Embedded newform data - 49.6.c.a.30.1

Formats: - HTML - YAML - JSON - 2024-04-25T02:31:20.321146

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 1764, 'analytic_conductor': 7.858807170836051, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [49, 3, [3], [2]], 'cm_discs': [-7], 'conrey_index': 18, 'conrey_indexes': [18, 30], 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [121, 11, 1]], [3, [0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 137539616817, 'hecke_ring_generator_nbound': 4, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, -7], [1, 1, 7, 3, 1, 3, 0], [1, 1, 7, 4, -1, 6, 0]], 'is_cm': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '49.6.c.a', 'level': 49, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'minimal_twist': '49.6.a.b', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q-11\\zeta_{6}q^{2}+(-89+89\\zeta_{6})q^{4}+627q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '5.2.1.d3', 'self_twist_discs': [-7], 'self_twist_type': 1, 'space_label': '49.6.c', 'trace_display': [-11, 0, 0, 0], 'trace_hash': 637504280237240417, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.926', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '17.431', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '214.344', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.506', 'prec': 17}, 'traces': [2, -11, 0, -89, 0, 0, 0, 1254, 243, 0, 76, 0, 0, 0, 0, -4049, 0, 2673, 0, 0, 0, -1672, 4952, 0, 3125, 0, 0, 0, 14564, 0, 0, -24475, 0, 0, 0, -43254, 8886, 0, 0, 0, 0, 0, 23496, 6764, 0, 54472, 0, 0, 0, -68750, 0, 0, -24550, 0, 0, 0, 0, -80102, 0, 0, 0, 0, 0, 279314, 0, 0, -69364, 0, 0, 0, -4448, 152361, 0, 97746, 0, 0, 0, 0, -80168, 0, -59049, 0, 0, 0, 0, -129228, 0, 47652, 0, 0, 0, -881456, 0, 0, 0, 0, 0, 0, 36936, 278125, 0, 0, 0, 0, 0, 540100, 64900, 0, 219582, 0, 0, 0, 246404, 0, 0, -648098, 0, 0, 0, 0, 155275, 0, 0, 0, 0, 0, -524128, -753027, 0, 0, 0, 0, 0, 1526008, 0, 0, 353450, 0, 0, 0, 0, 24464, 0, 983907, 0, 0, 0, -1581708, 337018, 0, 261624, 0, 0, 0, 0, 0, 0, -881848, 0, 0, 0, 1299078, -663100, 0, 0, 0, 0, 0, -742586, 0, 0, -1045572, 0, 0, 0, -615448, 0, 0, -584564, 0, 0, 0, 0, 3104904, 0, 0, 0, 0, 0, 0, -1003048, 0, 385902, 0, 0, 0, 771628, -203148, 0, 1959375, 0, 0, 0, 0, 0, 0, -1203336, 0, 0, 0, -2194104, -2184950, 0, 713900, 0, 0, 0, -4830804, 0, 0, 0, 0, 0, 0, 1518750, -1355222, 0, 0, 0, 0, 0, 9131628, 1279498, 0, 0, 0, 0, 0, 1447072, 0, 0, 1708025, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 752704, 2882704, 0, -3814273, 0, 0, 0, 0, 1769526, 0, -1531552, 0, 0, 0, 0, -6173396, 0, 0, 0, 0, 0, -7775900, -237500, 0, 2551450, 0, 0, 0, 5095948, 0, 0, 197936, 0, 0, 0, -11894850, 1419857, 0, 0, 0, 0, 0, 0, 5571522, 0, 3707198, 0, 0, 0, -5755728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14269904, 221714, 0, 553432, 0, 0, 0, 0, -5255361, 0, -7294100, 0, 0, 0, 0, -2971476, 0, -2159298, 0, 0, 0, -8319300, 4084223, 0, 0, 0, 0, 0, 14731992, 0, 0, -2298164, 0, 0, 0, 0, 1860100, 0, 0, 0, 0, 0, 12860408, -4268968, 0, 2476099, 0, 0, 0, 0, 0, 0, 20050648, 0, 0, 0, 0, -599302, 0, 0, 0, 0, 0, -11185464, 0, 0, -11033528, 0, 0, 0, -8489844, 2854764, 0, 1260118, 0, 0, 0, 0, -4243954, 0, -1643652, 0, 0, 0, -25306250, -6032926, 0, 0, 0, 0, 0, 1350672, 0, 0, 0, 0, 0, 0, 26473392, 0, 0, 0, 0, 0, 0, 4149548, 12067572, 0, -15392850, 0, 0, 0, -11552200, 0, 0, 7338848, 0, 0, 0, 0, 19542798, 0, 0, 0, 0, 0, 0, 5104900, 0, 0, 0, 0, 0, 3996164, -8353125, 0, -10964978, 0, 0, 0, 0, 5779686, 0, 0, 0, 0, 0, 5772400, -29484818, 0, 14074478, 0, 0, 0, 0, 0, 0, 892848, 0, 0, 0, -11931300, -7958896, 0, 0, 0, 0, 0, -27638950, 0, 0, 2761464, 0, 0, 0, 17654648, 0, 0, 0, 0, 0, 0, 0, 11120364, 0, 0, 0, 0, 0, 0, -4139872, 0, 23323696, 0, 0, 0, 35720278, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19464786, 0, 0, 0, 33694144, 0, 0, -18085961, 0, 0, 0, 0, 0, 0, -43491228, 0, 0, 0, 0, -11126126, 0, 0, 0, 0, 0, -4472072, 31457050, 0, -2612500, 0, 0, 0, -56131900, 0, 0, -6239486, 0, 0, 0, 0, -28027714, 0, 0, 0, 0, 0, -2788896, -10473782, 0, -6339124, 0, 0, 0, 30950000, 33936651, 0, 15618427, 0, 0, 0, 0, 1865800, 0, 0, 0, 