Newform data - 207.4.m.a

Formats: - HTML - YAML - JSON - 2025-07-19T15:55:07.720616+00:00

• 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': 3312, 'analytic_conductor': 12.213395371188307, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 207, 'char_degree': 20, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 33, 'char_parity': 1, 'char_values': [207, 33, [47, 28], [11, 6]], 'cm_discs': [], 'conrey_index': 4, 'dim': 1400, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 824700829903, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 0], [1, 1, 23, 3, 1, 11, 0], [1, 1, 207, 13, 1, 33, 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': '207.4.m.a', 'level': 207, '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': [3, 23], 'level_radical': 69, 'minimal_twist': '207.4.m.a', 'prim_orbit_index': 13, 'related_objects': [], 'relative_dim': 70, 'rm_discs': [], 'sato_tate_group': '3.2.3.c33', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '207.4.m', 'trace_display': [-9, -14, 19, -9], 'traces': [1400, -9, -14, 263, 19, -35, -9, -74, -78, -68, 79, 54, -9, 159, -868, 1031, -308, -87, -36, 119, -660, -52, -116, 2420, 1397, 432, 274, -324, -45, 768, -45, 111, -1664, 403, -536, -121, -180, -117, -46, -473, -333, -332, -9, -1908, 1762, 484, 216, 1072, 4615, -105, 1298, -708, -1380, 4116, -1328, -3971, 2154, -338, 1917, 154, 27, -3854, -4850, -5854, 3363, -2017, 603, -18454, -4653, 542, -5296, -8044, -36, 3243, 5140, -1029, -1661, 14687, -9, 10312, -294, -770, -2735, 2298, 241, 10507, -10268, 2183, -2980, 33928, -1452, -1973, -11406, 2034, -3339, -4446, -5193, 14820, 7484, -6616, -5453, 1116, -2097, 2577, 13698, -2189, -3532, -43214, -3564, 2899, 1294, -261, 3575, 3032, -6974, 16644, 6844, -68, 23361, 28568, 7193, -16238, 6522, 984, 8320, 4703, 3996, -19081, -10792, -527, 11153, -23617, 677, -34248, -21834, -2388, -29828, -71800, 2932, 37695, -655, 6874, -38988, 5892, -7232, -25994, -27188, 7143, 167, -10886, 855, 14222, 12554, -2098, 40903, 69982, -1305, -22968, 5972, 3704, 43278, 10284, -4500, -1033, 32270, -581, -6667, -16929, 5245, 27960, -7752, 21708, 383, 8529, -627, -777, -4484, -1865, -6236, 18788, -33408, -16033, -65202, -2258, -25554, -28797, -1919, -51156, -24752, 23200, -2423, -32128, 1215, 19619, 5360, 4309, 24132, 57509, -46296, 59358, 74082, -185, 4743, -48765, -2777, 162676, 66233, -3440, 21029, 103902, -3519, 25409, 6766, 4687, 69816, 105401, -18832, 5053, -16076, -7651, 1873, 101088, 5121, -159696, -22035, 37516, -83, -119581, 5056, -44453, 39906, -7881, -58644, -130149, 29466, -37807, -28548, -461, -14341, 22682, 2187, 13550, -35554, 13140, -45917, 93662, 24671, 131671, 34798, 13459, 55372, 184192, -7238, -54802, 65064, 15887, 13371, -173299, 1217, 27748, 19592, 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295986, -1325246], 'weight': 4, 'weight_parity': 1}
• label 207.4.m.a does not appear in mf_hecke_nf
• 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': 3312, 'analytic_conductor': 12.213395371188307, 'char_conductor': 207, 'char_degree': 20, 'char_is_real': False, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 33, 'char_parity': 1, 'char_values': [207, 33, [47, 28], [11, 6]], 'conrey_index': 4, 'cusp_dim': 1400, 'dim': 1400, 'eis_dim': 80, 'eis_new_dim': 80, 'hecke_cutter_primes': [], 'hecke_orbit_code': 824700829903, 'hecke_orbit_dims': [1400], 'label': '207.4.m', 'level': 207, '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': [3, 23], 'level_radical': 69, 'mf_dim': 1480, 'mf_new_dim': 1480, 'num_forms': 1, 'prim_orbit_index': 13, 'relative_dim': 70, 'sturm_bound': 96, 'trace_bound': 0, 'trace_display': [-9, -14, 19, -9], 'traces': [1400, -9, -14, 263, 19, -35, -9, -74, -78, -68, 79, 54, -9, 159, -868, 1031, -308, -87, -36, 119, -660, -52, -116, 2420, 1397, 432, 274, -324, -45, 768, -45, 111, -1664, 403, -536, -121, -180, -117, -46, -473, -333, -332, -9, -1908, 1762, 484, 216, 1072, 4615, -105, 1298, -708, -1380, 4116, -1328, -3971, 2154, -338, 1917, 154, 27, -3854, -4850, -5854, 3363, -2017, 603, -18454, -4653, 542, -5296, -8044, -36, 3243, 5140, -1029, -1661, 14687, -9, 10312, -294, -770, -2735, 2298, 241, 10507, -10268, 2183, -2980, 