Newform data - 1728.3.e.m

Formats: - HTML - YAML - JSON - 2025-06-14T19:34:03.417077

• 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': 15552, 'analytic_conductor': 47.084589681459306, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 3, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': -1, 'char_values': [1728, 2, [703, 325, 1217], [2, 2, 1]], 'cm_discs': [], 'conrey_index': 1025, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [9, 0, 1]], [7, [-5, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043470456686272, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1728.3.e.m', 'level': 1728, 'level_is_powerful': True, '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, 3], 'level_radical': 6, 'minimal_twist': '27.3.b.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta q^{5}+5 q^{7}+5\\beta q^{11}+10 q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1728.3.e', 'trace_display': [0, 0, 0, 10], 'trace_hash': 2143303170708526380, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.912', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.845', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '143.979', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, -170, 0, 0, 0, 0, 0, 340, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, -410, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 154, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 0, -138, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -540, 0, 0, 0, 0, 0, 430, 0, 0, 0, 0, 0, -446, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 632, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -260, 0, 0, 0, 0, 0, 452, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 598, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, 560, 0, 0, 0, 0, 0, -70, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, -500, 0, 0, 0, 0, 0, -580, 0, 0, 0, 0, 0, 370, 0, 0, 0, 0, 0, 900, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 476, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, -730, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 540, 0, 0, 0, 0, 0, -210, 0, 0, 0, 0, 0, -1250, 0, 0, 0, 0, 0, -340, 0, 0, 0, 0, 0, -1408, 0, 0, 0, 0, 0, -450, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 538, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -1288, 0, 0, 0, 0, 0, 760, 0, 0, 0, 0, 0, -1130, 0, 0, 0, 0, 0, -422, 0, 0, 0, 0, 0, -540, 0, 0, 0, 0, 0, -1800, 0, 0, 0, 0, 0, 730, 0, 0, 0, 0, 0, 430, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 220, 0, 0, 0, 0, 0, 1080, 0, 0, 0, 0, 0, 1532, 0, 0, 0, 0, 0, -1170, 0, 0, 0, 0, 0, 650, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 500, 0, 0, 0, 0, 0, 770, 0, 0, 0, 0, 0, 1134, 0, 0, 0, 0, 0, 536, 0, 0, 0, 0, 0, -820, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, -1000, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 1892, 0, 0, 0, 0, 0, 1660, 0, 0, 0, 0, 0, -810, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -540, 0, 0, 0, 0, 0, 1738, 0, 0, 0, 0, 0, 1060, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, -1324, 0, 0, 0, 0, 0, 62, 0, 0, 0, 0, 0, -662, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, -880, 0, 0, 0, 0, 0, -900, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 1856, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, 0, -1970, 0, 0, 0, 0, 0, -850, 0, 0, 0, 0, 0, -828, 0, 0, 0, 0, 0, 872, 0, 0, 0, 0, 0, -2160, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -900, 0, 0, 0, 0, 0, 1700, 0, 0, 0, 0, 0, -350, 0, 0, 0, 0, 0, -2320, 0, 0, 0, 0, 0, 2012, 0, 0, 0, 0, 0, -450, 0, 0, 0, 0, 0, 718, 0, 0, 0, 0, 0, 860, 0, 0, 0, 0, 0, -1640, 0, 0, 0, 0, 0, 