Embedded newform data - 160.5.m.a.113.9

Formats: - HTML - YAML - JSON - 2026-10-23T23:03:35.332087

• 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': 4000, 'analytic_conductor': 16.53919409341509, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 40, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 4, 'char_parity': -1, 'char_values': [160, 4, [31, 101, 97], [4, 2, 1]], 'cm_discs': [], 'conrey_index': 17, 'dim': 44, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 824717607072, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 40, 9, -1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '160.5.m.a', 'level': 160, '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': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '40.5.i.a', 'prim_orbit_index': 9, 'related_objects': [], 'relative_dim': 22, 'rm_discs': [], 'sato_tate_group': '4.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '160.5.m', 'trace_display': [0, 0, 0, 4], 'traces': [44, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 236, 0, 0, 0, 0, 0, 4, 0, 332, 0, 0, 0, 0, 0, 264, 0, 320, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 5764, 0, 0, 0, 0, 0, 0, 0, -2496, 0, -328, 0, 0, 0, 0, 0, -9924, 0, -3700, 0, 0, 0, 0, 0, 19976, 0, 13196, 0, 0, 0, 0, 0, 0, 0, -13812, 0, 0, 0, 0, 0, -48952, 0, 0, 0, 0, 0, 0, 0, 27848, 0, 3276, 0, 0, 0, 0, 0, 25604, 0, -14208, 0, 0, 0, 0, 0, -80888, 0, 8396, 0, 0, 0, 0, 0, 0, 0, -5332, 0, 0, 0, 0, 0, 97284, 0, 0, 0, 0, 0, 0, 0, -13696, 0, 18476, 0, 0, 0, 0, 0, -39360, 0, -23560, 0, 0, 0, 0, 0, 121864, 0, -5836, 0, 0, 0, 0, 0, 0, 0, 9592, 0, 0, 0, 0, 0, -120956, 0, 0, 0, 0, 0, 0, 0, 33924, 0, 41912, 0, 0, 0, 0, 0, 20160, 0, 64364, 0, 0, 0, 0, 0, -244216, 0, -53204, 0, 0, 0, 0, 0, 0, 0, -28872, 0, 0, 0, 0, 0, 265284, 0, 0, 0, 0, 0, 0, 0, -40316, 0, -27208, 0, 0, 0, 0, 0, 118404, 0, 196928, 0, 0, 0, 0, 0, 239488, 0, -26644, 0, 0, 0, 0, 0, 0, 0, -106696, 0, 0, 0, 0, 0, -215992, 0, 0, 0, 0, 0, 0, 0, -323776, 0, -217204, 0, 0, 0, 0, 0, -215036, 0, -93396, 0, 0, 0, 0, 0, -120312, 0, 280968, 0, 0, 0, 0, 0, 0, 0, -27464, 0, 0, 0, 0, 0, 23048, 0, 0, 0, 0, 0, 0, 0, 534344, 0, -31680, 0, 0, 0, 0, 0, 729280, 0, -373152, 0, 0, 0, 0, 0, -125944, 0, -143924, 0, 0, 0, 0, 0, 0, 0, 468408, 0, 0, 0, 0, 0, -54072, 0, 0, 0, 0, 0, 0, 0, -817532, 0, 370476, 0, 0, 0, 0, 0, -1025280, 0, 140536, 0, 0, 0, 0, 0, -128000, 0, -648724, 0, 0, 0, 0, 0, 0, 0, 143044, 0, 0, 0, 0, 0, 92164, 0, 0, 0, 0, 0, 0, 0, 1602308, 0, 89752, 0, 0, 0, 0, 0, 1200004, 0, 525696, 0, 0, 0, 0, 0, 515336, 0, 451840, 0, 0, 0, 0, 0, 0, 0, -752168, 0, 0, 0, 0, 0, -354240, 0, 0, 0, 0, 0, 0, 0, -1711996, 0, -373768, 0, 0, 0, 0, 0, -2239044, 0, -469684, 0, 0, 0, 0, 0, -13048, 0, 947596, 0, 0, 0, 0, 0, 0, 0, 27092, 0, 0, 0, 0, 0, 683208, 0, 0, 0, 0, 0, 0, 0, 2387904, 0, 162316, 0, 0, 0, 0, 0, 2044164, 0, -1064584, 0, 0, 0, 0, 0, 829960, 0, -540480, 0, 0, 0, 0, 0, 0, 0, 520664, 0, 0, 0, 0, 0, -778236, 0, 0, 0, 0, 0, 0, 0, -3327104, 0, 759352, 0, 0, 0, 0, 0, -3008636, 0, 841408, 0, 0, 0, 0, 0, -1220088, 0, -1193920, 0, 0, 0, 0, 0, 0, 0, -238568, 0, 0, 0, 0, 0, 1305608, 0, 0, 0, 0, 0, 0, 0, 