Embedded newform data - 225.4.b.i.199.3

Formats: - HTML - YAML - JSON - 2024-04-25T15:52:00.105964

• 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': 3600, 'analytic_conductor': 13.275429751291638, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [225, 2, [101, 127], [2, 1]], 'cm_discs': [], 'conrey_index': 199, 'conrey_indexes': [199], 'dim': 4, 'field_disc': 6400, 'field_disc_factorization': [[2, 8], [5, 2]], 'field_poly': [25, 0, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [10, 0, 1]], [7, [225, 0, 1]], [11, [-4000, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028865805549793, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 50, 'hecke_ring_index_factorization': [[2, 1], [5, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 15, 4, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '225.4.b.i', 'level': 225, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '225.4.a.l', 'nf_label': '4.0.6400.3', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{2}q^{2}-2q^{4}+3\\beta _{1}q^{7}-6\\beta _{2}q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '225.4.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1608235752075206875, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.713', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '110.650', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4089.806', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.761', 'prec': 17}, 'traces': [4, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, -364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -588, 0, 0, -1120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1440, 0, 0, 472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1708, 0, 0, -1312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 728, 0, 0, 3504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2100, 0, 0, 2240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1120, 0, 0, 3244, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10676, 0, 0, 1176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6720, 0, 0, 3136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3188, 0, 0, -12000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6720, 0, 0, 3888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6748, 0, 0, -8640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -944, 0, 0, -12796, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3548, 0, 0, -10080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20480, 0, 0, 20076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2492, 0, 0, -3416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11584, 0, 0, -22200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1232, 0, 0, 33600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28000, 0, 0, -11708, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20100, 0, 0, 27664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7008, 0, 0, 16000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20352, 0, 0, -3360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50400, 0, 0, 38696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5688, 0, 0, -4200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13440, 0, 0, -36964, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40320, 0, 0, 22080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12000, 0, 0, -27524, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25672, 0, 0, 6720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6488, 0, 0, -58996, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112000, 0, 0, 1120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -45600, 0, 0, -900, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51800, 0, 0, -21352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44688, 0, 0, -5116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4200, 0, 0, -47040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36640, 0, 0, -3172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -37692, 0, 0, 31360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6272, 