0, 0, 0, 0, 0, 35979414, 0, 0, 0, -59989204, 0, 0, 7177568, 0, 0, 0, -33710904, 23284536, 0, 0, 0, 0, 0, 0, 0, 0, -17551402, 0, 0, 0, -14297972, 0, 0, 0, 0, 0, 0, 0, -9765625, 0, 0, 0, 0, 0, 39957152, -50265336, 0, 2438854, 0, 0, 0, -12175504, -540432, 0, 11496274, 0, 0, 0, 0, 0, 0, -37023723, 0, 0, 0, 118031800, -10977250, 0, 0, 0, 0, 0, -40446472, 0, 0, -32686236, 0, 0, 0, 47504556, 36060464, 0, 0, 0, 0, 0, 2768700, 45756150, 0, 33045077, 0, 0, 0, 0, 0, 0, 21314852, 0, 0, 0, 0, -47567652, 0, 0, 0, 0, 0, 50559608, 0, 0, 0, 0, 0, 0, 9772004, 0, 0, 10613932, 0, 0, 0, 0, 14322486, 0, 19480824, 0, 0, 0, 0, -52026196, 0, -46958648, 0, 0, 0, -54474178, 0, 0, 22756250, 0, 0, 0, -28697814, 0, 0, 0, 0, 0, 0, -242400400, 5271664, 0, 2648932, 0, 0, 0, 49900400, 0, 0, -6592322, 0, 0, 0, 0, -25108752, 0, 0, 0, 0, 0, -35774028, 61520052, 0, 0, 0, 0, 0, 178542544, 0, 0, 0, 0, 0, 0, 0, 34345278, 0, 31402404, 0, 0, 0, -27722596, 0, 0, -169024, 0, 0, 0, 0, 0, 0, -34337446, 0, 0, 0, 23158872, 0, 0, 0, 0, 0, 0, 0, 76484375, 0, -66362186, 0, 0, 0, 0, 0, 0, -18370682, 0, 0, 0, 0, -7428696, 0, 0, 0, 0, 0, 0, -35588102, 0, -7086752, 0, 0, 0, -73710472, -107096904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 65032750, -22822514, 0, 97637628, 0, 0, 0, 198805900, 0, 0, -44003472, 0, 0, 0, 0, 40692300, 0, 0, 0, 0, 0, -161454656, -27614248, 0, 0, 0, 0, 0, -12185536, 0, 0, 137677914, 0, 0, 0, 0, 43342750, 0, 0, 0, 0, 0, -78802104, 0, 0, 56153900, 0, 0, 0, 0, 4487724, 0, 0, 0, 0, 0, 0, -21978902, 0, -67584375, 0, 0, 0, 154495308, 0, 0, -44834700, 0, 0, 0, 97569952, 0, 0, 63576546, 0, 0, 0, 0, -50671632, 0, 0, 0, 0, 0, 55537500, -31748200, 0, -178226950, 0, 0, 0, -227750644, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -19642656, 55000900, 0, 0, 0, 0, 0, -19942604, 65622150, 0, -64394704, 0, 0, 0, 0, 28629151, 0, -15770700, 0, 0, 0, 40044400, 97357425, 0, 0, 0, 0, 0, -60752208, 0, 0, 49981714, 0, 0, 0, 106716852, -97100564, 0, 0, 0, 0, 0, 0, 58176096, 0, 57314424, 0, 0, 0, 0, 0, 0, 122324004, 0, 0], 'weight': 6, '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

  
  {'an_normalized': [[1.0, 0.0], [-0.9722718241315028, 1.684024198163435], [0.0, 0.0], [-1.390625, -2.40863315427547], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [3.463718373468479, 0.0], [0.5, -0.8660254037844386], [0.0, 0.0], [0.09468951317318196, 0.16400704775991368], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.97705078125, 3.424352402268742], [0.0, 0.0], [0.9722718241315028, 1.684024198163435], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.36825578279605437, 0.0], [0.9759578245847205, -1.6904085382251297], [0.0, 0.0], [0.5, 0.8660254037844386], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.60788757741414, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.112602352238861, -3.659134610267229], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.78125, 0.0], [0.5335461655206007, -0.9241290668652344], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9689308838655704, 0.0], [0.26335520851291233, -0.4561446015822599], [0.0, 0.0], [1.8977925887687987, 3.2870731859752285], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.9445436482630056, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6002495274012666, -1.0396626786782006], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.563303787890829, 2.707721588291795], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [4.261993408203125, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9438807460827306, -1.6348494085013079], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.052358706761022215, 0.0], [1.7318591867342394, -2.9996681029786183], [0.0, 0.0], [1.0375038072181666, 1.79700930714801], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7226089315929938, 1.2515953835221285], [0.0, 0.0], [-0.5, -0.8660254037844386], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9420641979133274, 1.6317030547775055], [0.0, 0.0], [0.32797780655273595, 0.5680742247043353], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-5.428765399252508, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.18937902634636392, 