2994948, 0, -515848, 0, 0, 0, 0, 0, 4222400, 0, 1504504, 0, 0, 0, 0, 0, 2132368, 0, 1109440, 0, 0, 0, 0, 0, 0, 0, -557184, 0, 0, 0, 0, 0, -3109756, 0, 0, 0, 0, 0, 0, 0, -3916412, 0, -1664244, 0, 0, 0, 0, 0, -3854400, 0, -1068172, 0, 0, 0, 0, 0, -4165624, 0, 1250156, 0, 0, 0, 0, 0, 0, 0, 460728, 0, 0, 0, 0, 0, 3653124, 0, 0, 0, 0, 0, 0, 0, 5453064, 0, -100564, 0, 0, 0, 0, 0, 5233920, 0, -2010708, 0, 0, 0, 0, 0, 4474376, 0, -1680640, 0, 0, 0, 0, 0, 0, 0, 1859896, 0, 0, 0, 0, 0, -4705916, 0, 0, 0, 0, 0, 0, 0, -4943552, 0, 1975596, 0, 0, 0, 0, 0, -6464648, 0, 1607992, 0, 0, 0, 0, 0, -4867968, 0, -2252404, 0, 0, 0, 0, 0, 0, 0, 524472, 0, 0, 0, 0, 0, 7254088, 0, 0, 0, 0, 0, 0, 0, 5952968, 0, 799032, 0, 0, 0, 0, 0, 6162248, 0, 2234560, 0, 0, 0, 0, 0, 6780672, 0, 705592, 0, 0, 0, 0, 0, 0, 0, -1747976, 0, 0, 0, 0, 0, -6270076, 0, 0, 0, 0, 0, 0, 0, -9418436, 0, -1360320, 0, 0, 0, 0, 0, -7201916, 0, -2090056, 0, 0, 0, 0, 0, -7799544, 0, 2968000, 0, 0, 0, 0, 0, 0, 0, -1132328, 0, 0, 0, 0, 0, 7197128, 0, 0, 0, 0, 0, 0, 0, 8134408, 0, -656968, 0, 0, 0, 0, 0, 11288960, 0, -570292, 0, 0, 0, 0, 0, 8795912, 0, -1812640, 0, 0, 0, 0, 0, 0, 0, 1463488, 0, 0, 0, 0, 0, -10280632, 0, 0, 0, 0, 0, 0, 0, -10733180, 0, 546232, 0, 0, 0, 0, 0, -10638076, 0, 1515136, 0, 0, 0, 0, 0, -11906296, 0, -835916, 0, 0, 0, 0, 0, 0, 0, -241724, 0, 0, 0, 0, 0, 9222084, 0, 0, 0, 0, 0, 0, 0, 16363264, 0, 1367276, 0, 0, 0, 0, 0, 13013764, 0, 678284, 0, 0, 0, 0, 0, 7980040, 0, 3425684, 0, 0, 0, 0, 0, 0, 0, -2934920, 0, 0, 0, 0, 0, -8770556, 0, 0, 0, 0, 0, 0, 0, -13815736, 0, -2108168, 0, 0, 0, 0, 0, -18961288, 0, 222720, 0, 0, 0, 0, 0, -7583224, 0, -329600, 0, 0, 0, 0, 0, 0, 0, -3012424, 0, 0, 0, 0, 0, 12664644, 0, 0, 0, 0, 0, 0, 0, 16406976, 0, -3630484, 0, 0, 0, 0, 0, 15333768, 0, -1894720, 0, 0, 0, 0, 0, 12084232, 0, -1021684, 0, 0, 0, 0, 0, 0, 0, 1908676, 0, 0, 0, 0, 0, -10924796, 0, 0, 0, 0, 0, 0, 0, -22578176, 0, 4412876, 0, 0, 0, 0, 0, -17683196, 0, 1130444, 0, 0, 0, 0, 0, -10561016, 0, 168320, 0, 0, 0, 0, 0, 0, 0], 'weight': 5, '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], [0.0, 0.0], [-0.34479391073367094, 0.34479391073367094], [0.0, 0.0], [-0.7513743309364371, 0.659876211732035], [0.0, 0.0], [1.0811863209613455, -1.0811863209613455], [0.0, 0.0], [0.0, 0.7622343182419626], [0.0, 0.0], [0.0, 0.7932705552403073], [0.0, 0.0], [0.14075616285112383, -0.14075616285112383], [0.0, 0.0], [0.0315479943452614, -0.4865905936316779], [0.0, 0.0], [-0.6502182049888817, 0.6502182049888817], [0.0, 0.0], [-0.8662994468067873, 0.0], [0.0, 0.0], [0.0, 0.7455729196720245], [0.0, 0.0], [-1.2441832698048347, -1.2441832698048347], [0.0, 0.0], [0.129126770380357, -0.991628094182057], [0.0, 0.0], [-0.6076076622157308, -0.6076076622157308], [0.0, 0.0], [-1.5473892222563783, 0.0], [0.0, 0.0], [0.22387491499114576, 0.0], [0.0, 0.0], [-0.2735148570111761, -0.2735148570111761], [0.0, 0.0], [-0.09892651487749012, 1.5258247821824276], [0.0, 0.0], [0.6472125273238739, 0.6472125273238739], [0.0, 0.0], [0.0, 0.09706373569860889], [0.0, 0.0], [-0.7190401309780007, 0.0], [0.0, 0.0], [-0.22380736497580256, 0.22380736497580256], [0.0, 