims': [240], 'label': '61.7.j', 'level': 61, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [61], 'level_radical': 61, 'mf_dim': 256, 'mf_new_dim': 256, 'num_forms': 1, 'prim_orbit_index': 10, 'relative_dim': 30, 'sturm_bound': 36, 'trace_bound': 0, 'trace_display': [-16, -10, -230, 248], 'traces': [240, -16, -10, -10, -230, 1384, 248, 632, 13602, 1256, -1128, -2922, -2500, 0, 18726, 70002, -4010, 51414, -10, -69254, -47962, -6, 1888, -177422, 228644, 117514, 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'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: 7680263
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 8, 'source_dim': 240, 'source_embedding_index': 8, 'source_hecke_orbit_code': 618592731197, 'source_is_minimal': True, 'source_label': '61.7.j.a.8.8', 'source_level': 61, 'target_conrey_index': 8, 'target_dim': 240, 'target_embedding_index': 8, 'target_hecke_orbit_code': 618592731197, 'target_is_minimal': True, 'target_label': '61.7.j.a.8.8', 'target_level': 61, 'twist_class_label': '61.7.j.a.8.8', 'twist_class_level': 61, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 7}
  • id: 7680264
    {'conductor': 61, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 8, 'source_dim': 240, 'source_embedding_index': 8, 'source_hecke_orbit_code': 618592731197, 'source_is_minimal': True, 'source_label': '61.7.j.a.8.8', 'source_level': 61, 'target_conrey_index': 23, 'target_dim': 240, 'target_embedding_index': 8, 'target_hecke_orbit_code': 618592731197, 'target_is_minimal': True, 'target_label': '61.7.j.a.23.8', 'target_level': 61, 'twist_class_label': '61.7.j.a.8.8', 'twist_class_level': 61, 'twisting_char_label': '61.23', 'twisting_conrey_index': 23, 'weight': 7}
• hecke_orbit_code 618592731197 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': 10, 'hecke_orbit': 1, 'label': '61.7.j.a', 'level': 61, 'portrait': 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', 'weight': 7}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 10420170
    {'hecke_orbit_code': 618592731197, 'n': 1, 'trace_an': 240}
  • id: 10420171
    {'hecke_orbit_code': 618592731197, 'n': 2, 'trace_an': -16}
  • id: 10420172
    {'hecke_orbit_code': 618592731197, 'n': 3, 'trace_an': -10}
  • id: 10420173
    {'hecke_orbit_code': 618592731197, 'n': 4, 'trace_an': -10}
  • id: 10420174
    {'hecke_orbit_code': 618592731197, 'n': 5, 'trace_an': -230}
  • id: 10420175
    {'hecke_orbit_code': 618592731197, 'n': 6, 'trace_an': 1384}
  • id: 10420176
    {'hecke_orbit_code': 618592731197, 'n': 7, 'trace_an': 248}
  • id: 10420177
    {'hecke_orbit_code': 618592731197, 'n': 8, 'trace_an': 632}
  • id: 10420178
    {'hecke_orbit_code': 618592731197, 'n': 9, 'trace_an': 13602}
  • id: 10420179
    {'hecke_orbit_code': 618592731197, 'n': 10, 'trace_an': 1256}
  • id: 10420180
    {'hecke_orbit_code': 618592731197, 'n': 11, 'trace_an': -1128}
  • id: 10420181
    {'hecke_orbit_code': 618592731197, 'n': 12, 'trace_an': -2922}
  • id: 10420182
    {'hecke_orbit_code': 618592731197, 'n': 13, 'trace_an': -2500}