33928, -1452, -1973, -11406, 2034, -3339, -4446, -5193, 14820, 7484, -6616, -5453, 1116, -2097, 2577, 13698, -2189, -3532, -43214, -3564, 2899, 1294, -261, 3575, 3032, -6974, 16644, 6844, -68, 23361, 28568, 7193, -16238, 6522, 984, 8320, 4703, 3996, -19081, -10792, -527, 11153, -23617, 677, -34248, -21834, -2388, -29828, -71800, 2932, 37695, -655, 6874, -38988, 5892, -7232, -25994, -27188, 7143, 167, -10886, 855, 14222, 12554, -2098, 40903, 69982, -1305, -22968, 5972, 3704, 43278, 10284, -4500, -1033, 32270, -581, -6667, -16929, 5245, 27960, -7752, 21708, 383, 8529, -627, -777, -4484, -1865, -6236, 18788, -33408, -16033, 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110365, 209130, 242010, -169661, 252276, 1231735, -47412, -96841, -708244, 233115, 501433, -267444, 251218, -529652, 726692, 207728, -902303, 165290, -27403, 870547, 153600, -9807, -72900, -561310, -174416, -1788072, -332688, -86621, 150675, 2988, -78995, -1843972, -1180418, -412672, -574644, 355685, 30688, 650255, 465122, -91535, -361732, -2697074, 528210, -1299034, 277582, 160101, 387977, -1629932, 326689, -3769464, -1050962, -18338, -386437, -300514, 313873, 133077, -504535, 617586, -1165346, -1090970, 701928, -1010821, 295238, 144421, -24745, -1240609, -148041, -817346, 295986, -1325246], 'weight': 4, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 170607
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 13, 'source_dim': 1400, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '207.4.m.a', 'source_level': 207, 'target_char_orbit': 13, 'target_dim': 1400, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '207.4.m.a', 'target_level': 207, 'twist_class_label': '207.4.m.a', 'twist_class_level': 207, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 170608
    {'conductor': 9, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 1400, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '207.4.m.a', 'source_level': 207, 'target_char_orbit': 13, 'target_dim': 1400, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '207.4.m.a', 'target_level': 207, 'twist_class_label': '207.4.m.a', 'twist_class_level': 207, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 170609
    {'conductor': 23, 'degree': 10, 'multiplicity': 1, 'order': 11, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 1400, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '207.4.m.a', 'source_level': 207, 'target_char_orbit': 13, 'target_dim': 1400, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '207.4.m.a', 'target_level': 207, 'twist_class_label': '207.4.m.a', 'twist_class_level': 207, 'twisting_char_label': '23.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 170610
    {'conductor': 207, 'degree': 20, 'multiplicity': 1, 'order': 33, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 1400, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '207.4.m.a', 'source_level': 207, 'target_char_orbit': 13, 'target_dim': 1400, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '207.4.m.a', 'target_level': 207, 'twist_class_label': '207.4.m.a', 'twist_class_level': 207, 'twisting_char_label': '207.m', 'twisting_char_orbit': 13, 'weight': 4}
• hecke_orbit_code 824700829903 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': '207.4.m.a', 'level': 207, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 11344842
    {'hecke_orbit_code': 824700829903, 'n': 1, 'trace_an': 1400}
  • id: 11344843
    {'hecke_orbit_code': 824700829903, 'n': 2, 'trace_an': -9}
  • id: 11344844
    {'hecke_orbit_code': 824700829903, 'n': 3, 'trace_an': -14}
  • id: 11344845
    {'hecke_orbit_code': 824700829903, 'n': 4, 'trace_an': 263}
  • id: 11344846
    {'hecke_orbit_code': 824700829903, 'n': 5, 'trace_an': 19}
  • id: 11344847
    {'hecke_orbit_code': 824700829903, 'n': 6, 'trace_an': -35}
  • id: 11344848
    {'hecke_orbit_code': 824700829903, 'n': 7, 'trace_an': -9}
  • id: 11344849
    {'hecke_orbit_code': 824700829903, 'n': 8, 'trace_an': -74}
  • id: 11344850
    {'hecke_orbit_code': 824700829903, 'n': 9, 'trace_an': -78}
  • id: 11344851
    {'hecke_orbit_code': 824700829903, 'n': 10, 'trace_an': -68}
  • id: 11344852
    {'hecke_orbit_code': 824700829903, 'n': 11, 'trace_an': 79}