0.0], [-0.5029802943736568, -0.572723300885846], [0.0, 0.0], [-0.33437463336008305, 0.33437463336008305], [0.0, 0.0], [0.0, -1.337927721267859], [0.0, 0.0], [0.0, -0.4483825554566885], [0.0, 0.0], [-0.9919125123881042, 0.9919125123881042], [0.0, 0.0], [-0.5234603688705419, -0.5960431326952619], [0.0, 0.0], [0.29869477413092793, -0.29869477413092793], [0.0, 0.0], [-0.3992710508421494, 0.0], [0.0, 0.0], [0.0, -0.7509398234753091], [0.0, 0.0], [0.824117318250507, 0.824117318250507], [0.0, 0.0], [-0.012878924167306361, 0.19864221120758035], [0.0, 0.0], [0.09729679095455801, 0.09729679095455801], [0.0, 0.0], [0.8579736305308301, 0.0], [0.0, 0.0], [-0.3795780358243838, 0.0], [0.0, 0.0], [0.9440251666529809, 0.9440251666529809], [0.0, 0.0], [0.2973852044465564, 0.38642945272626045], [0.0, 0.0], [0.8576732731472316, 0.8576732731472316], [0.0, 0.0], [0.0, 0.22603366605720215], [0.0, 0.0], [-0.34323547414775235, 0.0], [0.0, 0.0], [1.0259010407267721, -1.0259010407267721], [0.0, 0.0], [0.05949374282894505, -0.9176207946434791], [0.0, 0.0], [0.5335303813689103, -0.5335303813689103], [0.0, 0.0], [0.0, 1.6166891013364364], [0.0, 0.0], [0.0, -0.3043672757312852], [0.0, 0.0], [-0.07719070745496528, 0.07719070745496528], [0.0, 0.0], [0.6509151672350554, -0.5716503971844203], [0.0, 0.0], [-0.2080129084530581, 0.2080129084530581], [0.0, 0.0], [-0.6046580408550188, 0.0], [0.0, 0.0]], 'angles': [None, -0.41419802684450996, None, -0.23648947055870773, 0.06491111454009406, -0.35913309569196444, -0.45103473853141607, -0.32129893394781056, -0.453848103951757, -0.3907967526838609, -0.23214718449070235, -0.04934593133805784, -0.3085297903725614, -0.4002935155819806, -0.41299010214044923, -0.498717985874259, -0.2819879065741756, -0.4387406688220256, -0.11404160737395731, -0.28039019940320026, -0.008676521671813802, 0.01802570054408971, -0.245822417085871, 0.14981806512670987, -0.3984949196214056, -0.3514043429325556, -0.11157814369166243, -0.1490777647515845, -0.20263268503468898, -0.0810789604360676, -0.4308425028474472, 0.01678350275174428, -0.2711505728191711, -0.43589474008678125, -0.2773400029917389, -0.33844495331541996, -0.20910338249614543, -0.4935475112904406, -0.313420665227304, -0.42124780945422285, -0.12353637963995742, 0.015982596600717977, -0.3185002428377638, -0.003295099401141452, -0.01483805508076462, -0.4873586322437709, -0.4082237171055471, -0.06663015267492006, 0.051608393034184095, -0.33167051599267444, -0.13612859028190685, 0.17817992166394467, -0.20758103526298297, -0.4503287717322641, -0.4880696276856025, -0.12144142970895079, -0.23637199587571586, -0.18549998654093294, -0.2040842578157822, -0.25501111820290523, -0.39580109169067257, -0.2917797214505125, -0.05711478963493546, -0.2585317241393375, -0.11454538202219791, -0.053843101406106444, -0.4697234175514568, -0.3646121927039016, -0.11426904292958408, -0.12710488392759559, -0.14399259312798687, -0.4421531820386068, -0.2948341644298214, 0.266557133319744, -0.46798127239427445, -0.21110118292651542, -0.24866089324147234, -0.14625805682548462, -0.21680650762365677, -0.338036194775241, -0.13764290869447676, 