0, 0, -46900, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2348, 0, 0, 84000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80640, 0, 0, 53508, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12572, 0, 0, 6376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72000, 0, 0, -22316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 94468, 0, 0, -94400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 101920, 0, 0, 224000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 101752, 0, 0, -40320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7776, 0, 0, 65100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -82208, 0, 0, 80960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -70560, 0, 0, -69124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92400, 0, 0, 13496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40320, 0, 0, -96064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -31088, 0, 0, 28000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114240, 0, 0, 29764, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16000, 0, 0, -35872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25592, 0, 0, 62720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 114492, 0, 0, -296000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168000, 0, 0, 7896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81556, 0, 0, -7096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60480, 0, 0, -80416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2100, 0, 0, 131040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -141120, 0, 0, -15600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31360, 0, 0, -122880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40152, 0, 0, 103316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42952, 0, 0, -153440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 268000, 0, 0, 9800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32728, 0, 0, 4984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -129808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73132, 0, 0, 12000, 0, 0, 0, 0, 0, 0], 'weight': 4, '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, 1.118033988749895], [0.0, 0.0], [-0.25, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.8099238707340584], [0.0, 0.8385254915624212], [0.0, 0.0], [0.0, 0.0], [-1.733568344082895, 0.0], [0.0, 0.0], [0.0, 0.7467118026108853], [0.9055224157805535, 0.0], [0.0, 0.0], [-1.1875, 0.0], [0.0, 1.2632364522191983], [0.0, 0.0], [-1.098780620116901, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.9381883305055494], [0.0, 1.0320737844455796], [0.0, 0.0], [0.0, 0.0], [-0.8348491751196723, 0.0], [0.0, 0.0], [0.0, 0.2024809676835146], [-0.4049794617342783, 0.0], [0.0, 0.0], [-0.8516767547721261, 0.0], [0.0, -0.489139870078079], [0.0, 0.0], [-1.4123412894088962, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.643989873053573], [0.0, -1.228474079470382], [0.0, 0.0], [0.0, 0.0], [1.6863676040358846, 0.0], [0.0, 0.0], [0.0, 1.1880702572423851], [0.43339208602072377, 0.0], [0.0, 0.0], [-1.1538935699078907, 0.0], [0.0, -0.5495930601023146], [0.0, 0.0], [0.34402332361516036, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.18667795065272133], [0.0, -0.2294796754219989], [0.0, 0.0], [0.0, 0.0], [0.6791418118354151, 0.0], [0.0, 0.0], [0.0, -0.4527808029645605], [-1.95379958886384, 0.0], [0.0, 0.0], [0.8962581595302718, 0.0], [0.0, -0.9522035592634462], [0.0, 0.0], [-0.640625, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.027351368139471317], [0.0, -0.3158091130547996], [0.0, 0.0], [0.0, 0.0], [0.10571642606208473, 0.0], [0.0, 0.0], [0.0, -0.11223123703738547], [1.8380365552345195, 0.0], [0.0, 0.0], [0.27469515502922526, 0.0], [0.0, 1.4040583834216502], [0.0, 0.0], [1.2475658243179708, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.8854162988388434], [0.0, 0.7025741120247272], [0.0, 0.0], [0.0, 0.0], [-1.3283029286198176, 0.0], [0.0, 0.0], [0.0, -1.453641247879162], [0.0, 0.0], [0.0, 0.0], [0.6047797134934144, 