2518, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 2700, 0, 0, 0, 0, 0, 920, 0, 0, 0, 0, 0, 1520, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, -544, 0, 0, 0, 0, 0, -1600, 0, 0, 0, 0, 0, 2410, 0, 0, 0, 0, 0, -2884, 0, 0, 0, 0, 0, -468, 0, 0, 0, 0, 0, -118, 0, 0, 0, 0, 0, -1040, 0, 0, 0, 0, 0, -1180, 0, 0, 0, 0, 0, 632, 0, 0, 0, 0, 0, -1062, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 1100, 0, 0, 0, 0, 0, 1760, 0, 0, 0, 0, 0, -2050, 0, 0, 0, 0, 0, -1350, 0, 0, 0, 0, 0, -972, 0, 0, 0, 0, 0, 2600, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 274, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 1210, 0, 0, 0, 0, 0, 1440, 0, 0, 0, 0, 0, 1300, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, -1920, 0, 0, 0, 0, 0, 1690, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, -2700, 0, 0, 0, 0, 0, -1242, 0, 0, 0, 0, 0, -3002, 0, 0, 0, 0, 0, -1540, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 0, 0, 958, 0, 0, 0, 0, 0, 900, 0, 0, 0, 0, 0, 1172, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, 2980, 0, 0, 0, 0, 0, 358, 0, 0, 0, 0, 0, -1440, 0, 0, 0, 0, 0, -1648, 0, 0, 0, 0, 0, 770, 0, 0, 0, 0, 0, -230, 0, 0, 0, 0, 0, 2276, 0, 0, 0, 0, 0, -1600, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -530, 0, 0, 0, 0, 0, -520, 0, 0, 0, 0, 0, 1000, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 0, 0, -5850, 0, 0, 0, 0, 0, 1040, 0, 0, 0, 0, 0, 2060, 0, 0, 0, 0, 0, -1982, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -1100, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 940, 0, 0, 0, 0, 0, 2432, 0, 0, 0, 0, 0, -1404, 0, 0, 0, 0, 0, 932, 0, 0, 0, 0, 0, 5670, 0, 0, 0, 0, 0, -690, 0, 0, 0, 0, 0, 3600, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 358, 0, 0, 0, 0, 0, 3240, 0, 0, 0, 0, 0, 3860, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 1774, 0, 0, 0, 0, 0, 740, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, 0, -2042, 0, 0, 0, 0, 0, 540, 0, 0, 0, 0, 0, -1700, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 4684, 0, 0, 0, 0, 0, -2628, 0, 0, 0, 0, 0, -3364, 0, 0, 0, 0, 0, -2210, 0, 0, 0, 0, 0, -2150, 0, 0, 0, 0, 0, -2700, 0, 0, 0, 0, 0, 1656, 0, 0, 0, 0, 0, 1378, 0, 0, 0, 0, 0, -1460, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 3400, 0, 0, 0, 0, 0, 1620, 0, 0, 0, 0, 0, 2150, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -1938, 0, 0, 0, 0, 0, -3690, 0, 0, 0, 0, 0, -1024, 0, 0, 0, 0, 0, 2080, 0, 0, 0, 0, 0, -2230, 0, 0, 0, 0, 0, -2252, 0, 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0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 6620, 0, 0, 0, 0, 0, 296, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 0, 0, -7020, 0, 0, 0, 0, 0, 3980, 0, 0, 0, 0, 0, 1600, 0, 0, 0, 0, 0, 414, 0, 0, 0, 0, 0, -4948, 0, 0, 0, 0, 0, -3640, 0, 0, 0, 0, 0, 730, 0, 0, 0, 0, 0, -4322, 0, 0, 0, 0, 0, 2736, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 0, 0, 2230, 0, 0, 0, 0, 0, 3730, 0, 0, 0, 0, 0, 1772, 0, 0, 0, 0, 0, 2700, 0, 0, 0, 0, 0, 778, 0, 0, 0, 0, 0, 560, 0, 0, 0, 0, 0, 960, 0, 0, 0, 0, 0, 6804, 0, 0, 0, 0, 0, 2080, 0, 0, 0, 0, 0, 178, 0, 0, 0, 0, 0, -2340, 0, 0, 0, 0, 0, -2720, 0, 0, 0, 0, 0, 1302, 0, 0, 0, 0, 0, -810, 0, 0, 0, 0, 0, -2728, 0, 0, 0, 0, 0, -5020, 0, 0, 0, 0, 0, 4630, 0, 0, 0, 0, 0, 3988, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 2990, 0, 0, 0, 0, 0, -5310, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -3708, 0, 0, 0, 0, 0, -864, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 5840, 0, 0, 0, 0, 0, -1400, 0, 0, 0, 0, 0, 3150, 0, 0, 0, 0, 0, -962, 0, 0, 0, 0, 0, 5440, 0, 0, 0, 0, 0, 1540, 0, 0, 0, 0, 0, -6750, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 2800, 0, 0, 0, 0, 0, 