0.05262960993992281, -0.3982516445814805, -0.24878532199801057, 0.12038605088869199, -0.3387861576435567, -0.48539923814766034, -0.467403831793727, 0.059359312281706725, -0.1576871844736529, -0.49712892432898503, -0.4825761696990308, -0.39748720206231275, 0.1360543726552521, -0.266373105833901, -0.1421329707676445, -0.18362758842107768, -0.23579426692403507, -0.27657317840904055, 0.07141996968472555], 'char_orbit_index': 13, 'conrey_index': 113, 'dual_conrey_index': 17, 'dual_embedding_index': 9, 'dual_embedding_m': 9, 'embedding_index': 9, 'embedding_m': 31, 'hecke_orbit': 1, 'hecke_orbit_code': 824717607072, 'label': '160.5.m.a.113.9', 'level': 160, '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': 4000, 'analytic_conductor': 16.53919409341509, 'char_conductor': 40, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 4, 'char_parity': -1, 'char_values': [160, 4, [31, 101, 97], [4, 2, 1]], 'conrey_index': 17, 'cusp_dim': 176, 'dim': 44, 'eis_dim': 32, 'eis_new_dim': 8, 'hecke_cutter_primes': [], 'hecke_orbit_code': 824717607072, 'hecke_orbit_dims': [44], 'label': '160.5.m', 'level': 160, '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': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 208, 'mf_new_dim': 52, 'num_forms': 1, 'prim_orbit_index': 9, 'relative_dim': 22, 'sturm_bound': 120, 'trace_bound': 0, 'trace_display': [0, 0, 0, 4], 'traces': [44, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 236, 0, 0, 0, 0, 0, 4, 0, 332, 0, 0, 0, 0, 0, 264, 0, 320, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 5764, 0, 0, 0, 0, 0, 0, 0, -2496, 0, -328, 0, 0, 0, 0, 0, -9924, 0, -3700, 0, 0, 0, 0, 0, 19976, 0, 13196, 0, 0, 0, 0, 0, 0, 0, -13812, 0, 0, 0, 0, 0, -48952, 0, 0, 0, 0, 0, 0, 0, 27848, 0, 3276, 0, 0, 0, 0, 0, 25604, 0, -14208, 0, 0, 0, 0, 0, -80888, 0, 8396, 0, 0, 0, 0, 0, 0, 0, -5332, 0, 0, 0, 0, 0, 97284, 0, 0, 0, 0, 0, 0, 0, -13696, 0, 18476, 0, 0, 0, 0, 0, -39360, 0, -23560, 0, 0, 0, 0, 0, 121864, 0, -5836, 0, 0, 0, 0, 0, 0, 0, 9592, 0, 0, 0, 0, 0, -120956, 0, 0, 0, 0, 0, 0, 0, 33924, 0, 41912, 0, 0, 0, 0, 0, 20160, 0, 64364, 0, 0, 0, 0, 0, -244216, 0, -53204, 0, 0, 0, 0, 0, 0, 0, -28872, 0, 0, 0, 0, 0, 265284, 0, 0, 0, 0, 0, 0, 0, -40316, 0, -27208, 0, 0, 0, 0, 0, 118404, 0, 196928, 0, 0, 0, 0, 0, 239488, 0, -26644, 0, 0, 0, 0, 0, 0, 0, -106696, 0, 0, 0, 0, 0, -215992, 0, 0, 0, 0, 0, 0, 0, -323776, 0, -217204, 0, 0, 0, 0, 0, -215036, 0, -93396, 0, 0, 0, 0, 0, -120312, 0, 280968, 0, 0, 0, 0, 0, 0, 0, -27464, 0, 0, 0, 0, 0, 23048, 0, 0, 0, 0, 0, 0, 0, 534344, 0, -31680, 0, 0, 0, 0, 0, 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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: 10644905
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 113, 'source_dim': 44, 'source_embedding_index': 9, 'source_hecke_orbit_code': 824717607072, 'source_is_minimal': False, 'source_label': '160.5.m.a.113.9', 'source_level': 160, 'target_conrey_index': 113, 'target_dim': 44, 'target_embedding_index': 9, 'target_hecke_orbit_code': 824717607072, 'target_is_minimal': False, 'target_label': '160.5.m.a.113.9', 'target_level': 160, 'twist_class_label': '40.5.i.a.13.2', 'twist_class_level': 40, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 5}