  • id: 10420183
    {'hecke_orbit_code': 618592731197, 'n': 14, 'trace_an': 0}
  • id: 10420184
    {'hecke_orbit_code': 618592731197, 'n': 15, 'trace_an': 18726}
  • id: 10420185
    {'hecke_orbit_code': 618592731197, 'n': 16, 'trace_an': 70002}
  • id: 10420186
    {'hecke_orbit_code': 618592731197, 'n': 17, 'trace_an': -4010}
  • id: 10420187
    {'hecke_orbit_code': 618592731197, 'n': 18, 'trace_an': 51414}
  • id: 10420188
    {'hecke_orbit_code': 618592731197, 'n': 19, 'trace_an': -10}
  • id: 10420189
    {'hecke_orbit_code': 618592731197, 'n': 20, 'trace_an': -69254}
  • id: 10420190
    {'hecke_orbit_code': 618592731197, 'n': 21, 'trace_an': -47962}
  • id: 10420191
    {'hecke_orbit_code': 618592731197, 'n': 22, 'trace_an': -6}
  • id: 10420192
    {'hecke_orbit_code': 618592731197, 'n': 23, 'trace_an': 1888}
  • id: 10420193
    {'hecke_orbit_code': 618592731197, 'n': 24, 'trace_an': -177422}
  • id: 10420194
    {'hecke_orbit_code': 618592731197, 'n': 25, 'trace_an': 228644}
  • id: 10420195
    {'hecke_orbit_code': 618592731197, 'n': 26, 'trace_an': 117514}
  • id: 10420196
    {'hecke_orbit_code': 618592731197, 'n': 27, 'trace_an': -62410}
  • id: 10420197
    {'hecke_orbit_code': 618592731197, 'n': 28, 'trace_an': -60166}
  • id: 10420198
    {'hecke_orbit_code': 618592731197, 'n': 29, 'trace_an': 154546}
  • id: 10420199
    {'hecke_orbit_code': 618592731197, 'n': 30, 'trace_an': -132584}
  • id: 10420200
    {'hecke_orbit_code': 618592731197, 'n': 31, 'trace_an': -17928}
  • id: 10420201
    {'hecke_orbit_code': 618592731197, 'n': 32, 'trace_an': -428258}
  • id: 10420202
    {'hecke_orbit_code': 618592731197, 'n': 33, 'trace_an': 44454}
  • id: 10420203
    {'hecke_orbit_code': 618592731197, 'n': 34, 'trace_an': -167910}
  • id: 10420204
    {'hecke_orbit_code': 618592731197, 'n': 35, 'trace_an': -101034}
  • id: 10420205
    {'hecke_orbit_code': 618592731197, 'n': 36, 'trace_an': 641510}
  • id: 10420206
    {'hecke_orbit_code': 618592731197, 'n': 37, 'trace_an': 116574}
  • id: 10420207
    {'hecke_orbit_code': 618592731197, 'n': 38, 'trace_an': -262448}
  • id: 10420208
    {'hecke_orbit_code': 618592731197, 'n': 39, 'trace_an': -329300}
  • id: 10420209
    {'hecke_orbit_code': 618592731197, 'n': 40, 'trace_an': -524818}
  • id: 10420210
    {'hecke_orbit_code': 618592731197, 'n': 41, 'trace_an': 519110}
  • id: 10420211
    {'hecke_orbit_code': 618592731197, 'n': 42, 'trace_an': -82532}
  • id: 10420212
    {'hecke_orbit_code': 618592731197, 'n': 43, 'trace_an': 745560}
  • id: 10420213
    {'hecke_orbit_code': 618592731197, 'n': 44, 'trace_an': 1335810}
  • id: 10420214
    {'hecke_orbit_code': 618592731197, 'n': 45, 'trace_an': -120410}
  • id: 10420215
    {'hecke_orbit_code': 618592731197, 'n': 46, 'trace_an': -10}
  • id: 10420216
    {'hecke_orbit_code': 618592731197, 'n': 47, 'trace_an': 588192}
  • id: 10420217
    {'hecke_orbit_code': 618592731197, 'n': 48, 'trace_an': 0}
  • id: 10420218