6380, 0, 0, 0, 0, 0, 340, 0, 0, 0, 0, 0, -1346, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, 0], [0, 0], [0, 1], [0, 0], [5, 0], [0, 0], [0, 0], [0, 0], [0, 5], [0, 0], [10, 0], [0, 0], [0, 0], [0, 0], [0, 6], [0, 0], [16, 0], [0, 0], [0, 0], [0, 0], [0, -4], [0, 0], [16, 0], [0, 0], [0, 0], [0, 0], [0, -10], [0, 0], [-1, 0], [0, 0], [0, 0], [0, 0], [0, 5], [0, 0], [-20, 0], [0, 0], [0, 0], [0, 0], [0, 20], [0, 0], [-50, 0], [0, 0], [0, 0], [0, 0], [0, -2], [0, 0], [-24, 0], [0, 0], [0, 0], [0, 0], [0, 9], [0, 0], [-45, 0], [0, 0], [0, 0], [0, 0], [0, 10], [0, 0], [76, 0], [0, 0], [0, 0], [0, 0], [0, 10], [0, 0], [10, 0], [0, 0], [0, 0], [0, 0], [0, -30], [0, 0], [65, 0], [0, 0], [0, 0], [0, 0], [0, 25], [0, 0], [14, 0], [0, 0], [0, 0], [0, 0], [0, -1], [0, 0], [-54, 0], [0, 0], [0, 0], [0, 0], [0, 30], [0, 0], [50, 0], [0, 0], [0, 0], [0, 0], [0, 16], [0, 0], [-85, 0], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [0, 1], [5, 0], [0, 5], [10, 0], [0, 6], [16, 0], [0, -4], [0, -10], [-1, 0], [-20, 0], [0, 20], [-50, 0], [0, -2], [0, 9], [0, 10], [76, 0], [10, 0], [0, -30], [65, 0], [14, 0], [0, -1], [0, 30], [-85, 0], [0, 65], [170, 0], [0, -63], [-164, 0], [0, 8], [-205, 0], [0, -5], [0, 46], [28, 0], [0, 25], [77, 0], [100, 0], [-110, 0], [0, 26], [0, 59], [0, 75], [16, 0], [0, 10], [215, 0], [0, 69], [-223, 0], [316, 0], [-130, 0], [0, 14], [226, 0], [0, 78], [0, -40], [14, 0], [0, -30], [0, 146], [0, -92], [0, -90], [299, 0], [-140, 0], [0, -50], [280, 0], [0, -86], [-290, 0], [0, -160], [185, 0], [0, -61], [238, 0], [-10, 0], [0, -23], [256, 0], [0, -152], [0, -150], [-625, 0], [-170, 0], [-704, 0], [0, 206], [0, -175], [70, 0], [0, -40], [269, 0], [0, 70], [-644, 0], [0, 90], [-565, 0], [-211, 0], [0, -166], [0, -120], [365, 0], [0, 35], [215, 0], [0, -21], [0, 250], [110, 0], [0, -215], [766, 0], [0, 276], [0, -185], [0, -150], [250, 0], [268, 0], [-410, 0], [0, -213], [0, 67], [0, -80], [946, 0], [830, 0], [0, -151], [0, -234], [0, -370], [869, 0], [530, 0], [70, 0], [0, -184], [-662, 0], [-331, 0], [0, -20], [-440, 0], [0, -324], [0, -161], [0, 275], [928, 0], [-985, 0], [0, -118], [0, -66], [436, 0], [0, -45], [-32, 0], [0, -300], [-175, 0], [-1160, 0], [1006, 0], [0, 38], [359, 0], [430, 0], [0, 440], [1259, 0], [0, 174], [460, 0], [0, 79], [0, 270], [-272, 0], [0, -130], [1205, 0], [0, -6], [-1442, 0], [0, -530], [-590, 0], [0, -434], [316, 0], [0, 396], [550, 0], [0, -30], [880, 0], [0, -94], [1300, 0], [0, 70], [137, 0], [0, 220], [605, 0], [0, 535], [0, -181], [0, 48], [845, 0], [0, -135], [0, -82], [0, 346], [-1501, 0], [-770, 0], [479, 0], [0, 34], [0, 245], [586, 0], [0, -10], [1490, 0], [179, 0], [0, 500], [-824, 0], [0, 105], [-115, 0], [1138, 0], [-265, 0], [0, -625], [-260, 0], [0, -552], [0, -454], [0, 305], [520, 0], [1030, 0], [-991, 0], [0, 600], [470, 0], [0, -631], [466, 0], [0, 515], [0, 414], [0, -604], [179, 0], [1930, 0], [0, 28], [0, -132], [0, -605], [887, 0], [370, 0], [-1021, 0], [0, -15], [0, -318], [2342, 0], [0, 79], [0, 250], [-1682, 0], [-1105, 0], [0, 730], [-1075, 0], [0, 437], [0, 320], [689, 0], [-730, 0], [0, 310], [0, 186], [0, 94], [-512, 0], [-1126, 0], [0, 440], [1010, 0], [0, -221], [-284, 0], [0, 316], [0, -60], [-1030, 0], [0, 290], [-710, 0], [-1244, 0], [-658, 0], [0, 860], [-230, 0], [0, -584], [2834, 0], [0, 474], [0, 385], [0, -360], [0, -418], [-794, 0], [-2755, 0], [-2774, 0], [0, -502], [0, 70], [2675, 0], [0, -305], [-692, 0], [0, -714], [-1160, 0], [0, -330], [0, -754], [1049, 0], [0, -601], [0, 135], [646, 0], [2020, 0], [0, -411], [-2815, 0], [2075, 0], [0, -781], [2206, 0], [3310, 0], [0, -364], [148, 