  • id: 10644906
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 113, 'source_dim': 44, 'source_embedding_index': 9, 'source_hecke_orbit_code': 824717607072, 'source_is_minimal': False, 'source_label': '160.5.m.a.113.9', 'source_level': 160, 'target_conrey_index': 13, 'target_dim': 44, 'target_embedding_index': 11, 'target_hecke_orbit_code': 549839700008, 'target_is_minimal': True, 'target_label': '40.5.i.a.13.11', 'target_level': 40, 'twist_class_label': '40.5.i.a.13.2', 'twist_class_level': 40, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 5}
  • id: 10644907
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 113, 'source_dim': 44, 'source_embedding_index': 9, 'source_hecke_orbit_code': 824717607072, 'source_is_minimal': False, 'source_label': '160.5.m.a.113.9', 'source_level': 160, 'target_conrey_index': 17, 'target_dim': 44, 'target_embedding_index': 14, 'target_hecke_orbit_code': 824717607072, 'target_is_minimal': False, 'target_label': '160.5.m.a.17.14', 'target_level': 160, 'twist_class_label': '40.5.i.a.13.2', 'twist_class_level': 40, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 5}
  • id: 10644908
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 113, 'source_dim': 44, 'source_embedding_index': 9, 'source_hecke_orbit_code': 824717607072, 'source_is_minimal': False, 'source_label': '160.5.m.a.113.9', 'source_level': 160, 'target_conrey_index': 13, 'target_dim': 44, 'target_embedding_index': 2, 'target_hecke_orbit_code': 549839700008, 'target_is_minimal': True, 'target_label': '40.5.i.a.13.2', 'target_level': 40, 'twist_class_label': '40.5.i.a.13.2', 'twist_class_level': 40, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 5}
  • id: 10644909
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 113, 'source_dim': 44, 'source_embedding_index': 9, 'source_hecke_orbit_code': 824717607072, 'source_is_minimal': False, 'source_label': '160.5.m.a.113.9', 'source_level': 160, 'target_conrey_index': 113, 'target_dim': 44, 'target_embedding_index': 14, 'target_hecke_orbit_code': 824717607072, 'target_is_minimal': False, 'target_label': '160.5.m.a.113.14', 'target_level': 160, 'twist_class_label': '40.5.i.a.13.2', 'twist_class_level': 40, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 5}
  • id: 10644910
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 113, 'source_dim': 44, 'source_embedding_index': 9, 'source_hecke_orbit_code': 824717607072, 'source_is_minimal': False, 'source_label': '160.5.m.a.113.9', 'source_level': 160, 'target_conrey_index': 37, 'target_dim': 44, 'target_embedding_index': 2, 'target_hecke_orbit_code': 549839700008, 'target_is_minimal': True, 'target_label': '40.5.i.a.37.2', 'target_level': 40, 'twist_class_label': '40.5.i.a.13.2', 'twist_class_level': 40, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 5}
  • id: 10644911