0.0], [0.0, -0.2580184461113949], [0.0, 0.0], [0.6144637211754513, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1357222568762646], [0.0, 0.38462976872445365], [0.0, 0.0], [0.0, 0.0], [-1.3084804243642183, 0.0], [0.0, 0.0], [0.0, 1.4732107654106907], [-0.6261368813397542, 0.0], [0.0, 0.0], [0.25656607684908866, 0.0], [0.0, 0.7199873635979778], [0.0, 0.0], [0.7126579057929852, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9617845964966942], [0.0, 1.3478833100091574], [0.0, 0.0], [0.0, 0.0], [0.10124486543356957, 0.0], [0.0, 0.0], [0.0, -2.1844143475553435], [1.0231253570337324, 0.0], [0.0, 0.0], [2.005259203606311, 0.0], [0.0, 1.0020470850492693], [0.0, 0.0], [0.21291918869303153, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.1816635373607792], [0.0, -1.2053803941209804], [0.0, 0.0], [0.0, 0.0], [0.8858136064050603, 0.0], [0.0, 0.0], [0.0, 0.8899286529326494], [0.03057975921873991, 0.0], [0.0, 0.0], [-1.0592559670566721, 0.0], [0.0, -1.6565266811860266], [0.0, 0.0], [0.47840296465402676, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.11819455750657593], [0.0, -1.2944759431593063], [0.0, 0.0], [0.0, 0.0], [0.125478337607243, 0.0], [0.0, 0.0], [0.0, 0.41099746826339323], [-1.1823049560488963, 0.0], [0.0, 0.0], [-0.4295294050600093, 0.0], [0.0, -0.9213555596027864], [0.0, 0.0], [-1.569784994854637, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.6227111041228262], [0.0, 1.3948209947902714], [0.0, 0.0], [0.0, 0.0], [0.835901194381312, 0.0], [0.0, 0.0], [0.0, -0.13214516794275355], [-0.42159190100897115, 0.0], [0.0, 0.0], [-0.7855017368594213, 0.0], [0.0, 0.12308484393868652], [0.0, 0.0], [0.4424214838416022, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.2970175643105963], [0.0, -1.7510614636164008], [0.0, 0.0], [0.0, 0.0], [2.058612408598438, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7394494334590969, 0.0], [0.0, 0.0], [-0.6927829970823036, 0.0], [0.0, 0.6761642753920607], [0.0, 0.0], [-0.8654201774309179, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -2.189906724658787], [0.0, 0.13739826502557864], [0.0, 0.0], [0.0, 0.0], [-0.8385867365690913, 0.0], [0.0, 0.0], [0.0, 1.3519855422093356], [-1.269776084967403, 0.0], [0.0, 0.0], [-0.08600583090379009, 0.0], [0.0, -0.6313057406110452], [0.0, 0.0], 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0.0], [0.0, 0.0], [0.0, 0.2051181143803494], [-1.2261761665793818, 0.0], [0.0, 0.0], [-0.5860531134847345, 0.0], [0.0, 0.41658905717775774], [0.0, 0.0], [0.09572859351542523, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.4202590812213875], [0.0, -0.12828466149329718], [0.0, 0.0], [0.0, 0.0]], 'angles': [0.09441067661521922, None, None, -0.43364238378501424, -0.416908508450693, 0.06089648304284799, 0.10880448191077965, -0.342569988170994, 0.08629663199850136, -0.28245163779935367, -0.32001039308555546, -0.34643056653874504, -0.09033926585471094, 0.10123299758789753, -0.45569475262980674, -0.48169827911368907, -0.4657245915035331, -0.17604524758845672, -0.4978233794297072, -0.24158343170376523, -0.4910642280017282, -0.1427974664038987, 0.057127937300884384, -0.25, 0.09611447224532267, -0.3635057330495161, 0.13178623188336225, 0.058610577784304896, -0.19201412546443986, 0.11770004853227702, -0.485523722422713, -0.1769736271698052, -0.3446645771973161, -0.2115571777578928, -0.3506634284895196, -0.28444923136200123, -0.4496084962513178, -0.48947655533152357, 0.009800974133827583, -0.33025597245113364, -0.1897259976199659, -0.3062965588111654, -0.31886106365216466, 0.11814247808150068, -0.4488882459193716, -0.34648514092572097, -0.22688907097438657, 0.08904762524513686, -0.4979397424662531, -0.12111406241452548, 0.08458681170247852, -0.24045927318559812, -0.26326647861649444, -0.30419827009720557, 0.0745220622606005, 0.055141109243589705, -0.2420113732522945, -0.2554950696992848, 0.15075251940048695, -0.23394580046979532, 0.008779910470376713, -0.39038386825598664, 0.040298782653683564, -0.16953224918563972, -0.46294947966675937, 0.1149634349598788, -0.3194148637648447, 