  • id: 11344853
    {'hecke_orbit_code': 824700829903, 'n': 12, 'trace_an': 54}
  • id: 11344854
    {'hecke_orbit_code': 824700829903, 'n': 13, 'trace_an': -9}
  • id: 11344855
    {'hecke_orbit_code': 824700829903, 'n': 14, 'trace_an': 159}
  • id: 11344856
    {'hecke_orbit_code': 824700829903, 'n': 15, 'trace_an': -868}
  • id: 11344857
    {'hecke_orbit_code': 824700829903, 'n': 16, 'trace_an': 1031}
  • id: 11344858
    {'hecke_orbit_code': 824700829903, 'n': 17, 'trace_an': -308}
  • id: 11344859
    {'hecke_orbit_code': 824700829903, 'n': 18, 'trace_an': -87}
  • id: 11344860
    {'hecke_orbit_code': 824700829903, 'n': 19, 'trace_an': -36}
  • id: 11344861
    {'hecke_orbit_code': 824700829903, 'n': 20, 'trace_an': 119}
  • id: 11344862
    {'hecke_orbit_code': 824700829903, 'n': 21, 'trace_an': -660}
  • id: 11344863
    {'hecke_orbit_code': 824700829903, 'n': 22, 'trace_an': -52}
  • id: 11344864
    {'hecke_orbit_code': 824700829903, 'n': 23, 'trace_an': -116}
  • id: 11344865
    {'hecke_orbit_code': 824700829903, 'n': 24, 'trace_an': 2420}
  • id: 11344866
    {'hecke_orbit_code': 824700829903, 'n': 25, 'trace_an': 1397}
  • id: 11344867
    {'hecke_orbit_code': 824700829903, 'n': 26, 'trace_an': 432}
  • id: 11344868
    {'hecke_orbit_code': 824700829903, 'n': 27, 'trace_an': 274}
  • id: 11344869
    {'hecke_orbit_code': 824700829903, 'n': 28, 'trace_an': -324}
  • id: 11344870
    {'hecke_orbit_code': 824700829903, 'n': 29, 'trace_an': -45}
  • id: 11344871
    {'hecke_orbit_code': 824700829903, 'n': 30, 'trace_an': 768}
  • id: 11344872
    {'hecke_orbit_code': 824700829903, 'n': 31, 'trace_an': -45}
  • id: 11344873
    {'hecke_orbit_code': 824700829903, 'n': 32, 'trace_an': 111}
  • id: 11344874
    {'hecke_orbit_code': 824700829903, 'n': 33, 'trace_an': -1664}
  • id: 11344875
    {'hecke_orbit_code': 824700829903, 'n': 34, 'trace_an': 403}
  • id: 11344876
    {'hecke_orbit_code': 824700829903, 'n': 35, 'trace_an': -536}
  • id: 11344877
    {'hecke_orbit_code': 824700829903, 'n': 36, 'trace_an': -121}
  • id: 11344878
    {'hecke_orbit_code': 824700829903, 'n': 37, 'trace_an': -180}
  • id: 11344879
    {'hecke_orbit_code': 824700829903, 'n': 38, 'trace_an': -117}
  • id: 11344880
    {'hecke_orbit_code': 824700829903, 'n': 39, 'trace_an': -46}
  • id: 11344881
    {'hecke_orbit_code': 824700829903, 'n': 40, 'trace_an': -473}
  • id: 11344882
    {'hecke_orbit_code': 824700829903, 'n': 41, 'trace_an': -333}
  • id: 11344883
    {'hecke_orbit_code': 824700829903, 'n': 42, 'trace_an': -332}
  • id: 11344884
    {'hecke_orbit_code': 824700829903, 'n': 43, 'trace_an': -9}
  • id: 11344885
    {'hecke_orbit_code': 824700829903, 'n': 44, 'trace_an': -1908}
  • id: 11344886
    {'hecke_orbit_code': 824700829903, 'n': 45, 'trace_an': 1762}
  • id: 11344887
    {'hecke_orbit_code': 824700829903, 'n': 46, 'trace_an': 484}
  • id: 11344888
    {'hecke_orbit_code': 824700829903, 'n': 47, 'trace_an': 216}
  • id: 11344889
    {'hecke_orbit_code': 824700829903, 'n': 48, 'trace_an': 1072}
  • id: 11344890
    {'hecke_orbit_code': 824700829903, 'n': 49, 'trace_an': 4615}
  • id: 11344891
    {'hecke_orbit_code': 824700829903, 'n': 50, 'trace_an': -105}
  • id: 11344892
    {'hecke_orbit_code': 824700829903, 'n': 51, 'trace_an': 1298}
  • id: 11344893
    {'hecke_orbit_code': 824700829903, 'n': 52, 'trace_an': -708}
  • id: 11344894
    {'hecke_orbit_code': 824700829903, 'n': 53, 'trace_an': -1380}
  • id: 11344895
    {'hecke_orbit_code': 824700829903, 'n': 54, 'trace_an': 4116}
  • id: 11344896
    {'hecke_orbit_code': 824700829903, 'n': 55, 'trace_an': -1328}
  • id: 11344897
    {'hecke_orbit_code': 824700829903, 'n': 56, 'trace_an': -3971}
  • id: 11344898
    {'hecke_orbit_code': 824700829903, 'n': 57, 'trace_an': 2154}
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  • id: 11345040
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  • id: 11345097
    {'hecke_orbit_code': 824700829903, 'n': 983, 'trace_an': -386437}
  • id: 11345098
    {'hecke_orbit_code': 824700829903, 'n': 991, 'trace_an': 701928}
  • id: 11345099
    {'hecke_orbit_code': 824700829903, 'n': 997, 'trace_an': -148041}