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 113, 'source_dim': 44, 'source_embedding_index': 9, 'source_hecke_orbit_code': 824717607072, 'source_is_minimal': False, 'source_label': '160.5.m.a.113.9', 'source_level': 160, 'target_conrey_index': 37, 'target_dim': 44, 'target_embedding_index': 11, 'target_hecke_orbit_code': 549839700008, 'target_is_minimal': True, 'target_label': '40.5.i.a.37.11', 'target_level': 40, 'twist_class_label': '40.5.i.a.13.2', 'twist_class_level': 40, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 5}
  • id: 10644912
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 113, 'source_dim': 44, 'source_embedding_index': 9, 'source_hecke_orbit_code': 824717607072, 'source_is_minimal': False, 'source_label': '160.5.m.a.113.9', 'source_level': 160, 'target_conrey_index': 17, 'target_dim': 44, 'target_embedding_index': 9, 'target_hecke_orbit_code': 824717607072, 'target_is_minimal': False, 'target_label': '160.5.m.a.17.9', 'target_level': 160, 'twist_class_label': '40.5.i.a.13.2', 'twist_class_level': 40, 'twisting_char_label': '40.37', 'twisting_conrey_index': 37, 'weight': 5}
• hecke_orbit_code 824717607072 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': 13, 'hecke_orbit': 1, 'label': '160.5.m.a', 'level': 160, 'portrait': 'data:image/png;base64,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', 'weight': 5}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 11358516
    {'hecke_orbit_code': 824717607072, 'n': 1, 'trace_an': 44}
  • id: 11358517
    {'hecke_orbit_code': 824717607072, 'n': 2, 'trace_an': 0}
  • id: 11358518
    {'hecke_orbit_code': 824717607072, 'n': 3, 'trace_an': 0}
  • id: 11358519
    {'hecke_orbit_code': 824717607072, 'n': 4, 'trace_an': 0}
  • id: 11358520
    {'hecke_orbit_code': 824717607072, 'n': 5, 'trace_an': 0}
  • id: 11358521
    {'hecke_orbit_code': 824717607072, 'n': 6, 'trace_an': 0}
  • id: 11358522
    {'hecke_orbit_code': 824717607072, 'n': 7, 'trace_an': 4}
  • id: 11358523
    {'hecke_orbit_code': 824717607072, 'n': 8, 'trace_an': 0}
  • id: 11358524
    {'hecke_orbit_code': 824717607072, 'n': 9, 'trace_an': 0}
  • id: 11358525
    {'hecke_orbit_code': 824717607072, 'n': 10, 'trace_an': 0}
  • id: 11358526
    {'hecke_orbit_code': 824717607072, 'n': 11, 'trace_an': 0}
  • id: 11358527
    {'hecke_orbit_code': 824717607072, 'n': 12, 'trace_an': 0}
  • id: 11358528
    {'hecke_orbit_code': 824717607072, 'n': 13, 'trace_an': 0}
  • id: 11358529
    {'hecke_orbit_code': 824717607072, 'n': 14, 'trace_an': 0}
  • id: 11358530
    {'hecke_orbit_code': 824717607072, 'n': 15, 'trace_an': 4}
  • id: 11358531
    {'hecke_orbit_code': 824717607072, 'n': 16, 'trace_an': 0}
  • id: 11358532
    {'hecke_orbit_code': 824717607072, 'n': 17, 'trace_an': 236}
  • id: 11358533
    {'hecke_orbit_code': 824717607072, 'n': 18, 'trace_an': 0}
  • id: 11358534
    {'hecke_orbit_code': 824717607072, 'n': 19, 'trace_an': 0}
  • id: 11358535
    {'hecke_orbit_code': 824717607072, 'n': 20, 'trace_an': 0}
  • id: 11358536
    {'hecke_orbit_code': 824717607072, 'n': 21, 'trace_an': 0}
  • id: 11358537
    {'hecke_orbit_code': 824717607072, 'n': 22, 'trace_an': 0}
  • id: 11358538
    {'hecke_orbit_code': 824717607072, 'n': 23, 'trace_an': 4}