0], [0, -570], [0, -740], [1990, 0], [0, -278], [-2474, 0], [-1820, 0], [365, 0], [-2161, 0], [1115, 0], [1865, 0], [0, 109], [886, 0], [389, 0], [0, 530], [0, 668], [89, 0], [0, 796], [-1364, 0], [-2510, 0], [0, -1050], [2315, 0], [0, -443], [1994, 0], [0, -720], [0, 50], [0, -1041], [0, -292], [0, 565], [2920, 0], [0, -350], [-481, 0], [0, 557], [0, 825], [3190, 0], [170, 0], [0, 279], [-673, 0]], 'char_orbit_index': 5, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 54043470456686272, 'hecke_ring_character_values': [[703, [1, 0]], [325, [1, 0]], [1217, [-1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 3], 'hecke_ring_inverse_numerators': [[1, 0], [0, 1]], 'hecke_ring_numerators': [[1, 0], [0, 3]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '1728.3.e.m', 'level': 1728, 'maxp': 1999, 'weight': 3}
• 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': 15552, 'analytic_conductor': 47.084589681459306, 'char_conductor': 3, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': -1, 'char_values': [1728, 2, [703, 325, 1217], [2, 2, 1]], 'conrey_index': 1025, 'cusp_dim': 540, 'dim': 64, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 274928240320, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 8, 8], 'label': '1728.3.e', 'level': 1728, 'level_is_powerful': True, '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, 3], 'level_radical': 6, 'mf_dim': 612, 'mf_new_dim': 64, 'num_forms': 22, 'prim_orbit_index': 2, 'relative_dim': 64, 'sturm_bound': 864, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9824, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2656, 0, 0, 0], 'weight': 3, '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: 798354
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '27.3.b.b', 'target_level': 27, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 798355
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '27.3.b.b', 'target_level': 27, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 3}
  • id: 798356
    {'conductor': 72, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '81.3.d.b', 'target_level': 81, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '72.j', 'twisting_char_orbit': 10, 'weight': 3}
  • id: 798357
    {'conductor': 72, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 4, 'target_dim': 4, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '81.3.d.b', 'target_level': 81, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '72.n', 'twisting_char_orbit': 14, 'weight': 3}
  • id: 798358
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '432.3.e.c', 'target_level': 432, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 798359
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '432.3.e.c', 'target_level': 432, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 798360
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '675.3.c.h', 'target_level': 675, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 798361
    {'conductor': 120, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '675.3.c.h', 'target_level': 675, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '120.i', 'twisting_char_orbit': 9, 'weight': 3}
  • id: 798362
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '675.3.d.a', 'target_level': 675, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 3}
  • id: 798363
    {'conductor': 120, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '675.3.d.a', 'target_level': 675, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '120.w', 'twisting_char_orbit': 23, 'weight': 3}
  • id: 798364
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '675.3.d.d', 'target_level': 675, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 3}