    {'hecke_orbit_code': 618592731197, 'n': 49, 'trace_an': 5710}
  • id: 10420219
    {'hecke_orbit_code': 618592731197, 'n': 50, 'trace_an': 97068}
  • id: 10420220
    {'hecke_orbit_code': 618592731197, 'n': 51, 'trace_an': 297094}
  • id: 10420221
    {'hecke_orbit_code': 618592731197, 'n': 52, 'trace_an': -1682120}
  • id: 10420222
    {'hecke_orbit_code': 618592731197, 'n': 53, 'trace_an': -1503774}
  • id: 10420223
    {'hecke_orbit_code': 618592731197, 'n': 54, 'trace_an': -1126786}
  • id: 10420224
    {'hecke_orbit_code': 618592731197, 'n': 55, 'trace_an': 564038}
  • id: 10420225
    {'hecke_orbit_code': 618592731197, 'n': 56, 'trace_an': 1572190}
  • id: 10420226
    {'hecke_orbit_code': 618592731197, 'n': 57, 'trace_an': 555510}
  • id: 10420227
    {'hecke_orbit_code': 618592731197, 'n': 58, 'trace_an': 937506}
  • id: 10420228
    {'hecke_orbit_code': 618592731197, 'n': 59, 'trace_an': -48960}
  • id: 10420229
    {'hecke_orbit_code': 618592731197, 'n': 60, 'trace_an': 0}
  • id: 10420230
    {'hecke_orbit_code': 618592731197, 'n': 61, 'trace_an': 42668}
  • id: 10420231
    {'hecke_orbit_code': 618592731197, 'n': 62, 'trace_an': -2163580}
  • id: 10420232
    {'hecke_orbit_code': 618592731197, 'n': 63, 'trace_an': 2141384}
  • id: 10420233
    {'hecke_orbit_code': 618592731197, 'n': 64, 'trace_an': -2703370}
  • id: 10420234
    {'hecke_orbit_code': 618592731197, 'n': 65, 'trace_an': -836260}
  • id: 10420235
    {'hecke_orbit_code': 618592731197, 'n': 66, 'trace_an': -6744010}
  • id: 10420236
    {'hecke_orbit_code': 618592731197, 'n': 67, 'trace_an': -1823136}
  • id: 10420237
    {'hecke_orbit_code': 618592731197, 'n': 68, 'trace_an': -787264}
  • id: 10420238
    {'hecke_orbit_code': 618592731197, 'n': 69, 'trace_an': -810946}
  • id: 10420239
    {'hecke_orbit_code': 618592731197, 'n': 70, 'trace_an': 2027862}
  • id: 10420240
    {'hecke_orbit_code': 618592731197, 'n': 71, 'trace_an': 4427536}
  • id: 10420241
    {'hecke_orbit_code': 618592731197, 'n': 72, 'trace_an': 2755822}
  • id: 10420242
    {'hecke_orbit_code': 618592731197, 'n': 73, 'trace_an': 455594}
  • id: 10420243
    {'hecke_orbit_code': 618592731197, 'n': 74, 'trace_an': 1925380}
  • id: 10420244
    {'hecke_orbit_code': 618592731197, 'n': 75, 'trace_an': 0}
  • id: 10420245
    {'hecke_orbit_code': 618592731197, 'n': 76, 'trace_an': -1199542}
  • id: 10420246
    {'hecke_orbit_code': 618592731197, 'n': 77, 'trace_an': -3436182}
  • id: 10420247
    {'hecke_orbit_code': 618592731197, 'n': 78, 'trace_an': 2415212}
  • id: 10420248
    {'hecke_orbit_code': 618592731197, 'n': 79, 'trace_an': -2921256}
  • id: 10420249
    {'hecke_orbit_code': 618592731197, 'n': 80, 'trace_an': -5044870}
  • id: 10420250
    {'hecke_orbit_code': 618592731197, 'n': 81, 'trace_an': -7581422}
  • id: 10420251
    {'hecke_orbit_code': 618592731197, 'n': 82, 'trace_an': 480560}
  • id: 10420252
    {'hecke_orbit_code': 618592731197, 'n': 83, 'trace_an': 2764914}
  • id: 10420253
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