  • id: 11358539
    {'hecke_orbit_code': 824717607072, 'n': 24, 'trace_an': 0}
  • id: 11358540
    {'hecke_orbit_code': 824717607072, 'n': 25, 'trace_an': 332}
  • id: 11358541
    {'hecke_orbit_code': 824717607072, 'n': 26, 'trace_an': 0}
  • id: 11358542
    {'hecke_orbit_code': 824717607072, 'n': 27, 'trace_an': 0}
  • id: 11358543
    {'hecke_orbit_code': 824717607072, 'n': 28, 'trace_an': 0}
  • id: 11358544
    {'hecke_orbit_code': 824717607072, 'n': 29, 'trace_an': 0}
  • id: 11358545
    {'hecke_orbit_code': 824717607072, 'n': 30, 'trace_an': 0}
  • id: 11358546
    {'hecke_orbit_code': 824717607072, 'n': 31, 'trace_an': 264}
  • id: 11358547
    {'hecke_orbit_code': 824717607072, 'n': 32, 'trace_an': 0}
  • id: 11358548
    {'hecke_orbit_code': 824717607072, 'n': 33, 'trace_an': 320}
  • id: 11358549
    {'hecke_orbit_code': 824717607072, 'n': 34, 'trace_an': 0}
  • id: 11358550
    {'hecke_orbit_code': 824717607072, 'n': 35, 'trace_an': 0}
  • id: 11358551
    {'hecke_orbit_code': 824717607072, 'n': 36, 'trace_an': 0}
  • id: 11358552
    {'hecke_orbit_code': 824717607072, 'n': 37, 'trace_an': 0}
  • id: 11358553
    {'hecke_orbit_code': 824717607072, 'n': 38, 'trace_an': 0}
  • id: 11358554
    {'hecke_orbit_code': 824717607072, 'n': 39, 'trace_an': 0}
  • id: 11358555
    {'hecke_orbit_code': 824717607072, 'n': 40, 'trace_an': 0}
  • id: 11358556
    {'hecke_orbit_code': 824717607072, 'n': 41, 'trace_an': -8}
  • id: 11358557
    {'hecke_orbit_code': 824717607072, 'n': 42, 'trace_an': 0}
  • id: 11358558
    {'hecke_orbit_code': 824717607072, 'n': 43, 'trace_an': 0}
  • id: 11358559
    {'hecke_orbit_code': 824717607072, 'n': 44, 'trace_an': 0}
  • id: 11358560
    {'hecke_orbit_code': 824717607072, 'n': 45, 'trace_an': 0}
  • id: 11358561
    {'hecke_orbit_code': 824717607072, 'n': 46, 'trace_an': 0}
  • id: 11358562
    {'hecke_orbit_code': 824717607072, 'n': 47, 'trace_an': 5764}
  • id: 11358563
    {'hecke_orbit_code': 824717607072, 'n': 48, 'trace_an': 0}
  • id: 11358564
    {'hecke_orbit_code': 824717607072, 'n': 49, 'trace_an': 0}
  • id: 11358565
    {'hecke_orbit_code': 824717607072, 'n': 50, 'trace_an': 0}
  • id: 11358566
    {'hecke_orbit_code': 824717607072, 'n': 51, 'trace_an': 0}
  • id: 11358567
    {'hecke_orbit_code': 824717607072, 'n': 52, 'trace_an': 0}
  • id: 11358568
    {'hecke_orbit_code': 824717607072, 'n': 53, 'trace_an': 0}
  • id: 11358569
    {'hecke_orbit_code': 824717607072, 'n': 54, 'trace_an': 0}
  • id: 11358570
    {'hecke_orbit_code': 824717607072, 'n': 55, 'trace_an': -2496}
  • id: 11358571
    {'hecke_orbit_code': 824717607072, 'n': 56, 'trace_an': 0}
  • id: 11358572
    {'hecke_orbit_code': 824717607072, 'n': 57, 'trace_an': -328}
  • id: 11358573
    {'hecke_orbit_code': 824717607072, 'n': 58, 'trace_an': 0}
  • id: 11358574
    {'hecke_orbit_code': 824717607072, 'n': 59, 'trace_an': 0}
  • id: 11358575
    {'hecke_orbit_code': 824717607072, 'n': 60, 'trace_an': 0}
  • id: 11358576
    {'hecke_orbit_code': 824717607072, 'n': 61, 'trace_an': 0}
  • id: 11358577