0.18933540524773848, -0.41756709295136085, -0.11696545779676817, 0.06907954649175568, -0.3637725464062453, -0.3966172156899573, -0.4220843620377944, -0.35770036156252283, 0.10290685616392878, -0.29589665319599784, 0.049009285939312565, -0.3220017718516905, -0.31827467639630586, -0.11539414441285997, 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-0.2887565287884379, -0.358670379630834, 0.07739864433903756, -0.3519649771540091, 0.04950143654378941, -0.28023277589953227, 0.014788391170489197, -0.18803120945875962, -0.22208997951296602, -0.39769333255134426, -0.4778518848480963, -0.42665844862067387, -0.2594106343324769, -0.14363513077480214, -0.15451680852099847, 0.00382585117245985, 0.0033438817149072423, -0.2434169169681334, -0.08355635512021484, 0.1315177896665437, -0.4654657461056495, -0.31536756637989727, -0.4932483001805105, 0.06952160394163187, -0.24730533330819976, 0.11585584533909424, 0.19236342828878428, -0.44693308088246475, -0.3010220225396019, -0.17328623518360275, -0.25871384114806045, -0.37717258063709935, -0.3373065521897685, 0.1332676165615618, 0.1828707978586992, 0.05547279787215125, -0.2780903865490441, 0.07685184141344743, -0.40369546657704786, -0.2973312187064099, 0.03369428822495469], 'char_orbit_index': 2, 'conrey_index': 199, 'dual_conrey_index': 199, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': -1.5811388300841898, 'embedding_root_real': 1.5811388300841898, 'hecke_orbit': 9, 'hecke_orbit_code': 36028865805549793, 'label': '225.4.b.i.199.3', 'level': 225, 'weight': 4}
• 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': 3600, 'analytic_conductor': 13.275429751291638, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [225, 2, [101, 127], [2, 1]], 'conrey_index': 199, 'cusp_dim': 78, 'dim': 22, 'eis_dim': 24, 'eis_new_dim': 2, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 68786585825, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 4], 'label': '225.4.b', 'level': 225, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 102, 'mf_new_dim': 24, 'num_forms': 9, 'prim_orbit_index': 2, 'relative_dim': 22, 'sturm_bound': 120, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [22, 0, 0, -98, 0, 0, 0, 0, 0, 0, -90, 0, 0, 288, 0, 314, 0, 0, -154, 0, 0, 0, 0, 0, 0, 516, 0, 0, 708, 0, 396, 0, 0, 194, 0, 0, 0, 0, 0, 0, -1326, 0, 0, 402, 0, -324, 0, 0, -1742, 0, 0, 0, 0, 0, 0, 660, 0, 0, 936, 0, 268, 0, 0, -1066, 0, 0, 0, 0, 0, 0, -2064, 0, 0, -852, 0, -286, 0, 0, 4860, 0, 0, 0, 0, 0, 0, 4860, 0, 0, -1206, 0, -1584, 0, 0, 4160, 0, 0, 0, 0, 0, 0, -120, 0, 0, -11736, 0, -5084, 0, 0, -2684, 0, 0, 0, 0, 0, 0, -48, 0, 0, -3612, 0, 11024, 0, 0, -2028, 0, 0, 0, 0, 0, 0, -48, 0, 0, 6246, 0, -16506, 0, 0, -6386, 0, 0, 0, 0, 0, 0, -3666, 0, 0, 1452, 0, 1084, 0, 0, 19164, 0, 0, 0, 0, 0, 0, -4056, 0, 0, 19458, 0, 23418, 0, 0, -4122, 0, 0, 0, 0, 0, 0, 6318, 0, 0, -390, 0, -26164, 0, 0, -18900, 0, 0, 0, 0, 0, 0, -4860, 0, 0, -2664, 0, 22690, 0, 0, -2392, 0, 0, 0, 0, 0, 0, 13200, 0, 0, 12234, 0, 20366, 0, 0, -15270, 0, 0, 0, 0, 0, 0, -23400, 0, 0, -8412, 0, -35342, 0, 0, 4224, 0, 0, 0, 0, 0, 0, -3816, 0, 0, 11904, 0, 16690, 0, 0, 37300, 0, 0, 0, 0, 0, 0, 19026, 0, 0, -10044, 0, 11290, 0, 0, -29568, 0, 0, 0, 0, 0, 0, 21120, 0, 0, -17556, 0, 820, 0, 0, -9294, 0, 0, 0, 0, 0, 0, 10008, 0, 0, 21576, 0, 1840, 0, 0, 17164, 0, 0, 0, 0, 0, 0, -48180, 0, 0, -11328, 0, 1536, 0, 0, 25414, 0, 0, 0, 0, 0, 0, -6300, 0, 0, 3864, 0, -96900, 0, 0, 21232, 0, 0, 0, 0, 0, 0, 6498, 0, 0, -42912, 0, -6366, 0, 0, -31848, 0, 0, 0, 0, 0, 0, 38148, 0, 0, -60768, 0, 92808, 0, 0, 30572, 0, 0, 0, 0, 0, 0, -9414, 0, 0, 54156, 0, -48504, 0, 0, -49848, 0, 0, 0, 0, 0, 0, -21696, 0, 0, -47346, 0, -12024, 0, 0, 29090, 0, 0, 0, 0, 0, 0, -57978, 0, 0, -2304, 0, -18684, 0, 0, 27108, 0, 0, 0, 0, 0, 0, 80442, 0, 0, 36252, 0, -5640, 0, 0, 5974, 0, 0, 0, 0, 0, 0, 93504, 0, 0, 32754, 0, 15712, 0, 0, 43740, 0, 0, 0, 0, 0, 0, -5196, 0, 0, 78036, 0, 162244, 0, 0, -50560, 0, 0, 0, 0, 0, 0, -133404, 0, 0, -103098, 0, -21118, 0, 0, -113528, 0, 0, 0, 0, 0, 0, -59844, 