0.0], [1.390625, -2.40863315427547], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.334422811762008, 0.0], [0.27400296156460635, -0.4745870508542405], [0.0, 0.0], [0.8851166204925127, 1.5330669573166922], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.907656765812483, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.2359686623415382, -3.872811327307364], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4820677921900516, -0.8349659087657246], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.4417769005122725, 0.0], [-2.031213753191232, 3.5181654215598837], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [3.6708346190258414, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8044453996483275, 1.3933403041059538], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.05090689533170552, -0.08817332917010486], [0.0, 0.0], [1.97705078125, 3.424352402268742], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.9678505457083415, 0.0], [0.6218096108046619, -1.077005838548304], [0.0, 0.0], [0.4668799432865791, 0.808659782807231], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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': 1764, 'analytic_conductor': 7.858807170836051, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [49, 3, [3], [2]], 'conrey_index': 18, 'cusp_dim': 38, 'dim': 30, 'eis_dim': 16, 'eis_new_dim': 8, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 137539616817, 'hecke_orbit_dims': [2, 2, 2, 4, 4, 4, 4, 8], 'label': '49.6.c', 'level': 49, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'mf_dim': 54, 'mf_new_dim': 38, 'num_forms': 8, 'prim_orbit_index': 3, 'relative_dim': 15, 'sturm_bound': 28, 'trace_bound': 3, 'trace_display': [3, -8, -38, 0], 'traces': [30, 3, -8, -201, -38, 164, 0, -90, -1381, -778, 916, -196, 1848, 0, -2408, -4805, -2346, 1945, -360, 3416, 0, -4388, 1284, 1392, -39, 1148, -5744, 0, 16748, 5838, 3548, -16187, -3398, -14844, 0, -3046, 40596, 20138, 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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: 1550169
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 30, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616817, 'target_is_minimal': False, 'target_label': '49.6.c.a.30.1', 'target_level': 49, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 1550170
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728033841, 'target_is_minimal': True, 'target_label': '49.6.a.b.1.1', 'target_level': 49, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 1550171
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 18, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616817, 'target_is_minimal': False, 'target_label': '49.6.c.a.18.1', 'target_level': 49, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 1550172
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 18, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616817, 'target_is_minimal': False, 'target_label': '49.6.c.a.18.1', 'target_level': 49, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 1550173
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728033841, 'target_is_minimal': True, 'target_label': '49.6.a.b.1.1', 'target_level': 49, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 1550174
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 30, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616817, 'target_is_minimal': False, 'target_label': '49.6.c.a.30.1', 'target_level': 49, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 1550175
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663737, 'target_is_minimal': False, 'target_label': '441.6.a.a.1.1', 'target_level': 441, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 1550176
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 100663737, 'target_is_minimal': False, 'target_label': '441.6.a.a.1.1', 'target_level': 441, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 1550177
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597864887056, 'target_is_minimal': False, 'target_label': '784.6.a.g.1.1', 'target_level': 784, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 6}