  • id: 798365
    {'conductor': 120, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '675.3.d.d', 'target_level': 675, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '120.w', 'twisting_char_orbit': 23, 'weight': 3}
  • id: 798366
    {'conductor': 72, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 17, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '1296.3.q.j', 'target_level': 1296, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '72.l', 'twisting_char_orbit': 12, 'weight': 3}
  • id: 798367
    {'conductor': 72, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 17, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '1296.3.q.j', 'target_level': 1296, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '72.p', 'twisting_char_orbit': 16, 'weight': 3}
  • id: 798368
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '1728.3.e.g', 'target_level': 1728, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 798369
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '1728.3.e.g', 'target_level': 1728, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 798370
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1728.3.e.m', 'target_level': 1728, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 798371
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 5, 'source_dim': 2, 'source_hecke_orbit': 13, 'source_is_minimal': False, 'source_label': '1728.3.e.m', 'source_level': 1728, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '1728.3.e.m', 'target_level': 1728, 'twist_class_label': '27.3.b.b', 'twist_class_level': 27, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2161950
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 2}
  • id: 2161951
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 3}
  • id: 2161952
    {'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 5}
  • id: 2161953
    {'charpoly_factorization': [[[-5, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 7}
  • id: 2161954
    {'charpoly_factorization': [[[225, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 11}
  • id: 2161955
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 13}
  • id: 2161956
    {'charpoly_factorization': [[[324, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 17}
  • id: 2161957
    {'charpoly_factorization': [[[-16, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 19}
  • id: 2161958
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 23}
  • id: 2161959
    {'charpoly_factorization': [[[900, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 29}
  • id: 2161960
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 31}
  • id: 2161961
    {'charpoly_factorization': [[[20, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 37}
  • id: 2161962
    {'charpoly_factorization': [[[3600, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 41}
  • id: 2161963
    {'charpoly_factorization': [[[50, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 43}
  • id: 2161964
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 47}
  • id: 2161965
    {'charpoly_factorization': [[[729, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 53}
  • id: 2161966
    {'charpoly_factorization': [[[900, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 59}
  • id: 2161967
    {'charpoly_factorization': [[[-76, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 61}
  • id: 2161968
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 67}
  • id: 2161969
    {'charpoly_factorization': [[[8100, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 71}
  • id: 2161970