    {'hecke_orbit_code': 824717607072, 'n': 62, 'trace_an': 0}
  • id: 11358578
    {'hecke_orbit_code': 824717607072, 'n': 63, 'trace_an': -9924}
  • id: 11358579
    {'hecke_orbit_code': 824717607072, 'n': 64, 'trace_an': 0}
  • id: 11358580
    {'hecke_orbit_code': 824717607072, 'n': 65, 'trace_an': -3700}
  • id: 11358581
    {'hecke_orbit_code': 824717607072, 'n': 66, 'trace_an': 0}
  • id: 11358582
    {'hecke_orbit_code': 824717607072, 'n': 67, 'trace_an': 0}
  • id: 11358583
    {'hecke_orbit_code': 824717607072, 'n': 68, 'trace_an': 0}
  • id: 11358584
    {'hecke_orbit_code': 824717607072, 'n': 69, 'trace_an': 0}
  • id: 11358585
    {'hecke_orbit_code': 824717607072, 'n': 70, 'trace_an': 0}
  • id: 11358586
    {'hecke_orbit_code': 824717607072, 'n': 71, 'trace_an': 19976}
  • id: 11358587
    {'hecke_orbit_code': 824717607072, 'n': 72, 'trace_an': 0}
  • id: 11358588
    {'hecke_orbit_code': 824717607072, 'n': 73, 'trace_an': 13196}
  • id: 11358589
    {'hecke_orbit_code': 824717607072, 'n': 74, 'trace_an': 0}
  • id: 11358590
    {'hecke_orbit_code': 824717607072, 'n': 75, 'trace_an': 0}
  • id: 11358591
    {'hecke_orbit_code': 824717607072, 'n': 76, 'trace_an': 0}
  • id: 11358592
    {'hecke_orbit_code': 824717607072, 'n': 77, 'trace_an': 0}
  • id: 11358593
    {'hecke_orbit_code': 824717607072, 'n': 78, 'trace_an': 0}
  • id: 11358594
    {'hecke_orbit_code': 824717607072, 'n': 79, 'trace_an': 0}
  • id: 11358595
    {'hecke_orbit_code': 824717607072, 'n': 80, 'trace_an': 0}
  • id: 11358596
    {'hecke_orbit_code': 824717607072, 'n': 81, 'trace_an': -13812}
  • id: 11358597
    {'hecke_orbit_code': 824717607072, 'n': 82, 'trace_an': 0}
  • id: 11358598
    {'hecke_orbit_code': 824717607072, 'n': 83, 'trace_an': 0}
  • id: 11358599
    {'hecke_orbit_code': 824717607072, 'n': 84, 'trace_an': 0}
  • id: 11358600
    {'hecke_orbit_code': 824717607072, 'n': 85, 'trace_an': 0}
  • id: 11358601
    {'hecke_orbit_code': 824717607072, 'n': 86, 'trace_an': 0}
  • id: 11358602
    {'hecke_orbit_code': 824717607072, 'n': 87, 'trace_an': -48952}
  • id: 11358603
    {'hecke_orbit_code': 824717607072, 'n': 88, 'trace_an': 0}
  • id: 11358604
    {'hecke_orbit_code': 824717607072, 'n': 89, 'trace_an': 0}
  • id: 11358605
    {'hecke_orbit_code': 824717607072, 'n': 90, 'trace_an': 0}
  • id: 11358606
    {'hecke_orbit_code': 824717607072, 'n': 91, 'trace_an': 0}
  • id: 11358607
    {'hecke_orbit_code': 824717607072, 'n': 92, 'trace_an': 0}
  • id: 11358608
    {'hecke_orbit_code': 824717607072, 'n': 93, 'trace_an': 0}
  • id: 11358609
    {'hecke_orbit_code': 824717607072, 'n': 94, 'trace_an': 0}
  • id: 11358610
    {'hecke_orbit_code': 824717607072, 'n': 95, 'trace_an': 27848}
  • id: 11358611
    {'hecke_orbit_code': 824717607072, 'n': 96, 'trace_an': 0}
  • id: 11358612
    {'hecke_orbit_code': 824717607072, 'n': 97, 'trace_an': 3276}
  • id: 11358613
    {'hecke_orbit_code': 824717607072, 'n': 98, 'trace_an': 0}
  • id: 11358614
    {'hecke_orbit_code': 824717607072, 'n': 99, 'trace_an': 0}
  • id: 11358615
    {'hecke_orbit_code': 824717607072, 'n': 100, 'trace_an': 0}