  • id: 1550178
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 30, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616817, 'source_is_minimal': False, 'source_label': '49.6.c.a.30.1', 'source_level': 49, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597864887056, 'target_is_minimal': False, 'target_label': '784.6.a.g.1.1', 'target_level': 784, 'twist_class_label': '49.6.a.b.1.1', 'twist_class_level': 49, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 164175
    {'charpoly_factorization': [[[121, 11, 1], 1]], 'hecke_orbit_code': 137539616817, 'p': 2}
  • id: 164176
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 3}
  • id: 164177
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 5}
  • id: 164178
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 7}
  • id: 164179
    {'charpoly_factorization': [[[5776, -76, 1], 1]], 'hecke_orbit_code': 137539616817, 'p': 11}
  • id: 164180
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 13}
  • id: 164181
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 17}
  • id: 164182
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 19}
  • id: 164183
    {'charpoly_factorization': [[[24522304, -4952, 1], 1]], 'hecke_orbit_code': 137539616817, 'p': 23}
  • id: 164184
    {'charpoly_factorization': [[[-7282, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 29}
  • id: 164185
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 31}
  • id: 164186
    {'charpoly_factorization': [[[78960996, -8886, 1], 1]], 'hecke_orbit_code': 137539616817, 'p': 37}
  • id: 164187
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 41}
  • id: 164188
    {'charpoly_factorization': [[[-11748, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 43}
  • id: 164189
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 47}
  • id: 164190
    {'charpoly_factorization': [[[602702500, 24550, 1], 1]], 'hecke_orbit_code': 137539616817, 'p': 53}
  • id: 164191
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 59}
  • id: 164192
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 61}
  • id: 164193
    {'charpoly_factorization': [[[4811364496, 69364, 1], 1]], 'hecke_orbit_code': 137539616817, 'p': 67}
  • id: 164194
    {'charpoly_factorization': [[[2224, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 71}
  • id: 164195
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 73}
  • id: 164196
    {'charpoly_factorization': [[[6426908224, 80168, 1], 1]], 'hecke_orbit_code': 137539616817, 'p': 79}
  • id: 164197
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 83}
  • id: 164198
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, 'p': 89}
  • id: 164199
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137539616817, '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': 3, 'hecke_orbit': 1, 'label': '49.6.c.a', 'level': 49, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 23368000
    {'hecke_orbit_code': 137539616817, 'n': 1, 'trace_an': 2}
  • id: 23368001
    {'hecke_orbit_code': 137539616817, 'n': 2, 'trace_an': -11}
  • id: 23368002
    {'hecke_orbit_code': 137539616817, 'n': 3, 'trace_an': 0}
  • id: 23368003
    {'hecke_orbit_code': 137539616817, 'n': 4, 'trace_an': -89}
  • id: 23368004
    {'hecke_orbit_code': 137539616817, 'n': 5, 'trace_an': 0}
  • id: 23368005
    {'hecke_orbit_code': 137539616817, 'n': 6, 'trace_an': 0}
  • id: 23368006
    {'hecke_orbit_code': 137539616817, 'n': 7, 'trace_an': 0}
  • id: 23368007
    {'hecke_orbit_code': 137539616817, 'n': 8, 'trace_an': 1254}
  • id: 23368008
    {'hecke_orbit_code': 137539616817, 'n': 9, 'trace_an': 243}
  • id: 23368009
    {'hecke_orbit_code': 137539616817, 'n': 10, 'trace_an': 0}
  • id: 23368010
    {'hecke_orbit_code': 137539616817, 'n': 11, 'trace_an': 76}
  • id: 23368011
    {'hecke_orbit_code': 137539616817, 'n': 12, 'trace_an': 0}
  • id: 23368012
    {'hecke_orbit_code': 137539616817, 'n': 13, 'trace_an': 0}
  • id: 23368013
    {'hecke_orbit_code': 137539616817, 'n': 14, 'trace_an': 0}
  • id: 23368014
    {'hecke_orbit_code': 137539616817, 'n': 15, 'trace_an': 0}