    {'charpoly_factorization': [[[-65, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 73}
  • id: 2161971
    {'charpoly_factorization': [[[-14, 1], 2]], 'hecke_orbit_code': 54043470456686272, 'p': 79}
  • id: 2161972
    {'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 83}
  • id: 2161973
    {'charpoly_factorization': [[[8100, 0, 1], 1]], 'hecke_orbit_code': 54043470456686272, 'p': 89}
  • id: 2161974
    {'charpoly_factorization': [[[85, 1], 2]], 'hecke_orbit_code': 54043470456686272, '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': 5, 'hecke_orbit': 13, 'label': '1728.3.e.m', 'level': 1728, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 58148275
    {'hecke_orbit_code': 54043470456686272, 'n': 1, 'trace_an': 2}
  • id: 58148276
    {'hecke_orbit_code': 54043470456686272, 'n': 2, 'trace_an': 0}
  • id: 58148277
    {'hecke_orbit_code': 54043470456686272, 'n': 3, 'trace_an': 0}
  • id: 58148278
    {'hecke_orbit_code': 54043470456686272, 'n': 4, 'trace_an': 0}
  • id: 58148279
    {'hecke_orbit_code': 54043470456686272, 'n': 5, 'trace_an': 0}
  • id: 58148280
    {'hecke_orbit_code': 54043470456686272, 'n': 6, 'trace_an': 0}
  • id: 58148281
    {'hecke_orbit_code': 54043470456686272, 'n': 7, 'trace_an': 10}
  • id: 58148282
    {'hecke_orbit_code': 54043470456686272, 'n': 8, 'trace_an': 0}
  • id: 58148283
    {'hecke_orbit_code': 54043470456686272, 'n': 9, 'trace_an': 0}
  • id: 58148284
    {'hecke_orbit_code': 54043470456686272, 'n': 10, 'trace_an': 0}
  • id: 58148285
    {'hecke_orbit_code': 54043470456686272, 'n': 11, 'trace_an': 0}
  • id: 58148286
    {'hecke_orbit_code': 54043470456686272, 'n': 12, 'trace_an': 0}
  • id: 58148287
    {'hecke_orbit_code': 54043470456686272, 'n': 13, 'trace_an': 20}
  • id: 58148288
    {'hecke_orbit_code': 54043470456686272, 'n': 14, 'trace_an': 0}
  • id: 58148289
    {'hecke_orbit_code': 54043470456686272, 'n': 15, 'trace_an': 0}
  • id: 58148290
    {'hecke_orbit_code': 54043470456686272, 'n': 16, 'trace_an': 0}
  • id: 58148291
    {'hecke_orbit_code': 54043470456686272, 'n': 17, 'trace_an': 0}
  • id: 58148292
    {'hecke_orbit_code': 54043470456686272, 'n': 18, 'trace_an': 0}
  • id: 58148293
    {'hecke_orbit_code': 54043470456686272, 'n': 19, 'trace_an': 32}
  • id: 58148294
    {'hecke_orbit_code': 54043470456686272, 'n': 20, 'trace_an': 0}
  • id: 58148295
    {'hecke_orbit_code': 54043470456686272, 'n': 21, 'trace_an': 0}
  • id: 58148296
    {'hecke_orbit_code': 54043470456686272, 'n': 22, 'trace_an': 0}
  • id: 58148297
    {'hecke_orbit_code': 54043470456686272, 'n': 23, 'trace_an': 0}
  • id: 58148298
    {'hecke_orbit_code': 54043470456686272, 'n': 24, 'trace_an': 0}
  • id: 58148299
    {'hecke_orbit_code': 54043470456686272, 'n': 25, 'trace_an': 32}
  • id: 58148300
    {'hecke_orbit_code': 54043470456686272, 'n': 26, 'trace_an': 0}
  • id: 58148301
    {'hecke_orbit_code': 54043470456686272, 'n': 27, 'trace_an': 0}
  • id: 58148302
    {'hecke_orbit_code': 54043470456686272, 'n': 28, 'trace_an': 0}
  • id: 58148303
    {'hecke_orbit_code': 54043470456686272, 'n': 29, 'trace_an': 0}
  • id: 58148304
    {'hecke_orbit_code': 54043470456686272, 'n': 30, 'trace_an': 0}
  • id: 58148305
    {'hecke_orbit_code': 54043470456686272, 'n': 31, 'trace_an': -2}
  • id: 58148306
    {'hecke_orbit_code': 54043470456686272, 'n': 32, 'trace_an': 0}
  • id: 58148307
    {'hecke_orbit_code': 54043470456686272, 'n': 33, 'trace_an': 0}
  • id: 58148308
    {'hecke_orbit_code': 54043470456686272, 'n': 34, 'trace_an': 0}
  • id: 58148309
    {'hecke_orbit_code': 54043470456686272, 'n': 35, 'trace_an': 0}
  • id: 58148310
    {'hecke_orbit_code': 54043470456686272, 'n': 36, 'trace_an': 0}