0, 0, 128592, 0, -49500, 0, 0, -7788, 0, 0, 0, 0, 0, 0, 41676, 0, 0, 50340, 0, -9184, 0, 0, -32332, 0, 0, 0, 0, 0, 0, 68112, 0, 0, -34932, 0, 34356, 0, 0, 71336, 0, 0, 0, 0, 0, 0, -13092, 0, 0, 58296, 0, 57156, 0, 0, -73380, 0, 0, 0, 0, 0, 0, -9246, 0, 0, -144240, 0, -64108, 0, 0, -20038, 0, 0, 0, 0, 0, 0, -82194, 0, 0, 67146, 0, 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0, 0, 0, 138876, 0, 0, -49950, 0, 123800, 0, 0, -44866, 0, 0, 0, 0, 0, 0, 110364, 0, 0, 10980, 0, 172592, 0, 0, -38464, 0, 0, 0, 0, 0, 0, -17772, 0, 0, 180480, 0, 187344, 0, 0, -204476, 0, 0, 0, 0, 0, 0, -145872, 0, 0, -216528, 0, -167880, 0, 0, -96720, 0, 0, 0, 0, 0, 0, -44754, 0, 0, 121560, 0, -268342, 0, 0, -10078, 0, 0, 0, 0, 0, 0, 174384, 0, 0, 77196, 0, 235206, 0, 0, 26030, 0, 0, 0, 0, 0, 0, 38598, 0, 0, 18540, 0, -38520, 0, 0, 116820, 0, 0, 0, 0, 0, 0, -83472, 0, 0, 253992, 0, 41874, 0, 0, -139248, 0, 0, 0, 0, 0, 0, -241140, 0, 0, -187800, 0, 143956, 0, 0, -197586, 0, 0, 0, 0, 0, 0, -260664, 0, 0, 298038, 0, 816, 0, 0, -14860, 0, 0, 0, 0, 0, 0, 155760, 0, 0, -10776, 0, -228022, 0, 0, -87440, 0, 0, 0, 0, 0, 0, 92004, 0, 0, -222936, 0, 476656, 0, 0, 111128, 0, 0, 0, 0, 0, 0, 179376, 0, 0, 213348, 0, 14630, 0, 0, -500762, 0, 0, 0, 0, 0, 0, -47946, 0, 0, -201864, 0, -206716, 0, 0, 311226, 0, 0, 0, 0, 0, 0, 26064, 0, 0, 96672, 0, 84164, 0, 0, 348144, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 46600063
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865805549793, 'source_is_minimal': False, 'source_label': '225.4.b.i.199.3', 'source_level': 225, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028865805549793, 'target_is_minimal': False, 'target_label': '225.4.b.i.199.3', 'target_level': 225, 'twist_class_label': '225.4.a.l.1.1', 'twist_class_level': 225, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 46600064
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865805549793, 'source_is_minimal': False, 'source_label': '225.4.b.i.199.3', 'source_level': 225, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028865805549793, 'target_is_minimal': False, 'target_label': '225.4.b.i.199.1', 'target_level': 225, 'twist_class_label': '225.4.a.l.1.1', 'twist_class_level': 225, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46600065
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865805549793, 'source_is_minimal': False, 'source_label': '225.4.b.i.199.3', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195595555041, 'target_is_minimal': True, 'target_label': '225.4.a.m.1.1', 'target_level': 225, 'twist_class_label': '225.4.a.l.1.1', 'twist_class_level': 225, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46600066
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865805549793, 'source_is_minimal': False, 'source_label': '225.4.b.i.199.3', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539595968184545, 'target_is_minimal': True, 'target_label': '225.4.a.l.1.2', 'target_level': 225, 'twist_class_label': '225.4.a.l.1.1', 'twist_class_level': 225, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 46600067
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865805549793, 'source_is_minimal': False, 'source_label': '225.4.b.i.199.3', 'source_level': 225, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028865805549793, 'target_is_minimal': False, 'target_label': '225.4.b.i.199.2', 'target_level': 225, 'twist_class_label': '225.4.a.l.1.1', 'twist_class_level': 225, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 46600068
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865805549793, 'source_is_minimal': False, 'source_label': '225.4.b.i.199.3', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043195595555041, 'target_is_minimal': True, 'target_label': '225.4.a.m.1.2', 'target_level': 225, 'twist_class_label': '225.4.a.l.1.1', 'twist_class_level': 225, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46600069