  • id: 23368015
    {'hecke_orbit_code': 137539616817, 'n': 16, 'trace_an': -4049}
  • id: 23368016
    {'hecke_orbit_code': 137539616817, 'n': 17, 'trace_an': 0}
  • id: 23368017
    {'hecke_orbit_code': 137539616817, 'n': 18, 'trace_an': 2673}
  • id: 23368018
    {'hecke_orbit_code': 137539616817, 'n': 19, 'trace_an': 0}
  • id: 23368019
    {'hecke_orbit_code': 137539616817, 'n': 20, 'trace_an': 0}
  • id: 23368020
    {'hecke_orbit_code': 137539616817, 'n': 21, 'trace_an': 0}
  • id: 23368021
    {'hecke_orbit_code': 137539616817, 'n': 22, 'trace_an': -1672}
  • id: 23368022
    {'hecke_orbit_code': 137539616817, 'n': 23, 'trace_an': 4952}
  • id: 23368023
    {'hecke_orbit_code': 137539616817, 'n': 24, 'trace_an': 0}
  • id: 23368024
    {'hecke_orbit_code': 137539616817, 'n': 25, 'trace_an': 3125}
  • id: 23368025
    {'hecke_orbit_code': 137539616817, 'n': 26, 'trace_an': 0}
  • id: 23368026
    {'hecke_orbit_code': 137539616817, 'n': 27, 'trace_an': 0}
  • id: 23368027
    {'hecke_orbit_code': 137539616817, 'n': 28, 'trace_an': 0}
  • id: 23368028
    {'hecke_orbit_code': 137539616817, 'n': 29, 'trace_an': 14564}
  • id: 23368029
    {'hecke_orbit_code': 137539616817, 'n': 30, 'trace_an': 0}
  • id: 23368030
    {'hecke_orbit_code': 137539616817, 'n': 31, 'trace_an': 0}
  • id: 23368031
    {'hecke_orbit_code': 137539616817, 'n': 32, 'trace_an': -24475}
  • id: 23368032
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  • id: 23368035
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  • id: 23368036
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  • id: 23368037
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  • id: 23368038
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  • id: 23368040
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  • id: 23368042
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  • id: 23368043
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  • id: 23368044
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  • id: 23368045
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  • id: 23368046
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  • id: 23368047
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  • id: 23368048
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  • id: 23368049
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  • id: 23368050
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  • id: 23368078
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  • id: 23368080
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  • id: 23368100
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  • id: 23368137
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  • id: 23368142
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  • id: 23368143
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  • id: 23368146
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  • id: 23368148
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  • id: 23368168
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  • id: 23368240
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  • id: 23368241
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  • id: 23368352
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  • id: 23368911
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  • id: 23368912
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  • id: 23368913
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  • id: 23368914
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  • id: 23368915
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  • id: 23368924
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  • id: 23368925
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  • id: 23368927
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  • id: 23368931
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  • id: 23368938
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  • id: 23368939
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  • id: 23368946
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