  • id: 58148311
    {'hecke_orbit_code': 54043470456686272, 'n': 37, 'trace_an': -40}
  • id: 58148312
    {'hecke_orbit_code': 54043470456686272, 'n': 38, 'trace_an': 0}
  • id: 58148313
    {'hecke_orbit_code': 54043470456686272, 'n': 39, 'trace_an': 0}
  • id: 58148314
    {'hecke_orbit_code': 54043470456686272, 'n': 40, 'trace_an': 0}
  • id: 58148315
    {'hecke_orbit_code': 54043470456686272, 'n': 41, 'trace_an': 0}
  • id: 58148316
    {'hecke_orbit_code': 54043470456686272, 'n': 42, 'trace_an': 0}
  • id: 58148317
    {'hecke_orbit_code': 54043470456686272, 'n': 43, 'trace_an': -100}
  • id: 58148318
    {'hecke_orbit_code': 54043470456686272, 'n': 44, 'trace_an': 0}
  • id: 58148319
    {'hecke_orbit_code': 54043470456686272, 'n': 45, 'trace_an': 0}
  • id: 58148320
    {'hecke_orbit_code': 54043470456686272, 'n': 46, 'trace_an': 0}
  • id: 58148321
    {'hecke_orbit_code': 54043470456686272, 'n': 47, 'trace_an': 0}
  • id: 58148322
    {'hecke_orbit_code': 54043470456686272, 'n': 48, 'trace_an': 0}
  • id: 58148323
    {'hecke_orbit_code': 54043470456686272, 'n': 49, 'trace_an': -48}
  • id: 58148324
    {'hecke_orbit_code': 54043470456686272, 'n': 50, 'trace_an': 0}
  • id: 58148325
    {'hecke_orbit_code': 54043470456686272, 'n': 51, 'trace_an': 0}
  • id: 58148326
    {'hecke_orbit_code': 54043470456686272, 'n': 52, 'trace_an': 0}
  • id: 58148327
    {'hecke_orbit_code': 54043470456686272, 'n': 53, 'trace_an': 0}
  • id: 58148328
    {'hecke_orbit_code': 54043470456686272, 'n': 54, 'trace_an': 0}
  • id: 58148329
    {'hecke_orbit_code': 54043470456686272, 'n': 55, 'trace_an': -90}
  • id: 58148330
    {'hecke_orbit_code': 54043470456686272, 'n': 56, 'trace_an': 0}
  • id: 58148331
    {'hecke_orbit_code': 54043470456686272, 'n': 57, 'trace_an': 0}
  • id: 58148332
    {'hecke_orbit_code': 54043470456686272, 'n': 58, 'trace_an': 0}
  • id: 58148333
    {'hecke_orbit_code': 54043470456686272, 'n': 59, 'trace_an': 0}
  • id: 58148334
    {'hecke_orbit_code': 54043470456686272, 'n': 60, 'trace_an': 0}
  • id: 58148335
    {'hecke_orbit_code': 54043470456686272, 'n': 61, 'trace_an': 152}
  • id: 58148336
    {'hecke_orbit_code': 54043470456686272, 'n': 62, 'trace_an': 0}
  • id: 58148337
    {'hecke_orbit_code': 54043470456686272, 'n': 63, 'trace_an': 0}
  • id: 58148338
    {'hecke_orbit_code': 54043470456686272, 'n': 64, 'trace_an': 0}
  • id: 58148339
    {'hecke_orbit_code': 54043470456686272, 'n': 65, 'trace_an': 0}
  • id: 58148340
    {'hecke_orbit_code': 54043470456686272, 'n': 66, 'trace_an': 0}
  • id: 58148341
    {'hecke_orbit_code': 54043470456686272, 'n': 67, 'trace_an': 20}
  • id: 58148342
    {'hecke_orbit_code': 54043470456686272, 'n': 68, 'trace_an': 0}
  • id: 58148343
    {'hecke_orbit_code': 54043470456686272, 'n': 69, 'trace_an': 0}
  • id: 58148344
    {'hecke_orbit_code': 54043470456686272, 'n': 70, 'trace_an': 0}
  • id: 58148345
    {'hecke_orbit_code': 54043470456686272, 'n': 71, 'trace_an': 0}
  • id: 58148346
    {'hecke_orbit_code': 54043470456686272, 'n': 72, 'trace_an': 0}
  • id: 58148347
    {'hecke_orbit_code': 54043470456686272, 'n': 73, 'trace_an': 130}
  • id: 58148348
    {'hecke_orbit_code': 54043470456686272, 'n': 74, 'trace_an': 0}
  • id: 58148349
    {'hecke_orbit_code': 54043470456686272, 'n': 75, 'trace_an': 0}
  • id: 58148350
    {'hecke_orbit_code': 54043470456686272, 'n': 76, 'trace_an': 0}
  • id: 58148351
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  • id: 58148451
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  • id: 58148460
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