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865805549793, 'source_is_minimal': False, 'source_label': '225.4.b.i.199.3', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968184545, 'target_is_minimal': True, 'target_label': '225.4.a.l.1.1', 'target_level': 225, 'twist_class_label': '225.4.a.l.1.1', 'twist_class_level': 225, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 46600070
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865805549793, 'source_is_minimal': False, 'source_label': '225.4.b.i.199.3', 'source_level': 225, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36028865805549793, 'target_is_minimal': False, 'target_label': '225.4.b.i.199.4', 'target_level': 225, 'twist_class_label': '225.4.a.l.1.1', 'twist_class_level': 225, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 539425
    {'charpoly_factorization': [[[10, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 2}
  • id: 539426
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028865805549793, 'p': 3}
  • id: 539427
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028865805549793, 'p': 5}
  • id: 539428
    {'charpoly_factorization': [[[225, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 7}
  • id: 539429
    {'charpoly_factorization': [[[-4000, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 11}
  • id: 539430
    {'charpoly_factorization': [[[1225, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 13}
  • id: 539431
    {'charpoly_factorization': [[[7840, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 17}
  • id: 539432
    {'charpoly_factorization': [[[91, 1], 4]], 'hecke_orbit_code': 36028865805549793, 'p': 19}
  • id: 539433
    {'charpoly_factorization': [[[12960, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 23}
  • id: 539434
    {'charpoly_factorization': [[[-4000, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 29}
  • id: 539435
    {'charpoly_factorization': [[[147, 1], 4]], 'hecke_orbit_code': 36028865805549793, 'p': 31}
  • id: 539436
    {'charpoly_factorization': [[[136900, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 37}
  • id: 539437
    {'charpoly_factorization': [[[-196000, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 41}
  • id: 539438
    {'charpoly_factorization': [[[112225, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 43}
  • id: 539439
    {'charpoly_factorization': [[[31360, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 47}
  • id: 539440
    {'charpoly_factorization': [[[7840, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 53}
  • id: 539441
    {'charpoly_factorization': [[[-784000, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 59}
  • id: 539442
    {'charpoly_factorization': [[[-427, 1], 4]], 'hecke_orbit_code': 36028865805549793, 'p': 61}
  • id: 539443
    {'charpoly_factorization': [[[225, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 67}
  • id: 539444
    {'charpoly_factorization': [[[-4000, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 71}
  • id: 539445
    {'charpoly_factorization': [[[4900, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 73}
  • id: 539446
    {'charpoly_factorization': [[[-876, 1], 4]], 'hecke_orbit_code': 36028865805549793, 'p': 79}
  • id: 539447
    {'charpoly_factorization': [[[282240, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, 'p': 83}
  • id: 539448
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028865805549793, 'p': 89}
  • id: 539449
    {'charpoly_factorization': [[[1177225, 0, 1], 2]], 'hecke_orbit_code': 36028865805549793, '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': 2, 'hecke_orbit': 9, 'label': '225.4.b.i', 'level': 225, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 201248000
    {'hecke_orbit_code': 36028865805549793, 'n': 1, 'trace_an': 4}
  • id: 201248001
    {'hecke_orbit_code': 36028865805549793, 'n': 2, 'trace_an': 0}
  • id: 201248002
    {'hecke_orbit_code': 36028865805549793, 'n': 3, 'trace_an': 0}
  • id: 201248003
    {'hecke_orbit_code': 36028865805549793, 'n': 4, 'trace_an': -8}
  • id: 201248004
    {'hecke_orbit_code': 36028865805549793, 'n': 5, 'trace_an': 0}
  • id: 201248005
    {'hecke_orbit_code': 36028865805549793, 'n': 6, 'trace_an': 0}
  • id: 201248006
    {'hecke_orbit_code': 36028865805549793, 'n': 7, 'trace_an': 0}
  • id: 201248007
    {'hecke_orbit_code': 36028865805549793, 'n': 8, 'trace_an': 0}
  • id: 201248008
    {'hecke_orbit_code': 36028865805549793, 'n': 9, 'trace_an': 0}
  • id: 201248009
    {'hecke_orbit_code': 36028865805549793, 'n': 10, 'trace_an': 0}
  • id: 201248010
    {'hecke_orbit_code': 36028865805549793, 'n': 11, 'trace_an': 0}
  • id: 201248011
    {'hecke_orbit_code': 36028865805549793, 'n': 12, 'trace_an': 0}
  • id: 201248012
    {'hecke_orbit_code': 36028865805549793, 'n': 13, 'trace_an': 0}
  • id: 201248013
    {'hecke_orbit_code': 36028865805549793, 'n': 14, 'trace_an': 0}
  • id: 201248014
    {'hecke_orbit_code': 36028865805549793, 'n': 15, 'trace_an': 0}
  • id: 201248015
    {'hecke_orbit_code': 36028865805549793, 'n': 16, 'trace_an': -304}
  • id: 201248016
    {'hecke_orbit_code': 36028865805549793, 'n': 17, 'trace_an': 0}
  • id: 201248017
    {'hecke_orbit_code': 36028865805549793, 'n': 18, 'trace_an': 0}
  • id: 201248018
    {'hecke_orbit_code': 36028865805549793, 'n': 19, 'trace_an': -364}
  • id: 201248019
    {'hecke_orbit_code': 36028865805549793, 'n': 20, 'trace_an': 0}
  • id: 201248020
    {'hecke_orbit_code': 36028865805549793, 'n': 21, 'trace_an': 0}
  • id: 201248021
    {'hecke_orbit_code': 36028865805549793, 'n': 22, 'trace_an': 0}
  • id: 201248022
    {'hecke_orbit_code': 36028865805549793, 'n': 23, 'trace_an': 0}
  • id: 201248023
    {'hecke_orbit_code': 36028865805549793, 'n': 24, 'trace_an': 0}
  • id: 201248024
    {'hecke_orbit_code': 36028865805549793, 'n': 25, 'trace_an': 0}
  • id: 201248025
    {'hecke_orbit_code': 36028865805549793, 'n': 26, 'trace_an': 0}
  • id: 201248026
    {'hecke_orbit_code': 36028865805549793, 'n': 27, 'trace_an': 0}
  • id: 201248027
    {'hecke_orbit_code': 36028865805549793, 'n': 28, 'trace_an': 0}
  • id: 201248028
    {'hecke_orbit_code': 36028865805549793, 'n': 29, 'trace_an': 0}
  • id: 201248029
    {'hecke_orbit_code': 36028865805549793, 'n': 30, 'trace_an': 0}
  • id: 201248030
    {'hecke_orbit_code': 36028865805549793, 'n': 31, 'trace_an': -588}
  • id: 201248031
    {'hecke_orbit_code': 36028865805549793, 'n': 32, 'trace_an': 0}
  • id: 201248032
    {'hecke_orbit_code': 36028865805549793, 'n': 33, 'trace_an': 0}
  • id: 201248033
    {'hecke_orbit_code': 36028865805549793, 'n': 34, 'trace_an': -1120}
  • id: 201248034
    {'hecke_orbit_code': 36028865805549793, 'n': 35, 'trace_an': 0}
  • id: 201248035
    {'hecke_orbit_code': 36028865805549793, 'n': 36, 'trace_an': 0}
  • id: 201248036
    {'hecke_orbit_code': 36028865805549793, 'n': 37, 'trace_an': 0}
  • id: 201248037
    {'hecke_orbit_code': 36028865805549793, 'n': 38, 'trace_an': 0}
  • id: 201248038
    {'hecke_orbit_code': 36028865805549793, 'n': 39, 'trace_an': 0}
  • id: 201248039
    {'hecke_orbit_code': 36028865805549793, 'n': 40, 'trace_an': 0}
  • id: 201248040
    {'hecke_orbit_code': 36028865805549793, 'n': 41, 'trace_an': 0}
  • id: 201248041
    {'hecke_orbit_code': 36028865805549793, 'n': 42, 'trace_an': 0}
  • id: 201248042
    {'hecke_orbit_code': 36028865805549793, 'n': 43, 'trace_an': 0}
  • id: 201248043
    {'hecke_orbit_code': 36028865805549793, 'n': 44, 'trace_an': 0}
  • id: 201248044
    {'hecke_orbit_code': 36028865805549793, 'n': 45, 'trace_an': 0}
  • id: 201248045
    {'hecke_orbit_code': 36028865805549793, 'n': 46, 'trace_an': -1440}
  • id: 201248046
    {'hecke_orbit_code': 36028865805549793, 'n': 47, 'trace_an': 0}
  • id: 201248047
    {'hecke_orbit_code': 36028865805549793, 'n': 48, 'trace_an': 0}
  • id: 201248048
    {'hecke_orbit_code': 36028865805549793, 'n': 49, 'trace_an': 472}
  • id: 201248049
    {'hecke_orbit_code': 36028865805549793, 'n': 50, 'trace_an': 0}
  • id: 201248050
    {'hecke_orbit_code': 36028865805549793, 'n': 51, 'trace_an': 0}
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